Spatiotemporal characteristics and meteorological driving factors of flash droughts in the Yellow River Basin, China by Dehe Xu, Menglong Wang, Qi Zhang, Shiwen Wu, Linjing Zhang

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Examining the effect of input factor allocation management on tangerine production: Evidence from Selayar Islands Regency, Indonesia by Abdushamad, Muslim Salam, A. NixiaTenriawaru, Muhammad Hatta Jamil, Didi Rukmana, Nurdjanah Hamid, Nitty Hirawaty Kamarulzaman, Rahmadanih, Heliawaty, Nurbaya Busthanul, Letty Fudjaja, Siti Hardiyanti Syam, Ahmad Imam Muslim, Muhammad Ridwan

“…The binary logistic regression was employed to analyze primary data collected from 156 tangerine farmers, which served as the sample size, to achieve the research objective. …”
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Urban expansion and compensation vis-a-vis livelihood coping strategies of displaced farmers surrounding medium size towns in north west Ethiopia by Meznanat Tame, Kassahun Gashu, Bantayehu Ayalew Workineh

“…The main objective of this study was to analyze urban expansion driving factors and compensation vis-a-vis livelihood coping strategies of displaced farmers surrounding medium size towns. …”
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Spatiotemporal evolutionary patterns and influencing factors of urban carbon emissions in China by Qifeng Meng, Chunyi Li

“…On this basis, local Moran’s index, Social Network Analysis (SNA), and the Multiscale Geographically Weighted Regression (MGWR) model were employed to analyze spatial–temporal evolution patterns and influencing factors of urban carbon emissions. …”
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management by Ming Chen, Dingyu Zhang

“…Machine learning is an effective tool to analyze large amounts of data and identify perioperative complication factors. …”
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The Spatiotemporal Impact of Socio-Economic Factors on Carbon Sink Value: A Geographically and Temporally Weighted Regression Analysis at the County Level from 2000 to 2020 in Chin... by Tao Wang, Qi Liang

“…GTWR analysis reveals spatiotemporal heterogeneity in the effects of socio-economic factors. For example, the influence of urbanization and retail sales of consumer goods shifts direction over time, while the effects of industrial structure, population, road, and fixed asset investment vary across space. …”
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Risk Factors for COVID-19 Adverse Outcomes in ICU Settings of Various Types Repurposed Hospitals by A. A. Avramov, E. V. Ivanov, A. V. Melekhov, R. S. Menzulin, A. I. Nikiforchin

“…Gender, age, BMI, NEWS score, severity of lung damage based on CT quantification, blood gases and pH, patterns of antibiotic administration during hospital stay (all classes and number of antimicrobials, regardless the sequence of administration), patterns of main drugs administration (glucocorticosteroids, lopinavir/ritonavir, tocilizumab/ solilumab, hydroxychloroquine) were evaluated as risk factors. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by logistic regression.Results. …”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai by Xingxing Yin, Jinghang Cui, Yifan Wu, Mingxuan Cui, Kun Li, Haoxiang Guo

“…It uses spatial analysis methods to visually display the spatial evolution of older adult care institutions in the city and analyzes the influencing factors of their spatial distribution patterns using a geographic detector approach.MethodsThe research methodology used in the study includes Kernel Density Estimation for visualizing the spatial distribution of older adult care institutions in Shanghai, the Rand Index for measuring the match between older adult care institutions and the older adult population, and Geographically Weighted Regression for addressing spatial heterogeneity by providing local estimates for regression coefficients at different geographical locations.ResultsThe number of older adult care institutions in Shanghai has seen significant growth over the past 20 years, increasing fourfold due to the rise in both public and private facilities. …”
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Bridging the Energy Divide: An Analysis of the Socioeconomic and Technical Factors Influencing Electricity Theft in Kinshasa, DR Congo by Patrick Kankonde, Pitshou Bokoro

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A Bayesian Logistic Regression approach in Asthma Persistence Prediction by Ioannis I. Spyroglou, Gunter Spöck, Eleni A. Chatzimichail, Alexandros G. Rigas, E.N. Paraskakis

“…Methods: Data from 147 asthmatic children were analyzed by a new method for predicting asthma outcome using Principal Component Analysis (PCA) in combination with a Bayesian logistic regression approach implemented by the Markov Chain Monte Carlo (MCMC). …”
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Genotype × environment interaction analysis and climatic factors impacts on grain yield in rainfed durum wheat trials in Iran by Reza Mohammadi, Moslem Abdipour, Mahnaz Rahmati, Mohammad Armion, Nastaran Mehri, Asghar Mehraban

“…Using factorial regression model, climatic factors driving G×E interactions for grain yield were identified. …”
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Hepatoblastoma regional trends: dynamic SDI & joinpoint regression analysis by Miao Jia, Enyang He, Wenjing Sun, Hualei Cui, Hailan Zhao, Wei Zhao, Wei Liu, Zhenhua Guo, Yi Wang, Wei Feng

“…Despite regional disparities in incidence and mortality, the global burden of HB remains underquantified, with limited understanding of its correlation with socioeconomic factors., This study aims to comprehensively assess the disease burden of HB and its correlation with socioeconomic factors, identify high-burden regions, and provide evidence to optimize resource allocation and reduce disease burden. …”
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Customer Satisfaction in Islamic Banking: Analyzing the Key Drivers in Indonesia by May Nur Anisa, Harun Alrasyid, Ahsani Taqwiem

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RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD by Atiek Iriany, Wigbertus Ngabu, Danang Ariyanto

“…Rainfall modeling using the Geographically Weighted Poisson Regression (GWPR) method combines the power of Poisson regression in analyzing calculated data with the advantages of GWR in modeling spatial variability. …”
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Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework by Jamileh Yousefi, Sahand Ashtab, Amirali Yasaei, Allu George, Ali Mukarram, Satinderpal Singh Sandhu

“…To the best of our knowledge, there is limited literature and data-driven analysis about trends in transportation mode choices and the influencing factors in Atlantic Canada. <i>Methods</i>: In this study, a data-driven method has been used to analyze the Canadian Freight dataset to identify trends in transportation activities within Maritime, Canada. …”
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Incidence and Factors Related to Double Anterior Chamber Complications After Deep Anterior Lamellar Keratoplasty by Huang J, Asano K, Uchio E

“…Our study suggests that these factors could be of importance in considering the mechanism of pathogenesis of DM and DAC.Keywords: deep anterior lamellar keratoplasty, double anterior chamber, Descemet membrane, atopic dermatitis, binomial regression model…”
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The Internal Heterogeneity of Carbon Emissions in Megacities: A Case Study of Beijing, China by Zheng Wang, Kangkang Gu, Hu Yu

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Characteristics and influencing factors of daily population flow in the Wuhan Metropolitan Region based on mobile signaling data by DENG Huilin, LIN Sainan

“…[Methods] Taking the Wuhan Metropolitan Region as the research object and based on the mobile signaling big data, point of interest (POI) data and social and economic data in November 2020, the social network analysis method and quadratic assignment procedure (QAP) regression model were applied to analyze the temporal and spatial characteristics of daily population flow in the Wuhan Metropolitan Region at the districts and counties scale. …”
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Evaluation and Analysis of Factors Affecting Operation and Inspection Cost of Distribution Network Equipment Assets by Chaoyueling LUO, Zhiwei LI, Zhenyu XU, Xuejun TANG, Li LI, Zhao FANG

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Spatial Distribution Characteristics and Influencing Factors of Public Service Facilities for Children—A Case Study of the Central Urban Area of Shenyang by Ruiqiu Pang, Jiawei Xiao, Jun Yang, Weisong Sun

“…This study employs the Shannon diversity index, the location entropy, spatial autocorrelation, and the Geographically Weighted Regression (GWR) to analyze the spatial distribution characteristics and influencing factors of children’s public service facilities in the central urban area of Shenyang. …”
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