Energy-Efficient Design of Immigrant Resettlement Housing in Qinghai: Solar Energy Utilization, Sunspace Temperature Control, and Envelope Optimization by Bo Liu, Yu Liu, Qianlong Xin, Xiaomei Kou, Jie Song

“…The key findings reveal that comprehensive building envelope retrofits achieve an 80% reduction in energy consumption. South-facing sunspaces demonstrate effective thermal buffering capacity, though their spatial depth exhibits negligible correlation with heating energy requirements. …”
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Equity Impacts of Transportation Improvements On Core and Peripheral Cities by Eran Leck, Shlomo Bekhor, Daniel Gat

“…The aim of this paper is to assess the short-term impact of transportation improvements on the reduction of socio-economic disparities between core and peripheral cities. …”
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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

“…Experimental results from a real sales data show that the sales forecasting scheme by integrating stICA and SVR outperforms the comparison models in terms of forecasting error. The stICA is a promising tool for extracting effective features from branch sales data and the extracted features can improve the prediction performance of SVR for sales forecasting.…”
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Coseismic crustal seismic velocity changes associated with the 2024 MW 7.5 Noto earthquake, Japan by Nicolas Paris, Yuji Itoh, Florent Brenguier, Qing-Yu Wang, Yixiao Sheng, Tomomi Okada, Naoki Uchida, Quentin Higueret, Ryota Takagi, Shin’ichi Sakai, Satoshi Hirahara, Shuutoku Kimura

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Variation in habitat selection among individuals differs by maternal status for moose in a region with low calf survival by Amanda Droghini, Timm W. Nawrocki, Jeffrey B. Stetz, Paul A. Schuette, Andrew R. Aderman, Kassidy E. Colson

“…To test our hypotheses, we used a path selection framework and a set of continuous remotely sensed map covariates to build predictive models and corresponding spatial predictions for maternal and nonmaternal groups. …”
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Building Type Classification Using CNN-Transformer Cross-Encoder Adaptive Learning From Very High Resolution Satellite Images by Shaofeng Zhang, Mengmeng Li, Wufan Zhao, Xiaoqin Wang, Qunyong Wu

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Geography versus sociodemographics as predictors of changes in daily mobility across the USA during the COVID-19 pandemic: a two-stage regression analysis across 26 metropolitan ar... by Alain B Labrique, Amy Wesolowski, Derek A T Cummings, Shruti H Mehta, Sunil S Solomon, Rohan Arambepola, Kathryn Schaber, Catherine Schluth

“…Objective We investigated whether a zip code’s location or demographics are most predictive of changes in daily mobility throughout the course of the COVID-19 pandemic.Design We used a population-level study to examine the predictability of daily mobility during the COVID-19 pandemic using a two-stage regression approach, where generalised additive models (GAM) predicted mobility trends over time at a large spatial level, then the residuals were used to determine which factors (location, zip code-level features or number of non-pharmaceutical interventions (NPIs) in place) best predict the difference between a zip code’s measured mobility and the average trend on a given date.Setting We analyse zip code-level mobile phone records from 26 metropolitan areas in the USA on 15 March–31 September 2020, relative to October 2020.Results While relative mobility had a general trend, a zip code’s city-level location significantly helped to predict its daily mobility patterns. …”
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Research on conflict resolution control strategy for vehicles and aircrafts on airport surface by Haiyan Zhang, Jian Zhang, Feng Zhu, Pinzheng Qian, Han Jiang, Xuejian Yao

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Seasonal synchronization of influenza in the United States older adult population. by Julia B Wenger, Elena N Naumova

“…While seasonal dynamics of the influenza virus, such as time of onset and circulating strains, are well documented by the Centers for Disease Control and Prevention Influenza Surveillance System, an accurate prediction of timing, magnitude, and composition of circulating strains of seasonal influenza remains elusive. …”
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Equivalent method for calculating internal blast loads in cylindrical lattice shell structure by Fu Shiqi, Gao Xuanneng

“…Abstract It is crucial to improve the calculation efficiency of internal blast loads of a long-span spatial steel structure. This study develops an equivalent model for such loads using a one-way inclined single-layer cylindrical lattice shell structure as a case study. …”
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Simulated response of the climate of eastern Africa to stratospheric aerosol intervention by Herbert O. Misiani, Hussen S. Endris, Franklin J. Opijah, Jully O. Ouma, Betty N. Barasa, Mari R. Tye, Mari R. Tye, Douglas G. MacMartin

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Learning spatio-temporal context for basketball action pose estimation with a multi-stream network by Zhihao Zhang, Wenyue Liu, Yuan Zheng, Linkang Du, Lezhong Sun

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Spatiotemporal dataset of dengue influencing factors in Brazil based on geospatial big data cloud computing by Qixu Zhu, Zhichao Li, Jinwei Dong, Ping Fu, Qu Cheng, Jun Cai, Helen Gurgel, Linsheng Yang

“…Addressing this challenge necessitates the efficient data integration methods and the assembly of multi-factorial datasets to aid public health authorities in understanding dengue transmission mechanisms and improving risk prediction models. In response, we developed a population-weighted dataset of 12 dengue risk factors, covering 558 microregions in Brazil over 1252 epidemiological weeks from 2001 to 2024. …”
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Investigating Mortality Uncertainty Using the Block Bootstrap by Xiaoming Liu, W. John Braun

“…This paper proposes a block bootstrap method for measuring mortality risk under the Lee-Carter model framework. In order to take account of all sources of risk (the process risk, the parameter risk, and the model risk) properly, a block bootstrap is needed to cope with the spatial dependence found in the residuals. …”
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Geomorphology and Hydroclimate Control Regional Urban Expansion by Serena Ceola, Giulia Grandi, Enrico Bertuzzo

“…The fractal size distribution of urban clusters is satisfactorily reproduced by our model, which further confirms its validity. We discuss how our methodology could be a key contribution for analyzing and predicting the spatial dynamics of urban expansion in different regions of the globe. …”
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Engineering growth factor gradients to drive spatiotemporal tissue patterning in organ-on-a-chip systems by Timothy Hopkins, Swati Midha, Simon Grossemy, Hazel R. C. Screen, Angus K. T. Wann, Martin M. Knight

“…Spatial heterogeneity plays a key role in the development and function of human tissues and therefore needs to be incorporated within in vitro models to maximise physiological relevance and predictive power. …”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…With prediction errors maintained within 10% under complex experimental conditions, this model provides a robust tool for enhancing risk assessments and emergency planning in regions prone to landslide dam breaches.…”
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Optimization Design and Test Analysis of Rice Electric Binder Knotter Based on ADAMS by Difa Bao, Jufei Wang, Zhi Liang, Chongcheng Chen, Wuxiong Weng, Shuhe Zheng, Jinbo Ren

“…Based on the ADAMS software, a simulation model of the knotter operation was constructed. Using the Box–Behnken design (BBD) method and response surface analysis of variance, a regression prediction model for knotter operation evaluation indicators was established, and the multi-objective optimization of the knotter’s operation quality was performed. …”
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Spatiotemporal patterns and influencing factors of genotypic resistance testing utilization among people living with HIV: A 10-year retrospective analysis at a tertiary care hospit... by Defu Yuan, Fei Zhao, Shanshan Liu, Li Li, Hongxia Yan, Lifeng Liu, Tong Zhang, Christiane Moog, Bei Wang, Bin Su

“…Prior research indicated low genotypic resistance testing (GRT) for human immunodeficiency virus (HIV) utilization in China due to partial cost coverage under national antiretroviral therapy policies, limited testing accessibility, and financial barriers. Temporal and spatial data on GRT trends were also scarce. We analyzed GRT patterns among 6,895 untreated individuals at a tertiary hospital using Joinpoint regression, multivariable logistic modeling, and spatial analysis (GeoDa/SatScan). …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…Future research should explore the effectiveness of various imputation methods in diverse climatic and geographical contexts, as well as develop new techniques considering the temporal and spatial structure of meteorological data, to advance understanding and climate prediction.…”
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