Results 131 to 140 of about 341,773 (269)

Understanding the Catalytic Determinant role of Diaphorase‐Like Subunit in Formate Dehydrogenases via Redox Couples

Advanced Science, EarlyView.
A unique mechanism of catalytic bias regulated by diaphorase‐like subunit in formate dehydrogenase from Rhodobacter aestuarii is revealed. The diaphorase‐like subunit functions act as a biological “voltage rheostat” that controls the slow release of NADH to regulate redox balance, biasing the enzyme's catalytic preference toward CO2 reduction over ...
Kuncheng Zhang, Weisong Liu, Hao Su, Huijuan Cui, Yuanming Wang, Zhiguang Zhu, Chun You, Lingling Zhang   +7 more
wiley   +1 more source

The Bayesian audit: evaluating the proportionality of scientific claims to evidence - a case study on social priming and walking speed. [PDF]

Front Psychol
Costa T.
europepmc   +1 more source

Bayesian Statistics [PDF]

Medical Decision Making, 2006
openaire   +2 more sources

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Evaluation of Vancomycin Therapeutic Drug Monitoring Strategies: Pharmacokinetic, Pharmacogenetic, and Clinical Perspectives in a Prospective, Real-World Cohort Study. [PDF]

Eur J Clin Pharmacol
Kurt İ, Koçak EG, Şen M, Mete B, Aygün G, Özdemir Ö, Günver MG, Dikmen Y, Tabak ÖF, Uydeş Doğan BS, Pala Kara Z.   +10 more
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

Bayesian Evaluation of Treatment Effect of Avelumab Plus Axitinib for Advanced Renal Cell Carcinoma. [PDF]

Cancer Med
Fukuokaya W, Mori K, Yanagisawa T, Ito K, Imai Y, Urabe F, Rajwa P, Shariat SF, Kimura T, Hirakawa A.   +9 more
europepmc   +1 more source

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Clinical Use of Bayesian Model-Informed Precision Dosing in Routine Practice: A Focused Systematic Review. [PDF]

J Clin Med
Alghamdi WA.
europepmc   +1 more source

Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design

Advanced Science, EarlyView.
This study reveals how surfactant‐driven interfacial design governs the assembly and stability of protein@MOF composites. Using lipid‐based nonionic surfactants, we modulate protein–MOF interactions to improve encapsulation efficiency, MOF crystallization, and catalytic performance.
Ehsan Rashidniyaghi, Mohammad Khavani, Carlie Coerver, Ruibin Liang, Raheleh Ravanfar   +4 more
wiley   +1 more source