David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Landy on Rahel Jaeggi, Progress and Regression. A critical theorist reformulates the concept of progress as social-reflexive problem-solving.

Millions of people taking semaglutide or tirzepatide for weight loss face a sharp question: what happens when they stop? Data ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...

Objective To investigate whether IgG to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens could reveal undetected SARS-CoV-2 exposure in a cohort of Malawian pregnant women ...

Abstract: Although a variety of models have been proposed for urban spatio-temporal forecasting, most existing forecasting models are developed manually for specific tasks. By investigating the ...