Published scientific papers
https://repository.sustech.edu/handle/123456789/1337
2024-03-29T06:22:04ZA Survey of Seasonal Gastrointestinal Parasitic Infections in Donkeys from a Semiarid Sub-Saharan Region, Sudan
https://repository.sustech.edu/handle/123456789/16820
A Survey of Seasonal Gastrointestinal Parasitic Infections in Donkeys from a Semiarid Sub-Saharan Region, Sudan
Ismail, Ahmed Abdurhman; Ahmed, Nasredin Khogali; Bashar, Ahmed Elhag; Seri, Hisham Ismail; Asil, El Tigani Ahmed El Tigani; Abakar, Adam Dawoud
Out of 92 donkeys examined for gastrointestinal parasites, 90 animals were found infected by one or more gastrointestinal parasites
with an overall prevalence rate of 97.78%. The distributions of the recovered parasites in the different parts of the body were as
follows: stomach, 92.4%, small intestine, 19.6%, caecum, 88%, colon, 80.4%, rectum, 73.9%, and cranial mesenteric artery, 64.1%.
A significant difference was found between mean parasite counts and seasons. Hot wet season had higher mean parasites count
(5411.5 ± 1694.4) in comparison with hot dry (1795.9 ± 399.6) and cool dry (1719.9 ± 522.4) seasons. Although there was no
significant difference between age andmean parasite count, animalsmore than four years old had highmean count (3361.3±921.8)
in comparison with 2330 ± 744.3 and 2030.2 ± 873.1 for young and adults animals, respectively. No significant positive or negative
correlation was found between total parasite counts of infected animals and any of the climatic factors.Theparasites identified were
Habronema spp. (40.2%), Trichostrongylus axei (30.4%), Parascaris equorum(18.5%), Anoplocephala perfoliata (4.35%), Gastrodiscus
aegyptiacus (8.7%), large strongyles (84%), small strongyles (72%), and Oxyuris equi (1.1%).
Article
2016-03-10T00:00:00ZHypercholesterolemia Due to Chronic Renal Failure in Diabetic Sudanese Patients
https://repository.sustech.edu/handle/123456789/16819
Hypercholesterolemia Due to Chronic Renal Failure in Diabetic Sudanese Patients
Idris, O.F.; Ahmed, Mohja A.; Tammam, A.I.; Seri, Hisham; Modawe, GadAllah
This study was conducted to compare the quantitative and qualitative aspects of serum cholesterol in chronic renal failure (CRF) patients due to diabetes with that of CRF in patients due to other causes, and assessing the possibility for developing atherosclerotic cardiovascular disease. The study was conducted in 80 Sudanese patients on haemodialysis and peritoneal dialysis, 40 of them had CRF due to Diabetes mellitus and others had CRF due to other causes. Additional 40 health Sudanese served as control. Serum samples were analyzed using standard colorimetric methods to detect concentration of the total cholesterol, triglycerides, high density lipoprotein. In CRF patients due to diabetes mellitus there was significant increase in serum cholesterol level, also there was consequent decrease in high density lipoprotein. The mean of total cholesterol was 255 mg/dl in the first group and in the second was 183 mg/dl, triacylglycerols was 177 mg/dl for the first group and for the second group was 163 mg/dl, low density lipoproteins was 187 mg/dl for the first group and for the second group was 113 mg/dl, high density lipoprotein cholesterol was 27 mg/dl for the first group and 31 mg/dl for the second group. There was no effect of sex, age and the duration of renal failure. This study demonstrated the effect of diabetes mellitus on lipoprotein level in patients with CRF as one of the atherosclerotic risk factor.
Keywords: chronic renal failure, diabetes mellitus, hyperlipaemia.
Article
2015-01-10T00:00:00ZNeuro-Fuzzy Controller Design for a Dc Motor Drive
https://repository.sustech.edu/handle/123456789/14711
Neuro-Fuzzy Controller Design for a Dc Motor Drive
Mustafa, Ghazally Y.; Ali, A. Taifour; Bashier, Eisa; Elrahman, Mirghani Fateh
This paper presents a neuro-fuzzy controller design for speed control of DC motor. The most commonly used controller for the speed control of dc motor is the conventional Proportional-Integral-Derivative (PID) controller. The PID controller has some disadvantages like: high overshoot, sensitivity to controller gains and slow response. Fuzzy control and neuro-fuzzy control are proposed in this study. The performances of the two controllers are compared with PID controller performance. In this paper, neural networks are used in a novel way to solve the problem of tuning a fuzzy logic controller. The neuro fuzzy controller uses neural network learning techniques to tune membership functions. For the speed control of dc motor drives, it is observed that neuro-fuzzy controller gives a better response compared to other controllers
Article
2013-02-01T00:00:00ZComparison of some Classical PID and Fuzzy Logic Controllers
https://repository.sustech.edu/handle/123456789/14709
Comparison of some Classical PID and Fuzzy Logic Controllers
Tayeb, Eisa Bashier M.; Ali, A. Taifour
Abstract— The proportional-integral-derivative (PID) controller is tuned to find its parameters values. Generally most of the tuning
methods depend mainly on the experimental approach of open-loop unit step response. The controller parameters can be found if the
system truly can be approximated by First Order Plus-Dead Time (FOPDT). The performance of most of them deteriorates as the ratio of
approximated equivalent delay L to the overall time constant T changes. On the other hand fuzzy PID controller is not tuned through the
same conventional tuning procedures. It’s constructed as a set of control rules and the control signal is directly deduced fr om the
knowledge base and the fuzzy inference. Fuzzy controller parameters tuned by starting from the equivalent values obtained for optimum
controller. The performances of different PID tuning techniques are simulated for different order systems and compared wi th fuzzy-PD+I
controller. MATLAB simulation results show that Fuzzy PD+I have better performances over other conventional PID controllers.
Article
2012-09-01T00:00:00Z