A geospatial assessment of land use changes and their influence on land surface temperature in Koch Bihar district, West Bengal by Pritam Saha, Shasanka Kumar Gayen

“…Previous studies have predominantly concentrated on assessing land-use transformations, with limited attention given to the LST dimension and the systematic identification of major conversion patterns and temporal trends. Multi-temporal Landsat imagery was used to classify vegetation, agricultural land, built-up areas, fallow land and water bodies, revealing significant transformations. …”
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AI-Powered Precision in Diagnosing Tomato Leaf Diseases by MD Jiabul Hoque, Md. Saiful Islam, Md. Khaliluzzaman

“…A discrete wavelet transform (DWT) extracts hidden and abstract textures in the diseased zones by breaking down the pixel values of the images to various frequency ranges. Through spatial relation analysis of pixels, the gray level co-occurrence matrix (GLCM) is extremely valuable in delivering texture patterns in correlation with specific ailments. …”
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The River in Thaw-era Soviet Popular Song (1954–1970): The Formation of an Amicable Space by M. A. Litovskaya

“…Songs have traditionally been a way of both forming a general system of spatial imagination of society and fixing the changes taking place in it. …”
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Car dependency beyond land use: Can a standardized built environment indicator predict car use? by Eva Van Eenoo, Koos Fransen, Kobe Boussauw

“…Against this backdrop, this paper assesses the extent to which the mobility score can predict car use and aims to contribute to the line of research that studies travel patterns in relation to accessibility, spatial context, and travel mode choice. …”
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Novel method to investigate thermal exchange rates in small, terrestrial ectotherms: A proof-of-concept on the gecko Tarentola mauritanica. by Gabriel Mochales-Riaño, Frederico M Barroso, Valéria Marques, Alexandra E Telea, Marco Sannolo, Catarina Rato, Miguel A Carretero

“…Classically, the study of these phenomena has relied on invasive methodologies which often disregard the effect of stress, behaviour and regional heterothermy on the rates and patterns of thermal exchange across the body of the animal. …”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…Our framework incorporates dimension alignment strategies and attention mechanisms to capture temporal–spatial complementarity between acoustic feeding signals and visual behavioral patterns. …”
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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Certainly, CNNs are employed to extract spatial features from the extracted spectro-temporal characteristics of vocal data, while LSTMs capture temporal dependencies, accelerating a comprehensive analysis of the development of vocal patterns over time. …”
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Elemental Associations with Groundwater Nitrate in Northeastern Region of Saudi Arabia: Implications for Sustainable Water Management by Al Mamun

“…This study investigates the elemental associations with nitrate concentrations in groundwater across the northeastern region of Saudi Arabia, employing diverse analytical techniques to assess water quality and develop sustainable management strategies. Spatial variations in nitrate levels were observed in both deep and shallow wells using GIS-based interpolation, revealing distinct patterns influenced by geological, hydrological, and anthropogenic factors. …”
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Validating Ultra-Wideband Positioning System for Precision Cow Tracking in a Commercial Free-Stall Barn by Ágnes Moravcsíková, Zuzana Vyskočilová, Pavel Šustr, Jitka Bartošová

“…While generally meeting specifications, spatial variations in accuracy and reliability were observed, particularly near barn perimeters. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…These two modules work together to capture complex spatial and temporal patterns within skeleton data effectively. …”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. To address these issues, an end-to-end malicious traffic detection method named MTAttention was proposed. …”
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An fMRI Study of Intra-Individual Functional Topography in the Human Cerebellum by Catherine J. Stoodley, Eve M. Valera, Jeremy D. Schmahmann

“…To determine whether these activation patterns are evident at a single-subject level, we conducted functional magnetic resonance imaging (fMRI) during five tasks investigating sensorimotor (finger tapping), language (verb generation), spatial (mental rotation), working memory (N-back), and emotional processing (viewing images from the International Affective Picture System). …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…MABEC-Net integrates multi-scale feature extraction, which enables the model to analyze both fine-grained local textures and broader environmental patterns. Spatial and channel attention mechanisms are incorporated to dynamically adjust feature importance, allowing the model to focus on key visual information while minimizing noise.In addition to the network architecture, we propose the Adaptive Environmental Training Strategy (AETS), a robust training framework designed to improve model generalization across diverse environmental datasets. …”
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Waterline responses to climate forcing along the North American West Coast by Marcan Graffin, Rafael Almar, Erwin W. J. Bergsma, Julien Boucharel, Sean Vitousek, Mohsen Taherkhani, Peter Ruggiero

“…Our results reveal distinct latitudinal patterns in seasonal waterline change, with excursions exceeding 25 m in the Pacific Northwest, decreasing to less than 10 m in Southern California and farther south. …”
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Evaluation of multi-source precipitation products for monitoring drought across China by Yongyi Yuan, Boyi Liao

“…Hotspot analyses of indices such as CDD, PRCPTOT, and R95p further confirmed IMERG Final’s accuracy in identifying drought and wet event patterns, closely reflecting ground measurements, whereas ERA5 and GSMaP MVK occasionally overestimated drought frequencies. …”
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Analysis of Global and Key PM_2.5 Dynamic Mode Decomposition Based on the Koopman Method by Yuhan Yu, Dantong Liu, Bin Wang, Feng Zhang

“…Understanding the spatiotemporal dynamics of atmospheric PM_2.5 concentration is highly challenging due to its evolution processes have complex and nonlinear patterns. Traditional mode decomposition methods struggle to accurately capture the mode features of PM_2.5 concentrations. …”
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Reconstructing a Fine Resolution Landscape of Annual Gross Primary Product (1895–2013) with Tree-Ring Indices by Hang Li, James H. Speer, Collins C. Malubeni, Emma Wilson

“…With the simulated and real GPP maps, we observed that the GPP for grassland and overall GPP were increasing. The GPP landscape patterns were stable, but in recent years, the GPP’s increasing rate surpassed any other period in the past 130 years. …”
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Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland by Hongtao Jiang, Wenbang Gao, Baoyuan Liu, An Chang, Qiankun Guo

“…Additionally, the spatial distribution of risk zones was accurately identified, analyzing wind erosion intensity and distribution patterns across different regions. …”
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Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression by Yao Xu, Zengzhen Lai, Chaolin Li

“…The CNIH4 gene, an emerging biomarker, is increasingly recognized for its role in the malignant progression across various cancers.MethodsWe conducted a comprehensive multi-omics analysis of CNIH4, including pan-cancer expression profiles, epigenetic alterations, immune microenvironment characteristics, and therapeutic response patterns. Our focus was on clinical features, molecular underpinnings, and drug sensitivity in breast cancer (BRCA) associated with CNIH4. …”
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Environmental planning and the evolution of inter-basin water transfers in the United States by Sooyeon Yi, G. Mathias Kondolf

“…The uneven spatial distribution of water resources and demands across the US have motivated a wide range of inter-basin water transfers. …”
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