Although the validity of Maslach burnout scale is established across different countries and cultures, there is a minimal research on burnout in Morocco especially among university teachers. Therefore, the purpose of this study was to assess burnout among university teachers in Morocco. Burnout was diagnosed by using the Maslach Burnout inventory (MBI), which examines symptoms of burnout (emotional exhaustion (EE), depersonalization (DP) and the loss of personal accomplishment (PA)). MBI was administered to a simple sample of 121 full time university teachers using a questionnaire survey; the sample was selected randomly, and it vary by gender, age, marital status, rank, and seniority. The results showed that 64% of teachers suffer from burnout, 47% of them have an average burnout, and 17% have low exhaustion. The results also confirmed that 8% of emotional exhaustion was explained by the rank. 18% of depersonalization was affected by marital status, rank, and seniority. In addition, Married and highly ranked professors suffer less from depersonalization. Also, the results indicated that a personal accomplishment affected by, seniority, and age. In conclusion, burnout is not just generated by a stressful environment, but also by other by factors such as work and social environment a poor quality of life, and feelings that are associated with dissatisfaction at work.

In this paper we provided modeling for the food gap in Yemen. We have studied this model by descriptive and analytical studies and formulated a model for the food gap, we estimated its parameters and predicted for the coming ten years using the Box and Jenkins methodology of time series analysis. Then, we compared this methodology to the exponential smoothing and simple regression methods. We found the following main results for the three time series regarding the food gap: 1. ARIMA (1, 1, 1) model to predict the price of food importation series. 2. Brown exponential smoothing model to predict the price of food exportation series. 3. ARIMA (1, 1, 1) model to predict the price of food production series. Through the results, we concluded that food production will not meet the local demand for food, where of the equation: local demand consumption of food = food importation + food production - food exportation. The ratio of production to consumption is expected to reach 29.3 % in 2015 and to continue to decline to reach 28.8 % in 2020.

This paper is concerned with calculation of the forecasting of some agricultural products (tomatoes in the market of Oujda-Morocco). In the first section deals with the theoretical part of time series, and Box and Jenkins method. The second section is about calculating the forecasting for cycle 12/2013-7/2014. We analyze the time series using the following statistical programs: Excel, SPSS, and Eviews7. At the end, we have chosen the appropriate model for the prediction of tomato prices, in the market of fruits and vegetables of OUJDA.