scispace - formally typeset
Search or ask a question
Institution

University of Ljubljana

EducationLjubljana, 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.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the Lindblad master equation for an arbitrary quadratic system of n fermions is solved explicitly in terms of diagonalization of a 4n?4n matrix, provided that all bath operators are linear in the fermionic variables.
Abstract: The Lindblad master equation for an arbitrary quadratic system of n fermions is solved explicitly in terms of diagonalization of a 4n?4n matrix, provided that all Lindblad bath operators are linear in the fermionic variables. The method is applied to the explicit construction of non-equilibrium steady states (NESS) and the calculation of asymptotic relaxation rates in the far from equilibrium problem of heat and spin transport in a nearest neighbour Heisenberg XY spin-1/2 chain in a transverse magnetic field.

289 citations

Journal ArticleDOI
TL;DR: The study showed the involvement of muscle- and/or cardiac-specific miRNAs miR-1, mi-133a/b and mi-208 in human MI, supporting the concept of cardiac gene reprogramming in the remodeling of the heart.
Abstract: Objectives: MicroRNAs (miRNAs) are noncoding single-stranded RNA molecules that regulate gene expression in physiological functions, development and disease. In recent studies, three miRNAs have been described as muscle or cardiac specific: miR-1, miR-133, and miR-208, being involved in heart development and disease; but there are limited data on their role in human myocardial infarction (MI). We therefore analyzed their expression in human MI. Methods: Autopsy samples of infarcted heart tissue from 50 patients with MI, 8 healthy trauma victims and 9 fetuses that died in utero were included. miRNAs miR-1, miR-133a/b and miR-208 were analyzed using quantitative real-time polymerase chain reaction. Results:miR-208 was upregulated, whereas miR-1 and miR-133a were downregulated in MI compared to healthy adult and fetal hearts. All four tested miRNAs were downregulated in fetal hearts compared to healthy adult hearts. Conclusions: Our study showed the involvement of muscle- and/or cardiac-specific miRNAs miR-1, miR-133a/b and miR-208 in human MI. The most significant finding was upregulation of miR-208 and downregulation of miR-1 and miR-133a in MI compared to healthy adult hearts. Some patterns of miRNA expression were similar in MI and fetal hearts, supporting the concept of cardiac gene reprogramming in the remodeling of the heart.

289 citations

Journal ArticleDOI
TL;DR: A novel model-based correction method is proposed, based on the assumption that an image corrupted by intensity inhomogeneity contains more information than the corresponding uncorrupted image, which proved to be effective, reliable, and computationally attractive.
Abstract: In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed, based on the assumption that an image corrupted by intensity inhomogeneity contains more information than the corresponding uncorrupted image. The image degradation process is described by a linear model, consisting of a multiplicative and an additive component which are modeled by a combination of smoothly varying basis functions. The degraded image is corrected by the inverse of the image degradation model. The parameters of this model are optimized such that the information of the corrected image is minimized while the global intensity statistic is preserved. The method was quantitatively evaluated and compared to other methods on a number of simulated and real MR images and proved to be effective, reliable, and computationally attractive. The method can be widely applied to different types of MR images because it solely uses the information that is naturally present in an image, without making assumptions on its spatial and intensity distribution. Besides, the method requires no preprocessing, parameter setting, nor user interaction. Consequently, the proposed method may be a valuable tool in MR image analysis.

289 citations

Journal ArticleDOI
TL;DR: This review wishes to highlight the newer aspects of estrogen signaling that exceed its classical endocrine regulatory role, especially emphasizing its tight intertwinement with epigenetic mechanisms.
Abstract: Estrogens have long been known as important regulators of the female reproductive functions; however, our understanding of the role estrogens play in the human body has changed significantly over the past years. It is now commonly accepted that estrogens and androgens have important functions in both female and male physiology and pathology. This is in part due to the local synthesis and action of estrogens that broadens the role of estrogen signaling beyond that of the endocrine system. Furthermore, there are several different mechanisms through which the three estrogen receptors (ERs), ERα, ERβ and G protein-coupled estrogen receptor 1 (GPER1) are able to regulate target gene transcription. ERα and ERβ are mostly associated with the direct and indirect genomic signaling pathways that result in target gene expression. Membrane-bound GPER1 is on the other hand responsible for the rapid non-genomic actions of estrogens that activate various protein-kinase cascades. Estrogen signaling is also tightly connected with another important regulatory entity, i.e. epigenetic mechanisms. Posttranslational histone modifications, microRNAs (miRNAs) and DNA methylation have been shown to influence gene expression of ERs as well as being regulated by estrogen signaling. Moreover, several coregulators of estrogen signaling also exhibit chromatin-modifying activities further underlining the importance of epigenetic mechanisms in estrogen signaling. This review wishes to highlight the newer aspects of estrogen signaling that exceed its classical endocrine regulatory role, especially emphasizing its tight intertwinement with epigenetic mechanisms.

289 citations

Journal ArticleDOI
Georges Aad1, Georges Aad2, Brad Abbott2, Brad Abbott3  +5559 moreInstitutions (188)
TL;DR: In this paper, the performance of the missing transverse momentum reconstruction was evaluated using data collected in pp collisions at a centre-of-mass energy of 7 TeV in 2010.
Abstract: The measurement of missing transverse momentum in the ATLAS detector, described in this paper, makes use of the full event reconstruction and a calibration based on reconstructed physics objects. The performance of the missing transverse momentum reconstruction is evaluated using data collected in pp collisions at a centre-of-mass energy of 7 TeV in 2010. Minimum bias events and events with jets of hadrons are used from data samples corresponding to an integrated luminosity of about 0.3 nb(-1) and 600 nb(-1) respectively, together with events containing a Z boson decaying to two leptons (electrons or muons) or a W boson decaying to a lepton (electron or muon) and a neutrino, from a data sample corresponding to an integrated luminosity of about 36 pb(-1). An estimate of the systematic uncertainty on the missing transverse momentum scale is presented.

288 citations


Authors

Showing all 17388 results

NameH-indexPapersCitations
David Miller2032573204840
Hyun-Chul Kim1764076183227
James M. Tour14385991364
Carmen García139150396925
Bernt Schiele13056870032
Vladimir Cindro129115782000
Teresa Barillari12998478782
Sven Menke129112182034
Horst Oberlack12998580069
Hubert Kroha129112680746
Peter Schacht129103080092
Siegfried Bethke1291266103520
Igor Mandić128106579498
Stefan Kluth128126184534
Andrej Gorišek12895167830
Network Information
Related Institutions (5)
Ghent University
111K papers, 3.7M citations

91% related

National Research Council
76K papers, 2.4M citations

90% related

École Polytechnique Fédérale de Lausanne
98.2K papers, 4.3M citations

90% related

Royal Institute of Technology
68.4K papers, 1.9M citations

90% related

University of Padua
114.8K papers, 3.6M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022331
20213,149
20203,110
20192,780
20182,479