Spatio-Temporal Joint Planning for Integrated Energy Systems with Internet Data Center Considering Privacy Preservation by WU Chengbang, CHENG Zhijiang, LU Haifeng, YANG Handi

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Meta-Learning Approach for Adaptive Anomaly Detection from Multi-Scenario Video Surveillance by Deepak Kumar Singh, Dibakar Raj Pant, Ganesh Gautam, Bhanu Shrestha

“…Leveraging the swin transformer as a spatial feature extractor, the model captures rich hierarchical representations from surveillance videos. …”
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On the convective nature of roll waves instability by C. Di Cristo, A. Vacca

“…Starting from this result a linear spatial stability analysis of the one-dimensional flow model is performed, in terms of time asymptotic response to a pointwise time periodic disturbance. …”
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Investigating the Nonlinear Relationship Between the Built Environment and Urban Vitality Based on Multi-Source Data and Interpretable Machine Learning by Wenhao Liu, Zhen Yang, Chen Gui, Gen Li, Hongyi Xu

“…Additionally, we analyze the determinants of urban vitality across both micro and macro-scales using multi-source data, semantic segmentation models, and street view imagery. Our findings reveal the following key insights: (1) the distribution of urban vitality exhibits spatial heterogeneity within the main urban area of Shanghai, with high vitality areas concentrated in the Huangpu District and at intersections with neighboring districts, demonstrating a decline from the center to the periphery; (2) the XGBoost model outperforms other comparative models, showcasing superior capabilities in simulating and predicting urban vitality; (3) among the various built environment factors influencing urban vitality, building coverage, population density, and distance to the CBD exert the most significant effects, while the green view index and the number of bus stops contribute relatively less; (4) all built environment factors demonstrate nonlinear impacts and exhibit certain threshold effects on urban vitality. …”
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geodl: An R package for geospatial deep learning semantic segmentation using torch and terra. by Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang

“…Common assessment metrics (i.e., overall accuracy, class-level recalls or producer's accuracies, class-level precisions or user's accuracies, and class-level F1-scores) are implemented along with a modified version of the unified focal loss framework, which allows for defining a variety of loss metrics using one consistent implementation and set of hyperparameters. Users can assess models using standard geospatial and remote sensing metrics and methods and use trained models to predict to large spatial extents. …”
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection by Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Madhu Nagaraj, Murlidhar Murlidhar, Ajit H. Goenka

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Aboveground biomass density maps for post-hurricane Ian forest monitoring in Florida by Inacio T. Bueno, Carlos A. Silva, Caio Hamamura, Victoria M. Donovan, Ajay Sharma, Jiangxiao Qiu, Jinyi Xia, Kody M. Brock, Monique B. Schlickmann, Jeff W. Atkins, Denis R. Valle, Jason Vogel, Andres Susaeta, Mauro A. Karasinski, Carine Klauberg

“…We combined Global Ecosystem Dynamics Investigation (GEDI) LiDAR data with synthetic aperture radar (SAR) and passive optical satellite imagery to model GEDI AGBD as a function of image-derived data, enabling predictions across the study area and producing continuous AGBD maps. …”
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Dissecting cirrus clouds: navigating effects of turbulence on homogeneous ice formation by Bernd Kärcher, Fabian Hoffmann, Adam B. Sokol, Blaž Gasparini, Milena Corcos, Eric Jensen, Rachel Atlas, Aurélien Podglajen, Hugh Morrison, Albert Hertzog, Riwal Plougonven, Kamal Kant Chandrakhar, Wojciech W. Grabowski

“…Here we shed first light on how turbulent fluctuations in temperature and supersaturation interact with probabilistic homogeneous freezing. We show that spatial model resolution substantially below 1–10 m is needed to properly simulate homogeneous freezing events. …”
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Physical activity in the relationship between multiple air pollutants exposure and risk of hypertension: a prospective cohort study in China by Yuquan Chen, Yanwei You, Jiarong He, Yuechuan Zhang, Qi Zhang, Fan Yang, Mingming Zhang

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HO 2 Generation Above Sprite‐Producing Thunderstorms Derived from Low‐Noise SMILES Observation Spectra by T. Yamada, T. O. Sato, T. Adachi, H. Winkler, K. Kuribayashi, R. Larsson, N. Yoshida, Y. Takahashi, M. Sato, A. B. Chen, R. R. Hsu, Y. Nakano, T. Fujinawa, S. Nara, Y. Uchiyama, Y. Kasai

“…A total of three areas was identified with enhanced HO 2 levels of approximately 10 25 molecules. A chemical sprite model indicates an increase in HO 2 in the considered altitude region; however, the predicted production due to a single sprite event is smaller than the observed enhancement. …”
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Cognitive characteristics and ischemic prognosis of quantitative white matter hyperintensities in adult moyamoya disease by Ziqi Liu, Xiaokuan Hao, Qi Duan, Chaoran Shen, Haojin Lyu, Junze Zhang, Jing Gu, Shihao He, Yanru Wang, Xilong Wang, Zhenyu Zhou, Ning Ma, Ran Duan, Xinlin Zhou, Xin Lou, Rong Wang

“…Results MMD patients present decreases in intelligence (P = 0.000), spatial working memory (P = 0.011), verbal working memory 1 (P = 0.000) and 2 (P = 0.000), mental rotation (P = 0.008), and executive inhibition (P = 0.011). …”
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Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) by D. C. Roman Quintero, P. Marino, A. Abdullah, G. F. Santonastaso, R. Greco

“…</p> <p>To extend the application to large areas, the uncertainties linked to the spatial variability of slope geomorphologic characteristics and hydrometeorological variables were considered as random errors. …”
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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

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Changes in habitat suitability for wintering dabbling ducks during dry conditions in the Central Valley of California by Erin E. Conlisk, Kristin B. Byrd, Elliott Matchett, Austen A. Lorenz, Michael Casazza, Gregory H. Golet, Mark D. Reynolds, Kristin A. Sesser, Matthew E. Reiter

“…Overall, species distribution models created using data on the environmental conditions present at the time of bird observations can aid conservation efforts under extreme conditions over large spatial scales.…”
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Optimum Equilibrium Passenger Flow Control Strategies with Delay Penalty Functions under Oversaturated Condition on Urban Rail Transit by Yonghao Yin, Dewei Li, Kai Zhao, Ruixia Yang

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Highly Efficient Broadband Light Absorber Based on Nonuniform Hyperbolic Metamaterial Film by Nina A. Zharova, Alexander A. Zharov, Alexander A. Zharov

“…Using the model of nanowire medium (silver wires in silica host) we predict that 200 nm film of this hyperbolic metamaterial allows reaching almost total absorption of radiation throughout the visible band.…”
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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…First, we propose the EIEStem module to enhance the backbone network's convolutional layers, significantly improving edge feature extraction and spatial information preservation. Second, we introduce the v7DS (YOLOv7 DownSample) module to replace conventional downsampling operators, effectively minimizing feature information loss during resolution reduction. …”
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Vegetation canopy height shapes bats’ occupancy: a remote sensing approach by F. C. Martins, S. Godinho, N. Guiomar, D. Medinas, H. Rebelo, P. Segurado, J. T. Marques

“…All species’ best-ranking occupancy models included at least one climatic variable (temperature, humidity, or potential evapotranspiration), demonstrating the importance of climate when predicting bat distribution. …”
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Prevalence and factors associated with unintended pregnancy among women in Ghana by Augustus Osborne, Florence Gyembuzie Wongnaah, Khadijat Adeleye, Camilla Bangura, Richard Gyan Aboagye, Bright Opoku Ahinkorah

“…Regional variations in the prevalence of unintended pregnancy were presented using a spatial map. A mixed-effect multilevel binary logistic regression models were fitted to examine the factors associated with unintended pregnancy using a four-modelled approach. …”
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Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

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