Multi-Scenario Land Use and Carbon Storage Assessment in the Yellow River Delta Under Climate Change and Resource Development by Zekun Wang, Xiaolei Liu, Shaopeng Zhang, Xiangshuai Meng, Hongjun Zhang, Xingsen Guo

“…The results of the study show the following: (1) Over the past 30 years, the land use pattern of the YRD has generally extended toward the sea, with land use transitions mainly from grasslands (the largest reduction: 1096.20 km²), wetlands, reservoirs and ponds, and paddy fields to drylands, culture areas, construction lands, salt pans, and tidal flats. (2) Carbon storage in the YRD exhibits significant spatial heterogeneity. …”
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Assessment the Effects of Climate Change on the Degree of Heating and Cooling Days of Iran by Hasan Zolfaqari, Hamid Rahimi, Rohollah Oji

“…Downscaled output of three RCM models of CNRM، EC-Earth and GFDL, with the spatial resolutions of 0.44 degrees under two emissions trajectories (RCPs 4.5 and 8.5), are applied in this regard. …”
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FDI-VSR: Video Super-Resolution Through Frequency-Domain Integration and Dynamic Offset Estimation by Donghun Lim, Janghoon Choi

“…In this paper, we propose FDI-VSR, a novel framework that integrates spatiotemporal dynamics and frequency-domain analysis into conventional SISR models without extensive modifications. We introduce two key modules: the Spatiotemporal Feature Extraction Module (STFEM), which employs dynamic offset estimation, spatial alignment, and multi-stage temporal aggregation using residual channel attention blocks (RCABs); and the Frequency–Spatial Integration Module (FSIM), which transforms deep features into the frequency domain to effectively capture global context beyond the limited receptive field of standard convolutions. …”
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A novel ecological risk assessment method of potentially toxic elements based on soil nematode communities by Xiujuan Yang, Li Cao, Bijun Cheng, Huirong Duan, Zixuan Fu, Xiaofang Xu, Qianying Xiang, Shuhan Wang, Xiaoqing Yan, Zhihong Zhang, Hongmei Zhang

“…Applying general community indices and NBIs, Ridge and RF models can effectively predict the ecological risks of PTEs.…”
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Future projections of Siberian wildfire and aerosol emissions by R. K. Nurrohman, R. K. Nurrohman, T. Kato, H. Ninomiya, L. Végh, N. Delbart, T. Miyauchi, H. Sato, T. Shiraishi, R. Hirata

“…We integrated the widely used SPread and InTensity of FIRE (SPITFIRE) fire module into the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM) to improve the accuracy of fire predictions and then simulated future fire regimes to better understand their impacts. …”
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Redox regulation and dynamic control of brain-selective kinases BRSK1/2 in the AMPK family through cysteine-based mechanisms by George N Bendzunas, Dominic P Byrne, Safal Shrestha, Leonard A Daly, Sally O Oswald, Samiksha Katiyar, Aarya Venkat, Wayland Yeung, Claire E Eyers, Patrick A Eyers, Natarajan Kannan

“…The occurrence of spatially proximal Cys amino acids in diverse Ser/Thr protein kinase families suggests that disulfide-mediated control of catalytic activity may be a prevalent mechanism for regulation within the broader AMPK family.…”
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Comparison of Fuzzy-AHP and ANP Decision Making Methods to Assess the Ecological Capability of Ecotourism Application (Case study: Dehloran National Natural Monuments) by Mohsen Tavakoli

“…Then, to combine the layers, the model of overlapping index or linear weight composition was used. 3-Results and Discussion Using the GIS on the slope of the linear reduction subscription function, the trajectory linear membership function layer and the temperature layer, an incremental linear membership function was applied. …”
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Deep learning-driven 3D marine nitrate estimation: uncertainty mitigation through underwater signal exploitation and label augmentation by Xiang Yu, Guodong Fan, Jinjiang Li

“…Quantitative evaluations using BGC-Argo and cruise measurement data demonstrate notable improvements in spatial and temporal generalization, with RMSE reductions of approximately 15% and 28%, respectively, particularly in under-sampled areas and complex upper ocean regions. …”
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A method integrating a non-stationary random field for constrained inversion of CSAMT data by Qianwei DAI, Luyao GUO, Yun WU, Zhexian XIONG, Dan DUAN, Zhonglin BAO, Hongfei WU, Fengyun HAO

“…Accordingly, this study developed a model covariance matrix meeting the non-stationary assumption. …”
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Unraveling the spatiotemporal dynamics and drivers of surface and tropospheric ozone in China by Shuai Yin, Chong Shi, Husi Letu, Zhijun Jin, Qingnan Chu, Huazhe Shang, Dabin Ji, Meng Guo, Kunpeng Yi, Xin Zhao, Tangzhe Nie, Zhongyi Sun

“…The meteorology correction model indicates that the downward trend is primarily attributed to the implementation of effective control plans (the Three-Year Action Plan for Cleaner Air) and the reduction of anthropogenic emissions. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. …”
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Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

“…The breakpoints in October and November can be explained by increasing grazing pressure as the herders moved to the winter camps while those occurring in spring are associated with enhanced vegetation growth after herders left for summer camps. (3) From a spatial perspective, the random forest model predicts summer and winter pastures with homogeneous patterns. …”
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Comprehensive geospatial analysis of urban expansion dynamic in Lahore, Pakistan (1998–2023) by Sona Karim, Yaning Chen, Patient Mindje Kayumba, Ishfaq Ahmad, Hassan Iqbal

“…To contribute, we used high-resolution Landsat imagery to analyze the spatial diverging patterns of urban extent from 1998 to 2023 in Lahore. …”
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Yield gap in cowpea plants as function of water déficits during reproductive stage by Paulo J. O. P. Souza, Vivian D. da S. Farias, João V. N. Pinto, Hildo G. G. C. Nunes, Everaldo B. de Souza, Clyde W. Fraisse

“…The total deficiencies in the reproductive phase were spatialized considering the 30 locations in order to assess the temporal and spatial seasonality of water availability and the sowing period in the study region. …”
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FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation by Abdalrahaman Ibrahim, Kyandoghere Kyamakya, Wolfgang Pointner

“…On the nuImages dataset, our model achieves an RMSE of 1.1358 m/s and an MAE of 0.9599 m/s, while on the KITTI dataset it records an RMSE of 1.9542 m/s and an MAE of 1.0610 m/s—reductions in error of up to 27.6% and 75.5% compared to baseline methods. …”
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Advances on the Links Between Turbulent and Submeso‐ to Mesoscales During EUREC4A by E. Gauvrit, M.‐N. Bouin, J.‐M. Delouis, F. Boulanger

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Specificity, propagation, and memory of pericentric heterochromatin by Katharina Müller‐Ott, Fabian Erdel, Anna Matveeva, Jan‐Philipp Mallm, Anne Rademacher, Matthias Hahn, Caroline Bauer, Qin Zhang, Sabine Kaltofen, Gunnar Schotta, Thomas Höfer, Karsten Rippe

“…From the experimental data, we developed a predictive mathematical model that explains how chromatin‐bound SUV39H1/2 complexes act as nucleation sites and propagate a spatially confined PCH domain with elevated histone H3 lysine 9 trimethylation levels via chromatin dynamics. …”
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Numerical simulation of plant root system stress response to coal mining disturbances in semiarid mining areas by Ying LIU, Weihao PEI, Yong GUO, Xiaoyang CHEN, Shaogang LEI, Dongjiang PAN, Chuangang GONG, Huiling TAO, Hang CHEN

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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…This study introduces an innovative MTL framework designed to incorporate Multi-Person Attribute Recognition (MPAR) within a single-model architecture. Named MPAR-RCNN, this framework unifies object detection and attribute recognition tasks through a spatially aware, shared backbone, facilitating efficient and accurate multi-label prediction. …”
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Assessing flash flood occurrences and hazard zones along the mediterranean coasts: a GIS and mapping techniques approach in the Wadi Saf Saf Basin, Northeast Algeria by Amal Maou, Amal Maou, Sabrina Souadnia, Sabrina Souadnia, Khadeijah Faqeih, Afaf AlAmri, Riheb Hadji, Riheb Hadji, Somayah moshrif Alamri, Khaled Harizi, Eman Alamery, Griche Sonia, Griche Sonia, Boubazine Leila, Boubazine Leila, Jamilah Altwaiher

“…This integrated approach highlights the spatial variability of flood vulnerability across the Saf Saf watershed and offers essential support for disaster risk reduction, structural mitigation planning, and informed land-use management in Mediterranean catchments.…”
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