AL-MANSOUR JOURNAL

A systolic pressure has a top (systolic) and bottom (pulse pressure) number (diastolic) Normal. People who already have hypertension that is greater than average should ask their doctor about how to lower it. Previously, the level was set at 140/90 mm Hg for people below the age of 65and 150/80 mm Hg for those 65 and older. The purpose of this research is to establish the reference range of red blood cells hydroxylated (Hb A1c percent) within the (males and females) and to forecast Bp blood pressure diastolic. This means 70% to 79% of age 65- and 150/80-mm Hg for those ages 65 and older Diastolic blood pressure systolic. In this paper sampling is taken from 100andbased on data mining model, which is substitute for the decision tree calculative algorithm which one of one of the fields Artificial intelligent which analysis of appropriate decision-making can be used to visually represent decisions and processes operations prospecting.

This study was carried out to study the effect of Entamoeba histolytica infection and its impact on some blood parameter such as hemoglobin, packed cell volume (p.c.v.), cholesterol and Triglyceride (TG) among 430 patients who attended AL-Furat AL-owset Teaching hospital in Kufa city / Iraq during six month period from March and September2018. Those patients suffered from diarrhea and abdominal discomfort. The frequency of Entamoeba histolytica occurring was (70) infection out of (430, 16.3%). Among those (70) infected there were male n=32/70,45.7%, while females represented n=38/70,54.3%. The result of this study showed no significant affect in cholesterol and Triglyceride but significant decrease in Hb and pcv in comparison with control group of (30) healthy individual which was included in this study.

Secure information transmission over the internet is becoming an important requirement in data communication. These days, authenticity, secrecy, and confidentiality are the most important concerns in securing data communication. For that reason, information hiding methods are used, such as Cryptography, Steganography and Watermarking methods, to secure data transmission, where cryptography method is used to encrypt the information in an unreadable form. At the same time, steganography covers the information within images, audio or video. Finally, watermarking is used to protect information from intruders. This paper proposed a new cryptography method by using three different keys to make the system harder to break by outsider attackers (where the 1st and 3rd encryptions keys are numerical keys, while the 2nd key is string). This system is done based on seven steps; the first step is converting the plaintext based on the first generated key that leads to substitute each character in plaintext, the second step is embedding second generated key with the message that want to send, the third step is done by converting text to their equivalent ASCII format. The fourth step is converting these ASCII format to Binary numbers; then, these numbers are shifted based on the third generated key. These binary numbers are converted to ASCII, and the last step is to convert ASCII to their equivalent characters. The achieved text is the ciphertext that will be sent.

Software development seems to be on the rise, owing to growing necessity for businesses to go online. There is a push to develop upgraded applications that will help businesses become more efficient and grow. Today's software architectures include monolithic and microservices, which are both popular and powerful. For microservice architecture brings practical benefits such like scalability and flexibility, as well as being a cost-effective means of developing large applications. On the flipside, the monolithic approach is losing favor since it endangers current software delivery methodologies. In this paper, we will discuss the differences between Microservices and Monolithic Architectures, highlighting their strengths and weaknesses in each, and minding a comparative depending on selecting a simple travel application structure, which wins to be chosen as the best choice in software business world.

The COVID-19 epidemic wreaked havoc on every area of human life, with severe consequences for all sectors of the global economy. The pandemic slowed and reversed advances in health, resulting in shorter life expectancy, particularly in poor and underdeveloped countries. Machine learning and artificial intelligence, on the other hand, played a significant role in the global response to the pandemic. As a result, the current research sought to evaluate the role of artificial intelligence and machine learning in tackling the threats posed by the COVID pandemic, intelligence and machine learning had a significant part in the response to the COVID-19 pandemic's issues. Among other notable accomplishments, artificial intelligence, machine learning, and various digital communication tools through telehealth played important roles in scaling customer communications, providing a platform for understanding how COVID 19 spreads, and speeding up COVID-19 research and treatment. The takeaway is that, the role of artificial intelligence and machine learning motivates us to conclude that governments must build trust in these technologies in order to address future health issues and ensure that sustainable development goals related to good health and wellbeing are met.

Biometric systems for automated identification of an individual rely on behavioral or physiological variables linked with the individual. Biometric systems function in two modes: verification and identification. In the verification mode, a claimed identity is either denied or accepted, and in the identification mode, the identity of an unknown person is described. Multibiometric systems are used to establish an individual's identification by combining information supplied by several biometric sensors, samples, units, algorithms, or features. Multibiometric is an interesting and exciting research topic. It is used to identify people to improve security. Therefore, these systems are intended to prevent spoofing, facilitate continuous monitoring, enhance population coverage, and provide fault tolerance to biometric applications. This study proposes an identification system for the individual based on the ear and tongue pattern. Convolution Neural Network (CNN) extracts the essential features from the input images. This system is robust to noise, brightness variations and insensitive to rotation variation. The proposed method consists of four main stages (i.e., pre-processing, fusion, feature extraction, and finally, classification stage). The proposed method was tested on real datasets and achieved an average accuracy of 99.72% for all datasets.

The pre-formation factor, pre-formation probability or the amount of alpha clustering was recently and well determined using the cluster-formation model (CFM) for alpha decay nuclei. Alpha-cluster formation energy was proposed and used in this model to calculate the factor that is important to calculate the alpha decay width. A new formula for this energy was derived and its validity is investigated. This formula was successful to describe alpha clustering and it can be included in the calculation of any future work.

Increased in treats in measuring radionuclides and radon concern tractions in fly ash, cement and other components of building products is due to concern of health hazard of naturally occurring radioactive materials. The current work focuses on studying the influence of fly ash (FA) on radon – exhalation rate (radon flux) from cementations material. The tests were carried out on cement past specimens with FA content. It is found that despite the (more than 3 times, compared with Portland cement). The radon – exhalation rate was found top significantly lower in concrete containing fly ash than in ordinary concrete

RA is an autoimmune illness that is most common in women, suggesting that female hormone variations have a role in disease progression. Knowing how they affect the development of RA is clinically relevant and might help with specialized prevention initiatives in high-risk individuals. The goal of this study was to look at the relationship between menopause and inflammatory markers with RA disease progression. This is a case-control study carried out on 300 RA patients; they were diagnosed by rheumatology specialists during the period from September 2021 to January 2022 then tested for RF, CRP, ESR and ACCP. The findings revealed that 88% of patients had positive ACCP results, whereas 71% had positive RF results, and 97% had positive CRP values. The majority of rheumatoid arthritis patients 66.7% (200/300) were in their postmenopausal period, while 33.4% (100/300) were in their premenopausal stage when they were diagnosed. The findings revealed that postmenopausal RA women had more severe disease activity than premenopausal RA women, as evidenced by the elevated Das28 and ESR values, (4.63 ± 0.10) and (47.14 ± 0.69) respectively, in comparison to their lower levels (3.66 ± 0.09) and (36.12 ± 0.81) in premenopausal RA patients. Both groups, however, had elevated levels in contrast to the control group.