Dynamics of street environmental features and emotional responses in urban areas: implications for public health and sustainable development by Yangfei Huang, Yangfei Huang, Chenjian Zhong, Chenjian Zhong, Tangtao He, Yuyang Jiang

“…By integrating an emotion dataset assessed by 40 experts, a random forest model was constructed to predict emotional responses to different street spaces. …”
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Three-Dimensional Spatio-Temporal Slim Weighted Generative Adversarial Imputation Network: Spatio-Temporal Silm Weighted Generative Adversarial Imputation Net to Repair Missing Oce... by Yiwan Yue, Juan Li, Yu Zhang, Meiqi Ji, Jingyao Zhang, Rui Ma

“…Three-dimensional ocean observation is the foundation for accurately predicting ocean information. Although ocean observation sensor arrays can obtain internal data, their deployment is difficult, costly, and prone to component failures and environmental noise, resulting in discontinuous data. …”
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SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images by Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

“…Finally, the conditional random fields-based label refinement is applied to postprocess the predicted labels, improving spatial relationships and dependencies among objects. …”
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A novel coal-rock recognition method in coal mining face based on fusing laser point cloud and images by Yang Liu, Lei Si, Zhongbin Wang, Miao Chen, Xin Li, Dong Wei, Jinheng Gu

“…Subsequently, the 2D target candidate box is calculated through the improved Mask R-CNN, and the frustum point cloud in the 2D target candidate box is extracted to reduce the calculation scale and spatial search range. Then, the self-attention PointNet is constructed to segment the fused point cloud within the frustum range, and the bounding box regression network is used to predict the bounding box parameters. …”
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Occupancy of roe deer, water deer, and wild boar in wind farm‐integrated forest ecosystems: A case study in Korea by Seong‐Hyeon Kim, Thakur Dhakal, Ki Hwan Cho, Tae‐Su Kim, Seung‐Hyeon Woo, Jun‐Young Kim, Do‐Hun Lee, Gab‐Sue Jang

“…This study explored the impacts of anthropogenic disturbances, particularly wind farms, on South Korean Forest ecosystems using spatial occupancy models and camera trap survey data. …”
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Human Health Outcomes Linked to Ecosystem Changes of Urban Streams: An OneAquaHealth Protocol by Marilena ANASTASAKI, Catherine CHRONAKI, Anne MOEN, Eleni KOKINOU, Stratos KOKOLAKIS, Matenia KARAGIANNIDOU

“…The research will be conducted for a certain period so that data can be collected at various spatial and temporal scales to detect patterns over time and provide reliable predictions using machine learning models. …”
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Probabilistic Site Adaptation for High-Accuracy Solar Radiation Datasets in the Western Sichuan Plateau by Lianlian Ye, Mengqi Liu, Disong Fu, Hao Wu, Hongrong Shi, Chunlin Huang

“…Surface pyranometer observations are used as the reference to adapt predictions from two satellite products and two reanalysis products, collectively. …”
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Medical mesocosms and cohort differences in victim decisions in spousal violence in Sub-Saharan Africa by Patricia Elung'ata

“…Spatial interpolation addressed geographical clustering. …”
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Spatiotemporal Evolution and Simulation of Future Landscape Patterns in Zhangjiajie City by Yang Xueqing, Zhang Xiongyi, Ning Jia, Li Yuefeng

“…We used GeoSOS-FLUS land use simulation software to predict land use changes and landscape patterns for Zhangjiajie City in 2030. …”
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In vivo imaging and pharmacokinetics of percutaneously injected ultrasound and X-ray imageable thermosensitive hydrogel loaded with doxorubicin versus free drug in swine. by Jose F Delgado, Ayele H Negussie, Nicole A Varble, Andrew S Mikhail, Antonio Arrichiello, Tabea Borde, Laetitia Saccenti, Ivane Bakhutashvili, Joshua W Owen, Robert Morhard, John W Karanian, William F Pritchard, Bradford J Wood

“…Incorporating hydrogels into drug delivery systems holds significant promise for improving the predictability of the delivered drug and enhancing spatial conformability. …”
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Bioinformatics analysis for immune hub genes in BLIS subtype of triple-negative breast cancer by Hend Adel, Manal Abdel Wahed, Heba M. Afify

“…Conclusions Our findings provide a foundation for developing immune-targeted therapeutic approaches for BLIS-TNBC patients and provision the integration of machine learning models to predict treatment responses and optimize patient-specific strategies, potentially transforming the clinical management of this challenging breast cancer subtype.…”
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Evaluating the Relationship Between Vegetation Status and Soil Moisture in Semi-Arid Woodlands, Central Australia, Using Daily Thermal, Vegetation Index, and Reflectance Data by Mauro Holzman, Ankur Srivastava, Raúl Rivas, Alfredo Huete

“…Understanding the temporal changes in rainfall-driven vegetation in the thermal/optical spectra associated with increases in SM can allow us to predict the spatial impact of wet pulses on vegetation dynamics in extensive drylands.…”
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Assessing the Impact of Land Use and Land Cover Change on Environmental Parameters in Khyber Pakhtunkhwa, Pakistan: A Comprehensive Study and Future Projections by Mehjabeen Khan, Ruishan Chen

“…Projections for 2100 predict LST rising to 55.3 °C, with NDVI, MNDWI, and NDMI dropping to 0.36, 0.17, and 0.21, respectively. …”
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Plasmodium falciparum malaria endemicity in Indonesia in 2010. by Iqbal R F Elyazar, Peter W Gething, Anand P Patil, Hanifah Rogayah, Rita Kusriastuti, Desak M Wismarini, Siti N Tarmizi, J Kevin Baird, Simon I Hay

“…<h4>Background</h4>Malaria control programs require a detailed understanding of the contemporary spatial distribution of infection risk to efficiently allocate resources. …”
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Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…Attribution methods like Grad-CAM and occlusion sensitivity analysis are frequently used to identify how features contribute to predictions of neural networks. However, a key challenge is that different attribution methods often produce different outcomes undermining trust in their results. …”
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Historical habitat mapping from black-and-white aerial photography: A proof of concept for post World War II Switzerland by Nica Huber, Matthias Bürgi, Christian Ginzler, Birgit Eben, Andri Baltensweiler, Bronwyn Price

“…Information regarding the spatial arrangement and extent of past habitats is important for understanding present biodiversity, restoration potential, and fighting extinction-debt effects. …”
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Rainfall forecasting in arid regions in response to climate change using ARIMA and remote sensing by Hany F. Abd-Elhamid, Amr M. El-Dakak, Martina Zeleňáková, Saleh O. K, Mohamed Mahdy, Samah H. Abd El Ghany

“…Climate changes in increasing at alarming rates which caused outward changes in the hydrological cycle parameters such as temperature and precipitation. The spatial and temporal distribution of rainfall has changed all over the world. …”
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Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations by Meilin He, Tao Chen, Yuanjin Pan, Lv Zhou, Yifei Lv, Lewen Zhao

“…This study provides new insights for predicting extreme hydrological events under climate warming and offers a methodological framework applicable to other critical global hydrological regions.…”
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A study on forest fire risk assessment in jiangxi province based on machine learning and geostatistics by Jinping Lu, Mangen Li, Yaozu Qin, Niannan Chen, Lili Wang, Wanzhen Yang, Yuke Song, Yisu Zheng

“…This study integrated multiple factors, including topography, climate, vegetation, and human activities, and employed machine learning models, specifically random forest (RF), support vector machine (SVM), and back-propagation neural network (BPNN), to predict forest fire occurrence in Jiangxi. …”
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Synchrony on the reef: how environmental factors shape coral spawning patterns in Acropora corals in the Maldives by Kate Sheridan, Margaux A.A. Monfared, Simon P. Dixon, Amelia J.F. Errington, Thomas Le Berre

“…However, our results highlight the importance of considering environmental conditions, and species-specific relationships, when predicting Acropora spawning, due to the temporal and spatial deviations in timing and synchronicity observed within and between species.…”
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