fix typo

example/dief-example.ipynb

@@ -590,7 +590,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Experiment 1 in [1] compares the performance of three variants of nlDE using conventional metrics from the query processing literature and **_dief@t_**.\n",
+    "Experiment 1 in [1] compares the performance of three variants of nLDE using conventional metrics from the query processing literature and **_dief@t_**.\n",
     "\n",
     "The method `diefpy.performance_of_approaches_with_dieft` computes the results reported in the previously mentioned experiment, i.e., **_dief@t_**, _time to first tuple_, _execution time_, _number of answers produced_, _throughput_, _inverse time to first tuple_, and _inverse execution time_."
    ]
@@ -1057,7 +1057,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Conclusion:** For `Q9.sparql`, the variants nLDE `Random` and `Not Adaptive` exhibit similar values of **_dief@k_** while producing the first 25% of the answers. However, when looking at **_dief@k_** at 100%, we can conclude that once nlDE `Random` starts producing answers, it produces all the answers at a faster rate. This can be observed in the answer trace plot, where the trace for nLDE `Random` (red line) has a higher slope over time than the other approaches."
+    "**Conclusion:** For `Q9.sparql`, the variants nLDE `Random` and `Not Adaptive` exhibit similar values of **_dief@k_** while producing the first 25% of the answers. However, when looking at **_dief@k_** at 100%, we can conclude that once nLDE `Random` starts producing answers, it produces all the answers at a faster rate. This can be observed in the answer trace plot, where the trace for nLDE `Random` (red line) has a higher slope over time than the other approaches."
    ]
   },
   {