Results 221 to 230 of about 3,850,693 (278)

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

Comorbidities in Discoid Lupus: A Systematic Review and Meta-analysis of Prevalence and Association. [PDF]

Dermatol Ther (Heidelb)
Sanz-Cabanillas JL, Gómez-García FJ, Sanz-Cabanillas EB, Gay-Mimbrera J, Isla-Tejera B, García-Nieto AJV, Ruano J.   +6 more
europepmc   +1 more source

Study on the Reaction Mechanism of RuOx and Its Enhanced Hydrogen Evolution Reaction Activity

Advanced Science, EarlyView.
In situ Raman spectroscopy and DFT calculations reveal that, prior to the onset of HER, the surface of RuOx undergoes reversible reduction and structural reconstruction. The resulting Ru(II)O/Ru(IV)O2 configuration is identified as the true catalytically active species.
Liquan Zhang, Haobo Dong, Jianrui Feng, Longxiang Liu, Fei Guo, Liqun Kang, Guoliang Chai, Mohamed A. Ghanem, Xinde Chen, Ivan P. Parkin   +9 more
wiley   +1 more source

Perinatal anxiety and depression screening and psychiatric care linkage in a regional Korean obstetric setting. [PDF]

Obstet Gynecol Sci
Kim R, Shim SS, Kang HS.
europepmc   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Hypokalemic Periodic Paralysis in a Young Woman With Mast Cell Activation Syndrome: A Case Report of an Atypical Presentation Associated With an Ultra-Rare CACNA1S Variant. [PDF]

Clin Case Rep
Moradi A, Aboutaleb Y, Noreen S, Sahyouni A, Sharma H, Oyesanmi O, Kahane IM, Lin Y, Toka HR.   +8 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Reconfigurable Transmission Design for PASS-MIMO via Waveguide Indexing. [PDF]

Sensors (Basel)
Wang Y, Yang S, Peng J.
europepmc   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

Analysis of Health-Related Quality of Life in Multiple Sclerosis: A Bayesian Quantile LASSO Approach. [PDF]

Healthcare (Basel)
Lu X, Li J, Aparasu RR, Wu C.
europepmc   +1 more source