Results 101 to 110 of about 441 (221)

Testing Hypotheses of Covariate Effects on Topics of Discourse

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 2, April 2026.
ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley   +1 more source

Imputing Missing Long‐Term Spatiotemporal Multivariate Atmospheric Data With CNN‐Transformer Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Continuous physical domains are important for scientific investigations of dynamical processes in the atmosphere. However, missing data—arising from operational constraints and adverse environmental conditions—pose significant challenges to accurate analysis and modeling.
Jiahui Hu, Wenjun Dong, Alan Z. Liu
wiley   +1 more source

Developing and Evaluating Aquatic Passive Sampling of Environmental DNA for Microbial Community Profiling

Molecular Ecology Resources, Volume 26, Issue 3, April 2026.
ABSTRACT Environmental DNA (eDNA) metabarcoding has transformed biodiversity monitoring across taxa from bacteria to mammals, yet sample collection remains a major bottleneck. Passive sampling via adsorption and entrapment has emerged as a promising alternative to overcome the limitations of conventional active filtration.
Cheng Qian, Gert‐Jan Jeunen, Wu Han, Tsz Ying Chan, Yan Jiang, Weiqi Fu, Mathew Seymour   +6 more
wiley   +1 more source

Artificial intelligence streamlines scientific discovery of drug–target interactions

British Journal of Pharmacology, Volume 183, Issue 8, Page 1673-1690, April 2026.
Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
wiley   +1 more source

Research on a Wire Rope Breakage Detection Device for High-Speed Operation Based on the Multistage Excitation Principle. [PDF]

Sensors (Basel), 2023
Zhou Z, Zhang X, Deng R, Han L, Zhou M, Ma Z, Chang X, Peng Y.   +7 more
europepmc   +1 more source

Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression

Advanced Science, Volume 13, Issue 13, 3 March 2026.
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai, Taipeng Sun, Mengzhen Feng, Gang Chen, Junchi Zhou, Hong Zhuang, Dan Wang, Ying Chen, Zhen Cheng, Zhi Xu, Xiao Zheng, Xueli Zhang, Yonggui Yuan   +12 more
wiley   +1 more source

Observations of the Electromagnetic Electron Kelvin‐Helmholtz Instability and Its Impact on the Dynamics Inside a Flux Rope

Geophysical Research Letters
The electromagnetic electron Kelvin‐Helmholtz instability (EM EKHI) and its impact on the dynamics inside a flux rope (FR) is investigated through observations from the Magnetospheric Multiscale mission.
K. Jiang, S. Y. Huang, Q. M. Lu, Z. G. Yuan, Q. Y. Xiong   +4 more
doaj   +1 more source

Design and Application of Portable Centrifuge Inspired by a Hand-Powered Spinning Top. [PDF]

Micromachines (Basel), 2023
Tang D, Duan Z, Liu L, Jia Z, Lang L, Tan Y.   +5 more
europepmc   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

Advanced Science, Volume 13, Issue 16, 18 March 2026.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen, Zhihang Xu, Yiping Zou, Zhenlai Jiang, Yecheng Li, Taochen He, Hanlin Yin, Jiali Li, Yanfei An, Jiande Han, Yuqi Xie, Wei Gan, Yaolin Xu, Wenquan Wang, Junyi He, Haibo Wang, Wenchuan Wu, Zhenyu Ye, Wenhui Lou, Jihui Hao, Liang Liu, Jun Yu, Ning Pu   +22 more
wiley   +1 more source

Biomimetic Membrane Interface Technologies for Detection and Isolation of CTCs and EVs: Advances and Opportunities in Liquid Biopsy

Advanced Science, Volume 13, Issue 13, 3 March 2026.
Biomimetic membrane interface engineering constructs functionalized detection platforms by integrating natural cell membranes, synthetic lipids, or hybrid membranes. This strategy effectively reduces background interference and enables efficient target capture and analysis, showing broad applications in circulating tumor cell separation, extracellular ...
Duo Liu, Jie Yu, Jingxue Li, Yixue Chen, Mengle Peng, Yifan Xu, Yongjun Wu, Lihua Ding, Sitian He   +8 more
wiley   +1 more source