scholarly journals THE USE OF MATHEMATICAL METHODS OF DIAGNOSTICS AS A FACTOR OF EFFECTIVE MANAGEMENT OF A MEDICAL ORGANIZATION

Author(s):  
O.V. Loginovskiy ◽  
◽  
D.V. Gilev ◽  

This article introduces the main mathematical methods of diagnosis of diseases. At first, based on the study of the issue, it is concluded that the task of diagnostics is the most important task for the implementation of effective activities of any medical institution. Methods. Further, in the theoretical part, the main diagnostic models are formulated, such as discriminant analysis and taxonomy (cluster analysis). Then methods of discriminant analysis are applied for the diagnostic system, which allow reducing the medical problem to a system of linear inequalities, using the meth-od of decomposition of the function by basic functions. Results. At the end of the article, important conclusions are made that iterative methods for solving this problem are grouped mainly around the linear correction method, and final methods are grouped around the simplex method. The issue of using decision rule collectives in application packages is also discussed. Further, as a practical part, we consider the application of the described methods to a specific medical task, namely, the diagnosis of primary headaches by signs. To solve the problem, we construct the decisive rules that are the result of discriminant analysis. For these purposes, the Committee method is enabled, and other methods are used in comparison with it. The results show better predictive power for the Committee method. Conclusion. In the conclusion the author about kind of the specifics of mana¬gement of medical institutions, and highlighted the criterion of a correct and timely diagnosis – as one of the main, lets talk about the efficiency of management from the point of view of public health that is Central to an integrated approach of evaluating the effectiveness of medical organiza-tions.

Author(s):  
O. Bulkot

The article is devoted to the problem of estimating the level of companies’ trasnationality. The existing approaches to the measurement of trasnationality are generalized. A methodology is developed for measuring the depth of company’s transnationality in operational and geographic dimensions. It is proposed to define the trasnationality as a function of the extent to which a firm’s activities are located abroad and focuses on the intensity of foreign activities in relation to domestic or global activities. The quantitative indicators of the level of company’s transnationality are estimated. The results of the research prove that in order to measure the level of companies’ transnationality, it is necessary to use an integrated approach that allows estimating the depth, breadth, intensity, and level of their operations and activities on a global scale. In this dimension, it is important not only to assess the level of integration of TNC operations carried out in host and home markets but also to implement special mathematical methods that allow demonstrating the correlation between the main dependent variables of the TNCs’ performance. Empirical studies prove the ease and fairness of the proposed methodology for comparing differences in their structure and specifics TNCs. From this point of view, it is quite correct to carry out an analysis of selected parameters, both non-financial MNCs and financial ones, in which the results of the analysis obtained will be absolutely comparable and fair for their comparison among themselves.


2020 ◽  
Vol 6 (3) ◽  
pp. 172-182
Author(s):  
Saodat Nosirova ◽  

The article is devoted to a comparative analysis of the socio -political terminology of the modern Chinese language.The purpose of the article is to search for an integrated approach to the study of the cognitive side of social and political terms of the Chinese language from the point of view of law enforcement in the process of translating official materials from Chinese into Uzbek and / or Russian and vice versa


Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 113
Author(s):  
Julia Koblitz ◽  
Sabine Will ◽  
S. Riemer ◽  
Thomas Ulas ◽  
Meina Neumann-Schaal ◽  
...  

Genome-scale metabolic models are of high interest in a number of different research fields. Flux balance analysis (FBA) and other mathematical methods allow the prediction of the steady-state behavior of metabolic networks under different environmental conditions. However, many existing applications for flux optimizations do not provide a metabolite-centric view on fluxes. Metano is a standalone, open-source toolbox for the analysis and refinement of metabolic models. While flux distributions in metabolic networks are predominantly analyzed from a reaction-centric point of view, the Metano methods of split-ratio analysis and metabolite flux minimization also allow a metabolite-centric view on flux distributions. In addition, we present MMTB (Metano Modeling Toolbox), a web-based toolbox for metabolic modeling including a user-friendly interface to Metano methods. MMTB assists during bottom-up construction of metabolic models by integrating reaction and enzymatic annotation data from different databases. Furthermore, MMTB is especially designed for non-experienced users by providing an intuitive interface to the most commonly used modeling methods and offering novel visualizations. Additionally, MMTB allows users to upload their models, which can in turn be explored and analyzed by the community. We introduce MMTB by two use cases, involving a published model of Corynebacterium glutamicum and a newly created model of Phaeobacter inhibens.


Author(s):  
Chu-Fu Wang ◽  
Chih-Lung Lin ◽  
Gwo-Jen Hwang ◽  
Sheng-Pin Kung ◽  
Shin-Feng Chen

Assessment can help teachers to examine the effectiveness of teaching and to diagnose the unfamiliar basic concepts (or attributes) of students within the testing scope. A web-based adaptive testing and diagnostic system can achieve the above objective efficiently and correctly. From a diagnostic point of view, the major concerns are to diagnose whether or not an examinee has learned each basic concept well in the testing scope, while also limiting the number of test items used (the testing length) to as few as possible, which will be directly related to the patience of the examinee. In this paper, we consider a test item selecting optimization diagnostic problem to reveal the mastery profile of an examinee (that is, to diagnose each basic concept's learning status (well learned/unfamiliar) in the testing scope) with a short testing length and a limited test item exposure rate. This paper uses the techniques of Group Testing theory for the design of our test item selecting algorithm. Two test item selecting strategies, the bisecting method and the doubling method, are proposed. The effectiveness of the proposed methods was evaluated by experimental simulations. The results show that both of the proposed algorithms use fewer test items and a limited test item exposure rate compared to the conventional methods.


2015 ◽  
Vol 22 (3) ◽  
pp. 411-425 ◽  
Author(s):  
Rajesh Chadawada ◽  
Ahmad Sarfaraz ◽  
Kouroush Jenab ◽  
Hamid Pourmohammadi

Purpose – The purpose of this paper is to describe and implements an analytic hierarchy process (AHP)-QFD model for selecting the best location from an organization point of view which picks the site with the best opportunity requirements. Integration of AHP-QFD process gives us a new approach to assist organizations through observing various factors and selecting the best location among different alternatives. This approach uses AHP method to match the preferences required by decision makers and these preferences are applied to the characteristics of QFD. The model fundamental requirement are perfect potential locales and the areas are contrasted and both quantitative and qualitative elements to permit directors to join managerial experience and judgment in the answer process. The AHP-QFD model is also applied on a case study to illustrate the solution process. Design/methodology/approach – The integration of AHP and QFD is used to analyze available options and select the best alternative. This can be done by ranking each criterion through a pairwise comparison. Given collected data, the QFD approach is used to find the capability of each criterion. Findings – Integration of AHP-QFD is used to select the best alternative in facility location. This integrated approach can be best used in dealing with facility location problems. Originality/value – The developed AHP-QFD model in facility location problems, facilitates the inclusion of market criteria and decision maker opinion into the traditional cost function, which has been mainly distance base in the literature.


Author(s):  
N.D. Kobzeva ◽  
◽  
R.S. Durov ◽  
E.V. Varnakova ◽  
K.O. Kobzev ◽  
...  

The article deals with the stages of personnel planning, as well as forecasting methods. The characteristic features of forecasting methods and their types are analyzed. Considerable attention is paid to the stages of personnel planning. Based on the analysis, the author comes to the conclusion that personnel planning and forecasting is an integral part for any successful organization. It is worth noting that mathematical methods of planning will become more relevant than methods based on judgments.


2021 ◽  
Vol 7 (4) ◽  
pp. 18-27
Author(s):  
Yulia Udovenko ◽  
◽  
Evgeniya Gladyshko ◽  

The article is devoted to the problem of bullying and anti-bullying policy in school institutions. The problem of bullying, from a scientific point of view, began to be studied at the end of the 20th century. Today, this issue is covered in all laws and programs related to ensuring a safe educational environment for participants in the educational process. Bullying, as a social and pedagogical problem, has been actively studied since the beginning of the development of information and communication technologies, which contributed to the rapid dissemination of not only verbal, but also media information: photo and video facts about manifestations of bullying between children. The article presents the results of the research "Unicef", "La Strada-Ukraine", which indicate the prevalence of the phenomenon of bullying among children. The essence of the concept of "bullying" is revealed, as well as categories that are close in meaning: "violence", "aggression", "bullying", "bullying", "conflict". The structural components of the roles of the bullying process are described: initiators or offenders, helpers of offenders, defenders of the victim, victims and observers. The article provides data on anti-bulging programs in foreign countries and focuses on the problem of anti-bulging policy in educational institutions of our country. Three main approaches that make up the anti-bullying policy of schools are analyzed: disciplinary, restorative and an integrated approach, which is implemented using two directions: managerial and educational. The directions of anti-bullying policy at school are presented, namely managerial and educational. The managerial direction is organized and implemented by the head of the educational institution. The constituent components of activities in this area are an analysis of the current situation in an educational institution, the development of an official position of the institution regarding bullying and informing all participants in the educational process about it, the development of rules of conduct for all participants in the educational process and informing about them, defining the responsibilities and responsibilities of participants educational process in relation to the rules of safe behavior in an educational institution, instructing employees, students and parents. Whereas the educational direction is characterized by informing, explaining, developing the skills of tolerance and non-violent communication of all participants in the educational process.


2021 ◽  
Vol 66 (2) ◽  
pp. 275-290
Author(s):  
Eleonóra Matoušková

In economic science dominate orthodox economics (mainstream economics respectively neoclassical economics). Despite its numerous intellectual failures, orthodox economics continue to prevail in teaching at universities. A certain alternative to orthodox economics is heterodox economics, which consists of three groups of theoretical approaches, represented by the Left-wing heterodoxy and Neo-Austrian school (we include them together in the Old heterodoxy) and the New heterodoxy. The objective of this article is to define the differences between orthodox economics and heterodox economics, to find common features of individual heterodox approaches and identify substantial differences between them and also highlight the relevance of these heterodox approaches from the point of view of the challenges we are facing today. A common characteristic of heterodoxy is the rejection of orthodoxy, especially its research methods. Heterodox economists reject the axiom that individuals are always rational, the concept of ‘homo economicus’, the application of a formal-deductive approach, the use of mathematical methods in cases that are not appropriate for this, and access from a closed system position. Heterodoxy is a very diverse theoretical tradition, and there are differences not only between the Left-wing heterodoxy, Neo-Austrian school and New heterodoxy, but also within these heterodox groups. They differ on specific topics they deal with and proposed solutions to socio-economic problems.


Author(s):  
N. M. Glovyn

The influence of distillery stillage doses on the yield of wheatgrass hay on agrochemical properties of soils in general is considered in the article. The most effective dose of distillery stillage under existing conditions is revealed. Nitrogen is the decisive factor for the yield of the crops. Widespread deficiency of nitrogen represents scientific and practical interest for the agro-chemistry studying transformation of nitrogen in soil-fertilizer-plant system for the purpose of increase in efficiency of crops quality in the biological relation. Increase in the main production of distilleries and conse-quently in waste products of the spirit industry, low demand from cattle breeders on the distillery stillage (feeding of cattle with distillery stillage is precisely connected with seasons, i.e. it is fed, mainly, during the stall period) has led to the fact that nearly 50% of it could not be sold. Development and deployment of new waste-free technologies of production of alcohol will demand a lot of time and expenses, and the unused stil-lage comes to ponds stores daily which are gradually overflowed that endangers the ecological condition of croplands and open reservoirs, adjacent to distilleries. Moreover, long storage in ponds leads it to spoiling, stratification and formation of a ground deposit. Therefore the problem of stillage utilization is very actual now and demands an integrated approach to its consideration as it has to be considered in the economic point of view, and from compliance to requirements of the nature protection legislation. One of the solutions of the problem stillage utilization is its application in agriculture as fertilizer. In Ukraine, the grain bards resources are quite significant, given the volume of alcohol SE Ukrspirt. The volume pislyaspyrtovoyi bards on modern technology is per 1 dm3 alcohol 11 ... 13 dm3 bards. However, it can be stored quickly sour, costly transportation to the consumer. Reset distillery bards in the river leads to significant environmental degradation. It solids accumulate in water pipes and riverbeds, decompose and pollute the environment. To build bards were repositories (filtration fields), which naturally occurs mechanical, chemical and biological treatment of waste. In bioshari formed in a layer of filtration load, the sewage draining into the ground, organic matter biodegradable. This mechanism is similar to the process of composting cut vegetation, household food waste and so on.


2020 ◽  
Vol 17 (3) ◽  
pp. 867-890
Author(s):  
Jun-Hee Choi ◽  
Hyun-Sug Cho

The gravimetric method, which is mainly used among particulate matter (PM) measurement methods, includes the disadvantages that it cannot measure PM in real time and it requires expensive equipment. To overcome these disadvantages, we have developed a light scattering type PM sensor that can be manufactured at low cost and can measure PM in real time. We have built a big data system that can systematically store and analyze the data collected through the developed sensor, as well as an environment where PM states can be monitored mobile in real time using such data. In addition, additional studies were conducted to analyze and correct the collected big data to overcome the problem of low accuracy, which is a disadvantage of the light scattering type PM sensor. We used a linear correction method and proceeded to adopt the most suitable value based on error and accuracy.


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