Extending the Knowledge Discovery Metamodel to Support Aspect- Oriented Programming

Software engineers often have to resort to various program analysis tools to analyze the structure and sometimes behavior of a system before they can make changes that preserve system reliability and other quality attributes. The Knowledge Discovery Metamodel (KDM) is an OMG standard which specifies a language-independent representation of the programs to be analyzed. The advantages of using KDM are numerous including an increase in productivity and a cut in overall costs during maintenance, as it allows for a reuse of available KDM compatible tools and expertise. Currently, KDM supports a number of procedural and object-oriented programming languages. However, no support currently exists for aspect-oriented programming languages. This thesis aims at filling this gap, by extending KDM to support AspectJ, perhaps the most popular aspect-oriented language. We show an application of the extended model to an aspect-oriented application

COVID-19 Infection and Seropositivity in Multiple Sclerosis Patients in Guilan in 2021

Background: Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system. COVID-19 has presented a significant challenge to the care providers of patients with MS. Objectives: The present study aimed to investigate the frequency of COVID-19 infection and its seropositivity in MS patients in Guilan, Iran, in 2021. Materials & Methods: In this analytical-cross-sectional study, all patients with relapsing-remitting MS registered in the Guilan MS Association with an expanded disability status scale of less than 5 who were referred for evaluation participated in the study. Information related to the clinical and serological symptoms of COVID-19 infection, changes in drug use, and the occurrence of new attacks were collected. Serological results of COVID-19 (IgG) among them were registered. Results: In total, 260 patients with MS (78.8% women, and 21.2% men) with a Mean±SD age of 38.7±9.9 years, and a Mean±SD duration of MS of 8.9±4.9 years were investigated. The most commonly used drugs were Dimethyl fumarate, Interferon, and Rituximab, respectively. Thirty-three patients (12.6%) had a clinical COVID-19 infection, of which 32 people had a mild and only one had a critical infection. Eight patients (1.3%) had positive COVID-19 IgG tests. No significant relationship was found between the COVID-19 infection with the type of medication, medication change, clinical attack of MS, and co-morbidities (P>0.05). Conclusion: A few patients had positive COVID-19 IgG tests and clinical COVID-19 infection. The vast majority had mild disease, and the clinical attack was not related to COVID-19 infection