305,273 research outputs found

    Green growth in oil producing African countries: a panel data analysis of renewable energy demand

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    Renewable energy has been considered as the solution to the hydra-headed problems of energy security, energy access and climate change, especially in Africa. In addition, renewable energy sources, such as the sun, wind, wave and waste abound in Africa are in need of investment. In order to provide both policy and investment guide, this study investigates the drivers of renewable energy demand in oil-producing African countries. Three panel data models – a random effect model, a fixed effects model and a dynamic panel data model – are used to estimate renewable energy demand with a comprehensive set of determinants. The estimation results indicate that the main drivers of renewable energy in oil-producing African countries are real income per capita, energy resource depletion per capita, carbon emissions per capita and energy prices. The study recommends that policies should encourage the consumption of commercial sources of renewable energy to attract the needed investments

    Concentration of elements in diets from a mining area

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    This data was collected in a toxicovigilance effort to enable the baselining of exposures, risks and nutritional adequacy of elements in diets from the Western regions of Ghana, where gold mining prevalent. The data shows the communities and diet groups for antimony, arsenic, barium, cadmium, cobalt, lead, manganese, mercury, molybdenum, silver, strontium, tin, tungsten, uranium, vanadium, zirconium, calcium, copper, iron, potassium, selenium and zinc. The elemental concentrations in mg/kg were determined using XRF analyzer (Niton XL 3T 900 Model, Thermo Scientific, UK) after the diets were freeze dried

    Analysis of energy efficiency practices of SMEs in rural Ghana: an application of product generational dematerialization method

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    Energy is a key input in industrial production, education and health and is one of the main drivers of economic growth in developing economies. However, expanding energy access in the rural areas is one of the key challenges faced by policy makers in developing countries such as Ghana. In this regard, small- and medium-sized enterprises (SMEs) in developing countries face the hydra-headed challenges of energy access, power outages, access to finance and access to market. In some cases, whilst energy efficiency appears to be improving at the national level, the story at the rural areas is different due to overdependence on biomass and other traditional forms of energy and relatively low access compared to urban areas. This research is structured in three steps. In the first step, the product generational dematerialization method is applied to examine the energy efficiency consumption of electricity and fossil fuels. In a second step, the energy efficiency practices of small and medium scale enterprises are investigated. In a third step, the general unrestricted model (GUM) is employed to investigate the relationship between energy efficiency, productivity and carbon emissions. The key findings of the study (i) confirm that the consumption of energy has not been efficient, (ii) show that the reduction in energy consumption among SMEs can be attributed mostly to blackouts and not efficiency and (iii) productivity is a major driver of energy efficiency. In a nutshell, the national analysis shows that improved productivity from more energy-efficient technologies is not responsible for energy reduction. Rather, an analysis of the rural energy situation shows that blackouts render energy reductions unintentionally. Moreover, energy-efficient practices are observed to be nearly non-existent within rural SMEs. The study recommends that public education on energy efficiency is increased and that new appliances rather than second-hand one are used to save energy

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author, publisher and bookseller : a tripartite synergy in Nigerian book industry

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    This work is about the roles of Author, Publisher and Bookseller in Book development in Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after which it proceeded by defining who an author, a publisher, and a bookseller is and expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in the emerging Information Society. Furthermore, the various constraints to book development were identified while the paper advised on how the Book Industry can be further promoted in Nigeria. However, the paper concluded and made recommendations on how the Book sector can help in enhancing scholarship in the country

    [Report to Chief J. E. Curry, by an unknown author #2]

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    Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney

    [Report to Chief J. E. Curry, by an unknown author #1]

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    Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney

    Mining e-mail content for author identification forensics

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    We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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