Results 101 to 110 of about 103,056 (292)

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

High-speed optical synthetic aperture radar target recognition system

The Journal of Engineering, 2019
With the development of synthetic aperture radar (SAR), it is more and more important to recognise the image obtained by SAR. SAR is a useful tool for geoscience and remote sensing, and there are a large amount of SAR images and products.
Baozhang Yang, Jiacheng Ma, Yesheng Gao, Lei Liu, Xingzhao Liu   +4 more
doaj   +1 more source

Modern Synergetic Neural Network for Synthetic Aperture Radar Target Recognition. [PDF]

Sensors (Basel), 2023
Wang Z, Li H, Ma L.
europepmc   +1 more source

Highly Biomimetic Ectodermal Epithelial Organoids for Epithelial Barrier Stimulation Assays

Advanced Science, EarlyView.
ABSTRACT Evaluating the potential toxicity of pharmaceuticals and biomaterials to ectodermal epithelia, such as the oral mucosa and skin, is indispensable in pre‐clinical assessments. However, this remains a challenge primarily owing to the lack of physiologically relevant and accurate screening models.
Yiming Chen, Yuman Li, Chenyu Deng, Leran Li, Zhewen Hu, Boon Chin Heng, Yuting Niu, Shiyu Sun, Min Gao, Xiaopei Chi, Ying He, Mingming Xu, Ying Huang, Xuliang Deng   +13 more
wiley   +1 more source

Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery

, 2018
Classifying buried and obscured targets of interest from other natural and manmade clutter objects in the scene is an important problem for the U.S. Army.
Guo, Tiantong, Monga, Vishal, Nguyen, Lam, Vu, Tiep   +3 more
core   +1 more source

A Nanobody‐LNP Platform for Targeting and Relicensing Dendritic Cells for Potent Cancer Immunotherapy

Advanced Science, EarlyView.
Plastin‐2 (PLS2) is identified as a dual‐function receptor on DCs that mediates both nanoparticle uptake and immunomodulation. A nanobody‐LNP platform is engineered to integrate antigen delivery with relicensing DCs. The therapeutic strategy elicits potent anti‐tumor T cell responses and leads to significant inhibition of established tumors in vivo ...
Shugang Qin, Zhiying Huang, Hai Huang, Yupei Zhang, Yuting Chen, Xi He, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Xiangrong Song   +9 more
wiley   +1 more source

Polarization Scattering Regions: A Useful Tool for Polarization Characteristic Description

Remote Sensing
Polarimetric radar systems play a crucial role in enhancing microwave remote sensing and target identification by providing a refined understanding of electromagnetic scattering mechanisms.
Jiankai Huang, Jiapeng Yin, Zhiming Xu, Yongzhen Li   +3 more
doaj   +1 more source

A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection

Advanced Science, EarlyView.
A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang, Jiahao Li, Zhuying Yue, Beixuan He, Wenhua Zhang, Zhen Fang, Qing Xia, Yingbin Liu, Yanjing Li   +8 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Radar high-resolution range profile recognition via multi-SV method

The Journal of Engineering, 2019
The radar high-resolution range profile (HRRP) is of great significance for target recognition in the ground compound environment. As two essential processes of HRRP target recognition, discrimination and classification performance improvement are ...
Long Li, Jie Jiang, Zheng Liu
doaj   +1 more source