Results 141 to 150 of about 197,948 (294)
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou +8 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
We developed a RhPd‐H nanozyme that integrates enhanced POD‐mimetic catalytic activity with thermally triggered H2 release. H2 shields and reprograms mitochondria to continuously leak endogenous ·O2−. This dual‐path ROS spatially and temporally disrupts redox homeostasis, inducing persistent oxidative stress for tumor suppression and antitumor immunity,
Mingfan Shi +12 more
wiley +1 more source
Empirical mode decomposition of local field potential data from optogenetic experiments. [PDF]
Oprisan SA +3 more
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
An Empirical Mode Decomposition Fuzzy Forecast Model for Air Quality. [PDF]
Jiang W +5 more
europepmc +1 more source
A phosphorescent dye was designed to fit in a hand‐to‐glove fashion into the 1D‐pore channels of MIL‐68(In). We synthesized MIL‐68(In) as powder and thin films, loaded the dye into the pores with controlled packing, and found that the phosphorescence and quantum yield are enhanced.
Bahram Hosseini Monjezi +12 more
wiley +1 more source
Electrides offer unique opportunities as catalyst supports for hydrogen evolution reactions. This study presents an electride‐supported Ru/Nd2ScSi2 catalyst exhibiting outstanding hydrogen evolution reaction performance and excellent stability. Anionic Ru species on the electride surface facilitate water dissociation and optimize hydrogen adsorption ...
Zhiqi Wang +5 more
wiley +1 more source
Application of Variational Mode Decomposition in Wind Power Fault Diagnosis
As to mode mixing problem of empirical mode decomposition( EMD) and local mean decomposition( LMD) when they are applied to field data decomposition,a new wind turbine fault diagnosis method based on variational mode decomposition( VMD) is put forward ...
Wu Yingjie +2 more
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