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 ...
Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
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 ...
BMJ Global Health

Knowledge, attitudes and practices survey on antimicrobial resistance and stewardship among pharmacy healthcare workers in 28 African countries

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...
IEEE

GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression

Abstract: Complex construction environments can interfere with ground-based synthetic aperture radar (GB-SAR) deformation monitoring, potentially leading to missed or false alarms. Current research on ...
Devdiscourse

AI transforms grid reliability with transparent, data-driven analysis

The study also highlights that generator-related faults generally have broader and deeper effects than line faults due to ...
Joplin Globe

Genentech Data at ESMO 2025 Showcase Advances in Science and Cancer Care Across Multiple Tumor Types

Genentech, a member of the Roche Group (SIX: RO, ROG; OTCQX: RHHBY), announced today that it will present more than 30 abstracts across more than 10 cancer types at the European Society for Medical ...
IEEE

Robust Density Peaks Clustering for Manifold Data With Multiple Peaks

Abstract: Density peaks clustering (DPC) is an excellent clustering algorithm that does not need any prior knowledge. However, DPC still has the following shortcomings: (1) The Euclidean distance used ...
Frontiers

Correlation between systemic inflammatory response index and post-stroke epilepsy based on multiple logistic regression analysis

1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...