Harnessing deep learning algorithms to predict software refactoring

During software maintenance, software systems need to be modified by adding or modifying source code. These changes are required to fix errors or adopt new requirements raised by stakeholders or market place. Identifying thetargeted piece of code for refactoring purposes is considered a real challenge for software developers. The whole process of refactoring mainly relies on software developers’ skills and intuition. In this paper, a deep learning algorithm is used to develop a refactoring prediction model for highlighting the classes that require refactoring. More specifically, the gated recurrent unit algorithm is used with proposed pre-processing steps for refactoring predictionat the class level. The effectiveness of the proposed model is evaluated usinga very common dataset of 7 open source java projects. The experiments are conducted before and after balancing the dataset to investigate the influence of data sampling on the performance of the prediction model. The experimental analysis reveals a promising result in the field of code refactoring predictio

Using the Canonical Correlation Analysis Method to Study Students’ Levels in Face-to-Face and Online Education in Jordan

The study aims to identify the existing correlations between the two sets of variables by finding the linear combinations of the two sets of variables with the highest correlation and test the strength of the relationship between the levels of students face-to-face education and online business students at Al-Balqa Applied University by using the canonical correlation test, The study was applied to a sample of students from Al-Balqa Applied University, specifically the faculty of Business, and for the purposes of analysis and extraction of results, (SPSS ver.26), and (Stata graphics ver.11) programs were used. The study reached the following results the first, second, and third Canonical correlations are statistically significant at the level of significance (α ≤ 0.05), and the first, second, and third canonical correlation between canonical variables independents and dependents is equal (0.98, 0.965, 0.907) respectively, and the variance explained between independent and dependent canonical variable is equal (93.24%, 4.7%, 2.047%) for first, second, and third Canonical correlations respectively. The study recommends using the canonical correlation to evaluate Jordans experience in online education in schools and universities

Prevalence of Food Insecurity among Women in Northern Jordan

Food insecurity—not having sufficient quantities of good-quality foods—is inversely related to physical and mental health and directly related to poor dietary intake. The objectives of this research were to (a) measure the prevalence of food insecurity among women in northern Jordan, (b) study the socioeconomic factors associated with an increased risk of food insecurity, and (c) investigate the relationship between household food insecurity and women's reported body-weight. This cross-sectional study was conducted using an interview-based questionnaire. In total, 500 women were interviewed in the waiting rooms of the outpatient clinics of two major public hospitals in northern Jordan. Food insecurity was assessed using the short form of the U.S. food security survey module. The prevalence of food insecurity was 32.4%. Income below the poverty-line, illiteracy, unemployment, rented housing, and woman heading the household were among the socioeconomic factors that increased the probability of food insecurity. No evidence was found to support the relationship between obesity and food insecurity. Except grains, food-insecure women with hunger had lower intake of all food-groups. This study demonstrated that the problem of food insecurity is present in Jordan. Food-insecure women with hunger are at a risk of malnutrition. Interventions that target reduction of the factors associated with food insecurity are necessary

Investigation into the prophylactic and therapeutic activity of coenzyme Q10 against COVID-19

Purpose: To evaluate the anti-SARS CoV-2 effect of Coenzyme Q 10, Ubiquinol-10, and idebenone, which have beneficial therapeutic applications against diverse virus types, using molecular docking approach.Methods: The potential activity of Coenzyme Q10, Ubiquinol-10, and Idebenone against viral infections was explored through the collection of data from relevant literature, and by modelling these compounds virtually, using in silico investigation methods.Results: Coenzyme Q10 and ubiquinol-10 showed significant docking performance. They interacted with numerous amino acid residues of the main protease of SARS-CoV-2 ACE2 (7C8J), Alpha thrombin (1AE8), TYRO (4TS1) protein targets sides, SARS-coronavirus Orf7a accessory protein (1XAK), TNF (1RJ8), and Cytokine/receptor (1I1R).Conclusion: The findings of our study showed promising inhibitory activities of the selected compounds against the main proteases of SARS-CoV-2. Consequently, these compounds have theoretical effects on inhibiting the viral entry, reproduction, and ultimately the prevention and/or treatment of the SARSCoV2 infection

The effect of digital marketing capabilities on organizational ambidexterity of the information technology sector

The aim of the study was to examine the impact of digital marketing capabilities on organizational ambidexterity by focusing on the Information Technology Sector in UAE. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a purposive sample of managers at different levels via email. This study was conducted structural equation modeling (SEM) to test the hypotheses, which represents a contemporary statistical technique for testing and estimating the relationship between factors and variables. The results showed that the highest impact on organizational ambidexterity was for strategic approach and data content infrastructure, followed by integrating customers with employees, and finally the lowest impact belonged to the process of improving performance. Based on the study findings, the researcher hopes that the decision-makers and managers define all tasks, roles and work procedures in companies through digital marketing systems to improve their organizational ambidexterity and enhance their performance

أحكـام ديـون الميـت وحقــوق دائنيــه – دراسة فقهية قانونية مقارنة – The Provisions of Dead Person\u27s Debt and His Creditors\u27 Rights - A Comparative Jurisprudence Legal Study

ملخص إنّ أحكام ديون الميت وحقوق دائنيه من المسائل المهمة في أيامنا هذه؛ فموضوعات الحق والميراث والديون من الموضوعات التي أشغلت الحيز الأكبر من جهد الفقهاء والعلماء ورجال القضاء والقانون، حيث يُعد موضوع قضاء ديون الميت من الأهمية، وجعل ترتيبه في المرتبة الثانية من الحقوق الثابتة بالموت. وجاءت هذه الدراسة؛ لتبين مفهوم علمي الميراث والتركة وأهميتهما في الإسلام، ثم جاء بيان الحقوق المتعلقة بالتركة، وحق الورثة، وانتهاء شخصية المتوفى القانونية، وآلية حماية ديون أصحاب الحقوق، وآلية إثبات الديون على التركة، وحقوق الغرماء، ومدى استقلالية شخص الوارث عن شخصية المورث تجاه الدائن، وحماية ديون الغرماء. وقد توصلت الدراسة إلى مجموعة من النتائج منها أن كل وارث ملزم بتسديد نسبة الدين للدائن بنفس نسبة ما آل إليه من التركة، وأن الديون لها أثرها على قسمة التركة، وأن موت المدين له أثره على الدين المؤجل. كما توصي الدراسة بضرورة العمل على استحداث تشريعات خاصة بأحكام ديون الميت، مع ضرورة إيجاد مذكرة إيضاحية لهذه التشريعات وتفسير القرارات القضائية. The Provisions of Dead Person\u27s Debt and His Creditors\u27 Rights - A Comparative Jurisprudence Legal Study Abstract The provisions on the debt of the deceased and the rights of his creditors are important issues today. The issues of right, inheritance and debt are among the subjects that have taken up most of the efforts of jurists, scholars, and the law. The issue of paying off the debts of the dead is of importance and placed secondly among the rights that inviolable by death. This study showed the concept of inheritance, legacy, its importance, and the characteristics of this system in the Islam. Then came the statement of the rights related to the inheritance, the right of the heirs, the end of the legal personality of the deceased, the numerous of heirs’ rights, the mechanism for protecting the debts of rights holders, the mechanism for proving debts on the estate, the rights of debtors, the extent to which the heir is independent of the inherited towards the creditor and Protection of debtors\u27 debts. The study reached a set of results, including that each heir is obligated to pay the debt ratio to the creditor in the same proportion as the estate devolved to him, the debt had an impact on the division of legacies, and debtor\u27s death has an effect on deferred debt. The study also recommends the need for the development of particular legislations that should be introduced for debt provisions for deceased persons, and that an explanatory memorandum should be drawn upon such legislations besides the interpretation of judicial decisions

Type A Behavior, Emotional Intelligence and Social Self-Efficacy as Predictors of Work Motivation among Faculty Members at the Hashemite University

This study examined the association between type A behavior, emotional intelligence, social self-efficacy, and work motivation among faculty members at the Hashemite University in Jordan. Seventy seven faculty members responded to four measures: Type A behavior scale, emotional intelligence scale, perceived social self-efficacy scale, and work motivation scale. The results of this study revealed that emotional intelligence was positively and significantly related to work motivation. Moreover, this study confirmed the value of emotional intelligence as a significant predictor of work motivation. However, social-self-efficacy and Type A behavior proved to be non significant predictors of work motivatio

Factors affecting intention to breastfeed among Syrian and Jordanian mothers: a comparative cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Breastfeeding is considered the ideal method of infant feeding for at least the first six months of life. This study aimed to compare breastfeeding intention between Syrian and Jordanian women and determine factors associated with breastfeeding intention among pregnant women in these two countries.</p> <p>Methods</p> <p>A cross-sectional design was used to collect data from1200 pregnant women aged 18 years and above (600 participants from each country). A self- administered questionnaire was used to collect data on socio-demographic characteristics and breastfeeding intention.</p> <p>Results</p> <p>Intention to breastfeed was reported by 77.2% of Syrian and 76.2% of Jordanian pregnant women. There was no significant difference in intention to breastfeed between Syrian women and Jordanian women. In both countries, women with a more positive attitude to breastfeeding, women with previous breastfeeding experience and women with supportive partners were more likely to intend to breastfeed. Syrian women with a monthly family income of more than US$200, younger than 25 and primiparous or having one child were more likely to report an intention to breastfeed their infants. Jordanian women with an education level of less than high school and not living with their family-in-law were more likely to intend to breastfeed.</p> <p>Conclusions</p> <p>In Syria and Jordan, a more positive attitude to breastfeeding, previous breastfeeding experience and presence of supportive husbands are associated with intention to breastfeed. These factors should be considered when planning programs designed to promote breastfeeding in these two countries.</p

A conceptual framework for determining metaverse adoption in higher institutions of gulf area : an empirical study using hybrid SEM-ANN approach

The metaverse is a kind of imagined world with immersive digital spaces that increase, allowing a more interactive environment in educational settings. The metaverse is an expansion of the synchronous communication that embraces an effective number of users to share different experiences. The study aims to investigate the students' perceptions towards metaverse system for educational purposes in the Gulf area. The conceptual model comprises the adoption properties, namely trialability, observability, compatibility, and complexity, users' satisfaction, personal innovativeness, and Technology Acceptance Model (TAM) constructs. The novelty of the paper lies in its conceptual model that correlates both personal-based characteristics and technology-based features. In addition, the novel approach of hybrid analysis will be used in the current study to perform deep-learning-based analysis of structural equation modelling (SEM) and artificial neural network (ANN). Moreover, the importance-performance map analysis (IPMA) is used in the current study to evaluate the involved factors for their importance and performance. The study identified Perceived Usefulness (PU) to be an essential predictor of the factor of Users’ Intention to Use the Metaverse System (MS). The fact was discovered during ANN and IPMA analysis. Furthermore, this study is practically significant, as it helped the concerned authorities in educational sector in understanding the significance of each factor and allowed them to make efforts and plans according to the order of significance of factors. Another important implication of the study is methodological in nature. It validates that deep ANN architecture can offer deep insight into non-linear relationships shared by various factors of a theoretical model

Factors that affect e-learning platforms after the spread of COVID-19 : post acceptance study

The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance of e-learning platforms. Therefore, this research attempts to explore the post-acceptance of e-learning platforms based on a conceptual model that has various variables. Each variable contributes differently to the post-acceptance of the e-learning platform. The research investigates the moderating role of vaccination fear on the post-acceptance of e-learning platforms among students. Thus, the study aims at exploring students’ perceptions about their post-acceptance of e-learning platforms where vaccination fear functions as a moderator. The current study depends on an online questionnaire that is composed of 29 items. The total number of respondents is 630. The collected data was implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. Fear of vaccination has a significant impact on the acceptance of e-learning platforms, and it is a strong mediator in the conceptual model. The findings indicate a positive effect of the fear of vaccination as a mediator in the variables: perceived ease of use and usefulness, perceived daily routine, perceived critical mass and perceived self-efficiency. The implication gives a deep insight to take effective steps in reducing the level of fear of vaccination, supporting the vaccination confidence among educators, teachers and students who will, in turn, affect the society as a whole