diff --git a/nbs/25_pvalue/01-ccc_pvalue_dist-generate-gene_pairs.ipynb b/nbs/25_pvalue/01-ccc_pvalue_dist-generate-gene_pairs.ipynb
index fd8c0f91..3fcf8cb1 100644
--- a/nbs/25_pvalue/01-ccc_pvalue_dist-generate-gene_pairs.ipynb
+++ b/nbs/25_pvalue/01-ccc_pvalue_dist-generate-gene_pairs.ipynb
@@ -5,10 +5,10 @@
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@@ -22,10 +22,10 @@
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@@ -41,10 +41,10 @@
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@@ -59,16 +59,16 @@
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@@ -87,10 +87,10 @@
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@@ -105,16 +105,16 @@
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+     "iopub.execute_input": "2023-09-13T05:34:33.106077Z",
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@@ -130,16 +130,16 @@
    "id": "74f8f565-ed30-488f-966a-d153550931ed",
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@@ -148,7 +148,7 @@
     {
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+       "1"
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@@ -157,7 +157,7 @@
     {
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+       "20"
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@@ -165,10 +165,10 @@
     }
    ],
    "source": [
-    "N_JOBS = conf.GENERAL[\"N_JOBS\"] // 2\n",
+    "N_JOBS = 1\n",
     "display(N_JOBS)\n",
     "\n",
-    "PVALUE_N_JOBS = 2\n",
+    "PVALUE_N_JOBS = conf.GENERAL[\"N_JOBS\"]\n",
     "display(PVALUE_N_JOBS)"
    ]
   },
@@ -178,16 +178,16 @@
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@@ -203,10 +203,10 @@
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@@ -221,16 +221,16 @@
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@@ -247,16 +247,16 @@
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@@ -282,10 +282,10 @@
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@@ -300,16 +300,16 @@
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@@ -325,16 +325,16 @@
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@@ -360,10 +360,10 @@
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@@ -378,16 +378,16 @@
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@@ -404,16 +404,16 @@
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@@ -433,16 +433,16 @@
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@@ -458,16 +458,16 @@
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@@ -476,7 +476,7 @@
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@@ -494,16 +494,16 @@
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@@ -871,14 +871,14 @@
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diff --git a/nbs/25_pvalue/05-ccc_pvalue_dist-plot.ipynb b/nbs/25_pvalue/05-ccc_pvalue_dist-plot.ipynb
index 2edd785d..8992524b 100644
--- a/nbs/25_pvalue/05-ccc_pvalue_dist-plot.ipynb
+++ b/nbs/25_pvalue/05-ccc_pvalue_dist-plot.ipynb
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@@ -57,16 +57,16 @@
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@@ -86,10 +86,10 @@
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@@ -104,10 +104,10 @@
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     "tags": []
@@ -920,10 +920,10 @@
    "id": "c7234b90-393b-426b-9d5b-85f66d928fd2",
    "metadata": {
     "papermill": {
-     "duration": 0.002484,
-     "end_time": "2023-09-11T18:02:45.683727",
+     "duration": 0.002435,
+     "end_time": "2023-09-13T05:49:40.062301",
      "exception": false,
-     "start_time": "2023-09-11T18:02:45.681243",
+     "start_time": "2023-09-13T05:49:40.059866",
      "status": "completed"
     },
     "tags": []
@@ -938,16 +938,16 @@
    "id": "cfdb23a4-34ce-44ca-b2c1-e728c482150b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-11T18:02:45.689308Z",
-     "iopub.status.busy": "2023-09-11T18:02:45.689225Z",
-     "iopub.status.idle": "2023-09-11T18:02:45.726704Z",
-     "shell.execute_reply": "2023-09-11T18:02:45.726366Z"
+     "iopub.execute_input": "2023-09-13T05:49:40.067593Z",
+     "iopub.status.busy": "2023-09-13T05:49:40.067533Z",
+     "iopub.status.idle": "2023-09-13T05:49:40.103567Z",
+     "shell.execute_reply": "2023-09-13T05:49:40.103431Z"
     },
     "papermill": {
-     "duration": 0.041027,
-     "end_time": "2023-09-11T18:02:45.727261",
+     "duration": 0.039442,
+     "end_time": "2023-09-13T05:49:40.104171",
      "exception": false,
-     "start_time": "2023-09-11T18:02:45.686234",
+     "start_time": "2023-09-13T05:49:40.064729",
      "status": "completed"
     },
     "tags": []
@@ -965,7 +965,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -989,16 +989,16 @@
    "id": "8c990e05-0837-4733-8656-7f89e6b11c76",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-11T18:02:45.732793Z",
-     "iopub.status.busy": "2023-09-11T18:02:45.732740Z",
-     "iopub.status.idle": "2023-09-11T18:02:45.784073Z",
-     "shell.execute_reply": "2023-09-11T18:02:45.783830Z"
+     "iopub.execute_input": "2023-09-13T05:49:40.109652Z",
+     "iopub.status.busy": "2023-09-13T05:49:40.109575Z",
+     "iopub.status.idle": "2023-09-13T05:49:40.160384Z",
+     "shell.execute_reply": "2023-09-13T05:49:40.160243Z"
     },
     "papermill": {
-     "duration": 0.055162,
-     "end_time": "2023-09-11T18:02:45.784955",
+     "duration": 0.054212,
+     "end_time": "2023-09-13T05:49:40.160938",
      "exception": false,
-     "start_time": "2023-09-11T18:02:45.729793",
+     "start_time": "2023-09-13T05:49:40.106726",
      "status": "completed"
     },
     "tags": []
@@ -1016,7 +1016,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1040,16 +1040,16 @@
    "id": "a4ed6062-0a60-4edf-b5eb-c7351c488442",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-11T18:02:45.791358Z",
-     "iopub.status.busy": "2023-09-11T18:02:45.791250Z",
-     "iopub.status.idle": "2023-09-11T18:02:45.793637Z",
-     "shell.execute_reply": "2023-09-11T18:02:45.793461Z"
+     "iopub.execute_input": "2023-09-13T05:49:40.166702Z",
+     "iopub.status.busy": "2023-09-13T05:49:40.166619Z",
+     "iopub.status.idle": "2023-09-13T05:49:40.168830Z",
+     "shell.execute_reply": "2023-09-13T05:49:40.168701Z"
     },
     "papermill": {
-     "duration": 0.006282,
-     "end_time": "2023-09-11T18:02:45.794440",
+     "duration": 0.005803,
+     "end_time": "2023-09-13T05:49:40.169435",
      "exception": false,
-     "start_time": "2023-09-11T18:02:45.788158",
+     "start_time": "2023-09-13T05:49:40.163632",
      "status": "completed"
     },
     "tags": []
@@ -1058,7 +1058,7 @@
     {
      "data": {
       "text/plain": [
-       "KstestResult(statistic=0.014110939565485037, pvalue=0.27522645284421277)"
+       "KstestResult(statistic=0.012914762005671099, pvalue=0.3777295267369595)"
       ]
      },
      "execution_count": 19,
@@ -1080,10 +1080,10 @@
    "id": "acaf1613-b186-4ff1-8d22-e996662c5bec",
    "metadata": {
     "papermill": {
-     "duration": 0.003983,
-     "end_time": "2023-09-11T18:02:45.803294",
+     "duration": 0.002615,
+     "end_time": "2023-09-13T05:49:40.174733",
      "exception": false,
-     "start_time": "2023-09-11T18:02:45.799311",
+     "start_time": "2023-09-13T05:49:40.172118",
      "status": "completed"
     },
     "tags": []
@@ -1116,14 +1116,14 @@
   },
   "papermill": {
    "default_parameters": {},
-   "duration": 1.819634,
-   "end_time": "2023-09-11T18:02:46.022847",
+   "duration": 1.828192,
+   "end_time": "2023-09-13T05:49:40.393187",
    "environment_variables": {},
    "exception": null,
    "input_path": "nbs/25_pvalue/05-ccc_pvalue_dist-plot.ipynb",
    "output_path": "nbs/25_pvalue/05-ccc_pvalue_dist-plot.run.ipynb",
    "parameters": {},
-   "start_time": "2023-09-11T18:02:44.203213",
+   "start_time": "2023-09-13T05:49:38.564995",
    "version": "2.3.4"
   }
  },
diff --git a/nbs/25_pvalue/py/01-ccc_pvalue_dist-generate-gene_pairs.py b/nbs/25_pvalue/py/01-ccc_pvalue_dist-generate-gene_pairs.py
index 5a2f9a25..a943c26c 100644
--- a/nbs/25_pvalue/py/01-ccc_pvalue_dist-generate-gene_pairs.py
+++ b/nbs/25_pvalue/py/01-ccc_pvalue_dist-generate-gene_pairs.py
@@ -38,10 +38,10 @@
 rs = np.random.RandomState(0)
 
 # %% tags=[]
-N_JOBS = conf.GENERAL["N_JOBS"] // 2
+N_JOBS = 1
 display(N_JOBS)
 
-PVALUE_N_JOBS = 2
+PVALUE_N_JOBS = conf.GENERAL["N_JOBS"]
 display(PVALUE_N_JOBS)
 
 # %% tags=[]