Chronic kidney Disease overall survival prediction model based on frailty index score: construction and validation using NHANES data by Ting Li, Zaoqiang Lin, Zeyong Tang, Liuchang Feng, Nuo Lei, Hui Chen, Guozi Chen, Qinxiang Tan

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Postpartum changes in maternal physiology and milk composition: a comprehensive database for developing lactation physiologically-based pharmacokinetic models by Neel Deferm, Neel Deferm, Jean Dinh, Jean Dinh, Amita Pansari, Masoud Jamei, Khaled Abduljalil

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Differences in backcourt forehand clear stroke between novice players and experienced badminton players: based on body segment acceleration data by Hui Huang, Zhenxiang Guo, Minchen Zhao, Meng Liu, Jin Dai

“…Each participant performed 5 backcourt forehand clear strokes, and acceleration data were collected at 100 Hz. The mean values from the 5 repetitions were used for statistical analysis to ensure reliability and reduce variability. …”
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Research on Sustainable Building Development in the Context of Smart Cities: Based on CiteSpace, VOSviewer, and Bibliometrix by Bola Chen, Xunrong Ye, Fuping Dai

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An interpretable machine learning study for developing a binary classifier for predicting rehospitalization from skilled nursing facilities by Zhouyang Lou, Zachary Hass, Nan Kong

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The Feedback of Urban Development on the Variation of Rainy Season in Kunming City， Yunnan Plateau by Ping HE, Jinling ZHAO

“…The daily precipitation data of Kunming Station for nearly 30 years from 1991 to 2020 were used to calculate the beginning and ending periods of Kunming rainy season （May-October）， further determine the length of the rainy season in Kunming.Additionally， statistical yearbook data for Yunnan Province and Kunming City were used， including year-end total population， urban built-up area， urbanization rate， per capita GDP， and other urban development factors， to determine the urban development process in Kunming.This process divided Kunming's urban development into a slow period （1991 -2003） and a fast period （2004 -2020）.The characteristics and differences in the length of the rainy season in Kunming City during these two periods were then analyzed and compared.Various analytical methods， including statistical analysis， wavelet analysis， and Mann-Kendall （M-K） mutation test， were employed to systematically analyze the temporal changes in the length of the rainy season in Kunming City.Additionally， the grey correlation analysis method was used to assess the correlation between the length of the rainy season and urban development in Kunming City.The results indicate that from 1991 to 2020， the start date of Kunming City's rainy season gradually became later， while the end date gradually became earlier， resulting in an overall trend of the rainy season getting shorter.Wavelet coefficient analysis revealed that there was no obvious regularity in the variation of the rainy season's length on time scales below 8 years， but on a 17-year time scale， there was a noticeable cycle of short-long-short-long-short variations， The rainy seasons from 2003 to 2008 and from 2014 to 2017 were relatively long， while the rainy seasons from 1991 to 2002， 2009 to 2012， and 2018 to 2020 were relatively short.The unclosed contour lines from 2018 to 2020 indicate a further trend of shortening.The M-K test showed that the length of the rainy season in Kunming City experienced four abrupt changes between 1991 and 2020， Occurring in 2002， 2008， 2012 and 2017.Regarding the relationship between Kunming's urban development and the length of the rainy season， the variation trend of the rainy season length during the slow urban development period remained relatively stable.However， after 2004， during the rapid urban development period， there was a significant reduction in the length of the rainy season in Kunming City， Extreme volatility became more pronounced as the urban development process accelerated.The SPSS （Statistical Product and Service Solutions） was used to predict the duration of rainy season in the next 10 years in Kunming City， The results show that the rainy season will continue to be shorter in the next 10 years in Kunming.When the grey correlation resolution was set at 0.5， four factors representing the urban development process had varying degrees of influence on the length of the rainy season in Kunming City， with correlation coefficients all exceeding 0.70， the results show that there is a significant correlation between the urban development and the length of rainy season in Kunming.Among these factors， the most influential one was the year-end total population， while the least influential was per capita GDP， with grey correlation coefficients of 0.88 and 0.70， respectively， signifying a high and significant correlation.The order of correlation coefficients for the four factors is as follows： year-end total population > urbanization rate > urban built-up area > per capita GDP.…”
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A protocol for identifying universal reference genes within a genus based on RNA-Seq data: a case study of poplar stem gene expression by Qi Xie, Umair Ahmed, Cheng Qi, Kebing Du, Jie Luo, Pengcheng Wang, Bo Zheng, Xueping Shi

“…In this study, a pipeline for identifying candidate RGs from publicly available stem-related RNA-Seq data of different Populus species under various developmental and abiotic stress conditions is presented. …”
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AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcareMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Md. Anisul Haque Sajeeb, Md. Mohaimenur Rahman, Md Shadikul Bari, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty

“…The study examines how various treatment plans can affect blood characteristics, potentially leading to improved treatment strategies. For statistical analysis, the data is cleaning the noise (null and duplicate values), normalized, and encoded. …”
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The Entropy Analysis Method for Assessing the Efficiency of Workload Distribution Among Medical Institution Personnel by Oksana Mulesa, Ivanna Dronyuk

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Developing Multicriteria Rating Scale for Assessment of Communicative Competence in LSP Oral Presentation by Vesna M. Petrović, Ana S. Jovanović, Marija R. Đukić

“…An online survey was used as a data-collection method. The answers were analysed by the quantitative analysis and fuzzy multicriteria decision-making analysis (MCDC) to obtain a favourable model of the scale suitable for the LSP oral presentation assessment. …”
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Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots by Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Juha Hyyppä, Antero Kukko, Ruizhi Chen

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Urban Canopy Parameters’ Computation and Evaluation in an Indian Context Using Multi-Platform Remote Sensing Data by Kshama Gupta, Bhoomika Ghale, Ashutosh Bhardwaj, Anshika Varshney, Shweta Khatriker, Vinay Kumar, Prasun Kumar Gupta, Pramod Kumar

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E-scooter riders: A cross-cultural analysis of traffic safety attitudes and behaviors by Milad Delavary, Craig Lyon, Ward G.M. Vanlaar, Robyn D. Robertson, Dimitrios Nikolaou, George Yannis

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BASIC INSTITUTIONS AND ECONOMIC DEVELOPMENT IN CENTRAL- AND EASTERN-EUROPEAN POST-COMMUNIST COUNTRIES by O. Vatamaniuk, P. Ostroverkh, O. Salovskyi

“…The authors have chosen the World Bank data on gross domestic products per capita to illustrate the level of economic development of the studied countries. …”
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Comparative analysis of the environmental component when assigning an ESG rating by R. S. Golovnin

“…The analysis of the management component (the G-component).will be the logical development of the research series.…”
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Interactive Mechanism Between the Growth of Female Homestay Elites and the Development of Rural Homestays by Sui Chunhua, Deng Pinna, Li Zhixuan

“…Therefore, further research is necessary to explore how female homestay owners leverage their feminine traits to become rural tourism elites, thus becoming a significant force in developing and revitalizing rural homestays. This study considerd 30 female homestay owners in Guangdong Province as research subjects, combines the four core principles of life course theory, and employs interviews and thematic analysis to explore the bidirectional interaction mechanism between the growth of female homestay owners and the development of rural homestays. …”
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Social Network Analysis Reveals Spatiotemporal Patterns of Green Space Recreational Walking Between Workdays and Rest Days by Jiali Zhang, Zhaocheng Bai

“…Our research introduces a novel social network analysis methodology using GPS trajectory data from Shanghai’s Inner Ring Area to construct and compare recreational walking networks during workdays and rest days, revealing dynamic spatiotemporal patterns that traditional methods miss. …”
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Unveiling the Value of Meta-Analysis in Disease Prevention and Control: A Comprehensive Review by Christos Ntais, Michael A. Talias

“…It provides robust evidence that supports the implementation of effective preventive measures and the discontinuation of ineffective or harmful ones. Furthermore, meta-analysis provides evidence to develop clinical practice guidelines, ensuring patients receive evidence-based treatments. …”
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The chicken gut resistome data from different regions of KazakhstanNCBIMendeley Data by Sergey Shilov, Ilya Korotetskiy, Tatyana Kuznetsova, Natalya Zubenko, Lyudmila Ivanova, Elena Solodova, Alfiya Tugeyeva, Anzor Kaziyev, Nadezhda Korotetskaya, Timur Izmailov

“…The data obtained will allow to develop a strategy to reduce the spread of antibiotic-resistant pathogens and improve safety in poultry farming, as well as to predict the risk of transmission of resistant microorganisms between animals and humans.…”
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Prognostic analysis of sepsis-induced myocardial injury patients using propensity score matching and doubly robust analysis with machine learning-based risk prediction model develo... by Pan Guo, Pan Guo, Li Xue, Fang Tao, Kuan Yang, YuXia Gao, Chongzhe Pei

“…This study aimed to evaluate the prognostic impact of SIMI and develop validated predictive models using advanced machine learning (ML) algorithms for identifying SIMI in critically ill sepsis patients.MethodsData were sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV, v3.0) database. …”
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