Measuring the Success of the Presidency of the Council of the EU

Topicality. The modern development of field hockey requires a more detailed analysis of individual aspects of the game, the study of quantitative and qualitative indicators of technical and tactical actions performed in different game zones of the hockey field is relevant. The purpose of the study is to determine qualitative and quantitative model indicators of technical and tactical competitive actions in different zones of the playing field of highly qualified field hockey players. Material and methods. The following methods of scientific research were used to implement the research goal: analysis of literary sources, pedagogical observation and analysis of competitive activity, methods of mathematical statistics. Technical and tactical actions (TTA) in field hockey were studied in the process of observing the games of highly qualified teams during the World League, World Universiade, and Euroleague competitions. Results. According to the conclusions of our research, the quantitative indicators of the protection zone "A" should be greater than 40 TTA, the qualitative indicators should be higher than 88%, zone "B" respectively 54 TTA and 82 %; in the zone of action of halfbacks "V", the number of performed actions must be higher than 48 TTA with an efficiency of at least 79 %; in zone "G" the quantitative indicator should exceed 38 TTA, their efficiency is higher than 68 %. According to the direction of the attack (from the left side, from the center, from the right side), the quantitative indicators should be distributed almost evenly and fluctuate within 50-70 TTA, the average efficiency indicator along these lines should not be lower than78 %. In general, the team's game should be characterized by the following indicators of technical and tactical actions: their sum should be at least 686 TTA, the efficiency should be higher than 78 %. Conclusions. The method of researching competitive activity by zones and lines of attack is quite informative, and therefore can be an effective tool for improving the educational and training process of qualified field hockey players.

The article deals with the issues of integration of individual national educational systems and the formation of a single Eurasian educational space. The purpose of the article is to assess the degree of readiness of the national higher education systems of the Eurasian Economic Union (EAEU) member states for consistent integration. The assessment was conducted employing the tools of mathematical statistics. At the first stage, the authors formalized the national education system parameters in the form of a scorecard. At the second stage of the study, a comparative analysis of educational systems was carried out based on enlarged groups of quantitative and qualitative indicators. To conduct a comparative analysis of educational systems the authors used comparative logical, descriptive, and cluster analysis methods. According to the analysis results, Armenia and Belarus turned out to be the countries, most close to each other in terms of the totality of qualitative and quantitative indicators of national higher education systems. The conducted analysis allows concluding that Belarus can integrate with other countries most easily. Armenia is ranked the second country capable of such integration. Kazakhstan and Kyrgyzstan are in the third and fourth places, respectively. According to the results of the cluster analysis, Russia has shown a minimal degree of integration of the higher education system with other EAEU countries, as it is the leader in terms of several qualitative and quantitative indicators. The authors have empirically proved that the EAEU member states have similar approaches to the organization of the higher education system and can hypothetically be united into a single educational cluster within a single Eurasian educational space.

Exergetic optimization of absorption chillers – A case study

Abstract: This article draws out some interpretations of the concept of “education”, founded points of agreement and disagreement between researchers of the problem of organizing the educational process. Quantitative and qualitative statistical indicators play a vital role in student’s education, so there are given some criteria and methods of tracking and evaluating educational results. Keywords: upbringing, qualitative indicators, quantitative indicators, upbringing system, algorithm, diagnostics.

The criminological analysis of organized crime can be carried out on the basis of quantitative and qualitative indicators. Among the quantitative indicators are: crime rate, criminal record, crime price, crime rates and crime dynamics. Qualitative indicators are: structure, nature and geography of crime.The article provides quantitative and qualitative indicators of organized crime using statistical information on the results of the fight against organized groups and criminal organizations) for 2017–2018, which is presented by Prosecutor General’s Office of Ukraine.Based on the analysis of organized crime in Ukraine, it has been established that three types of criminal associations are widespread behind the nature of activities: with corrupt ties, with inter-regionalties, and transnational ties. It was established that among criminal associations, 7–12% have corrupt ties, 13–14% have inter-regional ties. At the same time, the number of particularly serious and serious crimes of criminal associations revealed increased from 476 (2017) to 920 (an increase of 93%) in 2018. The main areas of activity of criminal associations in Ukraine are such sectors of the economy as the coal and oil and gas industries; banking and budget systems.The geography of the number of identified criminal associations in 2018 shows that in total criminal associations were neutralized in Kyiv (22), Kharkov oblast (19) Odessa oblast (18), Dnipropetrovsk oblast (17), Donetsk oblast (17), Kiev oblast (sixteen). In general, in Ukraine for 2017–2018. In 2018, there was a tendency to increase the number of criminal associations with interregional ties that involved a corrupt method of criminal activity.

Assoc KU Leuven, KHBO, B-8400 Oostende, Belgium. Natl Nat Sci Fdn China, Div Lab Management, Beijing 100080, Peoples R China. Chinese Acad Sci, Documentat & Informat Ctr, Chinese Sco Citat Database, Beijing 100080, Peoples R China. Hasselt Univ, B-3590 Diepenbeek, Belgium.Jin, BH, Chinese Acad Sci, Documentat & Informat Ctr, Chinese Sco Citat Database, 33 Beisihuan Xilu, Beijing 100080, Peoples R China.jinbh@mail.las.ac.cn ronald.rousseau@khbo.be sunxx@nsfc.gov.cn

Transportation performance measures are defined as quantitative and qualitative indicators that rely on data or information to explain mobility, traffic congestion, safety, environmental sustainability and other factors. Although performance measures have been used for freeways and other highways, not many have been specified and applied to the freight transportation system. Under the Fixing America's Surface Transportation Act (FAST Act), state transportation agencies and metropolitan planning organizations in the United States are implementing freight performance measurement systems for performance assessment. This research aims to expand the existing freight performance measures and organize them into a integrated framework. The proposed framework consists of four criteria: safety, mobility, traffic congestion, and environmental sustainability. Each criterion consists of several qualitative and quantitative indicators. To address the challenge of integrating freight data of different sources and formats, an ontology-based approach has been proposed, implemented and. The Freight Performance Ontology was created using a bottom-up, data-driven approach, that included an initial concept map used to verify the conceptualization with domain experts before formalizing it in an ontology. The proposed ontology framework addresses specific metrics for the U.S. — Mexico border region in El Paso, TX. However, the proposed framework is generic and can be extended to integrate and aggregate data on a larger scale such as a state or country. Freight Performance is a foundational piece of Smart Mobility, and by integrating heterogeneous data, it provides a way to evaluate and improve services in Smart Cities.

Analysis of the organizational and structural reforming of stomatological (dental), including orthopedic, care in Bishkek under the Manas, Manas Taalimi and Den Sooluk programs in 2015–2019 compared with the initial stage of reforms (1997) showed stable trends — 5 out of six independent dental clinics were retained after the reforms. However, only 2 out of 14 health care organizations retained their existing dental units. Qualitative and quantitative indicators by stuff, quantitative and qualitative indicators are relatively stable. Public-private partnership in the dental, orthopedic dental areas appears as a perspective.

The article argues that the effective and coherent functioning of the financial sector requires public trust at all levels. In this regard, it is important to provide a thorough methodological basis that will be the cornerstone of an element-by-element and integrated assessment of the level of public trust in the financial sector of the economy. Much of the previous research on calculating the level of trust in the financial sector has been qualitative. Examining the existing approaches to calculating the level of trust in the financial sector of the economy, qualitative and quantitative indicators that are best to describe, influence, or characterize public trust in the financial sector have been identified. Using multivariate factor analysis based on the principal components method, all quantitative and qualitative indicators were grouped into three factors that characterize the formation of trust/distrust in (1) monetary authority and the monetary policy sequence of the central bank (macro-level); (2) financial services and products (micro-level); (3) financial institutions (meso-level). Based on the identified factor loads, the indicators of the balance of trust/distrust in the financial sector at the macro, meso, and micro levels, as well as the integrated indicator of the balance of trust/distrust in the financial sector of the economy for 2010-2020 have been developed and calculated. The calculated integrated indicator of the balance of trust/distrust in the financial sector had been negative during the analyzed period and ranged from -22.82 to -49.80%, indicating a chronic crisis of public trust in Ukraine. According to the obtained values of both element-by-element and integrated indicators, the aggravation of the trust crisis in the financial sector at all levels of its manifestation occurred in 2014, which coincides with the general trend of changes in socio-economic and financial condition. It is determined that the decline in dollarization has been found to indicate a return to public trust in the financial sector at the macro level. In contrast, an increase in the optimistic consumer sentiment and a decrease in cash outside the financial system accompanied by wages rise has been found as evidence of renewed trust in the financial sector at the meso and micro levels, respectively. The findings of this study have several important implications for financial policy improvement.

The vast majority of researches have focused on the study of an association between the body physical capabilities and quantitative, qualitative indicators and the rheological properties of blood depending on the level of physical activity or physical performance. However, the influence of performance (strength, endurance, speed), which is mainly trained by athletes, on the quantitative and qualitative blood indicators have not been studied enough.The aim of the work – to study the association between the quantitative and qualitative blood indicators with the characteristics of strength, endurance or speed, that are mainly trained by athletes in different sports.Materials and methods. A total of 72 athletes (52 men and 20 women) qualified from Candidate Master of Sports (CMS) to Master of Sports of International Class (MSIC) (mean age 21.75 ± 3.32 years) were examined. Depending on the physical performance mainly trained by athletes, three groups were formed: the first group – 48 athletes who mainly trained endurance performance (triathlon, swimming, long-distance running, rowing), the second group – 16 athletes who mainly trained speed performance (sprint running), the third group – 8 athletes who mainly trained strength performance (weightlifting, powerlifting, kettlebell lifting). Among them, there were MSIC – 2, masters of sports (MS) – 25, CMS – 45. Blood parameters were determined in the capillary blood of the athletes, using an automatic hematology analyzer “Abacus junior” (Diatron Messtechnik GmbH, Austria).Results. Groups of athletes who mainly trained endurance or strength performance did not differ from each other in many blood indicators. However, athletes who mainly trained strength performance had a more pronounced anisocytosis, as evidenced by a 5.8 % (Р = 0.008) increase in erythrocyte distribution width (RDWc, %), than athletes who trained endurance performance, as well as by a 15.4 % (Р = 0.033) higher mean platelet volume.Athletes who predominantly trained speed performance had an increased erythrocyte mean corpuscular volume (MCV) by 4.6 % (Р = 0.0082), absolute (MID) and relative (MI) mixed number of monocytes, eosinophils and basophils by 172.9 % (Р = 0.0004) and 158.3 % (Р = 0.0002), respectively, than athletes who trained endurance performance.In athletes who trained strength performance, in contrast to athletes who trained speed performance, significantly higher red blood cell indicators were detected: absolute number of erythrocytes by 7.6 % (Р = 0.040); haemoglobin content by 8.0 % (Р = 0.032); mean corpuscular hemoglobin concentration by 6.4 % (Р = 0.025); RDWc by 5.7 % (Р = 0.006) with a decrease of 5.9 % (Р = 0.001) in MCV.Conclusions. Mobilization of the blood oxygen transport function in response to physical activity in athletes, who mainly trained strength performance, was accomplished through the increasing erythrocyte count, hemoglobin content and mean corpuscular hemoglobin concentration with the decreasing erythrocyte mean corpuscular volume. Athletes who predominantly trained speed performance showed the downward changes in erythrocyte count, hemoglobin content, mean corpuscular hemoglobin concentration (within the reference values) and increased erythrocyte mean corpuscular volume. In athletes who mainly trained endurance performance, the erythrocyte population was medium– sized with medium level of mean corpuscular hemoglobin.

ObjectivesTo assess the clinical severity of COVID-19 pneumonia using qualitative and/or quantitative chest CT indicators and identify the CT characteristics of critical cases.Materials and MethodsFifty-one patients with COVID-19 pneumonia including ordinary cases (group A, n=12), severe cases(group B, n=15) and critical cases (group C, n=24) were retrospectively enrolled. The qualitative and quantitative indicators from chest CT were recorded and compared using Fisher's exact test, one-way ANOVA, Kruskal-Wallis H test and receiver operating characteristic analysis.ResultsDepending on the severity of the disease, the number of involved lung segments and lobes, the frequencies of consolidation, crazy-paving pattern and air bronchogram increased in more severe cases. Qualitative indicators including total severity score for the whole lung and total score for crazy-paving and consolidation could distinguish groups B and C from A(69% sensitivity, 83% specificity and 73% accuracy) but were similar between group B and group C. Combined qualitative and quantitative indicators could distinguish these three groups with high sensitivity(B+C vs. A, 90%; C vs. B, 92%), specificity(100%, 87%) and accuracy(92%, 90%). Critical cases had higher total severity score(>10) and higher total score for crazy-paving and consolidation(>4) than ordinary cases, and had higher mean lung density(>-779HU) and full width at half maximum(>128HU) but lower relative volume of normal lung density(≦50%) than ordinary/severe cases. In our critical cases, eight patients with relative volume of normal lung density smaller than 40% received mechanical ventilation for supportive treatment, and two of them had died.ConclusionA rapid, accurate severity assessment of COVID-19 pneumonia based on chest CT would be feasible and could provide help for making management decisions, especially for the critical cases.

Prediction of the superiority of the hydrodynamic performance of hull forms using deep learning

Local Agenda 21 organizations have been founded at the most divisions of local government in Chungcheongbuk-Do, but there has been no methods to monitor the total Sustainable Development trends. For the alternative solution of that problem in the Province, this study purposed (1) to develop Indicators fit to this Province (2) to examine the availability of the developed indicators adopting to each division section. Indicators were developed and examined by fields and Quantity / Quality considerations. As a 1st step, committee-composed with field professionals each-selected and developed Quantitative Sustainable Development Indicators(SDIs) optimized to Chungbuk-Province through critical discussions proposing Qualitative Indicators as a suggestion. In 2nd step, developed Indicators were applied and tested upon each divisions. Statistic data were used to calculate indices. 3rd step is adoption stage of Qualitative Indicators which were tested with questionnaire survey analysis. As a results, SDIs for Chungcheongbuk-Do -38 Quantitative SDIs within 4 provisions of 11 items with 8 Qualitative indicators categorization be put off- is developed. With the application test, 5 Quantitative Indicators- were found to be not adaptable because of lack or none of statistic data. Among the 8 Qualitative Indicators, 3 pairs found to be similar results in each pair which needed to be integrated into one. With them, bio-species related and health related Indicators were proposed to be newly added. Nation wide Sustainability comparison between divisions and Ecological Indicator selection are another themes to be considered.

Aims: In contrast to the classical approaches of the standard model of tax evasion based on game theory, our manuscript has considered the detection of tax evasion as one of the main function of tax administration and has proposed a model for assessing the probability of tax evasion taking into consideration qualitative and quantitative indicators.
 Study Design: This investigation has been carried out on the basis of research methods such as scientific abstraction and systematic analysis, expert evaluation, logical generalization, statistical analysis.
 Place and Duration of Study: Department of Mathematical provision of economic researches, between November 2019 and May 2020.
 Methodology: For the evaluating of the probability of tax evasion’s detection firstly, efficiency indicators of tax administration were selected including 3 groups such as internal environmental, external micro, and external macro-environmental factors. These indicators consist of both quantitative as well as qualitative indicators. Quantitative indicators were assessed on the base on statistics information base. Quantitative indicators were assessed on the base of expert skills, knowledge, and experiences in accordance with under investigation countries. The objectiveness of obtained data that characterize qualitative indicators was checked and used both these as well as quantitative indicators for formulating the tax efficiency index. The next step is consists of using these formulations for evaluating the probability of detection of tax evasion under uncertainty. The impact degrees (membership functions) of the parameters that characterize the influence of 3 groups-environmental factors, in the detection of tax evasion were defined, and taking them into account in the fuzzy inference system probability of detection of tax evasion was assessed.
 Limitations: Lack or uncertainties of the information base cause difficulties in applying our model.
 Results: The probability of detection of tax evasion in the Republic of Azerbaijan was assessed with the proposed model and depends on the results recommendations have been consulted for improving appropriate tax system. As a result of model the probability of detection of tax evasion was defined 29%. The result shows that tax administration mechanism in Azerbaijan Republic need to be improved.
 Conclusion: Proposed model drives practical significance as a providing effective activity of tax institutions by defining the level of tax administration, as well as, as an impacting remarkably the revenue of state budget by determining the probability of tax evasion's detection.

The article presents the authors’ understanding of qualitative risk assessment of criminal offenses in the national economy sector, based on the premise that the mission of qualitative risk analysis is to identify the sources and causes of risk at each stage of its formation. The content and key scientific principles of assessing qualitative indicators are revealed. These principles involve the use of expert methods necessary for preparing, selecting, and evaluating risks, as well as making substantiated, rational, and effective decisions in risk management within the economic domain. The article substantiates a qualitative indicator that enables evaluation (together with quantitative indicators of criminal offenses) of deviations in the priorities of a state body responsible for implementing national policy in a particular sector (budgetary, tax, customs, monetary-credit, or investment) from the actual execution of that policy based on a defined risk or its components. It is determined that the qualitative indicator reflects the opinion of the expert community within the institution, in accordance with its powers and based on relevant knowledge and experience. Based on the analysis of existing expert assessment methods, the study updates and proposes a questionnaire for assessing the risk of committing a criminal offense. Taking into account the specifics of this research, the questionnaire is divided into institutional blocks according to the competence of state bodies within the risk cluster. The paper emphasizes the crucial role of principles that perform integrative, synthesizing, and organizing functions in risk assessment. These principles are visualized as the coverage of powers of the relevant state institution concerning the management of the risk of criminal offenses or the phenomena that form them. As a result of the study on qualitative risk indicators, the necessity for the development and testing of methodological approaches to assessing quantitative indicators is substantiated.