Results 171 to 180 of about 6,836 (219)

AI‐Revealed Transition From Density‐ to Connectivity‐Controlled Mechanics in Hierarchical Porous Materials

open access: yesSmall, EarlyView.
Using synchrotron‐based multiscale imaging, generative modeling algorithms, and computational mechanics models, our study reveals a scale‐dependent transition in bone mechanics. The results of the power‐scaling law illustrate a transition from density‐controlled stiffness at the trabecular scale to connectivity‐controlled, porosity‐sensitive mechanics ...
Milad Masrouri   +3 more
wiley   +1 more source

From Atomic‐Scale Engineering to Industry‐Ready Systems: Prospects for Seawater Electrolysis Toward Hydrogen

open access: yesSmall, EarlyView.
Seawater electrolysis is emerging as a viable route for large‐scale green hydrogen production, yet faces challenges from complex chemistries and harsh operating conditions. This review critically examines advances in electrocatalysts, device structures, and mechanistic understanding, highlighting scalable design strategies, durability in real seawater,
Jiaxi Ding   +8 more
wiley   +1 more source

Improved prediction of childhood anemia using hybrid ensemble learning and dual-level explainability. [PDF]

open access: yesJ Public Health Res
Kukkar A   +7 more
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

open access: yesSmart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin   +10 more
wiley   +1 more source

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

Morphological Sinus Features and Chronic Rhinosinusitis Risk: A Radiomics Study

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives Anatomical factors of the sinuses significantly impact the progression of chronic rhinosinusitis (CRS). This study aims to investigate the correlation between morphological sinus features and the risk of CRS onset to provide evidence‐based support for clinical management.
Song Luo   +4 more
wiley   +1 more source

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