Statistical Data Research Articles

Engineering Training in the Structure of Higher Education and Professional Choice of Youth

The structural elements of the university network of engineers’ training and its demand in different social groups of young people are analyzed using statistical data, monitoring and sociological research results. Recent shift in the choice by school graduates towards engineering specialties is associated, first of all, with the expansion of employment and career opportunities, as well as the growing attractiveness of advanced technical qualifications. The concentration of personnel training for the development of breakthrough technologies in top, selective universities is effected by combining investments from the state budget, large corporations, the development of innovative forms of education, in particular within the framework of the Advanced Engineering Schools project, as well as investments of families with high cultural and economic capital to ensure competitiveness of future students. Successful training in mass engineering education programs in regional universities, where numbers of budgetary admission places have been increased since 2022, is hampered by a keen shortage of well-prepared school students-applicants. The best results are shown under the practice of attracting target social groups of young people while maintaining value of technical labor, for example, in various forms of mobilization via the track “School-SPO-engineering training in higher education institutions”.

The Influence Of Counseling With Abpk And Wheel Klop On Participation In Post Party Kb In The Muncak Health Center Oku Kabau East South Sumatra

Background: Counseling with dual role health workers (ABPK) and the application of the clutch wheel method can have a significant positive impact on participation in postnatal family planning (KB) programs. Purpose of writing: to determine the effect of ABPK and Rodak Lop counseling on postpartum family planning participation at the Muncak Kabau Oku East Community Health Center, South Sumatra in 2023 Research Method: The method in this research is experimental with a Pretest Posttest type of research without a control group. Statistical test data processing uses a paired sample t test if the normality test is normally distributed, if it is not normally distributed using the Wilcoxon test carried out univariately and bivariately with the help of the SPSS 25.0 computer program. Research Results The research results are known as Asymp. Sig (2 – Talled) has a value of 0.000 because 0.000 < 0.05, it can be concluded that the hypothesis is accepted. This means that there is an influence of counseling with ABPK and Roda Klop on postpartum family planning participation at the Muncak Kabau Oku East Community Health Center, South Sumatra in 2023 Conclusions and Suggestions: Health workers, especially midwives, can use ABPK and the klop wheel as a means of providing counseling so that it can make it easier for family planning acceptors to make contraceptive choices.

Statistical Data on Myelodysplastic Syndrome in the Russian Federation

Introduction. Myelodysplastic syndrome (MDS) is a nosology that requires examination using cytogenetic, molecular-genetic and immunophenotypic analysis of bone marrow and/or blood, as well as mandatory bone marrow trepan biopsy with pathomorphological and immunohistochemically studies. Until recently, there was no official statistical data on MDS in Russia.Aim: to present data on the incidence and prevalence of MDS in Russia based on official statistical forms.Materials and methods. Information from statistical form №7 «Information on malignant neoplasms» (SF No. 7) for 2022 and 2023 on the incidence and prevalence of MDS, updated at the initiative of the National Medical Research Center for Hematology, is presented. For the first time, additional lines (35–37) with information on the movement of patients, including MDS (code D46 according to ICD-10), have been introduced into table 2100.Results. According to SF No. 7, in 2022 and 2023, 2,827 and 3,411 cases of MDS were registered, respectively. The estimated primary incidence in the Russian Federation was 0.58 and 0.50 per 100 thousand of the adult population in 2022 and 2023, respectively, and the prevalence was 2.4 per 100 thousand of the adult population. The estimated incidence of MDS by federal districts in 2022 ranged from 0.13 to 1.05 with variations from 0.03 to 2.57 per 100 thousand of the adult population, depending on the region of residence. At the end of 2023, 3001 (88 %) patients with MDS were registered under dispensary observation, of which 860 (28.7 %) were under observation for 5 years or more.Conclusion. The obtained statistical data on the incidence and prevalence of MDS showed the high significance of the work carried out both for the subsequent improvement of the system of registration of patients with diseases of the blood system in general, and MDS, particularly the Russian Federation, and will make it possible to use this data in the planning of healthcare in the Russia.

Investigation of the statistical data on the technical condition of brake equipment components of passenger carriages in operation

In the article, a study was conducted on improving the efficiency of braking systems in railway transport. Based on the information obtained regarding the maintenance of passenger cars, an analysis of brake equipment component failures was performed. Key trends and factors determining brake equipment component failures were identified from the collected statistical data for the reporting period. The main brake equipment components with the highest number of failures were highlighted. It was established that a significant portion of transport incidents due to brake failures in passenger cars occurs during operation, negatively impacting traffic safety. The collected data on the failures of electro-pneumatic distributors in passenger cars were systematized using the specialized software package "STATISTIKA". The research established that seasonal factors influence the total number of failures. A diagnostic system for the braking equipment of passenger trains was proposed to ensure traffic safety. The diagnostic system allows for the construction and analysis of mathematical models that describe the operational state of the braking equipment of passenger rolling stock as a whole. The diagnostic system enhances the reliability of brake operation, monitors air pressure in the brake line, ensures the inter-repair periods of passenger car components, and reduces the time required to detect failures both en route and during train stops. Recommendations for diagnosing the braking system of passenger trains were developed for continuous inspection and timely identification of failures. Their application will enable the prediction of the lifespan of pneumatic and electro-pneumatic system components in passenger cars, ensure the inter-repair operational periods of cars based on their current technical condition, and enhance traffic safety in railway transport.

Pembelajaran TPACK untuk Keterampilan Komunikasi dan Hasil Belajar Siswa pada Jaringan Komunikasi

The aim of this research is to analyze the effect of TPACK-oriented learning on students' communication skills and student learning outcomes in communication network subjects. This research uses a quasi-experimental method with a pretest posttest kontrol group design. Research instruments include observation guides, interview guides, tests and questionnaires. in this research used a quantitative method. This research method aims to test a predetermined hypothesis which will be used to research certain populations and samples, collect data using research instruments, and analyze quantitative or statistical data. The type of method used is quantitative in the form of quasi-experimental design. The research design used was a pretest-posttest kontrol group design. The results of this research after implementing the TPACK learning model showed a significant increase in the acquisition of learning outcome data in the kontrol class, namely the average value of learning outcomes in the pre-test was 55.22 and the average value of learning outcomes in the post-test increased by 61.14. Meanwhile, for the experimental class, the average value of learning outcomes in the pre-test was 56.08 and the average value of learning outcomes in the post-test increased by 81.06.

Unlocking the potential of social media on food additives for effective science communication

Ultra-processed foods dominate modern diets, often containing numerous additives to enhance flavor, texture, and shelf life. Concerns about the potential health risks of daily or excessive consumption have sparked online discussions. This study analyzed perceptions of food additives on Zhihu, a popular Chinese social platform. The findings revealed no significant difference in attitudes between experts and non-experts (p > 0.05), with experts relying on statistical data and non-experts drawing from personal experiences. An independent t-test indicated no significance in comment engagement (p > 0.05) among them. However, a chi-square test showed that experts were significantly more interactive, frequently replying directly to original posts and commenters (p < 0.05). This suggests that experts actively facilitate discussions, moving away from reliance on influencers and instead prioritizing high-quality, accessible scientific communication. The findings highlight the crucial role of interactive online platforms in bridging the gap between science and the public.

BIM-GIS Integration for Interactive, Open and Low-Cost 3D Land Use Registration and Urban Neighbourhood Management

This paper is part of an on-going research study on developing a low-cost and approachable methodology for f-f-p, transparent and future inclusive 3D land use management for an urban neighbourhood by constructing a homogenous, open, cloud-based and free-to-use virtual BIM-GIS geospatial infrastructure. The proposed platform is structured for registering, classifying and visualizing volumetric land use prisms, distributing conceptual and geometric information, conducting statistical analyses and data exchange aiming for optimal decision making, urban neighbourhood management and land use tracking. The proposal aspires to aid the successful and timely achievement of the UN Sustainable Agenda 2030, in particular SDGs 1,9 and 11. The methodology includes: 1) the creation of approximate BIMs by utilizing open and available data and platforms, 2) modelling of land uses as 3D volumetric prisms, 3) registering semantic and geometrical land use information and 4) crafting statistical graphs, emphasising on data compilation and BIM-GIS standards implementation.

Kajian Pemahaman Mahasiswa tentang Pengumpulan dan Analisis Data melalui Evaluasi Hasil Penelitian Skripsi

A deep understanding of data collection and analysis techniques is an essential competence for students to produce valid and high-quality research. This study employed a quantitative descriptive approach with 22 students as subjects who had studied these techniques. Each student was tasked with evaluating two quantitative theses relevant to the learning model, published within the last five years. The evaluation used a rubric covering seven key components: Data Identification and Classification, Frequency Distribution, Measures of Central Tendency and Data Variation, Coefficient of Variation, Standard Values, Inferential Statistical Procedures, and Data Integration and Synthesis. The study results revealed varying levels of student understanding across the components. Most students achieved high competence in Data Identification and Classification (95.45%) and Inferential Statistical Procedures (95.45%). However, comprehension of more complex components, such as Coefficient of Variation and Standard Values, remained weak, with only 54.55% of students fully competent. This study highlights the need for more structured teaching methods and intensive practical exercises, particularly in advanced statistical analysis and data visualization. The implications suggest that improving these areas can strengthen students' research skills, supporting better mastery of data analysis techniques in the future.

Previous Surgical Exposure and the Onset of Degenerative Cervical Myelopathy: A Propensity-Matched Case-Control Analysis Nested Within the UK Biobank Cohort

Previous Surgical Exposure and the Onset of Degenerative Cervical Myelopathy: A Propensity-Matched Case-Control Analysis Nested Within the UK Biobank Cohort

VIOLÊNCIA DOMÉSTICA E FAMILIAR CONTRA A MULHER: UMA ANÁLISE DOS FATORES DE IMPULSIONAMENTO DOS CASOS DE VIOLÊNCIA DURANTE À PANDEMIA DA COVID-19

This article examines the factors that contributed to the increase in cases of domestic and family violence against women during the COVID-19 pandemic, focusing on the consequences of social isolation measures and the fragility of protection networks in the State of Goiás. The pandemic, by bringing economic and social challenges, highlighted a dark side of gender-based violence, exacerbating an already endemic problem. Compulsory confinement, necessary to contain the spread of the virus, drastically restricted the mobility and safety of women, who were often confined with their attackers. Furthermore, reduced access to formal care services has further compromised victims' ability to seek help and protection. This study aims to offer an analysis of statistical data and identify the factors that drove this escalation of violence, seeking to provide support for more effective preventive actions and the strengthening of public protection policies.

Assessing Efficiency of Preferential Treatment from Resident Position

The article deals with the research analyzing adverse factors influencing the efficiency of preferential treatment functioning in the Far-East Federal Area. To build a complex assessment of factors hindering the development of business and affecting the demand for preferential treatment on the part of investors a survey of effective residents of preferential treatment zones was conducted. The author came to practical conclusions, which can be used for further upgrading of statutory enactments necessary to establish and regulate preferential treatment in the Far-East Federal Area. The research is based on statistic data of the Ministry on Developing the Far East and the Arctic and the limited company ‘The Corporation of Developing the Far East and the Arctic’. The findings of the research can be used by federal authorities of the Russian Federation, bodies of power in entities of the Russian Federation and controlling companies in order to improve investment climate on the territory of the Far-East Federal Area.

VIOLÊNCIA DOMÉSTICA E FAMILIAR CONTRA A MULHER: UMA ANÁLISE DOS FATORES DE IMPULSIONAMENTO DOS CASOS DE VIOLÊNCIA DURANTE À PANDEMIA DA COVID-19

This article examines the factors that contributed to the increase in cases of domestic and family violence against women during the COVID-19 pandemic, focusing on the consequences of social isolation measures and the fragility of protection networks in the State of Goiás. The pandemic, by bringing economic and social challenges, highlighted a dark side of gender-based violence, exacerbating an already endemic problem. Compulsory confinement, necessary to contain the spread of the virus, drastically restricted the mobility and safety of women, who were often confined with their attackers. Furthermore, reduced access to formal care services has further compromised victims' ability to seek help and protection. This study aims to offer an analysis of statistical data and identify the factors that drove this escalation of violence, seeking to provide support for more effective preventive actions and the strengthening of public protection policies.

Identifying homogeneous hydrological zones for flood prediction using multivariable statistical methods and machine learning

One method for estimating floods in areas lacking statistical data is the use of regional frequency analysis based on machine learning. In this study, statistical and clustering-based approaches were evaluated for flood estimation in the Karkheh watershed. The hydrological homogeneity of the obtained zones was then assessed using linear moments and heterogeneity adjustment methods proposed by Hosking and Wallis. Then, the ZDIST statistic was used to calculate the three-parameter distributions for stations within each hydrologically homogeneous cluster. These parameters were computed using linear moments, and floods with different return periods at each station were estimated using regional relationships. The results indicated the creation of two clusters in this area, with five stations in cluster one and 11 stations in cluster two. The statistical homogeneity values for clusters one and two were calculated as 0.33 and 0.17, respectively, indicating the homogeneity of each region. Generalized Pearson type III and generalized extreme value distributions were selected as the best regional distributions for clusters 1 and 2, respectively. The results also showed that floods could be estimated for return periods of 2, 5, 25 years, and more. The highest estimated flood is predicted at the Jelugir-e Majin station, where the flood with a 2-year return period reaches 1034 m3 s−1. This increases to 5360 m3 s−1 for a 100-year return period. The approach presented in this study is recommended for similar regions lacking complete information.

SARIMA Statistical Model to Predict the Consumption of Anxiolytics as a Treatment for Mental Illnesses

The prevalence of mental health diseases and excessive consumption of anxiolytics has increased in the world. In this scenario, the need arises to determine a model that describes the behavior of pharmacological consumption of anxiolytics in Ecuador, in addition to allowing this general behavior to be projected over time. With a descriptive, exploratory, and non-experimental methodological approach conditioned on obtaining statistical data from official national and international organizations. The population of interest was generalized using flow-type temporal data on the effective consumption of anxiolytics, consisting of 144 monthly records in the period from January 2011 to December 2022. The records represent the proportion of people who consume anxiolytics in relation to the population total available in the statistics of community health care with mental illness disorders of the Ministry of Public Health. In this sense, a viable option is the construction of a temporary SARIMA model. Due to its temporal nature and the management of monthly records, robust estimation was chosen as an option by applying machine learning that efficiently decomposes and extracts both the seasonal and trend components present in the data. Determining the pharmacological consumption of anxiolytics depends on the seasonal factor (months) and the presence of a marked tendency to gradually increase over time, a situation that must be regulated because it represents a situation of drug dependence and overdose. Furthermore, the built model presented adequate suitability when quantifying statistical metrics: RMSE = 5.25% and MAPE = 1%. It is concluded that the proposed model explains the behavior of the consumption of anxiolytics in Ecuador to mitigate situations that occurred in the affected person (anxiety or depression) in the last three months, according to the specification of deterministic and random components identified in the estimated model.

Reliability Index for Steel Structure’s Technical State and Residual Life Assessment

The article is dedicated to problem of technical state assessment of real steel truss under operation for residual life prediction after technical investigation. The reliability index is calculated based on design, real and prospective loads. Method of statistical data analysis adopted for stress-strain determination also for all kinds of applied loads. The residual life with the reliability index determined as a transition from satisfactory to emergency technical state. The method provides the possibility for estimation of future safety steel structures operation with technical investigation results only that exclude any subjective opinion.

An assessment of the impacts of community development initiatives in Awgbu Town in Anambra State, Nigeria

This research evaluates how the Awgbu community has contributed to the general development of Anambra State, how it has benefited from state government efforts, and how it has responded to demands and initiatives from the government between 2015 and 2023. Community Development (CD), Social Capital, and the Diffusion of Innovations theories are the underpinning theoretical framework of analysis used for the study. The research design used in this paper was a descriptive survey, with data collected from primary and secondary sources. Since the study was intended for the entire population of Awgbu town, Slovin’s sample determination formula and the purposive random sampling technique were employed. Specifically, a sample size of 400 respondents was targeted, and 286 returned questionnaires were used for data analysis. The gathered data were displayed on the Logical Data Framework (LDF) and subjected to a quantitative statistical data analysis technique that involved weighted mean and frequency tables. The results show that the Awgbu community has significantly influenced Anambra State’s growth. Through its participation in the Choose Your Project Initiative (CYPI), the community has actively reacted to requests from the government. Nonetheless, the research discovers that, among other things, inadequate money, oversight, and leadership crises impede the community’s advancement.

Analysis of the incidence of influenza and acute upper respiratory tract infections under conditions of routine influenza vaccination

Background. Acute upper respiratory tract infections and influenza, while maintaining high epidemiological, social and economic significance, have a major effect on the public health of countries and individual regions.The aim. To study the impact of influenza vaccination on the manifestations of the epidemic process of influenza and acute upper respiratory tract infections in the Irkutsk region.Materials and methods. Epidemiological analysis of the incidence of acute upper respiratory tract infections and influenza, analysis of influenza mortality and the impact of vaccination on these infections were performed using continuous samples of statistical data from the Directorate of Rospotrebnadzor in the Irkutsk Region for the period of 2003–2022 (forms 2, 5).Results. The intensity of the epidemic process of acute upper respiratory tract infections among the general population, children and adults during the observation period was characterized by an uneven course with a tendency towards increase. The dynamics of the incidence of acute upper respiratory tract infections in children and adults demonstrates multidirectional trends over the compared periods. The incidence of influenza in the general population had a steady downward trend, the decrease rate was –8.4 %. At the same time, there are significant changes in the intensity of the epidemic process in the compared periods. The proportion of adults increased in the structure of cases of acute upper respiratory tract infections, and the proportion of children increased in the structure of cases of influenza. Significant changes in the epidemic seasons of influenza are shown. Since the beginning of routine influenza vaccination in the region, the number of vaccinated people has increased annually – from 23.6 to 61.7 % of the population. Against the background of the influenza vaccination campaign, a statistically significant decrease in the incidence of acute upper respiratory tract infections among the general population and children under 14 years of age was registered (p &lt; 0.01).Conclusion. In the Irkutsk region, the epidemiological disadvantage for the studied infections persists. Increasing the regulated indicators of population coverage with preventive influenza vaccinations (75 % and more) will help reduce the incidence rate.

The Impact of Sustainability on the Labour Market and Employability in the Construction Industry

The present article analyses how the changes in the labour market are impacting employability, within the context of sustainability, with a special focus on the construction industry. This paper explores the relevance of employability in the construction industry, in an economy that is more and more oriented towards sustainable practices. The added value of the present paper resides in the proposed methodology that includes identifying and ranking the sustainability indicators that contribute to a sustainable employability model. The main objective of this research is to highlight the importance of sustainability in terms of training and preserving the specific competencies for the construction industry labour market, which is an essential sector for the transition to a green economy. The methodological innovation of the present study is that it proposes a model for the assessment of the sustainability indicators, thus offering a practical and ready-to-use framework for decision-makers in the industry. These indicators, which influence sustainability in the long term, were analysed from the viewpoint of the construction industry in Romania. This study used secondary statistical data, with a focus on the evolution of employability and of the professional training of graduates in this field of activity. The conclusion of the analysis is that a sustainable employability model should be implemented that meets the needs of the contemporary labour market and ensures an effective transition to a green economy. Implementing sustainable strategies in the construction sector facilitates the transition to responsible practices that are adapted to the current requirements of the green economy.

The Impact of Transformational Leadership Communication on Personal Leadership of Administrative Staff in Higher Education: A Case Study

Purpose – The aim of this study is to investigate how communication styles of transformational leaders affect the personal leadership of administrative employees. Aim – The paper aims to identify aspects of transformational leader communication that enhance personal leadership among administrative employees in higher education. Methodology – Research data was collected by a survey. The study sample consists of administrative staff from state University operating in Lithuania (N=115). Statistical data analysis, including the chi-square (χ2) test, Student's t-test, ANOVA, Smirnov-Kolmogorov test, Shapiro-Wilk test, and Spearman correlation (r) was conducted using SPSS Statistics 20. Findings – The study findings indicate that communication characteristic of transformational leadership promotes personal leadership, loyalty, job satisfaction, and positively impact organizational climate. Some aspects of transformational leadership differ by demographic factors such as gender, age and position Limitations of the study – The study acknowledges certain limitations, including the subjective nature of survey responses and the focus on a single organization's administrative staff, which may limit the generalizability of the results. Originality/value – This study is among the few exploring the impact of transformational leader communication on administrative employees' personal leadership, particularly within the context of Lithuanian organizations, and by analyzing demographic differences in this regard. It provides new insights into the importance of transformational leadership and its practical benefits in organizations. The research outcomes can assist organizational leaders in understanding how their communication can influence employees' personal leadership qualities. This understanding may lead to practical outcomes such as improved organizational structure, enhanced teamwork, and increased productivity.

BETWEEN FAITH AND LEGALITY: A STUDY ON THE REGULARIZATION OF PUBLIC LAND OCCUPIED BY RELIGIOUS AND WELFARE ENTITIES IN THE FEDERAL DISTRICT

This article explores the relationship between Church and State in Brazilian Constitutions, focusing on secularism and the growing political power of evangelicals. The research investigates how this influence impacts the regularization of public lands occupied by religious and social welfare entities, which are objects of study in the Third Sector. Using a methodology that combines legal-constitutional analysis and Edgar Morin's complex approach, the study highlights the historical construction of religious influence in Brazil. In the Federal District, urban expansion and population pressure complicate land regularization. Between 1991 and 2008, many legislative efforts failed due to violations of the Constitution and the LODF. Complementary Law No. 806/2009 and Law No. 6.888/2021 are important to resolve these issues, proposing new parameters for collaboration between the State and non-profit entities. The article's hypothesis, confirmed by statistical data, suggests that the increase in the political power of evangelicals influences the regularization of public land in the DF, evidencing a correlation between the growth of the evangelical population and the formulation of specific legislation.