Reforms in the Field of Statistics of the Republic of Uzbekistan: Results and Development Prospects by B. A. Begalov, O. T. Mamadaliev

“…In particular, the authors noted that at present in the statistical industry of the Republic of Uzbekistan a whole range of measures has already been carried out, which made it possible to achieve certain results in the republican and international ratings.The article shows that a solid regulatory and legal framework has been created for the effective development of the statistical sphere of the Republic of Uzbekistan.The authors’ studies show that reforms in the field of statistics of the Republic of Uzbekistan are carried out in such areas as improving the organizational and legal infrastructure, developing the statistical infrastructure, establishing optimal interaction between providers and users of statistical data, effectively developing the information and communication infrastructure, improving sectoral and regional statistics, improving the quality of training and comprehensive development of personnel, improving the country’s indicators in the Index of the statistical capacity of the World Bank countries.The article tells that thanks to the openness and transparency of statistical data, users have free access to relevant statistical information, and these results are highly appreciated not only by domestic, but also by foreign users and, most importantly, by the international statistical community.The authors note that recently a lot of work has been done to bring a number of indicators of macroeconomic and social statistics, methods of statistical assessment of the shadow economy, statistics of tourism, employment, environmental accounting, transport, public finance and other sectors in line with the requirements of international standards, a thorough preparation for censuses (population, agriculture, business), etc.Purpose. …”
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Analysis of inequality via social stratification by Luz Judith Rodríguez Esparza, Octavio Martín Maza Díaz Cortés, Julio César Macías Ponce, Dolly Anabel Ortiz Lazcano

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Interrelationships between income and both religious and secular ethics: panel Data Envelopment and Stochastic Frontier Analyses combined by Fabio Zagonari

“…To do so, it constructs a dataset of 152 countries over 26 years, by referring to 8 religions and 3 education levels and by distinguishing Developed and Former Soviet Countries. Next, it combines Data Envelopment Analysis and Stochastic Frontier Analysis, by estimating 3 empirical models. …”
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Methodologies for the formation of structures of information systems for storing and analyzing patient data by Z. A. Shogenova, D. А. Krymshokalova, F. R. Ketova, F. H. Dzamikhova

“…In this regard, the development of methodologies for the formation of information system structures that allow reliable storage and analysis of patient data has become an urgent research task. …”
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Sensitivity Assessment of Geological Hazards in Liaoning Province Based on Multisource Data by Ying Cui, Chao Guan, Chen Chen, Jingxu Zheng, Songbo Li

“…Based on multisource remote sensing data, this study evaluates the geological hazard sensitivity in Liaoning Province by using the method of spatial principal component analysis and spatial autocorrelation finding that such sensitivity is generally moderate, with an average value of 5.25, and is mainly concentrated in three levels: Mild sensitivity, moderate sensitivity and insensitivity, accounting for more than 67% of the total area. …”
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Developing a Dictionary Model for Balinese Speech Levels: A Study Based on Classification Principles and Semantic Feature Analysis by Nengah Arnawa, I Ketut Ngurah Sulibra, I Wayan Suardiana

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WHO essential medicines policies and use in developing and transitional countries: an analysis of reported policy implementation and medicines use surveys. by Kathleen Anne Holloway, David Henry

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Integrating Transcriptomic and Proteomic Data: IL‐27B as a Key Protein in the Development of Septic Cardiomyopathy—A Retrospective Study by Yifeng Mao, Qingqing Chen, Yongpo Jiang, Xijiang Zhang, Qin Si, Panpan Xu, Zhongheng Zhang, Cheng Zheng, Ronghai Lin

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Integrative multi-omics data from early development to identify the genes and cell types underlying attention-deficit/hyperactivity disorder by Shufen Jiao, Li Bao, Xiaowen Lu, Yong Wu, Yichen Li

“…Results Our integrative analysis identified LSM6 and RPS26 as significantly associated with ADHD, based on eQTL data from fetal brain and iPSC-derived neurons. …”
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Can establishing the National Big Data Comprehensive Experimental Zone promote green low-carbon development? Evidence from China by Yushan Yao, Zhe Wang, Shanshan Cao

“…Balanced panel data of 30 provinces and cities from 2005 to 2021 are used to construct a dual machine learning model for empirical analysis. …”
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Can new quality productivity promote high-quality agricultural development?—An empirical study based on provincial panel data in China by Simeng Zhang, Fengjie Xie

“…The deep integration of new quality productivity (NQP) with the agricultural sector is an inevitable path to promoting high-quality agricultural development. This paper explores the role of NQP in enhancing the high-quality agricultural development using panel data from 30 provinces in China over the period 2012–2021. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

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Introduction of emerging mobility services in rural areas through the use of mobile network data combined with activity‐based travel demand modelling by Patrizia Franco, Djibril Kaba, Steve Close, Shyma Jundi

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The odds of developing asthma and wheeze among children and adolescents exposed to particulate matter: a systematic review and meta-analysis by Awoke Keleb, Eyob Tilahun Abeje, Chala Daba, Abel Endawkie, Yawkal Tsega, Giziew Abere, Yimer Mamaye, Anmut Endalkachew Bezie

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ANALYSIS OF ANTHROPOMETRIC INDICATORS ASSOCIATED WITH THE RISK OF DEVELOPING METABOLIC COMPLICATIONS AMONG SOFIA UNIVERSITY “ST. KLIMENT OHRIDSKI” STUDENTS by G. Despotova

“…Although the risk of complications is associated with a high Body Mass Index, the distribution of adipose tissue is a more significant factor for development of morbidity and mortality. Numerous studies have shown that in the android (central) type of obesity, the risk of developing metabolic syndrome is increased. …”
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Predicting the risk of lymph node metastasis in colon cancer: development and validation of an online dynamic nomogram based on multiple preoperative data by Longlian Deng, Lemuge Che, Haibin Sun, Riletu En, Bowen Ha, Tao Liu, Tengqi Wang, Qiang Xu

“…Abstract Background Predicting lymph node metastasis (LNM) in colon cancer (CC) is crucial to treatment decision-making and prognosis. This study aimed to develop and validate a nomogram that estimates the risk of LNM in patients with CC using multiple clinical data from patients before surgery. …”
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Validity of Adult Psychopathology Model Using Psychiatric Patient Sample from a Developing Country: Confirmatory Factor Analysis by Naser Abdulhafeeth Alareqe, Siti Aishah Hassan, Engku Mardiah Engku Kamarudin, Musheer A. Aljaberi, Mohamad Sahari Nordin, Nadeem Mohamed Ashureay, Lubna Ali Mohammed

“…We used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to explore and confirm the latent structure MCMI and verify the evidence of convergent and discriminant validity. …”
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A comprehensive integration of data on the association of ITPKC polymorphisms with susceptibility to Kawasaki disease: a meta-analysis by Atefeh Habibi, Hanieh Talebi, Reza Bahrami, Mohammad Golshan-Tafti, Amirhossein Shahbazi, Seyed Alireza Dastgheib, Azadeh Tahooni, Maryam Vafapour, Heewa Rashnavadi, Melina Pourkazemi, Maryam Yeganegi, Elnaz Sheikhpour, Hossein Neamatzadeh

“…Abstract Background This study aims to conduct a comprehensive meta-analysis of existing research to define clear associations between variations in the ITPKC gene and the risk of developing Kawasaki disease (KD). …”
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Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process by Zhengsong Wang, Dakuo He, Xu Zhu, Jiahuan Luo, Yu Liang, Xu Wang

“…A novel data-driven model-free adaptive control (DDMFAC) approach is first proposed by combining the advantages of model-free adaptive control (MFAC) and data-driven optimal iterative learning control (DDOILC), and then its stability and convergence analysis is given to prove algorithm stability and asymptotical convergence of tracking error. …”
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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…A major contribution of this work is the development of an adaptive aggregation methodology, which dynamically selects between Federated Averaging (FedAvg) and Federated Stochastic Gradient Descent (FedSGD) based on real-time data divergence observed across participating clients. …”
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