With the major advances of the Internet throughout the past couple of years, websites have come to play a central role in the modern marketing business program. However, simply owning a website is not enough for a business to prosper on the Web. Indeed, it is the level of usability of a website that determines if a user stays or abandons it for another competing one. It is therefore crucial to understand the importance of usability on the web, and consequently the need for its evaluation. Nonetheless, there exist a number of obstacles preventing software organizations from successfully applying sound website usability evaluation strategies in practice. From this point of view automation of the latter is extremely beneficial, which not only assists designers in creating more usable websites, but also enhances the Internet users' experience on the Web and increases their level of satisfaction. As a means of addressing this problem, an Intelligent Usability Evaluation (IUE) tool is proposed that automates the usability evaluation process by employing a Heuristic Evaluation technique in an intelligent manner through the adoption of several research-based AI methods. Experimental results show there exists a high correlation between the tool and human annotators when identifying the considered usability violations.

Abstract Background: The COVID-19 pandemic spread across the globe, including across the Mediterranean basin. This region presents diversity in economy, culture, and societal affairs. We attempted to evaluate the impact of COVID-19 on the population and on the Sustainable Development Goals (SDGs), our aim being to aid in the development of COVID-19 national plans. Methods: Epidemiological data was obtained from ‘Our World in Data’ databases (January 2020 – July 2021). Case, mortality, and vaccination incidence comparisons were made across neighbouring countries. The SDG index, universal health coverage (UHC) and health workforce targets were collected for each country. Correlations between SDG targets and COVID-19 outcomes were analysed. Results: Similarities in morbidity and mortality outcomes were present across neighbouring countries, with a bidirectional relationship between cumulative fully vaccinated population and infectivity fatality rates. Positive relationships were present between SDG indexes, UHC and health workforces and COVID-19 cases, deaths, and vaccinations. Conclusion: At prima face, high-income countries seem to have sustained worse morbidity and mortality outcomes, despite having had better UHC and a greater health workforce in the pre-COVID-19 era however, one must also consider that factors such as health-seeking behaviour and underdiagnosis may have influenced this. Cross-border infectivity was, however, evident. Pan-Mediterranean action must therefore be taken to ensure COVID-19 transmissibility and mortality are reduced across borders, while ensuring an equitable health outcome across populations. Keywords: COVID-19; Mediterranean; Morbidity; Mortality; Vaccination; Sustainable Development Goals; Outcome Assessment.

Together, these two publications provide a sound basis for the understanding of ASD, the first for its academic prowess and the second for its chapters on clinical aspects and anecdotes. However, they are voluminous and useful mainly for reference. The definitive clinical handbook on ASD with sufficient coverage of the disorder in adults is yet to be written. Organising services for adults with ASD at a time of austerity and 'efficiency savings' is another matter. M. S. Thambirajah Consultant Child and Adolescent Psychiatrist (retired), c/o The British Journal of Psychiatry,