Showing 172845–172858 of 172,945 results for "Ibrahim Mohammadzadeh"

Journals 2018 EN

Responding to Emerging Diseases Requires Multi-disciplinary and One Health Training, Egypt.

Amira Roess · Sally Lahm · Ibrahim Kabbash +4 more

In Egypt, several infectious diseases of zoonotic origin have emerged in recent years like H1N1, MERSCoV and H5N1, the latter now endemic. Responding to these diseases requires a workforce trained in multi-disciplinary approaches to zoonotic disease research and control. It is difficult to deliver multidisciplinary and one health training globally because of the limited number of higher education programs that support such training. In low and middle-income countries where the impacts of emerging zoonotic diseases are felt more directly there is enthusiasm for such training and the use of e-technology can foster international, long-term collaborations.

PubMed Central
Journals 2018 EN

Effect of Dietary Inclusion of Fermented Mucuna pruriens Leaf Meal on Growth and Feed Utilisation of Clarias gariepinus Fingerlings

Rasaq Ibrahim · P. I. Bolorunduro · J. A. Adakole

Feeding trial was conducted in 18 plastic tanks (60 x 45 x 30 cm) to assess the performance of Clarias gariepinus fingerlings fed diets containing fermented Mucuna pruriens leaf meal as an alternative protein source to soya bean meal. Five isonitrogenous (crude protein-40%) diets were formulated containing fermented Mucuna leaf meal (FMLM) at A(100% FMLM), B(75% FMLM), C(50% FMLM), D(25% FMLM) and E(0% FMLM) and were fed at 5% body weight to triplicate groups of 10 fingerlings (initial mean weight ranged from 6.20± 1.96g – 6.80± 1.97 g) of C. gariepinus for a period of twelve (12) weeks. Growth performance and feed utilisation parameters indicate that E(0% FMLM) diet gave the highest weight gain (168.87± 3.97g) but did not significantly (P≥0.05) differ from D(25% FMLM), (161.30±6.12 g), and the lowest weight gain (89.70± 1.96 g) was recorded in A(100% FMLM). Similarly, the highest specific growth rate (3.79±0.03 g) was recorded in E(0% FMLM)  followed by D(25% FMLM) (3.74±0.04 g), and the least value (3.10±0.02 g) was obtained in A(100% FMLM). However, feed conversion ratio (FCR), protein efficiency ratio (PER) and gross feed conversion efficiency (GFCE) were not significantly different (P≥0.05) among the dietary treatments. The highest (1.72±0.12) and least (1.50±0.02) FCR were obtained in A(100% FMLM) and E(0% FMLM) respectively. The result from this study indicates that fermented Mucuna  leaf meal could replace soya bean meal up to 25% in the diets for C. gariepinus fingerlings without compromising growth and feed utilisation.

Sciencedomain International
Journals 2018 EN

Intelligent System for Diagnosing Tuberculosis Using Adaptive Neuro-Fuzzy

Ibrahim Goni · Christopher Umerah Ngene · I. Manga +2 more

Tuberculosis is a contiguous disease that is causing death both in developed and developing countries. The main aim of this research work was to a developed an intelligent system for diagnosing Tuberculosis using adaptive neuro-fuzzy methodology. Eleven symptoms of tuberculosis which are persistent cough for more than two weeks, cough with blood, weight loss, tiredness, chest pain, fever, difficulty in breathing, loss of appetite, lymph node enlargement, history of TB contact and night Sweat are assigned with weights which are categorize best on severity level as mild, moderate, severe and very severe, yes and no which serve as inputs to the adaptive neuro-fuzzy Original Research Article Goni et al.; AJRCOS, 2(1): 1-9, 2018; Article no.AJRCOS.44210 2 inference system (ANFIS). MATLAB 7.0 is used to implement this experiment, Trapezoidal Membership function was used, back propagation algorithm was used for training and testing, the error obtain is 0.41777 at epoch 2 which shows that the training performance is exactly 99.58223 and testing performance of the system are 99.58197 at epoch 2.

Sciencedomain International