Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…The mapping and monitoring of rice fields on a large scale using medium and high spatial resolution data (<10 m) is essential for efficient agricultural management and food security. …”
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"The Perfect Swarm" - Flooding across Northern Victoria leads to intensified mosquito breeding and subsequent re-emergence and transmission of Murray Valley encephalitis virus duri... by Peter J Neville, Rachel N Evans, Helen O'Brien, Peter T Mee, Natasha D Brohier, Nicole Hughes

“…<h4>Background</h4>The sporadic yet explosive nature of Murray Valley encephalitis virus (MVEV) in the southeast of Australia has led to several hypotheses to explain the viruses temporal and spatial patterns in the region. These theories, relying on the presence of flooding events, include the role of migratory waterbirds as carriers of MVEV from endemic areas in northern Australia or the re-appearance of MVEV from isolated, cryptic habitats. …”
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Quantitative prediction of water quality in Dongjiang Lake watershed based on LUCC by Yang Song, Xiaoming Li, Ying Zheng, Gui Zhang

“…Based on classification results, a Cellular Automata-Markov chain model (CA-Markov) was constructed to simulate and predict the spatio-temporal patterns of land use, incorporating driving factors such as proximity to water systems, roads, elevation, and slope. …”
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Evaluation of Machine Learning Models for Estimating Grassland Pasture Yield Using Landsat-8 Imagery by Linming Huang, Fen Zhao, Guozheng Hu, Hasbagan Ganjurjav, Rihan Wu, Qingzhu Gao

“…The XGBoost model was subsequently applied to map the spatial patterns of pasture yield in the Xilingol grassland for the years 2014 and 2019. …”
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Impact of the Mean Radiant Temperature (T_mrt) on Outdoor Thermal Comfort Based on Urban Renewal: A Case Study of the Panjiayuan Antique Market in Beijing, China by Chenxiao Liu, Yani Fang, Yanglu Shi, Mingli Wang, Mo Han, Xiaobing Chen

“…Unlike previous studies that focused on the behavior patterns of vendors and buyers, this study focuses on the increase in users’ expectation on environmental thermal comfort when the Panjiayuan Antique Market transforms from a conventional commercial market into an urban public space. …”
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Characterizing and Detecting Multiscenario Degradation of the Maidika Alpine Wetland Nature Reserve in the Qinghai–Tibet Plateau Using Landsat Time Series by Ye Chen, Ren Ci, Dongping Zhong, Liangyun Liu, Jinyuan Yu, Dongdong Zhang, Yindong Tong, Yingchun Fu

“…Results show an improvement in snow and meadow mapping accuracy by 5% and 3%, respectively, with a mapping accuracy of 94.9% in the Maidika Wetland in 2022. Spatial–temporal patterns demonstrated multiscenario degradation during 2 decades, with snow and river areas decreasing by 5.04% and 16.74%, respectively, and 3.23% of swampy meadows transitioning to alpine meadows. …”
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From cytogenetics to proteogenomics: new horizons in the study of aneuploidies by K. S. Zadesenets, N. B. Rubtsov

“…It also discusses the influence of extrachromosomal elements on the spatial organization of the genome and the changes in gene expression patterns resulting from their presence. …”
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Morphological Analysis and Assessment of a River Based on Morphological Characteristics, Artificial Structures and Channel Adjustment (Case Study: Talar River - Upstream of the Shi... by Zohreh Talebi, Seyyed Ali Ayyoubzadeh, Hossein Mostafavi, Mohammad Mahdi Hosseinzadeh, Hossein Shafizadeh

“…However, humaninterventions including changes in land use patterns, construction near rivers, exploitation ofwater resources, and flood and storm management have significantly impacted on these crucialenvironmental systems. …”
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Effects of Land Use and Water Level Fluctuations on Phytoplankton in Mediterranean Reservoirs in Cyprus by Polina Polykarpou, Natassa Stefanidou, Matina Katsiapi, Maria Moustaka-Gouni, Savvas Genitsaris, Gerald Dörflinger, Athena Economou-Amilli, Dionysios E. Raitsos

“…However, despite elevated biomass, no consistent spatial patterns were observed in phytoplankton community composition. …”
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التطور العمراني لحي السيدة زينب بين القيود البيئية والمعالم التراثية by وردة أحمد السيد محمد

“…It also covers a map of archaeological sites within the urban complex with non-residential uses, in addition to analyzing the neighborhood's urban environment in terms of building usage patterns, architectural characteristics, road network, and spatial environmental quality.     …”
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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

“…A bidirectional loading gas–solid coupling blasting simulation system was established in the laboratory, enabling multi-faceted analysis of experimental models through macroscopic crack patterns, internal damage mechanisms, and strain data of coal and rock masses. …”
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Multi-scale machine learning model predicts muscle and functional disease progression by Silvia S. Blemker, Lara Riem, Olivia DuCharme, Megan Pinette, Kathryn Eve Costanzo, Emma Weatherley, Jeff Statland, Stephen J. Tapscott, Leo H. Wang, Dennis W. W. Shaw, Xing Song, Doris Leung, Seth D. Friedman

“…Abstract Facioscapulohumeral muscular dystrophy (FSHD) is a genetic neuromuscular disorder characterized by progressive muscle degeneration with substantial variability in severity and progression patterns. FSHD is a highly heterogeneous disease; however, current clinical metrics used for tracking disease progression lack sensitivity for personalized assessment, which greatly limits the design and execution of clinical trials. …”
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SIG-ShapeFormer: A Multi-Scale Spatiotemporal Feature Fusion Network for Satellite Cloud Image Classification by Xuan Liu, Zhenyu Lu, Bingjian Lu, Zhuang Li, Zhongfeng Chen, Yongjie Ma

“…SIG-Shapeformer consists of three core components: (1) a Shapelet-based module that captures discriminative and interpretable local temporal patterns; (2) a multi-scale Inception module combining 1D convolutions and Transformer encoders to extract temporal features across different scales; and (3) a differentially enhanced Gramian Angular Summation Field (GASF) module that converts time series into 2D texture representations, significantly improving the recognition of cloud internal structures. …”
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Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau by Gesi Tang, Yulong Bao, Changqing Sun, Mei Yong, Byambakhuu Gantumur, Rentsenduger Boldbayar, Yuhai Bao

“…In this study, we used remote sensing data and various statistical methods to evaluate the spatiotemporal patterns of water use efficiency and their potential influencing factors on the Mongolian Plateau from 1982 to 2018. …”
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Variation in Ringed Seal (Pusa hispida) Density Along a Latitudinal Gradient of Sea‐Ice Conditions by Cody G. Carlyle, James D. Roth, Brent G. Young, David J. Yurkowski, Christine Michel, Steven H. Ferguson

“…Ringed seals (Pusa hispida) rely on sea ice as habitat during key periods of their life history and inhabit a broad latitudinal range with diverse sea‐ice conditions, making them a model species to study patterns in density along a spatial–environmental gradient. …”
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The Role of [18F]FDG PET Imaging for the Assessment of Pulmonary Lymphangitic Carcinomatosis: A Comprehensive Narrative Literature Review by Francesco Dondi, Pietro Bellini, Michela Cossandi, Luca Camoni, Roberto Rinaldi, Gian Luca Viganò, Francesco Bertagna

“…PET/CT surpasses high-resolution computed tomography (HRCT) in distinguishing PLC from mimics like pulmonary sarcoidosis by identifying distinct metabolic patterns: bronchovascular hypermetabolism in PLC versus subpleural nodular uptake in sarcoidosis. …”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…For two of those pipelines, Common Spatial Patterns (CSP) and Short Time Fourier Transform (STFT) were successfully used as feature extraction algorithms where both these algorithms are significantly new for meditation EEG. …”
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Assessment Of Temporal Variability In The Level Of Population Vulnerability To Natural And Man-Made Hazards (The Case Of Moscow Districts) by Roman A. Babkin, Svetlana V. Badina, Alexander N. Bereznyatsky

“…The object of the study is the administrative districts of Moscow; the subject is the temporal patterns of vulnerability of their population to potential natural and man-made hazards. …”
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Unveiling the resilience of the water-energy-food nexus: A context-specific framework and evolutionary insights for the Yellow River Basin by Guiliang TIAN, Jiawen LI, Zheng WU, Qiuya Zhao, Qing Xia, Jinyi Zhang, Xingchao Niu

“…This study constructs a resilience framework for the Water-Energy-Food nexus (WEFN) in the Yellow River Basin (YRB) based on grounded theory (GT) and analyzes the processes, patterns, and driving mechanisms of WEFNR using the NPP-RF-PSO model and the Geodetector model. …”
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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…Study focus: This research aims to address the limitations of existing VPD reanalysis data, which are characterized by coarse spatial resolution and insufficient accuracy validation. …”
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