Spatiotemporal Heterogeneity of Precipitable Water Diurnal Variation over the Tibetan Plateau Based on a Refined 2D Water Vapor Reconstruction by Hongjun Li, Zhengjun Hou, Zhuangen Qin

“…However, in high-altitude mountainous areas, the spatial and temporal resolution of water vapor products is insufficient to depict their diurnal variation characteristics. …”
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Geographically Aware Air Quality Prediction Through CNN-LSTM-KAN Hybrid Modeling with Climatic and Topographic Differentiation by Yue Hu, Yitong Ding, Wenjing Jiang

“…To address the heterogeneous patterns of air pollution across diverse geographical and climatic regions, this study proposes a novel CNN-LSTM-KAN hybrid deep learning framework for high-precision Air Quality Index (AQI) time-series prediction. …”
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GazeMap: Dual-Pathway CNN Approach for Diagnosing Alzheimer’s Disease from Gaze and Head Movements by Hyuntaek Jung, Shinwoo Ham, Hyunyoung Kil, Jung Eun Shin, Eun Yi Kim

“…Additionally, our gaze-saliency maps provide interpretable visualizations, revealing distinct AD-related gaze patterns.…”
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Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

“…These findings underscore the effectiveness of ML in Urban Building Energy Modelling (UBEM), particularly in forecasting energy consumption patterns and identifying high-energy-use buildings. …”
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The Effect of Local Water Governance on the use of Virtual Water: A Case Study of Isfahan Province by Afshin Mottaghi, Hasan Sadrania, Mohammad Yousefi Shatori

“…Finding: The research results show the variables of the lack of proper water governance structure in Isfahan Province, neglecting the necessity of spatial planning, the development of water-bearing industries in Isfahan Province, etc. …”
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HarvestGRID: high-resolution harvested crop areas of the United States from 1981 to 2019 by Gambhir Lamsal, Landon T Marston

“…This dataset is pivotal for analyzing long-term cropland use patterns and supports the advancement of more sustainable agricultural practices.…”
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Data analytics to advance the inference of origin–destination in public transport systems: tracing network vulnerabilities and age-sensitive trip purposes by Sofia Cerqueira, Elisabete Arsenio, José Barateiro, Rui Henriques

“…In entry-only Automated Fare Collection systems, the body of literature has focused on the spatial dimension by estimating alighting stops, overlooking the inference of robust alighting times. …”
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Hydroecological limitations of the use of water resources of transboundary rivers of the steppe zone (through the example of the Ural and Tobol Rivers, Russia) by Zh. T. Sivohip, V. M. Pavleichik, A. A. Chibilev, Yu. A. Padalko, M. A. Kozlova, O. B. Popova

“…To identify the main types of hydroecological restriction on the use of water resources and their spatial patterns in the Ural and Tobol river basins within the steppe zone.A comprehensive assessment of the water‐environmental situation in the regions of the studied basins studied was carried out on the basis of the calculation of water‐environmental stress – the ratio of water intake and free flow (average long‐term flow minus ecological). …”
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Monitoring Fast-Growing Megacities in Emerging Countries Through the PS-InSAR Technique: The Case of Addis Ababa, Ethiopia by Eyasu Alemu, Mario Floris

“…In these contexts, advanced remote sensing techniques can support the assessment of spatial and temporal patterns of ground instability phenomena, providing critical information on potential conditioning and triggering factors. …”
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Effect of geographical parameters on PM10 pollution in European landscapes: a machine learning algorithm-based analysis by Seyedehmehrmanzar Sohrab, Nándor Csikós, Péter Szilassi

“…Urban sites exhibit higher R-squared values during both cooling (0.41) and heating periods (0.61) compared to suburban sites (cooling period R-squared: 0.39; heating period: R-squared: 0.51), indicating better predictive performance likely attributed to the less heterogeneous land use patterns surrounding urban PM10 monitoring sites. Conclusion The study underscores the importance of investigating spatial and temporal dynamics of geographical factors for accurate PM10 air quality prediction models in European urban and suburban landscapes. …”
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LMSOE-Net: lightweight multi-scale small object enhancement network for UAV aerial images by Zhixing Ma, Peidong Luo, Xiaole Shen

“…This upgrade strengthens the network’s ability to capture fine details and complex patterns, improving multi-scale feature extraction without a significant increase in parameters. …”
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The Role of Intrinsic Factors in Explaining Range Shifts of European Breeding Birds: A Meta‐Analysis by Femke E. M. Warmer, Wessel A. vanVliet, Pim vanHooft, Anouschka R. Hof

“…However, the observed range shift patterns are idiosyncratic in rate and direction. Species traits, such as ecological, life‐history and movement traits, may play an important role in determining range shifts by influencing a species' capacity to shift successfully. …”
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No Enhancement of 24-Hour Visuomotor Skill Retention by Post-Practice Caffeine Administration. by Sara J Hussain, Kelly J Cole

“…For mean performance on Day 2, patterns of re-learning, mean performance learning magnitudes, mean performance learning rates, and mean performance retention magnitudes were all similar between groups. …”
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Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece by Dimitrios Katsanos, Adrianos Retalis, John Kalogiros, Basil E. Psiloglou, Nikolaos Roukounakis, Marios Anagnostou

“…The results indicate that, while satellite precipitation products demonstrate overall skill in capturing the broad-scale precipitation patterns associated with Medicane Daniel, discrepancies exist in estimating localized intense rainfall rates, particularly in convective cells within the cyclone’s core. …”
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Drivers of Public Welfare Land Ratios for Regional Development in China: A Central–Local Interaction Perspective by Jin Dai, Qingbin Wang, Xiongwei Zhou, Xinxian Qi

“…Based on a comprehensive analysis of land expropriation data across different regions and administrative levels, we examine the spatial heterogeneity and underlying mechanisms of public welfare land allocation. …”
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The Usability of Citizen Science Data for Research on Invasive Plant Species in Urban Cores and Fringes: A Hungarian Case Study by Georgina Veronika Visztra, Péter Szilassi

“…However, the crowd-sourced nature of citizen science data has led to criticism over the quality of the data owing to the fragmented spatial distribution of the data collection points. …”
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Rspo3-mediated metabolic liver zonation regulates systemic glucose metabolism and body mass in mice. by Kenji Uno, Takuya Uchino, Takashi Suzuki, Yohei Sayama, Naoki Edo, Kiyoko Uno-Eder, Koji Morita, Toshio Ishikawa, Miho Koizumi, Hiroaki Honda, Hideki Katagiri, Kazuhisa Tsukamoto

“…The unique architecture of the liver consists of hepatic lobules, dividing the hepatic features of metabolism into 2 distinct zones, namely the pericentral and periportal zones, the spatial characteristics of which are broadly defined as metabolic zonation. …”
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Response of nitrogen emissions to land use changes and driving forces analysis in Jiangxi province under multiple scenarios by Chun Fu, Libin Xiang, Yezhong Liu, Tianming Zhou

“…This study provides actionable insights for optimizing land use patterns and mitigating nitrogen pollution in Jiangxi Province.…”
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An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

“…Accurate detection and quantification of land use and land cover (LULC) change is critical for understanding landscape patterns in heterogeneous semi-arid environments. This study investigates the performance of single-date and multi-date Landsat images as well as the relationship between different LULC schemes (simple [2 and 4 classes] and complex [6 and 9 classes]) and the resulting classification accuracy. …”
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Hierarchical cross attention achieves pixel precise landslide segmentation in submeter optical imagery by Wenjie Hu, Guangtong Sun, Xiangqiang Zeng, Bo Tong, Zihao Wang, Xinyue Wu, Ping Song

“…However, current methodologies struggle with two persistent challenges in sub-meter true-color imagery: fine-grained inter-class confusion between landslides and spectrally analogous terrain features, and within-landslide heterogeneity where localized damage signatures coexist with macro-scale deformation patterns within individual landslide bodies. To overcome these, we propose the Cross-Attention Landslide Detector (CALandDet), which improves the model’s ability to distinguish between landslide and background features by sharply capturing global landslide feature information and integrating global landslide feature information with local information via a cross-attention feature enhancement mechanism. …”
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