Institution
University of Maribor
Education•Maribor, 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 published on a yearly basis
Papers
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TL;DR: In this article, a statistical analysis of empirical data from Slovenian companies showed that companies with innovation-strategic orientation are not significantly more successful in many aspects regarding their innovation capability and sustained competitive advantage compared to companies with quality-and cost-strategies.
123 citations
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TL;DR: Mozart's music, by activating task-relevant brain areas, enhances the learning of spatio-temporal rotation tasks and support priming explanation of the Mozart effect.
123 citations
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TL;DR: The preliminary results of experiments after optimizing a test-suite consisting of ten standard functions showed that the proposed firefly algorithms using quaternion’s representation improved the results of the original firefly algorithm.
Abstract: Quaternions are a number system, which extends complex numbers. They are especially useful in areas where fast rotation calculations are needed, e.g., programming video games or controllers of spacecraft. This paper proposes to use quaternion for the representation of individuals in firefly algorithm so as to enhance the performance of the firefly algorithm and to avoid any stagnation. The preliminary results of our experiments after optimizing a test-suite consisting of ten standard functions, showed that the proposed firefly algorithms using quaternion’s representation improved the results of the original firefly algorithm.
123 citations
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TL;DR: An overview of HP enzymatic batch-stirred-tank, continuous-packed-bed, and continuous-membrane reactors is given in this paper, where the authors evaluate the economy of the process.
Abstract: Application of supercritical fluids and liquid gases as an alternative reaction medium for enzyme-catalysed reactions is presented. The factors affecting the enzyme stability in supercritical fluids (effect of water activity, effect of pressure and temperature, number of pressurisation–depressurisation steps) and inhibition of enzymes are well documented with experimental results on hydrolases. An overview of our research on various types of HP enzymatic batch-stirred-tank-, continuous-packed-bed- and continuous-membrane reactors to obtain data on productivity and to evaluate the economy of the process is given.
123 citations
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TL;DR: In this article, the authors reported the observation of a narrow peak in the invariant mass distribution in a sample of exclusive $B\ensuremath{\rightarrow}K{K}_{S}{K}^{\ensure-math{-}}{-ensureMath{\pi}}^{+}$ decays collected with the Belle detector at the KEKB asymmetric k-collider.
Abstract: We report the observation of a narrow peak in the ${K}_{S}{K}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}$ invariant mass distribution in a sample of exclusive $B\ensuremath{\rightarrow}K{K}_{S}{K}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}$ decays collected with the Belle detector at the KEKB asymmetric ${e}^{+}{e}^{\ensuremath{-}}$ collider. The measured mass of the peak is $M=3654\ifmmode\pm\else\textpm\fi{}6(\mathrm{s}\mathrm{t}\mathrm{a}\mathrm{t})\ifmmode\pm\else\textpm\fi{}8(\mathrm{s}\mathrm{y}\mathrm{s}\mathrm{t})\text{ }\text{ }\mathrm{M}\mathrm{e}\mathrm{V}/{c}^{2}$, and we place a 90% confidence level upper limit on the width of $\ensuremath{\Gamma}l55\text{ }\text{ }\mathrm{M}\mathrm{e}\mathrm{V}/{c}^{2}$. The properties agree with heavy-quark potential model expectations for the ${\ensuremath{\eta}}_{c}(2S)$ meson, the $n=2$ singlet $S$ charmonium state.
122 citations
Authors
Showing all 4077 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ignacio E. Grossmann | 112 | 776 | 46185 |
Mirjam Cvetič | 89 | 456 | 27867 |
T. Sumiyoshi | 88 | 855 | 62277 |
M. Bračko | 87 | 738 | 30195 |
Xin-She Yang | 85 | 444 | 61136 |
Matjaž Perc | 84 | 400 | 22115 |
Baowen Li | 83 | 477 | 23080 |
S. Nishida | 82 | 678 | 27709 |
P. Križan | 78 | 749 | 26408 |
S. Korpar | 78 | 615 | 23802 |
Attila Szolnoki | 76 | 231 | 20423 |
H. Kawai | 76 | 477 | 22713 |
John Shawe-Taylor | 72 | 503 | 52369 |
Matjaz Perc | 57 | 148 | 12886 |
Mitja Lainscak | 55 | 287 | 22004 |