Artificial intelligence (AI) offers significant benefits to biomedical research and academic writing. Nevertheless, using AI-powered writing aid tools has prompted worries about excessive dependence on these tools and their possible influence on writing proficiency. The current study aimed to explore the academic staff’s perspectives on the impact of AI on academic writing. This qualitative study incorporated in-person interviews with academic faculty members. The interviews were conducted in a semi-structured manner, using a predetermined interview guide consisting of open-ended questions. The interviews were done in person with the participants from May to November 2023. The data was analyzed using thematic analysis. Ten academics aged 41 to 59 years participated in this study. The majority had assistant professor degrees. Most of the participants did not trust the ability of AI to write an accurate scientific article because it can provide inaccurate results and/or improper citations. Regarding the concerns about the usage of AI in academic writing, most participants had negative perceptions, and they believed that AI would diminish students' writing skills. Most participants reported the impossibility of AI being the sole author of scientific articles; instead, it can just support humans in academic writing. Students could use AI to obtain scientific information, get some research ideas, improve writing by reducing grammatical errors, and save students time in writing. To get benefits from AI in academic writing, The faculty members agreed on the necessity of issuing legislation about the usage of AI by the Ministry of Higher Education or the University. Additionally, all agreed on the necessity of conducting workshops to teach staff about AI. Finally, we can conclude that AI could potentially play a beneficial role in academic writing. However, most academic faculty express concerns about their students relying only on these tools, which may result in dependency and a decline in writing proficiency. It is crucial to develop regulations and conduct workshops to educate staff about AI and its utilization by the Ministry of Higher Education or the University.
The study aims to highlighting the Creative Accounting practices, identifying their impact on non reliability of financial statement of Insurance companies and Iraqi Public Reinsurance Company. Certain executive managements resort to creative accounting to falsely portray a better image to financial statement users by means of a set of techniques and mechanisms. Thus, impacting the company activities, The study was carried out in state insurance companies and Iraqi Public Reinsurance Company. Miller model is adopted to measure earning management practices. It is one of the tools to detect creative accounting practices and to measure reliability of accounting information of financial statements by applying “White” scale on
... Show MoreThis study aims to apply the theory of "Text from Text and the Plus Dimension" in the analysis of the Prophetic discourse found in the section on the virtues of knowledge and scholars from Imam Sahih al-Bukhari's book. This section covers several topics, including the virtue of gathering for the sake of learning, the superiority of a scholar over a worshipper, the excellence of jurisprudence in the religion of Allah, the acquisition of knowledge through the passing away of scholars, the merit of inviting people to Allah, the continuing benefit of beneficial knowledge after a scholar's demise, the warning against seeking knowledge for purposes other than Allah, and the Prophet seeking refuge from knowledge tha
... Show MoreThe issue of measurement of operational efficiency and productivity plays a major role in determining the weakness of the company, especially in relation to the productive processes, and thus starting to address these points and improve their performance. Hence the problem of research on how to determine the constraints in the production process, to identify weaknesses in the company. The research aims to clarify the role of throughput accounting in measuring the operational efficiency of the company in addition to clarify some of the constraints and causes behind them. The study concluded a set of conclusions, the most important of which is the availability of throughput accounting indicators that help in measuring operational efficienc
... Show MoreResearching the effects of the research and technological development contract, determining its extent and demarcating the boundaries of the obligations imposed in it, is the cornerstone of economic growth and development, because defining these obligations removes the ambiguity and conflict between interests, by stating the rights owed to each party and even trying to reconcile them, or impose protection by specifying guarantees that are compatible with the essence of the R&D contract, For the purpose of studying the subject thoroughly, we will divide this research into two sections. The first is devoted to identifying the parties to the research and technological development contract. As for the other topic, we will explain the obligation
... Show MoreThis study aimed to know the impact of the capital structure measured by the ratio of financing to short-term capital and the ratio of financing to long-term capital on the profitability of companies, as measured by the rate of return on assets and the rate of return on equity. The study was applied to industrial sector companies listed in the Iraq Stock Exchange. The financial number of (14) companies, and (4) companies were selected that met the conditions for selecting the study sample. The study methodology relies on the analytical method as it is more appropriate to the nature, scope and objectives of the study, and the ready-made statistical program "SPSS" will be used to analyze the relationships and influence between the
... Show MoreArtificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le
... Show MoreArtificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le
... Show MoreThis study aimed to explain the criteria of managers at different levels of nursing in selecting effective nursing diagnosis.
In conventional content analysis, 10 nursing managers at different levels including head nurse, supervisor, and nursing manager were interviewed. Data was collected with semi-structured interviews and a narrative approach. Data analysis was performed using the Zhang–Wildemuth method simultaneously with sampling.