Institution
University of Johannesburg
Education•Johannesburg, South Africa•
About: University of Johannesburg is a education organization based out in Johannesburg, South Africa. It is known for research contribution in the topics: Population & Context (language use). The organization has 8070 authors who have published 22749 publications receiving 329408 citations. The organization is also known as: UJ.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the physics potential of multi-megaton scale ice or water Cherenkov detectors with low ($sim 1$ GeV) threshold was explored and the significance of the measurements of the neutrino parameters and the dependence of this significance on the accuracy of reconstruction of the Neutrino energy and direction was explored.
Abstract: We explore the physics potential of multi-megaton scale ice or water Cherenkov detectors with low ($\sim 1$ GeV) threshold. Using some proposed characteristics of the PINGU detector setup we compute the distributions of events versus neutrino energy $E_
u$ and zenith angle $\theta_z$, and study their dependence on yet unknown neutrino parameters. The $(E_
u - \theta_z)$ regions are identified where the distributions have the highest sensitivity to the neutrino mass hierarchy, to the deviation of the 2-3 mixing from the maximal one and to the CP-phase. We evaluate significance of the measurements of the neutrino parameters and explore dependence of this significance on the accuracy of reconstruction of the neutrino energy and direction. The effect of degeneracy of the parameters on the sensitivities is also discussed. We estimate the characteristics of future detectors (energy and angle resolution, volume, etc.) required for establishing the neutrino mass hierarchy with high confidence level. We find that the hierarchy can be identified at $3\sigma$ -- $10\sigma$ level (depending on the reconstruction accuracies) after 5 years of PINGU operation.
90 citations
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TL;DR: In this paper, human capital, structural capital, and customer capital are important variables of the whole intellectual capital management program, which forms part of the knowledge management initiatives of institutes of higher learning.
Abstract: Aspects such as human capital, structural capital and customer capital are important variables of the whole intellectual capital management programme, which forms part of the knowledge management initiatives of institutes of higher learning. The skills and expertise of university staff as part of its human capital are discussed. Structural capital will encompass aspects such as the role of innovation and intellectual property rights. Customer capital of the university and the knowledge of stakeholders in the field of tertiary education are becoming more important. The results of a study done at a South African university are used to indicate which of these aspects needs to be measured and a new framework for measurement and management of IC is discussed.
90 citations
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TL;DR: In this article, a burst of international scholarship concerning the reshaping of tourism and the resetting of tourism research agendas has been triggered by COVID-19, and the aim of this paper is to tease out some implication.
Abstract: COVID-19 has triggered a burst of international scholarship concerning the reshaping of tourism and the resetting of tourism research agendas. The aim of this paper is to tease out some implication...
90 citations
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TL;DR: In this article, the authors reported evidence for Hadean and Eoarchean crust from the fringe of the Coorg Block, one of the oldest crustal blocks in Peninsular India.
90 citations
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TL;DR: Wang et al. as discussed by the authors proposed and tested a model that incorporates two competing theories of political trust, institutional trust and cultural trust, to examine community support for red tourism development.
89 citations
Authors
Showing all 8414 results
Name | H-index | Papers | Citations |
---|---|---|---|
Vinod Kumar Gupta | 165 | 713 | 83484 |
Arnold B. Bakker | 135 | 506 | 103778 |
Trevor Vickey | 128 | 873 | 76664 |
Ketevi Assamagan | 128 | 934 | 77061 |
Diego Casadei | 123 | 733 | 69665 |
Michael R. Hamblin | 117 | 899 | 59533 |
E. Castaneda-Miranda | 117 | 545 | 56349 |
Xiaoming Li | 113 | 1932 | 72445 |
Katharine Leney | 108 | 459 | 52547 |
M. Aurousseau | 103 | 403 | 44230 |
Mika Sillanpää | 96 | 1019 | 44260 |
Sahal Yacoob | 89 | 408 | 25338 |
Evangelia Demerouti | 85 | 236 | 49228 |
Lehana Thabane | 85 | 994 | 36620 |
Sahal Yacoob | 84 | 399 | 35059 |