output.xml

"<?xml version=\"1.0\" ?>\n<!DOCTYPE PubmedArticleSet PUBLIC \"-//NLM//DTD PubMedArticle, 1st January 2018//EN\" \"https://dtd.nlm.nih.gov/ncbi/pubmed/out/pubmed_180101.dtd\">\n<PubmedArticleSet>\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29637000</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic-eCollection\">\n            <Journal>\n                <ISSN IssnType=\"Print\">2156-6976</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>8</Volume>\n                    <Issue>3</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>American journal of cancer research</Title>\n                <ISOAbbreviation>Am J Cancer Res</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Expression profiles analysis identifies a novel three-mRNA signature to predict overall survival in oral squamous cell carcinoma.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>450-461</MedlinePgn>\n            </Pagination>\n            <Abstract>\n                <AbstractText>Oral squamous cell carcinoma (OSCC) remains to be a challenging public health problem worldwide. However, the underlying molecular mechanism regulating the carcinogenesis of OSCC is poorly known. Gene expression profiles of GSE13601, GSE30784, GSE37991 and The Cancer Genome Atlas (TCGA) head and neck cancer were downloaded from gene expression omnibus (GEO) and TCGA database respectively. R software and bioconductor packages were used to compare and identify the differentially expressed genes (DEGs) between OSCC tissues and normal controls. The common DEGs were then subjected to gene ontology (GO) enrichment analysis, ingenuity pathway analysis (IPA), protein-protein interaction (PPI) network analysis as well as survival analysis. A total of 76 up- and 102 down-regulated DEGs were identified. Functional analysis revealed that these DEGs were associates with increased oncostatin M signaling, cell diapedesis and extravasation as well as reduced calcium signaling and loss of adherens junctions and tight junctions. A set of robust prognostic signatures including <i>PLAU, CLDN8</i> and <i>CDKN2A</i> were identified from DEGs and could predict overall survival in OSCC patients from TCGA cohort. This three-gene signature was further successfully validated as a prognostic marker for overall survival prediction in another independent cohort GSE41613. In conclusion, our study has identified a registry of novel genes and pathways that play important roles in regulating the initiation and development of OSCC. A set of robust molecular signature is identified for prognostic prediction, which will provide useful guidance for therapeutic applications.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Zhao</LastName>\n                    <ForeName>Xinyuan</ForeName>\n                    <Initials>X</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Stomatological Hospital, Southern Medical UniversityGuangzhou 510280, China.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Sun</LastName>\n                    <ForeName>Shuyu</ForeName>\n                    <Initials>S</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Stomatological Hospital, Southern Medical UniversityGuangzhou 510280, China.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Zeng</LastName>\n                    <ForeName>Xiongqun</ForeName>\n                    <Initials>X</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Stomatological Hospital, Southern Medical UniversityGuangzhou 510280, China.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Cui</LastName>\n                    <ForeName>Li</ForeName>\n                    <Initials>L</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>UCLA School of DentistryLos Angeles 90095, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>01</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>Am J Cancer Res</MedlineTA>\n            <NlmUniqueID>101549944</NlmUniqueID>\n            <ISSNLinking>2156-6976</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Gene ontology</Keyword>\n            <Keyword MajorTopicYN=\"N\">ingenuity pathway analysis</Keyword>\n            <Keyword MajorTopicYN=\"N\">oral squamous cell carcinoma</Keyword>\n            <Keyword MajorTopicYN=\"N\">protein-protein interactions network</Keyword>\n            <Keyword MajorTopicYN=\"N\">survival analysis</Keyword>\n        </KeywordList>\n        <CoiStatement>None.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"received\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>10</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"accepted\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>23</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>12</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29637000</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29636595</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic-eCollection\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1177-5467</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>12</Volume>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Clinical ophthalmology (Auckland, N.Z.)</Title>\n                <ISOAbbreviation>Clin Ophthalmol</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Visual acuity, endothelial cell density and polymegathism after iris-fixated lens implantation.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>601-605</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.2147/OPTH.S157501</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"Purpose\" NlmCategory=\"UNASSIGNED\">The purpose of this study was to evaluate the visual acuity as well as endothelial cell density (ECD) and polymegathism after iris-fixated lens (Artiflex<sup>®</sup> AC 401) implantation for correction of moderate to high myopia.</AbstractText>\n                <AbstractText Label=\"Patients and methods\" NlmCategory=\"UNASSIGNED\">In this retrospective cross-sectional study, 55 eyes from 29 patients undergoing iris-fixated lens implantation for correction of myopia (-5.00 to -15.00 D) from 2007 to 2014 were evaluated. Uncorrected visual acuity, best spectacle-corrected visual acuity, refraction, ECD and polymegathism (coefficient of variation [CV] in the sizes of endothelial cells) were measured preoperatively and 6 months postoperatively.</AbstractText>\n                <AbstractText Label=\"Results\" NlmCategory=\"UNASSIGNED\">In the sixth month of follow-up, the uncorrected vision acuity was 20/25 or better in 81.5% of the eyes. The best-corrected visual acuity was 20/30 or better in 96.3% of the eyes, and more than 92% of the eyes had a refraction score of ±1 D from the target refraction. The mean corneal ECD of patients before surgery was 2,803±339 cells/mm<sup>2</sup>, which changed to 2,744±369 cells/mm<sup>2</sup> six months after surgery (<i>p</i>=0.142). CV in the sizes of endothelial cells before the surgery was 25.7%±7.1% and six months after surgery it was 25.9%±5.4% (<i>p</i>=0.857).</AbstractText>\n                <AbstractText Label=\"Conclusion\" NlmCategory=\"UNASSIGNED\">Artiflex iris-fixated lens implantation is a suitable and predictable method for correction of moderate to high myopia. There was no statistically significant change in ECD and polymegathism (CV in the sizes of endothelial cells) after 6 months of follow-up.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Nassiri</LastName>\n                    <ForeName>Nader</ForeName>\n                    <Initials>N</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Imam Hossein Medical Center, Shahid Beheshti University of Medical Science, Tehran, Iran.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Ghorbanhosseini</LastName>\n                    <ForeName>Saeedeh</ForeName>\n                    <Initials>S</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Optometry, Iran University of Medical Sciences, Tehran, Iran.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Jafarzadehpur</LastName>\n                    <ForeName>Ebrahim</ForeName>\n                    <Initials>E</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Optometry, Iran University of Medical Sciences, Tehran, Iran.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Kavousnezhad</LastName>\n                    <ForeName>Sara</ForeName>\n                    <Initials>S</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Vanak Eye Clinic, Tehran, Iran.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Nassiri</LastName>\n                    <ForeName>Nariman</ForeName>\n                    <Initials>N</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Jules Stein Eye Institute, University of California at Los Angeles, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Sheibani</LastName>\n                    <ForeName>Kourosh</ForeName>\n                    <Initials>K</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Basir Eye Health Research Center, Basir Eye Clinic, Tehran, Iran.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>29</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>New Zealand</Country>\n            <MedlineTA>Clin Ophthalmol</MedlineTA>\n            <NlmUniqueID>101321512</NlmUniqueID>\n            <ISSNLinking>1177-5467</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Artiflex</Keyword>\n            <Keyword MajorTopicYN=\"N\">cornea</Keyword>\n            <Keyword MajorTopicYN=\"N\">density</Keyword>\n            <Keyword MajorTopicYN=\"N\">endothelial cell</Keyword>\n            <Keyword MajorTopicYN=\"N\">refractive surgery</Keyword>\n        </KeywordList>\n        <CoiStatement>Disclosure The authors report no conflicts of interest in this work.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>12</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29636595</ArticleId>\n            <ArticleId IdType=\"doi\">10.2147/OPTH.S157501</ArticleId>\n            <ArticleId IdType=\"pii\">opth-12-601</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5880188</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"Publisher\" Owner=\"NLM\">\n        <PMID Version=\"1\">29634568</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>10</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Electronic\">2575-3126</ISSN>\n                <JournalIssue CitedMedium=\"Internet\">\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>Jan</Month>\n                        <Day>25</Day>\n                    </PubDate>\n                </JournalIssue>\n                <Title>A&amp;A practice</Title>\n                <ISOAbbreviation>A A Pract</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Rigid Esophagoscopy-Induced Aortic Rupture During Oral Gastric Tube Placement in Patient With Esophageal Stricture: A Case Report.</ArticleTitle>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1213/XAA.0000000000000721</ELocationID>\n            <Abstract>\n                <AbstractText>This is the first account of significant aortic injury during diagnostic rigid esophagoscopy in an adult with an esophageal stricture. We describe the resultant hemothorax and hemodynamic collapse and the successful treatment with massive volume resuscitation, vasopressors, and timely surgical intervention including thoracic endovascular aortic repair. We discuss the importance of rapid diagnosis, relevant anatomy, treatment modalities, and communication as cornerstones for learning.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Hsu</LastName>\n                    <ForeName>Derek Y</ForeName>\n                    <Initials>DY</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>From the Department of Anesthesiology, Ronald Reagan UCLA Medical Center, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Gabel</LastName>\n                    <ForeName>Eilon</ForeName>\n                    <Initials>E</Initials>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D002363\">Case Reports</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>25</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>A A Pract</MedlineTA>\n            <NlmUniqueID>101714112</NlmUniqueID>\n            <ISSNLinking>2575-3126</ISSNLinking>\n        </MedlineJournalInfo>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>aheadofprint</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29634568</ArticleId>\n            <ArticleId IdType=\"doi\">10.1213/XAA.0000000000000721</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29632673</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>10</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic-eCollection\">\n            <Journal>\n                <ISSN IssnType=\"Print\">2053-3624</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>5</Volume>\n                    <Issue>1</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Open heart</Title>\n                <ISOAbbreviation>Open Heart</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Clinical presentation of CIED infection following initial implant versus reoperation for generator change or lead addition.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>e000681</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1136/openhrt-2017-000681</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"Objective\" NlmCategory=\"UNASSIGNED\">To explore differences in clinical manifestations and outcomes in those patients who develop infection after undergoing initial implantation versus reoperation.</AbstractText>\n                <AbstractText Label=\"Methods\" NlmCategory=\"UNASSIGNED\">We compared cases of cardiac implantable electronic device (CIED) infection based on initial implantation versus reoperation from 11 centres.</AbstractText>\n                <AbstractText Label=\"Results\" NlmCategory=\"UNASSIGNED\">There were 432 patients with CIED infection, 178 occurring after initial device placement and 254 after repeat reoperation. No differences were seen in age, sex or device type. Those with infection after initial implant had a higher Charlson Comorbidity Score (median 3 (IQR 2-6) vs 2 (IQR 1-4), p&lt;0.001), shorter time since last procedure (median 8.9 months (IQR 0.9-33.3) vs 19.5 months (IQR 1.1-62.9), p&lt;0.0001) and fewer leads (2.0±0.6vs 2.5±0.9, p&lt;0.001). Pocket infections were more likely to occur after a reoperation (70.1%vs48.9%, p&lt;0.001) and coagulase negative staphylococci (CoNS) was the most frequently isolated organism in this group (p=0.029). In contrast, initial implant infections were more likely to present with higher white cell count (10.5±5.1 g/dL vs 9.5±5.4 g/dL, p=0.025), metastatic foci of infection (16.9%vs8.7%, p=0.016) and sepsis (30.9%vs19.3%, p=0.006). There were no differences in in-hospital (7.9%vs5.2%, p=0.31) or 6-month mortality (21.9%vs14.0%, p=0.056).</AbstractText>\n                <AbstractText Label=\"Conclusions\" NlmCategory=\"UNASSIGNED\">CIED infections after initial device implant occur earlier, more aggressively, and often due to <i>Staphylococcus aureus</i>. In contrast, CIED infections after reoperation occur later, are due to CoNS, and have more indolent manifestations with primary localisation to the pocket.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Harper</LastName>\n                    <ForeName>Mariko W</ForeName>\n                    <Initials>MW</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Medicine, Division of Cardiology, University of Washington, Seattle, Washington, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Uslan</LastName>\n                    <ForeName>Daniel Z</ForeName>\n                    <Initials>DZ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Infectious Diseases, Department of Medicine, UCLA, Los Angeles, California, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Greenspon</LastName>\n                    <ForeName>Arnold J</ForeName>\n                    <Initials>AJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Cardiology, Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Baddour</LastName>\n                    <ForeName>Larry M</ForeName>\n                    <Initials>LM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Infectious Diseases, Department of Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Carrillo</LastName>\n                    <ForeName>Roger G</ForeName>\n                    <Initials>RG</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Cardiothoracic Surgery, University of Miami, Miller School of Medicine, Miami, Florida, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Danik</LastName>\n                    <ForeName>Stephan B</ForeName>\n                    <Initials>SB</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston, Massachusetts, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Tolosana</LastName>\n                    <ForeName>Jose M</ForeName>\n                    <Initials>JM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Infectious Diseases Service, Hospital Clinic, IDIBAPS, University of Barcelona, Barcelona, Spain.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Le</LastName>\n                    <ForeName>Katherine</ForeName>\n                    <Initials>K</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Infectious Diseases, Department of Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Miro</LastName>\n                    <ForeName>Jose M</ForeName>\n                    <Initials>JM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Infectious Diseases Service, Hospital Clinic, IDIBAPS, University of Barcelona, Barcelona, Spain.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Naber</LastName>\n                    <ForeName>Christoph K</ForeName>\n                    <Initials>CK</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Klinik für Kardiologie und Angiologie, Elisabeth Krankenhaus, Essen, Germany.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Peacock</LastName>\n                    <ForeName>James</ForeName>\n                    <Initials>J</Initials>\n                    <Suffix>Jr.</Suffix>\n                    <AffiliationInfo>\n                        <Affiliation>Section on Infectious Diseases, Department of Medicin, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Sohail</LastName>\n                    <ForeName>Muhammad Rizwan</ForeName>\n                    <Initials>MR</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Infectious Diseases, Department of Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Vikram</LastName>\n                    <ForeName>Holenarasipur R</ForeName>\n                    <Initials>HR</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Infectious Diseases, Department of Medicine, Mayo Clinic Arizona, Phoenix, Arizona, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Prutkin</LastName>\n                    <ForeName>Jordan M</ForeName>\n                    <Initials>JM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Medicine, Division of Cardiology, University of Washington, Seattle, Washington, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>30</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>England</Country>\n            <MedlineTA>Open Heart</MedlineTA>\n            <NlmUniqueID>101631219</NlmUniqueID>\n            <ISSNLinking>2053-3624</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">endocarditis</Keyword>\n            <Keyword MajorTopicYN=\"N\">implantable cardioverter-defibrillator</Keyword>\n            <Keyword MajorTopicYN=\"N\">permanent pacemaker</Keyword>\n        </KeywordList>\n        <CoiStatement>Competing interests: None declared.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"received\">\n                <Year>2017</Year>\n                <Month>06</Month>\n                <Day>21</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"revised\">\n                <Year>2018</Year>\n                <Month>02</Month>\n                <Day>01</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"accepted\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>06</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29632673</ArticleId>\n            <ArticleId IdType=\"doi\">10.1136/openhrt-2017-000681</ArticleId>\n            <ArticleId IdType=\"pii\">openhrt-2017-000681</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5888434</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29632453</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>10</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1557-1874</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>16</Volume>\n                    <Issue>1</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>Feb</Month>\n                    </PubDate>\n                </JournalIssue>\n                <Title>International journal of mental health and addiction</Title>\n                <ISOAbbreviation>Int J Ment Health Addict</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Criterion validity of self-reports of alcohol, cannabis, and methamphetamine use among young men in Cape Town, South Africa.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>45-52</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1007/s11469-017-9769-4</ELocationID>\n            <Abstract>\n                <AbstractText>Valid measurement of substance use is necessary to evaluate preventive and treatment interventions. Self-report is fast and inexpensive, but its accuracy can be hampered by social desirability bias and imperfect recall. We examined the agreement between self-report of recent use and rapid diagnostic tests for three substances (alcohol, cannabis, and methamphetamine) among 904 young men living in Cape Town, South Africa. Rapid diagnostic tests detected the respective substances in 32%, 52%, and 22% of men. Among those who tested positive, 61% (95% CI [56%, 66%]), 70% ([67%, 74%]), and 48% ([42%, 54%]) admitted use. Men were moderately more willing to admit use of cannabis than alcohol (log OR 0.42) or admit use of alcohol than methamphetamine (log OR 0.53). Our findings show that self-report has reasonable criterion validity in this population, but criterion validity can vary substantially depending on the substance.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Arfer</LastName>\n                    <ForeName>Kodi B</ForeName>\n                    <Initials>KB</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>UCLA Center for HIV Identification, Prevention, and Treatment Services, University of California Los Angeles, CA, US.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Tomlinson</LastName>\n                    <ForeName>Mark</ForeName>\n                    <Initials>M</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Psychology, Stellenbosch University, South Africa.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Mayekiso</LastName>\n                    <ForeName>Andile</ForeName>\n                    <Initials>A</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Psychology, Stellenbosch University, South Africa.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Bantjes</LastName>\n                    <ForeName>Jason</ForeName>\n                    <Initials>J</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Psychology, Stellenbosch University, South Africa.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>van Heerden</LastName>\n                    <ForeName>Alastair</ForeName>\n                    <Initials>A</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Human and Social Development Research Programme, Human Sciences Research Council, South Africa.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Rotheram-Borus</LastName>\n                    <ForeName>Mary Jane</ForeName>\n                    <Initials>MJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>UCLA Center for HIV Identification, Prevention, and Treatment Services, University of California Los Angeles, CA, US.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2017</Year>\n                <Month>05</Month>\n                <Day>01</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>Int J Ment Health Addict</MedlineTA>\n            <NlmUniqueID>101256588</NlmUniqueID>\n            <ISSNLinking>1557-1874</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">South Africa</Keyword>\n            <Keyword MajorTopicYN=\"N\">alcohol</Keyword>\n            <Keyword MajorTopicYN=\"N\">cannabis</Keyword>\n            <Keyword MajorTopicYN=\"N\">criterion validity</Keyword>\n            <Keyword MajorTopicYN=\"N\">methamphetamine</Keyword>\n            <Keyword MajorTopicYN=\"N\">self-report</Keyword>\n        </KeywordList>\n        <CoiStatement>All authors declare that they have no conflict of interest.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"pmc-release\">\n                <Year>2019</Year>\n                <Month>02</Month>\n                <Day>01</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>11</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29632453</ArticleId>\n            <ArticleId IdType=\"doi\">10.1007/s11469-017-9769-4</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5889135</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29628992</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>09</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1753-8068</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>10</Volume>\n                    <Issue>2</Issue>\n                    <PubDate>\n                        <Year>2017</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Journal of communication in healthcare</Title>\n                <ISOAbbreviation>J Commun Healthc</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Understanding where and why Senegalese adolescents and young adults access health information: A mixed methods study examining contextual and personal influences on health information seeking.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>116-148</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1080/17538068.2017.1313627</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"Background\" NlmCategory=\"UNASSIGNED\">Adolescent and young adult years are critical to the development of behaviors that influence health across the life course. To reveal which health communication channels should be used to effectively reach and influence younger populations in Senegal, we used a mixed methods approach to identify and interpret the multifaceted influences surrounding where and why this population accesses health information.</AbstractText>\n                <AbstractText Label=\"Methods\" NlmCategory=\"UNASSIGNED\">We conducted 16 focus group discussions among adolescents and young adults in Senegal in September 2012. We then collected survey data from a larger, more diverse sample of Senegalese youth in October-November 2014.</AbstractText>\n                <AbstractText Label=\"Results\" NlmCategory=\"UNASSIGNED\">Our results demonstrate that information sources vary by health topic, differential access, age, and other demographics. While there is a greater perception of credibility and usefulness in information received from health professionals, stigma remains a barrier for obtaining information about HIV/AIDS from health centers. Older youth are also less likely to seek health information from adults, which may be influenced by preferred use of information technologies, especially for information about taboo health topics.</AbstractText>\n                <AbstractText Label=\"Conclusions\" NlmCategory=\"UNASSIGNED\">Our findings support multi-pronged, targeted approaches to health communication efforts. We recommend that doctors continue to provide actionable information about preventing or treating specific diseases, whereas teachers should educate youth about general health topics and health promotion behaviors. The results suggest that traditional mass media, such as radio and television, are the best communication channels for information about HIV and sexual/reproductive health, especially for older adolescents and young adults.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Adams</LastName>\n                    <ForeName>Rachel M</ForeName>\n                    <Initials>RM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Riess</LastName>\n                    <ForeName>Helene</ForeName>\n                    <Initials>H</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Massey</LastName>\n                    <ForeName>Philip M</ForeName>\n                    <Initials>PM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Community Health and Prevention, Drexel University School of Public Health, Philadelphia, PA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Gipson</LastName>\n                    <ForeName>Jessica D</ForeName>\n                    <Initials>JD</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Prelip</LastName>\n                    <ForeName>Michael L</ForeName>\n                    <Initials>ML</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Dieng</LastName>\n                    <ForeName>Thierno</ForeName>\n                    <Initials>T</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Regional Centre for Training, Research and Advocacy on Reproductive Health (CEFOREP), Hôpital Aristide Le Dantec, Dakar, Senegal.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Glik</LastName>\n                    <ForeName>Deborah C</ForeName>\n                    <Initials>DC</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2017</Year>\n                <Month>04</Month>\n                <Day>13</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>England</Country>\n            <MedlineTA>J Commun Healthc</MedlineTA>\n            <NlmUniqueID>101489047</NlmUniqueID>\n            <ISSNLinking>1753-8068</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Adolescent health</Keyword>\n            <Keyword MajorTopicYN=\"N\">Health communication</Keyword>\n            <Keyword MajorTopicYN=\"N\">Health information</Keyword>\n            <Keyword MajorTopicYN=\"N\">Information sources</Keyword>\n            <Keyword MajorTopicYN=\"N\">Information technology</Keyword>\n            <Keyword MajorTopicYN=\"N\">Senegal</Keyword>\n            <Keyword MajorTopicYN=\"N\">Youth audiences</Keyword>\n            <Keyword MajorTopicYN=\"N\">sub-Saharan Africa</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"pmc-release\">\n                <Year>2018</Year>\n                <Month>04</Month>\n                <Day>13</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2017</Year>\n                <Month>1</Month>\n                <Day>1</Day>\n                <Hour>0</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2017</Year>\n                <Month>1</Month>\n                <Day>1</Day>\n                <Hour>0</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29628992</ArticleId>\n            <ArticleId IdType=\"doi\">10.1080/17538068.2017.1313627</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5884132</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29629432</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Print\">\n            <Journal>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>2017</Volume>\n                    <PubDate>\n                        <Year>2017</Year>\n                        <Month>Sep</Month>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference)</Title>\n                <ISOAbbreviation>Proc ACM Int Conf Ubiquitous Comput</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Emu: Engagement Modeling for User Studies.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>959-964</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1145/3123024.3124568</ELocationID>\n            <Abstract>\n                <AbstractText>Mobile technologies that drive just-in-time ecological momentary assessments and interventions provide an unprecedented view into user behaviors and opportunities to manage chronic conditions. The success of these methods rely on engaging the user at the appropriate moment, so as to maximize questionnaire and task completion rates. However, mobile operating systems provide little support to precisely specify the contextual conditions in which to notify and engage the user, and study designers often lack the expertise to build context-aware software themselves. To address this problem, we have developed <i>Emu</i>, a framework that eases the development of context-aware study applications by providing a concise and powerful interface for specifying temporal- and contextual-constraints for task notifications. In this paper we present the design of the <i>Emu</i> API and demonstrate its use in capturing a range of scenarios common to smartphone-based study applications.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Ho</LastName>\n                    <ForeName>Bo-Jhang</ForeName>\n                    <Initials>BJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Nikzad</LastName>\n                    <ForeName>Nima</ForeName>\n                    <Initials>N</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Scripps Translational Science Institute, La Jolla, CA 92037, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Balaji</LastName>\n                    <ForeName>Bharathan</ForeName>\n                    <Initials>B</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Srivastava</LastName>\n                    <ForeName>Mani</ForeName>\n                    <Initials>M</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>Proc ACM Int Conf Ubiquitous Comput</MedlineTA>\n            <NlmUniqueID>101577951</NlmUniqueID>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Annu Rev Clin Psychol. 2008;4:1-32</RefSource>\n                <PMID Version=\"1\">18509902</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>JAMA Psychiatry. 2014 May;71(5):566-72</RefSource>\n                <PMID Version=\"1\">24671165</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Ann Behav Med. 2016 Sep 23;:</RefSource>\n                <PMID Version=\"1\">27663578</PMID>\n            </CommentsCorrections>\n        </CommentsCorrectionsList>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Context-aware</Keyword>\n            <Keyword MajorTopicYN=\"N\">Frameworks</Keyword>\n            <Keyword MajorTopicYN=\"N\">H.5.m [Information interfaces and presentation (e.g., HCI)]</Keyword>\n            <Keyword MajorTopicYN=\"N\">Miscellaneous; D.3.3 [Language Constructs and Features]</Keyword>\n            <Keyword MajorTopicYN=\"N\">engagement</Keyword>\n            <Keyword MajorTopicYN=\"N\">just-in-time assessment</Keyword>\n            <Keyword MajorTopicYN=\"N\">mhealth</Keyword>\n            <Keyword MajorTopicYN=\"N\">mobile applications</Keyword>\n            <Keyword MajorTopicYN=\"N\">push notifications</Keyword>\n            <Keyword MajorTopicYN=\"N\">user studies</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29629432</ArticleId>\n            <ArticleId IdType=\"doi\">10.1145/3123024.3124568</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5889142</ArticleId>\n            <ArticleId IdType=\"mid\">NIHMS928875</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29629431</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Print\">\n            <Journal>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>2017</Volume>\n                    <PubDate>\n                        <Year>2017</Year>\n                        <Month>Jun</Month>\n                    </PubDate>\n                </JournalIssue>\n                <Title>MobiSys ... : the ... International Conference on Mobile Systems, Applications and Services. International Conference on Mobile Systems, Applications, and Services</Title>\n                <ISOAbbreviation>MobiSys</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>7-12</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1145/3089801.3089805</ELocationID>\n            <Abstract>\n                <AbstractText>Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. <i>3 times faster</i> in our experiments) due to GPU support.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Alzantot</LastName>\n                    <ForeName>Moustafa</ForeName>\n                    <Initials>M</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Wang</LastName>\n                    <ForeName>Yingnan</ForeName>\n                    <Initials>Y</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Ren</LastName>\n                    <ForeName>Zhengshuang</ForeName>\n                    <Initials>Z</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Srivastava</LastName>\n                    <ForeName>Mani B</ForeName>\n                    <Initials>MB</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California, Los Angeles, Los Angeles, CA 90095.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>MobiSys</MedlineTA>\n            <NlmUniqueID>101655440</NlmUniqueID>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Android</Keyword>\n            <Keyword MajorTopicYN=\"N\">Convolution</Keyword>\n            <Keyword MajorTopicYN=\"N\">Deep learning</Keyword>\n            <Keyword MajorTopicYN=\"N\">LSTM</Keyword>\n            <Keyword MajorTopicYN=\"N\">Neural networks</Keyword>\n            <Keyword MajorTopicYN=\"N\">RenderScript</Keyword>\n            <Keyword MajorTopicYN=\"N\">TensorFlow</Keyword>\n            <Keyword MajorTopicYN=\"N\">heterogeneous computing</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29629431</ArticleId>\n            <ArticleId IdType=\"doi\">10.1145/3089801.3089805</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5889131</ArticleId>\n            <ArticleId IdType=\"mid\">NIHMS928858</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29629404</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">2372-952X</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>5</Volume>\n                    <Issue>1</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>Jan</Month>\n                        <Day>24</Day>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Chronic obstructive pulmonary diseases (Miami, Fla.)</Title>\n                <ISOAbbreviation>Chronic Obstr Pulm Dis</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Marijuana Use Associations with Pulmonary Symptoms and Function in Tobacco Smokers Enrolled in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>46-56</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.15326/jcopdf.5.1.2017.0141</ELocationID>\n            <Abstract>\n                <AbstractText><b>Background:</b> Marijuana is often smoked via a filterless cigarette and contains similar chemical makeup as smoked tobacco. There are few publications describing usage patterns and respiratory risks in older adults or in those with chronic obstructive pulmonary disease (COPD). <b>Methods:</b> A cross-sectional analysis of current and former tobacco smokers from the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) study assessed associations between marijuana use and pulmonary outcomes. Marijuana use was defined as never, former (use over 30 days ago), or current (use within 30 days). Respiratory health was assessed using quantitative high-resolution computed tomography (HRCT) scans, pulmonary function tests and questionnaire responses about respiratory symptoms. <b>Results:</b> Of the total 2304 participants, 1130 (49%) never, 982 (43%) former, and 192 (8%) current marijuana users were included. Neither current nor former marijuana use was associated with increased odds of wheeze (odds ratio [OR] 0.87, OR 0.97), cough (OR 1.22; OR 0.93) or chronic bronchitis (OR 0.87; OR 1.00) when compared to never users. Current and former marijuana users had lower quantitative emphysema (<i>P</i>=0.004, <i>P</i>=0.03), higher percent predicted forced expiratory volume in 1 second (FEV<sub>1</sub>%) (<i>P</i>&lt;0.001, <i>P</i>&lt;0.001), and percent predicted forced vital capacity (FVC%) (<i>p</i>&lt;0.001, <i>P</i>&lt;0.001). Current marijuana users exhibited higher total tissue volume (<i>P</i>=0.003) while former users had higher air trapping (<i>P</i>&lt;0.001) when compared to never marijuana users. <b>Conclusions:</b> Marijuana use was found to have little to no association with poor pulmonary health in older current and former tobacco smokers after adjusting for covariates. Higher forced expiratory volume in 1 second (FEV<sub>1</sub>) and forced vital capacity (FVC) was observed among current marijuana users. However, higher joint years was associated with more chronic bronchitis symptoms (e.g., wheeze), and this study cannot determine if long-term heavy marijuana smoking in the absence of tobacco smoking is associated with lung symptoms, airflow obstruction, or emphysema, particularly in those who have never smoked tobacco cigarettes.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Morris</LastName>\n                    <ForeName>Madeline A</ForeName>\n                    <Initials>MA</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1-National Jewish Health, Denver, Colorado.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Jacobson</LastName>\n                    <ForeName>Sean R</ForeName>\n                    <Initials>SR</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1-National Jewish Health, Denver, Colorado.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Kinney</LastName>\n                    <ForeName>Gregory L</ForeName>\n                    <Initials>GL</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>2-Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Tashkin</LastName>\n                    <ForeName>Donald P</ForeName>\n                    <Initials>DP</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>3-Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California at Los Angeles.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Woodruff</LastName>\n                    <ForeName>Prescott G</ForeName>\n                    <Initials>PG</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>4-Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine and Cardiovascular Research Institute, University of California San Francisco, School of Medicine, San Francisco.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Hoffman</LastName>\n                    <ForeName>Eric A</ForeName>\n                    <Initials>EA</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>5-Departments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Kanner</LastName>\n                    <ForeName>Richard E</ForeName>\n                    <Initials>RE</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>6-University of Utah Health Sciences Center, Salt Lake City.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>7-Department of Biostatics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Cooper</LastName>\n                    <ForeName>Christopher B</ForeName>\n                    <Initials>CB</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>3-Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California at Los Angeles.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Drummond</LastName>\n                    <ForeName>M Brad</ForeName>\n                    <Initials>MB</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>8-Division of Pulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Barr</LastName>\n                    <ForeName>R Graham</ForeName>\n                    <Initials>RG</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>9-Columbia University, Division of General Medicine, New York, New York.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Oelsner</LastName>\n                    <ForeName>Elizabeth C</ForeName>\n                    <Initials>EC</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>9-Columbia University, Division of General Medicine, New York, New York.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Make</LastName>\n                    <ForeName>Barry J</ForeName>\n                    <Initials>BJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1-National Jewish Health, Denver, Colorado.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Han</LastName>\n                    <ForeName>MeiLan K</ForeName>\n                    <Initials>MK</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>10-University Michigan Health System, Ann Arbor.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Hansel</LastName>\n                    <ForeName>Nadia N</ForeName>\n                    <Initials>NN</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>11-Johns Hopkins University, Baltimore, Maryland.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>O'Neal</LastName>\n                    <ForeName>Wanda K</ForeName>\n                    <Initials>WK</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>8-Division of Pulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Bowler</LastName>\n                    <ForeName>Russell P</ForeName>\n                    <Initials>RP</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1-National Jewish Health, Denver, Colorado.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>24</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>Chronic Obstr Pulm Dis</MedlineTA>\n            <NlmUniqueID>101635411</NlmUniqueID>\n            <ISSNLinking>2372-952X</ISSNLinking>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Thorax. 2002 Jun;57(6):563</RefSource>\n                <PMID Version=\"1\">12037239</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Arch Intern Med. 2007 Feb 12;167(3):221-8</RefSource>\n                <PMID Version=\"1\">17296876</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>J Clin Pharmacol. 2002 Nov;42(11 Suppl):71S-81S</RefSource>\n                <PMID Version=\"1\">12412839</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections 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MajorTopicYN=\"N\">chronic obstructive pulmonary disease</Keyword>\n            <Keyword MajorTopicYN=\"N\">computed tomography scan</Keyword>\n            <Keyword MajorTopicYN=\"N\">cross-sectional</Keyword>\n            <Keyword MajorTopicYN=\"N\">emphysema</Keyword>\n            <Keyword MajorTopicYN=\"N\">epidemiology</Keyword>\n            <Keyword MajorTopicYN=\"N\">forced expiratory volume</Keyword>\n            <Keyword MajorTopicYN=\"N\">forced vital capacity</Keyword>\n            <Keyword MajorTopicYN=\"N\">marijuana</Keyword>\n            <Keyword MajorTopicYN=\"N\">pulmonary</Keyword>\n            <Keyword MajorTopicYN=\"N\">respiratory</Keyword>\n            <Keyword MajorTopicYN=\"N\">smoking</Keyword>\n            <Keyword MajorTopicYN=\"N\">tobacco</Keyword>\n        </KeywordList>\n        <CoiStatement>Declaration of Interest The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29629404</ArticleId>\n            <ArticleId IdType=\"doi\">10.15326/jcopdf.5.1.2017.0141</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5870739</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29628950</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1664-9737</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>7</Volume>\n                    <Issue>1-2</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>Feb</Month>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Interventional neurology</Title>\n                <ISOAbbreviation>Interv Neurol</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Safety Assessment of Endovascular Treatment of Cerebral Aneurysms in Patients with Fibromuscular Dysplasia.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>110-117</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1159/000485133</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"Background\" NlmCategory=\"UNASSIGNED\">The prevalence of cerebral aneurysms is increased in fibromuscular dysplasia (FMD). The presence of FMD may serve as discouragement to elective endovascular aneurysm treatment. Outcomes of endovascular intervention for aneurysms through vessels affected by FMD have not been reported.</AbstractText>\n                <AbstractText Label=\"Methods\" NlmCategory=\"UNASSIGNED\">A prospectively maintained database of patients undergoing intracranial embolization was reviewed for patients with FMD who underwent endovascular aneurysm treatment.</AbstractText>\n                <AbstractText Label=\"Results\" NlmCategory=\"UNASSIGNED\">A total of 1,025 patients were screened and 31 (3.0%) had cerebrovascular FMD. These patients underwent a total of 43 embolization procedures; 27 of these procedures were performed through an affected vessel. All but 1 patient were female and the average age was 62 years. &quot;String-of-pearls&quot;-type FMD was the most common subtype (90%). The internal carotid arteries were more commonly affected (65%) than the vertebral arteries (48%). All patients underwent treatment of cerebral aneurysms, most of which (87%) were incidentally discovered; 6 patients (19%) also had incidental vessel dissection. The average aneurysm size was 7.1 mm. The morphology was saccular in 93% of the cases, and 86% were in the anterior circulation. The most commonly performed treatment was flow diversion (67%), in the majority of cases by pipeline embolization. Other procedures performed were coiling (19%), stent-coiling (12%), and intrasaccular flow disruption (2%). All but 1 procedure (98%) were successful. There were no major complications; 1 patient experienced a transient ischemic attack. Follow-up angiography was performed in 88% of the cases, without evidence for disease progression after treatment. The average time to last angiographic follow-up was 17 months (±13).</AbstractText>\n                <AbstractText Label=\"Conclusions\" NlmCategory=\"UNASSIGNED\">Elective embolization of intracranial aneurysms can be performed safely through vessels affected by FMD.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Bender</LastName>\n                    <ForeName>Matthew T</ForeName>\n                    <Initials>MT</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Hurtado</LastName>\n                    <ForeName>Christopher</ForeName>\n                    <Initials>C</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Jiang</LastName>\n                    <ForeName>Bowen</ForeName>\n                    <Initials>B</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Campos</LastName>\n                    <ForeName>Jessica K</ForeName>\n                    <Initials>JK</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Huang</LastName>\n                    <ForeName>Judy</ForeName>\n                    <Initials>J</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Tamargo</LastName>\n                    <ForeName>Rafael J</ForeName>\n                    <Initials>RJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Lin</LastName>\n                    <ForeName>Li-Mei</ForeName>\n                    <Initials>LM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, University of California Irvine, Orange, California, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Coon</LastName>\n                    <ForeName>Alexander L</ForeName>\n                    <Initials>AL</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Colby</LastName>\n                    <ForeName>Geoffrey P</ForeName>\n                    <Initials>GP</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, University of California Los Angeles, Los Angeles, California, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2017</Year>\n                <Month>12</Month>\n                <Day>16</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>Switzerland</Country>\n            <MedlineTA>Interv Neurol</MedlineTA>\n            <NlmUniqueID>101606828</NlmUniqueID>\n            <ISSNLinking>1664-5545</ISSNLinking>\n        </MedlineJournalInfo>\n        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PubStatus=\"pmc-release\">\n                <Year>2019</Year>\n                <Month>02</Month>\n                <Day>01</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29628950</ArticleId>\n            <ArticleId IdType=\"doi\">10.1159/000485133</ArticleId>\n            <ArticleId IdType=\"pii\">ine-0007-0110</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5881152</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29628784</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1369-118X</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>21</Volume>\n                    <Issue>2</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Information, communication and society</Title>\n                <ISOAbbreviation>Inf Commun Soc</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>The Relationship Between Social Media Use and Sleep Quality among Undergraduate Students.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>163-173</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1080/1369118X.2016.1266374</ELocationID>\n            <Abstract>\n                <AbstractText>Insufficient sleep is a growing health problem among University students, especially for freshmen during their first quarter/semester of college. Little research has studied how social media technologies impact sleep quality among college students. This study aims to determine the relationship between social media use and sleep quality among freshman undergraduates during their first quarter in college. Specifically, we explored whether variations in Twitter use across the time of day and day of the week would be associated with self-reported sleep quality. We conducted a study of Freshman Twitter-using students (N = 197) over their first quarter of college, between October to December of 2015. We collected students' tweets, labeled the content of the tweets according to different emotional states, and gave theme weekly surveys on sleep quality. Tweeting more frequently on weekday late nights was associated with lower sleep quality (β = -0.937, SE = 0.352); tweeting more frequently on weekday evenings was associated with better quality sleep (β = 0.189, SE = 0.097). Tweets during the weekday that were labeled related to the emotion of fear were associated with lower sleep quality (β = -0.302, SE = 0.131). Results suggest that social media use is associated with sleep quality among students. Results provide can be used to inform future interventions to improve sleep quality among college students.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Garett</LastName>\n                    <ForeName>Renee</ForeName>\n                    <Initials>R</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>ElevateU, Los Angeles, CA USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Liu</LastName>\n                    <ForeName>Sam</ForeName>\n                    <Initials>S</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California Institute for Prediction Technology (UCIPT), Department of Family Medicine, UCLA, Los Angeles, CA 90024, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Young</LastName>\n                    <ForeName>Sean D</ForeName>\n                    <Initials>SD</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>University of California Institute for Prediction Technology (UCIPT), Department of Family Medicine, UCLA, Los Angeles, CA 90024, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2016</Year>\n                <Month>12</Month>\n                <Day>20</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>England</Country>\n            <MedlineTA>Inf Commun Soc</MedlineTA>\n            <NlmUniqueID>101688253</NlmUniqueID>\n            <ISSNLinking>1369-118X</ISSNLinking>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Lancet. 1999 Oct 23;354(9188):1435-9</RefSource>\n                <PMID Version=\"1\">10543671</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Science. 2011 Sep 30;333(6051):1878-81</RefSource>\n                <PMID Version=\"1\">21960633</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Sleep Med Rev. 2007 Jun;11(3):163-78</RefSource>\n                <PMID Version=\"1\">17442599</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Chronobiol Int. 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      <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Sleep Med. 2010 Sep;11(8):735-42</RefSource>\n                <PMID Version=\"1\">20673649</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Prev Med. 2016 Apr;85:36-41</RefSource>\n                <PMID Version=\"1\">26791323</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>J Exp Psychol Appl. 2000 Sep;6(3):236-49</RefSource>\n                <PMID Version=\"1\">11014055</PMID>\n            </CommentsCorrections>\n        </CommentsCorrectionsList>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Emotions/Mood</Keyword>\n            <Keyword MajorTopicYN=\"N\">Sleep Quality</Keyword>\n            <Keyword MajorTopicYN=\"N\">Social Media</Keyword>\n            <Keyword MajorTopicYN=\"N\">Twitter</Keyword>\n            <Keyword MajorTopicYN=\"N\">University Students</Keyword>\n        </KeywordList>\n        <CoiStatement>Disclosure Statement: There is no financial interest or benefit for any author and there is no conflict of interest to report. Additionally, there is no funding to report for this study.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"pmc-release\">\n                <Year>2019</Year>\n                <Month>01</Month>\n                <Day>01</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29628784</ArticleId>\n            <ArticleId IdType=\"doi\">10.1080/1369118X.2016.1266374</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5881928</ArticleId>\n            <ArticleId IdType=\"mid\">NIHMS925237</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29628750</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>11</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1040-0397</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>29</Volume>\n                    <Issue>10</Issue>\n                    <PubDate>\n                        <Year>2017</Year>\n                        <Month>Oct</Month>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Electroanalysis</Title>\n                <ISOAbbreviation>Electroanalysis</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Enzyme Deposition by Polydimethylsiloxane Stamping for Biosensor Fabrication.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>2300-2306</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1002/elan.201700302</ELocationID>\n            <Abstract>\n                <AbstractText>High-performance biosensors were fabricated by efficiently transferring enzyme onto Pt electrode surfaces using a polydimethylsiloxane (PDMS) stamp. Polypyrrole and Nafion were coated first on the electrode surface to act as permselective films for exclusion of both anionic and cationic electrooxidizable interfering compounds. A chitosan film then was electrochemically deposited to serve as an adhesive layer for enzyme immobilization. Glucose oxidase (GOx) was selected as a model enzyme for construction of a glucose biosensor, and a mixture of GOx and bovine serum albumin was stamped onto the chitosan-coated surface and subsequently crosslinked using glutaraldehyde vapor. For the optimized fabrication process, the biosensor exhibited excellent performance characteristics including a linear range up to 2 mM with sensitivity of 29.4 ± 1.3 μA mM<sup>-1</sup> cm<sup>-2</sup> and detection limit of 4.3 ± 1.7 μM (S/N = 3) as well as a rapid response time of ~2 s. In comparison to those previously described, this glucose biosensor exhibits an excellent combination of high sensitivity, low detection limit, rapid response time, and good selectivity. Thus, these results support the use of PDMS stamping as an effective enzyme deposition method for electroenzymatic biosensor fabrication, which may prove especially useful for the deposition of enzyme at selected sites on microelectrode array microprobes of the kind used for neuroscience research <i>in vivo</i>.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Wang</LastName>\n                    <ForeName>Bo</ForeName>\n                    <Initials>B</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Chemical and Biomolecular Engineering Department, University of California, Los Angeles, Los Angeles, CA 90095, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Koo</LastName>\n                    <ForeName>Bonhye</ForeName>\n                    <Initials>B</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Chemical and Biomolecular Engineering Department, University of California, Los Angeles, Los Angeles, CA 90095, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Monbouquette</LastName>\n                    <ForeName>Harold G</ForeName>\n                    <Initials>HG</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Chemical and Biomolecular Engineering Department, University of California, Los Angeles, Los Angeles, CA 90095, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2017</Year>\n                <Month>07</Month>\n                <Day>14</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>Germany</Country>\n            <MedlineTA>Electroanalysis</MedlineTA>\n            <NlmUniqueID>8908702</NlmUniqueID>\n            <ISSNLinking>1040-0397</ISSNLinking>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Biomaterials. 1999 Dec;20(23-24):2363-76</RefSource>\n                <PMID Version=\"1\">10614942</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Biosens Bioelectron. 2014 Oct 15;60:271-6</RefSource>\n                <PMID Version=\"1\">24820862</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                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RefType=\"Cites\">\n                <RefSource>Sensors (Basel). 2010;10 (5):4855-86</RefSource>\n                <PMID Version=\"1\">22399911</PMID>\n            </CommentsCorrections>\n        </CommentsCorrectionsList>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Electroenzymatic biosensor</Keyword>\n            <Keyword MajorTopicYN=\"N\">Enzyme deposition</Keyword>\n            <Keyword MajorTopicYN=\"N\">Glucose biosensor</Keyword>\n            <Keyword MajorTopicYN=\"N\">Microcontact printing</Keyword>\n            <Keyword MajorTopicYN=\"N\">Polydimethylsiloxane stamping</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"pmc-release\">\n                <Year>2018</Year>\n                <Month>10</Month>\n                <Day>01</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>10</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29628750</ArticleId>\n            <ArticleId IdType=\"doi\">10.1002/elan.201700302</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5881579</ArticleId>\n            <ArticleId IdType=\"mid\">NIHMS949576</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"In-Data-Review\" Owner=\"NLM\">\n        <PMID Version=\"1\">29627040</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>08</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Electronic\">1878-5883</ISSN>\n                <JournalIssue CitedMedium=\"Internet\">\n                    <Volume>388</Volume>\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>May</Month>\n                        <Day>15</Day>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Journal of the neurological sciences</Title>\n                <ISOAbbreviation>J. Neurol. Sci.</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Insulin resistance and cognitive test performance in elderly adults: National health and nutrition examination survey (NHANES).</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>97-102</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"pii\" ValidYN=\"Y\">S0022-510X(17)34464-7</ELocationID>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1016/j.jns.2017.11.031</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"OBJECTIVES\" NlmCategory=\"OBJECTIVE\">To examine the relationship between homeostatic model of insulin resistance (HOMA-IR) and cognitive test performance among population≥60years in a national database.</AbstractText>\n                <AbstractText Label=\"HYPOTHESIS\" NlmCategory=\"OBJECTIVE\">Higher insulin resistance is associated with lower cognitive test performance score in the population≥60years.</AbstractText>\n                <AbstractText Label=\"PARTICIPANTS\" NlmCategory=\"METHODS\">We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 1999-2000 and 2001-2002.</AbstractText>\n                <AbstractText Label=\"MEASUREMENTS\" NlmCategory=\"METHODS\">Cognitive test performance was measured by the Digit Symbol Substitution (DSS) exercise score. The main independent variable was the homeostasis model assessment of insulin resistance (HOMA-IR). We used bivariate analysis and generalized linear model adjusting for age, gender, race, education, body mass index, and systolic and diastolic blood pressures; total cholesterol, low density lipoprotein (LDL), high density lipoprotein (HDL) and triglyceride levels; and physical activity, diabetes mellitus, stroke, and congestive heart failure. STATA 14 was used to analyze the data taking into consideration the design, strata and weight.</AbstractText>\n                <AbstractText Label=\"RESULTS\" NlmCategory=\"RESULTS\">Of the 1028 participants, 44% were male and 85% were white. The mean age was 70.0±0.28 (SE) years. Their average HOMA-IR was 3.6±0.14 and they had a mean of 49.2±0.8 correct DSS score in the cognitive test. Adjusting for the confounding variables, HOMA-IR was associated with decline in DSS score (B=-0.30, 95% confidence interval=-0.54 and -0.05, p=0.01). The model explained 44% of the variability of the DSS score (R<sup>2</sup>=0.44). Significant predictors of decline in DSS score were age, gender, race, and education (p=0.01).</AbstractText>\n                <AbstractText Label=\"CONCLUSION\" NlmCategory=\"CONCLUSIONS\">Insulin resistance as measured by HOMA-IR was independently associated with lower cognitive test performance score among elderly participants aged ≥60years. Longitudinal studies are needed to test the mechanism and the causal relationship.</AbstractText>\n                <CopyrightInformation>Copyright © 2017. Published by Elsevier B.V.</CopyrightInformation>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Sherzai</LastName>\n                    <ForeName>Ayesha Z</ForeName>\n                    <Initials>AZ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Loma Linda University Health, Department of Neurology, CA, United States. Electronic address: asherzai@llu.edu.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Shaheen</LastName>\n                    <ForeName>Magda</ForeName>\n                    <Initials>M</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>College of Medicine, Charles R. Drew University of Medicine and Science, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Yu</LastName>\n                    <ForeName>Jeffrey J</ForeName>\n                    <Initials>JJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>School of Medicine, University of California, Irvine, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Talbot</LastName>\n                    <ForeName>Konrad</ForeName>\n                    <Initials>K</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Sherzai</LastName>\n                    <ForeName>Dean</ForeName>\n                    <Initials>D</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Loma Linda University Health, Department of Neurology, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2017</Year>\n                <Month>11</Month>\n                <Day>23</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>Netherlands</Country>\n            <MedlineTA>J Neurol Sci</MedlineTA>\n            <NlmUniqueID>0375403</NlmUniqueID>\n            <ISSNLinking>0022-510X</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Cognitive test performance</Keyword>\n            <Keyword MajorTopicYN=\"N\">Diabetes</Keyword>\n            <Keyword MajorTopicYN=\"N\">Elderly</Keyword>\n            <Keyword MajorTopicYN=\"N\">Insulin resistance</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"received\">\n                <Year>2016</Year>\n                <Month>10</Month>\n                <Day>12</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"revised\">\n                <Year>2017</Year>\n                <Month>11</Month>\n                <Day>15</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"accepted\">\n                <Year>2017</Year>\n                <Month>11</Month>\n                <Day>22</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>9</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>9</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>9</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29627040</ArticleId>\n            <ArticleId IdType=\"pii\">S0022-510X(17)34464-7</ArticleId>\n            <ArticleId IdType=\"doi\">10.1016/j.jns.2017.11.031</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29623300</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>09</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Print\">2452-3100</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>8</Volume>\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>Apr</Month>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Current opinion in systems biology</Title>\n                <ISOAbbreviation>Curr Opin Syst Biol</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Identifying Noise Sources governing cell-to-cell variability.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>39-45</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1016/j.coisb.2017.11.013</ELocationID>\n            <Abstract>\n                <AbstractText>Phenotypic differences often occur even in clonal cell populations. Many potential sources of such variation have been identified, from biophysical rate variance intrinsic to all chemical processes to asymmetric division of molecular components extrinsic to any particular signaling pathway. Identifying the sources of phenotypic variation and quantifying their contributions to cell fate variation is not possible without accurate single cell data. By combining such data with mathematical models of potential noise sources it is possible to characterize the impact of varying levels of each noise source and identify which sources of variation best explain the experimental observations. The mathematical framework of information theory provides metrics of the impact of noise on the reliability of a cell to sense its environment. While the presence of noise in a single cellular system reduces the reliability of signal transduction its impact on a population of varied single cells remains unclear.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Mitchell</LastName>\n                    <ForeName>Simon</ForeName>\n                    <Initials>S</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Institute for Quantitative and Computational Biosciences and Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Hoffmann</LastName>\n                    <ForeName>Alexander</ForeName>\n                    <Initials>A</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Institute for Quantitative and Computational Biosciences and Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <GrantList CompleteYN=\"Y\">\n                <Grant>\n                    <GrantID>R01 AI127864</GrantID>\n                    <Acronym>AI</Acronym>\n                    <Agency>NIAID NIH HHS</Agency>\n                    <Country>United States</Country>\n                </Grant>\n                <Grant>\n                    <GrantID>R01 AI132731</GrantID>\n                    <Acronym>AI</Acronym>\n                    <Agency>NIAID NIH HHS</Agency>\n                    <Country>United States</Country>\n                </Grant>\n                <Grant>\n                    <GrantID>R01 AI132835</GrantID>\n                    <Acronym>AI</Acronym>\n                    <Agency>NIAID NIH HHS</Agency>\n                    <Country>United States</Country>\n                </Grant>\n                <Grant>\n                    <GrantID>R01 GM117134</GrantID>\n                    <Acronym>GM</Acronym>\n                    <Agency>NIGMS NIH HHS</Agency>\n                    <Country>United States</Country>\n                </Grant>\n            </GrantList>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2017</Year>\n                <Month>12</Month>\n                <Day>06</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>England</Country>\n            <MedlineTA>Curr Opin Syst Biol</MedlineTA>\n            <NlmUniqueID>101698476</NlmUniqueID>\n            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<Day>7</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>7</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>7</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29623300</ArticleId>\n            <ArticleId IdType=\"doi\">10.1016/j.coisb.2017.11.013</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5879788</ArticleId>\n            <ArticleId IdType=\"mid\">NIHMS925980</ArticleId>\n        </ArticleIdList>\n        <?nihms?>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"In-Data-Review\" Owner=\"NLM\">\n        <PMID Version=\"1\">29621947</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>06</Day>\n        </DateRevised>\n        <Article PubModel=\"Print\">\n            <Journal>\n                <ISSN IssnType=\"Electronic\">2331-2165</ISSN>\n                <JournalIssue CitedMedium=\"Internet\">\n                    <Volume>22</Volume>\n                    <PubDate>\n                        <MedlineDate>2018 Jan-Dec</MedlineDate>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Trends in hearing</Title>\n                <ISOAbbreviation>Trends Hear</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Comparison of Two Music Training Approaches on Music and Speech Perception in Cochlear Implant Users.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>2331216518765379</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1177/2331216518765379</ELocationID>\n            <Abstract>\n                <AbstractText>In normal-hearing (NH) adults, long-term music training may benefit music and speech perception, even when listening to spectro-temporally degraded signals as experienced by cochlear implant (CI) users. In this study, we compared two different music training approaches in CI users and their effects on speech and music perception, as it remains unclear which approach to music training might be best. The approaches differed in terms of music exercises and social interaction. For the pitch/timbre group, melodic contour identification (MCI) training was performed using computer software. For the music therapy group, training involved face-to-face group exercises (rhythm perception, musical speech perception, music perception, singing, vocal emotion identification, and music improvisation). For the control group, training involved group nonmusic activities (e.g., writing, cooking, and woodworking). Training consisted of weekly 2-hr sessions over a 6-week period. Speech intelligibility in quiet and noise, vocal emotion identification, MCI, and quality of life (QoL) were measured before and after training. The different training approaches appeared to offer different benefits for music and speech perception. Training effects were observed within-domain (better MCI performance for the pitch/timbre group), with little cross-domain transfer of music training (emotion identification significantly improved for the music therapy group). While training had no significant effect on QoL, the music therapy group reported better perceptual skills across training sessions. These results suggest that more extensive and intensive training approaches that combine pitch training with the social aspects of music therapy may further benefit CI users.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Fuller</LastName>\n                    <ForeName>Christina D</ForeName>\n                    <Initials>CD</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1 Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>2 Graduate School of Medical Sciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>3 Research School of Behavioral and Cognitive Neurosciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Galvin</LastName>\n                    <ForeName>John J</ForeName>\n                    <Initials>JJ</Initials>\n                    <Suffix>3rd</Suffix>\n                    <AffiliationInfo>\n                        <Affiliation>1 Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>2 Graduate School of Medical Sciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>3 Research School of Behavioral and Cognitive Neurosciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>4 House Ear Institute, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>5 Department of Head and Neck Surgery, David Geffen School of Medicine, UCLA, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Maat</LastName>\n                    <ForeName>Bert</ForeName>\n                    <Initials>B</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1 Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>2 Graduate School of Medical Sciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>3 Research School of Behavioral and Cognitive Neurosciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Başkent</LastName>\n                    <ForeName>Deniz</ForeName>\n                    <Initials>D</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1 Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>2 Graduate School of Medical Sciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>3 Research School of Behavioral and Cognitive Neurosciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Free</LastName>\n                    <ForeName>Rolien H</ForeName>\n                    <Initials>RH</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1 Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>2 Graduate School of Medical Sciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>3 Research School of Behavioral and Cognitive Neurosciences, University of Groningen, the Netherlands.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>Trends Hear</MedlineTA>\n            <NlmUniqueID>101635698</NlmUniqueID>\n            <ISSNLinking>2331-2165</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">auditory perception</Keyword>\n            <Keyword MajorTopicYN=\"N\">cochlear implants</Keyword>\n            <Keyword MajorTopicYN=\"N\">music therapy</Keyword>\n            <Keyword MajorTopicYN=\"N\">music training</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>7</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>7</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>7</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29621947</ArticleId>\n            <ArticleId IdType=\"doi\">10.1177/2331216518765379</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"In-Data-Review\" Owner=\"NLM\">\n        <PMID Version=\"1\">29619962</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>05</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Electronic\">1879-355X</ISSN>\n                <JournalIssue CitedMedium=\"Internet\">\n                    <Volume>101</Volume>\n                    <Issue>1</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>May</Month>\n                        <Day>01</Day>\n                    </PubDate>\n                </JournalIssue>\n                <Title>International journal of radiation oncology, biology, physics</Title>\n                <ISOAbbreviation>Int. J. Radiat. Oncol. Biol. Phys.</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>A Prospective 4π Radiation Therapy Clinical Study in Recurrent High-Grade Glioma Patients.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>144-151</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"pii\" ValidYN=\"Y\">S0360-3016(18)30114-7</ELocationID>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1016/j.ijrobp.2018.01.048</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"PURPOSE\" NlmCategory=\"OBJECTIVE\">To evaluate the feasibility, safety, dosimetric benefits, delivery efficiency, and patient comfort in the clinical implementation of 4π radiation therapy.</AbstractText>\n                <AbstractText Label=\"METHODS AND MATERIALS\" NlmCategory=\"METHODS\">Eleven patients with recurrent high-grade glioma were recruited for the trial. 4π plans integrating beam orientation and fluence-map optimization were created using an in-house column-generation algorithm. The collision-free beam solution space throughout the 4π steradian was determined using a computer-aided-design model of the Varian TrueBeam system and a human subject. Twenty beams were optimized for each case and imported into Eclipse for intensity modulated radiation therapy planning. Beam orientations with neighboring couch kicks were merged for increased delivery efficiency, generating plans with an average of 16 beam orientations. Volumetric modulated arc therapy (VMAT) plans with 3-4 arcs were also generated for each case, and the plan achieving superior dosimetric quality was selected for treatment. Patient comfort was surveyed after every fraction. Multiple 2-dimensional X-ray images were obtained to measure intrafractional motion.</AbstractText>\n                <AbstractText Label=\"RESULTS\" NlmCategory=\"RESULTS\">Of 11 patients, 9 were treated with 4π. Mean and maximum organ at risk doses were equal or significantly lower (P &lt; .05) with 4π than with VMAT. Particularly substantial dose reduction of 2.92 Gy in the average accumulated brainstem maximum dose enabled treatments that would otherwise not satisfy safe dose constraints with VMAT. One patient was not treated because neither plan met the dosimetric criteria. The other was treated with VMAT owing to comparable dosimetry resulting from a planning target volume located in a separate co-plane superior to organs at risk. Treatments were well tolerated, with an average patient comfort score of 8.6/10. Intrafractional motion was &lt;1.5 mm for all delivered fractions, and the average delivery time was 34.1 minutes.</AbstractText>\n                <AbstractText Label=\"CONCLUSIONS\" NlmCategory=\"CONCLUSIONS\">The feasibility, safety, dosimetric benefits, delivery efficiency, and patient comfort of 4π radiation therapy have been clinically demonstrated with a prospective clinical trial. The results elucidate the potential and challenges of wider clinical implementations.</AbstractText>\n                <CopyrightInformation>Copyright © 2018 Elsevier Inc. All rights reserved.</CopyrightInformation>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Yu</LastName>\n                    <ForeName>Victoria Y</ForeName>\n                    <Initials>VY</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Landers</LastName>\n                    <ForeName>Angelia</ForeName>\n                    <Initials>A</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Woods</LastName>\n                    <ForeName>Kaley</ForeName>\n                    <Initials>K</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Nguyen</LastName>\n                    <ForeName>Dan</ForeName>\n                    <Initials>D</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Cao</LastName>\n                    <ForeName>Minsong</ForeName>\n                    <Initials>M</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Du</LastName>\n                    <ForeName>Dongsu</ForeName>\n                    <Initials>D</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Chin</LastName>\n                    <ForeName>Robert K</ForeName>\n                    <Initials>RK</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Sheng</LastName>\n                    <ForeName>Ke</ForeName>\n                    <Initials>K</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Kaprealian</LastName>\n                    <ForeName>Tania B</ForeName>\n                    <Initials>TB</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California. Electronic address: tkaprealian@mednet.ucla.edu.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>31</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>Int J Radiat Oncol Biol Phys</MedlineTA>\n            <NlmUniqueID>7603616</NlmUniqueID>\n            <ISSNLinking>0360-3016</ISSNLinking>\n        </MedlineJournalInfo>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"received\">\n                <Year>2017</Year>\n                <Month>06</Month>\n                <Day>23</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"revised\">\n                <Year>2017</Year>\n                <Month>12</Month>\n                <Day>27</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"accepted\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>12</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>ppublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29619962</ArticleId>\n            <ArticleId IdType=\"pii\">S0360-3016(18)30114-7</ArticleId>\n            <ArticleId IdType=\"doi\">10.1016/j.ijrobp.2018.01.048</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29618992</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>08</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic-eCollection\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1664-0640</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>9</Volume>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Frontiers in psychiatry</Title>\n                <ISOAbbreviation>Front Psychiatry</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Fronto-Temporal Connectivity Predicts ECT Outcome in Major Depression.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>92</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.3389/fpsyt.2018.00092</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"Background\" NlmCategory=\"UNASSIGNED\">Electroconvulsive therapy (ECT) is arguably the most effective available treatment for severe depression. Recent studies have used MRI data to predict clinical outcome to ECT and other antidepressant therapies. One challenge facing such studies is selecting from among the many available metrics, which characterize complementary and sometimes non-overlapping aspects of brain function and connectomics. Here, we assessed the ability of aggregated, functional MRI metrics of basal brain activity and connectivity to predict antidepressant response to ECT using machine learning.</AbstractText>\n                <AbstractText Label=\"Methods\" NlmCategory=\"UNASSIGNED\">A radial support vector machine was trained using arterial spin labeling (ASL) and blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) metrics from n = 46 (26 female, mean age 42) depressed patients prior to ECT (majority right-unilateral stimulation). Image preprocessing was applied using standard procedures, and metrics included cerebral blood flow in ASL, and regional homogeneity, fractional amplitude of low-frequency modulations, and graph theory metrics (strength, local efficiency, and clustering) in BOLD data. A 5-repeated 5-fold cross-validation procedure with nested feature-selection validated model performance. Linear regressions were applied post hoc to aid interpretation of discriminative features.</AbstractText>\n                <AbstractText Label=\"Results\" NlmCategory=\"UNASSIGNED\">The range of balanced accuracy in models performing statistically above chance was 58-68%. Here, prediction of non-responders was slightly higher than for responders (maximum performance 74 and 64%, respectively). Several features were consistently selected across cross-validation folds, mostly within frontal and temporal regions. Among these were connectivity strength among: a fronto-parietal network [including left dorsolateral prefrontal cortex (DLPFC)], motor and temporal networks (near ECT electrodes), and/or subgenual anterior cingulate cortex (sgACC).</AbstractText>\n                <AbstractText Label=\"Conclusion\" NlmCategory=\"UNASSIGNED\">Our data indicate that pattern classification of multimodal fMRI metrics can successfully predict ECT outcome, particularly for individuals who will not respond to treatment. Notably, connectivity with networks highly relevant to ECT and depression were consistently selected as important predictive features. These included the left DLPFC and the sgACC, which are both targets of other neurostimulation therapies for depression, as well as connectivity between motor and right temporal cortices near electrode sites. Future studies that probe additional functional and structural MRI metrics and other patient characteristics may further improve the predictive power of these and similar models.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Leaver</LastName>\n                    <ForeName>Amber M</ForeName>\n                    <Initials>AM</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Wade</LastName>\n                    <ForeName>Benjamin</ForeName>\n                    <Initials>B</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Vasavada</LastName>\n                    <ForeName>Megha</ForeName>\n                    <Initials>M</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Hellemann</LastName>\n                    <ForeName>Gerhard</ForeName>\n                    <Initials>G</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Joshi</LastName>\n                    <ForeName>Shantanu H</ForeName>\n                    <Initials>SH</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Espinoza</LastName>\n                    <ForeName>Randall</ForeName>\n                    <Initials>R</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Narr</LastName>\n                    <ForeName>Katherine L</ForeName>\n                    <Initials>KL</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>21</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>Switzerland</Country>\n            <MedlineTA>Front Psychiatry</MedlineTA>\n            <NlmUniqueID>101545006</NlmUniqueID>\n            <ISSNLinking>1664-0640</ISSNLinking>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Neuropsychopharmacology. 2018 Apr;43(5):1078-1087</RefSource>\n                <PMID Version=\"1\">28758644</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Biol Psychiatry. 2007 Jan 15;61(2):198-209</RefSource>\n                <PMID Version=\"1\">17027931</PMID>\n 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Psychiatry Cogn Neurosci Neuroimaging. 2016 Jan;1(1):77-86</RefSource>\n                <PMID Version=\"1\">26878070</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Acta Psychiatr Scand Suppl. 1970;215:1-98</RefSource>\n                <PMID Version=\"1\">5271208</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Behav Brain Res. 2009 Aug 12;201(2):239-43</RefSource>\n                <PMID Version=\"1\">19428640</PMID>\n            </CommentsCorrections>\n        </CommentsCorrectionsList>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">connectomics</Keyword>\n            <Keyword MajorTopicYN=\"N\">electroconvulsive therapy</Keyword>\n            <Keyword MajorTopicYN=\"N\">functional magnetic resonance imaging</Keyword>\n            <Keyword MajorTopicYN=\"N\">major depressive disorder</Keyword>\n            <Keyword MajorTopicYN=\"N\">pattern classification</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"received\">\n                <Year>2017</Year>\n                <Month>11</Month>\n                <Day>03</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"accepted\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>06</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29618992</ArticleId>\n            <ArticleId IdType=\"doi\">10.3389/fpsyt.2018.00092</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5871748</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29618935</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>08</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic-eCollection\">\n            <Journal>\n                <ISSN IssnType=\"Print\">1178-7007</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>11</Volume>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Diabetes, metabolic syndrome and obesity : targets and therapy</Title>\n                <ISOAbbreviation>Diabetes Metab Syndr Obes</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Metabolic profiling of follistatin overexpression: a novel therapeutic strategy for metabolic diseases.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>65-84</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.2147/DMSO.S159315</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"Background\" NlmCategory=\"UNASSIGNED\">Follistatin (Fst) promotes brown adipocyte characteristics in adipose tissues.</AbstractText>\n                <AbstractText Label=\"Methods\" NlmCategory=\"UNASSIGNED\">Abdominal fat volume (CT scan), glucose clearance (GTT test), and metabolomics analysis (mass spectrometry) of adipose tissues from Fst transgenic (Fst-Tg) and wild type (WT) control mice were analyzed. Oxygen consumption (Seahorse Analyzer) and lipidomics (gas chromatography) was analyzed in 3T3-L1 cells.</AbstractText>\n                <AbstractText Label=\"Results\" NlmCategory=\"UNASSIGNED\">Fst-Tg mice show significant decrease in abdominal fat content, increased glucose clearance, improved plasma lipid profiles and significant changes in several conventional metabolites compared to the WT mice. Furthermore, overexpression of Fst in 3T3-L1 cells resulted in up regulation of key brown/beige markers and changes in lipidomics profiles.</AbstractText>\n                <AbstractText Label=\"Conclusion\" NlmCategory=\"UNASSIGNED\">Fst modulates key factors involved in promoting metabolic syndrome and could be used for therapeutic intervention.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Singh</LastName>\n                    <ForeName>Rajan</ForeName>\n                    <Initials>R</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Obstetrics and Gynecology, UCLA School of Medicine, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Endocrinology and Metabolism, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Pervin</LastName>\n                    <ForeName>Shehla</ForeName>\n                    <Initials>S</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Obstetrics and Gynecology, UCLA School of Medicine, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Division of Endocrinology and Metabolism, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Lee</LastName>\n                    <ForeName>Se-Jin</ForeName>\n                    <Initials>SJ</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, CT, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Kuo</LastName>\n                    <ForeName>Alan</ForeName>\n                    <Initials>A</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Biology, California State University Dominguez Hills, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Grijalva</LastName>\n                    <ForeName>Victor</ForeName>\n                    <Initials>V</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Molecular and Medical Pharmacology, UCLA School of Medicine, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>David</LastName>\n                    <ForeName>John</ForeName>\n                    <Initials>J</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Comparative Medicine, Pfizer Inc, San Diego, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Vergnes</LastName>\n                    <ForeName>Laurent</ForeName>\n                    <Initials>L</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Human Genetics, UCLA School of Medicine, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Reddy</LastName>\n                    <ForeName>Srinivasa T</ForeName>\n                    <Initials>ST</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Obstetrics and Gynecology, UCLA School of Medicine, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Department of Molecular and Medical Pharmacology, UCLA School of Medicine, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>03</Month>\n                <Day>26</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>New Zealand</Country>\n            <MedlineTA>Diabetes Metab Syndr Obes</MedlineTA>\n            <NlmUniqueID>101515585</NlmUniqueID>\n            <ISSNLinking>1178-7007</ISSNLinking>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Cell Metab. 2015 Aug 4;22(2):266-278</RefSource>\n                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<CommentsCorrections RefType=\"Cites\">\n                <RefSource>Diabetes. 2012 Jun;61(6):1372-80</RefSource>\n                <PMID Version=\"1\">22511205</PMID>\n            </CommentsCorrections>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Biomed Res Int. 2015;2015:418681</RefSource>\n                <PMID Version=\"1\">25821801</PMID>\n            </CommentsCorrections>\n        </CommentsCorrectionsList>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">AdipoQ</Keyword>\n            <Keyword MajorTopicYN=\"N\">adipocyte</Keyword>\n            <Keyword MajorTopicYN=\"N\">fibroblast growth factor 21</Keyword>\n            <Keyword MajorTopicYN=\"N\">follistatin</Keyword>\n            <Keyword MajorTopicYN=\"N\">transgenic</Keyword>\n        </KeywordList>\n        <CoiStatement>Disclosure The authors report no conflicts of interest in this work.</CoiStatement>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29618935</ArticleId>\n            <ArticleId IdType=\"doi\">10.2147/DMSO.S159315</ArticleId>\n            <ArticleId IdType=\"pii\">dmso-11-065</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5875402</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"PubMed-not-MEDLINE\" Owner=\"NLM\">\n        <PMID Version=\"1\">29618905</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>08</Day>\n        </DateRevised>\n        <Article PubModel=\"Electronic-eCollection\">\n            <Journal>\n                <ISSN IssnType=\"Print\">0973-2063</ISSN>\n                <JournalIssue CitedMedium=\"Print\">\n                    <Volume>14</Volume>\n                    <Issue>2</Issue>\n                    <PubDate>\n                        <Year>2018</Year>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Bioinformation</Title>\n                <ISOAbbreviation>Bioinformation</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>86-92</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.6026/97320630014086</ELocationID>\n            <Abstract>\n                <AbstractText>Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions of practice-based guidelines, which emerge from research synthesis protocols in comparative effectiveness research that are disseminated in systematic reviews. Systematic reviews produce qualitative and quantitative consensi of the best available evidence. The quantitative consensus is derived from meta-analysis protocols that are often achieved by probabilistic approach Bayesian statistical models.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Chiappelli</LastName>\n                    <ForeName>Francesco</ForeName>\n                    <Initials>F</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Laboratory of Human Psychoneuroendocrine-Osteoimmunology; School of Dentistry, UCLA Center for the Health Sciences, Los Angeles, CA 90095-1668.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Evidence-Based Decision Practice-Based Research Network, DGSO, Los Angeles, CA 91403.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Department of the Health Sciences, CSUN, Northridge, CA 91330.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Dental Group of Sherman Oaks, Los Angeles CA 91403.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Kasar</LastName>\n                    <ForeName>Vandan R</ForeName>\n                    <Initials>VR</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>School of Dentistry, UCSF Center for the Health Sciences, San Francisco, CA 94143.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Balenton</LastName>\n                    <ForeName>Nicole</ForeName>\n                    <Initials>N</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Laboratory of Human Psychoneuroendocrine-Osteoimmunology; School of Dentistry, UCLA Center for the Health Sciences, Los Angeles, CA 90095-1668.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Department of the Health Sciences, CSUN, Northridge, CA 91330.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Khakshooy</LastName>\n                    <ForeName>Allen</ForeName>\n                    <Initials>A</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>Laboratory of Human Psychoneuroendocrine-Osteoimmunology; School of Dentistry, UCLA Center for the Health Sciences, Los Angeles, CA 90095-1668.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel 3109601.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>02</Month>\n                <Day>28</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>Singapore</Country>\n            <MedlineTA>Bioinformation</MedlineTA>\n            <NlmUniqueID>101258255</NlmUniqueID>\n            <ISSNLinking>0973-2063</ISSNLinking>\n        </MedlineJournalInfo>\n        <CommentsCorrectionsList>\n            <CommentsCorrections RefType=\"Cites\">\n                <RefSource>Stat Methods Med Res. 2012 Dec;21(6):657-9</RefSource>\n           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</CommentsCorrections>\n        </CommentsCorrectionsList>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">Bayesian statistics</Keyword>\n            <Keyword MajorTopicYN=\"N\">PICOTS question</Keyword>\n            <Keyword MajorTopicYN=\"N\">Translational science</Keyword>\n            <Keyword MajorTopicYN=\"N\">additive meta-analysis</Keyword>\n            <Keyword MajorTopicYN=\"N\">complex systematic reviews</Keyword>\n            <Keyword MajorTopicYN=\"N\">meta-analysis</Keyword>\n            <Keyword MajorTopicYN=\"N\">research synthesis</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"received\">\n                <Year>2018</Year>\n                <Month>02</Month>\n                <Day>16</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"revised\">\n                <Year>2018</Year>\n                <Month>02</Month>\n                <Day>20</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"accepted\">\n                <Year>2018</Year>\n                <Month>02</Month>\n                <Day>20</Day>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>6</Day>\n                <Hour>6</Hour>\n                <Minute>1</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>epublish</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29618905</ArticleId>\n            <ArticleId IdType=\"doi\">10.6026/97320630014086</ArticleId>\n            <ArticleId IdType=\"pii\">97320630014086</ArticleId>\n            <ArticleId IdType=\"pmc\">PMC5879943</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n\n<PubmedArticle>\n    <MedlineCitation Status=\"Publisher\" Owner=\"NLM\">\n        <PMID Version=\"1\">29614893</PMID>\n        <DateRevised>\n            <Year>2018</Year>\n            <Month>04</Month>\n            <Day>04</Day>\n        </DateRevised>\n        <Article PubModel=\"Print-Electronic\">\n            <Journal>\n                <ISSN IssnType=\"Electronic\">1525-1489</ISSN>\n                <JournalIssue CitedMedium=\"Internet\">\n                    <PubDate>\n                        <Year>2018</Year>\n                        <Month>Jan</Month>\n                        <Day>01</Day>\n                    </PubDate>\n                </JournalIssue>\n                <Title>Journal of intensive care medicine</Title>\n                <ISOAbbreviation>J Intensive Care Med</ISOAbbreviation>\n            </Journal>\n            <ArticleTitle>Cerebral Artery Gas Embolism Following Navigational Bronchoscopy.</ArticleTitle>\n            <Pagination>\n                <MedlinePgn>885066618766838</MedlinePgn>\n            </Pagination>\n            <ELocationID EIdType=\"doi\" ValidYN=\"Y\">10.1177/0885066618766838</ELocationID>\n            <Abstract>\n                <AbstractText Label=\"INTRODUCTION\" NlmCategory=\"BACKGROUND\">Cerebral artery gas embolism (CAGE) is a rare but serious adverse event with potentially devastating neurologic sequelae. Bronchoscopy is a frequently performed procedure but with only a few reported cases of CAGE.</AbstractText>\n                <AbstractText Label=\"METHODS\" NlmCategory=\"METHODS\">We report the first documented case of CAGE associated with electromagnetic navigational bronchoscopy.</AbstractText>\n                <AbstractText Label=\"RESULTS\" NlmCategory=\"RESULTS\">A 61-year-old man with a left lower lobe nodule underwent electromagnetic navigational bronchoscopy. The target lesion underwent transbronchial biopsy, brushing and an end-procedure lavage. Following the procedure, he developed seizures, evidence of hypoxic injury and cerebral edema, and air emboli were seen on computed tomography imaging. He then underwent treatment with hyperbaric oxygen with a full and complete neurologic recovery. Review of other cases reported in the literature suggests improved neurologic outcomes with hyperbaric oxygen treatment.</AbstractText>\n                <AbstractText Label=\"CONCLUSIONS\" NlmCategory=\"CONCLUSIONS\">Biopsy techniques performed during bronchoscopy and electromagnetic navigational bronchoscopy can result in CAGE. Comparison with other reported cases suggests improved neurologic outcomes in those treated with hyperbaric oxygen. Prompt recognition of this complication and timely treatment with hyperbaric oxygen are the cornerstones to recovery.</AbstractText>\n            </Abstract>\n            <AuthorList CompleteYN=\"Y\">\n                <Author ValidYN=\"Y\">\n                    <LastName>Fogelfeld</LastName>\n                    <ForeName>Keren</ForeName>\n                    <Initials>K</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>1 Pulmonary, Critical Care and Sleep Medicine, Olive-View Medical Center, Sylmar, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>2 David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Rana</LastName>\n                    <ForeName>Richie K</ForeName>\n                    <Initials>RK</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>2 David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>3 Pulmonary and Critical Care, Kaiser-Fontana Medical Center, Fontana, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n                <Author ValidYN=\"Y\">\n                    <LastName>Soo Hoo</LastName>\n                    <ForeName>Guy W</ForeName>\n                    <Initials>GW</Initials>\n                    <AffiliationInfo>\n                        <Affiliation>2 David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                    <AffiliationInfo>\n                        <Affiliation>4 Pulmonary, Critical Care and Sleep Section, West Los Angeles VA Healthcare Center, Los Angeles, CA, USA.</Affiliation>\n                    </AffiliationInfo>\n                </Author>\n            </AuthorList>\n            <Language>eng</Language>\n            <PublicationTypeList>\n                <PublicationType UI=\"D016428\">Journal Article</PublicationType>\n            </PublicationTypeList>\n            <ArticleDate DateType=\"Electronic\">\n                <Year>2018</Year>\n                <Month>01</Month>\n                <Day>01</Day>\n            </ArticleDate>\n        </Article>\n        <MedlineJournalInfo>\n            <Country>United States</Country>\n            <MedlineTA>J Intensive Care Med</MedlineTA>\n            <NlmUniqueID>8610344</NlmUniqueID>\n            <ISSNLinking>0885-0666</ISSNLinking>\n        </MedlineJournalInfo>\n        <KeywordList Owner=\"NOTNLM\">\n            <Keyword MajorTopicYN=\"N\">air embolism</Keyword>\n            <Keyword MajorTopicYN=\"N\">bronchoscopy</Keyword>\n            <Keyword MajorTopicYN=\"N\">cerebral artery gas embolism</Keyword>\n            <Keyword MajorTopicYN=\"N\">hyperbaric oxygen</Keyword>\n            <Keyword MajorTopicYN=\"N\">navigational bronchoscopy</Keyword>\n        </KeywordList>\n    </MedlineCitation>\n    <PubmedData>\n        <History>\n            <PubMedPubDate PubStatus=\"entrez\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>5</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"pubmed\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>5</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n            <PubMedPubDate PubStatus=\"medline\">\n                <Year>2018</Year>\n                <Month>4</Month>\n                <Day>5</Day>\n                <Hour>6</Hour>\n                <Minute>0</Minute>\n            </PubMedPubDate>\n        </History>\n        <PublicationStatus>aheadofprint</PublicationStatus>\n        <ArticleIdList>\n            <ArticleId IdType=\"pubmed\">29614893</ArticleId>\n            <ArticleId IdType=\"doi\">10.1177/0885066618766838</ArticleId>\n        </ArticleIdList>\n    </PubmedData>\n</PubmedArticle>\n\n</PubmedArticleSet>"