Results 81 to 90 of about 20,947 (264)

Interdisciplinary approaches based on imaging radar enable cutting-edge cultural heritage applications. [PDF]

Natl Sci Rev, 2021
Chen F, Guo H, Tapete D, Masini N, Cigna F, Lasaponara R, Piro S, Lin H, Ma P.   +8 more
europepmc   +1 more source

Multiscale Spatial Fusion Feature‐Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes

Advanced Science, EarlyView.
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng, Xiaomiao Chai, Peng Jin, Xin Xin, Yingjie Li, Chun Yang, Jia Wei, Zishuo Yan, Jingyu Zhang, Qianning Zhao, Yingchen Han, Ning Zhang, Fuze Li, Bo Qiao, Huan Wang, Huachuan Zheng, Yan Li, Xin Zhang, Yan Zhao, Wenjun Mao, Jing Zhang   +20 more
wiley   +1 more source

Efficient Adsorption‐Based Direct Air Capture Via Triply Periodic Minimal Surface Architectures

Advanced Science, EarlyView.
Architected triply periodic minimal surface (TPMS) contactors reshape direct air capture by replacing straight‐channel diffusion limits with convection‐enhanced CO2 transport. Chaotic advection thins boundary layers and exposes fast adsorption sites, enabling 70%–75% more fast sites, 114% higher productivity, and 51.8% lower energy consumption than ...
Qingyang Shao, Zhuozhen Gan, Chengcheng Long, Man Zhang, Yihe Miao, Yuehui Li, Xuancan Zhu   +6 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Modified MXene Aerogel With Broadband Microwave Absorption Inspired by Melanophila Acuminata Beetle

Advanced Science, EarlyView.
This work introduces a novel biomimetic strategy inspired by the infrared‐sensing sensilla of the Melanophila acuminata beetle. We have designed a multi‐level aerogel, featuring a three‐dimensional carbon framework decorated with synergistic CeO2 nanoparticles and Ti3C2Tx MXene nanosheets.
Zhiwei Liu, Dingyu Xu, Zhaobo Liu, Haitian Song, Qianqian Zhang, Junxiao Zhou, Xiewen Wen   +6 more
wiley   +1 more source

A Novel Method to Identify the Spaceborne SAR Operating Mode Based on Sidelobe Reconnaissance and Machine Learning

Remote Sensing
Operating mode identification is an important prerequisite for precise deceptive jamming technology against synthetic aperture radar (SAR). In order to solve the problems of traditional spaceborne SAR operating mode identification, such as low ...
Runfa Ma, Guodong Jin, Chen Song, Yong Li, Yu Wang, Daiyin Zhu   +5 more
doaj   +1 more source

Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar

International Journal of Antennas and Propagation, 2015
Low SNR condition has been a big challenge in the face of distributed compressive sensing MIMO radar (DCS-MIMO radar) and noise in measurements would decrease performance of radar system.
Yu Tao, Gong Zhang, Jindong Zhang
doaj   +1 more source

Rare‐Earth–Sulfur Surface Modification Enables SiC Ceramics for Low‐Frequency Electromagnetic Wave Absorption in Extreme Environments

Advanced Science, EarlyView.
By altering surface chemical bonds to prolong relaxation time and shift absorption to lower frequencies, SiC/rare earth–sulfur (RE─S, RE = La, Ce, Pr, Sm, Gd, Er) materials achieve excellent low‐frequency electromagnetic wave absorption under extreme conditions, offering a new direction for designing high‐performance SiC‐based absorbers.
Zhanming Wu, Xiaojun Zeng, Yu‐Nan Tan, Chi Yu, Nuohua Xie, Yanfeng Gao   +5 more
wiley   +1 more source

(Fe4N/GaN)@GC: A Bifunctional Electrocatalyst for High‐Performance Rechargeable Zinc‐Air Batteries

Advanced Science, EarlyView.
This work demonstrates that an unprecedented Fe4N/GaN heterostructure, stabilized by a graphitized carbon shell, induces interfacial charge redistribution and optimizes oxygen‐intermediate adsorption, enabling highly efficient bifunctional ORR/OER electrocatalysis for rechargeable zinc‐air batteries.
Xin‐Yuan Wei, Sai‐Sai Xie, Xia‐Li Ding, Yuan‐Qi Zhai, Sen Yu, Xiang‐Quan Hu, Rongqian Wu, Jintao Lu, Yan‐Zhen Zheng   +8 more
wiley   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source