Results 201 to 210 of about 176,047 (281)

All Solid Lithium Metal‐Polymer Battery End‐of‐Life: an Investigation of Symmetric, Battery, and Bilayer Cells

Advanced Science, EarlyView.
In this study, the evolution of the lithium (Li)/polymer interface is compared in a realistic pouch cell configuration, either in Li/Li symmetric cell or in full Li/LiFePO4${\rm LiFePO}_4$ batteries thanks to X‐ray micro‐tomography. While Li/Li symmetric cells are the reference cell for probing the interface stability, results demonstrated that the end‐
Lucile Magnier, Didier Devaux, Jérôme Adrien, Ce Xiao, Philippe Dumaz, Margaud Lécuyer, Marc Deschamps, Eric Maire, Renaud Bouchet   +8 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Targeting WTAP/ROR1/WNT5A‐Mediated Crosstalk Between Glioma Stem Cells and Macrophages to Normalize Tumor Vasculature and Enhance Chemotherapy

Advanced Science, EarlyView.
In hypoxic microenvironment, WNT5A is predominantly secreted by tumor‐associated macrophages. Hypoxia‐induced WTAP mediates ROR1 stability by m6A modifications in a HuR‐dependent manner in Glioma stem cells (GSCs). WNT5A activates the WNT pathway via ROR1 binding on GSCs, driving glioma‐derived endothelial cells (GDECs) differentiation.
Xiaoyong Chen, Bo Pang, Yun Liu, Jiangwei Wang, Lanhui Zheng, Yuzhou Chang, Yingxuan Sun, Haoyuan Sun, Huiyuan Chen, Jiawei Cai, Zanyi Wu, Qing Chang, Yongzhi Wang, Dezhi Kang, Tao Jiang, Ruichao Chai   +15 more
wiley   +1 more source

Endogenous Ceramide 24:1 Constrains Th17‐Driven Neutrophilic Inflammation by Antagonizing EP2 Signaling

Advanced Science, EarlyView.
Cer24:1 levels are reduced in neutrophilic asthma and inversely correlate with disease severity and airway neutrophilia. Restoring Cer24:1 suppresses pathogenic Th17 differentiation by engaging EP2 on CD4+ T cells, thereby dampening the JAK2–STAT3–RORγt axis and reducing IL‐17 production.
Huan Liu, Abudureyimujiang Aili, Zheng Kuang, Liting Cao, Zemin Li, Ying Shang, Yingying Ge, Tingting Hu, Yongchang Sun, Wuli Zhao, Rong Jin, Chun Chang   +11 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Cascade Therapy of Periodontitis via Sequential Release of Ribosome‐Targeting Antimicrobial Peptide and Irisin From a Multifunctional MOF‐Based System

Advanced Science, EarlyView.
This study presents a novel strategy for periodontitis treatment by co‐delivering a membrane‐ and ribosome‐targeting antimicrobial peptide GF and Irisin through a pH‐responsive metal‐organic framework. The system enables sequential release, providing rapid antibacterial action, anti‐inflammatory and antioxidative effects, as well as promoting bone ...
Yan Chen, Zheng Xu, Yunmo Xue, Shanshan Liu, Xiang Zhang, Jingyao Guo, Minhui Yao, Yue Liu, Xiaolin Lu, Jieshu Qian, Qian Ma   +10 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 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

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source