Results 141 to 150 of about 1,870,692 (256)

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

Advanced 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, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Infant mental health services for birth and foster families of maltreated pre-school children in foster care (BeST^?): a cluster-randomized phase 3 clinical effectiveness trial. [PDF]

Nat Med
Crawford K, Young R, Wilson P, Deidda M, Forde M, Millar S, McConnachie A, Boyd K, McIntosh E, Ougrin D, Henderson M, Gillberg C, Kainth G, Turner F, Sonuga-Barke EJS, Fitzpatrick B, Minnis H.   +16 more
europepmc   +1 more source

Other title: Title from HTML header (viewed Nov. 19, 2010): Connecticut Department of Children and Families

, 2012
Updated irregularly; Began in 2002?; Title from home page (publisher's Web site, viewed Nov. 19, 2010).; At head of title: State of Connecticut.; Harvested from the web on 2/6/12Official website of the Connecticut Department of Children and Families ...

core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Measurement Error in the Reported Reasons for Entry into the Foster Care System [PDF]

To date, much of the research on foster dependence hinges on the validity of the reasons for entry into the foster care system. Yet, no one has tested these data. Since these reasons for entry help to assess individual differences in foster care children,
Debra Dwyer
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Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Malnutrition and its determinants among older adults living in foster families in Guadeloupe (French West Indies). A cross-sectional study. [PDF]

PLoS One
Boucaud-Maitre D, Simo-Tabue N, Mounsamy L, Rambhojan C, Letchimy L, Rinaldo L, Dartigues JF, Amieva H, Dramé M, Tabué-Teguo M.   +9 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

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

Advanced 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, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Letter with attachment: B.G. Foster to Ida M. Tarbell, August 18, 1927

, 1927
Letter with typed transcript of letter, Cooke to Editor, taken from Southern Churcman, July 30 ...
Foster, B.G.
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