Institution
Jagiellonian University
Education•Krakow, 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.
Topics: Population, Catalysis, Large Hadron Collider, Galaxy, European union
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors used the ATLAS detector to detect dijet asymmetry in the collisions of lead ions at the Large Hadron Collider and found that the transverse energies of dijets in opposite hemispheres become systematically more unbalanced with increasing event centrality, leading to a large number of events which contain highly asymmetric di jets.
Abstract: By using the ATLAS detector, observations have been made of a centrality-dependent dijet asymmetry in the collisions of lead ions at the Large Hadron Collider. In a sample of lead-lead events with a per-nucleon center of mass energy of 2.76 TeV, selected with a minimum bias trigger, jets are reconstructed in fine-grained, longitudinally segmented electromagnetic and hadronic calorimeters. The transverse energies of dijets in opposite hemispheres are observed to become systematically more unbalanced with increasing event centrality leading to a large number of events which contain highly asymmetric dijets. This is the first observation of an enhancement of events with such large dijet asymmetries, not observed in proton-proton collisions, which may point to an interpretation in terms of strong jet energy loss in a hot, dense medium.
630 citations
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Jan-Thorsten Gräsner, Rolf Lefering, Rudolph W. Koster, Siobhán Masterson1 +337 more•Institutions (16)
TL;DR: EuReCa ONE very clearly demonstrates marked differences in the processes for data collection and reported outcomes following OHCA all over Europe, which highlights that OHCA is still a major public health problem accounting for a substantial number of deaths in Europe.
626 citations
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TL;DR: In this article, a combination of the inclusive deep inelastic cross sections measured by the H1 and ZEUS Collaborations in neutral and charged current unpolarised e(+/-)p scattering at HERA during the period 1994-2000 is presented.
Abstract: A combination is presented of the inclusive deep inelastic cross sections measured by the H1 and ZEUS Collaborations in neutral and charged current unpolarised e(+/-)p scattering at HERA during the period 1994-2000. The data span six orders of magnitude in negative four-momentum-transfer squared, Q(2), and in Bjorken x. The combination method used takes the correlations of systematic uncertainties into account, resulting in an improved accuracy. The combined data are the sole input in a NLO QCD analysis which determines a new set of parton distributions, HERAPDF1.0, with small experimental uncertainties. This set includes an estimate of the model and parametrisation uncertainties of the fit result.
624 citations
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University of New England (Australia)1, Spanish National Research Council2, National University of Río Negro3, University of Reading4, Plant & Food Research5, Rutgers University6, Commonwealth Scientific and Industrial Research Organisation7, University of Queensland8, Australian Bureau of Agricultural and Resource Economics9, Lund University10, Swedish University of Agricultural Sciences11, University of California, Davis12, Naturalis13, University of Brasília14, University of Lisbon15, National University of Tucumán16, University of Koblenz and Landau17, Federal University of Ceará18, United Nations19, ETH Zurich20, Federal University of Bahia21, University of Giessen22, University of Freiburg23, Wageningen University and Research Centre24, American Museum of Natural History25, Hebrew University of Jerusalem26, University of Bern27, Royal Holloway, University of London28, Trinity College, Dublin29, University of Agriculture, Faisalabad30, Jagiellonian University31, Universidad de las Américas Puebla32
TL;DR: It is shown that non-bee insect pollinators play a significant role in global crop production and respond differently than bees to landscape structure, probably making their crop pollination services more robust to changes in land use.
Abstract: Wild and managed bees are well documented as effective pollinators of global crops of economic importance. However, the contributions by pollinators other than bees have been little explored despite their potential to contribute to crop production and stability in the face of environmental change. Non-bee pollinators include flies, beetles, moths, butterflies, wasps, ants, birds, and bats, among others. Here we focus on non-bee insects and synthesize 39 field studies from five continents that directly measured the crop pollination services provided by non-bees, honey bees, and other bees to compare the relative contributions of these taxa. Non-bees performed 25–50% of the total number of flower visits. Although non-bees were less effective pollinators than bees per flower visit, they made more visits; thus these two factors compensated for each other, resulting in pollination services rendered by non-bees that were similar to those provided by bees. In the subset of studies that measured fruit set, fruit set increased with non-bee insect visits independently of bee visitation rates, indicating that non-bee insects provide a unique benefit that is not provided by bees. We also show that non-bee insects are not as reliant as bees on the presence of remnant natural or seminatural habitat in the surrounding landscape. These results strongly suggest that non-bee insect pollinators play a significant role in global crop production and respond differently than bees to landscape structure, probably making their crop pollination services more robust to changes in land use. Non-bee insects provide a valuable service and provide potential insurance against bee population declines.
620 citations
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TL;DR: To provide relevant solutions for improving public health, healthcare providers are required to be fully equipped with appropriate infrastructure to systematically generate and analyze big data.
Abstract: ‘Big data’ is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. In the healthcare industry, various sources for big data include hospital records, medical records of patients, results of medical examinations, and devices that are a part of internet of things. Biomedical research also generates a significant portion of big data relevant to public healthcare. This data requires proper management and analysis in order to derive meaningful information. Otherwise, seeking solution by analyzing big data quickly becomes comparable to finding a needle in the haystack. There are various challenges associated with each step of handling big data which can only be surpassed by using high-end computing solutions for big data analysis. That is why, to provide relevant solutions for improving public health, healthcare providers are required to be fully equipped with appropriate infrastructure to systematically generate and analyze big data. An efficient management, analysis, and interpretation of big data can change the game by opening new avenues for modern healthcare. That is exactly why various industries, including the healthcare industry, are taking vigorous steps to convert this potential into better services and financial advantages. With a strong integration of biomedical and healthcare data, modern healthcare organizations can possibly revolutionize the medical therapies and personalized medicine.
615 citations
Authors
Showing all 17729 results
Name | H-index | Papers | Citations |
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Roxana Mehran | 141 | 1378 | 99398 |
Brad Abbott | 137 | 1566 | 98604 |
M. Morii | 134 | 1664 | 102074 |
M. Franklin | 134 | 1581 | 95304 |
John Huth | 131 | 1087 | 85341 |
Wladyslaw Dabrowski | 129 | 990 | 79728 |
Rostislav Konoplich | 128 | 811 | 73790 |
Michel Vetterli | 128 | 901 | 76064 |
Francois Corriveau | 128 | 1022 | 75729 |
Christoph Falk Anders | 126 | 734 | 68828 |
Tomasz Bulik | 121 | 698 | 86211 |
Elzbieta Richter-Was | 118 | 793 | 69127 |
S. H. Robertson | 116 | 1311 | 58582 |
S. J. Chen | 116 | 1559 | 62804 |
David M. Stern | 107 | 271 | 47461 |