UISpace
Welcome to UISpace, The University of Ibadan Institutional Repository. A collection of theses, articles, books, videos, images, lectures, papers, data sets and all types of digital content originating from the University of Ibadan Nigeria. This repository is managed by the Kenneth Dike Library University of Ibadan, Nigeria.
Communities in DSpace
Select a community to browse its collections.
- Please Click to View Repository
- Centre for Educational Media Resources
- College of Medicine
Recent Submissions
Deforestation Assessment in Ikere Forest Reseerve, Nigeria Using Geographic Information System Technology
(Forests and Forest Products Society, 2016) Alo, A.A.; Akindele, S. O.
Digital Elevation Model (DEM) is a very important geospatial data used in modeling different hydrological and ecological phenomenon which are required in preserving our micro environment. DEMs are typically used to represent terrain relief. DEMs are particularly relevant for many applications such as lake and water volumes estimation, soil erosion volumes calculations, flood estimate, quantification of earth materials to be moved for channels, roads, dams, embankment etc. In this study, a total of 1,849 points coordinates with their respective elevations were obtained covering the entire study area. The algorithm used includes interpolated natural neighbour of Quantum Geographic Information System (QGIS) to generate Digital Elevation Model (DEMs) for the forest reserve. The contour lines were extracted from DEM at interval of 20 m from one another. It was observed that the presence of Omo river at the southern part of the reserve is responsible for the very low altitude obtained. On the other hand, the altitude at the northern part of the reserve is relatively high because of the presence of rock outcrop, which also makes the vegetation to be scanty. Therefore, Geographic Information System was used to develop Digital Elevation Model for Omo forest reserve to serve as baseline information for the study area.
Development of Digital Elevation Models for Omo Forest Reserve Nigeria
(Commonwealth Forestry Association, 2016) Alo, A.A.
Digital Elevation Model (DEM) is a very important geospatial data used in modeling different hydrological and ecological phenomenon which are required in preserving our micro environment. DEMs are typically used to represent terrain relief. DEMs are particularly relevant for many applications such as lake and water volumes estimation, soil erosion volumes calculations, flood estimate, quantification of earth materials to be moved for channels, roads, dams, embankment etc. In this study, a total of 1,849 points coordinates with their respective elevations were obtained covering the entire study area. The algorithm used includes interpolated natural neighbour of Quantum Geographic Information System (QGIS) to generate Digital Elevation Model (DEMs) for the forest reserve. The contour lines were extracted from DEM at interval of 20 m from one another. It was observed that the presence of Omo river at the southern part of the reserve is responsible for the very low altitude obtained. On the other hand, the altitude at the northern part of the reserve is relatively high because of the presence of rock outcrop, which also makes the vegetation to be scanty. Therefore, Geographic Information System was used to develop Digital Elevation Model for Omo forest reserve to serve as baseline information for the study area.
Land Use Land Cover Dynamics of Faculty of Agriculture and Forestry Practical Demonstration Site, I1eogbo, Osun State, Nigeria
(Forests and Forest Products Society, 2018) Ilelakinwa, G. A.; Alo, A.A.
Information on land use and land cover is very essential for change detection and monitoring especially where anthropogenic activities prevail like the Faculty of Agriculture and Forestry Practical Demonstration Site at Ileogbo (FAFPDSI). Such formation will help in the management of the site. However, detail information on these changes over time is lacking. Therefore, the land use land cover dynamics of the FAFPDSI was investigated over time in this study. This was with the view of providing information for the sustainable management of the site. Sketch map of Ileogbo was obtained from Physical Planning Unit of University of Ibadan, Ibadan, Nigeria. Landsat 7 Enhanced Thematic Mapper imagery of 2002, 2017 and historical image of 20 13 were obtained. These imageries were subjected to spectral enhancement and geometric corrections. The imagery was subjected to supervised classification method using IDRISI Taiga where four land use types were discovered. The four land use types are forest, bare-land, farmland and built-up. The results showed that natural forest reduced from 104.76 ha in 2002 to 81.41 ha in 2013 and to 71.51 ha in 2017 with a percentage change of -31.74%' Farmland, on the other hand. increased from 60.89 ha in 2002 to 66.04 ha in 2013 and to 68.28 ha in 2017 with a percentage change of 12.09%. The rate of deforestation was recorded ~t 2.22 ha/yr. The forest land in the study area is reducing' at an alarming rate. Bare-land and farmland are replacing the forest. The study has revealed the efficiencies of remote sensing and GIS techniques for data capturing to produce reliable information on the land use/land cover and the changes that has occurred over time.
Prevalence of malnutrition among cancer patients in a Nigerian institution
(Lifescience Global, 2017) Ntekim, A.; Folasire, O. F.; Folasire, A. M.
Abstract: Background: Cancer is a major health problem. Successful management includes adequate supportive care. Nutritional problems are common among cancer patients and these are not routinely addressed by oncologists during oncology care leading to suboptimal outcome even in developed countries. In Nigeria and other low and medium income countries, the situation is worse as nutritional screening and assessment of cancer patients are not routinely carried out.
Objectives: To determine the proportion of cancer patients at risk of malnutrition and compare convergence of risk assessment using SGA and MUST tools.
Methods: This was a prospective study carried out among cancer patients who presented for cancer care in the Department of Radiation Oncology, University College Hospital Ibadan, Nigeria. Nutritional assessment tools which included Malnutrition Universal Scoring Tool (MUST) and Subjective Global Assessment (SGA) were used to assess the nutritional status of the participants.
Results: A total of 89 patients aged between 18 and 85 years participated in the study. The number of males were 13 (15%) while females were 76(85%). In our study 54 (60.8%) of our patients were at risk of malnutrition using the malnutrition universal scoring tool (MUST) scale while 53(60%) were malnourished using the subjective global assessment (SGA) scale. The reliability for the classifications using the MUST and SGA scales was positive (moderate) [Kappa = 0.584 (p <0.0005), 95% CI (0.410, 0.758)].
Conclusion: There is a high proportion of clinical malnutrition among cancer patients in the study population. According to this study, there was similarity between the classifications of nutritional risk, using the MUST and SGA tools.
Evaluation of the sub-chronic toxicity profile of the corm of Xanthosoma sagittifolium on hematology and biochemistry of alloxan-induced diabetic Wistar rats
(De Gruyter, 2017) Oridupa O. A.; Folasire, O. F.; Owolabi, A. J.
Background: Hematological and biochemical changes associated with diabetes mellitus and probable reversal were assessed in alloxan-induced diabetic Wistar rats fed with varied percentages of Xanthosoma sagittifolium corm feed (Xs). The changes were compared to normoglycemic rats and diabetic rats treated with glibenclamide.
Methods: The study had eight groups in all with group 8 (control) consisting of five normoglycemic rats fed with normal rat pellets (Nrp). Diabetes was experimentally induced by intraperitoneal injection of alloxan to normoglycemic rats. Diabetic rats (serum glucose >200 mg/dL) at 48h postinjection were randomly divided into the seven groups, each diabetic group consisting of five rats. One group was untreated and fed with Nrp, four groups were fed with 25 %, 50 %, 75 % or 100 % Xs, one group was fed with 100 % Xs and administered with glibenclamide, while a 7th group was fed with Nrp and administered with glibenclamide.
Results: This study shows that treatment of diabetes with corm of X. sagittifolium increases cellular response to inflammation which is required for body defense against assaulting agents. Decreased serum protein levels observed in untreated diabetic rats were restored in diabetic rats fed with X. sagittifolium corm with particular increase in serum albumin levels but depression of globulin fraction, except in rats fed with X. sagittifolium feed and administered with glibenclamide. X. sagittifolium showed a potent antihyperglycemic effect and corrected the dyslipidemia in a manner comparable to that observed for glibenclamide. Although HDL levels were still low, significant (p <0.05) decrease of LDL levels was a positive indicator of reduced risk for development of cardiovascular and/or coronary heart disease.
Conclusions: X. sagittifolium corm can be recommended for inclusion in diets of diabetics without causing further deterioration of health of the diabetic patients.