How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
How-To Geek on MSN

5 Reasons Jupyter Notebooks With Python Are Better Than Excel for Data Analysis

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...
The New England Journal of Medicine

A Randomized Trial of Physical Therapy for Meniscal Tear and Knee Pain

Physical therapy is routinely recommended for knee pain attributed to a degenerative meniscal tear, but its efficacy has not ...

Kayshon Boutte, Zay Flowers headline Week 9’s Regression Files

Every week during the regular season I’ll highlight players whose usage and opportunity doesn’t quite match their production.
RMD Open

AI-based HRCT quantification reveals DLCO and TLC as key determinants of ILD severity in connective tissue diseases

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
IEEE

Prediction of Stock Prices based on Historical Data using Linear Regression Model through LSTM Algorithm

Abstract: In general, the stock market can be considered as a major component of the free market and one of the crucial pillars of the economy of any country. In a globalized world where the stock ...
eLife

Functional Muscle Networks as Biomarkers of Post-Stroke Motor Impairment and Therapeutic Responsiveness

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...
IEEE

JNMR: Joint Non-Linear Motion Regression for Video Frame Interpolation

Abstract: Video frame interpolation (VFI) aims to generate predictive frames by motion-warping from bidirectional references. Most examples of VFI utilize spatiotemporal semantic information to ...