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Institution

Bulgarian Academy of Sciences

GovernmentSofia, Bulgaria
About: Bulgarian Academy of Sciences is a government organization based out in Sofia, Bulgaria. It is known for research contribution in the topics: Catalysis & Coupling constant. The organization has 17989 authors who have published 36276 publications receiving 642820 citations. The organization is also known as: Bulgarian Academy of Sciences,簡稱:BAS & Balgarska Akademiya na Naukite.


Papers
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Journal ArticleDOI
TL;DR: The 143 genera, or subgenera, described so far in the literature are reviewed in order to exclude invalid taxa and obvious junior synonyms, and a suprageneric classification of the whole Chitinozoa group based on diagnostic features and stratigraphic range is given.
Abstract: The successful definition of chitinozoan genera depends primarily on the precision of the criteria used. A standardized morphological terminology based upon details from scanning electron microscope observations of the most representative taxa bearing these characters is therefore proposed. The 143 genera, or subgenera, described so far in the literature are reviewed in order to exclude invalid taxa and obvious junior synonyms. Particular attention is paid to preventing the overlap of generic definitions of the 56 genera ultimately retained. A brief account of the diagnostic features and stratigraphic range of selected genera is given, and basic information concerning the type material of these genera is listed. Finally, a suprageneric classification of the whole Chitinozoa group based on diagnostic features whose hierarchy is established on statistical and evolutionary grounds, is given. One new subfamily, Pogonochitininae, three new genera, Baltochitina, Hyalochitina, and Saharochitina, and a new species Baltochitina nolvaki, are defined. The sub-species Fungochitina fungiformis spinifera is elevated to a specific rank.

127 citations

Journal ArticleDOI
TL;DR: In this paper, the traveling-wave solutions of two classes of equations, namely reaction-diffusion and reaction-telegraph, were obtained by the modified method of simplest equation for the cases when the simplest equation is the equation of Bernoulli or Riccati.

127 citations

Journal ArticleDOI
TL;DR: A method of MUP presentation is suggested that provides accuracy of the MUPs calculated for any distance and size of rectangular electrodes together with considerably reduced computational load and time.

127 citations

Journal ArticleDOI
TL;DR: In this paper, the authors measured the inclusive jet cross section in pp collisions with a center-of-mass energy of 7 TeV at the LHC using the CMS experiment using the data sample corresponds to an integrated luminosity of 34 inverse picobarns.
Abstract: The inclusive jet cross section is measured in pp collisions with a center-of-mass energy of 7 TeV at the LHC using the CMS experiment. The data sample corresponds to an integrated luminosity of 34 inverse picobarns. The measurement is made for jet transverse momenta in the range 18-1100 GeV and for absolute values of rapidity less than 3. The measured cross section extends to the highest values of jet pT ever observed and, within the experimental and theoretical uncertainties, is generally in agreement with next-to-leading-order perturbative QCD predictions.

127 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate how simultaneously recorded long-range power-law correlated multivariate signals cross-correlate and propose a two-component ARFIMA stochastic process and a twocomponent FIARCH process to generate coupled fractal signals.
Abstract: We investigate how simultaneously recorded long-range power-law correlated multivariate signals cross-correlate. To this end we introduce a two-component ARFIMA stochastic process and a two-component FIARCH process to generate coupled fractal signals with long-range power-law correlations which are at the same time long-range cross-correlated. We study how the degree of cross-correlations between these signals depends on the scaling exponents characterizing the fractal correlations in each signal and on the coupling between the signals. Our findings have relevance when studying parallel outputs of multiple component of physical, physiological and social systems.

127 citations


Authors

Showing all 18074 results

NameH-indexPapersCitations
Dimitri Bourilkov134148996884
Eduardo De Moraes Gregores133145492464
Georgi Sultanov132149393318
Plamen Iaydjiev131128587958
Pedro G Mercadante129133186378
Jordan Damgov129119585490
Roumyana Hadjiiska126100373091
Mircho Rodozov12497270519
Cesar Augusto Bernardes12496570889
Viktor Matveev123121273939
Ayda Beddall12081667063
Andrey Marinov11989357183
Mariana Vutova11760656698
Lester Packer11275163116
Patrick Couvreur11167856735
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202345
2022137
20211,323
20201,465
20191,285
20181,248