Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors by Shuyuan Tang, Yiqing Zhou, Jintao Li, Chang Liu, Jinglin Shi

“…In complex and variable urban settings, these compounded occlusion patterns critically limit the efficacy of both one-stage and two-stage pedestrian detectors, leading to suboptimal detection performance. …”
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Spatiotemporal Responses of Global Vegetation Growth to Terrestrial Water Storage by Chao Wang, Aoxue Cui, Renke Ji, Shuzhe Huang, Pengfei Li, Nengcheng Chen, Zhenfeng Shao

“…We proposed a Pearson-ACF time lag analysis method that combined dynamic windowing and enhanced accuracy to capture spatial correlations and temporal lag effects in vegetation responses to TWS changes. …”
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Uncovering the Uncertainties and Variability of Travel Time and Fuel Consumption Using Floating Car Data: A Case Study in Wuhan by Wenxin Teng, Fei Liu, Jianbing Yang, Chaoyang Shi, Yunfei Zhang, Fuqiang Wang

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Place‐based and people‐centred: Principles for a socially inclusive Net Zero transition by Lucie Middlemiss, Carolyn Snell, Samanthi Theminimulle, Tania Carregha, Emily Morrison, Yekaterina Chzhen, Kelli Kennedy, Anne Owen

“…We conclude by offering three principles for tailoring research and policy to specific geographic and socio‐economic needs, including (1) recognising patterns of difference and their spatial and social roots, (2) bringing whole life experiences into narratives of the future and (3) prioritising social inclusion in climate policy.…”
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Wildlife students as community scientists provide statewide detection data to help non‐invasively monitor Oklahoma bobcats by Nathan J. Proudman, Michelle L. Haynie, Victoria L. Jackson, Jerrod Davis, W. Sue Fairbanks

“…Abstract Community science projects are ideal for collecting species data at large spatial scales and can connect the public with the management and conservation of native wildlife. …”
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A Factorial-Clustered Copula Covariate Analysis for Interaction Effects of Multiple Climate Factors on Vegetation Cover in China by Feng Wang, Yiting Wei, Ruixin Duan, Jiannan Zhang, Xiong Zhou

“…Joint probability analysis revealed diverse dependency patterns across clusters, highlighting the complex interplay between climatic and non-climatic factors. …”
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Understanding the spatio-temporal distribution of bush encroachment in savannah rangelands, South Africa by Thabang Maphanga, Cletah Shoko, Mbulisi Sibanda, Kgabo Humphrey Thamaga, Timothy Dube

“…The findings of this study offer a significant understanding of the historical patterns of bush encroachment over the past three decades. …”
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A Review of Multiscale Interaction Mechanisms of Wind–Leaf–Droplet Systems in Orchard Spraying by Yunfei Wang, Zhenlei Zhang, Ruohan Shi, Shiqun Dai, Weidong Jia, Mingxiong Ou, Xiang Dong, Mingde Yan

“…Its coupling mechanisms fundamentally influence pesticide transport pathways, deposition patterns, and drift behavior within crop canopies, forming the foundational basis for achieving intelligent and site-specific spraying operations. …”
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Community assembly characteristics of abundant and rare bacterial taxa in water, sediment and riparian soil of Wujiang river, China by Yang Yang, Chen Chen, Hans-Peter Grossart, Yingliang Liu

“…We hypothesized that (1) community composition and diversity differ among habitats; (2) AT and RT communities exhibit distinct biogeographic patterns; (3) the community assembly processes differ between AT and RT within and across habitat. …”
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Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China by Yi Xiao, Xi Rao, Ming Chang, Liang Chen, Huan Huang

“…Furthermore, this study employs the Standard Deviational Ellipse (SDE) model to explore their spatial–temporal evolution patterns and identify key constraints to resilience enhancement through an obstacle degree model. …”
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Prediction models show differences in highly pathogenic avian influenza outbreaks in Japan and South Korea compared to Europe by Lene Jung Kjær, Carsten Thure Kirkeby, Anette Ella Boklund, Charlotte Kristiane Hjulsager, Anthony D. Fox, Michael P. Ward

“…The model included seasonality and covariates in both endemic and epidemic components and revealed consistent yearly seasonal patterns. This contrasts with previous modelling of European data where seasonality changed over time. …”
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Perforation and Loading Parametric Effects on Dynamic Rock Deformation and Damage Behaviors During Initial Fracturing Stages in Tight Reservoirs by Bo Chen, Abulimiti Aibaibu, Yuan Liu, Xinwei Guo, Hua Zhou, Xuyang Guo, Bolong Zhu, Xiangyun Zhao

“…The study characterized the spatial and temporal evolution of plastic strain, displacement, acceleration, and strain rate in rock formations. …”
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Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope by Ankit Patnala, Scarlet Stadtler, Scarlet Stadtler, Martin G. Schultz, Martin G. Schultz, Juergen Gall, Juergen Gall

“…Crop data often consists of field parcels or sets of pixels from small spatial regions. Additionally, one needs to account for temporal patterns to correctly label crops. …”
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Spatio‐Temporal Dynamics of Invasive Spartina Alterniflora and Its Functional Traits' Responding to Hydro‐Meteorology by Bolin Fu, Bingyan Yuan, Hang Yao, Weiwei Sun, Mingming Jia, Zuofang Yao, Yeqiao Wang

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Combining the digital filtering method with the SWAT model to simulate spatiotemporal variations of baseflow in a mountainous river basin by Hongxin Duan, Lian Li, Zhigang Kong, Xuchun Ye

“…This study combined the digital filtering method with the SWAT model to examine the temporal and spatial patterns of baseflow across the Ganjiang River Basin, and quantitatively assessed land use change impact on baseflow. …”
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A new high-resolution groundwater isoscape for south-east Germany: insights from differences in relation to precipitation by A. Gaillard, R. van Geldern, J. A. C. Barth, C. Stumpp

“…Further comparative studies between the stable water isotopes of precipitation and groundwater, including time series, are needed to further improve our understanding of the spatial and seasonal recharge patterns of groundwater.…”
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FFT-RDNet: A Time–Frequency-Domain-Based Intrusion Detection Model for IoT Security by Bingjie Xiang, Renguang Zheng, Kunsan Zhang, Chaopeng Li, Jiachun Zheng

“…The core innovation of FFT-RDNet lies in its novel two-dimensional spatial feature modeling approach, realized through a dedicated dual-path feature embedding module. …”
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East Asian aerosol cleanup has likely contributed to the recent acceleration in global warming by Bjørn H. Samset, Laura J. Wilcox, Robert J. Allen, Camilla W. Stjern, Marianne T. Lund, Sharar Ahmadi, Annica Ekman, Maxwell T. Elling, Luke Fraser-Leach, Paul Griffiths, James Keeble, Tsuyoshi Koshiro, Paul Kushner, Anna Lewinschal, Risto Makkonen, Joonas Merikanto, Pierre Nabat, Larissa Narazenko, Declan O’Donnell, Naga Oshima, Steven T. Rumbold, Toshihiko Takemura, Kostas Tsigaridis, Daniel M. Westervelt

“…Here we show, using a large set of simulations from eight Earth System Models, how a time-evolving 75% reduction in East Asian sulfate emissions partially unmasks greenhouse gas-driven warming and influences the spatial pattern of surface temperature change. We find a rapidly evolving global, annual mean warming of 0.07 ± 0.05 °C, sufficient to be a main driver of the uptick in global warming rate since 2010. …”
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. …”
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AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder by Yunseung Lee, Pilsung Kang

“…Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. …”
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