Journal Of AL-Turath University College

The auxiliary verb is necessary in aiding the verb in performing its action in a sentence. The tense and the type of the subject are clarified by the helping verb or auxiliary. It is indispensible in the sense that it is very important and plays an integral role in the meaning and structure of the sentence. This paper attempts to compare the meaning and usage of the auxiliary in both languages English and French. The study mainly focuses on the French auxiliary its meaning and its application. The case study follows different examples of auxiliaries in sentences of both English and French.

The current research aims to evaluate the occupational health and safety systems in Al-Yarmouk Teaching Hospital because of their vital role in serving the citizen and community service, in addition to that, it aims to analyze the gap between the actual reality of this hospital and the requirements of the standard of the International Standards Organization (ISO45001: 2018).
The research problem was diagnosed through the main question (what is the availability of a system for occupational health and safety management in Yarmouk Teaching Hospital? Does it meet the requirements of the international standard ISO 45001: 2018?). In order to achieve the objectives of the research, the case study approach was relied on and a special checklist was prepared for this purpose to answer the questions raised in the research problem, which were prepared based on the standards approved in the research. Statistical methods (weighted arithmetic mean, percentage, gap measurement) were used to express the extent of difference and conformity with the requirements of the standard. As for the most prominent findings of the researcher, it is the existence of gaps between the actual reality and the requirements of the occupational health and safety management system according to the standard (ISO 45001: 2018) in the hospital, the field of research.

The research aims to show the impact of the application of accounting rules, including accounting rule No.(14) on the financial statements, including the paragraph on the unexpected decline in the value of long-term financial investments, and this rule was applied to the financial statements (statement of financial position and production, trading, profit, loss and distribution account) for the Iraqi Date Processing & Marketing Co. (Tomoor) of 2019.
The research reached a set of results, the most important of which is the lack of commitment by the company under research to the accounting rules issued by the Iraqi Board of Accounting and Auditing Standards (IBAAS), the lack of a feasibility study for the company when entering the stock market, the inefficiency of the employees in the Control and Internal Audit Department and the Finance Department (accounts) and many of them do not have sufficient academic qualifications to work in the above two sections.
The research concluded with a set of recommendations, the most important of which is that the company’s management should rehabilitate and develop the employees in the Control and Internal Audit Department and the Finance Department (Accounts), the company’s management should seek the assistance of people with expertise when entering into investment in the future, the company’s management should adhere to complete transparency by disclosing the amount of expected losses By entering into financial investments, which helps users of financial statements to analyze and study these statements well in order to make the necessary decisions.

In an age where exchanging electronic documents, monitoring bank balances, electronic trading and paying bills are crucial to humanity, beside of sharing information and communication with each other, To overcome this difficulty, data must be transmitted across communication networks in a safe and quick manner with immunity to technical breakthroughs, With the expansion in the utilization of the Web and multimedia , so does the demand for security approaches that aim to protect data and digital information. Steganography is a science that uses various multimedia, including audio, text, image, and video, as well as the TCP/IP protocol, as a transporter for secure information move through the web , In the paper a technique was proposed for steganography relying upon the book cipher involving pictures as encryption keys rather than a book or piece of text joined with ACSII mapping technology , the outcome will be an encoded table made by parting text and matching bits with that of the encryption key (the image), The suggested method keeps the picture quality unaltered and the outcomes show its solidarity and low computational expense

The kidneys naturally control the secretion of thyroid hormones and control metabolism and decay. Chronic kidney disease leads to many relapses and complications in the body, including hypothyroidism, hyperlipidemia, and cardiovascular disease. The aim of the current study is to examine thyroid hormones for people with chronic kidney disease. To detect thyroid dysfunction by the ichroma2 device. This study included 40 people with chronic kidney disease and 40 people without kidney disease who attended Al-Yarmouk Teaching Hospital. Blood was drawn from all people with chronic kidney disease and from normal people who did not have the disease. Chronic kidneys in order to measure urea, protein, creatinine, albumin, and (T3, T4, TSH). The results of this study showed a significant increase in the levels of urea, protein, creatinine, and albumin (TSH, T4, T3) for people with chronic kidney disease compared to normal people who do not have kidney disease. We conclude from this study that people with kidney disease have an overactive thyroid gland

Divorce is a complex and emotionally charged process that can have significant impacts on individuals, families, and society as a whole. In recent years, researchers have turned to machine learning as a tool for predicting divorce and identifying couples at risk of marital dissolution. In this survey, we examine the current state of research on divorce prediction using machine learning and highlight key findings and trends.We survey several studies that have used machine learning algorithms to predict divorce, including studies that used features such as demographic information, social media activity, and psychological traits. Our review suggests that machine learning algorithms have the potential to accurately predict divorce, and that using a combination of algorithms can improve accuracy even further. However, the quality of data used for divorce prediction models is crucial, and feature selection is critical for accurate predictions.We also identified several areas for future research, including developing more transparent and interpretable machine learning models, and developing effective interventions to support couples at risk of divorce. Our study shows how machine learning has the potential to help us better understand the reasons that lead to divorce and to find couples who might benefit from focused treatments. To fully utilize the potential of these algorithms and create efficient interventions to avoid divorce and support couples in distress, more study is necessary.

This research aims at examining and explore how Simon Armitage and Carol Ann Duffy make use of irony and satire in their poetry. The selected poems by Armitage are: \\\\'Kid\\\\', \\\\'Killing Time\\\\', and \\\\'Thank you for Waiting\\\\' whereas the chosen poems by Carol Ann Duffy are: \\\\'The Little-Red Cap\\\\', \\\\'Mrs. Midas\\\\', and \\\\'Anne Hathaway\\\\'. Throughout analyzing these selected poems, it is proven that both authors used irony and satire in their works for literary purposes. The analytical approach is used in this article employing comparison and analysis methods.

As networks continue to develop, more information is being transmitted online, including multimedia content like images, videos, and other visual media types. These details must be protected using encryption algorithms because they might be sensitive. Encryption procedures have grown more difficult and expensive as a result of the growth in data volume and complexity of visual information. Encryption methods can be applied in a parallel computing environment to increase encryption efficiency and shorten execution time. It is possible to encrypt different portions of a video at once by dividing the encryption process among a number of parallel operations. Parallel video encryption can offer quicker encryption speeds by utilizing the power of parallel processing, making it appropriate for real-time applications or scenarios involving large video collections. In areas like video surveillance, secure video streaming, or protecting video content, it enables the effective use of computational resources. In general, using parallel video encryption is a promising way to secure video data because it combines the power of parallel processing with encryption methods, improving encryption performance and increasing video security. This research paper presents a comparative analysis of innovative video encryption algorithms. These algorithms are judged according to standards like perceptual performance of encryption and decryption, error rates and quality, level of security, and compatibility with common video formats. Significant contributions have been made by earlier studies in the field. Incorporating a variety of innovative algorithms, researchers have created a number of techniques, including permutation-based pixel encryption, chaotic mapping, and partial video encryption. Peak signal-to-noise ratio, correlation coefficients, and error rates are a few examples of the measurements used to assess these algorithms\\' performance. Furthermore, some algorithms exhibit adaptability by observing the established video compression standards and preserving the size and format of the original data.

Object detection is a basic problem of machine vision and deep learning, Pedestrian detection is a specific application of the object detection problem, and it has become one of the research hotspots in recent years. In the past many techniques have been proposed to Pedestrian detection is a specific application of object detection. However, the variations in images such as body attire and pose, occlusion, different illumination parameters in different scenarios and clutter present in the background poses challenges in attaining high accuracy. This paper provides a review of some well-known existing techniques for pedestrian detection in a multi-spectral method via image fusion and convolutional neural networks.

The profiled composite slab (PCS) is a composite structure element consisting of profiled steel sheet (PSS) in filled with concrete in the troughs and connected using studs. The PCS like any other structural members, may need upgrading or strengthening for various reasons such as to carry extra loads and there is very limited studies examine strengthen the PCS. So, due to the limited studies on the strengthening technique of the PCS, this study investigate the positive effect of strengthened the PCS with CFRP as an upgrading, strengthening or repairing to carry extra load. Then, a parametric study was generated to cover the effect of the CFRP length on the flexural load behaviour of the PCS.
The ultimate flexural load for the FE models was equal to 130, 137 and 149 kN, respectively, for PCS-CFRP-L(50), PCS-CFRP-L(75) and PCS-CFRP-L(100). The FE results, proved that using CFRP as a strengthen technique for the PCS system has positive effect with different lengths.