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Python physics: Create a linear regression function using VPython

Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results with VPython. Learn ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
C&EN

Reduced-Cost Second-Order Algebraic-Diagrammatic Construction Method for Core Excitations

Department of Physical Chemistry and Materials Science, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary ...
C&EN

Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
eLife

Retrosplenial cortex enables context-dependent goal-directed sensorimotor transformation

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
Analytics Insight

Best Interactive Python Courses: Your Weekend Learning Guide

Overview: Interactive Python courses emphasize hands-on coding instead of passive video learning.Short lessons with instant ...

The Winter Sneakers Editors Rely On

A favorite among Bazaar editors, these Loewe runners bring an elevated touch to your winter footwear wardrobe. The treaded ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
IEEE

Structure-Constrained Direction-Orthogonalizing Radial Basis Function Fitting of Scattered Data

Abstract: The improvement of parameter estimation accuracy depends on the increase of information. The purpose of structure-constrained scattered data fitting is to build a more accurate field by ...
GitHub

NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement

TL;DR NILUT uses neural representations for controllable photorealistic image enhancement. 🚀 Demo Tutorial and pretrained models available. Try it on colab! 3D lookup tables (3D LUTs) are a key ...
IEEE

Parametric Modeling of Microwave Filters by Combining Equivalent Circuit-Fitting-Based Transfer Functions and Neural Networks

Abstract: This study proposes an equivalent circuit-fitting-based neural transfer function modeling method (ECFB neuro-TF) to enhance the robustness, interpretability, and capability of handling ...