Results 91 to 100 of about 338,820 (301)

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Semi-linear credibility results [PDF]

open access: yes
An original paper which suggests a way of thinking for semilinear credibility theory develpment, founded on analysis of the functions of the observable random variables.
Virginia ATANASIU
core  

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

open access: yesAdvanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo   +14 more
wiley   +1 more source

The S-O-R framework in action: The impact of source credibility, interactivity, and perceived usefulness on consumer engagement and trust in live streaming commerce [PDF]

open access: yesInnovative Marketing
The emergence of live-streaming commerce has significantly altered the purchasing patterns of consumers, and it has become a critical component of e-commerce and marketing, specifically during the pandemic. This study investigates how customer engagement
K. Subathra, Paul Arun Kumar J
doaj   +1 more source

Bioinspired Passive Flow Routing to Mitigate Thrombosis in Prosthetic Heart Valves and Cardiovascular Devices

open access: yesAdvanced Science, EarlyView.
Bioinspired passive flow routing mitigates thrombosis in cardiovascular devices by redirecting a small fraction of forward flow into stagnation‐prone regions. Inspired by avian alula and aircraft slat mechanisms, strategically placed routing channels restore washout around mechanical heart valves, reducing low‐shear exposure by four orders of magnitude
Yevgeniy Kreinin   +8 more
wiley   +1 more source

Self-enforcing international agreements and domestic policy credibility [PDF]

open access: yes, 2003
We explore the relationship between international policy coordination and domestic policy credibility when both must be self-supporting. Our arguments are presented in the context of a two-country, two-period model of dynamic emission abatement with ...
Perroni, Carlo   +3 more
core  

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

open access: yesAdvanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui   +3 more
wiley   +1 more source

When Logic Meets Politics: Testimony, Distrust, and Rhetorical Disadvantage

open access: yesInformal Logic, 1993
The contested testimony in the Hill-Thomas ease is an illuminating test case for universalistic theories about the reliability of testimony. There is no reasonable alternative to universalistic standards of epistemic appraisal.
Trudy Govier
doaj   +1 more source

Notes on Credibility and Stabilization [PDF]

open access: yes
Do existing theories of stabilization help understand the credibility issues involved in such programs? The experience with stabilization in a hyperinflation setting in Israel and Latin America makes it worthwhile to ask how much existing theories help ...
Rudiger Dornbusch
core  

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

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