scispace - formally typeset
Search or ask a question
Institution

Kazan Federal University

EducationKazan’, Russia
About: Kazan Federal University is a education organization based out in Kazan’, Russia. It is known for research contribution in the topics: Population & Chemistry. The organization has 9868 authors who have published 14390 publications receiving 135726 citations. The organization is also known as: Kazan (Volga region) Federal University & Kazan State University.


Papers
More filters
Journal ArticleDOI
R. Adam1, Peter A. R. Ade2, Nabila Aghanim3, Monique Arnaud4  +304 moreInstitutions (71)
TL;DR: In this article, the authors presented foreground-reduced cosmic microwave background (CMB) maps derived from the full Planck data set in both temperature and polarization, and compared to the corresponding Planck 2013 temperature sky maps, the total data volume is larger by a factor of 3.
Abstract: We present foreground-reduced cosmic microwave background (CMB) maps derived from the full Planck data set in both temperature and polarization. Compared to the corresponding Planck 2013 temperature sky maps, the total data volume is larger by a factor of 3.2 for frequencies between 30 and 70 GHz, and by 1.9 for frequencies between 100 and 857 GHz. In addition, systematic errors in the forms of temperature-to-polarization leakage, analogue-to-digital conversion uncertainties, and very long time constant errors have been dramatically reduced, to the extent that the cosmological polarization signal may now be robustly recovered on angular scales l ≳ 40. On the very largest scales, instrumental systematic residuals are still non-negligible compared to the expected cosmological signal, and modes with l< 20 are accordingly suppressed in the current polarization maps by high-pass filtering. As in 2013, four different CMB component separation algorithms are applied to these observations, providing a measure of stability with respect to algorithmic and modelling choices. The resulting polarization maps have rms instrumental noise ranging between 0.21 and 0.27μK averaged over 55′ pixels, and between 4.5 and 6.1μK averaged over pixels. The cosmological parameters derived from the analysis of temperature power spectra are in agreement at the 1σ level with the Planck 2015 likelihood. Unresolved mismatches between the noise properties of the data and simulations prevent a satisfactory description of the higher-order statistical properties of the polarization maps. Thus, the primary applications of these polarization maps are those that do not require massive simulations for accurate estimation of uncertainties, for instance estimation of cross-spectra and cross-correlations, or stacking analyses. However, the amplitude of primordial non-Gaussianity is consistent with zero within 2σ for all local, equilateral, and orthogonal configurations of the bispectrum, including for polarization E-modes. Moreover, excellent agreement is found regarding the lensing B-mode power spectrum, both internally among the various component separation codes and with the best-fit Planck 2015 Λ cold dark matter model.

266 citations

Journal ArticleDOI
Milan Chytrý1, Stephan M. Hennekens2, Borja Jiménez-Alfaro1, Ilona Knollová1, Jürgen Dengler3, Florian Jansen4, Flavia Landucci1, Joop H.J. Schaminée2, Svetlana Aćić5, Emiliano Agrillo, Didem Ambarlı6, Pierangela Angelini, Iva Apostolova7, Fabio Attorre, Christian Berg8, Erwin Bergmeier9, Idoia Biurrun10, Zoltán Botta-Dukát, Henry Brisse, Juan Antonio Campos10, Luis Carlón, Andraž Čarni11, Laura Casella, János Csiky12, Renata Ćušterevska, Zora Dajić Stevanović5, Jiří Danihelka1, Els De Bie13, Patrice de Ruffray, Michele De Sanctis, W. Bernhard Dickoré, Panayotis Dimopoulos14, Dmytro Dubyna, Tetiana Dziuba, Rasmus Ejrnæs15, Nikolai Ermakov16, Jörg Ewald, Giuliano Fanelli, Federico Fernández-González17, Úna FitzPatrick, Xavier Font18, Itziar García-Mijangos10, Rosario G. Gavilán19, Valentin Golub16, Riccardo Guarino20, Rense Haveman21, Adrian Indreica22, Deniz Işık Gürsoy23, Ute Jandt24, John Janssen2, Martin Jiroušek1, Zygmunt Kącki25, Ali Kavgaci26, Martin Kleikamp, Vitaliy Kolomiychuk27, Mirjana Ćuk28, Daniel Krstonošić29, Anna Kuzemko, Jonathan Lenoir30, Tatiana Lysenko16, Corrado Marcenò1, Corrado Marcenò31, Vassiliy Martynenko16, Dana Michalcová1, Jesper Erenskjold Moeslund15, Viktor Onyshchenko, Hristo Pedashenko7, Aaron Pérez-Haase18, Tomáš Peterka1, Vadim Prokhorov32, Valerijus Rašomavičius, Maria Pilar Rodríguez-Rojo17, John S. Rodwell, Tatiana Rogova32, Eszter Ruprecht33, Solvita Rūsiņa34, Gunnar Seidler24, Jozef Šibík35, Urban Šilc11, Željko Škvorc29, Desislava Sopotlieva7, Zvjezdana Stančić29, Jens-Christian Svenning15, Grzegorz Swacha25, Ioannis Tsiripidis36, Pavel Dan Turtureanu33, Emin Uğurlu23, Domas Uogintas, Milan Valachovič35, Yulia Vashenyak, Kiril Vassilev7, Roberto Venanzoni37, Risto Virtanen38, Lynda Weekes, Wolfgang Willner, Thomas Wohlgemuth, S. M. Yamalov16 
TL;DR: The European Vegetation Archive (EVA) as mentioned in this paper is a database of European vegetation plots developed by the IAVS Working Group Europe Vegetation Survey (WGSVSS) since 2012 and made available for use in research projects in 2014.
Abstract: The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation- plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database.

250 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the most general conditions in the context of modified gravity, in which the matter threading the wormhole throat satisfies all of the energy conditions, and it is the higher order curvature terms, which may be interpreted as a gravitational fluid, that support these nonstandard wormhole geometries.
Abstract: A fundamental ingredient in wormhole physics is the flaring-out condition at the throat which, in classical general relativity, entails the violation of the null energy condition. In this work, we present the most general conditions in the context of modified gravity, in which the matter threading the wormhole throat satisfies all of the energy conditions, and it is the higher order curvature terms, which may be interpreted as a gravitational fluid, that support these nonstandard wormhole geometries. Thus, we explicitly show that wormhole geometries can be theoretically constructed without the presence of exotic matter but are sustained in the context of modified gravity.

247 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated prokaryotic and fungal communities and their co-occurrence networks in four aggregate size classes in upland Ultisol following 27 years of mineral and/or organic fertilizer (rice straw, peanut straw, radish, or pig manure) application.
Abstract: Microbes play pivotal roles in soil organic matter (SOM) turnover: formation and decomposition. Organic fertilizers play crucial role for SOM accumulation, aggregate formation and influence microbial community composition and co-occurrence networks in microhabitats. Here, we investigated prokaryotic and fungal communities and their co-occurrence networks in four aggregate size classes in upland Ultisol following 27 years of mineral and/or organic fertilizer (rice straw, peanut straw, radish, or pig manure) application. Organic fertilizers and aggregate size classes have main and interactive effects on SOM content in aggregates (p 250 μm) than microaggregates (

247 citations

Journal ArticleDOI
TL;DR: Taxonomic and functional analysis shows an increased propensity of the gut microbiota to synthesis of the toxic acetaldehyde, suggesting higher risk of colorectal cancer and other pathologies in alcoholics.
Abstract: Alcohol abuse has deleterious effects on human health by disrupting the functions of many organs and systems. Gut microbiota has been implicated in the pathogenesis of alcohol-related liver diseases, with its composition manifesting expressed dysbiosis in patients suffering from alcoholic dependence. Due to its inherent plasticity, gut microbiota is an important target for prevention and treatment of these diseases. Identification of the impact of alcohol abuse with associated psychiatric symptoms on the gut community structure is confounded by the liver dysfunction. In order to differentiate the effects of these two factors, we conducted a comparative “shotgun” metagenomic survey of 99 patients with the alcohol dependence syndrome represented by two cohorts—with and without liver cirrhosis. The taxonomic and functional composition of the gut microbiota was subjected to a multifactor analysis including comparison with the external control group. Alcoholic dependence and liver cirrhosis were associated with profound shifts in gut community structures and metabolic potential across the patients. The specific effects on species-level community composition were remarkably different between cohorts with and without liver cirrhosis. In both cases, the commensal microbiota was found to be depleted. Alcoholic dependence was inversely associated with the levels of butyrate-producing species from the Clostridiales order, while the cirrhosis—with multiple members of the Bacteroidales order. The opportunist pathogens linked to alcoholic dependence included pro-inflammatory Enterobacteriaceae, while the hallmarks of cirrhosis included an increase of oral microbes in the gut and more frequent occurrence of abnormal community structures. Interestingly, each of the two factors was associated with the expressed enrichment in many Bifidobacterium and Lactobacillus—but the exact set of the species was different between alcoholic dependence and liver cirrhosis. At the level of functional potential, the patients showed different patterns of increase in functions related to alcohol metabolism and virulence factors, as well as pathways related to inflammation. Multiple shifts in the community structure and metabolic potential suggest strong negative influence of alcohol dependence and associated liver dysfunction on gut microbiota. The identified differences in patterns of impact between these two factors are important for planning of personalized treatment and prevention of these pathologies via microbiota modulation. Particularly, the expansion of Bifidobacterium and Lactobacillus suggests that probiotic interventions for patients with alcohol-related disorders using representatives of the same taxa should be considered with caution. Taxonomic and functional analysis shows an increased propensity of the gut microbiota to synthesis of the toxic acetaldehyde, suggesting higher risk of colorectal cancer and other pathologies in alcoholics.

246 citations


Authors

Showing all 10096 results

NameH-indexPapersCitations
Richard G. Pestell13047954210
Alexander Spiridonov126119877296
V. Stolyarov11923879004
Sergei D. Odintsov11260962524
Hans-Uwe Simon9646151698
Yuri Lvov8934227397
Alexei A. Starobinsky8834042331
Yakov Kuzyakov8766737050
V. E. Semenov7437222577
John W. Weisel7332317866
Klaus T. Preissner7233321289
Alexander Tropsha7128822898
Roland Winter6846815193
Christoph Schick6844316664
Marat Gilfanov6235014987
Network Information
Related Institutions (5)
Novosibirsk State University
23K papers, 319.8K citations

91% related

Russian Academy of Sciences
417.5K papers, 4.5M citations

91% related

Moscow State University
123.3K papers, 1.7M citations

90% related

Saint Petersburg State University
53.4K papers, 1.1M citations

89% related

National Research University – Higher School of Economics
23.3K papers, 256.3K citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022267
20211,547
20201,959
20192,021
20181,745