Results 181 to 190 of about 123,550 (297)

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Healthcare with unconditional positive regard: the KICS clinic medical home model for children in out-of-home care. [PDF]

Front Pediatr
Orsi-Hunt R, Allan H, Wilson RA, Domek G, Keeshin BR, Hoffert Gilmartin AB.   +5 more
europepmc   +1 more source

Prmt6 Deficiency or Inhibition Restores Microglial Homeostasis and Promotes Scar‐Limited Repair in Adult Spinal Cord Injury

Advanced Science, EarlyView.
After spinal cord injury, adult microglia remain persistently activated with chronic PRMT6 (protein arginine methyltransferase 6) upregulation. Prmt6 deficiency or inhibition reestablishes microglial homeostasis and promotes a scar‐limited repairment, enhancing axonal regrowth.
Weilin Peng, Zhengqiang Wu, Yu Xiong, Zhongya Gao, Yishan Liu, Ziyi Wang, Haibin Wang, Chaofeng Han, Wenxiang Chu, Xuhua Lu   +9 more
wiley   +1 more source

Self-esteem and psychological immune competence of young people raised in child protection care. [PDF]

Front Public Health
Erdei I, Kovács KE, Rákó E.
europepmc   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Community perceptions of natural supports and their approaches: A Canadian grounded theory study with Connections First. [PDF]

PLoS One
Walsh JA, Manhas KP, Stephenson N, McDonald SW, Patten SB, Tough SC.   +5 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Codesign and knowledge translation of the Strength-based, Tiered, Accessible Resources and Supports (STARS) for Kids study to identify and support child development, parental mentalwell-being and family psychosocial needs: a mixed-methods research protocol. [PDF]

BMJ Paediatr Open
John JR, Robinson H, Lambiase S, Nicholls S, Diez M, Barr KR, Ostojic K, Doyle AK, Kliendienst L, Foster M, Syron L, Carson T, Kohlhoff J, Dadich A, Brennan C, Katsamangos B, Kemp L, Finlay-Jones A, O'Loughlin G, Boydell K, Raman S, Deen N, Lawson K, Schmied V, Katz I, Page A, Grace R, Kanaan AM, Young R, Brandtman E, Bratel L, Hodgins M, Lingam R, Lam-Cassettari C, Goldfeld S, Walker AK, Lin PI, Morton S, Silva D, Downs J, Woolfenden S, Eapen V, Ngarra Wakulda Aboriginal Community Consultation Group, STARS for Kids author group, Aboriginal Community Consultation Group.   +44 more
europepmc   +1 more source

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