Single-cell spatial transcriptomics unravels cell states and ecosystems associated with clinical response to immunotherapy by Sjoerd H van der Burg, Ziena Abdulrahman, Mariette I E van Poelgeest, Roderick C Slieker, Marij J P Welters, Daniel McGuire

“…We leveraged single-cell spatial transcriptomics to systematically dissect the intricate complexity of the TME, in particular the cellular heterogeneity and spatial interactions. …”
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Spatial distribution and source apportionment of nitrogen in typical plain river networks and bacterial community response by Aiju You, Aiju You, Qiaoxi Zheng, Pengcheng Yao, Pengcheng Yao

“…And the changes of the bacterial community were analyzed through 16S rRNA gene sequencing.ResultsThe concentration of total nitrogen (TN) revealed a distinct spatial pattern, with the industrial area demonstrating the highest levels, followed closely by the aquaculture area and the domestic and agricultural areas. …”
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Spatial correlations between summer ozone heatwave dual events and residents mental health in China by Rongjun Zeng, Jinhui Zhao, Yanxia Hu, Liling Chu, Shenwen Du, Changzhun Zheng, Chao He

“…By 2020, the number of days with high surface ozone, heatwave days, and heatwave events in China had risen by 16.15%, 26.32%, and 15.67%, respectively, with marked spatial heterogeneity and clustering patterns. Despite a slight decline in 2020, the population exposed to high ozone levels (> 160 μg/m3) and prolonged heatwave conditions (> 20 days) showed an overall upward trend. …”
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Temporal and Spatial Variation Characteristics of Precipitation Isohyets on the Qinghai–Tibet Plateau from 1961 to 2023 by Xuan Liu, Qiang Zhou, Yonggui Ma, Zemin Zhi, Rui Liu, Weidong Ma

“…Under a warming–humidifying climate, precipitation patterns on the Qinghai–Tibet Plateau have significantly shifted due to a water imbalance in its solid–liquid structure. …”
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Spatial dynamics and competitive pricing in charging-as-a-service markets: The quest for cleaner urban development by Guanyu Zhou, Qianyu Dong, Chenyang Feng, Youwei Jia

“…To redefine the mobility and energy usage patterns in urban cities, the exponential rise in fast-charging loads of electric vehicles (EVs) necessitates a new operating paradigm. …”
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Spatial–Temporal Approach for Gridded Wind Forecasting Across Southwest Western Australia by Fuling Chen, Kevin Vinsen, Arthur Filoche

“…However, conventional forecasting models encounter significant challenges in precisely predicting wind conditions for individual locations or small geographical areas (< 20 km2) and capturing medium to long-range temporal trends and comprehensive spatio-temporal patterns. This study focuses on a spatial–temporal approach for gridded wind forecasting with a resolution of 0.1° at the height of 3 and 10 metres across large areas of the Southwest of Western Australia to overcome these challenges. …”
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Temporal and spatial distributions of calanoid copepod eggs in intertidal sediment of a tropical coastal lagoon by Ke-Chou Chung, Yi-Yang Lin, Ang Lu, Man-Jin Zhang, Jiang-Shiou Hwang, Yen-Ju Pan

“…This is the first study to document the temporal and spatial distributions of A. cf. tsuensis eggs in Tapong Bay, suggesting how environmental conditions shape their reproductive patterns and distribution in this tropical ecosystem.…”
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Identification of Cultural Landscapes and Spatial Distribution Characteristics in Traditional Villages of Three Gorges Reservoir Area by Jia Jiang, Zhiliang Yu, Ende Yang

“…Through field surveys, landscape feature assessments, GIS spatial analysis, and multi-source data analysis, we systematically analyse their cultural landscape type systems and spatial differentiation characteristics, and then reveal their cultural landscape types and spatial differentiation patterns. (1) The results of the study show that the spatial distribution of traditional villages exhibits significant altitude gradient differentiation—the low-altitude area is dominated by traffic and trade villages, the middle-altitude area is dominated by patriarchal manor villages and mountain farming villages, and the high-altitude area is dominated by ethno-cultural and ecologically dependent villages. (2) Slope and direction analyses further reveal that the gently sloping areas are conducive to the development of commercial and agricultural settlements, while the steeply sloping areas strengthen the function of ethnic and cultural defence. …”
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Detection of Student Engagement via Transformer-Enhanced Feature Pyramid Networks on Channel-Spatial Attention by A. Naveen, I. Jeena Jacob, Ajay Kumar Mandava

“…The proposed approach automatically analyses student engagement patterns, such as body posture, eye contact, and head position, from visual data streams by integrating cutting-edge deep learning and computer vision techniques. …”
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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…The study found a clear pattern of spatial clustering and geographical disparities in childhood stunting, with multidimensional poverty, high climate vulnerability and early marriage worsening childhood stunting. …”
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Spatial cell graph analysis reveals skin tissue organization characteristic for cutaneous T cell lymphoma by Suryadipto Sarkar, Anna Möller, Anne Hartebrodt, Michael Erdmann, Christian Ostalecki, Andreas Baur, David B. Blumenthal

“…Our analyses reveal characteristic patterns of skin tissue organization in CTCL as compared to AD and PSO, including a combination of increased local entropy and egophily in T-cell neighborhoods. …”
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Scalable topic modelling decodes spatial tissue architecture for large-scale multiplexed imaging analysis by Xiyu Peng, James W. Smithy, Mohammad Yosofvand, Caroline E. Kostrzewa, MaryLena Bleile, Fiona D. Ehrich, Jasme Lee, Michael A. Postow, Margaret K. Callahan, Katherine S. Panageas, Ronglai Shen

“…By integrating both cell type and spatial information, SpatialTopic identifies recurrent spatial patterns, or “topics,” that reflect biologically meaningful tissue structures. …”
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GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection by Yogesh Kumar Sharma, Deepak Singh Tomar, R. K. Pateriya, Surendra Solanki

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Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data by Yan Jia, Jiaqi Zou, Shuanggen Jin, Qingyun Yan, Yixiang Chen, Yan Jin, Patrizia Savi

“…Extensive experimental results with error ratio diagrams show that the advanced geographically weighted regression (GWR)-based SM estimation method outperforms other competing estimation models and better retains localized spatial relationships and patterns. This study underscores the potential of CYGNSS as a novel and robust independent data source capable of delivering fine-resolution SM estimations by harnessing its unique multiresolution observational capability.…”
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Socio-economic factors affecting spatial inequalities in pregnancy-related ambulance attendances in Greater London by Sam Murphy, Chen Zhong, Fulvio D. Lopane, Luke Rogerson, Yi Gong

“…Doing so can improve health inequalities by firstly, improving ambulance care equity by directly supporting a better allocation of resources within ambulance systems to target patterns in demand.…”
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The Role of Agricultural Socialized Services in Unlocking Agricultural Productivity in China: A Spatial and Threshold Analysis by Yu Bai, Yuheng Wei, Ruofan Liao, Jianxu Liu

“…Amid global economic transformation, a persistent productivity gap exists between developed and developing nations in agriculture sector, shaped by technological advancements and shifting resource allocation patterns. Agricultural socialized services (ASS), defined as organized systems providing technical support, mechanization assistance, information services, market linkages, and resource optimization to farmers, have emerged as critical mechanisms for agricultural development. …”
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Spatial Modeling of Yellowfin Tuna in the Banda Sea Based on Oceanographic Factors Using MaxEnt by Sunarwan Asuhadi, Mukti Zainuddin, Safruddin Safruddin, Musbir Musbir

“…This study models the spatial distribution of yellowfin tuna (YFT) in the Banda Sea using the MaxEnt approach, addressing critical questions about its predictive capability, the influence of environmental variables such as sea surface temperature (SST) and chlorophyll-a concentration, and temporal patterns. …”
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Exploring Road Traffic Accidents Hotspots Using Clustering Algorithms and GIS-Based Spatial Analysis by Hussien Kamh, Saleh H. Alyami, Afaq Khattak, Mana Alyami, Hamad Almujibah

“…Our findings reveal that <xref ref-type="disp-formula" rid="deqn1">(1)</xref> the HAC model, based on the Silhouette and Calinski-Harabasz Scores, performs better in identifying accident hotspots; <xref ref-type="disp-formula" rid="deqn2">(2)</xref> significant concentrations of accidents are observed along major highways and arterial roads, pinpointing critical hotspots within the city&#x2019;s fabric; <xref ref-type="disp-formula" rid="deqn3">(3)</xref> proximity analysis indicates gaps in the coverage of ambulance services and public hospitals relative to high-incident areas; <xref ref-type="disp-formula" rid="deqn4">(4)</xref> through spatial interpolation, detailed visualizations of RTA distributions are provided, revealing diverse accident patterns across Najran. …”
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Quantifying the Drivers of the Spatial Distribution of Urban Surfaces in Bangladesh: A Multi-Method Geospatial Analysis by Kazi Jihadur Rashid, Rajsree Das Tuli, Weibo Liu, Victor Mesev

“…This study aims to quantitatively identify and evaluate the key drivers influencing the spatial distribution of urban surfaces (SDUS) in Chattogram City, providing insights into urban growth patterns over 30 years. …”
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Spatial Risk Effects From Lions Compound Impacts of Prey Depletion on African Wild Dogs by Ben Goodheart, Scott Creel, Paul Schuette, Egil Droge, Justine A. Becker, Kambwiri Banda, Anna Kusler, Stephi Matsushima, Kachama Banda, Ruth Kabwe, Will Donald, Johnathan Reyes de Merkle, Adrian Kaluka, Clive Chifunte, Matthew S. Becker

“…To avoid predation, competitively subordinate African wild dogs typically avoid their dominant competitors (lions) and the prey rich areas they are associated with, but no prior research has tested whether this pattern persists in ecosystems with anthropogenically‐reduced prey density, and reduced lion density as a result. …”
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