On priority development of knowledge economy

2021 ◽  
pp. 15-22
Author(s):  
A.G. Aganbegyan ◽  
Keyword(s):  
Mortality Rate ◽  
Knowledge Economy ◽  
Federal Budget ◽  
The Public ◽  
National Economic ◽  
Working Age ◽  
Low Efficiency ◽  
Child Mortality Rate ◽  
Main Component ◽  
High Level

A.G. Aganbegyan considers the knowledge economy as the main component of human capital. He analyzes certain areas of the knowledge economy (R&D, healthcare and education) by comparing relevant results demonstrated by Russian regions with similar indices reported for other countries. The article points out positive and negative aspects, e.g. high level and quality of education v. low efficiency of its application; lower cancer mortality rate and particularly child mortality rate v. high mortality from cardiovascular disease among working-age population, etc. Major causes of negative phenomena include insufficient funding of the public sector and inefficient administration. In order to remedy the situation, the author recommends the development of a new federal budget, transition to national economic planning and adjustment of national projects.

scholarly journals The demographic and geographic impact of the COVID pandemic in Bulgaria and Eastern Europe in 2020

2021 ◽  
Author(s):  
Antoni Rangachev ◽  
Georgi Marinov ◽  
Mladen Mladenov
Keyword(s):  
Mortality Rate ◽  
Eastern Europe ◽  
Excess Mortality ◽  
European Countries ◽  
Years Of Life Lost ◽  
Medical Resources ◽  
Mobility Data ◽  
Working Age ◽  
Eastern European Countries ◽  
High Level

Background: The COVID-19 pandemic followed a unique trajectory in Eastern Europe compared to other heavily affected regions, with most countries there only experiencing a major surge of cases and deaths towards the end of 2020 after a relatively uneventful first half of the year. However, the consequences of that surge have not received as much attention as the situation in Western countries. Bulgaria, even though it has been one of the most heavily affected countries, has been one of those neglected cases. Methods: We use mortality and mobility data from Eurostat, official governmental and other sources to examine the development and impact of the COVID-19 pandemic in Bulgaria and other European countries. Results: We find a very high level of excess mortality in Eastern European countries measured by several metrics including excess mortality rate (EMR), P-scores and potential years of life lost. By the last metric Eastern Europe emerges as the hardest hit region by the pandemic in Europe in 2020. With a record EMR at ~0.25% and a strikingly large and mostly unique to it mortality rate in the working age demographics, Bulgaria emerges as one of the most affected countries in Eastern Europe. The high excess mortality in Bulgaria correlates with insufficient intensity of testing and with delayed imposition of lockdown measures. We also find major geographic and demographic disparities within the country, with considerably lower mortality observed in major cities relative to more remote areas (likely due to disparities in the availability of medical resources). Analysis of the course of the epidemic revealed that individual mobility measures were predictive of the eventual decline in cases and deaths. However, while mobility declined as a result of the imposition of a lockdown, it already trended downwards before such measures were introduced, which resulted in a reduction of deaths independent of the effect of restrictions. Conclusions: Large excess mortality and high numbers of potential years of life lost are observed as a result of the COVID pandemic in Bulgaria, as well as in several other countries in Eastern Europe. Significant delays in the imposition of stringent mobility-reducing measures combined with a lack of medical resources likely caused a substantial loss of life, including in the working age population.

Radiological safety and assessment of the performance of X-ray systems in veterinary facilities

2020 ◽  
Author(s):  
S. Economides ◽  
C.J. Hourdakis ◽  
C. Pafilis ◽  
G. Simantirakis ◽  
P. Tritakis ◽  
...  
Keyword(s):  
Decision Making ◽  
Radiation Protection ◽  
Atomic Energy Commission ◽  
Atomic Energy ◽  
Regulatory Control ◽  
Continuous Training ◽  
X Ray ◽  
The Public ◽  
Radiological Safety ◽  
High Level

This paper concerns an analysis regarding the performance of X-ray equipment as well as the radiological safety in veterinary facilities. Data were collected from 380 X-ray veterinary facilities countrywide during the on-site regulatory inspections carried out by the Greek Atomic Energy Commission. The analysis of the results shows that the majority of the veterinary radiographic systems perform within the acceptable limits; moreover, the design and shielding of X-ray rooms as well as the applied procedures ensure a high level of radiological safety for the practitioners, operators and the members of the public. An issue that requires specific attention in the optimization process for the proper implementation of veterinary radiology practices in terms of radiological safety is the continuous training of the personnel. The above findings and the regulatory experience gained were valuable decision-making elements regarding the type of the regulatory control of veterinary radiology practices in the new radiation protection framework.

Developmental Disorders in Canada

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Sarah Palmeter
Keyword(s):  
Public Health ◽  
Developmental Disorders ◽  
Health Agency ◽  
The Public ◽  
Age Of Diagnosis ◽  
High Level ◽  
Project Objectives ◽  
Disability Severity ◽  
Occupational Function ◽  
Improve Health

In the completion of my practicum at the Public Health Agency of Canada (PHAC) this summer, I worked to develop a surveillance knowledge product to support the national surveillance of developmental disorders. This project used Statistics Canada’s 2017 Canadian Survey on Disability to investigate the burden of developmental disorders in Canada. Developmental disorders are conditions with onset in the developmental period. They are associated with developmental deficits and impairments of personal, social, academic, and occupational function. The project objectives are to estimate the prevalence of developmental disorders in Canadians 15 years of age or older, overall and by age and sex, as well as report on the age of diagnosis, disability severity, and disability co-occurrence in those with developmental disorders. The majority of the analysis has been completed and preliminary results completed, which cannot be released prior to PHAC publication. Although not highly prevalent, developmental disorders are associated with a high level of disability in young Canadians. Early detection and interventions have been shown to improve health and social outcomes among affected individuals. Understanding the burden of developmental disorders in Canada is essential to the development of public health policies and services.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

Researching the public procurement system: An analysis of winning organizations

2020 ◽  
Vol 16 (5) ◽  
pp. 860-884
Author(s):  
V.G. Kogdenko ◽  
A.A. Sanzharov
Keyword(s):  
Public Procurement ◽  
The Public ◽  
Debt Capital ◽  
Scientific Principles ◽  
General Scientific ◽  
Marketing Information ◽  
High Level ◽  
Return On Sales ◽  
Procurement System ◽  
Social Components

Subject. The article deals with the analysis of suppliers in the public procurement system based on reasonable prequalification parameters. Objectives. The aim is to test the hypothesis about strong reputation characteristics of the winners in the public procurement system and develop a methodology for assessing the reputation of suppliers for prequalification purposes. Methods. We employ general scientific principles and methods of research, like abstraction, generalization of approaches used by domestic and foreign authors for prequalification and assessment of reputation of public procurement participants. Results. To test the hypothesis, we calculated four groups of indicators on corporate, financial, market, and social components of reputation. The methodology was tested on the data obtained from SPARK-Interfax and SPARK-Marketing information resources. Conclusions. The study revealed that not all reputational characteristics of public procurement winners can be regarded as high level. In terms of the corporate component, it is the low level of share capital, indicating the mistrust on the part of owners and their reluctance to invest in the business, and the low percentage of non-current assets. In terms of the market component, it is a low sales growth rate, as well as low return on sales. As to the financial component, it is a low capitalization of winners, low share of long-term debt capital and low credit limit. With respect to the social component, it is a below-average tax burden.

A Sustainable Approach for Organisational using Strategic Management

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Abdulla Almazrouei ◽  
◽  
Azlina Md Yassin ◽  
Keyword(s):  
Mortality Rate ◽  
Strategic Planning ◽  
Strategic Management ◽  
Crime Rate ◽  
External Environment ◽  
Police Department ◽  
Public Institutions ◽  
Abu Dhabi ◽  
The Public ◽  
The World

Strategic management have gained popularity in the public institutions to foster good delivery service to the public. The strategic planning enables organizations to establish a strategic match between the internal competency, resources and external environment. Majority of the successful organizations across the world use strategic management and planning as a tool that enables to optimize the operations and achieve maximum productivity with the resources. This paper reviewed on strategic management for organisations in Abu Dhabi especially for Abu Dhabi Police (ADP) force. It presents three strategic management theories which can be adopted by an organisation. This would help the organisation such as police department to reduce the increasing crime rate and mortality rate in UAE.

Territorial Distribution of Alcohol and Drug Addictions Mortality Concerning Regional Disparities in the Slovak Republic from Year 1996 to Year 2015

2020 ◽  
Keyword(s):  
Mortality Rate ◽  
Slovak Republic ◽  
Regional Disparities ◽  
Point Of View ◽  
Extreme Position ◽  
Data Set ◽  
Female Sex ◽  
Male Sex ◽  
The Individual ◽  
High Level

BACKGROUND: This paper deals with territorial distribution of the alcohol and drug addictions mortality at a level of the districts of the Slovak Republic. AIM: The aim of the paper is to explore the relations within the administrative territorial division of the Slovak Republic, that is, between the individual districts and hence, to reveal possibly hidden relation in alcohol and drug mortality. METHODS: The analysis is divided and executed into the two fragments – one belongs to the female sex, the other one belongs to the male sex. The standardised mortality rate is computed according to a sequence of the mathematical relations. The Euclidean distance is employed to compute the similarity within each pair of a whole data set. The cluster analysis examines is performed. The clusters are created by means of the mutual distances of the districts. The data is collected from the database of the Statistical Office of the Slovak Republic for all the districts of the Slovak Republic. The covered time span begins in the year 1996 and ends in the year 2015. RESULTS: The most substantial point is that the Slovak Republic possesses the regional disparities in a field of mortality expressed by the standardised mortality rate computed particularly for the diagnoses assigned to the alcohol and drug addictions at a considerably high level. However, the female sex and the male sex have the different outcome. The Bratislava III District keeps absolutely the most extreme position. It forms an own cluster for the both sexes too. The Topoľčany District bears a similar extreme position from a point of view of the male sex. All the Bratislava districts keep their mutual notable dissimilarity. Contrariwise, evaluation of a development of the regional disparities among the districts looks like notably heterogeneously. CONCLUSIONS: There are considerable regional discrepancies throughout the districts of the Slovak Republic. Hence, it is necessary to create a common platform how to proceed with the solution of this issue.

Climate Justice

2018 ◽  
Keyword(s):  
Climate Change ◽  
Sustainable Development Goals ◽  
Climate Justice ◽  
Policy Discourse ◽  
Mary Robinson ◽  
The Public ◽  
Development Goals ◽  
To Come ◽  
Run Up ◽  
High Level

Climate justice requires sharing the burdens and benefits of climate change and its resolution equitably and fairly. It brings together justice between generations and justice within generations. The United Nations Sustainable Development Goals summit in September 2015, and the Conference of Parties to the Framework Convention on Climate Change in Paris in December 2015, brought climate justice center stage in global discussions. In the run up to Paris, Mary Robinson, former president of Ireland and the UN Secretary General’s Special Envoy for Climate Change, instituted the Climate Justice Dialogue. The editors of this volume, an economist and a philosopher, served on the High Level Advisory Committee of the Climate Justice Dialogue. They noted the overlap and mutual enforcement between the economic and philosophical discourses on climate justice. But they also noted the great need for these strands to come together to support the public and policy discourse. This volume is the result.

scholarly journals Data Reduction in the String Space for Efficient kNN Classification Through Space Partitioning

2020 ◽  
Vol 10 (10) ◽  
pp. 3356 ◽  
Author(s):  
Jose J. Valero-Mas ◽  
Francisco J. Castellanos
Keyword(s):  
Data Reduction ◽  
Structural Data ◽  
Data Representation ◽  
Space Partitioning ◽  
Classification Rate ◽  
Symbolic Data ◽  
Knn Classifier ◽  
Initial Dataset ◽  
Low Efficiency ◽  
High Level

Within the Pattern Recognition field, two representations are generally considered for encoding the data: statistical codifications, which describe elements as feature vectors, and structural representations, which encode elements as high-level symbolic data structures such as strings, trees or graphs. While the vast majority of classifiers are capable of addressing statistical spaces, only some particular methods are suitable for structural representations. The kNN classifier constitutes one of the scarce examples of algorithms capable of tackling both statistical and structural spaces. This method is based on the computation of the dissimilarity between all the samples of the set, which is the main reason for its high versatility, but in turn, for its low efficiency as well. Prototype Generation is one of the possibilities for palliating this issue. These mechanisms generate a reduced version of the initial dataset by performing data transformation and aggregation processes on the initial collection. Nevertheless, these generation processes are quite dependent on the data representation considered, being not generally well defined for structural data. In this work we present the adaptation of the generation-based reduction algorithm Reduction through Homogeneous Clusters to the case of string data. This algorithm performs the reduction by partitioning the space into class-homogeneous clusters for then generating a representative prototype as the median value of each group. Thus, the main issue to tackle is the retrieval of the median element of a set of strings. Our comprehensive experimentation comparatively assesses the performance of this algorithm in both the statistical and the string-based spaces. Results prove the relevance of our approach by showing a competitive compromise between classification rate and data reduction.

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