Results 201 to 210 of about 202,857 (337)

A Tutorial on Rigorous Scientific Inference: Bayesian Model Selection, the Zero-Patch Standard, and the Deductive Primacy of Axioms Illustrated by the Voynich Manuscript

Igor Durdanovic
openalex   +1 more source

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

Bio‐Inspired Mechanical Amplification Block on Implantable Tactile Sensors

Advanced Electronic Materials, EarlyView.
 . ABSTRACT Implantable strain sensors offer opportunities for continuous biomechanical monitoring, but their performance deteriorates severely once embedded in soft tissue due to mechanical shielding that suppresses strain transmission to the sensing layer.
Sungbin Choi, Yeong‐sinn Ye, Chanho Jeong, Yujin Mun, Suyoun Oh, Tae‐il Kim   +5 more
wiley   +1 more source

Prioritising Health Workforce Solutions for Rural and Regional Queensland: A Delphi Study. [PDF]

Aust J Rural Health
Flenady T, Benveniste T, Dawson D, Thomas MJW, McGrail M.   +4 more
europepmc   +1 more source

When LLMs fall short in Deductive Coding: Model Comparison and Human AI Collaboration Workflow Design

Zijian Li, Luzhen Tang, Mengyu Xia, Xinyu Li, Naping Chen, Dragan Gašević, Yizhou Fan   +6 more
openalex   +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

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Leveraging ChatGPT for thematic analysis of medical best practice advisory data. [PDF]

JAMIA Open
Jeong Y, Smith M, Gallo RJ, Knowlton LM, Lin S, Shieh L.   +5 more
europepmc   +1 more source

CONDENSATION OF AN ATOMIC COLLAPSAR-MONOPOLYUM CATALYZING REACTIONS OF COLD NUCLEAR TRANSMUTATION. HEURISTIC HYPOTHETICAL-DEDUCTIVE MODEL OF THE THEORY OF QUANTUM GRAVITY

V.P. Triburt
openalex   +1 more source

An approach to validation of deductive conceptual models

, 1991
We propose an approach to validation of deductive conceptual models. This validation is performed through plan generation. The objective of plan generation is to determine sequences of events that lead to a certain goal state from a certain initial state.
openaire   +1 more source