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Institution

University of Maribor

EducationMaribor, Slovenia
About: University of Maribor is a education organization based out in Maribor, Slovenia. It is known for research contribution in the topics: Population & KEKB. The organization has 3987 authors who have published 13077 publications receiving 258339 citations. The organization is also known as: Univerza v Mariboru.


Papers
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Journal ArticleDOI
TL;DR: A new superstructure for heat exchanger network (HEN) synthesis is proposed based on mixed integer non-linear mathematical programming (MINLP) and four relevant examples are presented to illustrate various aspects of the proposed approach.

109 citations

Journal ArticleDOI
TL;DR: To overcome the perpetual elusiveness of tacit knowledge is presented a framework that could help highlight dimensions of tacitknowledge that can be mobilized and observed through the manifestation of different behaviour.
Abstract: Purpose – The aim of this paper is to investigate the problems of managing tacit knowledge and the importance of unlearning it. As the main problem of managing tacit knowledge lies in the fact that it escapes observation and measurement, an adequate framework that would make some dimensions of tacit knowledge visible has to be developed.Design/methodology/approach – On the basis of literature surveys the authors discuss several types of knowledge and issues related to sharing, learning and, most importantly, unlearning obsolete tacit knowledge dimensions.Findings – To overcome the perpetual elusiveness of tacit knowledge is presented a framework that could help highlight dimensions of tacit knowledge that can be mobilized and observed through the manifestation of different behaviour. It is partly possible to make explicit some dimensions of tacit knowledge that not only contribute to successful sharing and mutual learning, but also enable the identification of those parts of knowledge that hinder innovati...

109 citations

Journal ArticleDOI
TL;DR: Although PCR ribotype 078 is often reported as the major animal C. difficile type, especially in pigs, the variability of strains in pigs and other animal hosts is substantial and most common human PCR ribotypes (014/020 and 002) are also among most prevalent animal associated C.difficile strains worldwide.
Abstract: Clostridium difficile is an important cause of intestinal infections in some animal species and animals might be a reservoir for community associated human infections. Here we describe a collection of animal associated C. difficile strains from 12 countries based on inclusion criteria of one strain (PCR ribotype) per animal species per laboratory. Altogether 112 isolates were collected and distributed into 38 PCR ribotypes with agarose based approach and 50 PCR ribotypes with sequencer based approach. Four PCR ribotypes were most prevalent in terms of number of isolates as well as in terms of number of different host species: 078 (14.3% of isolates; 4 hosts), 014/020 (11.6%; 8 hosts); 002 (5.4%; 4 hosts) and 012 (5.4%; 5 hosts). Two animal hosts were best represented; cattle with 31 isolates (20 PCR ribotypes; 7 countries) and pigs with 31 isolates (16 PCR ribotypes; 10 countries). This results show that although PCR ribotype 078 is often reported as the major animal C. difficile type, especially in pigs, the variability of strains in pigs and other animal hosts is substantial. Most common human PCR ribotypes (014/020 and 002) are also among most prevalent animal associated C. difficile strains worldwide. The widespread dissemination of toxigenic C. difficile and the considerable overlap in strain distribution between species furthers concerns about interspecies, including zoonotic, transmission of this critically important pathogen.

109 citations

Journal ArticleDOI
TL;DR: In this paper, the authors studied the cooperation in evolutionary games on interdependent networks, such that players in one network layer play the snowdrift game (SDG), and the prisoner's dilemma game (PDG) in the other layer.
Abstract: Understanding large-scale cooperation among unrelated individuals is one of the greatest challenges of the 21st century. Since human cooperation evolves on social networks, the theoretical framework of multilayer networks is perfectly suited for studying this fascinating aspect of our biology. To that effect, we here study the cooperation in evolutionary games on interdependent networks, such that players in one network layer play the snowdrift game (SDG), and the prisoner's dilemma game (PDG) in the other layer. Importantly, players are able to share information across two layers, which in turn affects their strategy choices. Monte Carlo simulations reveal that the transfer of information about the strategy of the corresponding player in the other network layer alone is enough to significantly promote the overall level of cooperation. However, while the cooperation is markedly enhanced in the layer where the PDG is played, the opposite is true, albeit to a lesser extent, for the layer where the SDG is played. The net increase in cooperation is thus due to a doubly effect of information sharing. We show further that the more complete the information transfer, the more the overall level of cooperation is promoted, and that this holds as long as the information channels between the player do not vary over time. We discuss potential implications of these findings for future human experiments concerning the cooperation on multilayer networks.

108 citations

Journal ArticleDOI
TL;DR: A novel intelligent planning method for sports training sessions is introduced, where the training plans are generated on digital computers using the bat algorithm according to reliable data obtained from sports watches.

108 citations


Authors

Showing all 4077 results

NameH-indexPapersCitations
Ignacio E. Grossmann11277646185
Mirjam Cvetič8945627867
T. Sumiyoshi8885562277
M. Bračko8773830195
Xin-She Yang8544461136
Matjaž Perc8440022115
Baowen Li8347723080
S. Nishida8267827709
P. Križan7874926408
S. Korpar7861523802
Attila Szolnoki7623120423
H. Kawai7647722713
John Shawe-Taylor7250352369
Matjaz Perc5714812886
Mitja Lainscak5528722004
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202352
2022135
2021809
2020870
2019832
2018756