All Stories

  1. The “MS-ROM/IFAST” Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy
  2. Directional Relationship Between Vitamin D Status and Prediabetes: A New Approach from Artificial Neural Network in a Cohort of Workers with Overweight-Obesity
  3. Toe Walking Assessment in Autism Spectrum Disorder Subjects: A Systematic Review
  4. Pregnancy risk factors related to autism: an Italian case–control study in mothers of children with autism spectrum disorders (ASD), their siblings and of typically developing children
  5. Assessment of presentation patterns, clinical severity, and sensorial mechanism of tip-toe behavior in severe ASD subjects with intellectual disability: A cohort observational study
  6. Role of XPC, XPD, XRCC1, GSTP genetic polymorphisms and Barrett’s esophagus in a cohort of Italian subjects. A neural network analysis
  7. Artificial Adaptive Systems in Medicine New Theories and Models for New Applications
  8. Auto Contractive Maps, H Function and Maximally Regular Graph - Application
  9. IFAST: Implicit Function as Squashing Time for EEG Analysis - Application
  10. IFAST: Implicit Function as Squashing Time for EEG Analysis∗ - Theory
  11. The Topological Weighted Centroid and the Semantic of the Physical Space - Application