Results 191 to 200 of about 88,614,374 (290)

Clinical and socioeconomic factors associated with return-to-work after upper and lower limb fractures. [PDF]

BMC Public Health
Shih JT, Shen PH, Wang CC, Wang SH, Yeh TT, Su SL, Chang FH, Wu CC.   +7 more
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Return to Work after Surgical Treatment of Osteochondral Defects of the Talus: A Systematic Review and Meta-Analysis. [PDF]

Cartilage
Emanuel KS, van Beelen S, Dahmen J, Hollander JJ, Stufkens SAS, Kuijer PPFM, Kerkhoffs GMMJ.   +6 more
europepmc   +1 more source

Ultrathin Amphipathic Dual‐Polymer Networks: Unlocking Hyper‐Permeable CO2 Capture via Solvent‐Mediated Poly(Ethylene Oxide) Amorphization

Advanced Functional Materials, EarlyView.
Hydrophilic PEO‐copolymers and hydrophobic PDMS are physically integrated via a compatibilizing solvent into an amphipathic dual‐polymer network with versatile interfacial affinity and completely amorphized PEO segments for hyper‐permeable CO2 transport.
Ji Wu, Fan Feng, Baiwang Zhao, Jordan Yuan Zhe Ng, Kaiyu Wang, Can Zeng Liang, Guangtai Zheng, Boxuan Zhao, Tai‐Shung Chung, Sui Zhang   +9 more
wiley   +1 more source

Return to Work After a Cardiovascular Event: The Central Role of Cardiac Rehabilitation. [PDF]

J Clin Med
Pacileo M, Giallauria F, Cuomo G, Vallefuoco G, Mauriello A, Russo V, D'Andrea A.   +6 more
europepmc   +1 more source

Photo‐Degradable Polyester Networks and Multi‐Photon Printed Objects Based on Cyclic Ketene Acetals

Advanced Functional Materials, EarlyView.
The current work introduces a photoreversible polyester network derived from radical ring‐opening polymerization of cyclic ketene acetals. It combines photoreversible cross‐linking with initiator‐free multi‐photon printing. Reversible network formation, tunable mechanical properties, and selective degradation highlight its potential as a versatile ...
Till Meissner, Julian Fanelli, Vinh Xuan Truong, Rob Jones, Jens Gaitzsch, Christopher Barner‐Kowollik   +5 more
wiley   +1 more source

Predicting return-to-work outcomes: A comparative analysis of logistic regression and machine learning in occupational mental health. [PDF]

Medicine (Baltimore)
Dias A, Dias A, Nunes HRC, Ruiz-Frutos C, Gómez-Salgado J, Alonso MS, Bernardes JM, Castaño-Seiquer A, Ribas-Pérez D, Lacalle-Remigio JR.   +9 more
europepmc   +1 more source

Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

Advanced Functional Materials, EarlyView.
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Pham Anh Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou   +7 more
wiley   +1 more source

Return to work after myocardial infarction: A systematic review. [PDF]

J Cardiovasc Thorac Res
Santana Barbosa T, Cordeiro Dos Santos N, Pereira Costa M, Aras Junior R.   +3 more
europepmc   +1 more source