Results 181 to 190 of about 5,416,756 (285)

Ultrahigh Interfacial Thermal Conductance across GaN/BAs Interfaces via Atomic‐Level Engineering

Advanced Science, EarlyView.
The integration of gallium nitride (GaN) with ultrahigh‐thermal‐conductivity boron arsenide (BAs) substrates represents a promising pathway for developing next‐generation high‐power devices. The heat dissipation capability of such integrated systems is fundamentally governed by thermal transport across GaN/BAs interfaces, and buffer layers such as ...
Linfeng Yu, Hongkai Zhang, Haofeng Qin, Yi Zhang, Jinyuan Xu, Yiming Zhao, Dongliang Ding, Jianbin Xu, Sunmi Shin, Zhuhua Zhang, Guangzhao Qin   +10 more
wiley   +1 more source

Macrophage Trogocytosis of Tumor Cells Drives the Immunosuppression of Tumor Microenvironment

Advanced Science, EarlyView.
Trogocytosis efficiency varies significantly among different tumor cells and is inversely related to their cortical stiffness; this efficiency dictates the extent of immunosuppression via upregulation of CXCL5 and Arg‐1, ultimately driving CD8+T cell exhaustion and tumor escape.
Chao Liang, Jiaqi He, Wan‐Ru Zhuang, Yao Lei, Yanru Jiang, Xianbin Ma, Pan Liu, Zhujun Jiang, Yongheng Li, Hai‐Yan Xie   +9 more
wiley   +1 more source

Prediction of Postoperative Vomiting Within 24 Hours Using Machine Learning With Large Language Model-Enhanced Interpretability: Development and Validation Study. [PDF]

JMIR Med Inform
Wang HJ, Lee WP, Gau TP, Cheng KI, Wei CR.   +4 more
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Machine Learning-Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study. [PDF]

JMIR Med Inform
Wang X, Xu Y, Xiao W, Dou P, Huang Y, Cao M, Luo L, Hou Q.   +7 more
europepmc   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source

Development of an explainable machine learning framework for early diabetes detection, multiclass classification, and risk stratification across age groups. [PDF]

Front Digit Health
Lukhele N, Mostafa F.
europepmc   +1 more source

Nrsn1–Smarcc1 Coupling Regulates Neural Stem Cell Differentiation and Chronic‐phase Recovery After Ischemic Stroke

Advanced Science, EarlyView.
In the post‐stroke brain, Foxa2 induces the transcriptional upregulation of Nrsn1 in NSCs. Nrsn1 functionally couples with Smarcc1, modulating its nuclear availability and protein abundance, thereby influencing Smarcc1‐associated regulatory programs linked to neuronal lineage commitment. Through this coupling, Nrsn1 promotes the differentiation of NSCs
Ruolin Zhang, Chang Liu, Yuneng Zhou, Kaichen Zhao, Muyang Li, Bingcheng Cai, Ying Wang, Zhiyuan Yuan, Zhaoxin Liu, Zilong Yuan, Yao Xiao, Peiyang Zhou, Ke Shui, Wendai Bao, Min Zhang, Jun Qin, Jun Chen, Xin Yang, Zhiqiang Dong   +18 more
wiley   +1 more source

Enhanced prediction of coronary heart disease risk in diabetic patients via Machine learning incorporating multiple inflammatory and metabolic indices: A study with Dual-Cohort validation. [PDF]

Int J Cardiol Heart Vasc
Xie P, Ran X, Zhu W, Xie Y, Dong Y, Wang Z, Zhai C, Qiao L, Yang J, Chen W.   +9 more
europepmc   +1 more source

Side‐Chain Asymmetry in Quinoxaline Copolymer Donors Enables Optimal Morphology and Improved Charge Dynamics for High‐Efficiency Organic Solar Cells

Advanced Science, EarlyView.
Side‐chain asymmetry in quinoxaline copolymer donors modulates donor–acceptor miscibility and blend morphology in all‐polymer solar cells. The asymmetric donor PBAQ6 enables more balanced charge transport, reduced recombination, and improved charge dynamics with PYF‐T‐o, delivering PCEs of 18.35% in binary devices and 19.52% in ternary devices ...
Can Zhu, Jinyuan Zhang, Ke Hu, Shirong Lu, Jianqi Zhang, Shucheng Qin, Hong Zhang, Yule Cheng, Wenbin Lai, Beibei Qiu, Jing Guo, Lei Meng, Gang Li, Yongfang Li   +13 more
wiley   +1 more source