Results 211 to 220 of about 123,539 (262)

Room‐Temperature Magnetic Skyrmions and Intrinsic Anomalous Hall Effect in a Nodal‐Line Kagomé Ferromagnet MnRhP

Advanced Science, EarlyView.
MnRhP has been identified as a novel kagomé magnet that hosts magnetic skyrmions above room temperature and exhibits a large intrinsic anomalous Hall effect. The latter originates from Berry curvature associated with gapped nodal lines, establishing MnRhP as a promising platform for exploring high‐temperature topological phenomena in both real and ...
Kosuke Karube, Ming‐Chun Jiang, Lukas Keller, Jonathan S. White, Yi Ling Chiew, Xiuzhen Yu, Guang Yu Guo, Ryotaro Arita, Yoshinori Tokura, Yasujiro Taguchi   +9 more
wiley   +1 more source

DGSite: A Well-Calibrated Deep Learning Framework for Protein-RNA Binding Site Prediction. [PDF]

ACS Omega
Zeng X, Zhao L, Wang H, Zhou D, Cheng Y, Shi S.   +5 more
europepmc   +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

Lightweight residual graph augmented transformer for cassava leaf disease recognition using spectral directional features. [PDF]

Sci Rep
Satheesh T, Geetha Devasena MS.
europepmc   +1 more source

Cryoablation Activates the cGAS–STING‐CXCL10 Axis in Macrophages to Enhance Anti‐Tumor Immunity in NSCLC

Advanced Science, EarlyView.
Tumor dsDNA released by cryoablation is taken up by macrophages, activating the cGAS‐STING signaling pathway. This leads to an expansion of the CXCL10+ macrophage pool and increased secretion of CXCL10, which in turn recruits CXCR3+ T cells from draining lymph nodes into the tumor microenvironment to exert anti‐tumor effects.
Xinxin Zhi, Zhengcao Xing, Libo Luo, Jiale Wang, Xinyu Liu, Jia Yu, Jizhong Yin, Bin Chen, Yiwei Liu, Hui Sun, Guanghui Gao, Lei Wang, Xiaoxia Chen, Fei Li, Hu Ma, Lin Wang, Shuo Yang, Shengxiang Ren   +17 more
wiley   +1 more source

Skeleton motion topology-masked prediction and contrastive learning for self-supervised human action recognition. [PDF]

Sci Rep
Hui Y, Li F, Hu X, Guo X, Shen C.
europepmc   +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

MHAFR-DDI: a multimodal hierarchical attention fusion and relation-aware architecture for drug-drug interaction event prediction. [PDF]

Brief Bioinform
Li M, Cao C, Zou Q, Wei L, Wang Y.
europepmc   +1 more source

PRELID1 and VDAC3 Coordinate a Senescence‐Like State in Germinal Center B Cells to Promote IL‐7–Driven Antitumor Immunity in Colorectal Cancer

Advanced Science, EarlyView.
Colorectal cancer is characterized by an immunosuppressive microenvironment that limits immunotherapy efficacy. We identify a senescence‐like state in germinal center B cells driven by the PRELID1–VDAC3 axis, which promotes IL‐7 secretion, alleviates CD8+ T‐cell exhaustion, and enhances antitumor immunity. Targeting this pathway improves responsiveness
Yuhan Liao, Huimeng Xu, Xinghua Zhuo, Shupeng Hu, Lanhui Huang, Zhe Hao, Jianxiong Chen, Yulu Wang, Jun Zhou   +8 more
wiley   +1 more source

Molecular Motif Learning as a pretraining objective for molecular property prediction. [PDF]

Nat Commun
Liu Z, Wang C, Zheng S, Wu C, Feng H, Xu L, Zheng Y, Rong L, Li P.   +8 more
europepmc   +1 more source