Institution
University of Ljubljana
Education•Ljubljana, Slovenia•
About: University of Ljubljana is a education organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 17210 authors who have published 47013 publications receiving 1082684 citations. The organization is also known as: Univerza v Ljubljani.
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Gyeongsang National University1, University of Tokyo2, University of Tsukuba3, University of Cincinnati4, University of Sydney5, Peking University6, Budker Institute of Nuclear Physics7, Polish Academy of Sciences8, University of Maribor9, National Taiwan University10, National Central University11, Chonnam National University12, Sungkyunkwan University13, Princeton University14, University of Melbourne15, Virginia Tech16, Nagoya University17, Tata Institute of Fundamental Research18, University of Ljubljana19, Osaka University20, Nara Women's University21, École Polytechnique Fédérale de Lausanne22, Tohoku Gakuin University23, Yonsei University24, Korea University25, Chiba University26, Niigata University27, Tokyo Institute of Technology28, Kyungpook National University29, Goethe University Frankfurt30, Seoul National University31, University of Science and Technology of China32, Tokyo Metropolitan University33, Austrian Academy of Sciences34, Osaka City University35, Tokyo University of Agriculture and Technology36, Toho University37, Kanagawa University38, Panjab University, Chandigarh39, Saga University40, National United University41, Tohoku University42
TL;DR: In this paper, the authors presented a method to solve the problem of the EPT problem in PhysRevLett, a journal published on 2010-11-05, modified on 2017-12-10.
Abstract: Reference EPFL-ARTICLE-154584doi:10.1103/PhysRevLett.94.182002View record in Web of Science Record created on 2010-11-05, modified on 2017-12-10
299 citations
TL;DR: It is suggested that judicious selection of different parameters, staining methods along with inter-laboratory validation and harmonisation of methodologies will further help in making this assay more robust and widely acceptable for scientific as well as regulatory studies.
Abstract: The Comet Assay or single cell gel electrophoresis assay is one of the very widely used assays to microscopically detect DNA damage at the level of a single cell. The determination of damage is carried out either through visual scoring of cells (after classification into different categories on the basis of tail length and shape) or by using different commercially available or public domain software (which automatically recognise the extent of damage). In this assay, the shape, size and amount of DNA within the ‘comet’ play important roles in the determination of the level of damage. The use of a software in particular also provides a range of different parameters, many of which might not be relevant in determining the extent of DNA damage. As a large number of factors could influence the shape, size, identification and determination of induced damage, which includes the scoring criteria, staining techniques, selection of parameters (whilst using the software packages) and appearance of ‘hedgehog’ or ‘clouds’, this article aims (a) to provide an overview of evolution of measurements of DNA damage using the Comet Assay and (b) to summarise and critically analyse the advantages and disadvantages of different approaches currently being adopted whilst using this assay. It is suggested that judicious selection of different parameters, staining methods along with inter-laboratory validation and harmonisation of methodologies will further help in making this assay more robust and widely acceptable for scientific as well as regulatory studies.
298 citations
University of Sydney1, University of Tokyo2, Budker Institute of Nuclear Physics3, École Polytechnique Fédérale de Lausanne4, University of Cincinnati5, University of Melbourne6, Polish Academy of Sciences7, University of Maribor8, Fu Jen Catholic University9, National Taiwan University10, National Central University11, Hanyang University12, Yonsei University13, Sungkyunkwan University14, Virginia Tech15, University of Ljubljana16, Korea University17, Nagoya University18, Nara Women's University19, Osaka University20, Tohoku Gakuin University21, Kyungpook National University22, Chiba University23, Niigata University24, Graduate University for Advanced Studies25, Panjab University, Chandigarh26, Seoul National University27, Austrian Academy of Sciences28, Princeton University29, Hiroshima Institute of Technology30, Tokyo University of Agriculture and Technology31, Toho University32, Kanagawa University33, University of Illinois at Urbana–Champaign34, Tokyo Metropolitan University35, Osaka City University36, National United University37, Tohoku University38, University of Science and Technology of China39
TL;DR: In this article, the authors measured the cross section for e{sup +}e{sup -}{yields}{pi}{sup +}{pi {sup -}J/{psi} between 3.8 and 5.5 GeV/c{sup 2} using a 548 fb{sup 1} data sample collected on or near the {upsilon}(4S) resonance with the Belle detector at KEKB.
Abstract: The cross section for e{sup +}e{sup -}{yields}{pi}{sup +}{pi}{sup -}J/{psi} between 3.8 and 5.5 GeV/c{sup 2} is measured using a 548 fb{sup -1} data sample collected on or near the {upsilon}(4S) resonance with the Belle detector at KEKB. A peak near 4.25 GeV/c{sup 2}, corresponding to the so called Y(4260), is observed. In addition, there is another cluster of events at around 4.05 GeV/c{sup 2}. A fit using two interfering Breit-Wigner shapes describes the data better than one that uses only the Y(4260), especially for the lower-mass side of the 4.25 GeV enhancement.
297 citations
TL;DR: In this paper, the rutin content of buckwheat products was compared to the RUTIN content in their raw materials, in order to evaluate their value for producing functional foods.
297 citations
TL;DR: In this paper, a criterion function for a local optimization partitioning procedure for signed digraphs is proposed, which yields those partitions with the smallest number of errors, a measure of the imbalance in the graph and an identification of those links inconsistent with both generalized and structural balance.
297 citations
Authors
Showing all 17388 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| David Miller | 203 | 2573 | 204840 |
| Hyun-Chul Kim | 176 | 4076 | 183227 |
| James M. Tour | 143 | 859 | 91364 |
| Carmen García | 139 | 1503 | 96925 |
| Bernt Schiele | 130 | 568 | 70032 |
| Vladimir Cindro | 129 | 1157 | 82000 |
| Teresa Barillari | 129 | 984 | 78782 |
| Sven Menke | 129 | 1121 | 82034 |
| Horst Oberlack | 129 | 985 | 80069 |
| Hubert Kroha | 129 | 1126 | 80746 |
| Peter Schacht | 129 | 1030 | 80092 |
| Siegfried Bethke | 129 | 1266 | 103520 |
| Igor Mandić | 128 | 1065 | 79498 |
| Stefan Kluth | 128 | 1261 | 84534 |
| Andrej Gorišek | 128 | 951 | 67830 |