Radio World

A Class on Predicting FM Radio Signals

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
eLife

Reassessing prediction in the brain: Pre-onset neural encoding during natural listening does not reflect pre-activation

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...
Hosted on MSN

Level up your Python skills for certifications

Python is now central to many IT certifications, from penetration testing to advanced programming. Its broad capabilities make it valuable for cybersecurity, automation, and software development. With ...
Hosted on MSN

Master neural networks from scratch with Python

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...
BMJ

Critical components of neuromuscular training to reduce ACL injury risk in female athletes: meta-regression analysis

Objective The aim of this study was to determine key components in neuromuscular training that optimise ACL injury reduction in female athletes using meta-regression analyses. Design Systematic review ...
The Lancet

Prevalence estimates of sickle cell disease among children and adolescents in sub-Saharan Africa: a systematic review and modelling analysis

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores ...
Nature

Corpus Callosum Size in Relation to Motor Performance in 9- to 10-Year-Old Children with Neonatal Encephalopathy

Magnetic resonance imaging studies have contributed to recognize the patterns of cerebral injury related to neonatal encephalopathy (NE). We assessed whether a smaller corpus callosum (CC) explained ...