Simulation of a flash-flood event over the Adriatic Sea with a high-resolution atmosphere–ocean–wave coupled system by Antonio Ricchi, Davide Bonaldo, Guido Cioni, Sandro Carniel, Mario Marcello Miglietta

“…The event was triggered and maintained by the uplift over a convergence line between northeasterly flow from the Alps and southeasterly winds from the Adriatic Sea. Hindcast modelling experiments, using standalone atmospheric models, failed to capture the spatial distribution, maximum intensity and timing of the HPE. …”
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Epidemiological Characteristics of Human Rabies in Urban and Suburban Districts in Shanghai, 2006–2021 by Zhi Li, Jiayu Hu, Zhuoying Huang, Xiang Guo, Jia Ren, Jing Qiu, Xiaoying Ma, Han Yan, Fang Huang, Xiaodong Sun

“…Infection risk was predicted with a Bayesian aggression model. A total of 43 human rabies cases were registered in Shanghai in 2006–2021; the annual average incidence rate was 0.01/100000. …”
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MGNN: Moment Graph Neural Network for Universal Molecular Potentials by Jian Chang, Shuze Zhu

“…Abstract The quest for efficient and robust deep learning models for molecular systems representation is increasingly critical in scientific exploration. …”
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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

“…We have utilized a combinational use of NARX (Nonlinear Autoregressive model with eXogenous inputs) and Long Short-Term Memory (LSTM) models, which was successful in objectively re-confirming the anomalies in both parameters on the same day prior to the EQ. …”
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Covid-19 pandemic data analysis using tensor methods by Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca

“…Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition to predict spatiotemporal data from multiple spatial sources and to identifyCovid-19 hotspots. …”
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Research on status monitoring and positioning compensation system for digital twin of parallel robots by Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

“…Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. …”
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Clustering of Floating Tracer Due to Mesoscale Vortex and Submesoscale Fields by Dmitry V. Stepanov, Eugene A. Ryzhov, Alexei A. Zagumennov, Pavel Berloff, Konstantin V. Koshel

“…We found that the mesoscale vortices do not prevent clustering but significantly modify its rate and spatial pattern. We also demonstrated that even weak surface‐velocity divergence has to be taken into account to avoid significant errors in model predictions of the floating tracer patterns. …”
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All is not loss: plant biodiversity in the anthropocene. by Erle C Ellis, Erica C Antill, Holger Kreft

“…Here we explore contemporary anthropogenic global patterns in vascular plant species richness at regional landscape scales by combining spatially explicit models and estimates for native species loss together with gains in exotics caused by species invasions and the introduction of agricultural domesticates and ornamental exotic plants. …”
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Tropical precipitation extremes: Response to SST‐induced warming in aquaplanet simulations by Ritthik Bhattacharya, Simona Bordoni, João Teixeira

“…Abstract Scaling of tropical precipitation extremes in response to warming is studied in aquaplanet experiments using the global Weather Research and Forecasting (WRF) model. We show how the scaling of precipitation extremes is highly sensitive to spatial and temporal averaging: while instantaneous grid point extreme precipitation scales more strongly than the percentage increase (∼7% K−1) predicted by the Clausius‐Clapeyron (CC) relationship, extremes for zonally and temporally averaged precipitation follow a slight sub‐CC scaling, in agreement with results from Climate Model Intercomparison Project (CMIP) models. …”
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Pedestrian detection method based on improved YOLOv5 by Shangtao You, Zhenchao Gu, Kai Zhu

“…First, the HorNet to improve the higher-order spatial interaction capability of the model, expand the effective sensory field, and enhance the feature extraction of pedestrians. …”
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TU-DAT: A Computer Vision Dataset on Road Traffic Anomalies by Pavana Pradeep Kumar, Krishna Kant

“…These features enable robust model training for anomaly detection, spatial reasoning, and vision–language model (VLM) enhancement. …”
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Integrating Temporal Vegetation and Inundation Dynamics for Elevation Mapping Across the Entire Turbid Estuarine Intertidal Zones Using ICESat-2 and Sentinel-2 Data by Siqi Yao, Jianrong Zhu, Wanying Zhang, Bo Tian, Weiwei Sun, Weiguo Zhang, Weiming Xie, Pengjie Tao, Chunpeng Chen, Kai Tan

“…These two features effectively utilize the variations observed in different regions and land covers within the Sentinel-2 image series caused by the unique tide periodic fluctuation phenomenon and elevation trend law in intertidal zones, thereby rendering the method applicable to elevation prediction across the entire spatial range of intertidal zones, rather than being limited to nonvegetated regions. …”
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Studying and Analyzing Regional Inequalities (case study: cities of Ardabil province, Iran 2006 – 2011) by Bahram Imani, Roghayyeh Farshi, Reza Hashemi Masoomabad

“…In this study, to show the inequality between different cities in Ardebil province, 60 developmental indicators in different sections including health care, social, educational, cultural and infrastructural sections have been analyzed through VIKOR model. …”
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Research on the Diffusion of Vs55 Permeability in Rat Kidneys Based on Computer Tomography by Liu Ke, Xu Yi, Feng Haikao, Dang Hangyu, Yang Guoliang, Li Xin

“…When Vs55 concentration was 8.4 mol/L, the diffusion rates were 1.77××10-6cm2/s at 4 °C,2.94××10-6cm2/s at 22 °C, and 3.93××10-6cm2/s at 37 °C, respectively. The model was demonstrated to predict the spatial and temporal distribution of Vs55 in the kidney. …”
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Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…By leveraging the correlation between the top-of-atmosphere (TOA) shortwave radiative parameters and surface radiation, combined with high-precision fused CF datasets from multiple satellite sources, we construct a CF-dependent model to refine DSSR estimates. Based on this model, we construct GCF-CRKs using the CF as the sole perturbation parameter to isolate the CF CRE. …”
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Community knowledge, attitude, and practice, incidence of suspected cases, and epidemiological distribution of rabies in humans and animals in Southwest Shewa zone, Oromia, Ethiopi... by Tegegn Dilbato Dinbiso, Abebe Tibebu Mekonnen, Tolesa Negasa Olana, Gudina Mekonnen Ayana, Kebede Abdisa Kelbesa, Hana Dejene Deso, Segni Bedasa Gudina, Moges Kidane Biru, Moges Kidane Biru, Mulatu Ayana Hordofa, Mekonnen Sorsa Berecha

“…Therefore, this study aimed to assess the knowledge, attitude, and practice and to estimate the incidence and spatial distribution of rabies in humans and animals in the Southwest Shewa zone of Oromia, Ethiopia.MethodsA questionnaire-based cross-sectional and retrospective study designs were employed among 422 randomly selected informants potentially at risk of rabies. …”
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Solar energy resource availability under extreme and historical wildfire smoke conditions by Kimberley A. Corwin, Jesse Burkhardt, Chelsea A. Corr, Paul W. Stackhouse, Amit Munshi, Emily V. Fischer

“…., amount of direct normal (DNI) and global horizontal (GHI) irradiance] at different spatial and temporal scales using radiative transfer model output and satellite-based smoke, aerosol, and cloud observations. …”
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Applying Different Independent Component Analysis Algorithms and Support Vector Regression for IT Chain Store Sales Forecasting by Wensheng Dai, Jui-Yu Wu, Chi-Jie Lu

“…But, up to now, only the basic ICA method (i.e., temporal ICA model) was applied to sale forecasting problem. In this paper, we utilize three different ICA methods including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA) to extract features from the sales data and compare their performance in sales forecasting of IT chain store. …”
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Relating natural image statistics to patterns of response covariability in macaque primary visual cortex by Amirhossein Farzmahdi, Adam Kohn, Ruben Coen-Cagli

“…As a result, the model predicts that increasing the size of an image reduces correlations for pairs with overlapping receptive fields and increases correlations for pairs with offset receptive fields. …”
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Hydrodynamic and hydro acoustic analysis of marine propeller in off design flow conditions. by Ammar Nazeer, Niaz Bahadur Khan, Emad Uddin, Mohammed Jameel, Omar Al-Abbasi, Qian Wu, Adnan Munir, Hanzla Shahid

“…Computation of hydrodynamic coefficients across spatial directions provides insight into loading impacts on performance. …”
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