The present study aimed to asspssment the nutrition a program to sample of student from internal departments of Baghdad University (AL-Jadiriya Complex) and the University of AL-MustanSiriya four grades and aged (19-24) year study included 150 male and female students by (75) male and (75) of female register height, weight nd body mass index were study habits and food pattern of the same sample (150) and by aspecial form and take the personal information interviews and record information on food intake during 24 hour .noted adifference practie in the weights and longths of male and female (sample).
BMI rates were within the normal weight as the value of BMI for males aged (19- 21)and (22-24) and (22.21) and (23,37),respectively and that the highest percentage recorded by the body massindex (46,42%) within the normal weight males aged (19-24) and the the highest percentage recorded in the slim weight for males aged (22-24) reached (61,60,40%) for females and higher percentage recorded within the two categories slim (19-21)and (22-24) weight and was (57,57%)and (71,42%) respectively it is not an approach to longed in Arab countries .
As with regard to food behavior there were so significant differences between males and females and the differences in favor of males has been observed where the highest percentage amounted to (77-33%)o f those who eat breakfast are permanent while recorded the highest rate of (36%)for those who consume wobbling (some time ).AS for the snack registered the highest percentage in favor of females who consume a permanent and (60%)
And also noted that there were significant differences between males and females about food often( canned) and the differences in favor of females interms of percentage amounted to (46,66%)
AS for miles reaching the percentage of (40%) and (33,33%) of the males excries is perm an ent and (44%)practice it is wobbling (some times) and for females reaching rtio (53,33%) dont excrise and(46,6640) practice it is wobbling (some times)
As for the repetition of the types of food normalize it was noted that there were significant differences were in favor of males reaching the proportion who consume milk and dairy products from the male is permanent (30,67,40) while in females was (2040) as well as the case of vegetables ,but the differences were in favor of females in terms of percentage of(64%) of them eat vegetables are permanents while the figure was (40%) in males AS for fruits percentages were close reaching (96%) and (97%) in females respectively and (46%) of females' eat sweets permanently while the percentage in males consume (60%) and sometimes wobbling as for soft drinks and weal's has been taken up by the proportion at remakes decals reaching (26-66%) and (44%) repectively while the furnace when the percentage reached (42-67) and (53.33%)respectively as noted there were significant differences between the furnace and femles in the amountal mjor nutrients and energy as well as vitamins and minerals consumed as observed were differences in favor of males and generally evidenced by this study there is adecrease in the level of food culture in sample search for itrequires acorrection is throngs awareness and education foodKey Words :Evaluation , Food curriculum ,Weight , Length , Body Mass Index ( BMI) , Behavior and dietary babits Daily food in take.
Disease diagnosis with computer-aided methods has been extensively studied and applied in diagnosing and monitoring of several chronic diseases. Early detection and risk assessment of breast diseases based on clinical data is helpful for doctors to make early diagnosis and monitor the disease progression. The purpose of this study is to exploit the Convolutional Neural Network (CNN) in discriminating breast MRI scans into pathological and healthy. In this study, a fully automated and efficient deep features extraction algorithm that exploits the spatial information obtained from both T2W-TSE and STIR MRI sequences to discriminate between pathological and healthy breast MRI scans. The breast MRI scans are preprocessed prior to the feature
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The risk of significant concern is resistance to antibiotics for public health. The alternative treatment of metallic nanoparticles (NPs), such as heavy metals, effects on antibiotic resistance bacteria with different types of antibiotics of - impossible to treat using noval eco-friendly synthesis technique nanoparticles copper oxide (CuO NPs) preparation from S. epidermidis showed remarkable antimicrobial activity against S.aureus Minimum inhibitory concentra range (16,32,64,256,512) µg/ml via well diffusion method in vitro, discover those concentrations effected in those bacteria and the best concentration is 64 µg/ml, characterization CuO NPs to prove this included atomic force microscope, UV, X-ray Diffraction and TEM, and ant
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Protecting information sent through insecure internet channels is a significant challenge facing researchers. In this paper, we present a novel method for image data encryption that combines chaotic maps with linear feedback shift registers in two stages. In the first stage, the image is divided into two parts. Then, the locations of the pixels of each part are redistributed through the random numbers key, which is generated using linear feedback shift registers. The second stage includes segmenting the image into the three primary colors red, green, and blue (RGB); then, the data for each color is encrypted through one of three keys that are generated using three-dimensional chaotic maps. Many statistical tests (entropy, peak signa
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Numerical Investigation was done for steady state laminar mixed convection and thermally and hydrodynamic fully developed flow through horizontal rectangular duct including circular core with two cases of time periodic boundary condition, first case on the rectangular wall while keeping core wall constant and other on both the rectangular duct and core walls. The used governing equations are continuity momentum and energy equations. These equations are normalized and solved using the Vorticity-Stream function and the Body Fitted Coordinates (B.F.C.) methods. The Finite Difference approach with the Line Successive Over Relaxation (LSOR) method is used to obtain all the computational results the (B.F.C.) method is used to generate th
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The instant global trend towards developing tight reservoir is great; however, development can be very challenging due to stress and geomechanical properties effect in horizontal well placement and hydraulic fracturing design. Many parameters are known to be important to determine the suitable layer for locating horizontal well such as petrophysical and geomechanical properties. In the present study, permeability sensitivity to stress is also considered in the best layer selection for well placement. The permeability sensitivity to the stress of the layers was investigated using measurements of 27 core sample at different confining stress values. 1-D mechanical earth model (MEM) was built and converted to a 3-D full-field geomechanical mode
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Flexible job-shop scheduling problem (FJSP) is one of the instances in flexible manufacturing systems. It is considered as a very complex to control. Hence generating a control system for this problem domain is difficult. FJSP inherits the job-shop scheduling problem characteristics. It has an additional decision level to the sequencing one which allows the operations to be processed on any machine among a set of available machines at a facility. In this article, we present Artificial Fish Swarm Algorithm with Harmony Search for solving the flexible job shop scheduling problem. It is based on the new harmony improvised from results obtained by artificial fish swarm algorithm. This improvised solution is sent to comparison to an overall best
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In the modern world, wind turbine (WT) has become the largest source of renewable energy. The horizontal-axis wind turbine (HAWT) has higher efficiency than the vertical-axis wind turbine (VAWT). The blade pitch angle (BPA) of WT is controlled to increase output power generation over the rated wind speed. This paper proposes an accurate controller for BPA in a 500-kw HAWT. Three types of controllers have been applied and compared to find the best controller: PID controller (PIDC), fuzzy logic type-2 controller (T2FLC), and hybrid type-2 fuzzy-PID controller (T2FPIDC). This paper has been used Mamdani and Sugeno fuzzy inference systems (FIS) to find the best inference system for WT controllers. Furthermore, genetic algorithm (GA) and particl
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