Results 111 to 120 of about 574,424 (277)

Passivation‐Induced Species Dynamics and Microstructural Evolution in Solid‐State Lithium–Sulfur Cathodes

Advanced Science, EarlyView.
The formation of insulating Li2S during discharge in solid‐state lithium–sulfur batteries passivate reaction sites and limits sulfur utilization. In this work, a microstructure‐resolved modeling framework coupling transport and reaction kinetics is developed to predict charge–discharge behavior and reveal particle‐scale species evolution and incomplete
Arpan K. Sharma, Bairav S. Vishnugopi, Elif Pınar Alsaç, Matthew T. McDowell, Partha P. Mukherjee   +4 more
wiley   +1 more source

Modeling and Control Simulation of Vertical Motion PMLSM

Gong-kuang zidonghua, 2010
A mathematical model of PMLSM was established on the basis of foundational motor theory, the method of establishing rotating motor's mathematical model and PMLSM′s characteristics.
ZHANG Zong-sheng, CUI Jian-ming
doaj  

Connexin 43‐Enriched Vesicles Improve Synchronization in hiPSC‐Derived Cardiomyocytes

Advanced Science, EarlyView.
Plasma membrane‐derived Connectosomes enriched in connexin‐43 are produced from donor hiPSCs and applied to hiPSC‐derived cardiomyocytes (hiPSC‐CMs). Connexin‐43 channels on Connectosomes remain functional, strengthening intercellular electrochemical coupling and increasing network synchronization over time.
Nima Momtahan, Anna K. McClain, Andrea Trementozzi, Sogu Sohn, Lingxia Qiao, Chi Zhao, Padmini Rangamani, Jeanne C. Stachowiak, Janet Zoldan   +8 more
wiley   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

Advanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi, Pierre Parutto, Yuyi Zhang, Tasuku Konno, Cecile Crapart, Raquel Pereira, John P. Franklin, Mosab Ali Awadelkareem, Daniel C Maddison, Michael J. Devine, Edgar R. Gomes, Joseph Chambers, Elena Koslover, Edward Avezov   +13 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

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

Advanced 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, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Nanocurvature‐Activated Dipolar Polarization in M–N4 Single‐Atom Sites for High‐Performance Electromagnetic Wave Absorption

Advanced Science, EarlyView.
Increasing nanocurvature effectively enriches the local electron density of the M–N4 motif, which facilitates electron transfer from the metal center to nitrogen atoms. This electronic behavior intensifies the localization and asymmetric distribution of charge, thereby significantly amplifying the dipole moment and polarizability.
Daohu Sheng, Siyao Cheng, Mengmeng Zhang, Jinglei Zhang, Xufei Zhu, Weijin Li, Bo Zhang, Aming Xie   +7 more
wiley   +1 more source

the fourth edition of complete model to describe a mathematical universe

, 2023
( the abstract) Subject: Mathematical Scientific Paper. Scope: Abstract Algebra and Quantum field theory and general relativity Achieved Result to discuss: Complete model to describe a mathematical universe. It gives me great pleasure to discuss/ present a different and unique perspective to describe a complete model for a mathematical universe ...
openaire   +2 more sources