A new approach to estimate neighborhood socioeconomic status using supermarket transactions and GNNs by Eduardo Cruz, Monica Villavicencio, Carmen Vaca, Lisette Espín-Noboa, Nervo Verdezoto

“…Using customer consumption data, we created a basket graph and fed it into a graph neural network to predict neighborhood socioeconomic status. The model was trained with spectral and spatial convolutional filters using cross-validation to select the best approach for the prediction. …”
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Panoramic video coding based on spherical distortion with spatio-temporal dependency by Xu YANG, Ce ZHU, Hongwei GUO, Lei LUO

“…The planar coding distortion, which affects objective quality, and spherical distortion, which affects subjective quality, as well as existing independent rate-distortion optimization techniques that fail to consider the temporal propagation of spherical distortion and its impact on coding performance, result in coding performance degradation.To address these issues, a spatio-temporal dependent spherical distortion model was proposed for optimizing panoramic video coding.Firstly, a spatial mapping model was proposed to map spherical distortions to coding distortions, aiming to align subjective and objective quality assessments.Secondly, a temporal propagation model for spherical distortions was introduced to enhance the overall coding performance of all coding units in the propagation chain.Finally, the coding parameters were adjusted by computing the weights for spatial mapping and temporal propagation of spherical distortions.Experimental results demonstrate that, under low-delay encoding configurations, compared to the VTM14.0, a state-of-the-art video coding benchmark, the proposed algorithm achieves an average bitrate savings of 7.4% (up to 22.1%) and reduction in coding time of 9%.…”
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Explainable Machine Learning for Mapping Rainfall-Induced Landslide Thresholds in Italy by Xiangyu Shao, Wenjun Yan, Chaoying Yan, Wen Zhao, Yixuan Wang, Xia Shi, Hongchang Dong, Tianjiang Li, Junpo Yu, Peng Zuo, Zeyu Zhou, Jiming Jin

“…Explainable machine learning methods can address these challenges, but they are rarely applied to rainfall threshold modeling. In this study, we compared the performance of an empirical statistical model and machine learning models for predicting rainfall-induced landslides in Italy. …”
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Toward low-carbon agriculture: measurement and driver analysis of agricultural carbon emissions in Sichuan province, China by Wenxiu Zhang, Yang Shen

“…IntroductionAgricultural carbon emission reduction is the meaning of realizing the goal of double carbon, and Sichuan province, as one of the main grain producing areas in China, it is urgent to realize agricultural carbon reduction.MethodsBased on the data of 18 cities in Sichuan province from 2000 to 2022, this paper calculates the total agricultural carbon emission and carbon emission intensity in Sichuan province by using IPCC guidelines, and measures its temporal, spatial evolution trend and regional differences, and further evaluates the driving factors by using fixed effect model.ResultsThe results show that: (1) The total quantity of agricultural carbon emissions in Sichuan province has increased, but the carbon intensity has decreased, among which agricultural carbon emissions caused by agricultural land planting and residents’ life are the main carbon sources; (2) The regional differences of agricultural carbon emissions in Sichuan province are narrowing, among which the gap between groups is the root of the regional differences of agricultural carbon emissions, which shows that the agricultural carbon emissions in eastern Sichuan and western Sichuan, eastern Sichuan and southern Sichuan, western Sichuan and southern Sichuan, are quite different; (3) Agricultural carbon emissions in Sichuan province are characterized by agglomeration and spatial spillover, mainly showing a High-High agglomeration mode, but a few cities have changed their agglomeration modes; (4) The agricultural carbon intensity in Sichuan province is influenced by multiple factors. …”
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Control Performance and Preliminary Application Investigation of Novel Rotational Impact Dampers by SHEN Junjie, WANG Jingjing

“…While it is less effective than TMDs under unchanged structural dynamics in rigid structures, the RID maintains stable vibration reduction as structural characteristics vary and does not require increased spatial capacity with load increments. …”
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Towards a geography of plastic fragmentation by Maciej Liro, Anna Zielonka

“…We propose a research agenda that includes mapping fragmentation hotspots, conducting field experiments across environmental gradients, developing integrative modeling approaches, and leveraging spatial management strategies to mitigate secondary microplastic release. …”
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Leveraging Deep Learning for Automated Experimental Semivariogram Fitting by Siyu Yu, Lifang Zhao, Shaohua Li

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Pre-adopting new urban areas to climate change with coastal Nature-based solutions by Haoqi Wang, Baolong Han, Tong Wu, Felix Leung, Yingqi Ren

“…Notably, combining NbS with urbanization achieves a 7.52% reduction, demonstrating the efficacy of preemptive spatial planning. …”
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Fire evacuation strategies for traditional public markets in an aging society by Chih-Hao Hsu, Carol C. Wu, Kai-Min Liao

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Lightweight and efficient skeleton-based sports activity recognition with ASTM-Net. by Bin Wu, Mei Xue, Ying Jia, Ning Zhang, GuoJin Zhao, XiuPing Wang, Chunlei Zhang

“…First, the Activity‑aware Spatial Graph convolution Module (ASGM) dynamically models Activity‑Aware Adjacency Graphs (3A‑Graphs) by fusing a manually initialized physical graph, a learnable graph optimized end‑to‑end, and a dynamically inferred, activity‑related graph-thereby capturing evolving spatial affinities. …”
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Specific features of cognitive skill development in athletes of situational sports by Vyacheslav Romanenko, Yrui Tropin, Leonid Podrigalo, Natalya Boychenko, Anatoly Abdula, Nataliia Sereda, Yaroslav Yatsiv

“…Based on discriminant analysis of the psychophysiological testing results, a model with a predictive accuracy of 72.5% was developed, allowing for the classification of respondents into their respective sport groups (football, judo, taekwondo). …”
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Anomalous Crystalline-Electromagnetic Responses in Semimetals by Mark R. Hirsbrunner, Oleg Dubinkin, F. J. Burnell, Taylor L. Hughes

“…We present a unifying framework that allows us to study the mixed crystalline-electromagnetic responses of topological semimetals in spatial dimensions up to D=3 through dimensional augmentation and reduction procedures. …”
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The value of habitat analysis based on 18F-PSMA-1007 PET/CT images for prostate cancer risk grading by Yang Wang, Hongyue Zhao, Zhehao Lyu, Linhan Zhang, Wei Han, Zeyu Wang, Jiafu Wang, Xinyue Zhang, Shibo Guo, Peng Fu, Changjiu Zhao

“…The AUC values of SUVmax, Habitat 2 spatial proportion, and the combined prediction model were 0.750 (95% CI, 0.597–0.903), 0.716 (95% CI, 0.559–0.873), and 0.823 (95% CI, 0.694–0.951), respectively. …”
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The role of chromosomal rearrangements, polyploidy, and genome size variation in the diversity and ecological distribution of Asparagus L. species: a landscape cytogenetics meta-an... by Parisa Fouroutan, Masoud Sheidai, Fahimeh Koohdar

“…We used Bioclim and Maxent species distribution models (SDMs) to predict and identify areas suitable for selected Asparagus species in response to climate change by 2050. …”
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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

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Quantitative Analysis of Vertical and Temporal Variations in the Chlorophyll Content of Winter Wheat Leaves via Proximal Multispectral Remote Sensing and Deep Transfer Learning by Changsai Zhang, Yuan Yi, Shuxia Zhang, Pei Li

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Mechanisms and Optimization of Foam Flooding in Heterogeneous Thick Oil Reservoirs: Insights from Large-Scale 2D Sandpack Experiments by Qingchun Meng, Hongmei Wang, Weiyou Yao, Yuyang Han, Xianqiu Chao, Tairan Liang, Yongxian Fang, Wenzhao Sun, Huabin Li

“…Key controlling factors for gas channeling (injection rate, foam quality, permeability contrast) are identified, and a nonlinear predictive model for plugging strength ((<i>S</i> = 0.70<i>C</i>^0.6 <i>k</i>_r^−0.28) (<i>R</i>² = 0.91)) is established. …”
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Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor by Shuang Du, Hao Tang, Han Chen, Yang Shen, Zhiping Niu, Tianyi Chen, Jing Wei, Xia Meng, Wen Su, Qun Wu, Yongqiang Tan, Jing Cai, Zhuohui Zhao

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The Evolution of Secondary Territory, inside the Dezful Houses by Alireza Einifar, Azadeh Aghalatifi, Zeinab Hayati

“…Investigations in the secondary ‎territories in the houses of Dezful indicate the reduction of spatial diversity, ‎from open space, semi-open space, and closed space to a completely closed space. …”
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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…The study is based on the analysis of extensive literature materials that reveal the main theoretical and methodological provisions of the analysis of educational migrations. Their strengths and weaknesses have been established, the need to develop new approaches related to identifying the spatial aspects of international student migration has been proved.Results of the study and their discussion. …”
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