Comparative diversity of aquatic plants in three Central European regions by Marek Svitok, Marek Svitok, Marek Svitok, Igor Zelnik, Kateřina Bubíková, Mateja Germ, Alenka Gaberščik, Judita Kochjarová, Helena Oťaheľová, Peter Paľove-Balang, Richard Hrivnák

“…There is an urgent need for accurate information on spatial patterns of freshwater biodiversity, a first step in effective conservation planning and management of these ecosystems. …”
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Depth-Resolved and Depth-Integrated Primary Productivity Estimates From In-Situ and Satellite Data in the Global Ocean by Harish Kumar Kashtan Sundararaman, Palanisamy Shanmugam

“…This study also investigates the spatial and temporal patterns in MODIS-Aqua-derived <inline-formula> <tex-math notation="LaTeX">$P_{opt}^{b}$ </tex-math></inline-formula> and DIPP products and the impacts of climate-driven perturbations on the global ocean PP due to the La Ni&#x00F1;a and El Ni&#x00F1;o phenomenon during 2010 and 2015.…”
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Establishing reproductive seasons for the conservation of the critically endangered Kashmir red deer Cervus Hanglu by Tanushree Srivastava, Javaid Hameed, Vinod Kumar, Harika Segu, Sneha Narayan, Moomin John, Karthikeyan Vasudevan, Govindhaswamy Umapathy

“…We investigated the patterns in reproductive seasonality and stress in hangul in Kashmir Himalaya, India. …”
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Climate-Driven Effects on NPP in the Tibetan Plateau Alpine Grasslands Diminish with Increasing Elevation by Ze Tang, Yangjian Zhang, Ming Lei, Zhaolei Li, Guang Zhao, Yao Chen, Wenquan Zhu

“…Therefore, alpine grassland on the Tibetan Plateau (TP) was selected to profile the spatial and temporal patterns of NPP from 2001 to 2022, and subsequently to reveal the effects of temperature and precipitation on the sensitivity of NPP with altitudinal gradient. …”
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On the movement of the honeybee queen in the hive by Jan Blaha, Martin Stefanec, Jiří Janota, Daniel Nicolas Hofstadler, Tomáš Rouček, Jiří Ulrich, Laurenz Alexander Fedotoff, George Broughton, Tomáš Vintr, Farshad Arvin, Thomas Schmickl, Tomáš Krajník

“…In this study, we examine the interaction between the queen and her surrounding environment by analyzing her movement patterns using mathematical models and computational approaches. …”
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Mechanical power is maximized during contractile ring-like formation in a biomimetic dividing cell model by Ryota Sakamoto, Michael P. Murrell

“…Abstract The spatial and temporal dynamics of forces in cells coordinate essential behaviors like division, polarization, and migration. …”
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Evaluation of Arctic Land Snow Cover Characteristics, Surface Albedo, and Temperature during the Transition Seasons from Regional Climate Model Simulations and Satellite Data by X. Zhou, H. Matthes, A. Rinke, K. Klehmet, B. Heim, W. Dorn, D. Klaus, K. Dethloff, B. Rockel

“…HIRHAM5 shows a general agreement in the spatial patterns and annual course of these variables, although distinct biases for specific regions and months are obvious. …”
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Horizontal and Vertical Part-Wise Feature Extraction for Cross-View Gait Recognition by Md. Zasim Uddin, Kamrul Hasan, Md Atiqur Rahman Ahad, Fady Alnajjar

“…Gait recognition, a form of biometric authentication, facilitates the identification of individuals by analyzing their characteristic walking patterns. This approach exhibits superior performance even from distant, low-resolution imagery from security camera footage. …”
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A Geospatial Perspective Toward the Role of Wild Bird Migrations and Global Poultry Trade in the Spread of Highly Pathogenic Avian Influenza H5N1 by Mehak Jindal, Haley Stone, Samsung Lim, C. Raina MacIntyre

“…This approach provides a strong framework for identifying specific regions at higher risk for H5N1 outbreaks and upon which to further evaluate these patterns with targeted intervention studies and research into what is driving these patterns. …”
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Deep Time Series Intelligent Framework for Power Data Asset Evaluation by Lihong Ge, Xin Li, Li Wang, Jian Wei, Bo Huang

“…It can simultaneously capture short-term local features and long-term global trends in power data, help to deeply mine spatial correlations and local patterns in data, effectively extract fine relationships between variables and optimize information flow. …”
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Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

“…Furthermore, incorporating the small-scale spatial patterns of tree species can enhance the precision of carbon storage estimation.…”
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Normative structural connectome constrains spreading transient brain activity in generalized epilepsy by Jie Xia, Siqi Yang, Jiao Li, Yao Meng, Jinpeng Niu, Huafu Chen, Zhiqiang Zhang, Wei Liao

“…Conclusions Our findings suggest that the structural connectome shapes the spatial patterning of brain activity abnormalities, advancing our understanding of the network-level mechanisms underlying vulnerability to abnormal brain activity onset and propagation in GGE-GTCS.…”
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What can we learn about multi-hazard impacts from global disaster records? by W. S. Jäger, M. C. de Ruiter, T. Tiggeloven, P. J. Ward, P. J. Ward

“…The analysis suggests distinct patterns of compounding impacts, which vary depending on hazard and impact type. …”
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Grain Self-Sufficiency in Guangdong, China: Current Trends and Future Perspectives by Yi Xiao, Jianya Zhao, Yanglan Zhang, Shu Wang

“…This study investigates the spatial and temporal patterns of the rate of grain self-sufficiency (RSSG) at the county levels in Guangdong Province from 2014 to 2023. …”
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Characterization of mangrove mudflat sediment contamination by fecal bacteria and trace metals: A multivariate assessment in equatorial marine protected areas in Gabon, Western Cen... by Johann Ludovic Martial Happi, Aimé Roger Nzigou, Gauthier Schaal, Marie-Laure Rouget, Rolf Gael Mabicka Obame, François Le Loc'h, Jean-Daniel Mbega, Christophe Leboulanger, Patrick Mickala

“…Chlorophyll a at the surface of sediments, indicative of microphytobenthic biomass, reflect the eutrophication from urban discharge. Spatial differences in contamination patterns are significant between Libreville and Akanda, and between Akanda and Pongara parks (p < 0.05), but not significant between Libreville and Pongara National Park (p > 0.05), suggesting a possible rapid dispersion of urban pollution. …”
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Monitoring volcanic gas hazards in Goma DRC using GIS and Google Earth Engine by Hagir A. Abdelhamid, Kholoud M. AbdelMaksoud, El-Sayed I. Gaber, Kambale W. kavyavu, Wael M. Al-Metwaly

“…These geospatial analyses can delineate hazardous zones based on established lava flow patterns, thereby mitigating future infrastructural development in high-risk areas. …”
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DiffCoRank: a comprehensive framework for discovering hub genes and differential gene co-expression in brain implant-associated tissue responses by Anirban Chakraborty, Erin K. Purcell, Michael G. Moore

“…A key innovation of our approach is false discovery rate (FDR) based selection of strongly connected genes (SCGs), by which we improve detection of strong coexpression patterns that otherwise could be lost to spurious correlations. …”
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Dispersal-based processes as drivers of fish communities and species distributions in the Yangtze River–Poyang Lake riverine floodplain of China by Tao Chang, Mingzheng Li, Xin Gao

“…Herein, we investigated the distribution patterns of fish communities along the landscape gradient in the Yangtze River–Poyang Lake riverine floodplain (YPF) of China, with the goal of understanding assembly processes that shape fish communities among different habitats and their possible linkage to hydrological disturbances. …”
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Deconstructing the spatiotemporal characteristics of extreme precipitation events from multiple data products during Indian summer monsoon by Sandipan Paul, Priyank J. Sharma, Ramesh S.V. Teegavarapu

“…MSWEP shows the best performance with the lowest bias and highest detectability, while MSWEP and APHRODITE best preserve spatial patterns of median EPEs. No consistent EPE trend clusters are found. …”
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Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach by Muhammad Ahmad, Grigori Sidorov, Maaz Amjad, Iqra Ameer, Ildar Batyrshin

“…This study investigates the efficacy of an automated tool leveraging natural language processing and transformer model, such as RoBERTa, to analyze patterns of substance use. By systematically examining these patterns, the model contributes to public health surveillance efforts, facilitating the identification of at-risk populations and informing the development of targeted interventions. …”
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