Results 211 to 220 of about 17,664 (312)

Oil‐Coated Nanoplastics Induce Rapid Membrane Disruption and Severe Intestinal Injury

Advanced Science, EarlyView.
Oil‐rich food contact dramatically amplifies MNP release from plastic takeout containers, producing oil‐coated nanoplastics with altered surface properties and rapid membrane‐disruptive effects. These particles cause severe intestinal barrier damage and immune dysfunction in mice, and risk modeling suggests that long‐term gastrointestinal burdens may ...
Ruwen Xie, Gulimire Yilihan, Qiong Chen, Dachuan Lin, Zhen Liu, Mengyi Yuan, Yujia Wang, Haoteng Xu, Weishang Zhou, Wanxin Gong, Yueer Li, Chen Peng, Tong Yang, Peng Gao, Qing Liu, Xin‐Hua Feng, Mu Xiao, Chao Jiang   +17 more
wiley   +1 more source

Ignorance and Epistemic Contextualism [PDF]

, 2016
Blome-Tillmann, Michael
core  

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source

Through the extended evolutionary meta-model, and what ACT found there: ACT as a process-based therapy. [PDF]

J Contextual Behav Sci
Ong CW, Ciarrochi J, Hofmann SG, Karekla M, Hayes SC.   +4 more
europepmc   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Contextual Framework

Rožman, Mojca, Fraillon, Julian, Dexter, Sara, Bundsgaard, Jeppe, Schulz, Wolfram   +4 more
openaire   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Constructing a predictive model of negative academic emotions in high school students based on machine learning methods. [PDF]

Sci Rep
Ma S, Jia N, Wei X, Zhang W.
europepmc   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

Parental psychological control and depressive symptomatology in Chinese junior middle school students: a moderated mediation model. [PDF]

BMC Psychol
Liu H, Fu L, Liang X, Zhang J, Zhang L, Zhai Y, Zhao J.   +6 more
europepmc   +1 more source