Spatiotemporal patterns and environmental determinants of wildlife-vehicle collisions in Banke National Park, Nepal by Narayan Prasad Koju, K. C. Anish, Keshav Dodhari, Pratikshya Giri, Miriam Lee, Sudip Pokhrel, Asmina Ghimire, Lila Nyaichyai, Kenneth Otieno Onditi, Xuelong Jiang, Randall C. Kyes

“…The methodological approach integrated field surveys, spatial analyses using kernel density estimation, and statistical modelling to pinpoint collision hotspots and elucidate contributing factors. …”
Get full text

A renewable double plasma mirror for Petawatt-class lasers by Nick Czapla, Derek M. Nasir, Lieselotte Obst-Huebl, Anthony Zingale, Jianhui Bin, Anthony J. Gonsalves, Sven Steinke, Kei Nakamura, Carl B. Schroeder, Eric Esarey, Cameron G. R. Geddes, Douglass W. Schumacher

“…We present the first measurements of a beam reflected from a single or double plasma mirror system using a wavefront sensor, showing a well preserved wavefront and spatial mode. Finally, we introduce a model that predicts the total throughput through this double plasma mirror. …”
Get full text

Co‐Occurring Extremes of Fine Particulate Matter (PM2.5) and Ground‐Level Ozone in the Summer of Southern China by Yan Lyu, Haonan Wu, Xiaoran Liu, Fuliang Han, Fengmao Lv, Xiaobing Pang, Jianmin Chen

“…Through combining multi‐source data, Random Forest model well predicts PM2.5‐ozone co‐occurrence and identifies common precursors (e.g., volatile organic compounds) as important variables. …”
Get full text

The Effects of Climate Change on Human Behavior and Stress by Mitra Sadat Fathifard, Fateme Javid, Abbas Rahdan

“…All processes and data analysis in GIS environment were assessed using the Inverse Distance Weighting (IDW) statistical model, which predicts the spatial structure of unknown points based on the correlation between measured points. …”
Get full text

A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches by Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Sina Shaffiee Haghshenas, Vladimir Simic, Dragan Pamucar, Giuseppe Guido, Vittorio Astarita

“…The review specifically explains unsupervised methods like fuzzy c-means, k-means, and density-based spatial clustering of applications with noise, as well as supervised techniques such as artificial neural networks, k-nearest neighbors, and support vector machines. …”
Get full text

Pervasive glacier retreats across Svalbard from 1985 to 2023 by Tian Li, Stefan Hofer, Geir Moholdt, Adam Igneczi, Konrad Heidler, Xiao Xiang Zhu, Jonathan Bamber

“…Abstract A major uncertainty in predicting the behaviour of marine-terminating glaciers is ice dynamics driven by non-linear calving front retreat, which is poorly understood and modelled. …”
Get full text

Suitable scale structures for urban multi-functions: an integrative approach grounded in socio-ecological system analysis by Wuyang Hong, Shuwen Yang, Renzhong Guo, Yelin Li, Lin Jiang, Xiaoming Li

“…Abstract Aims Research on the appropriate scale structure and spatial layout of ecological, urban, and agricultural spaces and the effective and methodical development and protection of urban space can provide a solid foundation for the sustainable development of the complex socio-economic urban environment. …”
Get full text

Spatiotemporal Impacts of Urban Structure and Socioeconomic Factors on Carbon Dioxide Emissions: A Case Study of the Yangtze River Delta Urban Agglomeration by Zhechen Zhou, Su Xu, Jun Wang, Haitao Shen

“…The results show the following: (a) The spatial differentiation of urban structures between cities was obvious, and 4 landscape indices showed significant spatial autocorrelation. …”
Get full text

Predator guards on nest boxes improve nesting success of birds by Robyn L. Bailey, David N. Bonter

“…Across all species, top models predicting daily nest survival rates suggest a positive influence of predator guards, with a nearly 7% increase in nest success for attempts in boxes with guards versus attempts in boxes without guards. …”
Get full text

Significance of Cloud Microphysics and Cumulus Parameterization Schemes in Simulating an Extreme Flood-Producing Precipitation Event in the Central Himalaya by Ujjwal Tiwari, Andrew B. G. Bush

“…Precipitation was concentrated over the sub-Himalaya, and the established forecasting systems failed to predict the event. In this study, we evaluate the performance of six cloud microphysics schemes in the Weather Research and Forecasting (WRF) model forced with the advanced ERA5 dataset. …”
Get full text

Differences in the functional use of two migratory stopovers by humpback whales (Megaptera novaeangliae). by Raphael Mayaud, Joshua N Smith, David Peel, Craig Wilson, Wally Franklin, Tim Stevens, Susan Bengtson Nash

“…We examined population structure, behaviour, and habitat segregation, and developed spatial density surface models to predict density distribution patterns at each respective site. …”
Get full text

Long‐term data reveals increase in vehicle collisions of endangered birds in Hokkaido, Japan by Kazuya Kobayashi, Annegret Moto Naito‐Liederbach, Toshio Sadakuni, Yuta Morii

“…These results suggest that long‐term data accumulation over large spatial scales allows us to understand the dynamics of accidents and predict potential factors underlying collision risks.…”
Get full text

Indian summer monsoon’s role in shaping variability in Arctic sea ice by Jiawei Zhu, Zhiwei Wu

“…Additionally, from a dynamic standpoint, low-level wind-driven sea ice drift helps shape the spatial distribution and extent of sea ice cover. …”
Get full text

Comparative analysis of injection rate and spray characteristics of ammonia and diesel from multi-hole diesel injector by Seonho Park, Gyuhan Bae, Seoksu Moon

“…It was further found that the spray penetration of ammonia and diesel can be scaled and predicted based on a conventional momentum-conservation-based spray penetration model.…”
Get full text

FAMHE-Net: Multi-Scale Feature Augmentation and Mixture of Heterogeneous Experts for Oriented Object Detection by Yixin Chen, Weilai Jiang, Yaonan Wang

“…Current detectors struggle with integrating spatial and semantic information effectively across scales and often omit necessary refinement modules to focus on salient features. …”
Get full text

Environmental drivers of Culicoides phenology: how important is species-specific variation when determining disease policy? by Kate R Searle, James Barber, Francesca Stubbins, Karien Labuschagne, Simon Carpenter, Adam Butler, Eric Denison, Christopher Sanders, Philip S Mellor, Anthony Wilson, Noel Nelson, Simon Gubbins, Bethan V Purse

“…We conclude that the current treatment of Avaritia Culicoides as a single group inhibits understanding of environmentally-driven spatial variation in species phenology and hinders the development of models for predicting the SVFP from environmental factors. …”
Get full text

Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…We used convolutional neural network-based models pretrained on large-scale open-domain data to extract spatial features of CE images that were then used in a dense feed-forward neural network classifier. …”
Get full text

Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method by Fa Li, Qing Zhu, Kunxiaojia Yuan, Fujiang Ji, Arindam Paul, Peng Lee, Volker C. Radeloff, Min Chen

“…Abstract More frequent and widespread large fires are occurring in the western United States (US), yet reliable methods for predicting these fires, particularly with extended lead times and a high spatial resolution, remain challenging. …”
Get full text

Geospatial SHAP interpretability for urban road collapse susceptibility assessment: a case study in Hangzhou, China by Bofan Yu, Hui Li, Huaixue Xing, Weiya Ge, Liling Zhou, Jinrui Zhang, Meijun Xu, Cheng Yu

“…In addition to interpreting the contributions of evaluation factors through traditional SHAP summaries and bar plots, we displayed the SHAP values for each evaluation factor using map visualizations, and discussed the model’s sensitivity to different values. To validate the alignment between model predictions and physical collapse mechanisms, our study selected typical collapse cases, interpreted these cases combining map visualizations, SHAP force plots at collapse points, and the physical mechanisms of collapse. …”
Get full text

Multi-Phase Trajectory Planning for Wind Energy Harvesting in Air-Launched UAV Swarm Rendezvous and Formation Flight by Xiangsheng Wang, Tielin Ma, Ligang Zhang, Nanxuan Qiao, Pu Xue, Jingcheng Fu

“…The trajectory planning method is formalized as an optimal control problem (OCP) that ensures spatial–temporal coordination, inter-vehicle collision avoidance, and incorporates a 3-degree of freedom kinematic model of UAVs, extending wind energy harvesting trajectory optimization from an individual UAV to swarm-level applications. …”
Get full text