From power grids to epidemics: Study shows how small patterns trigger systemic failures

Why do some systems collapse suddenly after what seems like a minor disturbance? A single transmission line failure can ...

When fluctuations shape biodiversity: A minimalist model explains why 'rarity' is so common

An ecosystem is not a still life. Even where everything looks stable—a woodland, a lake, the soil—the internal "bookkeeping" ...

Scalable human neuron networks reveal brain-like rhythms and how drugs reshape them

An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's ...
Tech Xplore

AI model reads social media language to flag mental health risks

Mental health problems are among the most pressing of public health challenges, affecting millions across different age ...

As US focuses on perfecting AI models, China wants to become better AI adopters

The Chinese AI company DeepSeek shocked markets last year with a high-quality, low-cost model. It's now become clearer that China and the U.S. are running two different AI races.
AlphaGalileo

Can we predict ionospheric turbulence? A Bayesian model offers a global warning system

Space weather can disrupt satellite navigation and communication systems by triggering rapid fluctuations in the ionosphere.

Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Options Corner: Palo Alto Networks' Non-Negotiable Business Presents A Compelling Discount

While Palo Alto Networks fell amid the rotation away from tech, the smart money is driving optimism in the options market for PANW stock.
BMJ

Comparative efficacy and safety of high-dose rifamycin regimens for tuberculosis treatment: a Bayesian network meta-analysis

Objectives High-dose rifamycin (HDR) regimens have demonstrated significant potential in tuberculosis (TB) treatment. This study aims to evaluate the efficacy and safety profile of different HDR ...
IEEE

Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control

Abstract: Proton Pump Inhibitors (PPIs) are the standard of care for gastric acid disorders but carry significant risks when administered chronically at high doses. Precise long-term control of ...
Frontiers

Directionality of causal association between adolescent mental health and attention deficit: an empirical analysis using a hybrid network model

1 Clinical Mental Health Department, The First Hospital of Hebei Medical University, Hebei, China 2 College of Education, Hebei Normal University, Shijiazhuang, China Objective: By constructing ...