This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

Interactive Python modes are an easy way to learn new libraries. Scripting languages are easy to learn on their own because ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...