Practical Data Analysis Research Articles

STIMULASI EMOSIOANAL ANAK USIA 5-6 TAHUN DENGAN BANTUAN ALAT PERMAINAN BOLA PENGUMPUL BINTANG

Social emotional development plays an important role for the mental stability of children in the future so that it requires stimulation in accordance with developmental needs and adequate educational game tools. The star collecting ball game (BOLUMTANG) is here as an educational game tool that educators can use in developing social emotional aspects for children. The purpose of the study was to stimulate the social emotional development of children aged 5-6 years using the star collecting ball game media (BOLUMTANG). This research uses descriptive qualitative methods, documentation, research instruments with observation and practice data analysis techniques through the star collection ball educational game tool (BOLUMTANG). The study subjects were applied to 2 children with initials J and D kelompok B in UPI Labschool Kindergarten, Serang City, Banten Province. The results showed that the indicators of childrens social emotional development were obtained by childrens enthusiasm in playing star collecting ball game, children playing with friends without discriminating, being patient in waiting for their turn to throw the ball, obeying the rules of the game, being able to show self-confidence. Showed
 Expressions before and after the game, and tidied up the toys after use. All the social emotional indicators of children J and D in the study were well developed. Furthermore, it is hoped that this research can be used by educators in stimulating child development, especially developing early childhood social emotional.

Quality assessment of real-world data

Recently, the development of a methodology for obtaining evidence of clinical efficacy and safety of medical technologies based on the collection and analysis of real clinical practice data (real-world data; RWD; real-world evidence; RWE) has become extremely relevant. Different types of research are used in RWD/RWE. It must develop a unified methodology for conducting and approach the reliability of the results of such studies. One of these approaches is the ranking of the reliability of research results based on an assessment of the quality of the original data: patient populations, exposures, outcomes and confounding factors (interfering factors). Simultaneously, for an optimal assessment of reliability, the following should be considered: a description of the data sources implemented during the study; techniques used to transform them; the techniques used to make up for missing information in the collection of these data.

NICE guidance to working with real-world data

This article provides a brief overview of the key aspects of planning, conducting, and reporting NICE clinical practice data collection and analysis studies, as well as general information about the sources of real-world data (RWD) and their use in NICE management decision-making algorithms. The difficulties of finding and using RWD are described, as well as methods for overcoming them, brief NICE recommendations for assessing the suitability of data and an algorithm for conducting quantitative studies to collect evidence from RWD are given.

Gradients of O-information: Low-order descriptors of high-order dependencies

O-information is an information-theoretic metric that captures the overall balance between redundant and synergistic information shared by groups of three or more variables. To complement the global assessment provided by this metric, here we propose the gradients of the O-information as low-order descriptors that can characterize how high-order effects are localized across a system of interest. We illustrate the capabilities of the proposed framework by revealing the role of specific spins in Ising models with frustration, in Ising models with three-spin interactions, and in a linear vectorial autoregressive process. We also provide an example of practical data analysis on U.S. macroeconomic data. Our theoretical and empirical analyses demonstrate the potential of these gradients to highlight the contribution of variables in forming high-order informational circuits.

Development of Intelligent Medicine and Construction of Intelligent Medical Engineering Specialty

Based on clinical big data and artificial intelligence and web technologies, Intelligent Medicine takes form as a medical service model centered on patient data. This paper introduced the development of intelligent medical treatment, analyzed the current application of big data analysis in intelligent medical practice, and looked forward to the challenge and future trend of intelligent medicine. Focusing on the training mode of intelligent medical engineering specialty, this paper explored architecture of intelligent medical engineering education platform, made the construction of a scientific and reasonable interdisciplinary curriculum system in the process of interdisciplinary postgraduate training according to the aim and characteristics of interdisciplinary, hoping to realize a unique new interdisciplinary education mode.

ТРИГГЕРЫ ЦИФРОВИЗАЦИИ ИНДУСТРИИ VINE&WINE

Digital globalization is a new form of globalization that leads to corresponding changes in the ways of doing business. Digital globalization in the 21st century is mainly driven by new digital technologies and is characterized by the acceleration and increase of data and information flows around the world. In the process of digitizing the economy, global data flows are increasing, and digital platforms allow more countries and small companies to participate. Successful digital transformation is not just the creation of a new company, but also the restructuring of the entire organization through the new use of existing valuable strategic assets. Digitalization is becoming the main one from the point of view of competition – the more innovations and technological improvements a company introduces into its business, the more competitive advantages and opportunities it acquires to respond to dynamically changing challenges. E-commerce is another important aspect of the digital economy and digital globalization. This rapidly evolving form of commerce is changing sales strategies and consumer behavior. In the new realities, enterprises need to quickly change their behavior strategies, adapting to certain development scenarios caused by the coronavirus pandemic.This article is conducted to solve current problems and trends in the development of the wine industry in the context of growing digitalization, which radically changes the essence of business. Based on the analysis of foreign practice and representative data of international statistics, the main digital trends in the viticulture and winemaking sector were identified. The article presents a comparative table of a set of technologies identified by various experts, based on research conducted aimed at expanding knowledge about the most advanced digital trends and technologies in this sector: the Internet of Things, artificial Intelligence, robotics, Electronic label. In the course of the study, the main goals behind the desire for digitalization were considered, the main advantages from the introduction of new tools of the digital economy were highlighted, statistical data on the volume of production in the industry for the period under review, the impact of the digital economy on the competitive environment were shown

Discussion on the grounded theoretical thinking paradigm of sports data

Sports data is the inevitable product of the digital era, and also the inevitable product of sports sociological attributes. Of course, sports data itself is a complex system with discrete characteristics. Under the situation of discrete multi-level data distribution, the matrix sports data is a practical requirement for further analysis and discussion of the modal development of sports education and teaching. This paper, starting from the grounded theoretical research method, attempts to explore the natural attribute of the analysis of discrete sports data, social attribute and the feasibility of educational mode thinking paradigm, and provides the feasibility of the basic thinking logic paradigm for practical sports data analysis.

Investigation of the correlation between trihalomethane concentrations and socioeconomic factors in NY State

Recent environmental justice studies have found associations between low drinking water quality and socioeconomic indicators such as income and race. Trihalomethanes, probable human carcinogens, are commonly found disinfection by-products (DBPs) in public water systems (PWS). Although trihalomethanes are correlated with socioeconomic indicators, there is a knowledge gap regarding how the level of contaminants correlates with socioeconomic indicators and other physicochemical factors in specific regions. Therefore, we investigated the correlation between trihalomethane concentrations and socioeconomic factors in New York State with more practical and insightful data analysis and interpretation compared to those in previous studies by providing more detailed city-level data and water system characteristics affecting the correlation. We found a negative correlation between median household income and trihalomethane concentrations in the state. The communities served by PWS using groundwater sources had lower trihalomethane concentrations and higher household income, suggesting that water quality parameters contribute to the negative correlation between trihalomethanes and income levels. The inverse association between trihalomethanes and household income may indicate socioeconomic disparity regarding drinking water quality and the need for improved efforts to assist small- and medium-sized community water systems to lower DBP levels in New York State because small- or medium-sized systems may have fewer resources to apply DBP control and removal technologies compared to large systems.

Development of the green bonds market for financing eco-projects in Russia

The problem of financing "green" projects is a relatively new and at the same time demanded area of development in practice. Since the Russian green bond market is in its infancy, it was decided to determine the development vector of this segment by constructively summarizing and evaluating the accumulated experience of a few green bond issues in Russia. Focusing on the Russian green finance market, the author summarized the experience gained from several issues of green bonds and determined the development vector for this segment of the stock market. The size of the Russian green finance market imposes serious restrictions on the use of mathematical and econometric tools to study its development, which did not become an obstacle to the analysis of practical data on the issuance of green bonds. This became possible thanks to access to information provided by Cbonds.ru and content analysis of the publications and reports. The study focuses on government approaches to support the development of the domestic green bond market, which stimulates its further development. The author highlights the attractive and vulnerable places of individual emission projects. The study complements the results of relatively few domestic and foreign studies on the financing of environmental projects and is of practical importance, generalizing the methods for attracting and stimulating financing for "green" projects.

Data-компетенции субъектов педагогической и управленческой аналитики в образовании

The relevance of the study is associated with the need to analyze the changing labor actions of education leaders and teachers in connection with the organization of the analysis of educational data accumulated by students in the digital educational environment. This, in turn, actualizes the need for the development of competencies in the analysis of educational data for a reasonable organization of human development and education. In the context of the digital transformation of education, the development of digital educational platforms, the development of digital services for assessing the quality of education, monitoring education, the issues of the methodology of data analysis and their competent application in pedagogical and managerial practice are being actualized. The article examines how educational analytics is used in the practice of schools, what problems educational leaders experience in pedagogy when working with data, what data sources they use. It was studied: what competencies are necessary for a teacher and the head of an educational organization in order to organize evidence-based development of education based on data. Leading research methods: structural and functional analysis, interviewing, polling, systematization, ranking, statistical analysis. The article summarizes the results of a study of the changing labor functions of teachers in the context of the digitalization of education, the competencies of teachers and managers in the application of data analysis in educational practice: digital competencies (digital competencies), data analysis competencies (data competencies), competencies for organizing development based on data (competence of a data-driven development organization). The problem is revealed: how the methodology and labor functions of teachers in the organization of education change based on the analysis of data: educational results, motivational choices of training profiles, levels of difficulty of educational tasks, topics of design and research work of schoolchildren, etc. Expansion of labor actions of teachers and heads of educational organizations and competences that ensure the implementation of labor actions are investigated. The development of data-competencies of teachers and education leaders for the evidence-based development of education and a person is analyzed. The research results presented in the article contribute to the theory and practice of teacher education, education management, as well as to the methodology of data science and the practice of its application in the field of education.

Formation of Cross-cultural Competence of Prospective English Teachers

The article substantiates the importance of forming prospective English teachers’ cross-cultural competence. Nowadays, education focuses on cooperation and establishing cross-cultural relations between the representatives of diverse cultural societies. Therefore, it concentrates on forming a personality capable of absorbing and reproducing verbal and non-verbal information during dialogical communication with foreign negotiators. This paper aims to validate the category “cross-cultural competence of a prospective English teacher,” develop its structure and experimentally verify its effectiveness. The study establishes that cross-cultural competence covers linguistic, sociocultural, activity, and axiologically-emotive components. The authors used the following theoretical research methods: analysis of philosophical, lingua didactic literature and scientific studies, synthesis, comparison, concretization; empiric methods: questionnaire-diagnostic (survey, testing, summative assessment, interview); analysis of speech activity products (spoken replies); lecture attendance and analysis; pedagogical experiment; methods of statistical treatment and experimental results analysis. The research on the training peculiarities of future English teachers based on cross-cultural grounds allowed us to conclude that the experimentally-verified methodology is effective. The practical data analysis points out the rise of forming cross-cultural competence levels in the experimental group. The reason is the cultural enrichment of linguistic material and the revelation of contrastive aspects.

Исторические аспекты нормативно-правового регулирования работы аптек как структурных подразделений медицинских организаций

Along with the development and improvement of the structure of medical organizations, much attention is paid to the drug provision of the therapeutic and diagnostic process in them, which contributes to improving the quality of medical care.
 Our theoretical research is based on a practical analysis of empirical data of regulatory and legal acts and documents regulating the issues of drug provision of medical organizations in Russia and abroad. Structural and functional analysis by the authors was used in the study of abstract and full-text databases published in digital online resources with materials of drug provision for medical and diagnostic work; infographics and scientific articles.
 The study has revealed that a number of requirements for pharmaceutical activities of pharmacy organizations and modern requirements for drug provision for the implementation of therapeutic and diagnostic activities do not correspond to the dynamic development of drug provision for patients of medical organizations.
 We came to the conclusion that, in modern conditions of the development of medical care to the population, in general, there are enough regulatory legal acts and documents for the organization of the work of pharmacy organizations as structural divisions of medical organizations. But, if we take into account the diversity of medical organizations, their profile, the possibility of changing the structure of medical departments, directions of medical care, then this may require changing the nomenclature of ready-made and manufactured medicines in specific conditions.
 As the results of the study have shown, joint efforts of all stakeholders in pharmacy and healthcare, as well as regulators of pharmaceutical and medical activities are needed to develop standard organizational and methodological recommendations for medical organizations carrying out medical and diagnostic activities based on the best traditions of Good Pharmacy Practice (GPP) and the International Pharmaceutical Federation (FIP). At the heart of this work, in our opinion, it is necessary to organize experimental studies using functional mathematical models of pharmacy activity in a number of therapeutic and preventive medical organizations to digitalize the organization of drug provision in them with expert evaluation of the results by specialists of all interested parties.

Creative Project Activity of Students: from Unconscious to Conscious Understanding

The study considers the necessity to introduce project activities into students’ education process of Core nuclear program system at Tyumen State University. The article studies the problem of organization and implementation of project activities in the process of English learning. The purpose of the research is to study the attitude of students of non-linguistic institutions of Tyumen State University to creative project activities in the process of teaching English. The goals, functions and types of project activities in teaching students are determined. The stages, sequence of actions and requirements for the implementation of creative projects in English are considered. A review of literature devoted to the attempts to apply the project approach in the process of education in different time periods was carried out. The advantages of introducing project activities in the process of learning a foreign language are presented based on the analysis of theoretical and practical data. The main difficulties and errors in the implementation of project activities of students in the learning process of the university are analyzed.

Supporting Meteorologists in Data Analysis through Knowledge-Based Recommendations

Climate change means coping directly or indirectly with extreme weather conditions for everybody. Therefore, analyzing meteorological data to create precise models is gaining more importance and might become inevitable. Meteorologists have extensive domain knowledge about meteorological data yet lack practical data analysis skills. This paper presents a method to bridge this gap by empowering the data knowledge carriers to analyze the data. The proposed system utilizes symbolic AI, a knowledge base created by experts, and a recommendation expert system to offer suiting data analysis methods or data pre-processing to meteorologists. This paper systematically analyzes the target user group of meteorologists and practical use cases to arrive at a conceptual and technical system design implemented in the CAMeRI prototype. The concepts in this paper are aligned with the AI2VIS4BigData Reference Model and comprise a novel first-order logic knowledge base that represents analysis methods and related pre-processings. The prototype implementation was qualitatively and quantitatively evaluated. This evaluation included recommendation validation for real-world data, a cognitive walkthrough, and measuring computation timings of the different system components.

A lack-of-fit test for quantile regression process models

Quantile regression is a widely used statistical tool for data analysis in practice, but model misspecifications may lead to incorrect inferences. In this paper, a lack-of-fit test for quantile regression processes is proposed for those cases with multivariate covariates, which has not been well studied in the existing literature. An asymptotic result is established, and a numerical study has demonstrated that the proposed method is promising.

Data Collection and Analysis of Physical Education Teaching Practice Based on Multisensor Perception

Because our country is constantly updating training standards, the first mechanism for assessing physical fitness is far from current needs. A good assessment process can help to stimulate student learning, identify strengths and weaknesses, and better improve sports knowledge. In this paper, based on the multisensor perception of physical education and teaching practice data collection and analysis, it is found that the original sensor data often have some defects, but the Kalman filter can be processed, which can make the data more accurate. After comparing the data, it can be found that each group of data basically has an error of 0.02–0.9. After processing, the data better reflect the changes in the measurement. With the reform of the professional evolution of boxers, higher requirements have been placed on athletes. The sensor can be continuously tested. According to the experiment, the basic probability of different sensors on the test paper can be found that the fused sensor data are 1/2, while the single sensor data are 1/6, and the data of a single sensor are much lower than the confidence of fused sensors, effectively improving the comprehensive ability of boxing.

The odd inverted Topp Leone–H family of distributions: Estimation and applications

This paper offers the odd inverted Topp–Leone family of probability distributions with new statistical models capable of fitting data in various fields. Different density function shapes as well as different shapes of hazard rate are observed. Explicit formulas of structural properties to the family are discussed. The two-parameter inverted Topp-Leone exponential distribution, which has been created as part of the offered family, has been explored due to its intended features for the statistical modeling. Parameter estimation of the inverted Topp–Leone exponential distribution is considered under complete and censored samples. The usefulness of the estimators is regarded by employing Monte Carlo simulations. We deal with practical data analysis for new modeling strategy, which gives quite convenient results compared with some other models.

Means of expression in advertising audiovisual works

The purpose of the work. The study focuses on expressiveness in an audiovisual advertising work. The methodology consists in applying the methods of observation, analysis and theoretical generalization of practical data in the field of audiovisual art. Scientific novelty. The type of television audiovisual advertising, which is divided by types, is defined: social advertising with national-patriotic symbols, social-household and commercial musical-image advertising. The system of means of artistic expressiveness of audiovisual works is revealed, and the visual means and the musical-linguistic structure are described, where the functions of music, noise and language in the television advertising audiovisual works are specified. Conclusions. Audiovisual TV advertising is today the most popular cinematic work. Due to the different stylistic direction of the audiovisual work, all means of expressiveness adhere to a certain image. The synthesis of visual and musical sound scores and the whole range of expressive media adds an audiovisual product of saturation and bright palette, which has a strong influence on the viewer and an incredible impression. Key words: advertising audiovisual works, advertising videos, means of expression.

Quantum algorithms for SVD-based data representation and analysis

This paper narrows the gap between previous literature on quantum linear algebra and practical data analysis on a quantum computer, formalizing quantum procedures that speed-up the solution of eigenproblems for data representations in machine learning. The power and practical use of these subroutines is shown through new quantum algorithms, sublinear in the input matrix’s size, for principal component analysis, correspondence analysis, and latent semantic analysis. We provide a theoretical analysis of the run-time and prove tight bounds on the randomized algorithms’ error. We run experiments on multiple datasets, simulating PCA’s dimensionality reduction for image classification with the novel routines. The results show that the run-time parameters that do not depend on the input’s size are reasonable and that the error on the computed model is small, allowing for competitive classification performances.

Applying Quantum Tomography to Hadronic Interactions

A proper description of inclusive reactions is expressed with density matrices. Quantum tomography reconstructs density matrices from experimental observables. We review recent work that applies quantum tomography to practical experimental data analysis. Almost all field-theoretic formalism and modeling used in a traditional approach is circumvented with great efficiency. Tomographically-determined density matrices can express information about quantum systems which cannot in principle be expressed with distributions defined by classical probability. Topics such as entanglement and von Neumann entropy can be accessed using the same natural language where they are defined. A deep relation exists between separability, as defined in quantum information science, and factorization, as defined in high energy physics. Factorization acquires a non-perturbative definition when expressed in terms of a conditional form of separability. An example illustrates how to go from data for momentum 4-vectors to a density matrix while bypassing almost all the formalism of the Standard Model.