32 research outputs found

    Modernisation in Automotive Technology and performance of Informal Sector Mechanics in Kenya

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    Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 6 (2004): L. Kipkurui, I. Kithyo, P. Okemwa, and J. Korir. Modernisation in Automotive Technology and performance of Informal Sector Mechanics in Kenya. (August 2004)

    Primary cerebellar glioblastoma multiforme with uncharacteristic clinical and imaging features

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    Introduction Cerebellarglioblastomamultiforme (GBM) is a very uncommon adult lesion. We present a case of cerebellar GBM and review their clinical, imaging and pathological features.Case presentation We report the case of a 30 year-old Kenyan femalewith progressive headache and coordination deficits. A neurologic examination revealed the presence of cerebellar signs. Computed tomography (CT) demonstrated a well circumscribed, hemorrhagic lesion in the posterior fossa with minimalperilesionaloedemaand mild enhancement with contrast. On magnetic resonance imaging (MRI) the mass was hyperintense on T1-weighted, hypointense on T2-wieghted with minimal adjacent edema, showed blooming on gradient sequence and no restriction with diffusion. The mass had mild enhancement with gadolinium contrast. Suboccipitalcraniotomy was carried with pathologic examination revealing a highly cellular tumor with marked nuclear atypia, numerous mitoses and areas of necrosis.Conclusions We report an unusual case of cerebellargliobastoma with atypical imaging findings. Cerebellarglioblastoma multiforme should be considered in the differential diagnosis of a cerebellar mass lesion.Key words: Cerebellum, Glioblastoma, Posterior foss

    The State of Agricultural Mechanisation in Uasin Gishu District, Kenya, and its Impact on Agricultural Output

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    Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 9 (2007): The State of Agricultural Mechanisation in Uasin Gishu District, Kenya, and its Impact on Agricultural Output. Invited Overview. Vol. IX. June, 2007

    Designing capacity-building in e-learning expertise: Challenges and strategies

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    This research study looks at how organizations in developing countries perceive the challenge of building capacity in e-learning expertise. Data was collected on six such organizations, and a range of perceived rationales and constraints were identified. The paper hypothesizes a four-part framework to define the e-learning capacity gaps that these circumstances appear to represent: the 'instructional design capacity gap', the 'production capacity gap', the 'tutorial capacity gap' and the 'community building gap'. The framework is used to re-examine the data to explore the ways in which the organizations' e-learning activities might constitute strategic responses to the hypothesized capacity gaps

    Accuracy Assessment of the ESA CCI 20M Land Cover Map: Kenya, Gabon, Ivory Coast and South Africa

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    This working paper presents the overall and spatial accuracy assessment of the European Space Agency (ESA) 20 m prototype land cover map for Africa for four countries: Kenya, Gabon, Ivory Coast and South Africa. This accuracy assessment was undertaken as part of the ESA-funded CrowdVal project. The results varied from 44% (for South Africa) to 91% (for Gabon). In the case of Kenya (56% overall accuracy) and South Africa, these values are largely caused by the confusion between grassland and shrubland. However, if a weighted confusion matrix is used, which diminishes the importance of the confusion between grassland and shrubs, the overall accuracy for Kenya increases to 79% and for South Africa, 75%. The overall accuracy for Ivory Coast (47%) is a result of a highly fragmented land cover, which makes it a difficult country to map with remote sensing. The exception was Gabon with a high overall accuracy of 91%, but this can be explained by the high amount of tree cover across the country, which is a relatively easy class to map

    Computerized Cataloguing: INF 323

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    Computerized Cataloguing: INF 323, Supplementary examination January 2010

    Introduction to Cataloguing & Classification: INF 122

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    Introduction to Cataloguing & Classification: INF 122, supplementary examination January 2010

    The Reference Process: INF 224

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    The Reference Process: INF 224, supplementary examination January 2010

    Introduction to Library Management: LIB 122

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    Introduction to Library Management: LIB 122, supplementary degree examination November 2011

    Introduction to Library Management: LIB 122

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    Introduction to Library Management: LIB 122, supplementary degree examination November 2011
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