Results 161 to 170 of about 343,485 (273)

Causal Factors of Anxiety and Depression in College Students: Longitudinal Ecological Momentary Assessment and Causal Analysis Using Peter and Clark Momentary Conditional Independence.

JMIR Ment Health, 2020
Huckins JF, DaSilva AW, Hedlund EL, Murphy EI, Rogers C, Wang W, Obuchi M, Holtzheimer PE, Wagner DD, Campbell AT.   +9 more
europepmc   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Gasdermin D‐Mediated Release of IL‐33 Results in Fetal Brain Developmental Abnormalities During Maternal Colitis

Advanced Science, EarlyView.
Under colitis, Gsdmd mediates the release of IL‐33 from the epithelium of pregnant mice. IL‐33 can cross the placenta and enhance the proliferative capacity of neural stem cells, ultimately resulting in behavioral deficits in the offspring. Excessive pyroptosis in the colonic epithelium also triggers the translocation of LPS, which in turn increases ...
Huiyang Jia, Shukui Zhang, Kai Ma, Jie Zhou, Jianwei Jiao   +4 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

CRISPR/Cas13a: Compensatory Target Activation Mechanism

Advanced Science, EarlyView.
CRISPR/Cas13a‐CTAM as a novel compensatory target activation mechanism that enables synergistic activation of Cas13a via two independently editable short RNA effectors. This dual‐effector system maintains enzymatic activity comparable to traditional single‐effector while significantly enhancing flexibility, sensitivity, and application scope.
Bowen Jiang, Tenghua Zhang, Yao Lu, Shujun Zhou, Wenjing Xiao, Shuming Pan, Nan Shi, Yan Sheng, Jiaming Hu   +8 more
wiley   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Artificial Intelligence Powers Protein Functional Annotation

Advanced Science, EarlyView.
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang, Qiurong Yang, Min Zeng, Ruiqing Zheng, Min Li   +4 more
wiley   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source