Analysis and assessment of forensic medical examinations and studies of living individuals who have experienced acute intestinal infections for 2018–2019 according to the BSME of the subject of the Russian Federation

2020 ◽  
Author(s):  
Olga Gritskevich ◽  
Dmitriy Kadochnikov
Keyword(s):  
Human Health ◽  
Medical Examination ◽  
Modern Approach ◽  
Intestinal Infections ◽  
The Subject ◽  
The Russian Federation ◽  
Medical Examinations ◽  
Main Factor

To assess the modern approach in determining the severity of harm to human health in acute intestinal infections, an analysis of the acts of the forensic medical examination of living persons who have suffered acute intestinal infections was carried out on the basis of the forensic medical examination bureau of the southern region for 2018–2019. The analysis showed that today, children are more susceptible to acute intestinal infections, and according to the standards for assessing the degree of harm to human health, the main factor is taken into account, the number of days spent on inpatient or outpatient treatment, regardless of the severity of the infection. In this case, no attention is paid to the long-term consequences of the infection, which, in turn, lead to chronic diseases of the gastrointestinal tract and significantly reduce the quality of life. The findings indicate the need to develop criteria for assessing the severity of harm to health in acute intestinal infections. This will make it possible to systematize the approach and objectively assess the degree of harm caused to health.

Machine Learning for Neurodegenerative Disorder Diagnosis — Survey of Practices and Launch of Benchmark Dataset

2018 ◽  
Vol 27 (03) ◽  
pp. 1850011 ◽  
Author(s):  
Athanasios Tagaris ◽  
Dimitrios Kollias ◽  
Andreas Stafylopatis ◽  
Georgios Tagaris ◽  
Stefanos Kollias
Keyword(s):  
Machine Learning ◽  
Neurodegenerative Disorder ◽  
Developed Countries ◽  
Machine Learning Techniques ◽  
Network Architectures ◽  
Imaging Data ◽  
Learning Techniques ◽  
Medical Examinations

Neurodegenerative disorders, such as Alzheimer’s and Parkinson’s, constitute a major factor in long-term disability and are becoming more and more a serious concern in developed countries. As there are, at present, no effective therapies, early diagnosis along with avoidance of misdiagnosis seem to be critical in ensuring a good quality of life for patients. In this sense, the adoption of computer-aided-diagnosis tools can offer significant assistance to clinicians. In the present paper, we provide in the first place a comprehensive recording of medical examinations relevant to those disorders. Then, a review is conducted concerning the use of Machine Learning techniques in supporting diagnosis of neurodegenerative diseases, with reference to at times used medical datasets. Special attention has been given to the field of Deep Learning. In addition to that, we communicate the launch of a newly created dataset for Parkinson’s disease, containing epidemiological, clinical and imaging data, which will be publicly available to researchers for benchmarking purposes. To assess the potential of the new dataset, an experimental study in Parkinson’s diagnosis is carried out, based on state-of-the-art Deep Neural Network architectures and yielding very promising accuracy results.

scholarly journals Intellectual Capital of a Trading Company: Comprehensive Analysis Based on Reporting

2020 ◽  
Vol 12 (17) ◽  
pp. 7095
Author(s):  
Oksana Pirogova ◽  
Olga Voronova ◽  
Tatyana Khnykina ◽  
Vladimir Plotnikov
Keyword(s):  
Content Analysis ◽  
Intellectual Capital ◽  
Value Added ◽  
Management Policy ◽  
Annual Reports ◽  
Trading Company ◽  
Significant Relationships ◽  
The Subject ◽  
The Russian Federation

The study is devoted to the analysis of the efficiency of use and the effectiveness of disclosing the intellectual capital (IC) of a trading company operating in the market of the Russian Federation. The subject of the research is an assessment of the quality of disclosure of information about the IC company involved in the creation of financial results of activities and the growth of the company’s value. The study examines the assessment of IC and the search for links between the involvement of IC in the formation of the financial result of a trading company and the degree of its reflection in the company’s annual reports. Methods of using intellectual value-added coefficients (VAIC) such as the trademark logo (written as ™), Calculated Intangible Value (CIV) and content analysis of the company’s annual reports are used to assess the IC and its elements. The influence of IC and its components, on the financial results of a trading company are also investigated and calculated using various methods. It is shown that there are no statistically significant relationships between the assessments of IC and its elements obtained using financial ratios, and those obtained using content analysis. This indicates that the opinions and assessments of the heads of a trading company regarding IC are formed regardless of the size of IC involved in the formation of economic results and testifies to the absence of an effective investment management policy in the studied company. Some of the results obtained confirm the trends in IC structures previously observed for companies in other industries. The results also indicate that the existing system for preparing annual reports does not sufficiently consider the size, dynamics and efficiency of using the intangible assets of a trading company. The results of this study are likely to be useful to management and academics.

USE OF REGRESSION ANALYSIS IN FORECAST TASKS

2020 ◽  
pp. 22-27
Author(s):  
E.S. Lartseva ◽  
◽  
A.D. Kuznetsova
Keyword(s):  
Regression Analysis ◽  
Animal Population ◽  
Short Term ◽  
Statistical Estimates ◽  
Term Forecast ◽  
Applied Software ◽  
The Family ◽  
The Russian Federation

Based on official statistics on the number, of representatives of the family of non-ruminant cloven-hoofed animals (Artiodactyl) on the territory of the Russian Federation. Using the example of two species: domestic pigs and wild boars, the dynamics of the indicator for the long term is analyzed. Multidirectional trends were revealed for each species. Mathematical models of the dynamics of the livestock were obtained using the methods of regression analysis and applied software. Statistical estimates of the quality of animal population models were obtained. The short-term forecast for 2020 has been fulfilled.

OPTIMIZATION OF SOY RIPENING AND HARVESTING IN THE CONDITIONS OF THE NON-CHERNOZEM ZONE OF RUSSIA

2020 ◽  
pp. 21-26
Author(s):  
TAMARA P. KOBOZEVA ◽  
◽  
NATALIA P. POPOVA ◽  
MARINA E. BELYSHKINA
Keyword(s):  
Unsaturated Fatty Acids ◽  
Essential Amino Acids ◽  
Coarse Fraction ◽  
Podzolic Soils ◽  
Long Day ◽  
Northern Border ◽  
The Russian Federation ◽  
Formation Phase

The paper presents the results of long-term research on the infl uence of pinching of Northern ecotype soybeans (Okskaya variety) on yield, protein, and oil productivity in high latitudes (57°), a long day, a limited amount of active temperatures (1700…2000 °C) on sod – podzolic soils of the Non-Chernozem zone of the Russian Federation. The authors determine the prospects of using the method for varieties of an indeterminate type of growth. The pinching of crops was carried out three times: at the beginning of the fl owering phase, in the middle of the fl owering phase, and at the beginning of the bean formation phase. It was found that the pinching of crops carried out at the beginning of the bean formation phase, reduces the duration of the growing season by an average of 15 days. The technique ensures a more than double increase in the number of side shoots. The share of the coarse fraction of seeds was about 89%, the yield of seeds reached up to 2.00 t/ha, the protein content in seeds – up to 42.2%, fat – up to 19.1%, protein collection from the seed yield – up to 0.834 t/ha, essential amino acids in protein – up to 0.459 t/ha, fat – up to 0.380 t/ha, collection of unsaturated fatty acids – up to 0.228 t/ha. It is shown that the technique allows optimizing the ripening processes without reducing the productivity and quality of the crop, while the costs of pinching are paid off by reducing the costs of harvesting. The obtained data can be used to optimize soybean growing technologies at the northern border of the soy cultivation

scholarly journals Poverty Alleviation Through the Program Slums in the City of Kendari, Indonesia

2019 ◽  
Vol 9 (2) ◽  
pp. 35
Author(s):  
Joko Tri Brata ◽  
La Ode Bariun ◽  
Asri Djauhar ◽  
Andi Gusti Tantu
Keyword(s):  
Quality Improvement ◽  
Focus Group ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Group Discussion ◽  
Governance Model ◽  
The Subject ◽  
The City

The long-term goal of the concept of poverty reduction is to give the same level of welfare for the Indonesian people, and in this research is the development of innovative Models of Poverty Reduction, with the subject on (1) How the application design model of the institutional prevention of poverty through interface Program Quality Improvement of Slums and (2) how the efforts in governance of slum through simulation integration with poverty alleviation. The method used is the description by sharpening the Focus Group Discussion (FGD) about the handling of the slums in the city of Kendari and intervention efforts Increase the quality of housing and slums, so that the governance model can be used in other areas in Southeast Sulawesi.

scholarly journals Incorporation of Anti-Corruption Digital Content into Engineering Education

2020 ◽  
Vol 35 ◽  
pp. 01013
Author(s):  
Natalia A. Safonova
Keyword(s):  
Vocational Education ◽  
Educational Process ◽  
Educational Institutions ◽  
Legal Consciousness ◽  
Digital Environment ◽  
The Subject ◽  
The Russian Federation ◽  
High Level ◽  
Effective Use

Vocational education of a modern person is a comprehensive acquisition of knowledge not only in the field of a future specialty but also in the field of anti-corruption norms and rules that extend their effect to the field of activity of a future engineer. The requirements for the level and quality of modern vocational education determine the objectives of modern vocational education in professional educational institutions of higher education. The effective use in the educational process of the achievements of modern digital technologies in the study of non-core disciplines is a prerequisite for the formation of a professionally-oriented personality, with a high level of anti-corruption legal consciousness. The subject of the study was the capabilities of modern technical means for transmitting the studied information of anti-corruption content to the student, the prospects for the development of their use in studying the provisions of the legislation on anti-corruption regulation in the Russian Federation. The method of this study was – the analysis of the modern digital environment of the educational process.

scholarly journals The development of Russian tourism market: problems and potential

2021 ◽  
pp. 21-38
Author(s):  
Vera Sergeevna Zarutskaya
Keyword(s):  
Statistical Data ◽  
Numerical Data ◽  
Comprehensive Management ◽  
Tourism Sector ◽  
Domestic Tourism ◽  
Long Term Trends ◽  
The Subject ◽  
The Russian Federation ◽  
In The Beginning

The downturn in tourism sector due to the COVID-2020 pandemic requires active measures taken by the governments towards reorientation of national tourism markets towards domestic tourism. The subject of this article is the economic health of tourism. The object is the tourism market of the Russian Federation. The article is dedicated to statistical analysis of the Russian tourism market. The research methodology is based on the systematic approach towards management. Using the official data of Rosstat, the author examines the 2014 – 2019 period of development of the tourism market. The analysis of the results of 2020 is conducted via using relevant statistical data and expert evaluations published by the recognized organizations. Description is given to the current concept of tourism market, adopted by Rosstat for data collection. The author provides the results of comparison of the official statistical data that reflect the situation and trends in the development of Russian tourism market over the period from 2014 to 2019. Assessment is given to the long-term trends that determine the pre-crisis state of the tourism market. The conclusion is made on the growth of tourism market in the indicated period. The article reveals the peculiarities of consumer behavior developed in the market by the end of 2019. Sustained imbalance of the demand for international tourism is observed. The key outcome of the crisis for tourism sector 2020 are presented in form of comparison of numerical data in the beginning and in the end of the year. The trends established in the behavior of consumers and companies are described. The author underlines the need for comprehensive management of the market in order to fulfill the potential of domestic tourism.

scholarly journals Entrepreneurship in agricultural sector: international practice

2021 ◽  
Vol 3 ◽  
pp. 58-66
Author(s):  
M. A. Bayandin ◽  
◽  
O. Yu. Patlasov ◽  
A. B. Bekmurzayeva ◽  
◽  
...  
Keyword(s):  
Agricultural Sector ◽  
Public Support ◽  
Developed Countries ◽  
Industrial Complex ◽  
Rural Settlements ◽  
The Russian Federation ◽  
The Republic ◽  
The Eu

The goal- at present there is no clear concept for the long-term development of infrastructure of agro-industrial complex in the republic, and the degree of support for agricultural sector is inferior to the level of advanced countries, which may lead to a restriction of the population's access to quality food. Methods - abstract-logical, monographic, sociological survey, economic-statistical, analytical. Results - the best world practice of rural entrepreneurship was reviewed. The experience of farmers of the Russian Federation, economically developed countries of the EU, Eastern Europe, advanced Asian States, including Japan and South Korea, is presented. It is indicated that the main condition for preservation and multiplication of the achievements of the AIC of the Republic of Kazakhstan is the socio-economic growth of rural settlements. The authors focus on the issue of ensuring food security - one of the main tasks of the economy of each country, the key areas of implementation of which are public support for agricultural sector, improving the quality of life of rural residents. The activity of agricultural producersis analyzed, problems of development of agribusiness in these countries and Kazakhstan are reflected, recommendations for their solution are presented. Conclusions - the following basic factors contributing to the formation and expansion of entrepreneurship in agro-industrial production are highlighted: improvement of the regulatory and investment base; business management, which implies transformation of the structure and advanced training of specialists of enterprises of agro-industrial complex, as well as the heads of peasant (private) farms. Access to markets is a serious problem for small and medium-sized enterprises in agricultural sector, which has a significant impact on the sphere of agricultural production and processing of agricultural products. The research results can be used in the development of measures to support SMEs in agricultural sector at the regional level.

Long Term Modernization of the Russian Tax Doctrine: Areas of Focus

2018 ◽  
Vol 11 (4) ◽  
pp. 133-140 ◽  
Author(s):  
Yu. D. Shmelev
Keyword(s):  
Social Justice ◽  
Welfare State ◽  
Social Development ◽  
Russian Federation ◽  
Tax Policy ◽  
Practical Implementation ◽  
The Subject ◽  
The Russian Federation ◽  
Superior Level

The subject of research is the tax policy of the Russian Federation and its implementation during the reforms of 1992– 2017. The purpose of the work is to identify taxation problems and develop a concept for the long term modernization of the tax doctrine as well as ways for its practical implementation. The author analyzes results achieved in the course of reforms and also identifies unresolved problems. Based on the assessment of the state’s social and economic strategy and tax doctrine, it is concluded that due to the lack of a clearly formulated tax doctrine, the tax policy was inconsistent and unsystematic. The suggested concept of long-term modernization of the tax doctrine (till 2030) along with ways for its practical implementation would allow to solve the main welfare state task proclaimed in Art. 7 of the Constitution of the Russian Federation: to reach a distinctly superior level of social development characterized by the principles of social justice enshrined in law.

Harmful Effects of Ecosystem Impairment on Human Health

2017 ◽  
pp. 224-232
Author(s):  
Suruchi Singh ◽  
Shashi Bhushan Agrawal ◽  
Madhoolika Agrawal
Keyword(s):  
Climate Change ◽  
Human Health ◽  
Will Force ◽  
Over Exploitation ◽  
The Cost ◽  
Global Population ◽  
Harmful Effects ◽  
Environment Degradation

Growing global population has caused environment degradation through ecosystem impairment and over exploitation. Although, people have made great moves for improving life style, and enjoy a drastically improved quality of life but such improvements have been made at the cost of environment degradation. Climate change will force humans to adjust with changing environment and find ways to deal with short term protection and long term health consequences. The range of potential threats to human health caused by climate change is increasing and at the same time is not clear. So, owing to the potential magnitude and universality of such an issue, we have a moral obligation for developing proper tools and make informed choices that ultimately result in better lives for the humans.

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