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Search Results: 1 - 10 of 6048 matches for " Marina Gritsenko "
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Reflective modular forms in algebraic geometry
Valery Gritsenko
Mathematics , 2010,
Abstract: We prove that the existence of a strongly reflective modular form of a large weight implies that the Kodaira dimension of the corresponding modular variety is negative or, in some special case, it is equal to zero. Using the Jacobi lifting we construct three towers of strongly reflective modular forms with the simplest possible divisor. In particular we obtain a Jacobi lifting construction of the Borcherds-Enriques modular form Phi_4 and Jacobi liftings of automorphic discriminants of the K\"ahler moduli of Del Pezzo surfaces constructed recently by Yoshikawa. We obtain also three modular varieties of dimension 4, 6 and 7 of Kodaira dimension 0.
24 faces of the Borcherds modular form Phi_{12}
Valery Gritsenko
Mathematics , 2012,
Abstract: The fake monster Lie algebra is determined by the Borcherds function Phi_{12} which is the reflective modular form of the minimal possible weight with respect to O(II_{2,26}). We prove that the first non-zero Fourier-Jacobi coefficient of Phi_{12} in any of 23 Niemeier cusps is equal to the Weyl-Kac denominator function of the affine Lie algebra of the root system of the corresponding Niemeier lattice. This is an automorphic answer (in the case of the fake monster Lie algebra) on the old question of I. Frenkel and A. Feingold (1983) about possible relations between hyperbolic Kac-Moody algebras, Siegel modular forms and affine Lie algebras.
Elliptic genus of Calabi-Yau manifolds and Jacobi and Siegel modular forms
V. Gritsenko
Mathematics , 1999,
Abstract: In the paper we study two types of relations: a one is between the elliptic genus of Calabi-Yau manifolds and Jacobi modular forms, another one is between the second quantized elliptic genus, Siegel modular forms and Lorentzian Kac-Moody Lie algebras. We also determine the structure of the graded ring of the weak Jacobi forms with integral Fourier coefficients. It gives us a number of applications to the theory of elliptic genus and of the second quantized elliptic genus.
Complex vector bundles and Jacobi forms
V. Gritsenko
Mathematics , 1999,
Abstract: The elliptic genus (EG) of a compact complex manifold was introduced as a holomorphic Euler characteristic of some formal power series with vector bundle coefficients. EG is an automorphic form in two variables only if the manifold is a Calabi--Yau manifold. In physics such a function appears as the partition function of N=2 superconformal field theories. In these notes we define the modified Witten genus or the automorphic correction of elliptic genus. It is an automorphic function in two variables for an arbitrary holomorphic vector bundle over a compact complex manifold. This paper is an exposition of the talks given by the author at Symposium "Automorphic forms and L-functions" at RIMS, Kyoto (January, 27, 1999) and at Arbeitstagung in Bonn (June, 20, 1999).
A Workflow-Forecast Approach To The Task Scheduling Problem In Distributed Computing Systems
Andrey Gritsenko
Computer Science , 2013,
Abstract: The aim of this paper is to provide a description of deep-learning-based scheduling approach for academic-purpose high-performance computing systems. The share of academic-purpose distributed computing systems (DCS) reaches 17.4 percents amongst TOP500 supercomputer sites (15.6 percents in performance scale) that makes them a valuable object of research. The core of this approach is to predict the future workflow of the system depending on the previously submitted tasks using deep learning algorithm. Information on predicted tasks is used by the resource management system (RMS) to perform efficient schedule.
Systems analysis of multiple regulator perturbations allows discovery of virulence factors in Salmonella
Hyunjin Yoon, Charles Ansong, Jason E McDermott, Marina Gritsenko, Richard D Smith, Fred Heffron, Joshua N Adkins
BMC Systems Biology , 2011, DOI: 10.1186/1752-0509-5-100
Abstract: In this study we present a systems biology approach in which sample-matched multi-omic measurements of fourteen virulence-essential regulator mutants were coupled with computational network analysis to efficiently identify Salmonella virulence factors. Immunoblot experiments verified network-predicted virulence factors and a subset was determined to be secreted into the host cytoplasm, suggesting that they are virulence factors directly interacting with host cellular components. Two of these, SrfN and PagK2, were required for full mouse virulence and were shown to be translocated independent of either of the type III secretion systems in Salmonella or the type III injectisome-related flagellar mechanism.Integrating multi-omic datasets from Salmonella mutants lacking virulence regulators not only identified novel virulence factors but also defined a new class of translocated effectors involved in pathogenesis. The success of this strategy at discovery of known and novel virulence factors suggests that the approach may have applicability for other bacterial pathogens.The interactions between intracellular pathogen and host can be complex involving sophisticated offensive and defensive strategies by both organisms. Developing a systems level understanding of the virulence program of a pathogen, both in terms of the regulatory pathways and the virulence-related proteins that execute this program is important to effectively combat persistent and adapting pathogens [1-3]. Combining high-throughput characterization of proteins and gene transcripts under multiple different conditions relevant to virulence provides a wealth of information that can be mined to provide useful leads for further investigation or used as the basis of predictive models.Salmonella enterica serovar Typhimurium (STM) is a facultative intracellular bacterial pathogen with a broad host range capable of infecting birds, reptiles, mice, humans and other mammals. In humans, it is a leading causative agent
Proteomic Analysis of Saliva in HIV-Positive Heroin Addicts Reveals Proteins Correlated with Cognition
Stephen S. Dominy, Joseph N. Brown, Mark I. Ryder, Marina Gritsenko, Jon M. Jacobs, Richard D. Smith
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0089366
Abstract: The prevalence of HIV-associated neurocognitive disorders (HAND) remains high despite effective antiretroviral therapies. Multiple etiologies have been proposed over the last several years to account for this phenomenon, including the neurotoxic effects of antiretrovirals and co-morbid substance abuse; however, no underlying molecular mechanism has been identified. Emerging evidence in several fields has linked the gut to brain diseases, but the effect of the gut on the brain during HIV infection has not been explored. Saliva is the most accessible gut biofluid, and is therefore of great scientific interest for diagnostic and prognostic purposes. This study presents a longitudinal, liquid chromatography-mass spectrometry-based quantitative proteomics study investigating saliva samples taken from 8 HIV-positive (HIV+), 11 ?negative (HIV?) heroin addicts. In addition, saliva samples were investigated from 11 HIV?, non-heroin addicted healthy controls. In the HIV+ group, 58 proteins were identified that show significant correlations with cognitive scores, implicating disruption of protein quality control pathways by HIV. Notably, only one protein from the HIV? heroin addict cohort showed a significant correlation with cognitive scores, and no proteins correlated with cognitive scores in the healthy control group. In addition, the majority of correlated proteins have been shown to be associated with exosomes, allowing us to propose that the salivary glands and/or oral epithelium may modulate brain function during HIV infection through the release of discrete packets of proteins in the form of exosomes.
The cerebrospinal fluid proteome in HIV infection: change associated with disease severity
Thomas E Angel, Jon M Jacobs, Serena S Spudich, Marina A Gritsenko, Dietmar Fuchs, Teri Liegler, Henrik Zetterberg, David G Camp, Richard W Price, Richard D Smith
Clinical Proteomics , 2012, DOI: 10.1186/1559-0275-9-3
Abstract: After establishing an accurate mass and time (AMT) tag database containing 23,141 AMT tags for CSF peptides, we analyzed 91 CSF samples by LC-MS from 12 HIV-uninfected and 14 HIV-infected subjects studied in the context of initiation of antiretroviral therapy and correlated abundances of identified proteins a) within and between subjects, b) with all other proteins across the entire sample set, and c) with "external" CSF biomarkers of infection (HIV RNA), immune activation (neopterin) and neural injury (neurofilament light chain protein, NFL). We identified a mean of 2,333 +/- 328 (SD) peptides covering 307 +/-16 proteins in the 91 CSF sample set. Protein abundances differed both between and within subjects sampled at different time points and readily separated those with and without HIV infection. Proteins also showed inter-correlations across the sample set that were associated with biologically relevant dynamic processes. One-hundred and fifty proteins showed correlations with the external biomarkers. For example, using a threshold of cross correlation coefficient (Pearson's) ≤ -0.3 and ≥0.3 for potentially meaningful relationships, a total of 99 proteins correlated with CSF neopterin (43 negative and 56 positive correlations) and related principally to neuronal plasticity and survival and to innate immunity. Pathway analysis defined several networks connecting the identified proteins, including one with amyloid precursor protein as a central node.Advanced CSF proteomic analysis enabled the identification of an array of novel protein changes across the spectrum of CNS HIV infection and disease. This initial analysis clearly demonstrated the value of contemporary state-of-the-art proteomic CSF analysis as a discovery tool in HIV infection with likely similar application to other neurological inflammatory and degenerative diseases.While central nervous system (CNS) HIV infection is a nearly universal facet of systemic infection, its course and clinical manifestatio
Prognosis of clinical course of squamous cell carcinoma of the larynx on the basis of establishing tumor’s immu-nohistochemical profile.
Gritsenko P.O.
Морфолог?я , 2007,
Abstract: The work is dedicated to the study of expression of molecular markers in squamous cell carcinomas of the larynx in order to improve the diagnostics and to predict clinical course of the disease. Expression of cytokeratins СК34βЕ12 and СК19, oncoproteins p53 and bcl-2, proliferation index (basing on Ki-67 expression) were studied in tumors of different grades in patients with presence or absence of metastases, recurrent tumor, and different responses to chemoradiotherapy. Each marker’s value in diagnostics and prognosis was studied. Particular immunophenotypes which correspond with tumors of high risk of metastasis development (recurrence, possible sensitivity for chemo- and radiotherapy) were established for each tumor. A panel of markers that can be utilized to predict the possibility of metastases development within the first year after radical treatment (oncoproteins p53 and bcl-2 expression), to predict the response to chemo- (absence of p53) and radiotreatment (absence of bcl-2, high proliferation index) was suggested. Received data allows predicting laryngeal cancer’s clinical course, the possibility of metastases development and possibility of tumor’s recurrence, according to its immunohistochemical profile. This study enables to form clinical groups of patients which require more thorough clinical examination and supervision, more continuous and massive therapy, and also groups of patients, in which organ-saving methods of treatment may be applied.
Ethno-cultural gradient: regional identity and historical memory in the neighboring regions of Russia and Ukraine Этнокультурный градиент: региональная идентичность и историческая память в соседних районах России и Украины
Anton Gritsenko,Mikhail Krylov
Cultural Geography & Geohumanities , 2012,
Abstract: The article reveals the peculiarities of regional identities in the border regions of Russia and Ukraine and their connections to ethnic and cultural landscapes, historical memories. The methods and the results of field research in 2012 are described. A spatial model of historical and cultural interconnections (“ethno-cultural gradient”) is given in details. The article is illustrated by the maps of “ethno-cultural gradient” in Russian-Ukrainian borderland and Sumy and Kursk mental regions. В статье исследуются особенности региональной идентичности населения в соседних районах России и Украины в связи с этнокультурным ландшафтом, исторической памятью. Представлены методика и некоторые результаты полевых исследований 2012 года. Детально разработана пространственная модель исторической и культурной интерференции – градиент . Построены карты российско-украинского этнокультурного градиента и Сумского и Курского ментальных регионов.
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