Quantitative assessment of factors that influence heat vulnerability in residential areas using machine learning and unmanned aerial vehicle by Jawoon Gu, Dongwoo Kim, Chulmin Jun, Seungwoo Son

“…The study site, adjacent to a river and designated as an Urban Regeneration Area, is particularly vulnerable to summer heat.Exploratory data analysis (EDA) was conducted to examine statistical characteristics and spatial patterns, followed by confirmatory data analysis (CDA) using nonlinear regression models such as CatBoost, Random Forest, and XGBoost. …”
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Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images by Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu

“…These high-dimensional features are then segmented, and enhanced channel and spatial features are obtained via attention mechanisms, effectively mitigating background interference and intra-class ambiguity. …”
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Validation of Atmospheric Wind Fields from MIGHTI/ICON: A Comprehensively Comparative Analysis with Meteor Radars, FPI and TIMED/TIDI by Dini Gong, Shengyang Gu, Yusong Qin, Na Li, Yiding Chen, Wei Yuan, Yafei Wei

“…Finally, we present, for the first time, the spatial structure of a five-day wave that occurred in March 2020.…”
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Assessing the Resilience of Rural Settlements in Mahneshan Township Against Food Insecurity in Drought Conditions by Masumeh Mohammadlo, Abdolreza Rahmani Fazli, Jila Sajjadi, Mehdi Cheraghi

“…Data collection was carried out through library research and field observations, while data analysis was performed using spatial analysis tools within the GeoDa software. …”
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Evaluation of the Statistical Distribution of Indexes of the Structure of Budget Investments by N. N. Kovalenko

“…The practical significance of the study consists in a proven assessment of the statistical distribution of indexes of the structure of budget investments by the share of budget investments in the total volume of investments in fixed assets (own and attracted funds), as well as by budget levels (federal, regional and local levels), identified spatial and dynamic changes in the selected cluster groups of the Russian Federation regions. …”
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Temporal and habitat-specific variations in drivers of aboveground biomass dynamics in a Chinese subtropical forest by Yuxuan Bian, Qi Wu, Rong Zheng, Jiaqin Fu, Jianhua Chen, Xiangcheng Mi, Mingjian Yu, Yunquan Wang, Yunquan Wang, Yunquan Wang

“…Understanding the mechanisms governing biodiversity-biomass relationships across temporal and spatial scales is essential for elucidating how abiotic and biotic factors influence ecosystem function in natural forests. …”
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STRUCTURAL-TECTONIC MODEL OF THE BASEMENT AND SEDIMENTARY COVER OF EAST ARCTIC WATER AREAS by V. Yu. Kerimov, E. A. Lavrenova, Yu. V. Shcherbina, R. A. Mamedov

“…This model describes the  distribution of the main structural elements, their spatial relationships, as well as their regional hierarchical nomenclature. …”
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The efficacy of training on the four quadrant brain processes on cognitive functions of students with mathematical disorders by zohreh sadat moeini, farnaz Keshavarzi Arshadi, Masoud Gholam Ali Lavasani, SAEED hasanzadeh

“…After 6 months, a follow-up test was conducted for the experimental group. Data were collected using 10 subtests of the Wechsler Intelligence Scale for Children - Fifth Edition (WISC-V). …”
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Study on anti-reflection of deep soft and high gas coal seam floor by deep hole controlled blasting by Jian-yu Zhang, Yi-xin Gong

“…Comparative experiments were conducted, contrasting various control hole spacings with conventional blasting techniques. …”
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Environmental Assessment of the Sulfate Content in the Air of the City of Stavropol Using Bioindication Methods by V. V. Movsesova, A. S. Bluzhina, I. A. Bakumenko

“…The analysis results - pH values and sulfate content in the tree bark - are statistically processed. As a result of spatial analysis of the distribution of sulfates in the crust, it is possible to divide the territory of Stavropol into 3 zones. …”
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Improving crop condition monitoring using phenologically aligned vegetation index anomalies – A case study in central Iowa by Haoteng Zhao, Feng Gao, Martha Anderson, Richard Cirone, Geba Jisung Chang

“…Vegetation indices (VIs) derived from remote sensing data can be useful for assessing crop conditions on a large spatial scale. Traditional crop condition assessments compare a VI in the current year to a baseline VI, averaged over multiple years. …”
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An updated regional model skill assessment for seasonal and interannual variability of bottom temperature across the eastern Bering Sea shelf by Kelly A. Kearney, Phyllis J. Stabeno, Albert J. Hermann, Albert J. Hermann, Calvin W. Mordy, Calvin W. Mordy

“…Extensive validation for this model has been conducted previously, particularly focused on bottom temperature, a key physical driver shaping ecosystem dynamics in this region. …”
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Multi-Robot exploration for coal mine rescue based on the extension of undirected graph by Linna ZHOU, Tihao WU, Xinli HUANG, Chunyu YANG, Xin ZHANG

“…Secondly, when conducting local rescue exploration, there is a special environment where narrow and open spaces coexist, making the multi-robot system difficult to quickly sample and generate local exploration paths. …”
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Effects of climate, soil and water source on determining exchangeable copper concentration in lowland paddy fields in Sri Lanka by Charuka Chandrasekara, Mojith Ariyaratne, Ranga Madushan, Upul Rathnayake, Rohana Thilakasiri, Harsha Kadupitiya, Rohana Chandrajith, Chalinda Beneragama, Lalith Suriyagoda

“…As most of the soil samples were deficient in soil exchangeable Cu, spatial maps generated in the current work could be used to develop ACZ and soil order-specific agronomic and management strategies to improve soil Cu fertility status.…”
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Evaluation of 3D‐Var and 4D‐Var data assimilation on simulation of heavy rainfall events over the Indian region by Shivaji S. Patel, Ashish Routray, Vivek Singh, R. Bhatla, Rohan Kumar, Elena Surovyatkina

“…Incorporating satellite‐derived AMVs improved the representation of rainfall intensity and spatial patterns, as well as other atmospheric variables. …”
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Potensi dan Kesesuaian Lahan Budidaya Rumput Laut (Kappaphycus alvarezii) Di Sekitar Perairan Kabupaten Wakatobi Provinsi Sulawesi Tenggara <br><i>[Potential And Suitability Of La... by Mudian Paena, Nur Ansari Rangka

“…Data were tabulated and the field measurement results were analyzed descriptively, whereas spatial analysis for thematic map creation and distribution of the potential suitability of land is done by applying the technology of geographic information systems (GIS) utilizing software Arc-View 3.3. …”
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Precision mapping of schistosomiasis and soil-transmitted helminthiasis among school-age children: Targeting interventions in western Kenya. by Stella Kepha, Wyckliff Omondi, Maurice R Odiere, Chitiavi Juma, Martin Muchangi, Dollycate N Wanja, Chrisistosom Kanyi, Joseph Oloo, Alison Ower, Irene Natalie Chami, Sultani Hadley Matendechero, Florence Wakesho

“…<h4>Methods</h4>Cross-sectional surveys were conducted among school-age children (SAC) in 5 primary schools purposefully selected in each mapping unit (Ward). …”
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Determinants of the time period from stroke onset to arrival at the emergency department: a GIS integrated hospital-based cross-sectional study by Shashank Kaggere Srinivasa, Madhu Basavegowda, Sulochanadevi B. Chakrashali, Suraj B. Manjunath, Mounika Sree Manivasagan

“…Hence the current study aimed to identify the factors influencing the time from stroke onset to arrival at the emergency department and to map the spatial distribution of stroke cases from the tertiary care hospital. …”
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Analisis Kualitas Udara Pada Kawasan Transportasi, Industri, Perkotaan, Permukiman, dan Perdagangan di Kota Tegal by Derystanto Winatama, Widayat Widayat, Syafrudin Syafrudin

“…The air quality monitoring is conducted in 2 (two) methods, namely active method and passive method. …”
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An Evaluation of the Capability of Global Meteorological Datasets to Capture Drought Events in Xinjiang by Yang Xu, Zijiang Yang, Liang Zhang, Juncheng Zhang

“…Furthermore, the adequacy of these datasets in delineating the spatial distribution and severity of major drought events varied across different years of drought occurrence. …”
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