JOURNAL OF MADENAT ALELEM COLLEGE

Most of the world\'s countries have seen the 2019 coronavirus disease (COVID-19) spread quickly. The globe has been dealing with a global health crisis since 2019. To combat COVID-19, automated identification of lung infections is essential. It is known that the most recent coronavirus originated in the Chinese city of Wuhan. It is a novel coronavirus that poses a risk to humans and was identified for the first time in December 2019, according to the World Health Organization (WHO). The bi-branch feature fusion network topology suggested by this study is built on Transformer modules and Convolutional Neural Network modules. When using CT scans for COVID-19 classification, it performs well; the classification accuracy is 97%.

The purpose of this paper is inspecting the flexural performance of Profiled Steel Sheeting Dry Board (PSSDB) floor system. A lightweight composite slab consists of a steel deck connected to a dry board using self-tapping and self-drilling screws. The study employed Finite Element (FE) modelling using ABAQUS software. The results were validated with experimental ones, and it has demonstrated the adequacy of the FE model to simulate the performance of the floor panel. Thereafter, three parametric studies were suggested in order to understand the influencing parameters. It is shown that the depth of the dry board can improve the load capacity by no more than 7.5%, while the thickness of steel deck has an enhance it by up to 65%. Finally, it was established that the type of profiled steel sheeting can affect the stiffness and load capacity by up 18%.

Amygdalin (d-Mandelonitrile 6-O-β-d-glucosido-β-d-glucoside) and its semi synthetic product is Laetrile ( also called vitamin B17): a natural cyanogenic glycoside occurring in the seeds of some edible plants, such as bitter almonds and peaches. Early in the 19th century, Amygdalin was first isolated in 1830 by two French chemists, Robiquet and Boutron-Charlard, as active components in various fruit pits and raw nuts. However, the systematized study of vitamin B17 started when chemist Bohn (1802) discovered that a hydrocyanic acid is released during distillation of the water from bitter almonds. The various pharmacological effects of Laetrile include anti-atherogenic, activity in renal fibrosis, pulmonary fibrosis, immune regulation, anti-tumor, and anti-inflammatory activities. Despite numerous contributions to the cancer cell lines, the clinical evidence for the anti-cancer activity of Amygdalin is not fully confirmed. Moreover, high dose exposures to Amygdalin can produced cyanide toxicity. In the presented work, pharmacological activity, antitumor activity, and toxicity of Amygdalin have been summarized, focusing primarily on advanced research on Amygdalin and its anti-tumor effects, providing fresh perspectives for the creation of new anti-cancer drugs, the examination of natural antitumor mechanisms, and the search for new targets.

The current research aims to design a smart learning environment based on the two types of e-learning (synchronous and asynchronous) and reveal its impact on students\' acquisition of computer application skills by verifying two hypotheses.

The first states that (there is a statistically significant difference at the level of significance (0.05) between the average scores of the students of the first experimental group who study according to a smart learning environment based on synchronous electronic learning and the control group students who study according to a smart learning environment based on asynchronous e-learning in the theoretical computer applications test)

The second states that (there is a statistically significant difference at the level of significance (0.05) between the average scores of the students of the first experimental group who study according to a smart learning environment based on synchronous e-learning and the students of the control group who study according to a smart learning environment based on asynchronous e-learning in the practical computer applications test)

The research community has been chosen by the law department students at the University of Science. A semi-experimental design was employed with the experimental and control groups, and randomly, group (A) was chosen to be the first experimental group and group (B) to be the second experimental group, with (20) students for each group. A smart learning environment based on synchronous and asynchronous e-learning, preparing the necessary requirements, such as establishing an educational platform and providing various digital learning resources and teaching plans. A test was built to measure theoretical achievement, and a note card to measure practical achievement.

The study experiment lasted twelve weeks and was conducted during the first semester of the academic year 2021–2022. After teaching the whole curriculum, the two groups completed an in-person theoretical and practical accomplishment exam. Students in the first experimental group did better on the theoretical and practical accomplishment exam than students in the second experimental group, according to statistical data analysis using the t-test for two independent samples.

Acute Myeloid Leukemia (AML) is a heterogeneous hematological malignancy characterized by diverse subtypes and variable CD marker expressions. This study aimed to analyze the gender distribution, disease activity subtypes, and prevalence of CD markers in AML patients across different stages. A total of 160 participants were categorized into Control, Newly Diagnosed, Treated, and Relapsed groups. Blood samples were analyzed using flow cytometry for CD markers. Our findings revealed that the M2 subtype was the most prevalent among the Newly Diagnosed group. CD33 and CD13 were the most expressed markers across all stages. Notably, CD79A, CD10, and CD3 were absent in all AML subtypes. The study underscores the significance of CD markers in AML diagnosis, prognosis, and therapeutic targeting, emphasizing the disease\'s complexity and the need for personalized treatment approaches.

Biometric features have recently been used for security, which has led to their widespread use. However, they can be threatened, faked, lost, or hacked. Recently, the ECG has been employed as a biometric tool, and it may be better suited because it contains precise, private, and secret information about the patient. The person\'s identity was safeguarded and protected, and the ECG was utilized to identify him and prevent information violations. ECG identification has a lot of benefits and high accuracy, but it can also be affected by interference and noise in the ECG signals. This paper presents a few typical electrocardiogram measurement techniques and provides a comprehensive overview of electrocardiograms.

The aim of the current research is to design a model to evaluate e-learning compared to formal education in Iraqi universities from the beneficiaries\' point of view, identify the advantages and disadvantages of e-learning, and propose a design for blended learning based on the results of this study.

By verifying the hypothesis, the research sample of Iraqi university students\' attitudes about e-learning was surveyed, and the factor analysis of the correlation coefficients between the questionnaire questions revealed one general component and many collective factors regarding the benefits and drawbacks of e-learning. The research sample consisted of (100) teachers and (200) students from five Iraqi universities.

A questionnaire consisting of (30) items was used to identify the opinions of the research sample regarding e-learning and traditional education. The data was analyzed using the rotation of factors using the Varimax Method.

The results showed eight dimensions around which the negatives and positives of electronic and traditional education revolve.

Based on the results, the researchers proposed a new model for blended learning that can be used in Iraqi universities according to their available capabilities.