OPPORTUNITIES FOR THE DEVELOPMENT OF MILITARY TOURISM IN UKRAINE

2018 ◽  
Author(s):  
Mariya Lushchyk ◽  
◽  
Yaroslava Moskvyak ◽  
Keyword(s):  
Young People ◽  
Basic Research ◽  
Military History ◽  
Theoretical Studies ◽  
Scientific Publications ◽  
Military Life ◽  
Historical Reconstructions ◽  
Constant Interest

The constant interest of people in military history, historical battles, battles and other military heritage promotes military tourism. However, despite the presence of a certain array of research and publications on various aspects of the development of this type of tourism, basic research in terms of defining and classifying types of military tourism, the geography of military tourism in Ukraine is not identified. Therefore, theoretical studies of the essence of military tourism, as well as the potential and opportunities for the development of this type of tourism in Ukraine are timely and relevant. To achieve this goal, an analysis of the main theoretical provisions and principles of military tourism, covered in domestic and foreign scientific publications. It is proposed to understand military tourism as one of the types of tourism, which involves visiting historical and modern military sites / institutions / locations, attracting tourists to the realities of modern military life, in safe military events or their historical reconstructions, etc. Among the tasks of military trism, its importance is clarified, first of all, for the patriotic upbringing of young people, especially in modern conditions, when the heroism and love of freedom of ancestors comes to life in Ukrainian soldiers who defend the country from Russian aggression. The main motives of tourists for military travel are described. The typification of the main criteria and principles of classification of military tourism in tourist activity is given. The author's classification of types of military tourism is offered, according to which military-historical, military and military-event types of tourism are distinguished. «Military» places and locations of Ukraine were monitored. This allowed to identify potentially popular for tourists objects: ramparts, fortresses, castles, castles, bastions, forts, defensive monasteries, temples, cathedrals, fortresses, defensive lines, battlefields, battles and military glory, which are associated with feats of national heroes, museums, memorial complexes, monuments dedicated to military themes, dioramas, bunkers, bunkers, DOTs, trenches, remnants of equipment, etc., which can be used in the development of new tourist products of military tourism.

Weed Science in the 1990s: Will It be Forward or in Reverse?

1990 ◽  
Vol 4 (3) ◽  
pp. 671-689 ◽  
Author(s):  
Homer M. Lebaron
Keyword(s):  
Working Group ◽  
New Technology ◽  
Resistance Management ◽  
Basic Research ◽  
American Chemical Society ◽  
Chemical Society ◽  
Research Society ◽  
Plant Management ◽  
Weed Science ◽  
Scientific Publications

Dr. Homer M. LeBaron is Senior Research Fellow in the New Technology and Basic Research Department of CIBA-GEIGY Corporation, where He has the responsibility for coordinating and directing outside basic research on all of CIBA-GEIGY agricultural products. He has been employed in various R&D positions with Geigy and CIBA-GEIGY for 27 years. From 1960 to 1964, Dr. LeBaron was employed as a plant physiologist at the Virginia Tech Experiment Station in Norfolk, Virginia, mainly researching weed problems in vegetables and fruit crops.LeBaron was born May 13, 1926 in Southern Alberta, Canada, the third in a family of 10 children, and grew up on a diversified irrigation farm. He obtained his B.S. and M.S. degrees from Utah State University in 1955 and 1957. He received his Ph.D. degree from Cornell in 1960.LeBaron, in addition to WSSA, is a member of the American Society of Agronomy, American Chemical Society, Entomological Society of America, American Phytopathological Society, CAST, Sigma Xi, Aquatic Plant Management Society, European Weed Research Society, and all of the regional weed science societies.He has held numerous positions in several of these and other scientific societies. Homer served as president of NEWSS in 1969–70 and as president of the SWSS in 1986–87. He served on several WSSA committees, including the Executive Board of Directors. In 1978, Dr. LeBaron was elected a Fellow in the WSSA, and received the Distinguished Service Award in the SWSS in 1984.He is author of over 70 scientific publications, and has been editor and author of five books on herbicide and pesticide resistance and biotechnology. He is currently serving on the parent Herbicide Resistance Action Committee (HRAC) under GIFAP, as well as on the ALS/AHAS Inhibitors Resistance Working Group and as Chairman of the Triazine Resistance Working Group. He is on the Planning Committee and Co-Chair of the Weed Resistance Management Working Group within the International Organization for Pest Resistance Management (IOPRM). In addition to his busy professional schedule, Dr. LeBaron has always been involved in church and community affairs. He has 7 children and 20 grandchildren.

Towards a Sociology of KOS and More Basic KO Research

2020 ◽  
Vol 47 (6) ◽  
pp. 501-510
Author(s):  
Philip Hider
Keyword(s):  
Applied Research ◽  
Information Science ◽  
Basic Research ◽  
Domain Analysis ◽  
Knowledge Organization ◽  
Library And Information Science ◽  
Considerable Potential ◽  
Critical Tradition ◽  
Basic And Applied Research

It is suggested that the knowledge organization (KO) field places greater emphasis on basic research that examines the sociology of KO systems (KOS) and the broader, environmental reasons for the development of both formal and informal KOS. This approach is contrasted with applied KO, which focuses on the practical construction or improvement of specific KOS. The preponderance of applied research in the field of KO is confirmed, at least within the document-centric strand more closely aligned with library and information science, through a survey of articles in the Knowledge Organization journal published between 2009 and 2018. The survey utilized the Frascati Manual definitions for basic and applied research, and referenced Tennis’s classification of KO research (2008). There is considerable potential for building on the critical tradition of KO, with various areas ripe for further sociological investigation. A sociology of KOS could also be accommodated in the popular KO approach of domain analysis.

Topics and Search Based Classification of Scientific Publications

2015 ◽  
Vol 12 (12) ◽  
pp. 5210-5222
Author(s):  
Damien Hanyurwimfura ◽  
Liao Bo ◽  
Chen Xiangtao ◽  
Vincent Havyarimana ◽  
Yan Jiang
Keyword(s):  
Scientific Publications

Theoretical studies in nuclear structure I. Enumeration and classification of the states arising from the filling of the nuclear d -shell

1950 ◽  
Vol 201 (1067) ◽  
pp. 516-544 ◽  
Keyword(s):  
Nuclear Structure ◽  
Short Range ◽  
Dimensional Space ◽  
Theoretical Studies ◽  
Nuclear Forces ◽  
New Classification ◽  
Simple Method

Using a simple method due to Racah, the orbital states arising from the filling of the nuclear d -shell in Russell-Saunders coupling are enumerated and, again following Racah, a new classification of the states introduced according to their transformation properties under the group of rotations in the five-dimensional space of the orbital states of a single d -particle. This new classification acquires significance from the short-range nature of nuclear forces and permits of predictions relating to the order of the levels with attractive forces of short range.

scholarly journals Classification of scientific publications according to library controlled vocabularies

2013 ◽  
Vol 31 (4) ◽  
pp. 725-747 ◽  
Author(s):  
Arash Joorabchi ◽  
Abdulhussain E. Mahdi
Keyword(s):  
Scientific Publications ◽  
Controlled Vocabularies

scholarly journals A Study into Math Document Classification using Deep Learning

2020 ◽  
Author(s):  
Fatimah Alshamari ◽  
Abdou Youssef
Keyword(s):  
Deep Learning ◽  
Classification Performance ◽  
Document Classification ◽  
Design Parameters ◽  
Technological Advancement ◽  
Scientific Publications ◽  
Specific Domain ◽  
Decision Choices ◽  
And Mathematics

Document classification is a fundamental task for many applications, including document annotation, document understanding, and knowledge discovery. This is especially true in STEM fields where the growth rate of scientific publications is exponential, and where the need for document processing and understanding is essential to technological advancement. Classifying a new publication into a specific domain based on the content of the document is an expensive process in terms of cost and time. Therefore, there is a high demand for a reliable document classification system. In this paper, we focus on classification of mathematics documents, which consist of English text and mathematics formulas and symbols. The paper addresses two key questions. The first question is whether math-document classification performance is impacted by math expressions and symbols, either alone or in conjunction with the text contents of documents. Our investigations show that Text-Only embedding produces better classification results. The second question we address is the optimization of a deep learning (DL) model, the LSTM combined with one dimension CNN, for math document classification. We examine the model with several input representations, key design parameters and decision choices, and choices of the best input representation for math documents classification.

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