Results 141 to 150 of about 197,948 (294)

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

open access: yesAdvanced Science, EarlyView.
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

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

open access: yesAdvanced Science, EarlyView.
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

open access: yesAdvanced Science, EarlyView.
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

A Hydrogen‐Releasing Nanozyme Engineers a Mitochondrial ROS Amplifier for Self‐Sustaining Catalytic Immunotherapy

open access: yesAdvanced Science, EarlyView.
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]

open access: yesFront Comput Neurosci, 2023
Oprisan SA   +3 more
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

open access: yesAdvanced Science, EarlyView.
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]

open access: yesEntropy (Basel), 2022
Jiang W   +5 more
europepmc   +1 more source

Enhanced Energy Transfer from a Metal–Organic Framework to a Highly Confined Organic Phosphorescent Dye

open access: yesAdvanced Science, EarlyView.
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

Electride‐Induced Electronic Modulation of Ruthenium Catalyst for Highly Efficient Alkaline Hydrogen Evolution

open access: yesAdvanced Science, EarlyView.
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

open access: yesJixie chuandong, 2015
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
doaj  

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