The Impact of Software Team Project Measurements on Students' Performance in Software Engineering Education

It is essential to the software engineering instructors to monitor the students' performance in their course projects. Detecting key measures of software engineering project helps to get a better assessment for students' performance, resolve difficulties of low expectation-team's, and consequently improves the overall learning outcomes. Several studies attempted to present the important measures of software project but they only captured the early phases of the whole project time period. This paper introduces a hybrid approach of classification and feature selection techniques, which aims to comprehensively cover all phases of software development through investigating all product and process measures of software project. Experiments were conducted using five classifiers and two feature selection techniques. The results show the significant process and product measures for the software engineering team projects, which primarily improves the students' performance assessment. The performance prediction of our proposed assessment model outperforms prediction of the previous models. Keywords: Assessment, Classification, Feature selection, Software engineering education, Software team DOI: 10.7176/JEP/11-31-02 Publication date: November 30th 2020

Modified differential transformation method for solving classes of non-linear differential equations

In this research article, a numerical scheme namely modified differential transformation method (MDTM) is employed successfully to obtain accurate approximate solutions for classes of nonlinear differential equations. This scheme based on differential transform method (DTM), Laplace transform and Pad´e approximants. Validity and efficiency of MDTM are tested upon several examples and comparisons.are made to demonstrate that. The results lead to conclude that the MDTM is effective, explicit and easy to use.Publisher's Versio

الآثار الاقتصادية لدفع القيمة بدل العين في الزكاة زكاة الفطر نموذجاً The economic effects of paying the cash value instead of the goods in the Zakat: Zakat Al-Fiter as a model

ملخص هدفت الدراسة إلى بيان آراء الفقهاء في دفع القيمة بدل العين في الزكاة، حيث تمثلت مشكلة الدراسة في بيان مدى إمكانية إخراج قيمة العين الواجب إخراجها في زكاة المال بدلاً عنها، وما الآثار الاقتصادية المترتبة على ذلك، وعرضت الدراسة الزكاة كأداة من أدوات السياسة الاقتصادية؛ نظرا لما يترتب عليها من حجب أو ضخ كمية هائلة من النقود في السوق، ثم بينت الدراسة الآثار الاقتصادية المترتبة على التحول من العين إلى القيمة في دفع الزكاة لمستحقيها، وعرضت زكاة الفطر أنموذجاً، وخلصت هذه الدراسة إلى: أن المصلحة العامة تقتضي القول بمرونة إخراج الزكاة بين النقدية والعينية، ففي الأمر سعة تقررها السياسة الشرعية بناء على الوضع الاقتصادي السائد؛ نظرا لتطور الحاجات وتعددها ولما تحققه الوحدة النقدية من منفعة في يد المستحق، ولما تعود به من نفع على المكلف. وأوصت الدراسة أن تقوم الدولة بمسؤوليتها تجاه الزكاة جمعا وإنفاقا؛ لأن الآثار الاقتصادية لا يمكن أن تتحقق إلا من خلال ذلك. الكلمات المفتاحية: الزكاة، الآثار الاقتصادية، النقدية، الاقتصاد الإسلامي. The economic effects of paying the cash value instead of the goods in the Zakat: Zakat Al-Fiter as a model Abstract The study aimed to clarify the views of the jurists in paying the value instead of the tangible goods in zakat, where the problem of the study was to show the possibility of paying the value instead of the tangible goods that should be paid in zakat, and what are the economic implications of that and presented zakat as a tool of Economic policy due to its influence withholding or pumping a huge amount of money into the market, then the study showed the economic effects of the shift to paying the value instead of the tangible goods in zakat to the beneficiaries, and presented Zakat Al-Fitr as a model, and this study concluded that the public interest requires saying of flexibility in paying zakat both cash or tangible goods, Islamic economic policy gives flexible space depending on the current economic situation due to development and mutability of needs, and the benefits of cash which can be achieved for both the beneficiaries and the zakat payer. The study recommended that the state fulfill its responsibility towards zakat, both in Collection and spending, because the economic effects can’t be achieved only through that. Key words: Zakat, economic impacts, monetary, Islamic economics

Accurate approximate solution of classes of boundary value problems using modified differential transform method

In this paper, a numerical scheme so-called modified differential transformation method (MDTM) based on differential transformation method (DTM), Laplace transform and Pad´e approximation will be used to obtain accurate approximate solution for a class of boundary value problems (BVP’s). The MDTM is employed as an alternative technique to overcome some difficulties in the behavior of the solution and to be valid for a large region. The numerical results obtained demonstrate the applicability and validity of this technique. Numerical comparison is made with existing exact solution

Synthetic generation of multidimensional data to improve classification model validity

This article aims to compare Generative Adversarial Network (GAN) models and feature selection methods for generating synthetic data in order to improve the validity of a classification model. The synthetic data generation technique involves generating new data samples from existing data to increase the diversity of the data and help the model generalize better. The multidimensional aspect of the data refers to the fact that it can have multiple features or variables that describe it. The GAN models have proven to be effective in preserving the statistical properties of the original data. However, the order of data augmentation and feature selection is crucial to build robust and accurate predictive models. By comparing the different GAN models with feature selection methods on multidimensional datasets, this article aims to determine the best combination to support the validity of a classification model in multidimensional data.</p

Parental knowledge of RVS infection and attitude to infant immunization with monoclonal antibodies in western region, Saudi Arabia

Background: Human Respiratory Syncytial Virus (RSV) is a single-stranded (RNA) virus belongs to genus orthopneumovirus. It accounted as one of the main causes of lower respiratory tract infection in the pediatric age group and associated with their hospitalization and morbidity. Prophylactic monoclonal antibodies help in improvement and reduction of the serious complications resulting from the virus. Objective : The aim of this paper is to assess parental knowledge of RSV infection and attitudes to infant immunization with monoclonal antibodies. Method: A cross-sectional study conducted using online questionnaire from February 2023 to June 2023 in western region in the Kingdom of Saudi Arabia. A total of 606 of participants, which include any parents or caregiver who believe in childhood vaccination in western region of Saudi Arabia with exclusion of any parents who hesitate towards or refuse childhood vaccinations and outside western region. The statistical analysis done using IBM SPSS. Results: The study included 606 participants from the western province of Saudi Arabia, 218 (36%) were in the age group of 20-30 years, 383 (63.2%) had bachelor degrees And 77(12.7) works in healthcare, RSV was the least known childhood infectious agent (48.7%) of the participants never heard of it. 542 (89.4%) had a positive attitude toward childhood vaccinations in general and (51.2%) toward RSV vaccination with (75.2%) concerned about its safety.Conclusion: Despite the fact that practically all children were exposed to RSV, a sizable percentage of parents never heard of it. We propose that dependable healthcare professionals provide evidence-based information regarding RSV and its safety, effectiveness, and duration of protection against RSV for parents

Decline in subarachnoid haemorrhage volumes associated with the first wave of the COVID-19 pandemic

BACKGROUND: During the COVID-19 pandemic, decreased volumes of stroke admissions and mechanical thrombectomy were reported. The study\u27s objective was to examine whether subarachnoid haemorrhage (SAH) hospitalisations and ruptured aneurysm coiling interventions demonstrated similar declines. METHODS: We conducted a cross-sectional, retrospective, observational study across 6 continents, 37 countries and 140 comprehensive stroke centres. Patients with the diagnosis of SAH, aneurysmal SAH, ruptured aneurysm coiling interventions and COVID-19 were identified by prospective aneurysm databases or by International Classification of Diseases, 10th Revision, codes. The 3-month cumulative volume, monthly volumes for SAH hospitalisations and ruptured aneurysm coiling procedures were compared for the period before (1 year and immediately before) and during the pandemic, defined as 1 March-31 May 2020. The prior 1-year control period (1 March-31 May 2019) was obtained to account for seasonal variation. FINDINGS: There was a significant decline in SAH hospitalisations, with 2044 admissions in the 3 months immediately before and 1585 admissions during the pandemic, representing a relative decline of 22.5% (95% CI -24.3% to -20.7%, p\u3c0.0001). Embolisation of ruptured aneurysms declined with 1170-1035 procedures, respectively, representing an 11.5% (95%CI -13.5% to -9.8%, p=0.002) relative drop. Subgroup analysis was noted for aneurysmal SAH hospitalisation decline from 834 to 626 hospitalisations, a 24.9% relative decline (95% CI -28.0% to -22.1%, p\u3c0.0001). A relative increase in ruptured aneurysm coiling was noted in low coiling volume hospitals of 41.1% (95% CI 32.3% to 50.6%, p=0.008) despite a decrease in SAH admissions in this tertile. INTERPRETATION: There was a relative decrease in the volume of SAH hospitalisations, aneurysmal SAH hospitalisations and ruptured aneurysm embolisations during the COVID-19 pandemic. These findings in SAH are consistent with a decrease in other emergencies, such as stroke and myocardial infarction

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations