Results 121 to 130 of about 84,699 (302)

Microglia‐Targeted Biomimetic Tetrahedral Framework Nucleic Acid Nanovesicles for Synergistic Treatment of Sepsis‐Associated Encephalopathy

Advanced Science, EarlyView.
Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi, Qiuxia Gao, Wenying Wang, Bin Li, Yukun Chen, Zhijun Yao, Yujie Li, Junrui Li, Na Li, Gong Gu, Zhimin Hou, Mengyuan Yang, Ruilin Zhang, Hongju Yang, Yuhui Liao, Hongyi Lei   +15 more
wiley   +1 more source

A Survey on SAR Ship Classification Using Deep Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning (DL) has become a central approach for ship classification using synthetic aperture radar (SAR) imagery. This survey reviews 74 representative studies selected from 187 publications, categorizing them into a taxonomy with four main ...
Ch Muhammad Awais, Marco Reggiannini, Davide Moroni, Emanuele Salerno   +3 more
doaj   +1 more source

Facial Expression Recognition Using Deep Learning (DL)

International Journal of Scientific Research in Engineering and Management
Abstract - Facial Expression Recognition (FER) plays an important role in intelligent human–computer interaction systems by enabling machines to understand human emotions automatically. This paper presents a deep learning-based facial expression recognition system designed for real-time emotion detection with improved stability and accuracy.
Arpita S. Parsankar, Swati R. Yadav, Saket R. Bobade, Sumit M. Dhopte   +3 more
openaire   +1 more source

Spontaneous Non‐Catalyzed Molecular Reactions and Interactions in the Human Body: Biomedical Implications

Advanced Science, EarlyView.
ABSTRACT The human body functions as a natural reactor for a vast network of chemical and biological reactions and physical interactions among small molecules, proteins, cells, and numerous other components. These reactions/interactions are essential for maintaining normal physiological functions.
Yuhao Cai, Chao Zhao
wiley   +1 more source

A Computational Strategy for Identifying Self‐Assembling Food‐Derived Molecules for Antiparasitic Nanotherapy

Advanced Science, EarlyView.
An integrated computational screening strategy identified ursolic acid (UA) and 18β‐glycyrrhetinic acid (18βGA) as a self‐assembling food‐derived molecular pair. The resulting carrier‐free nanoparticles (UA‐18βGA) showed synergistic antiparasitic activity, reduced combined toxicity, and host‐protective anti‐inflammatory effects in zebrafish and murine ...
Shenye Qu, Ting Wang, Jietao Liu, Jiacheng Qin, Bin Yang, Yihang Liu, Pengfei Li, Gaoxue Wang, Fei Ling   +8 more
wiley   +1 more source

Improving Short-Term and Long-Term Production Forecast Accuracy in Unconventional Reservoirs by Effectively Integrating Static Completion and Well Parameters with Machine Learning and Deep Learning

, 2023
Accurate production forecasts are vital in the petroleum industry for informed decision-making. However, unconventional reservoirs pose significant challenges due to extended transient flow, operational changes, and limited understanding of the effect of
Kocoglu, Yildirim
core  

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

DL-AMC: Deep Learning for Automatic Modulation Classification

Automatic Modulation Classification (AMC) is a signal processing technique widely used at the physical layer of wireless systems to enhance spectrum utilization efficiency. In this work, we propose a fast and accurate AMC system, termed DL-AMC, which leverages deep learning techniques.
Rehman, Faheem Ur, Abbas, Qamar, Shehzad, M. Karam   +2 more
openaire   +2 more sources

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source

Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method. [PDF]

Thorac Cancer, 2020
Qu YH, Zhu HT, Cao K, Li XT, Ye M, Sun YS.   +5 more
europepmc   +1 more source