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Institution

Romanian Academy

ArchiveBucharest, Romania
About: Romanian Academy is a archive organization based out in Bucharest, Romania. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 3662 authors who have published 10491 publications receiving 146447 citations. The organization is also known as: Academia Română & Societatea Literară Română.


Papers
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Journal ArticleDOI
TL;DR: In this paper, thermal properties of polypropylene/biomass composites were investigated under dynamic conditions of heating, and the main gaseous products obtained from the thermal degradation were H 2 O, CO 2, CO, formaldehyde, methanol, acetic acid, formic acid, and methane.

91 citations

Journal ArticleDOI
TL;DR: In this paper, an analysis of the mid-infrared WISE sources seen within the equatorial GAMA G12 field, located in the North Galactic Cap, is presented, with the principal science goal of mapping the 3D large scale structures and determining the global physical attributes of the host galaxies.
Abstract: We present an analysis of the mid-infrared WISE sources seen within the equatorial GAMA G12 field, located in the North Galactic Cap. Our motivation is to study and characterize the behavior of WISE source populations in anticipation of the deep multi-wavelength surveys that will define the next decade, with the principal science goal of mapping the 3D large scale structures and determining the global physical attributes of the host galaxies. In combination with cosmological redshifts, we identify galaxies from their WISE W1 (3.4μm) resolved emission, and by performing a star-galaxy separation using apparent magnitude, colors and statistical modeling of star-counts. The resultant galaxy catalog has ≃590,000 sources in 60 deg², reaching a W1 5-σ depth of 31 μJy. At the faint end, where redshifts are not available, we employ a luminosity function analysis to show that approximately 27% of all WISE extragalactic sources to a limit of 17.5 mag (31 uJy) are at high redshift, z > 1. The spatial distribution is investigated using two-point correlation functions and a 3D source density characterization at 5 Mpc and 20 Mpc scales. For angular distributions, we find brighter and more massive sources are strongly clustered relative to fainter and lower mass source; likewise, based on WISE colors, spheroidal galaxies have the strongest clustering, while late-type disk galaxies have the lowest clustering amplitudes. Along the radial direction, the strongest clustering is in the largest redshift shell, while the weakest is in the nearest redshift shell, consistent with the stellar mass and morphological type dependency results. In three dimensions, we find a number of distinct groupings, often bridged by filaments and super-structures. Using special visualization tools, we map these structures, exploring how clustering may play a role with stellar mass and galaxy type.

91 citations

Journal ArticleDOI
TL;DR: In this article, the authors performed automated bulge + disc decomposition on a sample of ~7500 galaxies from the Galaxy And Mass Assembly (GAMA) survey in the redshift range of 0.002
Abstract: We perform automated bulge + disc decomposition on a sample of ~7500 galaxies from the Galaxy And Mass Assembly (GAMA) survey in the redshift range of 0.002

91 citations

Journal ArticleDOI
TL;DR: The most frequent LAB found in Romanian raw milk and fermented dairy products were Lactococcus lactis, Leuconostoc spp.

90 citations

Book ChapterDOI
07 Oct 2012
TL;DR: A unified formulation for boundary detection, with closed-form solution, which is applicable to the localization of different types of boundaries, such as intensity edges and occlusion boundaries from video and RGB-D cameras is proposed.
Abstract: Boundary detection is essential for a variety of computer vision tasks such as segmentation and recognition. We propose a unified formulation for boundary detection, with closed-form solution, which is applicable to the localization of different types of boundaries, such as intensity edges and occlusion boundaries from video and RGB-D cameras. Our algorithm simultaneously combines low- and mid-level image representations, in a single eigenvalue problem, and we solve over an infinite set of putative boundary orientations. Moreover, our method achieves state of the art results at a significantly lower computational cost than current methods. We also propose a novel method for soft-segmentation that can be used in conjunction with our boundary detection algorithm and improve its accuracy at a negligible extra computational cost.

89 citations


Authors

Showing all 3740 results

NameH-indexPapersCitations
Cristina Popescu7428518434
Adrian Covic7357017379
Gheorghe Paun6539918513
Floriana Tuna6027111968
Arto Salomaa5637417706
Jan A. Bergstra5561613436
Alexandru T. Balaban5360514225
Cristian Sminchisescu5317312268
Maya Simionescu4719210608
Marius Andruh462398431
Werner Scheid465189186
Vicenţiu D. Rădulescu463607771
Cornelia Vasile442977108
Irinel Popescu444018448
Mihail Barboiu442395789
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022113
2021672
2020690
2019704
2018630