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.
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TL;DR: In this paper, 2.2-Mercaptobenzoxazole (MBOH) was studied as a corrosion inhibitor for Cu in 3-wt.% NaCl solution using EIS, a potentiodynamic curve, 3D-profilometry, and XPS measurements.
100 citations
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TL;DR: In this paper, a precise measurement of the CP violation parameter sin2 phi(1) and the direct CP violation parameters A(f) using the final data sample of 772 x 10(6) B (B) over bar pairs collected at the gamma(4S) resonance with the Belle detector at the KEKB asymmetric-energy e(+) e(-) collider is presented.
Abstract: We present a precise measurement of the CP violation parameter sin2 phi(1) and the direct CP violation parameter A(f) using the final data sample of 772 x 10(6) B (B) over bar pairs collected at the gamma(4S) resonance with the Belle detector at the KEKB asymmetric-energy e(+) e(-) collider. One neutral B meson is reconstructed in a J/psi K-S(0), psi(2S)K-S(0), chi K-c1(S)0, or J/psi K-L(0) CP eigenstate an(its flavor is identified from the decay products of the accompanying B meson. From the distribution of proper-time intervals between the two B decays, we obtain the following CP violation parameters: sin2 phi(1) 0.667 +/- 0.023(stat) +/- 0.012(syst) and A(f) = 0.006 +/- 0.016(stat) +/- 0.012(syst).
100 citations
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TL;DR: Performances, drawbacks and advantages of different methods of SCFAs analysis in feces are discussed, especially in the light of choosing a proper pretreatment, as feces is a complex biological material.
100 citations
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TL;DR: This work proposes a simple formalization of the relationship between frequency of occurrence and the degree to which memes propagate along the citation graph and validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society.
Abstract: Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and we validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters.
99 citations
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École Polytechnique Fédérale de Lausanne1, University of Tokyo2, University of Sydney3, Panjab University, Chandigarh4, Nara Women's University5, Budker Institute of Nuclear Physics6, Novosibirsk State University7, Polish Academy of Sciences8, National Taiwan University9, National Central University10, Hanyang University11, Yonsei University12, Gyeongsang National University13, Sungkyunkwan University14, Max Planck Society15, University of Cincinnati16, Korea University17, Tohoku Gakuin University18, Kyungpook National University19, Nagoya University20, Tata Institute of Fundamental Research21, University of Melbourne22, Niigata University23, Graduate University for Advanced Studies24, University of Maribor25, University of Ljubljana26, Karlsruhe Institute of Technology27, University of Giessen28, University of Science and Technology of China29, Osaka City University30, Tokyo University of Agriculture and Technology31, Toho University32, Kanagawa University33, Seoul National University34, Virginia Tech35, Austrian Academy of Sciences36, Tokyo Metropolitan University37, National United University38
TL;DR: In this paper, the authors present a study of B→X(3872)K with X( 3872) decaying to D*0D0 using a sample of 657×106 BB pairs recorded at the Υ(4S) resonance with the Belle detector at the KEKB asymmetric-energy e+e- collider.
Abstract: We present a study of B→X(3872)K with X(3872) decaying to D*0D0 using a sample of 657×106 BB pairs recorded at the Υ(4S) resonance with the Belle detector at the KEKB asymmetric-energy e+e- collider. Both D*0→D0γ and D*0→D0π0 decay modes are used. We find a peak of 50.1-11.1+14.8 events with a mass of (3872.9-0.4-0.5+0.6+0.4)MeV/c2, a width of (3.9-1.4-1.1+2.8+0.2)MeV/c2 and a product branching fraction B(B→X(3872)K)×B(X(3872)→D*0D0)=(0. 80±0.20±0.10)×10-4, where the first errors are statistical and the second ones are systematic. The significance of the signal is 6.4σ. The difference between the fitted mass and the D*0D0 threshold is calculated to be (1.1-0.4-0.3+0.6+0.1)MeV/c2. We also obtain an upper limit on the product of branching fractions B(B→Y(3940)K) ×B(Y(3940)→D*0D0) of 0.67×10 -4 at 90% CL. © 2010 The American Physical Society.
99 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 |