Results 61 to 70 of about 190,253 (339)

Random Time‐Space Coding Metasurfaces for Spatial Control of the Temporal Statistics of Electromagnetic Fields

Advanced Science, EarlyView.
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li, Jiang Han Bao, Che Liu, Tie Jun Cui   +3 more
wiley   +1 more source

Spectroscopic Evidence of Edge‐Localized States in an Antiferromagnet Topological Insulator NdBi

Advanced Science, EarlyView.
Using spin‐polarized scanning tunneling microscopy (STM) in conjunction with quasiparticle interference, we successfully identify distinct signatures of the ferromagnetic and antiferromagnetic terminations in NdBi, a rare‐earth monopnictide exhibiting non‐trivial topology and magnetism. We demonstrate that step edges on ferromagnetic surfaces host well‐
Avior Almoalem, Rebecca Chan, Brinda Kuthanazhi, Juan Schmidt, Jose A. Moreno, Hermann Suderow, Paul Canfield, Taylor L. Hughes, Vidya Madhavan   +8 more
wiley   +1 more source

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

SA-Encoder: A Learnt Spatial Autocorrelation Representation to Inform 3D Geospatial Object Detection

Remote Sensing
Contextual features play a critical role in geospatial object detection by characterizing the surrounding environment of objects. In existing deep learning-based studies of 3D point cloud classification and segmentation, these features have been ...
Tianyang Chen, Wenwu Tang, Shen-En Chen, Craig Allan   +3 more
doaj   +1 more source

Spatial Analysis and Risk Assessment Model Research of Arthritis Based on Risk Factors: China, 2011, 2013 and 2015

IEEE Access, 2020
Arthritis is a public health issue that is of global concern. Arthritis is one of the chronic diseases with a high incidence of middle-aged and older adults.
Zhongda Ren, Kun Yang, Wen Dong
doaj   +1 more source

Does economic geography matter for Pakistan? a spatial exploratory analysis of income and education inequalities [PDF]

Generally, econometric studies on socio-economic inequalities consider regions as independent entities, ignoring the likely possibility of spatial interaction between them. This interaction may cause spatial dependency or clustering, which is referred to
Ahmed, Sofia
core   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

A Majority Theorem for the Uncapacitated p = 2 Median Problem and Local Spatial Autocorrelation

Mathematics
The existing quantitative geography literature contains a dearth of articles that span spatial autocorrelation (SA), a fundamental property of georeferenced data, and spatial optimization, a popular form of geographic analysis.
Daniel A. Griffith, Yongwan Chun, Hyun Kim   +2 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing

Advanced Science, EarlyView.
We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia, Heming Lin, Hongliang Chang, Wenqing Niu, Yue Wang, Hang Lu, Abdullah AlQuwayzani, Yara Banda, Long Chen, Qingxiao Wang, Bambar Davaasuren, Mohamed Ben Hassine, Tien Khee Ng, Boon S. Ooi   +13 more
wiley   +1 more source