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and Objectives: To establish whether the level of knowledge in reading nutritional labels in the Maltese population is correlated to their oral health status. Materials and Methods: Participants were recruited from dental screenings on the Mobile Dental Unit (MDU) or at the University of Malta dental teaching clinics. A questionnaire was used to collect general information, participants’ awareness of WHO sugar guidelines, food preferences, and their level of knowledge in reading nutrition labels. The decayed, missing, and filled teeth (DMFT) Index and erosion scores were also recorded. Results: A total of 122 random subjects participated in this research project, of which 62.3% were females. 17.2% of the total sample were aware of the WHO guidelines regarding sugar intake. 41.7% of people showed a good level of knowledge in reading nutrition labels. Mean DMFT scores and care index were found to be 10.5 ± 7.2 and 37.2 ± 30.3% respectively. Furthermore, the BEWE index was found to be 1.2 ± 3.3%. Higher educational levels were associated with healthier diets. Within the 35-65 years group, DMFT was significantly lower if the respondent had the ability to read labels. Conclusion: The study showed that there is a low awareness of WHO daily sugar intake guidelines and a moderate understanding of nutrition labels. Age-related trends, educational background, and knowledge in reading and correctly understanding food nutritional labels were related to better oral health., peer-reviewed

Telecom companies are sitting on a gold mine because they own a huge amount of data. Once data are unlocked, this can develop competitive advantages and generate new sources of revenue. In the context of increased competitiveness, rapid technological evolution and alignment with global telecoms rules, this approach ensures openness to other related service categories, allowing both the internal transformation of the operator — by operational efficiency or by reducing costs, but also externally — through providing new services as a data provider (i.e. tourism, public services, transportation, etc.). In order to extract the strategic meaning of the data and transform it into actionable information, we propose a detailed analysis of the current state of knowledge regarding Business Intelligence in Telecom (Big Data, Data Analytics, Cloud, and mobile computing), identifying the portfolio of possible areas of application and their impact. This approach involves the identification of structured and unstructured data sets, internal or external to the operator. The primary purpose is to determine the answer to the following questions: “where are the data used?” or “is the data used in the most profitable way (for better measurement of organizational performance, avoidance of investment, generation of related service options that can be offered to other interested partners)?” We also need to analyze the architectures or software components for data analysis and business intelligence platforms. These issues will assist existing decisions, capitalizing data richness taking into account the development of telecommunication market. We will define which steps are the necessary for value the Big Data, highlighting their originality in the Romanian and international telecommunication market.