Results 181 to 190 of about 2,207,642 (292)

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

open access: yesAdvanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen   +7 more
wiley   +1 more source

Alignment-Free Machine Learning Serotype Classification of the Dengue Virus. [PDF]

open access: yesViruses
Gajdov V   +6 more
europepmc   +1 more source

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

open access: yesAdvanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su   +13 more
wiley   +1 more source

PET Imaging of Cardiac Inflammation in Viral Myocarditis Using a DPP4‐Targeted Probe

open access: yesAdvanced Science, EarlyView.
This study describes a DPP4‐targeted PET probe for imaging myocardial inflammation by selectively targeting activated immune cells. Derived from the clinically approved small‐molecule inhibitor linagliptin, the probe demonstrates favorable biodistribution with specific cardiac uptake in myocarditis.
Wanhao Gao   +14 more
wiley   +1 more source

Nanoarchitectonics of Porous Carbons Templated by Inorganic Metal Oxides and Alkali Metal Salts for Energy and Environmental Applications

open access: yesAdvanced Science, EarlyView.
This review explores inorganic metal oxides and metal salt nanoparticles templated porous carbons, highlighting their synthesis, structural features, and performance in energy and environmental applications. It critically compares template types, porosity control, and functional outcomes across recent literature.
Gurwinder Singh   +8 more
wiley   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

open access: yesAdvanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu   +9 more
wiley   +1 more source

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