Results 181 to 190 of about 270,167 (316)

Differentiated trust: navigating credibility landscapes in community-engaged research. [PDF]

Front Public Health
Arxer SL.
europepmc   +1 more source

Credibility and adjustment: gold standards versus currency boards [PDF]

It is often maintained that currency boards (CBs) and gold standards (GSs) are alike in that they are stringent monetary rules, the two basic features of which are high credibility of monetary authorities and the existence of automatic adjustment (non ...
Nikolay Nenovsky, Jean Baptiste Desquilbet   +1 more
core  

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Integrating transformer-based credibility signals into neural collaborative filtering for fake review-aware recommendation. [PDF]

Sci Rep
Abdelmohsen Y, Wassif K, Ramadan N.
europepmc   +1 more source

Interest Rate Rules, Inflation Stabilization, and Imperfect Credibility: The Small Open Economy Case [PDF]

The paper examines the robustness of Interest Rate Rules, IRRs, in the context of an imperfectly credible stabilization program, closely following the format of much of the literature in open-economy models, e.g., Calvo and Végh (1993 and 1999).
Guillermo A. Calvo
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

How tight should one's hands be tied? Fear of floating and credibility of exchange regimes. [PDF]

The literature on exchange regimes has recently observed that officially self-declared free floaters strongly intervene their nominal exchange rates to maintain them within some unannounced bands.
Hugo Rodríguez Mendizábal, Jesús Rodríguez López   +1 more
core  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Reply to Guido et al.: The importance of credibility in outreach interventions. [PDF]

Proc Natl Acad Sci U S A
Linos E, Lasky-Fink J.
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source