Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

据了解，“贝叶斯神经网络”的理论基础来自广义相对论和磁流体动力学，特别适合处理背景噪声大、数据不完整或者观测条件复杂的任务，能够从复杂的观测信号中准确地识别出黑洞物理参数的可信区间，在其帮助之下，科学家发现了银心黑洞有两个引人注目的特点。

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

人工智能的应用在物理学领域已日益普遍，但物理学能否反过来助力人工智能呢？塔拉·希尔斯（Tara Shears）在英国物理学会（Institute of Physics）的一项调查与报告发布后，审视了这两个领域之间的关系。双向道: ...

在此基础上，再加上我们与银心黑洞的距离非常遥远（大约为2.6万光年），黑洞喷流中的高能带电粒子跨越如此漫长的空间距离后，其密度也会扩散至一个很低的水平，在地球磁场的保护之下，它们几乎不可能对我们构成任何威胁，所以我们不必对此太过担心。

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...