The study aimed to identify the level of health awareness and health education among mothers zones, urban and rural areas as well as to identify the differences between them and to achieve this study was conducted on a sample of (121) or been Akhittarhn randomly, aged (20 - 43 years) and applied them to a questionnaire to measure the health awareness, which formed from a group of paragraphs, and after the collection of data was treated using the statistical software (SAS), where research showed many of the results are:
1/ Reached the age group ranging between (20-30 years), the highest rate for the present, where was (40.51%), while in the countryside matched by age group (31-40 years old) in terms of (54.76%)./ It turns out that the percentage of mothers who read health guidelines affixed (posters) in health centers in rural areas is higher than in urban areas where the percentage ratio (38.10%) in the countryside and are offset (26.58%) in urban areas.
3 / turns out that mothers who read health guidelines in the health centers are the holders of primary and intermediate certificate in urban areas while in rural areas are of primary school graduates
4 / It turns out that the percentage (67.9%) of the Ganh study in urban areas are watching a Asahahbinma outreach programs in the countryside percentage (11.90%).
5 / shows that the percentage (24.5%) of the studied sample in urban areas are with secondary education who are watching a health awareness programs while the increase in rural areas (7.14%) are of medium degree holders.
6 / percentage of mothers who are keen to review the health centers in urban areas is higher than in the countryside where the percentage of (50.63%) and (50.00%), respectively.
7 / It turns out that mothers in urban areas turn to see a doctor when feeling unwell while mothers in the countryside resort to charge pharmacist consultation.
8 / shows that mothers who turn to see the doctor in urban areas are of the certificate junior campaign and its percentage (35.29%)
9 / turns out that mothers who turn to see the doctor in the countryside are holders of certificate of primary and percentage (50.00%), while the percentage (76.47%) are of primary school graduates have recourse to the pharmacist in charge.
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The main objective of present work is to describe the feasibility of friction stir welding (FSW) for
joining of low carbon steel with dimensions (3 mm X 80 mm X 150 mm). A matrix (3×3) of welding
parameters (welding speed and tool rotational speed) was used to see influence of each parameter on
properties of welded joint .Series of (FSW) experiments were conducted using CNC milling machine
utilizing the wide range of rotational speed and transverse speed of the machine. Effect of welding
parameters on mechanical properties of weld joints were investigated using different mechanical tests
including (tensile and microhardness tests ). Micro structural change during (FSW) process was
studied and different welding zones
Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration
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This research aimed to examine the effect of concentration of dyes stuff, contact time, temperature and ratio of adsorbent weight in (gm) to volume of solution in (ml) on the percentage removal. Two dyes were used; direct blue 6 and direct yellow and the adsorbent was the maize cob. Batch experiments were performed by contacting different weights of adsorbent with 50 ml of solution of desired concentration with continuous stirring at various temperatures. The percentage of removal was calculated and the maximum percentage of removal was 80%. And as the concentration of solution, contact time, temperature and the ratio of adsorbent to volume of solution increase the percentage of removal increase.
Abstract
Electric arc furnace applications in industry are related to position system of its pole, up and down of pole. The pole should be set the certain gap. These setting are needed to calibrate. It is done manually. In this research will proposed smart hydraulic to make this pole works as intelligent using proportional directional control valve. The output of this research will develop and improve the working of the electric arc furnace. This research requires study and design of the system to achieve the purpose and representation using Automation Studio software (AS), in addition to mathematically analyzed and where they were building a laboratory device similar to the design and conduct experiments to stud
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