Social and Spill-Over Benefits as Motivating Factors to Investment in Formal Education in Africa: A Reflection around Ghanaian, Kenyan And Rwandan Contexts.

This study examined the social and spill-over benefits as motivating factors to investment in formal education in selected countries in Africa. The paper had three objectives, namely) to profile the key statistics of formal schooling; ii) examine the formal education and iii) link national goals of education with expectations in Ghana, Kenya and Rwanda. The major contention of the paper is that investment in education is not a matter of random choice but rather an imperative led by the fact that education holds returns and externalities to the largest society.  Authors reviewed theory of human capital, local and international publications on social and spill over benefits of education focusing on Ghana, Kenya and Rwanda. The analysis of government policies and other publications from these three African nations have shown that education is considered as a key sector in these developing nations. Nevertheless, the researchers found out that mostly only primary and secondary education are distinctively accorded considerable public financial resources which might be associated with the countries limited financial ability, competitive needs, national and global trends. However, the fact that Ghana, Kenya and Rwanda strive to become democratic, self-reliant and middle income nations by conquering long terms set visions in which caliber manpower, welfare, self-employment, reduced social inequalities, increase in average income, knowledge based society, ICT driven and sustainable economy are key characteristics; it is imperative to invest substantially in TVET and higher education. It is also recommended that Ghana, Kenya and Rwanda put in place strong institutions that objectively, effectively and rationally ensure the efficient use of all available resources towards maximum educational outputs (265 words). Key words: Social Benefits, Spill-over Benefits, Private Cost, Social Cost, Private Rate of Returns, Education, Cost- Best Analysis in Education, Africa, Ghana, Kenya, Rwanda

Establishment of Adult Reference Values For Some Biochemical Analytes in A Rwandan Population

Objectives: To establish the reference values for some routinely performed biochemical analytes in CHUK.Design: Cross-sectional descriptive study.Settings: National Center for Blood Transfusion, Rwanda and Kigali University Teaching Hospital,  Laboratory Department. This study was conducted during the period between 15th September 2014 and 23rd February in 2015.Subjects: Blood donors donating blood at National Center for Blood Donation, and recruited by mobile teams across the country.Results: Median (Reference values:2.5th and 97.5th percentiles) for male and female respectively: Bilirubin Direct,3.9(2-6.9) and 3.9(2.6-6.5) μmol/L; Bilirubin Total,10.3(4.8-21.6) and 10.4(5.9-17.3) μmol/L; Aspartate Aminotransferase, 27.8(16.1-49.2) and 26.7(16.8-45.1) U/L;Urea,3.2(1.3-5.8) and 3.1(1.4-5.2)mmol/L; Glucose, 5.0(3.2-7.7) and 4.6(3.1-6.7) mmol/L; Total Proteins, 76.8(68.2-87.7) and 76.9(66.6-85.7)g/L; Albumin, 46.4(39.7-55.5) and 46.7(40-54.5) g/L; Alanine Aminotransferase,  17.1(7.2-36.2) and 16.0(7.3-33.9) U/L; Gamma Glutamyltransferase, 20.3(8-75.6) and 21.1(7.1-63.3) U/L; Alkaline Phosphatase, 74.3(43.8-145.7) and 73.5(50.3-135.4) U/L; Creatinine, 84.4(65.2- 107.1) and 81.1(62.5-98.6) μmol/L; Sodium, 139.0(134.5-145.5) and 141.0(134.5-146.5) mmol/L; Potassium, .4.4(3.7-5) and 4.3(3.5-5.0) mmol/L; Chloride, 95.7(89.9-104.2) and 99.3(90.6-103.1) mmol/L;  Magnesium, 0.9(0.7-1.0) and 0.9(0.7-1) mmol/L; Phosphate, 1.1(0.8-1.5) and 1.2(0.7-1.6) mmol/L.Conclusion: The results of our study on Clinical Chemistry parameters are similar to those published in other African countries, with variations due to the diet and geographical location. This study has shown that a strict adherence to reference ranges developed from industrialised countries could qualify many healthy Rwandans as pathological cases, and also exclude them from participating in clinical trials. Compared to other reference ranges established, reference values in our study presented remarkably low levels of urea which may be due to the diet low in proteins generally in Rwandan population

Surface-modified polyacrylonitrile nanofibers as supports

Polyacrylonitrile nanofibers (PAN-nfs) are one of the most studied nanofibres because of their excellent characteristics, such as good mechanical strength, chemical resistance, and good thermal stability. Due to the easy dissolution in polar organic solvents, PAN-nfs are mostly produced via electrospinning technique. The electrospun PAN-nfs surfaces are relatively in-active and hydrophobic, and, therefore, hinder some potential applications; however, chemical surface modification reactions, such as amination, reduction, hydrolysis, and amidoximation, have been carried out on them. These reactions bring about functional groups, such as amine, hydroxyl, carboxylic, imine etc, to the surface PAN-nfs and invariably make their surfaces active and hydrophilic. The surface-modified PAN-nfs have been used as supports for organic compounds, enzymes, and antibodies in biological studies. They have also been used for immobilization of various organic ligands for adsorption of metal ions in water. Furthermore, because of their ability to complex metal ions, several surface-modified PAN-nfs have also been used as supports for transition metal catalysts in Fenton’s chemistry.IS

Land change dynamics: insights from Intensity Analysis applied to an African emerging city

Land change in Kigali, Rwanda, is examined using Intensity Analysis, which measures the temporal stationarity of changes among categories. Maps for 1981, 2002 and 2014 were produced that show the land categories Built, Vegetated and Other, which is composed mainly of croplands and bare surfaces. Land change accelerated from the first time interval (1981–2002) to the second time interval (2002–2014), as increased human and economic activities drove land transformation. During the first interval, Vegetated showed net loss whereas Built showed net gain, in spite of a small transition directly from Vegetated to Built. During the second interval, Vegetated showed net gain whereas Built showed nearly equal amounts of gross loss and gross gain. The gain of Built targeted Other during both time intervals. A substantial portion of overall change during both time intervals consisted of simultaneous transitions from Vegetated to Other in some locations and from Other to Vegetated in other locations