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DSpace at KDPU: Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils
<!DOCTYPE html> <html> <head> <title>DSpace at KDPU: Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils</title> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /> <meta name="Generator" content="DSpace 6.3" /> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <link rel="shortcut icon" href="/favicon.ico" type="image/x-icon"/> <link rel="stylesheet" href="/static/css/jquery-ui-1.10.3.custom/redmond/jquery-ui-1.10.3.custom.css" type="text/css" /> <link rel="stylesheet" href="/static/css/bootstrap/bootstrap.min.css" type="text/css" /> <link rel="stylesheet" href="/static/css/bootstrap/bootstrap-theme.min.css" type="text/css" /> <link rel="stylesheet" href="/static/css/bootstrap/dspace-theme.css" type="text/css" /> <link rel="search" type="application/opensearchdescription+xml" href="/open-search/description.xml" title="DSpace"/> <link rel="schema.DCTERMS" href="https://purl.org/dc/terms/" /> <link rel="schema.DC" href="https://purl.org/dc/elements/1.1/" /> <meta name="DC.creator" content="Buyak, Bogdan B." /> <meta name="DC.creator" content="Tsidylo, Ivan M." /> <meta name="DC.creator" content="Repskyi, Victor I." /> <meta name="DC.creator" content="Lyalyuk, Vitaliy P." /> <meta name="DCTERMS.dateAccepted" content="2020-01-01T16:10:08Z" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.available" content="2020-01-01T16:10:08Z" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.issued" content="2018" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.bibliographicCitation" content="Buyak B. B. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils / Bogdan B. Buyak, Ivan M. Tsidylo, Victor I. Repskyi, Vitaliy P. Lyalyuk // Педагогiка вищої та середньої школи. – 2018. – Випуск 51. – C. 147-158. – DOI : 10.31812/pedag.v51i0.3664" xml:lang="uk_UA" /> <meta name="DC.identifier" content="2304-4470" /> <meta name="DC.identifier" content="http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3585" scheme="DCTERMS.URI" /> <meta name="DC.identifier" content="https://doi.org/10.31812/pedag.v51i0.3664" scheme="DCTERMS.URI" /> <meta name="DC.description" content="1. Aidinian, A. R., Tcvetkova, O. L.: Metodika otcenki kachestva
obucheniia studentov vuza s ispolzovaniem neiro-nechetkogo podkhoda
(Methods of estimation of the quality of students’ education with the
use of neuro-fuzzy approach). Programmnye produkty i sistemy. 29 (4),
189–193 (2016).
2. Bekh, I. D.: Stanovlennia profesionala v suchasnykh sotsialnykh
umovakh (Becoming a professional in modern social conditions).
Pedahohika tolerantnosti. 3–4, 157–162 (2001).
3. Beliakov, A. G., Mandel, A. S.: Analiz dostovernosti vyvodov,
formiruemykh s pomoshchiu ekspertno-statisticheskikh sistem (The
analysis of reliability of the conclusions formed with the help of expert
statistical systems). Ros. AN. In-t probl. upr. im. V. A. Trapeznikova,
Moscow (2002).
4. Berezsky, O., Melnyk, G., Batko, Yu.: Modern Trends in Biomedical
Image Analysis System Design. In: Laskovski, A. (ed.) Biomedical
Engineering, Trends in Electronics, Communications and Software,
pp. 461–480. InTech, Rijeka (2011).
5. Dubovoi, V. M., Kovaliuk, O. O.: Modeli pryiniattia rishen v upravlinni
rozpodilenymy dynamichnymy systemamy (Models of decision-making
in the management of distributed dynamic systems). UNIVERSUMVinnytsia, Vinnytsia (2008).
6. Granin, S. S., Mandel, A. S.: Stationary Inventory Control Policies in
Supply Systems under Inflation Condition. Automation and Remote
Control. 77 (8), 1453–1460 (2016).
7. Hlon, O. V., Dubovoi, V. M.: Modeliuvannia system keruvannia
v umovakh nevyznachenosti (Modeling of control systems under
uncertainty). UNIVERSUM-Vinnytsia, Vinnytsia (2004).
8. Iliasov, B. G., Startceva, E. B., Iangurazova, N. R.: Modulnaia
struktura bazy znanii ekspertnoi sistemy “Vybor spetcialnosti pri
postuplenii v vuz” (Modular structure of the knowledge base
of the expert system “The choice of specialty at admission to an institution of higher education”). Neftegazovoe delo. 2.
http://ogbus.ru/authors/Ilyasov/Ilyasov_1.pdf (2006). Accessed 29
Jan 2017.
9. Kirpichnikov, A. P., Liasheva, S. A., Shleimovich, M. P., Leonova,
I. V.: Proektirovanie avtomatizirovannoi sistemy obrabotki dannykh
uspevaemosti studentov na osnove nechetkoi logiki (Designing an
automated system for data processing of students’ progress based
on fuzzy logic). Vestnik Kazanskogo tekhnologicheskogo universiteta.
372–376 (2014).
10. Kruglov, V. V., Dli, M. I., Golunov, R. Iu.: Nechetkaia logika i
iskusstvennye neironnye seti (Fuzzy logic and artificial neural networks).
Izdatelstvo fiziko-matematicheskoi literatury, Moscow (2001).
11. Krushelnytska, Ya. V.: Fiziolohiia i psykholohiia pratsi (Physiology and
psychology of labor). KNEU, Kyiv (2003).
12. Lozovetska, V. T.: Profesiine stanovlennia osobystosti v suchasnykh
umovakh pratsi (Psychological and pedagogical aspects of professional
formation of personality in modern working condition). Naukovyi visnyk
Instytutu profesiino-tekhnichnoi osvity. 5, 20–24 (2013).
13. Luger, G. F.: Artificial Intelligence: Structures and Strategies for
Complex Problem Solving (6th Edition). Pearson, London (2008).
14. Nychkalo, N.: Profesiinyi rozvytok osobystosti u konteksti neperervnosti
(Professional development of the individual in the context of continuity).
In: Kremen, V. H., Dmytrychenko, M. F., Nychkalo, N. H. (eds.)
Kontseptualni zasady profesiinoho rozvytku osobystosti v umovakh
yevrointehratsiinykh protsesiv, pp. 12–23. NTU, Kyiv (2015).
15. Otych, O.: Mystetstvo u profesiinomu rozvytku osobystosti (Art
in the professional development of personality). In: Kremen, V. H.,
Dmytrychenko, M. F., Nychkalo, N. H. (eds.) Kontseptualni zasady
profesiinoho rozvytku osobystosti v umovakh yevrointehratsiinykh
protsesiv, pp. 571–582. NTU, Kyiv (2015).
16. Polishchuk, O. P., Teplytskyi, I. O., Semerikov, S. O.: Profesiina
spriamovanist fundamentalizatsii informatychnoi osvity (Professional
orientation of fundamentalization of informational education). Theory
and methods of learning mathematics, physics, informatics. 11 (3),
122–129 (2013).
17. Shcherbak, O.: Psykholoho-pedahohichni zasady profesiinoho rozvytku
i samorozvytku pedahoha profesiinoho navchannia (Psychological-pedagogical principles of professional development and self-development
of a teacher of professional training). In: Kremen, V. H., Dmytrychenko,
M. F., Nychkalo, N. H. (eds.) Kontseptualni zasady profesiinoho
rozvytku osobystosti v umovakh yevrointehratsiinykh protsesiv, pp. 472–
481. NTU, Kyiv (2015).
18. Shtovba, S. D., Pankevich, O. D., Nagorna, A. V.: Analyzing the criteria
for fuzzy classifier learning. Automatic control and computer sciences.
49 (3), 123–132 (2015). doi: 10.3103/S0146411615030098
19. Shulepov, A. V.: Postroenie ekspertnoi sistemy vybora ratcionalnoi
strategii na rynke truda dlia vypusknika vuza (Constructing an expert
system for selecting a rational strategy in the labor market for a
graduate of the university). Vestnik kibernetiki. 8 (2009).
20. Tcidylo, I. N.: Nechetkaia otcenka rezultatov avtomatizirovannogo
testirovaniia (Fuzzy evaluation of the results of automated testing).
Problemy sovremennoi nauki. 11 (1), 105–114 (2014).
21. Tereshchuk, H. V.: Pedahohichna diahnostyka tsinnisnykh oriientatsii
molodi v protsesi yii sotsialnoho i profesionalnoho stanovlennia
(Pedagogical diagnostics of value orientations of youth in the process
of its social and professional formation). Pedahohika i psykholohiia.
3 (12), 119–124 (1996).
22. Wasserman, Ph. D.: Neural computing: theory and practice. Van
Nostrand Reinhold Co., New York (1989).
23. Zhernakov, S. V.: K voprosu o postroenii gibridnykh neiro-nechetkikh
ekspertnykh sistem diagnostiki i kontrolia GTD (On the construction
of hybrid neuro-fuzzy expert systems for diagnostics and control of
GTE). In: Upravlenie v slozhnykh sistemakh, pp. 119–126. UGATU,
Ufa (1999).
24. Ziaziun, I. A.: Pedahohichnyi profesionalizm u konteksti profesiinoi
svidomosti (Pedagogical professionalism in the context of professional
consciousness). In: Pedahoh profesiinoi shkoly, pp. 8–17. Naukovyi svit,
Kyiv (2001)." /> <meta name="DCTERMS.abstract" content="The article describes the problem of designing a neuro-fuzzy
expert system of professional selection at the stages of conceptualization and
formalization, which involves the definition of concepts, relationships and
management mechanisms necessary to describe the solution of problems in the
chosen subject field. The structural model of the decision making system for
determining the professional selection of students for training in IT specialties
is substantiated. Three subsystems are proposed as structural components
for studying: psychological peculiarities, personal qualities, factual knowledge,
abilities and skills of students. The quality of the system’s operation is
determined by the use of various techniques for acquiring knowledge on
the basis of which the knowledge base of the neuro-fuzzy system and the
combination of the use of fuzzy and stochastic data will be formed." xml:lang="uk_UA" /> <meta name="DC.language" content="en" xml:lang="uk_UA" scheme="DCTERMS.RFC1766" /> <meta name="DC.publisher" content="Видавничий центр Криворiзького державного педагогiчного унiверситету" xml:lang="uk_UA" /> <meta name="DC.subject" content="professional orientation" xml:lang="uk_UA" /> <meta name="DC.subject" content="professional selection" xml:lang="uk_UA" /> <meta name="DC.subject" content="expert system" xml:lang="uk_UA" /> <meta name="DC.subject" content="design" xml:lang="uk_UA" /> <meta name="DC.subject" content="neuro-fuzzy modeling" xml:lang="uk_UA" /> <meta name="DC.subject" content="conceptualization" xml:lang="uk_UA" /> <meta name="DC.subject" content="formalization" xml:lang="uk_UA" /> <meta name="DC.subject" content="structural model" xml:lang="uk_UA" /> <meta name="DC.title" content="Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils" xml:lang="uk_UA" /> <meta name="DC.type" content="Article" xml:lang="uk_UA" /> <meta name="citation_keywords" content="professional orientation; professional selection; expert system; design; neuro-fuzzy modeling; conceptualization; formalization; structural model" /> <meta name="citation_issn" content="2304-4470" /> <script type='text/javascript' src="/static/js/jquery/jquery-1.10.2.min.js"></script> <script type='text/javascript' src='/static/js/jquery/jquery-ui-1.10.3.custom.min.js'></script> <script type='text/javascript' src='/static/js/bootstrap/bootstrap.min.js'></script> <script type='text/javascript' src='/static/js/holder.js'></script> <script type="text/javascript" src="/utils.js"></script> <script type="text/javascript" src="/static/js/choice-support.js"> </script> <!-- HTML5 shim and Respond.js IE8 support of HTML5 elements and media queries --> <!--[if lt IE 9]> <script src="/static/js/html5shiv.js"></script> <script src="/static/js/respond.min.js"></script> <![endif]--> </head> <body class="undernavigation"> <a class="sr-only" href="#content">Skip navigation</a> <header class="navbar navbar-inverse navbar-fixed-top"> <div class="container"> <div class="navbar-header"> <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse"> <span class="icon-bar"></span> <span class="icon-bar"></span> <span class="icon-bar"></span> </button> <a class="navbar-brand" href="/"><img height="25" src="/image/dspace-logo-only.png" alt="DSpace logo" /></a> </div> <nav class="collapse navbar-collapse bs-navbar-collapse" role="navigation"> <ul class="nav navbar-nav"> <li class=""><a href="/"><span class="glyphicon glyphicon-home"></span> Головна сторінка</a></li> <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">Перегляд <b class="caret"></b></a> <ul class="dropdown-menu"> <li><a href="/community-list">Фонди та зібрання</a></li> <li class="divider"></li> <li class="dropdown-header">Перегляд матеріалів за:</li> <li><a href="/browse?type=dateissued">Дати випуску</a></li> <li><a href="/browse?type=author">Автори</a></li> <li><a href="/browse?type=title">Заголовки</a></li> <li><a href="/browse?type=subject">Теми</a></li> </ul> </li> <li class=""><script type="text/javascript"> <!-- Javascript starts here document.write('<a href="#" onClick="var popupwin = window.open(\'/help/index_uk.html\',\'dspacepopup\',\'height=600,width=550,resizable,scrollbars\');popupwin.focus();return false;">Довідка<\/a>'); 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B. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils / Bogdan B. Buyak, Ivan M. Tsidylo, Victor I. Repskyi, Vitaliy P. Lyalyuk // Педагогiка вищої та середньої школи. – 2018. – Випуск 51. – C. 147-158. – DOI : 10.31812/pedag.v51i0.3664</td></tr> <tr><td class="metadataFieldLabel dc_description_abstract">Короткий огляд (реферат): </td><td class="metadataFieldValue dc_description_abstract">The article describes the problem of designing a neuro-fuzzy
expert system of professional selection at the stages of conceptualization and
formalization, which involves the definition of concepts, relationships and
management mechanisms necessary to describe the solution of problems in the
chosen subject field. The structural model of the decision making system for
determining the professional selection of students for training in IT specialties
is substantiated. Three subsystems are proposed as structural components
for studying: psychological peculiarities, personal qualities, factual knowledge,
abilities and skills of students. The quality of the system’s operation is
determined by the use of various techniques for acquiring knowledge on
the basis of which the knowledge base of the neuro-fuzzy system and the
combination of the use of fuzzy and stochastic data will be formed.</td></tr> <tr><td class="metadataFieldLabel dc_description">Опис: </td><td class="metadataFieldValue dc_description">1. Aidinian, A. R., Tcvetkova, O. L.: Metodika otcenki kachestva
obucheniia studentov vuza s ispolzovaniem neiro-nechetkogo podkhoda
(Methods of estimation of the quality of students’ education with the
use of neuro-fuzzy approach). Programmnye produkty i sistemy. 29 (4),
189–193 (2016).
2. Bekh, I. D.: Stanovlennia profesionala v suchasnykh sotsialnykh
umovakh (Becoming a professional in modern social conditions).
Pedahohika tolerantnosti. 3–4, 157–162 (2001).
3. Beliakov, A. G., Mandel, A. S.: Analiz dostovernosti vyvodov,
formiruemykh s pomoshchiu ekspertno-statisticheskikh sistem (The
analysis of reliability of the conclusions formed with the help of expert
statistical systems). Ros. AN. In-t probl. upr. im. V. A. Trapeznikova,
Moscow (2002).
4. Berezsky, O., Melnyk, G., Batko, Yu.: Modern Trends in Biomedical
Image Analysis System Design. In: Laskovski, A. (ed.) Biomedical
Engineering, Trends in Electronics, Communications and Software,
pp. 461–480. InTech, Rijeka (2011).
5. Dubovoi, V. M., Kovaliuk, O. O.: Modeli pryiniattia rishen v upravlinni
rozpodilenymy dynamichnymy systemamy (Models of decision-making
in the management of distributed dynamic systems). UNIVERSUMVinnytsia, Vinnytsia (2008).
6. Granin, S. S., Mandel, A. S.: Stationary Inventory Control Policies in
Supply Systems under Inflation Condition. Automation and Remote
Control. 77 (8), 1453–1460 (2016).
7. Hlon, O. V., Dubovoi, V. M.: Modeliuvannia system keruvannia
v umovakh nevyznachenosti (Modeling of control systems under
uncertainty). UNIVERSUM-Vinnytsia, Vinnytsia (2004).
8. Iliasov, B. G., Startceva, E. B., Iangurazova, N. R.: Modulnaia
struktura bazy znanii ekspertnoi sistemy “Vybor spetcialnosti pri
postuplenii v vuz” (Modular structure of the knowledge base
of the expert system “The choice of specialty at admission to an institution of higher education”). Neftegazovoe delo. 2.
http://ogbus.ru/authors/Ilyasov/Ilyasov_1.pdf (2006). Accessed 29
Jan 2017.
9. Kirpichnikov, A. P., Liasheva, S. A., Shleimovich, M. P., Leonova,
I. V.: Proektirovanie avtomatizirovannoi sistemy obrabotki dannykh
uspevaemosti studentov na osnove nechetkoi logiki (Designing an
automated system for data processing of students’ progress based
on fuzzy logic). Vestnik Kazanskogo tekhnologicheskogo universiteta.
372–376 (2014).
10. Kruglov, V. V., Dli, M. I., Golunov, R. Iu.: Nechetkaia logika i
iskusstvennye neironnye seti (Fuzzy logic and artificial neural networks).
Izdatelstvo fiziko-matematicheskoi literatury, Moscow (2001).
11. Krushelnytska, Ya. V.: Fiziolohiia i psykholohiia pratsi (Physiology and
psychology of labor). KNEU, Kyiv (2003).
12. Lozovetska, V. T.: Profesiine stanovlennia osobystosti v suchasnykh
umovakh pratsi (Psychological and pedagogical aspects of professional
formation of personality in modern working condition). Naukovyi visnyk
Instytutu profesiino-tekhnichnoi osvity. 5, 20–24 (2013).
13. Luger, G. F.: Artificial Intelligence: Structures and Strategies for
Complex Problem Solving (6th Edition). Pearson, London (2008).
14. Nychkalo, N.: Profesiinyi rozvytok osobystosti u konteksti neperervnosti
(Professional development of the individual in the context of continuity).
In: Kremen, V. H., Dmytrychenko, M. F., Nychkalo, N. H. (eds.)
Kontseptualni zasady profesiinoho rozvytku osobystosti v umovakh
yevrointehratsiinykh protsesiv, pp. 12–23. NTU, Kyiv (2015).
15. Otych, O.: Mystetstvo u profesiinomu rozvytku osobystosti (Art
in the professional development of personality). In: Kremen, V. H.,
Dmytrychenko, M. F., Nychkalo, N. H. (eds.) Kontseptualni zasady
profesiinoho rozvytku osobystosti v umovakh yevrointehratsiinykh
protsesiv, pp. 571–582. NTU, Kyiv (2015).
16. Polishchuk, O. P., Teplytskyi, I. O., Semerikov, S. O.: Profesiina
spriamovanist fundamentalizatsii informatychnoi osvity (Professional
orientation of fundamentalization of informational education). Theory
and methods of learning mathematics, physics, informatics. 11 (3),
122–129 (2013).
17. Shcherbak, O.: Psykholoho-pedahohichni zasady profesiinoho rozvytku
i samorozvytku pedahoha profesiinoho navchannia (Psychological-pedagogical principles of professional development and self-development
of a teacher of professional training). In: Kremen, V. H., Dmytrychenko,
M. F., Nychkalo, N. H. (eds.) Kontseptualni zasady profesiinoho
rozvytku osobystosti v umovakh yevrointehratsiinykh protsesiv, pp. 472–
481. NTU, Kyiv (2015).
18. Shtovba, S. D., Pankevich, O. D., Nagorna, A. V.: Analyzing the criteria
for fuzzy classifier learning. Automatic control and computer sciences.
49 (3), 123–132 (2015). doi: 10.3103/S0146411615030098
19. Shulepov, A. V.: Postroenie ekspertnoi sistemy vybora ratcionalnoi
strategii na rynke truda dlia vypusknika vuza (Constructing an expert
system for selecting a rational strategy in the labor market for a
graduate of the university). Vestnik kibernetiki. 8 (2009).
20. Tcidylo, I. N.: Nechetkaia otcenka rezultatov avtomatizirovannogo
testirovaniia (Fuzzy evaluation of the results of automated testing).
Problemy sovremennoi nauki. 11 (1), 105–114 (2014).
21. Tereshchuk, H. V.: Pedahohichna diahnostyka tsinnisnykh oriientatsii
molodi v protsesi yii sotsialnoho i profesionalnoho stanovlennia
(Pedagogical diagnostics of value orientations of youth in the process
of its social and professional formation). Pedahohika i psykholohiia.
3 (12), 119–124 (1996).
22. Wasserman, Ph. D.: Neural computing: theory and practice. Van
Nostrand Reinhold Co., New York (1989).
23. Zhernakov, S. V.: K voprosu o postroenii gibridnykh neiro-nechetkikh
ekspertnykh sistem diagnostiki i kontrolia GTD (On the construction
of hybrid neuro-fuzzy expert systems for diagnostics and control of
GTE). In: Upravlenie v slozhnykh sistemakh, pp. 119–126. UGATU,
Ufa (1999).
24. Ziaziun, I. A.: Pedahohichnyi profesionalizm u konteksti profesiinoi
svidomosti (Pedagogical professionalism in the context of professional
consciousness). In: Pedahoh profesiinoi shkoly, pp. 8–17. Naukovyi svit,
Kyiv (2001).</td></tr> <tr><td class="metadataFieldLabel dc_identifier_uri">URI (Уніфікований ідентифікатор ресурсу): </td><td class="metadataFieldValue dc_identifier_uri"><a href="https://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3585">http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3585</a><br /><a href="https://doi.org/10.31812/pedag.v51i0.3664">https://doi.org/10.31812/pedag.v51i0.3664</a></td></tr> <tr><td class="metadataFieldLabel dc_identifier_issn">ISSN: </td><td class="metadataFieldValue dc_identifier_issn">2304-4470</td></tr> <tr><td class="metadataFieldLabel">Розташовується у зібраннях:</td><td class="metadataFieldValue"><a href="/handle/0564/56">Кафедра інформатики та прикладної математики</a><br/></td></tr> </table><br/> <div class="panel panel-info"><div class="panel-heading">Файли цього матеріалу:</div> <table class="table panel-body"><tr><th id="t1" class="standard">Файл</th> <th id="t2" class="standard">Опис</th> <th id="t3" class="standard">Розмір</th><th id="t4" class="standard">Формат</th><th> </th></tr> <tr><td headers="t1" class="standard break-all"><a target="_blank" href="/bitstream/123456789/3585/1/eddi_2018-147-158.pdf">eddi_2018-147-158.pdf</a></td><td headers="t2" class="standard break-all">Article</td><td headers="t3" class="standard">505.81 kB</td><td headers="t4" class="standard">Adobe PDF</td><td class="standard" align="center"><a class="btn btn-primary" target="_blank" href="/bitstream/123456789/3585/1/eddi_2018-147-158.pdf">Переглянути/Відкрити</a></td></tr></table> </div> <div class="container row"> <a class="btn btn-default" href="/handle/123456789/3585?mode=full"> Показати повний опис матеріалу </a> <a class="statisticsLink btn btn-primary" href="/handle/123456789/3585/statistics">Перегляд статистики</a> </div> <br/> <br/> <p class="submitFormHelp alert alert-info">Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.</p> </div> </main> <footer class="navbar navbar-inverse navbar-bottom"> <div id="designedby" class="container text-muted"> <div id="footer_feedback" class="pull-right"> </div> </div> </footer> </body> </html>