Results 61 to 70 of about 3,449 (252)

Single‐Cell Transcriptomic Analysis of Tumor Heterogeneity and the Microenvironment in Pseudomyxoma Peritonei

Advanced Science, EarlyView.
This study presents a single‐cell atlas of pseudomyxoma peritonei spanning primary and paired metastatic lesions. Distinct epithelial substates, stromal remodeling, immune exclusion, lipid metabolic reprogramming, and a candidate angiogenic network were identified in metastatic lesions.
Xi Li, Lei Wang, Lei Ai, Zimeng Li, Zhaochangci Chen, Yuchen Luo, Tianran Zhang, Mengjia Liao, Songhao Wang, Jiajia Cui, Ke Liu, Chengxian Guo, Guodong Liu, Jiye Yin, Wei Wu   +14 more
wiley   +1 more source

Combining the spatiotemporal mobility patterns and MMC for next location prediction of fake base stations

Computational Urban Science
The spatiotemporal mobility patterns and next location prediction of fake base stations (FBS) provide important technical support for the police to prevent spam messages from FBS.
Yufei·Shi, Haiyan Tao, Li Zhuo
doaj   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Multispectral image denoising using sparse and graph Laplacian Tucker decomposition

Computational Visual Media, 2020
Multispectral image denoising is a basic problem whose results affect subsequent processes such as target detection and classification. Numerous approaches have been proposed, but there are still many challenges, particularly in using prior knowledge of ...
Xiaoce Wu, Bingyin Zhou, Qingyun Ren, Wei Guo   +3 more
doaj   +1 more source

Toward Nano‐Nutritional Medicine: A Remotely Activated Trans‐Vaccenic Acid‐Based Lipid Nanoparticles for Enhancing Immune Checkpoint Blockade Therapy

Advanced Science, EarlyView.
Eutectic mixtures from trans‐vaccenic acid (TVA) and stearic acid, which served as phase‐change material to encapsulate IR780, forming NIR‐responsive nanoparticles. IR780@TVA LNPs induce photothermal therapy and initiate adaptive anti‐tumor immunity.
Kang Liu, Yunlong Li, Hanmeng Liu, Peng Zhang, Mingjing Wang, Quanwei Sun, Wenshuo Yang, Zhengwei Song, Song Tan, Ye Yang, Peng She, Dengke Yin, Wei Shen   +12 more
wiley   +1 more source

Tumor Microenvironment‐Responsive Nanoreactor Induces Disulfidptosis in Pancreatic Cancer via Metabolic Interference and Redox Catalysis

Advanced Science, EarlyView.
Schematic illustration of a tumor microenvironment‐responsive nanoreactor for imaging‐guided induction of disulfidptosis in pancreatic cancer via metabolic interference and redox catalysis. (A) Stepwise fabrication of Pht@HMnO2‐HA, including MnO2 growth on a SiO2 template, template removal to form hollow mesoporous MnO2, Pht loading, and subsequent ...
Rui Fu, Qing Li, Guanzhong Zhao, Qingyan Gao, Huantong Chen, Khemayanto Hidayat, Jiaying Xu, Liqiang Qin, Chunhong Hu, Yu Chong, Su Hu   +10 more
wiley   +1 more source

Real‐Time and Non‐Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS)

Advanced Science, EarlyView.
An intelligent odor monitoring system integrates an IVC animal model, gas sensor array, real‐time resistance readout, and machine‐learning analysis to continuously monitor infection‐associated odor changes. The platform captures longitudinal sensor responses, distinguishes infected from healthy states, and supports early‐stage respiratory viral ...
Yajie Shen, Weifeng Yuan, Long Li, Yucheng Zheng, Kenan Liu, Hegeng Li, Hua‐Yao Li, Yongliang Zhao, Binzhou Ying, Lanpeng Guo, Wenjian Zhang, Shu‐Ming Kuo, Zirui Zhang, Yufan Deng, Bohan Yin, Zhaocheng Luo, Ke Xu, Huan Liu   +17 more
wiley   +1 more source

Accelerating the Tucker Decomposition with Compressed Sparse Tensors [PDF]

, 2017
The Tucker decomposition is a higher-order analogue of the singular value decomposition and is a popular method of performing analysis on multi-way data (tensors). Computing the Tucker decomposition of a sparse tensor is demanding in terms of both memory and computational resources.
Smith, Shaden, Karypis, George
openaire   +1 more source

Light‐Activated Ruthenium Nanoclusters Reprogram the Metabolic‐Quorum Sensing Axis for Precision Periodontitis Therapy

Advanced Science, EarlyView.
Under 660 nm visible light, Ru NCs efficiently photocatalyze nitrate‐to‐ammonium conversion and modulate oral nitrogen metabolism. They precisely perturb Veillonella parvula, block its key support to Porphyromonas gingivalis, and exert an “inhibiting without killing” antivirulence effect.
Jing Zhou, Xiaolin Sun, Chengyu Liu, Yujia Shi, Meiqi Li, Meng Bo, Jingjie Zhai, Chunyan Li, Zhennan Wu, Xue Bai, Lin Wang   +10 more
wiley   +1 more source

Bearing Fault Diagnosis Based on Multi-Channel WOA-VMD and Tucker Decomposition

Applied Sciences
To address the challenges that rolling bearing vibration signals are easily affected by noise and that traditional single-channel methods cannot fully exploit multi-channel information, this paper proposes a multi-channel fault diagnosis method combining
Lingjiao Chen, Wenxin Pan, Yuezhong Wu, Danjing Xiao, Mingming Xu, Hualian Qin, Zhongmei Wang   +6 more
doaj   +1 more source