Shrinking governing boards, diversifying beyond alumni and business executives, and mandating free speech vetting in leadership hires could reverse the chill on free speech and equip trustees to ...
On the benchmark, Anthropic’s Claude Opus 4.5 Agent solved 37.4% whereas OpenAI’s GPT-5.1 Agent scored 43.1% on the full data ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...
A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly fortunetelling, but forecasting is a huge industry and service that much of our ...
Objective China has continued to improve tuberculosis (TB) control in the past decade; however, the sudden outbreak of ...
Background Many individuals initiating tuberculosis (TB) treatment do not successfully complete the regimen. Understanding variation in treatment outcomes could reveal opportunities to improve the ...
Background CFTR modulators have transformed cystic fibrosis (CF) treatment, but individual responses vary even among patients with identical CFTR genotypes. This underscores the need for predictive ...
Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...
An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...
David Gerbing, Ph.D, from Portland State University, explores professional, interactive data visualization for everyone ...
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; ...
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