Fix end-of-file: trailing newlines on all notebooks and JSON

All 16 notebooks and 16 JSON result files now end with LF.
Prevents pre-commit end-of-file-fixer failures on CI.

Co-Authored-By: Arcane Sapience <protoscience@anulum.li>

Author: anulum

experiments/mpc_on_neurolib_results.json

@@ -15,5 +15,5 @@
   "sim_duration_ms": 30000,
   "K": 2.0,
   "mpc_horizon": 20,
-  "honest_assessment": "Trivial result: R~0.40 is already below degradation threshold (0.6), so MPC correctly predicts 'degradation continues' in 98% of windows. This is not genuine prediction of transitions — it is recognizing that the system is already degraded. A meaningful MPC test requires a system that crosses the threshold, not one that stays below it."
+  "honest_assessment": "Trivial result: R~0.40 is already below degradation threshold (0.6), so MPC correctly predicts 'degradation continues' in 98% of windows. This is not genuine prediction of transitions \u2014 it is recognizing that the system is already degraded. A meaningful MPC test requires a system that crosses the threshold, not one that stays below it."
 }

experiments/neurolib_fc_diagnostic_results.json

@@ -88,4 +88,4 @@
       "r": 0.0308
     }
   ]
-}
+}

experiments/seizure_detection_results.json

@@ -4,7 +4,7 @@
   "detected": 4,
   "sensitivity": 1.0,
   "mean_R_change_ictal": 0.0248,
-  "honest_assessment": "Trivially 100%: regime FSM fires ~9 transitions/min throughout the recording (532-542 total in 1h). Any 30s window contains ~4.5 transitions by chance. Pre-ictal detection is not discriminative — specificity is near 0%. R change during seizure (+0.025) is within noise (std=0.16). The FSM thresholds need tuning for EEG dynamics, or a different detection criterion is needed.",
+  "honest_assessment": "Trivially 100%: regime FSM fires ~9 transitions/min throughout the recording (532-542 total in 1h). Any 30s window contains ~4.5 transitions by chance. Pre-ictal detection is not discriminative \u2014 specificity is near 0%. R change during seizure (+0.025) is within noise (std=0.16). The FSM thresholds need tuning for EEG dynamics, or a different detection criterion is needed.",
   "seizures": [
     {
       "file": "chb01_03.edf",
@@ -75,4 +75,4 @@
       "earliest_detection_s": -26.0
     }
   ]
-}
+}

notebooks/12_autotune_pipeline.ipynb

@@ -182,4 +182,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

notebooks/13_ssgf_closure.ipynb

@@ -147,4 +147,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

notebooks/14_chimera_detection.ipynb

@@ -248,4 +248,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

notebooks/15_spectral_analysis.ipynb

@@ -251,4 +251,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

notebooks/16_sleep_staging.ipynb

@@ -270,4 +270,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}