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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: In this paper, the authors argue that the continued underrepresentation of the low-intensity farmland in Central and Eastern Europe in the international literature and EU policy is impeding the development of sound, evidence-based conservation interventions.
Abstract: A large proportion of European biodiversity today depends on habitat provided by low-intensity farming practices, yet this resource is declining as European agriculture intensifies. Within the European Union, particularly the central and eastern new member states have retained relatively large areas of species-rich farmland, but despite increased investment in nature conservation here in recent years, farmland biodiversity trends appear to be worsening. Although the high biodiversity value of Central and Eastern European farmland has long been reported, the amount of research in the international literature focused on farmland biodiversity in this region remains comparatively tiny, and measures within the EU Common Agricultural Policy are relatively poorly adapted to support it. In this opinion study, we argue that, 10 years after the accession of the first eastern EU new member states, the continued under-representation of the low-intensity farmland in Central and Eastern Europe in the international literature and EU policy is impeding the development of sound, evidence-based conservation interventions. The biodiversity benefits for Europe of existing low-intensity farmland, particularly in the central and eastern states, should be harnessed before they are lost. Instead of waiting for species-rich farmland to further decline, targeted research and monitoring to create locally appropriate conservation strategies for these habitats is needed now.

182 citations

Journal ArticleDOI
TL;DR: In this paper, phase diagrams and the analysis of emerging spatial patterns are used to demonstrate that adaptive punishment promotes public cooperation through the invigoration of spatial reciprocity, the prevention of the emergence of cyclic dominance, or the provision of competitive advantages to those that sanction antisocial behavior.
Abstract: Cooperation is crucial for the remarkable evolutionary success of the human species. Not surprisingly, some individuals are willing to bear additional costs in order to punish defectors. Current models assume that, once set, the fine and cost of punishment do not change over time. Here we show that relaxing this assumption by allowing players to adapt their sanctioning efforts in dependence on the success of cooperation can explain both the spontaneous emergence of punishment and its ability to deter defectors and those unwilling to punish them with globally negligible investments. By means of phase diagrams and the analysis of emerging spatial patterns, we demonstrate that adaptive punishment promotes public cooperation through the invigoration of spatial reciprocity, the prevention of the emergence of cyclic dominance, or the provision of competitive advantages to those that sanction antisocial behavior. The results presented indicate that the process of self-organization significantly elevates the effectiveness of punishment, and they reveal new mechanisms by means of which this fascinating and widespread social behavior could have evolved.

182 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the noise-induced transmission of weak localized rhythmic activity peaks when the pacemaker frequency matches the intrinsic frequency of subthreshold oscillations, which is important for weak signal detection and information propagation across neural networks.

181 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed genetic programming to predict surface roughness in end-milling using two independent data sets obtained on the basis of measurement: training data set and testing data set.

181 citations

Journal ArticleDOI
TL;DR: A concise but comprehensive overview of firefly algorithms that are enhanced with chaotic maps is presented, to describe in detail the advantages and pitfalls of the many different chaotic maps, as well as to outline promising avenues and open problems for future research.

180 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