Policy challenges and food security in Alqadarif State, Sudan

Food security is under focused issue in Sudan as a whole and AlQadarif State is not apart from that. According to the integrated food security phases classification (IPC) report April (2015), about 60% of the population suffering from food insecurity in the State. This problem needs to be solved by clear and sound policies and strategies.  The main objective of this study is to investigate and evaluate the Food Security and Nutrition (FSN) policies and strategies in the State. To achieve this objective secondary data such as annual reports, policy documents were collected from all key line institutions and primary data were collected by the mean of a questionnaire the main results of this research are that: there were no clear food security and nutrition policy documents for the key line institutions in the State.  Also, there was a gap between the policymakers at the State level and the locality level. 42% of the policymakers at the locality level did not aware of the existence of the FSN body in the State. About 94% of the policymakers in the localities believed that the Chamber of Zakat plays a very important role in helping at FSN situations. About 92% of policymakers in the state said that finance is not sufficient. The majority of the localities policymakers, 94%, do not have any (FSN) database in their localities. Finally, the main recommendation of this study is to build a food security and nutrition policy/strategy putting the conservation of the natural resources in consideration

An Investigation of Inference of the Generalized Extreme Value Distribution Based on Record

In this article, the maximum likelihood and Bayes estimates of the generalized extreme value distribution based on record values are investigated. The asymptotic confidence intervals as well as bootstrap confidence are proposed. The Bayes estimators cannot be obtained in closed form so the MCMC method are used to calculate Bayes estimates as well as the credible intervals. A numerical example is provided to illustrate the proposed estimation methods developed here. Keywords: Generalized extreme value distribution, Record values, Maximum likelihood estimation, Bayesian estimation

Optimization of growth and extracellular glucoamylase production by Candida famata isolate

Candida famata was isolated from traditional Moroccan sourdough. It exhibited high glucoamylase and biomass production. Starch induces high glucoamylase production C. famata with maximum glucoamylase activity at 5 g/L. Glucose stimulates good production in biomass but strongly inhibitsglucoamylase production. Among the sources of nitrogen tested, yeast extract and the (NH4)2HPO4 gave maximum glucoamylase and biomass after 72 h of incubation in liquid medium at 30°C, pH 5 and 105 rpm

TEXTURE DEPTH DETERMINATION FOR STONE MASTIC ASPHALT (SMA).

The primary road surface characteristics that affect users are safety, noise and riding quality