Anticipating climate change-related mobility in Karachi and Ho Chi Minh City: lessons from a hybrid foresight approach by Aaron Martin, Boukje Kistemaker, Beth Allen, Bryan Jones

“…Focusing on Karachi and Ho Chi Minh City, the project estimated temporal and spatial mobility patterns under different climate change scenarios and evaluated the impact of such in-migration across key social, political, economic, and environmental domains. …”
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Differential Responses of Plankton Communities to Environmental Changes in the Liuqinghe Bay Estuary by Chenshi WENG, Zhixiang LI, Yingzhe WANG, Dongsheng DING, Zhengguo CUI, Keming QU, Haiyan HU, Yuqiu WEI

“…Overall, there were significant spatial and temporal variations in plankton in Liuqinghe Bay, in which the main influences on plankton-dominant species in spring and summer were temperature and nutrient salt concentration, while the main drivers affecting plankton-dominant species in autumn were temperature, salinity, and nutrient salts, and there was a potential for red tides to occur in spring and autumn. …”
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Nitrate contamination in deep aquifers: Health risks and spatiotemporal analysis in an arid region of the Algerian Sahara by Amor Bencheikh, Imad Eddine Bouznad, Rabah Zebsa, Omar Ramzi Ziouch, Zinette Bensakhri, Mohamed-Salah Belksier, Djamal Bengusmia, Enrico Guastaldi

“…The temporal pattern of annual average nitrate concentration during 2014–2022 showed a significant increase with a slope of 1.04 mg/L year−1. …”
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Generation and characterization of a tamoxifen-inducible lineage tracing tool Cd2-P2A-CreERT2 knock-in mice by Yang Guo, Mengyan Zhu, Zhilan Yu, Qing Li, Yanjuan Chen, Lei Ci, Ruilin Sun, Ruling Shen

“…The Cre-loxp recombination system is widely used to activate or inactivate genes with high spatial and temporal specificity.MethodsUsing the CRISPR/Cas9 system, we inserted the CreERT2 transgene expression cassette into the Cd2 gene locus to generate conditional Cre-driver line Cd2-CreERT2 knock-in mice, which drove the expression of CreERT2 by the endogenous Cd2 promoter. …”
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A comprehensive spatiotemporal and risk reduction drought assessment study utilizing SPEI index for Urmia Lake Basin, Iran by Sadaf Samiei, Mohammadali Alijanian

“…Hence, this study performs a comprehensive drought assessment, considering temporal, spatial, and risk reduction aspects. Using a 50-year (1971–2020) time series of multivariate Standardized Precipitation-Evapotranspiration Index (SPEI) data (3, 6, 9, and 12-month timescales), the study employs Mann-Kendall, modified Mann-Kendall, and Sen's slope analyses to determine drought trends, examines spatial patterns using Severity Area Frequency (SAF) curves, and finally, evaluates drought risk reduction using resilience, vulnerability, and exposure factors. …”
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vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations by Christian L. Vielhaus, Mauri Seidel, Vincent Latzko, Alexander Grob, Peter Sossalla, Martin Reisslein, Frank H. P. Fitzek

“…We analyze the distributions as well as the temporal and spatial variations of the received signal quality metrics of the radio environments and compare the end-to-end throughput, delay, and handovers.…”
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Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks by Jiecheng Wu, Jiecheng Wu, Ning Su, Xinjin Li, Xinjin Li, Chao Yao, Jipeng Zhang, Xucheng Zhang, Wei Sun

“…Using ST-GCN, we extracted spatial and temporal patterns from these five states directly from the data, thereby enhancing the accuracy of gait parameter calculation. …”
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Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid by Syed Muhammad Hasanat, Muhammad Haris, Kaleem Ullah, Syed Zarak Shah, Usama Abid, Zahid Ullah

“…The proposed model leverages Convolution Neural Networks (CNNs) to extract spatial patterns, LSTMs to capture temporal dependencies, and attention mechanisms to prioritize important information, enhancing predictive performance. …”
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Influence of Regional PM2.5 Sources on Air Quality: A Network-Based Spatiotemporal Analysis in Northern Thailand by Khuanchanok Chaichana, Supanut Chaidee, Sayan Panma, Nattakorn Sukantamala, Neda Peyrone, Anchalee Khemphet

“…This study investigated the spatial and temporal dynamics of PM2.5 in northern Thailand. …”
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Leaves and Tree Rings as Biomonitoring Archives of Atmospheric Mercury Deposition: An Ecophysiological Perspective by Fabrizio Monaci, Davide Baroni

“…This perturbation profoundly affects global atmospheric Hg concentrations, residence times, and spatial distribution patterns. While early investigations focused on forest stands near heavily polluted areas, contemporary research has expanded to diverse ecosystems, revealing that trees provide tissues that function as temporal archives for atmospheric-terrestrial Hg exchange. …”
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MaxEnt Modeling of the Impacts of Human Activities and Climate Change on the Potential Distribution of <i>Plantago</i> in China by Da Liao, Bing Zhou, Haiyan Xiao, Yuxin Zhang, Shujian Zhang, Qitao Su, Xiaohong Yan

“…This study was conducted to elucidate the spatial distribution of <i>Plantago</i> species patterns across China and evaluate their differential responses to impending climate change and human interventions. …”
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Analysis of LULC Change Dynamics That Have Occurred in Tuscany (Italy) Since 2007 by Lorenzo Arcidiaco, Manuela Corongiu

“…Specifically, data spanning five temporal intervals (2007, 2010, 2013, 2016, and 2019) enabled a comprehensive comparative analysis of spatial persistence in LULC patterns. …”
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Lightweight graph convolutional network with multi-attention mechanisms for intelligent action recognition in online physical education by Yuhao You

“…Existing action recognition models are often computationally intensive and struggle to generalize across diverse skeletal patterns. To address this, we propose a lightweight graph convolutional network (GCN) that integrates an improved Ghost module with multi-attention mechanisms, including a global attention mechanism (GAM) and a channel attention mechanism (CAM), to enhance spatial and temporal feature extraction. …”
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The Multi-Compartment Hg Modeling and Analysis Project (MCHgMAP): mercury modeling to support international environmental policy by A. Dastoor, H. Angot, J. Bieser, F. Brocza, F. Brocza, B. Edwards, A. Feinberg, A. Feinberg, X. Feng, X. Feng, B. Geyman, C. Gournia, Y. He, I. M. Hedgecock, I. Ilyin, J. Kirk, C.-J. Lin, C.-J. Lin, I. Lehnherr, R. Mason, D. McLagan, D. McLagan, M. Muntean, P. Rafaj, E. M. Roy, A. Ryjkov, N. E. Selin, N. E. Selin, F. De Simone, A. L. Soerensen, F. Steenhuisen, O. Travnikov, S. Wang, S. Wang, X. Wang, S. Wilson, R. Wu, Q. Wu, Q. Wu, Y. Zhang, J. Zhou, W. Zhu, S. Zolkos

“…The primary goals of the project are to facilitate detection and attribution of recent (observed) and future (projected) spatial patterns and temporal trends of global environmental Hg levels and identification of key knowledge gaps in Hg science and modeling to improve future effectiveness evaluation cycles of the MEAs. …”
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Remote Sensing-Based Analysis of the Coupled Impacts of Climate and Land Use Changes on Future Ecosystem Resilience: A Case Study of the Beijing–Tianjin–Hebei Region by Jingyuan Ni, Fang Xu

“…The results reveal the following: (1) Temporally, ecosystem resilience exhibited a staged pattern of change. …”
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Investigating difficult to detect pancreatic lesions: Characterization of benign pancreatic islet cell tumors using multiparametric pancreatic 3-T MRI. by Kwadwo Antwi, Patricia Wiesner, Elmar M Merkle, Christoph J Zech, Daniel T Boll, Damian Wild, Emanuel Christ, Tobias Heye

“…Dynamic contrast-enhanced (DCE) Magnetic Resonance Images (MRI) with Golden-Angle-Radial-Sparse-Parallel (GRASP) reconstruction, enabling imaging at high spatial and temporal resolution, was used to assess enhancement-patterns of PICTs. …”
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Multi-century mean summer temperature variations in the Southern Rhaetian Alps reconstructed from <i>Larix decidua</i> blue intensity data by R. Cerrato, M. C. Salvatore, M. C. Salvatore, M. Brunetti, A. Somma, C. Baroni, C. Baroni

“…Considering their high temporal resolution, dendrochronological data have been recognized as a fundamental tool for reconstructing past climate variations. …”
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Research on the charging periods of the ultra-shallow play in front of the Hashan area, northwestern margin of the Junggar Basin by WANG Qianjun, ZHOU Jian, ZHANG Faqiang, YU Hongzhou, WU Qianqian, LU Hongli, LIU Qingxin, ZHOU Yu, CHENG Ming, YAN Jianzhao, LYU Yanfang

“…This stratigraphic variation in charging behavior offers crucial insights into the temporal and spatial distribution of hydrocarbons within the study area. (3) Calcite U–Pb dating identified two major thermal events at approximately 133 Ma (Early Cretaceous) and 73 Ma (Late Cretaceous). …”
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Spatiotemporal Change in Climate Variables and Resources of Wind， Solar Radiation and Precipitation in Qinghai Province from 1961 to 2021 by Meixia DUAN, Miaoni GAO, Han JIANG, Runhong XU, buda SU, Tong JIANG

“…In order to evaluate the potential of wind， solar radiation and precipitation in guaranteeing the development of clean energy comprehensively， this study analyzed the temporal and spatial changes in climate variables and resources of wind speed， solar radiation and precipitation in Qinghai Province throughout the year and four seasons from 1961 to 2021 based on the observation data of daily 10-meter-height wind speed， sunshine duration and precipitation at 51 meteorological stations.The results are as follows： （1） The annual average wind speed， solar radiation and precipitation in Qinghai Province are 2.67 m·s-1， 6084.2 MJ·m-2， and 299.7 mm， respectively.Wind speed tends to be higher in the western regions and lower in the east， which exceeds 3 m/s and reaches the standard for wind energy resource development in western Qinghai.The annual solar radiation in the entire Province exceeds 5040 MJ·m-2， and reaches the "very rich" level according to China Solar energy GB Standards.The solar radiation of Qaidam Basin is at its highest abundance level， which is ideal for solar energy resource development.Precipitation generally decreases from southeast to northwest.The resources of wind， solar radiation， and precipitation in Qinghai Province exhibits seasonal complementarity， characterized by a pattern of “strong winds， good sunlight， and less water in spring， whereas weak winds， good sunlight， and abundant water in summer”.（2） Under climate change， the annual average wind speed and total solar radiation in Qinghai Province show a significant decrease at rates of 0.16 m·s-1·10a-1and 29.04 MJ·m-2·（10a）-1， respectively.The western and central parts of Haixi are most affected by these changes， but the wind speed and solar radiation still remain within the acceptable range for wind energy and photovoltaic resource development.Meanwhile， precipitation increases significantly at a rate of 8.85 mm·（10a）-1， with the largest increase observed in western Yushu， eastern Haixi and northern Guoluo.The most significant decrease in wind speed is observed in spring， while summer solar radiation decreases at the fastest rate but with a substantial increase in precipitation.The changes in solar radiation and precipitation could be ascribed to the increased cloud cover in this region.（3） The changes in the areas where wind speed and solar radiation meet suitable development standards in Qinghai Province are not significant with reduced variabilities， which could ensure the stable development of clean energy.Wind energy resources in western Qinghai （such as Tanggula Mountains）， solar energy resources in the Qaidam Basin， and water energy resources in the three major river basins of the Yangtze River， Yellow River， and Lancang River have great potential for development.Overall， the results provide a theoretical foundation for the development of a balanced clean energy system encompassing wind， solar and hydropower.This contributes to achieving national "dual carbon" goals and enhancing the high-quality development of Qinghai Province.…”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

“…GEDI LiDAR proved to be a necessary input for accurate SV and AGB retrieval, and GPR was the best-performing ML algorithm. The resulting spatial maps were artifact-free and successfully delineated ecological gradients and management patterns. …”
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