The Alignment Between Business Objectives Clarity and Software Objectives

This paper aims to highlight a very important concept and plays a key role in the success of software development, which is the alignment between business objectives and software objectives. In this research we refer to most of the literature that dealt with this subject. The researcher designed a questionnaire and conducted field interviews with software project managers. This study concluded with a set of recommendations and found that the alignment between business objectives and software goals plays a prominent role in software development and has a positive impact on the success of the software. Keywords: business objective, software objective, software development, alignment DOI: 10.7176/CEIS/10-2-04 Publication date:March 31st 201

The use of accounting information systems in analytical procedures for the audit process, from the point of view of internal and external audit in the public sector (a case study of public universities)

This study sought to measure and assesses the use of accounting information systems in analytical procedures for the audit process, from the point of view internal and external audit in the public sector (a case study of public universities) and their role in promoting evidence in the audit results and its availability in Jordanian public universities, as well as to determine the extent of the use of analytical procedures in the audit process, from the point of view of both the internal in observation and auditing services workers at Jordanian universities and external auditors for these universities and how consensus the study sample answers in answering the study questions. Researchers have developed a study tool (questionnaire) based on the conceptual framework and previous studies, (100) questionnaire were distributed on a sample of the population of the study which is consisted of the internal observation units services workers in Jordanian public universities and external auditors for these universities. Using appropriate statistical analysis tools for the study data (arithmetic means, standard deviations and One way ANOVA). It was concluded that there are no significant statically differences between the views of the internal observation services staff in public universities and external auditors for these universities on the importance of using analytical procedures in auditing ? There are no significant differences between the views of the two sample study for these universities to the auditors use of analytical procedures in audits, and the study showed that the use of analytical review methods was moderate by internal and external auditors, while the advanced analytical review methods are used less ? Because they need the skills of statistical analysis, the study also revealed that there are obstacles limiting the use of analytical procedures in the field of work, and most of these obstacles are the absence of clear criteria for analytical procedures issued by the INTOSAI Organization and the organizers of the audit profession, lack of skills in the field of analytical measure. Although the constraints that limit the application of analytical procedures did not have any statistically significant and material impact on increasing the efficiency of the audit performance. In the light of the analysis results the researchers presented a set of recommendations that they consider them necessary to improve and strengthen the evidence in the audit results and availability in Jordanian public universities, as well as to determine the extent of the use of analytical procedures in the audit process, and reduce the risk of control to gain an understanding of the business and its environment. Key Words: Accounting Information Systems, Internal auditing, External auditing

The use of accounting information systems in analytical procedures for the audit process, from the point of view of internal and external audit in the public sector (a case study of public universities)

This study sought to measure and assesses the use of accounting information systems in analytical procedures for the audit process, from the point of view internal and external audit in the public sector (a case study of public universities) and their role in promoting evidence in the audit results and its availability in Jordanian public universities, as well as to determine the extent of the use of analytical procedures in the audit process, from the point of view of both the internal in observation and auditing services workers at Jordanian universities and external auditors for these universities and how consensus the study sample answers in answering the study questions. Researchers have developed a study tool (questionnaire) based on the conceptual framework and previous studies, (100) questionnaire were distributed on a sample of the population of the study which is consisted of the internal observation units services workers in Jordanian public universities and external auditors for these universities. Using appropriate statistical analysis tools for the study data (arithmetic means, standard deviations and One way ANOVA). It was concluded that there are no significant statically differences between the views of the internal observation services staff in public universities and external auditors for these universities on the importance of using analytical procedures in auditing ? There are no significant differences between the views of the two sample study for these universities to the auditors use of analytical procedures in audits, and the study showed that the use of analytical review methods was moderate by internal and external auditors, while the advanced analytical review methods are used less ? Because they need the skills of statistical analysis, the study also revealed that there are obstacles limiting the use of analytical procedures in the field of work, and most of these obstacles are the absence of clear criteria for analytical procedures issued by the INTOSAI Organization and the organizers of the audit profession, lack of skills in the field of analytical measure. Although the constraints that limit the application of analytical procedures did not have any statistically significant and material impact on increasing the efficiency of the audit performance. In the light of the analysis results the researchers presented a set of recommendations that they consider them necessary to improve and strengthen the evidence in the audit results and availability in Jordanian public universities, as well as to determine the extent of the use of analytical procedures in the audit process, and reduce the risk of control to gain an understanding of the business and its environment. Key Words: Accounting Information Systems, Internal auditing, External auditing

Performance Evaluation of an Intelligent and Optimized Machine Learning Framework for Attack Detection

In current decades, the size and complexity of network traffic data have risen significantly, which increases the likelihood of network penetration. One of today's largest advanced security concerns is the botnet. They are the mechanisms behind several online assaults, including Distribute Denial of Service (DDoS), spams, rebate fraudulence, phishing as well as malware attacks. Several methodologies have been created over time to address these issues. Existing intrusion detection techniques have trouble in processing data from speedy networks and are unable to identify recently launched assaults. Ineffective network traffic categorization has been slowed down by repetitive and pointless characteristics. By identifying the critical attributes and removing the unimportant ones using a feature selection approach could indeed reduce the feature space dimensionality and resolve the problem.Therefore, this articledevelops aninnovative network attack recognitionmodel combining an optimization strategy with machine learning framework namely, Grey Wolf with Artificial Bee Colony optimization-based Support Vector Machine (GWABC-SVM) model. The efficient selection of attributes is accomplished using a novel Grey wolf with artificial bee colony optimization approach and finally the Botnet DDoS attack detection is accomplished through Support Vector machine.This articleconducted an experimental assessment of the machine learning approachesfor UNBS-NB 15 and KDD99 databases for Botnet DDoS attack identification. The proposed optimized machine learning (ML) based network attack detection framework is evaluated in the last phase for its effectiveness in detecting the possible threats. The main advantage of employing SVM is that it offers a wide range of possibilities for intrusion detection program development for difficult complicated situations like cloud computing. In comparison to conventional ML-based models, the suggested technique has a better detection rate of 99.62% and is less time-consuming and robust

SIMVASTATIN TREATMENT AMELIORATES DIABETIC TYPE 2 CONDITIONS THROUGH LOWERING THE CONCENTRATION OF PLASMA ICAM LEVELS

Diabetes type 2 is associated with other diseases including cardiovascular diseases. Obesity is a link between diabetes and cardiovascular diseases and associated with insulin resistance. Statins are used to reduce lipids and to lower the risk of cardiovascular diseases. The objective of the present study was to explore the effect of statin treatment on plasma levels of ICAM among diabetics. The study design was a prospective cohort clinical study. The study included 62 diabetic patients who were recruited from the Diabetes/Endocrine Clinics of the Prince Rashed Hospital. Data were collected from participants through a prepared questionnaire and laboratory findings of lipid profiles, glucose and ICAM levels. Study findings showed no significant variations between study and control groups at baseline level. At the end of the experiment, in study group, there were significant changes in some biochemical parameters such as ICAM level (p=0.005), cholesterol (0.019), and TG (0.025). The mean difference of study and control groups showed that significant variations were observed for the following variables ICAM (p<0.005), cholesterol (p=0.008), TG (p<0.005), and HDDL (p<0.005). Taken together, the present study showed that simvastatin therapy benefits diabetic patients even without hyperlipidemia through decreasing levels of ICAM-1, which have an inflammatory action and increase insulin resistance. It can be concluded that simvastatin is insulin sensitizer and works as anti-inflammatory agent

SIMVASTATIN TREATMENT AMELIORATES DIABETIC TYPE 2 CONDITIONS THROUGH LOWERING THE CONCENTRATION OF PLASMA ICAM LEVELS

Diabetes type 2 is associated with other diseases including cardiovascular diseases. Obesity is a link between diabetes and cardiovascular diseases and associated with insulin resistance. Statins are used to reduce lipids and to lower the risk of cardiovascular diseases. The objective of the present study was to explore the effect of statin treatment on plasma levels of ICAM among diabetics. The study design was a prospective cohort clinical study. The study included 62 diabetic patients who were recruited from the Diabetes/Endocrine Clinics of the Prince Rashed Hospital. Data were collected from participants through a prepared questionnaire and laboratory findings of lipid profiles, glucose and ICAM levels. Study findings showed no significant variations between study and control groups at baseline level. At the end of the experiment, in study group, there were significant changes in some biochemical parameters such as ICAM level (p=0.005), cholesterol (0.019), and TG (0.025). The mean difference of study and control groups showed that significant variations were observed for the following variables ICAM (p<0.005), cholesterol (p=0.008), TG (p<0.005), and HDDL (p<0.005). Taken together, the present study showed that simvastatin therapy benefits diabetic patients even without hyperlipidemia through decreasing levels of ICAM-1, which have an inflammatory action and increase insulin resistance. It can be concluded that simvastatin is insulin sensitizer and works as anti-inflammatory agent

Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-Adjusted life-years for 29 cancer groups, 1990 to 2017 : A systematic analysis for the global burden of disease study

Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-Adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care. © 2019 American Medical Association. All rights reserved.Peer reviewe

The Impact of Information System Design Quality on E-Learning Systems Performance

Advanced technology-based educational practices have emerged as a constructive growth trend in the sustainable educational market. As a result, using informational communication practices in a developed market has resulted in better communicative approaches during the global pandemic situation. Creating engaging content in the educational process empirically ensured the student engagement level. This research aims to identify the impact of information systems on quality emergence aspects in e-Learning system performance. Furthermore, understanding the scope of the education process using e-Learning systems, identifying the impact of information systems on quality design in the e-Learning platform, and evaluating the advantages and disadvantages of the e-Learning platform. The Technology Acceptance Model (TAM) has been used for quality assurance and sustainable growth development in educational practices. Advanced information system design with proper monitoring approaches has improved the situation. A model is proposed to illustrate the relationship between information systems design and e-learning performance. The higher the level of quality in information system design, the higher the level of performance of the e-learning system, and thus the higher the degree of learning quality output