Institution
Romanian Academy
Archive•Bucharest, 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 published on a yearly basis
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Harvard University1, Max Planck Society2, University of Tübingen3, Hungarian Academy of Sciences4, Howard Hughes Medical Institute5, University College Dublin6, University of Vienna7, University of Coimbra8, University of Ferrara9, University of Adelaide10, University of Cambridge11, Trinity College, Dublin12, Broad Institute13, Emory University14, University of Florence15, Bulgarian Academy of Sciences16, Danube Private University17, Romanian Academy18, Centre national de la recherche scientifique19, Eötvös Loránd University20, Sofia University21, University of Oxford22, University of Wyoming23, University of Zagreb24, Pennsylvania State University25, National Academy of Sciences of Ukraine26, Université de Montréal27, University of Bucharest28, Ludwig Maximilian University of Munich29, University of Edinburgh30, University of Wisconsin-Madison31, University of Palermo32, Croatian Academy of Sciences and Arts33, Naturhistorisches Museum34, Russian Academy of Sciences35, University of Toronto36, University of Latvia37, Durham University38, University of Hull39, Grand Valley State University40, Columbia University41
TL;DR: It is shown that southeastern Europe continued to be a nexus between east and west after the arrival of farmers, with intermittent genetic contact with steppe populations occurring up to 2,000 years earlier than the migrations from the steppe that ultimately replaced much of the population of northern Europe.
Abstract: Farming was first introduced to Europe in the mid-seventh millennium bc, and was associated with migrants from Anatolia who settled in the southeast before spreading throughout Europe. Here, to und ...
447 citations
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TL;DR: The Human Ageing Genomic Resources (HAGR) is presented, a collection of databases and tools for studying the biology and genetics of ageing, highlighting new additions and improvements.
Abstract: In spite of a growing body of research and data, human ageing remains a poorly understood process. Over 10 years ago we developed the Human Ageing Genomic Resources (HAGR), a collection of databases and tools for studying the biology and genetics of ageing. Here, we present HAGR's main functionalities, highlighting new additions and improvements. HAGR consists of six core databases: (i) the GenAge database of ageing-related genes, in turn composed of a dataset of >300 human ageing-related genes and a dataset with >2000 genes associated with ageing or longevity in model organisms; (ii) the AnAge database of animal ageing and longevity, featuring >4000 species; (iii) the GenDR database with >200 genes associated with the life-extending effects of dietary restriction; (iv) the LongevityMap database of human genetic association studies of longevity with >500 entries; (v) the DrugAge database with >400 ageing or longevity-associated drugs or compounds; (vi) the CellAge database with >200 genes associated with cell senescence. All our databases are manually curated by experts and regularly updated to ensure a high quality data. Cross-links across our databases and to external resources help researchers locate and integrate relevant information. HAGR is freely available online (http://genomics.senescence.info/).
420 citations
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TL;DR: The Antarctic Ice Core Chronology 2012 (AICC2012) as discussed by the authors is a new and coherent timescale developed for four Antarctic ice cores, namely Vostok, EPICA Dome C (EDC), EPICA Dronning Maud Land (EDML) and Talos Dome (TALDICE), alongside the Greenlandic NGRIP record.
Abstract: . The deep polar ice cores provide reference records commonly employed in global correlation of past climate events. However, temporal divergences reaching up to several thousand years (ka) exist between ice cores over the last climatic cycle. In this context, we are hereby introducing the Antarctic Ice Core Chronology 2012 (AICC2012), a new and coherent timescale developed for four Antarctic ice cores, namely Vostok, EPICA Dome C (EDC), EPICA Dronning Maud Land (EDML) and Talos Dome (TALDICE), alongside the Greenlandic NGRIP record. The AICC2012 timescale has been constructed using the Bayesian tool Datice (Lemieux-Dudon et al., 2010) that combines glaciological inputs and data constraints, including a wide range of relative and absolute gas and ice stratigraphic markers. We focus here on the last 120 ka, whereas the companion paper by Bazin et al. (2013) focuses on the interval 120–800 ka. Compared to previous timescales, AICC2012 presents an improved timing for the last glacial inception, respecting the glaciological constraints of all analyzed records. Moreover, with the addition of numerous new stratigraphic markers and improved calculation of the lock-in depth (LID) based on δ15N data employed as the Datice background scenario, the AICC2012 presents a slightly improved timing for the bipolar sequence of events over Marine Isotope Stage 3 associated with the seesaw mechanism, with maximum differences of about 600 yr with respect to the previous Datice-derived chronology of Lemieux-Dudon et al. (2010), hereafter denoted LD2010. Our improved scenario confirms the regional differences for the millennial scale variability over the last glacial period: while the EDC isotopic record (events of triangular shape) displays peaks roughly at the same time as the NGRIP abrupt isotopic increases, the EDML isotopic record (events characterized by broader peaks or even extended periods of high isotope values) reached the isotopic maximum several centuries before. It is expected that the future contribution of both other long ice core records and other types of chronological constraints to the Datice tool will lead to further refinements in the ice core chronologies beyond the AICC2012 chronology. For the time being however, we recommend that AICC2012 be used as the preferred chronology for the Vostok, EDC, EDML and TALDICE ice core records, both over the last glacial cycle (this study), and beyond (following Bazin et al., 2013). The ages for NGRIP in AICC2012 are virtually identical to those of GICC05 for the last 60.2 ka, whereas the ages beyond are independent of those in GICC05modelext (as in the construction of AICC2012, the GICC05modelext was included only via the background scenarios and not as age markers). As such, where issues of phasing between Antarctic records included in AICC2012 and NGRIP are involved, the NGRIP ages in AICC2012 should therefore be taken to avoid introducing false offsets. However for issues involving only Greenland ice cores, there is not yet a strong basis to recommend superseding GICC05modelext as the recommended age scale for Greenland ice cores.
418 citations
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01 Jan 1981TL;DR: A bale and grain feeder device includes an elongate conveyor and table structure which is mounted on the mixer-grinder vehicle chassis and cooperates with the conveyor paddles to convey the slabs of hay along the table where the hay or grain is directed to the hammer mill by paddles.
Abstract: The first edition of this book appeared in 1981 as a direct continuation of Lectures of von Neumann Algebras (by S.V. Stratila and L. Zsido) and, until 2003, was the only comprehensive monograph on the subject. Addressing the students of mathematics and physics and researchers interested in operator algebras, noncommutative geometry and free probability, this revised edition covers the fundamentals and latest developments in the field of operator algebras. It discusses the group-measure space construction, Krieger factors, infinite tensor products of factors of type I (ITPFI factors) and construction of the type III_1 hyperfinite factor. It also studies the techniques necessary for continuous and discrete decomposition, duality theory for noncommutative groups, discrete decomposition of Connes, and Ocneanu's result on the actions of amenable groups. It contains a detailed consideration of groups of automorphisms and their spectral theory, and the theory of crossed products.
415 citations
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TL;DR: The fractal and particle analysis provide a relevant methodological framework to further the understanding of the spatial effects of economic pressure on forestry.
Abstract: The ever decreasing area of forests has lead to environmental and economical challenges and has brought with it a renewed interest in developing methodologies that quantify the extent of deforestation and reforestation. In this study we analyzed the deforested areas of the Apuseni Mountains, which has been under economic pressure in recent years and resulted in widespread deforestation as a means of income. Deforested surface dynamics modeling was based on images contained in the Global Forest Database, provided by the Department of Geographical Sciences at Maryland University between 2000 and 2014. The results of the image particle analysis and modelling were based on Total Area (ha), Count of patches and Average Size whereas deforested area distribution was based on the Local Connected Fractal Dimension, Fractal Fragmentation Index and Tug-of-War Lacunarity as indicators of forest fragmentation or heterogeneity. The major findings of the study indicated a reduction of the tree cover area by 3.8%, an increase in fragmentation of 17.7% and an increase in heterogeneity by 29%, while fractal connectivity decreased only by 0.1%. The fractal and particle analysis showed a clustering of forest loss areas with an average increase from 1.1 to 3.0 ha per loss site per year. In conclusion, the fractal and particle analysis provide a relevant methodological framework to further our understanding of the spatial effects of economic pressure on forestry.
407 citations
Authors
Showing all 3740 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cristina Popescu | 74 | 285 | 18434 |
Adrian Covic | 73 | 570 | 17379 |
Gheorghe Paun | 65 | 399 | 18513 |
Floriana Tuna | 60 | 271 | 11968 |
Arto Salomaa | 56 | 374 | 17706 |
Jan A. Bergstra | 55 | 616 | 13436 |
Alexandru T. Balaban | 53 | 605 | 14225 |
Cristian Sminchisescu | 53 | 173 | 12268 |
Maya Simionescu | 47 | 192 | 10608 |
Marius Andruh | 46 | 239 | 8431 |
Werner Scheid | 46 | 518 | 9186 |
Vicenţiu D. Rădulescu | 46 | 360 | 7771 |
Cornelia Vasile | 44 | 297 | 7108 |
Irinel Popescu | 44 | 401 | 8448 |
Mihail Barboiu | 44 | 239 | 5789 |