Spacecraft measurements constraining the spatial extent of a magnetopause reconnection X line by B. M. Walsh, C. M. Komar, Y. Pfau‐Kempf

“…Each model predicts a continuous X line passing close to the two spacecraft, suggesting both would observe reconnection, if active. …”
Get full text

Spatial Quality Control Method for Surface Temperature Observations Based on Multiple Elements by Xiaoling Ye, Xing Yang, Xiong Xiong, Shuai Yang, Yang Chen

“…The results show that using PCA to analyze the elemental composition and select elements with high correlation factors, as well as applying the Random Forest algorithm, can effectively reduce the run time and keep the accuracy of the model. The training sample dependence, model prediction accuracy and error detection rate of the PCA-RF model are superior to those of the Spatial Regression method. …”
Get full text

Spatial Dynamics and High Risk Transmission Pathways of Poliovirus in Nigeria 2001-2013. by Tara D Mangal, R Bruce Aylward, Faisal Shuaib, Michael Mwanza, Muhammed A Pate, Emmanuel Abanida, Nicholas C Grassly

“…The best-fitting spatial model was the radiation model, outperforming the simple distance and gravity models (likelihood ratio test P < 0.05), under which the number of people estimated to move from an infected LGA to an uninfected LGA was strongly associated with the incidence of poliomyelitis in that LGA. …”
Get full text

SPADE: A spatial information assisted collision distance estimator for robotic arm by Jiakang Zhou, Yue Cao, Yu-Xuan Ren, Steve Feng Shu

“…With evaluation in both static and dynamic environments, our model shows higher prediction accuracy than multiple baselines, and higher accuracy can be corroborated by experiment with our model under the premise of equal inference efficiency. …”
Get full text

Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context by Xiaoqing Song, Yi Long, Ling Zhang, David G. Rossiter, Fengyuan Liu, Wei Jiang

“…The RF model can estimate the spatial accuracy of the MPL data within narrow margins of error. …”
Get full text

MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction by Feng Gao, Jiaen Fei, Yuankang Ye, Chang Liu

“…However, statistical analysis reveals that temperature evolution varies across temporal and spatial scales due to factors like terrain, leading to a lack of existing temperature prediction models that can simultaneously learn both large-scale global features and small to medium-scale local features over time. …”
Get full text

Aquifer vulnerability assessment in data-scarce areas: a spatially explicit assessment by Changhyun Jun, Dongkyun Kim, Sayed M. Bateni, Meghdad Biyari, Ely Salwana, Farzaneh Sajedi Hosseini, Amir Mosavi, Hao-Ting Pai, Bahram Choubin

“…Consequently, this study investigates and predicts spatial variations in groundwater quality and vulnerability within a data-scarce area by applying efficient machine learning methods that compensate for the limited availability of quality groundwater data. …”
Get full text

Element Nucleosynthetic Origins from Abundance Spatial Distributions beyond the Milky Way by Zefeng Li, Mark R. Krumholz, Anna F. McLeod, A. Mark Swinbank, Emily Wisnioski, J. Trevor Mendel, Francesco Belfiore, Giovanni Cresci, Giacomo Venturi, Jia-Lai Kang

“…These findings both open a new avenue to test nucleosynthetic models and make predictions for the structure of stellar chemical abundance distributions.…”
Get full text

Spatial co-distribution of tuberculosis prevalence and low BCG vaccination coverage in Ethiopia by Haileab Fekadu Wolde, Archie C. A. Clements, Beth Gilmour, Kefyalew Addis Alene

“…A Bayesian geostatistical model was built to identify the drivers for the spatial distribution of TB prevalence and low BCG vaccination coverage. …”
Get full text

Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information by Yiqiong Yang, Yitian Yuan, Baoxing Ren, Ye Wu, Yanqiu Feng, Xinyuan Zhang

“…This is largely due to their reliance on local information to predict long-range streamlines. To improve the accuracy of streamline propagation predictions, we introduce a novel deep learning framework that integrates image-domain spatial information and anatomical information along tracts, with the former extracted through convolutional layers and the latter modeled via a Transformer-decoder. …”
Get full text

Spatial distribution of population and forest cover in extractive reserves in the Amazon biome, Brazil by Álvaro de Oliveira D’Antona, Julia Correa Côrtes, José Diego Gobbo Alves, Guilherme Pelegrina, Leonardo Tomazeli Duarte

“…Abstract This study relates spatial measures of forest cover with measures of the spatial distribution of the population in the 31 Extractive Reserves (ERs) within the Amazon biome, Brazil, in 2010. …”
Get full text

Optimization for Mars Rotorcraft Blade: Weighted Ensemble Neural Networks and Spatial Discretization by Haoyu Zheng, Bo Tang, Qiquan Quan, Kaiyi Wang, Dewei Tang, Zongquan Deng

“…This paper integrates the aforementioned 4 models using a weighted ensemble method. Building on the concept of spatial discretization, this paper simplifies infinite parameter combinations into finite ones. …”
Get full text

Investigation on spatial variability and influencing factors of drinking water iodine in Xinjiang, China. by Zhen Yang, Chenchen Wang, Yanwu Nie, Yahong Sun, Maozai Tian, Yuhua Ma, Yuxia Zhang, Yimu Yuan, Liping Zhang

“…The distribution of iodine content in drinking water in Xinjiang is described from three perspectives: sampling points, districts/counties, and townships/streets. ArcGIS was used for spatial auto-correlation analysis, mapping the distribution of iodine content in drinking water and visualizing the distribution of Geographically Weighted Regression (GWR) model parameter. …”
Get full text

A Spatially-Informed Healthy Location Index for Assessing Urban Living Environment by Anu Rai, Kasturi Adhikary, Debisha Ghosh, Mohor Samaddar, Hrileena Chowdhury, Sayanika Si

“…Taking Kolkata, India, as a case study, the HLI incorporates factors such as green and blue spaces, built-up density, air quality, and the distribution of alcohol and fast-food outlets to create a spatial model of urban health. The study utilizes remotely sensed and administrative datasets (e.g., Landsat-derived NDVI, NDBI, NDWI, Point-of-Interest data) and validates the HLI against COVID-19 containment zones (June 2020–January 2021) using Receiver Operating Characteristic (ROC) analysis. …”
Get full text

Study of Internal Spatial Temperature Distribution of Lubricating Oil Based on Transmission Spectroscopy by Liangyu Li, Run Zou, Yanzhe Liu, Shiliang Yao, Tiexiong Su

Get full text

Dynamics of spatial phase coherence in a dissipative Bose–Hubbard atomic system by Vatré, Rémy, Bouganne, Raphaël, Bosch Aguilera, Manel, Ghermaoui, Alexis, Beugnon, Jérôme, Lopes, Raphael, Gerbier, Fabrice

“…The observed decay exponent $\alpha \approx 0.54(6) $ is in good agreement with the prediction $\alpha =1/2$ from a dissipative Bose–Hubbard model accounting for the fluorescence-induced decoherence. …”
Get full text

SpaIM: single-cell spatial transcriptomics imputation via style transfer by Bo Li, Ziyang Tang, Aishwarya Budhkar, Xiang Liu, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

“…To address these challenges, we introduce SpaIM, a style transfer learning model that leverages single-cell RNA sequencing (scRNA-seq) data to predict unmeasured gene expressions in ST profiles. …”
Get full text

Spatial and Temporal Soil Moisture Variations over China from Simulations and Observations by Xin Lai, Jun Wen, Sixian Cen, Xi Huang, Hui Tian, Xiaokang Shi

“…The Community Land Model version 4.0 (CLM4.0) driven by the forcing data of Princeton University was used to simulate soil moisture (SM) from 1961 to 2010 over China. …”
Get full text

Spatial neglect after subcortical stroke may reflect cortico-cortical disconnection by Christoph Sperber, Hannah Rosenzopf, Max Wawrzyniak, Julian Klingbeil, Dorothee Saur, Hans-Otto Karnath

“…Although spatial neglect was also repeatedly observed after lesions to the basal ganglia and the thalamus, many anatomical network models omit these structures. …”
Get full text

Spatial analysis of teen births near the New Bedford Harbor Superfund site by Nicole V DeVille, Carolina Villanueva, Susan A Korrick, Verónica M Vieira

Get full text