Five mixed primary schools from the district of Tikrit/ Salah al- din province
with a total of 100 male and female pupils and two ages(8-9 and 10-11 years),
were selected randomly to study the relationship between the breakfast meal and
the academic level, the socioeconomic situation, and the number of family
members. The study showed a positive linear correlation between the morning
meal, and academic level of students for both two covered ages, also showed a
clear impact between the development of family's socioeconomic situation and
their nutrition level. There were an increase in the percentage of pupils aged 8-9
years with a poor nutrition when they were belonged to a poor or medium
socioeconomic families, with the absence of students with poor nutrition at the
improvement family level to very good. The medium level of nutrition indicates a
higher percentage when the students belongs to a good economic situation, while
the level good and very good nutrition gives an increase in the percentage of
students; with the improvement at the socioeconomic level of the family with a
different rates of increasing, noting the absence of students with good and
very good nutrition in the case of inferior status of the family. Same relationship for
pupils aged 10-11 were shown. Also there were an effect of the number of family
members to which these students were belonged on the level of nutrition, there
were a decrease in the level of nutrition for these students commensurate with the
increase in family members for both two covered age. From this we can conclude
that there were an opposite effect for both of the socioeconomic situation, and the
number of family members on the academic level of the students for both two
covered ages.
Resumé
La Peste, paru en 1947 et qui reçoit le prix des critiques acquiert a Camus une notoriété universelle, il reçoit en 1957 le prix Nobel pour une œuvre qui, selon les termes de l’Académie suédoise : « met en lumière les problèmes se posant de nos jours à la conscience des hommes ». A Oran où il n’arrive jamais rien, quelque chose va arriver. On découvre un rat mort, couvert de sang. Deux jours après on en trouve des centaines, puis des milliers. Deux semaines plus tard, un homme meurt d’une maladie, décrite avec précision, mais sans recherche de l’horreur. Après cet événement, on signale une dizaine, puis une vingtaine de cas de fiè
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Hand gestures are currently considered one of the most accurate ways to communicate in many applications, such as sign language, controlling robots, the virtual world, smart homes, and the field of video games. Several techniques are used to detect and classify hand gestures, for instance using gloves that contain several sensors or depending on computer vision. In this work, computer vision is utilized instead of using gloves to control the robot's movement. That is because gloves need complicated electrical connections that limit user mobility, sensors may be costly to replace, and gloves can spread skin illnesses between users. Based on computer vision, the MediaPipe (MP) method is used. This method is a modern method that is discover
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