Women's Health

Compound exercises are unrivalled for managing PCOS, if you do them properly – here's how

For the estimated one in 10 women who have polycystic ovary syndrome (PCOS), getting to grips with the habits and interventions that aid symptom management can be incredibly overwhelming – not least ...
Frontiers

Integrating BERT pre-training with graph common neighbours for predicting ceRNA interactions

Introduction: Predicting interactions between microRNAs (miRNAs) and competing endogenous RNAs (ceRNAs), including long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), is essential for ...
fitnessvolt

How Dorian Yates Used These 4 Isolation Exercises to Build His Biceps for the Mr. Olympia Stage

Though biceps weren’t his strongest body part, Dorian Yates never let that interfere with his six-year Olympia title reign. On August 8, 2025, via YouTube, Yates broke down how he built his biceps ...
fitnessvolt

Lee Priest Compares Free Weight and Cable Exercises, Talks Isolation Work for Weaker Muscles

Bodybuilding veteran Lee Priest always knew which tool to pick up to get the job done. On July 28, 2025, he detailed the differences between dumbbell, cable, and barbell work. He also discussed how to ...
Yahoo

The Best—and Worst—Exercises for Tricep Gains, According to a Trainer

The Best—and Worst—Exercises for Tricep Gains, According to a Trainer originally appeared on Men's Fitness. The triceps brachii is a three-headed muscle that plays a critical role in elbow extension, ...
verywellhealth

Compound vs. Isolation Exercises: Which One Builds Muscle Faster?

Compound exercises use multiple joints to perform a specific movement, while isolation exercises target a specific joint. Both types of exercises build muscle and burn calories; deciding which is best ...
Oak Ridge National Lab

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism...

Proceedings of The Eighth Annual Conference on Machine Learning and Systems Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their ...
IEEE

Distributed Training of Large Graph Neural Networks With Variable Communication Rates

Abstract: Training Graph Neural Networks (GNNs) on large graphs presents unique challenges due to the large memory and computing requirements. Distributed GNN training, where the graph is partitioned ...
EurekAlert!

USTC proposes a novel out-of-core large-scale graph neural network training system

On February 11, the team from the Data Darkness Lab (DDL) at the Medical Imaging Intelligence and Robotics Research Center of the University of Science and Technology of China (USTC) Suzhou Institut ...