Melanoma in the Italian population and regional environmental influences: A national retrospective survey on 2001–2008 hospitalization records

Objective: To assess the burden of regional environmental factors influencing the incidence of Melanoma in the Italian population and overcome the problem of partial population coverage by local cancer registries and thematic archives. Methods: We analyzed the Italian national hospitalization records from 2001 to 2008 provided by the Ministry of Health, excluding hospital re-admissions of the same patients, in order to assess the occurrence of Melanoma over a 8-year period. Data were presented by age groups (absolute number of cases from 20 to ≥80 years old) and per Region (rates per 100,000 inhabitants) for each year. Results: The overall number of new hospitalizations due to malignant Melanoma increased by 16.8% from 2001 (n = 4846) to 2008 (n = 5823), with the rate per 100,000 inhabitants passing from 10.5 to almost 12.0 at a national level. The majority of new diagnoses of malignant Melanoma was observed in two age groups: 61–70 years old (from 979 in 2001 up to 2109 in 2008, corresponding to 15.1 and 18.1 new cases per 100,000 inhabitants, respectively) and 71–80 years old (from 954 in 2001 up to 1141 in 2008, corresponding to 19.5 and 21.8 new cases per 100,000 inhabitants, respectively). The number of hospitalizations due to Melanoma increased in all age groups with the only exception of the youngest patients aged 20–30 years old. The highest increases over the 8-year period were observed in people aged ≥81 years old (+34%), 61–70 years old (+20%) and surprisingly in the age group 31–40 years old (+17%). Southern Regions showed lower hospitalization rates compared to Northern Italy and Region Lazio. The highest increases between 2001 and 2008 were observed in Trentino/Alto Adige, Friuli Venezia Giulia, Valla d’Aosta and Veneto Region. Conclusions: Hospitalizations due to malignant Melanoma in Italy seem to be influenced by environmental or population-related factors showing a decreasing incidence rate from the Northern to Southern Regions

HF-SCA: Hands-Free Strong Customer Authentication Based on a Memory-Guided Attention Mechanisms

Strong customer authentication (SCA) is a requirement of the European Union Revised Directive on Payment Services (PSD2) which ensures that electronic payments are performed with multifactor authentication. While increasing the security of electronic payments, the SCA impacted seriously on the shopping carts abandonment: an Italian bank computed that 22% of online purchases in the first semester of 2021 did not complete because of problems with the SCA. Luckily, the PSD2 allows the use of transaction risk analysis tool to exempt the SCA process. In this paper, we propose an unsupervised novel combination of existing machine learning techniques able to determine if a purchase is typical or not for a specific customer, so that in the case of a typical purchase the SCA could be exempted. We modified a well-known architecture (U-net) by replacing convolutional blocks with squeeze-and-excitation blocks. After that, a memory network was added in a latent space and an attention mechanism was introduced in the decoding side of the network. The proposed solution was able to detect nontypical purchases by creating temporal correlations between transactions. The network achieved 97.7% of AUC score over a well-known dataset retrieved online. By using this approach, we found that 98% of purchases could be executed by securely exempting the SCA, while shortening the customer’s journey and providing an elevated user experience. As an additional validation, we developed an Alexa skill for Amazon smart glasses which allows a user to shop and pay online by merely using vocal interaction, leaving the hands free to perform other activities, for example driving a car

An innovative AAL system based on neural networks and IoT-aware technologies to improve the quality of life in elderly people

Nowadays more and more elderly people need support in daily activities. This is due to the increase of cognitive diseases and other conditions which lead the elderly to not being self-sufficient. Considering this, providing an Ambient Assisted Living system could improve significantly people life quality and could support caregivers' tasks. The combination of Ambient Assisted Living systems and information and communication technologies achieve this purpose perfectly. They exploit internet of things and artificial intelligence paradigms to make daily challenges easier for people with neurodegenerative diseases. This work melds technologies mentioned above providing a smart system for elderly to manage goods and fill in shopping lists. It was possible using software, hardware, and cloud systems combined with a neural network aimed to recognise products. The proposed system has been validated both from a functional point of view through a proof-of-concept and quantitatively by a performance analysis of its components

Artificial intelligence applied to software testing:a tertiary study

Context: Artificial intelligence (AI) methods and models have extensively been applied to support different phases of the software development lifecycle, including software testing (ST). Several secondary studies investigated the interplay between AI and ST but restricted the scope of the research to specific domains or sub-domains within either area.Objective: This research aims to explore the overall contribution of AI to ST, while identifying the most popular applications and potential paths for future research directions.Method: We executed a tertiary study following well-established guidelines for conducting systematic literature mappings in software engineering and for answering nine research questions.Results: We identified and analyzed 20 relevant secondary studies. The analysis was performed by drawing from well-recognized AI and ST taxonomies and mapping the selected studies according to them. The resulting mapping and discussions provide extensive and detailed information on the interplay between AI and ST.Conclusion: The application of AI to support ST is a well-consolidated and growing interest research topic. The mapping resulting from our study can be used by researchers to identify opportunities for future research, and by practitioners looking for evidence-based information on which AI-supported technology to possibly adopt in their testing processes

Epidemiology of fragility fractures in Italy

OBJECTIVES: We aimed to calculate the incidence of major fragility fractures in Italy, including those which do not result systematically in hospital admissions, on the basis of hospitalization rates provided in our previous researches.METHODS: We analyzed Italian national hospital discharge data from year 2004 to 2006 in order to determine age- and sex-specific incidence rates of hip, vertebral, humeral, and forearm fractures occurred in people aged 40 to 100 years of age. Re-hospitalizations of the same patients have been excluded from the analysis. Hospital discharge data have been adjusted taking into account recently published information concerning fracture-specific hospitalization rates.RESULTS: We estimated a total of 88,647 hip fractures in year 2006 among people aged 40 to 100 years old, with a +5.9% increase across the three examined years. Women aged >75 years old (n=53,259) accounted for 60% of total fractures observed both in males and females from 40 to 100 years of age. Concerning males, the highest incidence was observed between 80 and 84 years old (about 5,000 hip fractures). Overall incidence rate per 100,000 inhabitants computed for hip fractures was 284.28, with marked age- and sex-specific differences. Clinical vertebral fractures were estimated to be almost 61,000 in 2006, with a +3.1% increase across the three examined years. Overall incidence rate per 100,000 inhabitants computed for clinical vertebral fractures was 195.23, but this value doubled between 75 and 95 years of age. In the same year 2006, a total of 56,129 humeral and 97038 forearm/wrist fractures, with a +5.5% and +3.9% increase across three years, respectively. Overall humeral fractures incidence per 100,000 was 180, with highest rates (up to 600 and over) observed in women between 75 and 95 years of age, while incidence per 100,000 computed for wrist fractures was 311, with top values observed in women between aged 55-85 years old - thus including early post-menopausal age group - and a peak in those between 75 and 79 years of age.CONCLUSIONS: The burden of major osteoporotic fractures in Italy is very high. Preventive strategies aimed to reduce fractures incidence should be carried out at regional level

Trends on engineering interactive systems: an overview of works presented in workshops at EICS 2019

Workshops are a great opportunity for identifying innovative topics of research that might require discussion and maturation. This paper summarizes the outcomes of the workshops track of the 11th Engineering Interactive Computing Systems conference (EICS 2019), held in Valencia (Spain) on 18-21 June 2019. The track featured three workshops, one half-day, one full-day and one two-days workshop, each focused on specific topics of the ongoing research in engineering usable and effective interactive computing systems. In particular, the list of discussed topics include novel forms of interaction and emerging themes in HCI related to new application domains, more efficient and enjoyable interaction possibilities associated to smart objects and smart environments, challenges faced in designing, developing and using interactive systems involving multiple stakeholders.- (undefined