TIMELY THOUGHTS UPON THE 20TH ANNIVERSARY OF THE DECREE OF THE PRESIDENT OF UKRAINE "ON THE DEVELOPMENT OF SOCIOLOGICAL SCIENCE IN UKRAINE"

2021 ◽  
pp. 184-184
Author(s):  
IURII IAKOVENKO
Keyword(s):  
Large Scale ◽  
Executive Branch ◽  
Point Of View ◽  
Subjective Perception ◽  
Ministry Of Education ◽  
State Institutions ◽  
Financial Interests ◽  
Science And Education ◽  
20Th Anniversary

The essay presents the author's subjective perception of a number of state institutions’ activities regarding their implementation of the directives of the Decree of the President of Ukraine «On the Development of Sociological Science» dated 25.04.2001 for twenty years from the date of its publication. The author's subjective point of view, in particular, is a consequence of the fact that he was a member of the working group on the development of this decree, and the beginning of the 21st century was a time when the Ukrainian society, state, political, public figures, scientists were expecting the decisive development of various spheres of life. However, in fact, these expectations met with latent resistance from shadow structures, the essence of which was to avoid publicly disclosing their intentions through science and education. So, because of the Ministry of Education and Science order No. 642 of July 9, 2009 «On the organization of the study of humanitarian disciplines at the free choice of the student», the active part of youth, namely students was given a very narrowed way of social development understanding; primarily it have happened in technical universities, where the members of executive branch of the power will have been taught en masse. It is when the financial interests are embodied through the implementation of large-scale technical and economic projects, for example, the construction of highways, and not the protection of public health. However, in the leading universities, where sociologists have been taught, the initiative of teachers to show their will to improve the quality of the students’ preparing and evaluation does not subside.

Financial support for universities in the top of Project 5–100 and its impact on the quality of education

2021 ◽  
Vol 23 (2) ◽  
pp. 83-87
Author(s):  
ALEXANDER KVASHIN ◽  
Keyword(s):  
Research And Development ◽  
Financial Management ◽  
Global Market ◽  
Point Of View ◽  
Educational Services ◽  
Ministry Of Education ◽  
Financial Condition ◽  
University Funding ◽  
Russian Universities

Analysis of the main trends in the development of the market for higher education services, affecting the transformation of university financing models, shows that improving the quality of educational services in Russian universities directly depends on an increase in the share of revenues received from research and development, as well as the ability of universities to present the results of their research and development in the form of a complete product from a marketing point of view and build a competent strategy for promoting innovations in the market. In the context of creating a long-term strategy for increasing the competitive advantages of leading universities, the author pays special attention to Project 5–100 of the Ministry of Education and Science of the Russian Federation, the purpose of which is to maximize the competitive position of a group of leading Russian universities in the global market of educational services and research programs. It is noted that university funding comes from various sources, while budgetary revenues dominate the structure of income, and the reduction in budgetary provision significantly affects the financial condition of Russian universities. The author comes to the conclusion that the forms and mechanisms of financial management of universities and research organizations are not strictly regulated, they independently choose the sources of funding.

scholarly journals GROWING OF VIRUS-FREE POTATO SEED TUBERS IN THE AEROPONIC PLANT

2020 ◽  
Vol 17 (35) ◽  
pp. 791-799
Author(s):  
Rafael ISMAGILOV ◽  
Ilgiz ASYLBAEV ◽  
Nuriya URAZBAKHTINA ◽  
Denis ANDRIYANOV ◽  
Firdavis AVSAKHOV
Keyword(s):  
Large Scale ◽  
Viral Infections ◽  
Potato Production ◽  
Poor Quality ◽  
Point Of View ◽  
Potato Seed ◽  
Scale Production ◽  
Planting Material ◽  
Large Scale Production

Throughout the world, potatoes, as a food crop, are very important. One of the main reasons for the poor quality of planting material, yield and potatoes themselves are viral infections. The use of virus-free seed material is one of the high-potential ways to increase the yield and efficiency of potato production. Aeroponics is a promising direction in obtaining a virus-protected crop. This study aimed to assess the potential and improve the technology for growing healthy mini-tubers of potatoes using the aeroponic method, which is a safe and economical method. Compared to the usual method of growing crops, aeroponics assumes lower water and energy costs per unit of production, as well as excludes soil diseases of the plant and does not allow damage to the tuber caused by pests. For growing different varieties of crops in different regions, artificial conditions such as additional lighting in greenhouses can be easily provided. In this study, economic calculations have shown that, from a practical point of view, Aeroponics technology may be appropriate for large-scale production of seed potatoes.

AVAILABILITY OF PRE-SCHOOLING AS AN EDUCATIONAL AND SOCIAL INDICATOR

2019 ◽  
Vol 2 ◽  
pp. 531
Author(s):  
Gediminas Merkys ◽  
Daiva Bubeliene ◽  
Nijole Čiučiulkienė
Keyword(s):  
Social Policy ◽  
Education System ◽  
Large Scale ◽  
Social Indicators ◽  
National Level ◽  
Research Paper ◽  
Point Of View ◽  
Negative Evaluation ◽  
Original Survey

The research paper presents the results of a large-scale longitudinal study which aims to highlight pre-schooling social problems with the help of social indicators. For over a decade, the authors of the research paper have been developing a survey inventory aiming to determine the population’s satisfaction with the public service index. The tool includes 190 original survey indicators that represent all public services. 20 indicators are devoted to education; two of them represent pre-school education. These are: 1) assessment of the quality of pre-school services; and 2) the availability of a child's place in a kindergarten in a residential area (availability). The existing statistical norming base (not older than 2 years) includes 12 municipalities in Lithuania and 88 subdistricts. The total number of respondents is 16202 (n=16202). It has been cleared out that the residents consider the quality of the service "high", but its "availability" is considered to be poor. The statistical regularity found is common to all surveyed municipalities. There is a significant dispersion of measured indicators in separate municipalities and in the subdistricts. Facing the negative evaluation tendency of the “availability“ service some municipalities are more able to handle the problem. For this reason their experience is worth to analyze and to disseminate in a broader way. It is also worth to mention that the results of this study have much in common with EUROSTAT data. In Lithuania, the inclusion of 2-3 years old children in the education system is extremely poor, whereas the inclusion of preschoolers is largely universal. It is possible to state that poor situation of 2-3 years old children inclusion in the Lithuanian education system is related to the problems of Lithuanian social policy. In Lithuania, mother (or father) receives financial benefits for two years after the birth of a child. It is also possible to save one‘s job without receiving a payment for one year more. From the point of view of women's employment and equal opportunities policies, our discovered regularity testifies social policy dysfunctions at the macro national level which, on their turn, indicate a deep-seated demographic crisis in an EU country.  

Residents’ quality of life and visitors’ quality of experience

2017 ◽  
Vol 9 (3) ◽  
pp. 349-360 ◽  
Author(s):  
Leonardo (Don) A.N. Dioko ◽  
Amy S.I. So
Keyword(s):  
Quality Of Life ◽  
Large Scale ◽  
Quality Of Experience ◽  
Time Span ◽  
Point Of View ◽  
Content Type ◽  
Large Scale Survey ◽  
City States ◽  
Full Force

Purpose The purpose of this study is to propose a destination-level framework incorporating subjective and overall assessments of residents’ quality of life (QOL) and visitors’ quality of experience (QOE) as a means for managing optimum levels of visitor volume at destinations. Design The proposed framework is empirically tested and applied using a large-scale survey of residents and visitors across a four-year time span in Macao, a Special Administrative Region of China that counts among the smallest and densest city-states in the world and which has borne the full force of extraordinary rapid tourism growth in recent years. Findings The study’s findings suggest that subjective assessments of residents’ QOL and visitors’ QOE interact and must be considered together when assessing sustainable levels of tourism at the level of a destination. Originality The study’s value lies in its use of a large-scale survey across a four-year time span to empirically validate theorized maximal values of QOL assessments from the point of view of residents as well as quality of visiting experience from the point of view of visitors. This finding lays future groundwork for more robust management of tourism growth in destinations.

scholarly journals DeepSatData: Building large scale datasets of satellite images for training machine learning models

2021 ◽  
Author(s):  
Michael Tarasiou
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Ground Truth ◽  
Semantic Segmentation ◽  
Point Of View ◽  
Learning Models ◽  
Ground Truth Data ◽  
Machine Learning Models ◽  
Sentinel 2

This paper presents DeepSatData a pipeline for automatically generating satellite imagery datasets for training machine learning models. We also discuss design considerations with emphasis on dense classification tasks, e.g. semantic segmentation. The implementation presented makes use of freely available Sentinel-2 data which allows the generation of large scale datasets required for training deep neural networks (DNN). We discuss issues faced from the point of view of DNN training and evaluation such as checking the quality of ground truth data and comment on the scalability of the approach.

scholarly journals Writing in the Twenty-First Century

2020 ◽  
Vol 14 (2) ◽  
pp. 1265-1267
Author(s):  
Cristina Guarneri
Keyword(s):  
Large Scale ◽  
Point Of View ◽  
Traditional Classroom ◽  
First Century ◽  
Educational Goals ◽  
Language Awareness ◽  
Writing Students ◽  
Teaching Point ◽  
Twenty First Century

Writing is one of the most important courses to take within higher education in the twenty-first century, especially when aligning education that will meet individual career goals. According to the Nation's Report Card on Writing, in 2011 alone, only about a quarter of young people can write proficiently. There is a need to institute change to developing and increasing the amount and quality of writing students are expected to produce. There is a need for greater collaboration for student learning by using innovative pedagogies that maintain the complexity and importance of pioneering work while showing that it is, in some cases, negotiable with traditional classroom practices. There are three specific examples: teaching point of view with multicultural studies, incorporating language awareness/critical theory into the composting process, and considering prescriptive suggestions in the workshop. Discussions of large-scale structural change should and will continue, but this article—which reviews how some theorists situate and enact innovation, include narratives of student resistance, and discuss practices that reframe more traditional activities—invites instructors to reflect on recent scholarship and consider larger educational goals for their classrooms.

PRODUCT MANAGEMENT OF RESTAURANT ENTERPRISES

2018 ◽  
Author(s):  
Olha Zviahintseva ◽  
◽  
Svitlana Matviienko ◽  
Inna Nazarenko ◽  
◽  
...  
Keyword(s):  
Consumer Attitudes ◽  
Individual Characteristics ◽  
Restaurant Industry ◽  
Point Of View ◽  
Material Objects ◽  
Subjective Perception ◽  
Product Management ◽  
Provision Of Services ◽  
Local Nature

The article highlights and analyzes the features of restaurant services as components of the commodity management of enterprises in the restaurant industry. In particular, the features of services in a global sense (immateriality, impossibility of storage, inseparability from the source and inconsistency of quality), as well as the special characteristics of the specific services of the restaurant business (indivisibility, intangibility, fragility, heterogeneity, the local nature of the restaurant industry, the presence of material objects in the restaurant services, a differentiated level of quality and cost, heterogeneity in terms of meeting the needs of customers of a restaurant enterprise, customiza- tion, subjective perception by a client depending on individual characteristics, preferences and consumer attitudes, as well as influencing factors, publicity of the provision of services of restaurant enterprises). In the course of the re- search, the definitions of the terms "restaurant industry", "restaurant service" are described and analyzed from the point of view of leading specialists in the field of management of restaurant enterprises, as well as the legislation of Ukraine. To highlight the features of the commodity management of restaurant services, studies of service classifications were carried out and groups of services from various classifications were distinguished. Knowledge and competent consideration of the characteristics of services, as carriers of the characteristics of the group to which they relate, increases the efficiency of commodity management of enterprises providing services, and restaurant enterprises, in partic- ular. The functions of restaurant enterprises are also highlighted: production and service. The components and features of accounting for the level of quality of restaurant services, a full list of services of restaurant enterprises related to the provision of food products to customers of the restaurant business have been determined. The results of such a study make it possible to efficiently spend re- sources, maximize the volume of provision of restaurant services and competently promote them among representatives of target markets of restaurant enterprises.

scholarly journals Methodology for assessing the relative tourist attractiveness of the region

2021 ◽  
Vol 128 ◽  
pp. 01012
Author(s):  
Ekaterina Yakimova ◽  
Anastasiya Rusina ◽  
Olga Karpycheva
Keyword(s):  
Point Of View ◽  
Subjective Perception ◽  
Scientific Discussion ◽  
Regional Tourism ◽  
Expert Assessments ◽  
Objective State ◽  
Relative Form ◽  
The One ◽  
Objective Indicators

Assessment of the tourist attractiveness of a territory is an important analytical area in terms of identifying opportunities for development of regional tourism, as one of the most significant and promising sectors of the economy. This can be the basis for development of appropriate strategic regional programs. The existing scientific discussion in this area has contributed to emergence of a number of methodological approaches that can be used in practice. However, their critical analysis revealed a number of provisions, the improvement of which will make it possible to obtain more objective and relevant results, reflecting the possibility of the destination becoming an object of attraction for tourists. Firstly, the lack of a clear distinction between the categories of “tourist potential”, which reflects the objective state of the resources of the territory, and “tourist attractiveness”, which includes the estimated component of available resources from the perspective of a consumer of tourist services. This leads to the fact that the principle of the subjectivity of the assessment is practically not implemented, thus the possibility of focusing on market demands is not fully used, which implies use of segmentation and positioning tools. Secondly, the results obtained using the methods offered by the scientific community are often distorted by the subjective perception of the researcher, which is associated with use of a large volume of expert assessments. Thirdly, from our point of view, the number of estimated variables, the number of which may approach 100, is not always justified. This, on the one hand, reduces the degree of influence of each of them on the result, and, therefore, the significance, and on the other hand, makes it difficult for the analyst to collect the necessary information. Therefore, the purpose of this study is to develop a methodology that eliminates these disadvantages. The offered author’s development includes objective indicators that do not require involvement of experts in their assessment. The number of these indicators is limited and systematized by groups, in accordance with modern market demands: directly attracting tourists, ensuring the quality of stay and ensuring the availability of the territory. The relative form of the offered metrics shows the degree of difference in the selected variables of some territories in comparison with others, which in the future will make it possible to orient the tourism development in the region to target audiences whose needs can be satisfied by the resources available at the destination.

scholarly journals DeepSatData: Building large scale datasets of satellite images for training machine learning models

2021 ◽  
Author(s):  
Michael Tarasiou
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Ground Truth ◽  
Semantic Segmentation ◽  
Point Of View ◽  
Learning Models ◽  
Ground Truth Data ◽  
Machine Learning Models ◽  
Sentinel 2

This paper presents DeepSatData a pipeline for automatically generating satellite imagery datasets for training machine learning models. We also discuss design considerations with emphasis on dense classification tasks, e.g. semantic segmentation. The implementation presented makes use of freely available Sentinel-2 data which allows the generation of large scale datasets required for training deep neural networks (DNN). We discuss issues faced from the point of view of DNN training and evaluation such as checking the quality of ground truth data and comment on the scalability of the approach.

scholarly journals Automated Detection of Records in Biological Sequence Databases that are Inconsistent with the Literature

2017 ◽  
Author(s):  
Mohamed Reda Bouadjenek ◽  
Karin Verspoor ◽  
Justin Zobel
Keyword(s):  
Quality Indicators ◽  
Large Scale ◽  
Detection Algorithm ◽  
Point Of View ◽  
Biological Sequence ◽  
Data Set ◽  
Pubmed Central ◽  
Data Record ◽  
Sequence Databases

AbstractWe investigate and analyse the data quality of nucleotide sequence databases with the objective of automatic detection of data anomalies and suspicious records. Specifically, we demonstrate that the published literature associated with each data record can be used to automatically evaluate its quality, by cross-checking the consistency of the key content of the database record with the referenced publications. Focusing on GenBank, we describe a set of quality indicators based on the relevance paradigm of information retrieval (IR). Then, we use these quality indicators to train an anomaly detection algorithm to classify records as “confident” or “suspicious”.Our experiments on the PubMed Central collection show assessing the coherence between the literature and database records, through our algorithms, is an effective mechanism for assisting curators to perform data cleansing. Although fewer than 0.25% of the records in our data set are known to be faulty, we would expect that there are many more in GenBank that have not yet been identified. By automated comparison with literature they can be identified with a precision of up to 10% and a recall of up to 30%, while strongly outperforming several baselines. While these results leave substantial room for improvement, they reflect both the very imbalanced nature of the data, and the limited explicitly labelled data that is available. Overall, the obtained results show promise for the development of a new kind of approach to detecting low-quality and suspicious sequence records based on literature analysis and consistency. From a practical point of view, this will greatly help curators in identifying inconsistent records in large-scale sequence databases by highlighting records that are likely to be inconsistent with the literature.

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