Results 111 to 120 of about 1,645,835 (250)

PLOD1 Catalytic Activity Stabilizes ENO1 by Limiting FBXW7‐dependent Degradation to Promote Glycolysis and TMZ Resistance in Glioblastoma

Advanced Science, EarlyView.
PLOD1 interacts with ENO1 and limits its FBXW7‐dependent ubiquitination and proteasomal degradation through a mechanism requiring PLOD1 catalytic activity. ENO1 stabilization sustains glycolysis, promoting glioblastoma cell proliferation, migration, and temozolomide resistance.
Fen Xue, Dingkong Liang, Xin Chen, Fei Fan, Xiayun He   +4 more
wiley   +1 more source

Contacts parent-enfant en contexte de placement : liens entre la sensibilité du parent d’accueil et les réactions des enfants à la suite des contacts

Enfances, Familles, Générations, 2019
Research Framework: In Quebec, the Youth Protection Act encourages contact between children and their biological parents following placement in foster care.
Lisa Auger, Karine Poitras, George M. Tarabulsy   +2 more
doaj  

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.
core  

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

The Tribally Adapted National Training and Development Curriculum (NTDC): Impact on Foster and Adoptive Parent Preparedness to Foster American Indian Children from the Southwest Region of the United States

Social Sciences
Foster parents working with children who are American Indian/Alaskan Native (AIAN) face challenges to provide trauma-informed, developmentally appropriate, and culturally relevant care for the children in their care.
Angelique G. Day, Carson Ball, Norma Hernandez, Katie Baudhuin, Becky Carino, Becky Main   +5 more
doaj   +1 more source

Letter (copy): B.G. Foster to Mr. Langhourne Williams, August 26, 1927

, 1927
Copy of letter, 5 ...
Foster, B.G.
core  

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Child Protection and Adult Crime: Using Investigator Assignment to Estimate Causal Effects of Foster Care [PDF]

Nearly 20% of young prison inmates spent part of their youth in foster care - the placement of abused or neglected children with substitute families. Little is known whether foster care placement reduces or increases the likelihood of criminal behavior ...
Joseph J. Doyle, Jr.
core  

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source