Abstract

  Bivariate time series modeling and forecasting have become a promising field of applied studies in recent times. For this purpose, the Linear Autoregressive Moving Average with exogenous variable ARMAX model is the most widely used technique over the past few years in modeling and forecasting this type of data. The most important assumptions of this model are linearity and homogenous for random error variance of the appropriate model. In practice, these two assumptions are often violated, so the Generalized Autoregressive Conditional Heteroscedasticity (ARCH) and (GARCH) with exogenous varia

Feed Forward Back Propagation artificial neural network (ANN) model utilizing the MATLAB Neural Network Toolbox is designed for the prediction of surface roughness of Duplex Stainless Steel during orthogonal turning with uncoated carbide insert tool. Turning experiments were performed at various process conditions (feed rate, cutting speed, and cutting depth). Utilizing the Taguchi experimental design method, an optimum ANN architecture with the Levenberg-Marquardt training algorithm was obtained. Parametric research was performed with the optimized ANN architecture to report the impact of every turning parameter on the roughness of the surface. The results suggested that machining at a cutting speed of 355 rpm with a feed rate of 0.07 m

Abstract

Financing is one of the important pillars for activating and activating the agricultural sector, through which we can see an agricultural project on the ground. However, supplying the agricultural sector with financial resources requires a credit policy that is capable of making the right financing decision, because the financial resources are limited. The credit policy, and the financing decision, must be the best use not only to provide the necessary money, but to work to provide everything that would develop and activate the agricultural sector.

The transformation of the Agricultural Cooperative Bank of Iraq from specialized banking to the overall would lead to a decrease in the volume

تعددت التعاريف اللغوية والاصطلاحية لمفهوم الفساد الإداري، ويتضح من خلال هذه التعريفات عدم وجود تعريف موحد له، إلا أنه بشكل عام يشير إلى الخروج على القانون والنظام أو استغلال المال العام لتحقيق مصالح سياسية أو اقتصادية أو اجتماعية لفرد أو جماعة معينة، مما يجعله عملًا غير أخلاقي يتميز بإساءة استعمال السلطة أو الموقع الوظيفي لمنح بعض الأفراد أفضلية على الآخرين. كما يتمثل الفساد الإداري في قيام الموظف العام با

وقائع ندوة فرع الدراسات الدولية

نشاطات فرع الدراسات الدولية

This research aims to understand the main problems and family
commitments faced by working women, and make proposals that would stop or
lessen them, the researcher made questionnaire , applied on a sample of (20)
university female teachers, the study showed that the main problems in respect to
their importance as: Anxiety of leaving children at home alone, the weak role of the
nurseries and kindergartens in taking care of the children, relative large number of
children per family which would lead to more commitments, and the unavailability
of convenient working arrangement for working mothers.

This study aimed to investigate the role of Big Data in forecasting corporate bankruptcy and that is through a field analysis in the Saudi business environment, to test that relationship. The study found: that Big Data is a recently used variable in the business context and has multiple accounting effects and benefits. Among the benefits is forecasting and disclosing corporate financial failures and bankruptcies, which is based on three main elements for reporting and disclosing that, these elements are the firms’ internal control system, the external auditing, and financial analysts' forecasts. The study recommends: Since the greatest risk of Big Data is the slow adaptation of accountants and auditors to these technologies, wh

    One of the most important problems of IRAQI HEALTH MINISTRY and all healthy instruments in IRAQ is Chronic Diseases because it  have a negative effects on IRAQI population, this is the aim of our study ,to specify the important Chronic diseases which make the population fell weakly, they are six diseases as the IRAQ ministry of health specified (  Diabetes, blood pressure diseases ,Brain diseases ,  Cardiology, Asthma, epilepsy) we got these data from IRAQI HEALTH MINISTRY ,bureau of planning and studies ,for the period 2009-2012,as monthly observations , represent sum of peoples have chronic diseases in Baghdad .

     Our research obj

Heart disease is a significant and impactful health condition that ranks as the leading cause of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases, clinical datasets are available for reference. However, with the rise of big data and medical datasets, it has become increasingly challenging for medical practitioners to accurately predict heart disease due to the abundance of unrelated and redundant features that hinder computational complexity and accuracy. As such, this study aims to identify the most discriminative features within high-dimensional datasets while minimizing complexity and improving accuracy through an Extra Tree feature selection based technique. The work study assesses the efficac