Abstract: Aiming at the problem of scarce samples and complex features of rare faults in distribution networks, this paper proposes an intelligent diagnosis method based on small sample learning.

Researchers identify distinctive genetic stocks of Pacific cod in Alaska and use that information to build a cost-effective ...

Abstract: With the advancement of the "dual carbon" goals, the penetration rate of distributed generations such as wind power and photovoltaic power in distribution networks has been continuously ...

Anxiety in adolescents aged 10 to 19 years correlated with increased negative cognitions and reduced quality of life.

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Anaemia, early pregnancy, poor facilities and underpaid ASHAs show how patriarchy and poverty shape women’s healthcare access ...

Introduction Obesity and its downstream non-communicable diseases (NCDs) are the greatest health challenges of the 21st century, even in low-income and middle-income countries such as India. As ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

There's a quiet assumption most of us carry through the produce aisle: that fresh fruits and vegetables are inherently safe.

New data from 2026 shows DAOs centralising, not decentralising. Corporate governance research explains why participation ...