Results 91 to 100 of about 57,099 (266)

Information extraction using optical and radar remote sensing data fusion

open access: yes, 2012
Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection.
Palubinskas, Gintautas   +2 more
core  

Tailoring Successive Magnetic‐Dielectric Synergy for Enhancing Electromagnetic Absorption in Ultralong Heterostructure Chains Assisted by High Static Magnetic Field

open access: yesAdvanced Science, EarlyView.
This work proposes a high static magnetic field (HSMF) driven dual‐low‐dimension strategy for fabricating magnetic‐dielectric heterostructure (Fe3O4@MoS2) chains with programmable lengths. The constructed successive magnetic‐dielectric synergy, arising from uniaxial anisotropy‐enhanced magnetic response and abundant heterointerfaces that boost ...
Zhuolin Li   +5 more
wiley   +1 more source

Automotive Radar Target Detection in Widely Separated and Distributed Aperture Radar Systems

open access: yes
peer reviewedThis paper presents an approach to target detection in automotive radar systems, where the highly dynamic nature of the sensor platform and environment, along with challenges such as hardware cost and installation constraints, necessitates a
OTTERSTEN, Björn   +3 more
core   +1 more source

Spatially Separated Redox Centers in One‐Dimensional Sp2‐Carbon Covalent Organic Frameworks Enable Synergistic Photocatalytic Palladium Recovery and Bisphenol A Mineralization

open access: yesAdvanced Science, EarlyView.
A one‐dimensional sp2‐carbon covalent organic framework with spatially segregated redox centers integrates a dual photosensitizing system and a cationic interface for synergistic photocatalysis. The material achieves exceptional palladium recovery (1749 mg g−1) and bisphenol A mineralization (0.1710 min−1) without sacrificial agents, demonstrating ...
Yi‐Ru Chen   +9 more
wiley   +1 more source

Technology of Radar Detection

open access: yesJournal of Electronic Research and Application
Radar detection technology utilizes radio waves for target detection, localization, and identification. It involves emitting electromagnetic waves and receiving the reflected echoes from targets,   then analyzing the echo characteristics to obtain target information.
Rui Hu   +4 more
openaire   +1 more source

WTAP‐Mediated m6A Modification Targets the LRP1‐Lipid Metabolism Axis to Regulate Joint Cartilage Regeneration

open access: yesAdvanced Science, EarlyView.
WTAP drives cartilage regeneration by activating an LRP1‐dependent lipid metabolic program in macrophages, enhancing IL‐10 and TGF‐β secretion to promote chondrogenic differentiation. Leveraging this mechanism, virtual screening identifies LRP1‐targeting compounds that effectively stimulate cartilage repair, highlighting a druggable epigenetic ...
Chenyan Huang   +6 more
wiley   +1 more source

A Novel Approach Based on Acceptor–Donor–Acceptor Type Molecules Enhances the Therapeutic Efficacy and Safety of Photothermal Therapy for Osteosarcoma

open access: yesAdvanced Science, EarlyView.
Jin et al. developed IEICO‐F nanoparticles with enhanced photothermal conversion efficiency via optimized push‐pull effect. Under 808 nm laser, these nanoparticles effectively generated heat to kill osteosarcoma cells and exhibited significant tumor suppression in vivo. Therefore, this novel A‐D‐A type molecule‐based photothermal therapy strategy holds
Zhijian Jin   +9 more
wiley   +1 more source

Initial investigations into achievable target detection performance in sea clutter with fully polarimetric radar

open access: yes, 2022
6 S.The use of full (quad) polarisation to improve target detection performance in sea clutter compared to single polarisation radar is explored. For surveillance (search) radar, little information is available in open literature dealing with the ...
Cilliers, J.E.   +3 more
core  

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

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