Institution
University of Nigeria, Nsukka
Education•Nsukka, Nigeria•
About: University of Nigeria, Nsukka is a education organization based out in Nsukka, Nigeria. It is known for research contribution in the topics: Population & Health care. The organization has 10211 authors who have published 13685 publications receiving 138922 citations.
Topics: Population, Health care, Medicine, Public health, Pregnancy
Papers published on a yearly basis
Papers
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TL;DR: Booth as discussed by the authors reviewed the zoogeography of West African primates and followed Rosevear in placing the Cross River as the western boundary to the range of three Central African lorisoids: angwantibo, Arctocebus calabarensis (Smith), Allen's bushbaby, Galago alleni Waterhouse, and needle-clawed bushbaby.
Abstract: IN 1958 Booth1 reviewed the zoogeography of West African primates and followed Rosevear2 in placing the Cross River as the western boundary to the range of three Central African lorisoids. These were the angwantibo, Arctocebus calabarensis (Smith), Allen's bushbaby, Galago alleni Waterhouse, and the needle-clawed bushbaby, Euoticus elegantulus (Le Conte). Schwarz3,4 and Hill5 had previously speculated on the Niger as the western boundary, but Rosevear's knowledge of this particular area has given much weight to the theory of the Cross River as a faunal barrier. Apparently unknown to Booth, however, angwantibos had been recorded before 1958 (refs. 6 and 7) from Owerri, Umuahia and Aba, which lie far to the west of the Cross River, and Rosevear himself8 had recorded the animal in a collection brought to him from the Mamu Forest Reserve (see Fig. 1). Through field work in Elastern Nigeria* we have been able to produce new and positive evidence on the distribution of the angwantibo and the bushbabies.
54 citations
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TL;DR: The status, progress and challenges of phytoremediation in selected African countries are reviewed, the ecological impact of the pollutants, phytormediation strategies and the possible plants of choice are discussed, and the fate of harvested biomass/dieback and its future prospects are discussed.
54 citations
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TL;DR: This paper proposes to combine two supervised machine learning techniques, namely, regression model and multilayer artificial neural network model, to predict the RUL of an operational wind turbine gearbox using vibration measurements.
Abstract: Deployment of large-scale wind turbines requires sophisticated operation and maintenance strategies to ensure the devices are safe, profitable and cost-effective. Prognostics aims to predict the remaining useful life (RUL) of physical systems based on condition measurements. Analyzing condition monitoring data, implementing diagnostic techniques and using machinery prognostic algorithms will bring about accurate estimation of the remaining life and possible failures that may occur. This paper proposes to combine two supervised machine learning techniques, namely, regression model and multilayer artificial neural network model, to predict the RUL of an operational wind turbine gearbox using vibration measurements. Root Mean Square (RMS), Kurtosis (KU) and Energy Index (EI) were analysed to define the bearing failure stages. The proposed methodology was evaluated through a case study involving vibration measurements of a high-speed shaft bearing used in a wind turbine gearbox.
54 citations
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TL;DR: In this paper, the authors highlight the importance of solid waste management in public health service and highlight the impact of public health emergencies such as the Covi crisis on the public health services.
Abstract: Solid waste management (SWM) is a public health service whose importance is often understated When the solid waste management challenge is exacerbated by a public health emergency such as the Covi
54 citations
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TL;DR: The genetic basis of IOP is investigated in a sample of West Africans with type 2 diabetes from Ghana and Nigeria and provides additional evidence that chromosome 5 contains susceptibility loci for glaucoma in multiple human populations.
Abstract: Purpose High intraocular pressure (IOP) is a major risk factor for glaucoma, one of the leading causes of blindness worldwide. Because it has been demonstrated that African populations are at increased risk for glaucoma, the authors investigated the genetic basis of IOP in a sample of West Africans with type 2 diabetes (T2D) from Ghana and Nigeria. Methods Genomewide linkage analysis was conducted for loci linked to IOP (measured by applanation tonometry) in 244 affected sibling pairs with T2D using 372 autosomal short-tandem repeat markers at an average spacing of 9 cM. Results Multipoint variance components linkage analyses revealed suggestive linkage on chromosome 5 (5q22) with a logarithm of odds (LOD) score of 2.50 (nominal P = 0.0003; empiric P = 0.0004) and on chromosome 14 (14q22) with an LOD score of 2.95 (nominal P = 0.0001; empiric P = 0.0003). Fine mapping at a marker density of 2 cM in the 5q region confirmed the linkage signal, with an increase in peak LOD score to 4.91. Conclusions The strong signal on chromosome 5 lies in the region in which a novel gene, WDR36, in the GLC1G locus was recently identified as causative for adult-onset primary open-angle glaucoma and provides additional evidence that chromosome 5 contains susceptibility loci for glaucoma in multiple human populations. The evidence provided in this study is particularly important given the evolutionary history of these West African populations and the recent ancestral relationship to African Americans-a population with one of the highest rates of diabetes and associated complications (including glaucoma) in the world.
54 citations
Authors
Showing all 10333 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kamyar Kalantar-Zadeh | 118 | 1025 | 56187 |
Peter J. Houghton | 63 | 228 | 14321 |
Alessandro Piccolo | 62 | 284 | 14332 |
R. W. Guillery | 60 | 106 | 13439 |
Ulrich Klotz | 56 | 213 | 10774 |
Nicholas H. Oberlies | 52 | 262 | 9683 |
Brian Norton | 49 | 322 | 9251 |
Adesola Ogunniyi | 47 | 272 | 11806 |
Obinna Onwujekwe | 43 | 282 | 8960 |
Sanjay Batra | 39 | 329 | 7179 |
Benjamin Uzochukwu | 38 | 163 | 9318 |
Christian N. Madu | 36 | 134 | 5378 |
Jude U. Ohaeri | 36 | 121 | 3088 |
Peter A. Akah | 33 | 164 | 3422 |
Charles E. Chidume | 33 | 153 | 3639 |