The research aims to highlight on the behavioural approach in accounting, and clarify the behavioural implications of the main activities of accounting, and clarify the concept of information inductance within the framework of the behavioural approach and its impact on preparing financial statements. And that the impact of financial information on the behaviour of investment decision-makers, and to achieve the goals of the research, the researcher prepared a questionnaire according to Likert five-step scale, and he took into consideration in preparing it in line with the characteristics of the study community, and that the target community for this questionnaire is the investors in the Iraq Stock Exchange. The researcher reached a set of conclusions and recommendations, and the most important conclusions are the following: There is a significant effect of the behavioural implications of information on the selection of accounting methods, and There is a significant effect of the accounting methods on the investors ’decisions with the presence of the behavioural implications of the information, and If the accountant anticipates the results of using the information, he may lead it and before communicating any information, and therefore even before any results appear, he chooses to change the information, his behaviour or even his goals, and It is possible to predict the behaviour of individuals and guide this behaviour in an appropriate way by providing the appropriate information in the decision-making process, and By being aware of the users ’reactions to the accounting methods, the accountant can use the preferred alternative accounting methods for them. Either the most important recommendations are: The need to take account of the preparers of accounting information behavioural aspects, and take the reaction of users to accounting information in consideration when performing accounting work, and choose accounting methods, and The need to pay attention to the information provided to investors, which helps them in making investment decisions, and to provide this information periodically and systematically and provide it with the speed and accuracy possible, and work to provide the appropriate information in terms of quantity, type and time in order to facilitate proper investment decision-making
The gas material balance equation (MBE) has been widely used as a practical as well as a simple tool to estimate gas initially in place (GIIP), and the ultimate recovery (UR) factor of a gas reservoir. The classical form of the gas material balance equation is developed by considering the reservoir as a simple tank model, in which the relationship between the pressure/gas compressibility factor (p/z) and cumulative gas production (Gp) is generally appeared to be linear. This linear plot is usually extrapolated to estimate GIIP at zero pressure, and UR factor for a given abandonment pressure. While this assumption is reasonable to some extent for conventional reservoirs, this may incur
Anemia in pregnancy can considerably elevate the maternal mortality risk and can negatively distress the development of fetus.
To assess the association between neonatal outcomes and maternal anemia (MA) among pregnant women (PW).
The present work is a clinical prospective one performed at Al-Elwiya Maternity
This paper aims to propose a hybrid approach of two powerful methods, namely the differential transform and finite difference methods, to obtain the solution of the coupled Whitham-Broer-Kaup-Like equations which arises in shallow-water wave theory. The capability of the method to such problems is verified by taking different parameters and initial conditions. The numerical simulations are depicted in 2D and 3D graphs. It is shown that the used approach returns accurate solutions for this type of problems in comparison with the analytic ones.
Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s
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