Generation of Custom Textual Model Editors

Textual editors are omnipresent in all software tools. Editors provide basic features, such as copy-pasting and searching, or more advanced features, such as error checking and text completion. Current technologies in model-driven engineering can automatically generate textual editors to manipulate domain-specific languages (DSLs). However, the customization and addition of new features to these editors is often limited to changing the internal structure and behavior. In this paper, we explore a new generation of self-descriptive textual editors for DSLs, allowing full configuration of their structure and behavior in a convenient formalism, rather than in source code. We demonstrate the feasibility of the approach by providing a prototype implementation and applying it in two domain-specific modeling scenarios, including one in architecture modeling.

Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction

With an estimated 64.3 million cases worldwide, heart failure (HF) imposes an enormous burden on healthcare systems. Sudden death from arrhythmia is the major cause of mortality in HF patients. Computational modeling of the failing heart provides insights into mechanisms of arrhythmogenesis, risk stratification of patients, and clinical treatment. However, the lack of a clinically informed approach to model cardiac tissues in HF hinders progress in developing patient-specific strategies. Here, we provide a microscopy-based foundation for modeling conduction in HF tissues. We acquired 2D images of left ventricular tissues from HF patients (n = 16) and donors (n = 5). The composition and heterogeneity of fibrosis were quantified at a sub-micrometer resolution over an area of 1 mm2. From the images, we constructed computational bidomain models of tissue electrophysiology. We computed local upstroke velocities of the membrane voltage and anisotropic conduction velocities (CV). The non-myocyte volume fraction was higher in HF than donors (39.68 ± 14.23 vs. 22.09 ± 2.72%, p < 0.01), and higher in ischemic (IC) than nonischemic (NIC) cardiomyopathy (47.2 ± 16.18 vs. 32.16 ± 6.55%, p < 0.05). The heterogeneity of fibrosis within each subject was highest for IC (27.1 ± 6.03%) and lowest for donors (7.47 ± 1.37%) with NIC (15.69 ± 5.76%) in between. K-means clustering of this heterogeneity discriminated IC and NIC with an accuracy of 81.25%. The heterogeneity in CV increased from donor to NIC to IC tissues. CV decreased with increasing fibrosis for longitudinal (R2 = 0.28, p < 0.05) and transverse conduction (R2 = 0.46, p < 0.01). The tilt angle of the CV vectors increased 2.1° for longitudinal and 0.91° for transverse conduction per 1% increase in fibrosis. Our study suggests that conduction fundamentally differs in the two etiologies due to the characteristics of fibrosis. Our study highlights the importance of the etiology-specific modeling of HF tissues and integration of medical history into electrophysiology models for personalized risk stratification and treatment planning.

Saudi Non-oil Exports Before and After COVID-19: Historical Impacts of Determinants and Scenario Analysis.

The diversification of the non-oil sector, including its exports, is at the core of Saudi Vision 2030. This study investigates Saudi non-oil exports in a novel way. Specifically, it differs from previous studies on this topic owing to its modeling framework. This study’s modeling framework first estimates the non-oil export equation, which allows us to examine the historical impacts of theoretically articulated demand- and supply-side determinants on non-oil exports. This is done using Autometrics, a state-of-the-art algorithm for computer-automated model selection in the general-to-specific modeling strategy framework, with super saturation.

MODELING AND SIMULATION IN CRITICAL INFRASTRUCTURES PROTECTION

Critical infrastructure protection is a complex field that involves using specific research methods, capturing the dynamic and complex reality in which infrastructure systems evolve. Modeling and simulation provides particular tools and approaches adapted to the field of critical infrastructure protection. A good knowledge of the methodology and using the appropriate tools can lead to improvements in the security of critical infrastructures. Creating models for infrastructures or systems facilitates research, followed by the simulation of potential events with a negative impact. The studies carried out at the intersection of the two fields open new research opportunities to improve the modeling and simulation tools and increase the resilience of critical infrastructures. The specific modeling and simulation methods find their applicability at the operator's or owners' activity for the elaboration of the security plans and their validation.