Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Launched by one of the most popular web hosting solutions in the European market for now, the most powerful GPU ...

Neuroscience is a multidisciplinary science that is concerned with the study of the structure and function of the nervous system. It encompasses the evolution, development, cellular and molecular ...

Li, H. (2026) A Study on the Impact of New Media on College Students’ Oral English Learning —Taking English Content Creators on Bilibili as an Example. Open Access Library Journal, 13, 1-18. doi: ...

Abstract: This paper explores a predictive game in which a Forecaster announces odds based on a time-homogeneous Markov kernel, establishing a game-theoretic law of large numbers for the relative ...

The final, formatted version of the article will be published soon. Predictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a ...

Abstract: Effective patient representation learning from Electronic Health Records (EHR) is essential for improving disease prediction models, yet it faces critical challenges such as the scarcity of ...

Sea surface temperature (SST) serves as a critical indicator for assessing marine ecosystem health. Given the increasing human exploitation of marine resources, accurate SST prediction has garnered ...