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Institution

University of South Africa

EducationPretoria, South Africa
About: University of South Africa is a education organization based out in Pretoria, South Africa. It is known for research contribution in the topics: Population & Higher education. The organization has 8478 authors who have published 19960 publications receiving 237688 citations. The organization is also known as: Unisa.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors present an interpretive framework that analyzes the definitional perspectives and the applications of big data and provide a general taxonomy that helps broaden the understanding of Big Data and its role in capturing business value.

997 citations

Journal ArticleDOI
TL;DR: In this article, a review of the fundamental aspects of photocatalysis as a pollution remediation strategy is presented, followed by an introduction to graphitic carbon nitride as a photocatalyst, preparation strategies and its properties, and a comprehensive and critical discussion of the various most recent developments towards enhancing the visible light photocatalytic properties of g-C 3 N 4 for pollution alleviation.
Abstract: Engineering photocatalytic materials for renewable energy generation and environmental decontamination has always been a very exciting prospect to counter the global energy demands and pollution challenges. Graphitic carbon nitride (g-C 3 N 4 ), a polymeric, metal-free semiconductor with a mild band gap (2.7 eV) has become hot-spot in various scientific exploits such as environmental pollution mitigation, energy generation and storage, organic synthesis, sensors, etc. These applications exploit the interesting properties of g-C 3 N 4 such as good visible light absorption, graphene-like structure, good thermal and chemical stability and photocatalytic properties. In this review we begin with an overview of the fundamental aspects of photocatalysis as a pollution remediation strategy. This is followed by an introduction to graphitic carbon nitride as a photocatalyst, preparation strategies and its properties. Subsequently, a comprehensive and critical discussion of the various most recent developments towards enhancing the visible light photocatalytic properties of g-C 3 N 4 for pollution alleviation, selected results and important photocatalytic degradation mechanisms, is given. Summary remarks and future perspective conclude the review.

920 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971-2006 and employed the newly developed autoregressive distributed lag (ARDL)-bounds testing approach.

706 citations

Journal ArticleDOI
TL;DR: The magnitude, contexts of occurrence, and patterns of violence, and refer to traffic-related and other unintentional injuries are reviewed, with a focus on homicide, and violence against women and children.

702 citations

Journal ArticleDOI
Nasim Azani1, Marielle Babineau2, C. Donovan Bailey3, Hannah Banks4, Ariane R. Barbosa5, Rafael Barbosa Pinto6, James S. Boatwright7, Leonardo Maurici Borges8, Gillian K. Brown9, Anne Bruneau2, Elisa Silva Candido6, Domingos Cardoso10, Kuo-Fang Chung11, Ruth Clark4, Adilva de Souza Conceição, Michael D. Crisp12, Paloma Cubas13, Alfonso Delgado-Salinas14, Kyle G. Dexter, Jeff J. Doyle15, Jérôme Duminil16, Ashley N. Egan17, Manuel de la Estrella4, Marcus J. Falcao, Dmitry A. Filatov18, Ana Paula Fortuna-Perez19, Renee Hersilia Fortunato20, Edeline Gagnon2, Peter Gasson4, Juliana Gastaldello Rando21, Ana Maria Goulart de Azevedo Tozzi6, Bee F. Gunn12, David Harris22, Elspeth Haston22, Julie A. Hawkins23, Patrick S. Herendeen, Colin E. Hughes24, João Ricardo Vieira Iganci25, Firouzeh Javadi26, Sheku Alfred Kanu27, Shahrokh Kazempour-Osaloo28, Geoffrey C. Kite4, Bente B. Klitgaard4, Fabio J. Kochanovski6, Erik J. M. Koenen24, Lynsey Kovar3, Matt Lavin29, M. Marianne le Roux30, Gwilym P. Lewis4, Haroldo Cavalcante de Lima, Maria Cristina Lopez-Roberts5, Barbara A. Mackinder22, Vitor Hugo Maia31, Valéry Malécot32, Vidal de Freitas Mansano, Brigitte Marazzi, Sawai Mattapha23, Joseph T. Miller33, Chika Mitsuyuki26, Tania M. Moura34, Daniel J. Murphy4, Madhugiri Nageswara-Rao3, Bruno Nevado18, Danilo M. Neves4, Dario I. Ojeda16, R. Toby Pennington22, Darirn E. Prado35, Gerhard Prenner4, Luciano Paganucci de Queiroz5, Gustavo Ramos10, Fabiana L. Ranzato Filardi, Pétala Gomes Ribeiro5, María de Lourdes Rico-Arce4, Michael J. Sanderson36, Juliana Santos-Silva, Wallace M. B. São-Mateus37, Marcos J. S. Silva38, Marcelo F. Simon39, Carole Sinou2, Cristiane Snak5, Élvia R. de Souza, Janet I. Sprent40, Kelly P. Steele41, Julia E. Steier42, Royce Steeves2, Charles H. Stirton43, Shuichiro Tagane26, Benjamin M. Torke44, Hironori Toyama26, Daiane Trabuco da Cruz5, Mohammad Vatanparast17, Jan J. Wieringa45, Michael Wink46, Martin F. Wojciechowski42, Tetsukazu Yahara26, Ting-Shuang Yi47, Erin Zimmerman2 
01 Feb 2017-Taxon
TL;DR: The classification of the legume family proposed here addresses the long-known non-monophyly of the traditionally recognised subfamily Caesalpinioideae, by recognising six robustly supported monophyletic subfamilies and reflects the phylogenetic structure that is consistently resolved.
Abstract: The classification of the legume family proposed here addresses the long-known non-monophyly of the traditionally recognised subfamily Caesalpinioideae, by recognising six robustly supported monophyletic subfamilies. This new classification uses as its framework the most comprehensive phylogenetic analyses of legumes to date, based on plastid matK gene sequences, and including near-complete sampling of genera (698 of the currently recognised 765 genera) and ca. 20% (3696) of known species. The matK gene region has been the most widely sequenced across the legumes, and in most legume lineages, this gene region is sufficiently variable to yield well-supported clades. This analysis resolves the same major clades as in other phylogenies of whole plastid and nuclear gene sets (with much sparser taxon sampling). Our analysis improves upon previous studies that have used large phylogenies of the Leguminosae for addressing evolutionary questions, because it maximises generic sampling and provides a phylogenetic tree that is based on a fully curated set of sequences that are vouchered and taxonomically validated. The phylogenetic trees obtained and the underlying data are available to browse and download, facilitating subsequent analyses that require evolutionary trees. Here we propose a new community-endorsed classification of the family that reflects the phylogenetic structure that is consistently resolved and recognises six subfamilies in Leguminosae: a recircumscribed Caesalpinioideae DC., Cercidoideae Legume Phylogeny Working Group (stat. nov.), Detarioideae Burmeist., Dialioideae Legume Phylogeny Working Group (stat. nov.), Duparquetioideae Legume Phylogeny Working Group (stat. nov.), and Papilionoideae DC. The traditionally recognised subfamily Mimosoideae is a distinct clade nested within the recircumscribed Caesalpinioideae and is referred to informally as the mimosoid clade pending a forthcoming formal tribal and/or cladebased classification of the new Caesalpinioideae. We provide a key for subfamily identification, descriptions with diagnostic charactertistics for the subfamilies, figures illustrating their floral and fruit diversity, and lists of genera by subfamily. This new classification of Leguminosae represents a consensus view of the international legume systematics community; it invokes both compromise and practicality of use.

697 citations


Authors

Showing all 8743 results

NameH-indexPapersCitations
Alvaro Avezum9327948888
Jordan J. Louviere9335638739
Jürgen Eckert92136842119
Simon Henry Connell8350625147
Elina Hyppönen8125833011
David Wilkinson8063127578
Béla Bollobás7856634767
Richard A. Matzner7231716389
Tim Olds7141221758
Nicolin Govender7141218740
Paul A. Webley7037418633
Dusan Losic7039816550
Alexander Shapiro7025226450
Kerin O'Dea6935916435
Shrikant I. Bangdiwala6835921650
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023128
2022414
20211,835
20201,792
20191,679
20181,369