Results 131 to 140 of about 258,655 (245)

Programmable Guest‐Induced 5‐Phase‐Transition Topological Reconstructions of Cobalt Formate Metal–Organic Frameworks

Advanced Science, EarlyView.
A reversible five‐phase topological cycle is achieved in a minimalist cobalt formate metal–organic framework. The amorphous phase functions as a programmable reactive hub, selectively reconstructing into four distinct crystalline architectures through cationic templates, humidity, or CO2.
Zhiyu Tao, Jingjian Li, Jing Ling, Tianxiang Chen, Wing‐Yiu Yu, Cong Lin, Tsz Woon Benedict Lo   +6 more
wiley   +1 more source

How accurate are Bayes factor-based null hypothesis tests? A simulation study. [PDF]

Behav Res Methods
Schad DJ, Modrák M.
europepmc   +1 more source

Periostin‐CCL3 Feedforward Signaling Loop Promotes Cardiac Fibrosis and Cardiomyocyte Necroptosis in Arrhythmogenic Cardiomyopathy

Advanced Science, EarlyView.
POSTN‐CCL3 signaling forms a feed‐forward circuit between cardiomyocytes and cardiac myofibroblasts in arrhythmogenic cardiomyopathy. POSTN activates JNK/RIP3‐dependent necroptotic signaling and JNK/ETS2‐induced CCL3 expression in cardiomyocytes. In turn, CCL3‐CCR5 signaling in cardiac myofibroblasts activates NF‐κB/p65 and promotes POSTN expression ...
Tiantian Wu, Ruotong Li, Xiaoyue Zhang, Dandan Chen, Jianmeng Yang, Mengmeng Li, Yuhan Yin, Ya Wang, Yuqiu Tian, Haoling Yan, Dan Cui, Jiangping Song, Gaoliang Ouyang   +12 more
wiley   +1 more source

Rare variant effect estimation and polygenic risk prediction. [PDF]

Nat Genet
Nam K, Kho M, Zhou W, Mukherjee B, Lee S.   +4 more
europepmc   +1 more source

Pathological Signal‐Responsive Nanoplatforms for Sepsis: Integrating Biomarker Sensing With Spatiotemporal Drug Delivery and Immunomodulation

Advanced Science, EarlyView.
Biomarker‐triggered nanoplatforms transform sepsis therapy by coupling pathological sensing with precision drug release. This review reveals how microenvironment‐responsive nanomedicines enable stage‐specific intervention, improve therapeutic efficacy, and minimize systemic toxicity, while highlighting emerging opportunities for AI‐assisted and ...
Yukun Liu, Kang Wang, Kwet Kyawl Yan, Zhikai Xu, Xuan Zhao, Xiangjun Bai, Zhanfei Li, Yuchang Wang   +7 more
wiley   +1 more source

Bayesian Estimation of the Binomial Parameter in Adaptive Designs With Treatment Selection. [PDF]

Stat Med
Bunouf P, Boher JM.
europepmc   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

Everything Is Prediction: Modern Machine Learning as Bayesian Inference. [PDF]

Entropy (Basel)
Polson NG, Sokolov V, Soyer R.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Collective posterior inference from highly variable empirical replicates. [PDF]

PLoS Comput Biol
Ben Nun N, Rosset S, Gresham D, Ram Y.
europepmc   +1 more source