Faculty of sciencehttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/1192024-03-29T02:08:02Z2024-03-29T02:08:02ZEffects of Industrial Waste on Phytoplankton in Kirinya Bay, Lake VictoriaAbubakar, Mohammedhttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/5712019-05-21T17:57:56Z2015-01-01T00:00:00ZEffects of Industrial Waste on Phytoplankton in Kirinya Bay, Lake Victoria
Abubakar, Mohammed
This study investigated effect of industrial waste discharge on phytoplankton diversity and composition. This was done through the analysis of selected physico-chemical parameters of the water and phytoplankton diversity. Water samples were collected from four different sites with reference to BIDCO Cooking Oil Refining Ltd, Steel rolling Mills, Sewage Treatment Plant, Leather Industries of Uganda and a sample from open water as control. Physico-chemical parameters and phytoplankton abundance were determined using standard analytical procedures. The results showed that the Secchi depth, temperature, pH and conductivity ranged from 0.77-1.79 m, 27.0-27.9ºC, 6.50-7.00 and 101-153 μS/cm respectively. The highest conductivity value was recorded at the leather industry site. 6.20-7.80. The ranges for dissolved oxygen, total nitrogen and total phosphorus of the water samples were 1.83-5.76 mgl-1, 0.05-0.22 mgl-1 and 0.13-1.51 mgl-1 respectively. The open water site had the highest amount of dissolved oxygen while the leather industry site had the lowest. The highest level of nitrogen was found at the leather industry site. Low oxygen level, high conductivity and high nitrogen level at the leather industry site indicate that this site is moderately polluted. Generally TN: TP ratios were low in the different sites. The phytoplankton of Kirinya Bay was dominated by Cyanophyta that accounted for more than 60% of the total phytoplankton. The sewage treatment plant and leather industries sites had the largest percentages of cyanophytes. The predominance of cyanophytes is an indicator of pollution in the bay. It is recommended that the indiscriminate disposal of the wastes should be discouraged and there is need for each industry to install a waste treatment plant with a view to treat wastes before being discharged into the water bodies.
2015-01-01T00:00:00ZOn empirical power of univariate normality tests under symmetric, asymmetric, and scaled distributionsNafiu, Lukman AbiodunIbitayo, Lanlege DavidMuyombya, Solomon Matovuhttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/5632019-05-21T17:57:43Z2017-01-01T00:00:00ZOn empirical power of univariate normality tests under symmetric, asymmetric, and scaled distributions
Nafiu, Lukman Abiodun; Ibitayo, Lanlege David; Muyombya, Solomon Matovu
The study aims at conducting an empirical comparison of powers of the univariate normality tests under different distributions to obtain their ranking using a Monte-Carlo simulation for large sample sizes. A total of six normality tests were selected. From the Empirical Distribution Function (EDF), the Kolmogorov-Smirnov (Lilliefors correction) and Anderson-Darling normality tests were chosen. From the regression and correlation family of distributions, the Shapiro-Wilk and Shapiro-Francia normality tests were chosen. The Jaque-Bera and D’Agostino Pearson normality tests were chosen from the moment family. The empirical powers of these normality tests were studied using distributions that are symmetric, asymmetric and scale contaminated normal distributions.
Findings show that for symmetric distributions, Kolmogorov-Smirnov normality test is the most powerful test, followed by Anderson-Darling, Shapiro-Wilk, Shapiro-Francia, D'Agostino-Pearson and lastly Jaque-Bera. For asymmetric distributions, the Anderson-Darling normality test was best, followed by Shapiro-Wilk, Kolmogorov-Smirnov, Jaque-Bera, Shapiro-Francia and lastly D’Agostino. For scale contaminated distributions, Kolmogorov-Smirnov is the most powerful test, followed by Anderson-Darling, Shapiro-Francia, Shapiro-Wilk, D'Agostino-Pearson and lastly Jaque-Bera. Thus, regardless of the nature of the distribution given a large sample size, Kolmogorov-Smirnov is the most powerful normality test, followed by Shapiro-Wilk, Shapiro-Francia, Anderson-Darling, Jaque-Bera and lastly D'Agostino-Pearson.
The study recommends that for distributions that have short tails like symmetric distributions, correlation/regression-based tests should be used. For long tailed distributions like symmetric distributions, Empirical-based normality tests should be used and moment-based tests should be used if interest is in kurtosis and skewness of the data.
2017-01-01T00:00:00ZRector's speech at the 30th Anniversary celebrations ceremony of the Islamic University in Uganda held at IUIU man Campus Mbale, Saturday 10th February 2018Sengendo, Ahmad K.http://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/5152019-05-21T17:57:57Z2018-01-01T00:00:00ZRector's speech at the 30th Anniversary celebrations ceremony of the Islamic University in Uganda held at IUIU man Campus Mbale, Saturday 10th February 2018
Sengendo, Ahmad K.
First of all, we thank Allah (SW) for enabling us to congregate here to celebrate 30 years of the existence of the Islamic University in Uganda (IUIU).
Dear Chief Guest, and all of you our distinguished guests, we welcome you to IUIU and thank you very much for coming to celebrate with us IUIU’s 30 years of service to humanity. Your presence is a great honour to IUIU. We pray to Allah to reward each one of you most appropriately.
2018-01-01T00:00:00ZOccurrence of Urinary tract Infection (Uti) Among the Student Hostels at Islamic University in Uganda, Main CampusSidi, Amina Ibrahimhttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/4072019-05-21T17:58:05Z2015-01-01T00:00:00ZOccurrence of Urinary tract Infection (Uti) Among the Student Hostels at Islamic University in Uganda, Main Campus
Sidi, Amina Ibrahim
Urinary tract infection (UTI) is an infection in the urinary tract and caused by bacteria such as Escherichia coli. The objective of the study was to assess the incidence of urinary tract infection among the students at Islamic university in Uganda. The study used a cross-sectional research design in which both qualitative and quantitative statistical technique was adapted. In pursuit of this study, records sets from 2009-2014 were collected from the University (IUIU) health center, forty one (41) samples were selected from the toilets and bathrooms of both male and female hostels using systematic sampling; and two hundred and fifty (250) questionnaires were administered randomly to students in both male and female hostels. Statistical technique like frequencies and percentages, t-test, one-way ANOVA and chi-square were used to analyze data collected using the statistical package for social sciences (SPSS) software and EXCEL. The findings of the study established that there is presence of Escherichia coli and other bacteria in the toilets and bathrooms in both male and female student’s hostels, a high occurrence of UTI among female students than male students in the IUIU main campus and a low level of awareness of students on environmental hygiene but a high level of awareness of the consequences of UTI especially when not treated. The study therefore recommends that the University management should improve in the management of the hostels facilities. Cleaning of the toilets and bathrooms should always be done properly and orientation be given to students on issues of environmental hygiene.
2015-01-01T00:00:00Z