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Institution

Jagiellonian University

EducationKrakow, Poland
About: Jagiellonian University is a education organization based out in Krakow, Poland. It is known for research contribution in the topics: Population & Catalysis. The organization has 17438 authors who have published 44092 publications receiving 862633 citations. The organization is also known as: Academia Cracoviensis & Akademia Krakowska.


Papers
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Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, Ovsat Abdinov4  +2814 moreInstitutions (212)
TL;DR: In this article, the authors describe a model-agnostic search for pairs of jets (dijets) produced by resonant and non-resonant phenomena beyond the Standard Model.

185 citations

Proceedings ArticleDOI
P. Soffitta, R. Bellazzini1, Enrico Bozzo2, Vadim Burwitz  +418 moreInstitutions (132)
TL;DR: The X-ray Imaging Polarimetry Explorer (XIPE) as discussed by the authors is a mission dedicated to Xray Astronomy which is in a competitive phase A as fourth medium size mission of ESA (M4).
Abstract: XIPE, the X-ray Imaging Polarimetry Explorer, is a mission dedicated to X-ray Astronomy. At the time of writing XIPE is in a competitive phase A as fourth medium size mission of ESA (M4). It promises to reopen the polarimetry window in high energy Astrophysics after more than 4 decades thanks to a detector that efficiently exploits the photoelectric effect and to X-ray optics with large effective area. XIPE uniqueness is time-spectrally-spatially- resolved X-ray polarimetry as a breakthrough in high energy astrophysics and fundamental physics. Indeed the payload consists of three Gas Pixel Detectors at the focus of three X-ray optics with a total effective area larger than one XMM mirror but with a low weight. The payload is compatible with the fairing of the Vega launcher. XIPE is designed as an observatory for X-ray astronomers with 75 % of the time dedicated to a Guest Observer competitive program and it is organized as a consortium across Europe with main contributions from Italy, Germany, Spain, United Kingdom, Poland, Sweden.

185 citations

Journal ArticleDOI
01 Oct 2001-Genetics
TL;DR: Estimates of the rate and frequency distribution of deleterious effects were obtained for the first time by direct scoring and characterization of individual mutations by applying tetrad analysis to a large number of yeast clones.
Abstract: Estimates of the rate and frequency distribution of deleterious effects were obtained for the first time by direct scoring and characterization of individual mutations. This was achieved by applying tetrad analysis to a large number of yeast clones. The genomic rate of spontaneous mutation deleterious to a basic fitness-related trait, that of growth rate, was U = 1.1 × 10 −3 per diploid cell division. Extrapolated to the fruit fly and humans, the per generation rate would be 0.074 and 0.92, respectively. This is likely to be an underestimate because single mutations with selection coefficients s s ≥ 0.01 was studied both for spontaneous and induced mutations. The latter were induced by ethyl methanesulfonate (EMS) or resulted from defective mismatch repair. Lethal changes accounted for ~30–40% of the scored mutations. The mean s of nonlethal mutations was fairly high, but most frequently its value was between 0.01 and 0.05. Although the rate and distribution of very small effects could not be determined, the joint share of such mutations in decreasing average fitness was probably no larger than ~1%.

185 citations

Proceedings ArticleDOI
25 Oct 2009
TL;DR: This work provides a full characterization of applicability of The Local Consistency Checking algorithm to solving the non-uniform Constraint Satisfaction Problems and settles the conjecture of Larose and Zadori.
Abstract: We provide a full characterization of applicability of The Local Consistency Checking algorithm to solving the non-uniform Constraint Satisfaction Problems. This settles the conjecture of Larose and Zadori.

185 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined how land-use trends affected net carbon fluxes in western Ukraine and assessed the region's future carbon sequestration potential using satellite-based forest disturbance and farmland abandonment rates from 1988 to 2007.
Abstract: Land use is a critical factor in the global carbon cycle, but land-use effects on carbon fluxes are poorly understood in many regions. One such region is Eastern Europe and the former Soviet Union, where land-use intensity decreased substantially after the collapse of socialism, and farmland abandonment and forest expansion have been widespread. Our goal was to examine how land-use trends affected net carbon fluxes in western Ukraine (57 000 km 2 ) and to assess the region’s future carbon sequestration potential. Using satellite-based forest disturbance and farmland abandonment rates from 1988 to 2007, historic forest resource statistics, and a carbon bookkeeping model, we reconstructed carbon fluxes from land use in the 20th century and assessed potential future carbon fluxes until 2100 for a range of forest expansion and logging scenarios. Our results suggested that the low-point in forest cover occurred in the 1920s. Forest expansion between 1930 and 1970 turned the region from a carbon source to a sink, despite intensive logging during socialism. The collapse of the Soviet Union created a vast, but currently largely untapped carbon sequestration potential (up to � 150 Tg C in our study region). Future forest expansion will likely maintain or even increase the region’s current sink strength of 1.48 Tg C yr � 1 . This may offer substantial opportunities for offsetting industrial

185 citations


Authors

Showing all 17729 results

NameH-indexPapersCitations
Roxana Mehran141137899398
Brad Abbott137156698604
M. Morii1341664102074
M. Franklin134158195304
John Huth131108785341
Wladyslaw Dabrowski12999079728
Rostislav Konoplich12881173790
Michel Vetterli12890176064
Francois Corriveau128102275729
Christoph Falk Anders12673468828
Tomasz Bulik12169886211
Elzbieta Richter-Was11879369127
S. H. Robertson116131158582
S. J. Chen116155962804
David M. Stern10727147461
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023162
2022510
20212,769
20202,776
20192,736
20182,735