Results 131 to 140 of about 110,857 (196)

SAA/FPR2 Signaling Between Pericentral Hepatocytes and Macrophages Exacerbates Zonated Liver Transplant Injury

Advanced Science, EarlyView.
After liver transplantation, ischemia‐reperfusion injury is more severe in pericentral regions. Multiomic analyses of human grafts and mouse models identify FOXO1 activation in pericentral hepatocytes as an upstream driver of SAA secretion. SAA recruits and activates FPR2+ macrophages, amplifying local inflammation. Amilo‐5MER inhibits SAA bioactivity,
Feng Zhang, Rong Li, Tingting Wang, Jianhao Zhang, Zhengqi Wu, Qiang You, Xuying Liu, Cuicui Xiao, Jiebin Zhang, Haitian Chen, Jiaqi Xiao, Jia Yao, Jun Zheng, Yingcai Zhang, Hua Li, Shuhong Yi, Yang Yang, Qi Zhang, Xiaofeng Yuan, Yasong Liu   +19 more
wiley   +1 more source

A flexible framework for automated STED super-resolution microscopy. [PDF]

Sci Rep
Hörl D.
europepmc   +1 more source

Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures

Advanced Science, EarlyView.
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong, Yipei He, Jiaxuan Wang, Chenyi Qian, Gerd E Schröder‐Turk, Raj Das, Junye Shi, Qi Tang, Zheda Ning, Wenjue Yi, Chuanwei Li, Jiangping Chen, Zeyao Chen, Binbin Yu, Jian LU, Jianfeng Gu, Ma Qian   +16 more
wiley   +1 more source

AI driven dual constraint cooptimization of affective semantics and engineering parameters for biomimetic product design. [PDF]

Sci Rep
Wang Y, He J, Yang M, Hao Z, Kim KS.
europepmc   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

MetaFX: feature extraction from whole-genome metagenomic sequencing data. [PDF]

Bioinformatics
Ivanov A, Popov V, Morozov M, Olekhnovich E, Ulyantsev V.   +4 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Investigating the impacts of urban agglomeration spatial structures on carbon emissions based on spatial networks of cities. [PDF]

Sci Rep
Tan G, Zhang X, Wang H, Xiong S, Sun Z, Lei Y, Du S.   +6 more
europepmc   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Fast phenotype simulation for genotype representation graphs. [PDF]

Bioinform Adv
Syam A, Adonizio C, Wei X.
europepmc   +1 more source