eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
BMJ Open Sport & Exercise Medicine

More time spent in moderate-to-vigorous physical activity and sleep is associated with a lower incidence of hip or knee osteoarthritis

Introduction Osteoarthritis is the second most prevalent musculoskeletal disorder and mostly affects hip and knee joints. Movement behaviours have been associated with the incidence of osteoarthritis.
Kalkine Media

How Does IonQ (NYSE:IONQ) Russell 1000 Entry Impact Shares Now?

Explore IonQ’s Russell 1000 inclusion, quantum security expansion, Clavis XG Multiplex launch, technology portfolio, sector ...
eLife

Deciphering interferon functions in avian influenza using receptor knockout models in the natural host

Interferon receptor knockout chickens uncover how type I and III interferons differentially shape avian antiviral immunity and influenza disease outcomes.
JD Supra

Why Many Legal AI Tools Fail to Deliver ROI (And How to Fix It)

Legal AI tools have moved from novelty to necessity. Firms have signed contracts, run pilots, and rolled out generative AI assistants with ...
The Business & Financial Times on MSN

Combating mobile money/digital fraud in Ghana: Strategies for securing digital payments

By Dr. Richmond Atuahene1.0 Introduction/ BackgroundGlobalization and digitization are two major trends that will shape the future of nations. Despite the many challenges associated with adapting to ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Fast FPGA Accelerator of Graph Cut Algorithm With Threshold Global Relabel and Inertial Push

Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...
IEEE

Degree-Based triangle classification algorithm for graph data

Abstract: Triangle classification is essential in graph analysis, such as for effectively detecting communities, evaluating clusters, and quantifying connection density. While traditional algorithms ...