Results 101 to 110 of about 11,440 (262)

Bi-spectral method for radar target recognition [PDF]

, 2006
Target recognition and identification in battlefields has been a crucial determinant to the ultimate success or failure of modern military campaigns. Since World War II, the Identification of Friend or Foe (IFF) systems installed in radar systems have ...
Yeo, Jiunn Wah
core  

Mesenchymal Stromal Cell‐Mediated Intercellular Communication: Mapping the Interactome for Skeletal Muscle Homeostasis and Regeneration

Advanced Science, EarlyView.
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu, Edgar E. Perez Carbajal, Yih‐Chii Hwang, Sahil A. Mapkar, Benjamin W. Gilman, Sarah A. Bliss, Lam B. Tran, Kalgi T. Mehta, Jacob O. Banyasz, Ming Yu, Reynold R. Liu, Matthew N. Ly, Christapher S. Morrissey, Michael N. Wosczyna   +13 more
wiley   +1 more source

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

IEEE Access
Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim   +7 more
doaj   +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

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

Advanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu, Shuhao Chen, Yunheng Diao, Wei Wang, Yuanyuan Huang, Liqin Liang, Xiaodan Lu, Rui Han, Minxin Guo, Zhaobo Li, Shuhong Wang, Hehua Li, Chenyu Liu, Jing Zhou, Dongsheng Xiong, Xiaobo Li, Yuping Ning, Xuetao Shi, Fengchun Wu, Kai Wu   +19 more
wiley   +1 more source

Tumor‐Derived LAMB3 Drives Immunosuppressive LRRC15+ Fibroblast Formation During Pancreatic Ductal Adenocarcinoma Development

Advanced Science, EarlyView.
A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi, Hangqi Liu, Jianru Sun, Xiaoding Liu, Xinping Jv, Longyun Chen, Yuhan Zhang, Hui Zhang, Xudong Xing, Ruiyu Li, Xinyi Ke, Jun Wang, Xianglin Yin, Bohan Liu, Qixian Liu, Yuan Wang, Junliang Lu, Shiyi Liu, Junyi Pang, Yumeng Cai, Menghua Dai, Fan Bai, Huanwen Wu, Zhiyong Liang   +23 more
wiley   +1 more source

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

Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]

, 2013
Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Çetin, Müjdat, Samadi, Sadegh, Masnadi-Shirazi, Mohammad Ali   +2 more
core   +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

Radar target recognition based on open set YOLO [PDF]

, 2022
Automatic target recognition (ATR), both for optical and e.m. images, has been a subject of great interest since the last 20 years. The deep learning breakthrough allowed researchers to improve feature extractors by increasing their complexity and since ...
Ghio, Selenia, Giusti, Elisa, Meucci, Giulio, Martorella, Marco   +3 more
core