Domain-specific modelling languages, in particular those described in terms of UML profiles, use graphical notations to maximise human understanding and facilitate communication among stakeholders. Nevertheless, textual notations are preferred for specific purposes, due to the nature of a specific domain, or for personal preference. The mutually exclusive use of graphical or textual modelling is not sufficient for the development of complex systems developed by large heterogeneous teams. We envision a modern modelling framework supporting seamless hybrid graphical and textual modelling. Such a framework would provide several benefits, among which: flexible separation of concerns, multi-view modelling based on multiple notations, convenient text-based editing operations, and text-based model editing outside the modelling environment, and faster modelling activities. In this paper we describe our work towards such a framework for UML and profiles. The uniqueness is that both graphical and textual modelling are done on a common persistent model resource, thus dramatically reducing the need for synchronisation among the two notations.
Time variation of constants of nature is still a question of debate among astronomers, physicists, geologists, and palaeontologists. But are the fundamental physical constants really varying in space or time and how changing these parameters may occur?. Paul Dirac was interested in this question in the large number hypothesis (LNH). He arrived by coincidence at the revolutionary hypothesis that the gravitational constant G should be varied inversely with the cosmic time t. LNH sparked off many ideas and arguments about the possibility of time or space variations of the fundamental constants of nature. In this work, we review details and arguments regarding the time and space variation of dimensional and dimensionless constants based on a detailed comparison for the recorded literature over about one and a half-century.
Emissions from oil wells and refineries are sources of air pollutants depending on their composition and amounts. The current study focuses on investigation and detecting of thermal anomalies and active hotspots in oil pipelines and refineries locations in Iraq, along with the spatial distribution of the ultraviolet aerosol (UV Aerosol) index. The goal is to assign the most polluted cities that can assist in evaluating the consequences of the air pollution on human and the environmental risk as well. We carried out the analysis of the products obtained from Terra/ MODIS data derived from channels 21 (4 µm) and 31 (11 µm), and the Sentinel-5P products/ Level 2 for the UV Aerosol index in the atmosphere, and found a number of active thermal signals in different geographic areas in Iraq, especially in southeastern and northeastern parts of the country, where the most of Iraq's petroleum resources are located there. The study shows a good correlation between the observed thermal anomalies and the UV emissions, and the results proved that the aerosol emission changes is significantly affected by emissions from oil wells and refineries. We also used fires reports obtained from the department of safety and fires in Basra to validate the outcomes and to investigate the final interpretation of the obtained results that were consist with the documented reports. As well as the results also shows a significant spatio-temporal variations in values of UV index among different parts of Iraq, and the larger amount of UV index has been seen in southern Iraq in Basra.