Results 151 to 160 of about 771,051 (255)

Single‐Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics

Advanced Science, EarlyView.
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du, Yinming Li, Ziyue Li, Yuedan Wang, Shaopeng Li, Yijie Wang, Yingying Qu, Bingyang Lv, Ying Li, Ting Chen, Yu Zhou, Xuan Xiao   +11 more
wiley   +1 more source

Tailored Personas for Lung Transplant Recipients' Return-to-Work Experiences: A Secondary Analysis of Qualitative Data. [PDF]

Patient Prefer Adherence
Huang K, Wang S, Cai L, Chen Z, Cao X, Zhou H.   +5 more
europepmc   +1 more source

Engineered Optogenetic Circuits In Yeast with Self‐Sustained Outputs

Advanced Science, EarlyView.
Optogenetic quorum‐sensing (OptoQS) circuit enables Saccharomyces cerevisiae to record transient light stimulus with self‐sustained outputs. Panel a indicates the design of the OptoQS circuit based on G‐protein coupled receptor (GPCR) signaling cascade. Panel b indicates the mode of action of surrogate messenger‐mediated signal transmission at the cell
Cong Fan, Haofeng Chen, Yan Wang, Junyi Wang, Yueyang Chen, Yang Zhang, Jinting Guan, Jifeng Yuan   +7 more
wiley   +1 more source

Physical Activity, Body Appreciation, and Perceived Stress in Relation to Life Satisfaction Among University Students. [PDF]

Healthcare (Basel)
Vučković V, Kajtna T, Širok K.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Financial toxicity and exercise adherence in stroke patients: a parallel mediation model of perceived social support and self-efficacy. [PDF]

Front Public Health
Luo X, Peng Y, Zhao Q.
europepmc   +1 more source

Wavelength‐Dependent Photobiomodulation Regulates Macrophage Polarization via Mitochondrial Dynamics and Metabolic Reprogramming

Advanced Science, EarlyView.
Light wavelength encodes distinct macrophage fates through mitochondrial and metabolic remodeling. Red 625 nm irradiation induces glycolysis, mitochondrial fission, and M1 polarization, whereas near‐infrared 850 nm irradiation promotes fatty acid oxidation, mitochondrial fusion, and M2 polarization.
Qiusheng Shi, Hao Jia, Jianfei Dong, Linhao Li, Jingqi Cao, Xun Chen, Zhenzhen Jia, Jing Na, Zhijie Yang, Xinyuan Chen, Yubo Fan, Shuhua Yue, Lisha Zheng   +12 more
wiley   +1 more source

SSABE-TSCM: drift-aware and interpretable financial sentiment analysis for low-resource Bangla via adaptive semi-supervised and temporal contrastive modeling. [PDF]

Front Artif Intell
Khandokar IA, Deshpande P.
europepmc   +1 more source

Surfaceome Reprogramming of Stemsomes Promotes Lung Cancer Targeting via Potentiated Receptor–Ligand Interactions

Advanced Science, EarlyView.
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim, In Ah Kwon, Bo Seop Jeong, Hyo Seon Kim, Joo‐Hwan Park, Sung Jean Park, Sang‐Rae Lee, Youngki Lee, Dongwoo Khang   +8 more
wiley   +1 more source

Research on a financial fraud identification model by fusing a convolutional neural network. [PDF]

PLoS One
Lu H, Zhu S, Zhang Y, Lv R.
europepmc   +1 more source