Results 81 to 90 of about 1,891 (207)

Molecular Functions and Drug Prediction of MMP1 and TGFBR2 in Nasopharyngeal Carcinoma

Journal of Clinical Laboratory Analysis, EarlyView.
MMP1 and TGFBR2 were validated by machine learning and external datasets as the candidate genes. Dexamethasone showed strong binding affinity to MMP1 (−7.72 kcal/mol) and TGFBR2 (−7.27 kcal/mol) in docking studies. Knockdown of MMP1 repressed the malignant phenotypes of NPC cells.
Feng Wang, Binbin Ge, Ming Li, Xiaochun Xia, Fuming Zhang, Pengqin Xu   +5 more
wiley   +1 more source

Arsonic Acid Functional Polymers Enable Stabilization of Iron Oxide Nanoparticles in Aqueous Solution

Macromolecular Rapid Communications, EarlyView.
Arsonic acid containing diblock copolymers are developed to incorporate arsonic acid moieties for surface anchoring to IONPs, along with water soluble PEG blocks to impart colloidal stability in aqueous environments. The resulting polymer‐coated IONPs are evaluated for stability in physiological media and cytocompatibility.
Nhu Thao Huynh, Alexander Rajakanthan, Jurie Tashkandi, Rafia Rafique, Milad Ghorbani, Zihnil A. I. Mazrad, Nicole M. Warne, Kiyonori Suzuki, Karen Alt, Paul Wilson, Kristian Kempe   +10 more
wiley   +1 more source

Open Set Recognition and Category Discovery Framework for SAR Target Classification Based on K-Contrast Loss and Deep Clustering

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar automatic target recognition (SAR ATR) has been widely studied in recent years. Most ATR models are designed based on the traditional closed-set assumption.
Mingyao Chen, Jing-Yuan Xia, Tianpeng Liu, Li Liu, Yongxiang Liu   +4 more
doaj   +1 more source

Processability Assessment of Recycled Polymeric Nonwoven Materials in Injection Molding, Film Extrusion and Additive Manufacturing

Polymer Engineering &Science, EarlyView.
Recycled nonwoven face masks are transformed into polymer feedstocks for injection molding, film extrusion, and additive manufacturing. Rheological behavior links composition to processability, enabling material selection and blending strategies.
Daniele Battegazzore, Fulvia Cravero, Giulia Bernagozzi, Rossella Arrigo, Alberto Frache   +4 more
wiley   +1 more source

Automatic Target Recognition for Hyperspectral Imagery

, 2012
Automatic target detection and recognition in hyperspectral imagery offer passive means to detect and identify anomalies based on their material composition.
Friesen, Kelly D.
core  

Polarimetrically persistent scatterer based automatic target recognition

, 2010
Reliable Automatic Target Recognition (ATR) systems based on ISAR images require a robust feature selection. An ATR system based on polarimetric ISAR (Pol-ISAR) images has been recently proposed that extracts bright scatterers and uses their polarimetric
Capria, A., Giusti, E., Martorella, M.; id_orcid   +2 more
core   +1 more source

Image Matting for Automatic Target Recognition

, 2019
Features used in the classification of targets are generally based on the shape or gray-level information of the preprocessed target chip. Consequently, the performance of an automatic target recognition (ATR) system critically depends on the ...
Cho, Young-Rae, Song, Woo-Jin, Kim, Byoung-Kwang, Cho, Hyun-Woong   +3 more
core   +1 more source

Robust β‐myrcene block copolymer elastomeric vitrimers

Polymer International, EarlyView.
Myrcene‐based vitrimeric elastomers were compared: statistical (poly(styrene‐stat‐myrcene‐stat‐AAEMA)] versus ‘hard–soft’ diblock (poly(styrene)‐block‐poly(myrcene‐co‐AAEMA)). The diblock's ability to anchor the glassy poly(styrene) blocks in a self‐assembled microstructure was effective – leading to four times higher tensile stress and ten times ...
Chong Yang Du, Farhad Asempour, Milan Marić   +2 more
wiley   +1 more source

Out-of-Distribution Knowledge Inference-Based Approach for SAR Imagery Open-Set Recognition

Remote Sensing
The efficacy of data-driven automatic target recognition (ATR) algorithms relies on the prior knowledge acquired from the target sample set. However, the lack of knowledge of high-value unknown target samples hinders the practical application of existing
Changjie Cao, Ying Yang, Zhongli Zhou, Bingli Liu, Bizao Wu, Cheng Li, Yunhui Kong   +6 more
doaj   +1 more source

Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

Remote Sensing, 2018
This paper presents a novel double weight-based synthetic aperture radar (SAR) and infrared (IR) sensor fusion method (DW-SIF) for automatic ground target recognition (ATR).
Sungho Kim, Woo-Jin Song, So-Hyun Kim
doaj   +1 more source