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Institution

University of Johannesburg

EducationJohannesburg, 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
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Journal ArticleDOI
TL;DR: In this article, the morphological and dynamic properties of fractal-like particles produced from the combustion of wood are studied using a high-resolution scanning electron microscope (SEM).

100 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, J. Abdallah3, A. A. Abdelalim4  +3063 moreInstitutions (195)
TL;DR: In an R-parity conserving minimal supersymmetric scenario, assuming that the scalar bottom quarks decays exclusively into a bottom quark and a neutralino, 95% confidence-level upper limits are obtained in the b(1) - χ(1)(0) mass plane such that for neutralino masses below 60 GeV scalarBottom masses up to 390 GeV are excluded.
Abstract: The results of a search for pair production of the scalar partners of bottom quarks in 2: 05 fb(-1) of pp collisions at root s = 7 TeV using the ATLAS experiment are reported. Scalar bottom quarks ...

100 citations

Journal ArticleDOI
TL;DR: In this paper, multiple-sulfur isotope mass-independent fractionation (S-MIF) is used to provide important constraints on the evolution of the early Earth's atmosphere and its impact on early life.
Abstract: Sulfur isotope mass-independent fractionation (S-MIF) is a unique geologic record of Archean atmospheric chemistry that provides important constraints on the evolution of the early Earth’s atmosphere and its impact on early life. In this contribution, we report multiple-sulfur (33S/32S, 34S/32S, and 36S/32S) isotope ratios of sulfide minerals and carbon (13C/12C) isotope ratios of organic carbon for shale in the ~2.96 to ~2.84 Ga Mozaan Group of the Pongola Supergroup, Southern Africa. The δ13C of organic carbon shows two populations: one with δ13C of ~ −26 ‰ and another with δ13C of −32 ‰. The Δ33S values from nine samples ranges from −0.49 to +0.36 ‰, which is considerably smaller than what was measured for the sulfide and sulfate minerals from other Archean intervals but outside the range of Δ33S values measured for post-2.0 Ga sulfide and sulfate minerals. Moreover, some samples from the Mozaan Group yield Δ36S/Δ33S ratios that are different from Phanerozoic sulfides, suggesting sulfide sulfur from the Mozaan Group carries mass-independent isotope fractionation originated from atmospheric photochemistry. The relatively small Δ33S values for the Mozaan Group may suggest that the atmosphere became slightly oxidized at ~2.9 Ga with oxygen level above 10−5 but below 10−2 times present atmospheric level. This intermediate oxygen level would allow production of S-MIF in atmospheric chemistry but prohibit preservation of large S-MIF signatures in surface deposits. Our hypothesis implies the evolution of oxygenic photosynthesis as early as ~2.9 Ga. Such an ephemeral oxidation event could have triggered the Mozaan-Witwatersrand glaciation by destabilizing an existing methane-rich Archean atmosphere.

100 citations

Proceedings ArticleDOI
01 Aug 2016
TL;DR: This paper investigates the use of trimmed k-means, that is capable of simultaneous clustering of objects and fraud detection in a multivariate setup, to detect fraudulent activity in Bitcoin transactions.
Abstract: The rampant absorption of Bitcoin as a cryptographic currency, along with rising cybercrime activities, warrants utilization of anomaly detection to identify potential fraud. Anomaly detection plays a pivotal role in data mining since most outlying points contain crucial information for further investigation. In the financial world which the Bitcoin network is part of by default, anomaly detection amounts to fraud detection. This paper investigates the use of trimmed k-means, that is capable of simultaneous clustering of objects and fraud detection in a multivariate setup, to detect fraudulent activity in Bitcoin transactions. The proposed approach detects more fraudulent transactions than similar studies or reports on the same dataset.

99 citations

Journal ArticleDOI
Morad Aaboud, Georges Aad1, Brad Abbott2, Ovsat Abdinov3  +2982 moreInstitutions (211)
TL;DR: Searches for new heavy resonances decaying into different pairings of W, Z, or Higgs bosons, as well as dirffiffiffiffiectly into leptons, are presented using a data sample corresponding to 36.1 fb(-1...
Abstract: Searches for new heavy resonances decaying into different pairings of W, Z, or Higgs bosons, as well as dirffiffiffiectly into leptons, are presented using a data sample corresponding to 36.1 fb(-1 ...

99 citations


Authors

Showing all 8414 results

NameH-indexPapersCitations
Vinod Kumar Gupta16571383484
Arnold B. Bakker135506103778
Trevor Vickey12887376664
Ketevi Assamagan12893477061
Diego Casadei12373369665
Michael R. Hamblin11789959533
E. Castaneda-Miranda11754556349
Xiaoming Li113193272445
Katharine Leney10845952547
M. Aurousseau10340344230
Mika Sillanpää96101944260
Sahal Yacoob8940825338
Evangelia Demerouti8523649228
Lehana Thabane8599436620
Sahal Yacoob8439935059
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023196
2022526
20213,152
20202,933
20192,706
20182,150