Determination of the optimal phenolic extraction yield in red wines using the glories method

This work addresses the phenolic composition and colour parameters in red wines throughout the vinification. The main purposes were to test the effectiveness of the Glories method in the evaluation of the maceration process and to observe the evolution of phenolic compounds during different stages of the winemaking process. The experiments were carried out with two red dry table wines and one Port wine. The Glories method was modified to test the ripeness of the grapes and the pomace during maceration. Furthermore other spectrophotometric methods were used to assess the content of anthocyanins and total polyphenols. The same parameters and other phenolics were also quantified using the Skogerson-Boulton model. Classical colour parameters and CIELab values were determined by the methods recommended by OIV. It was recognized that the application of the Glories method to the grape pomace during the winemaking process could potentially be used for the evaluation of the maceration. Regarding the polyphenol compounds, their extraction mostly occurs during the initial maceration stages. Moreover, alcoholic fermentation and malolactic fermentation do not seem to extensively affect the colour parameters of the wine, as well as the content of different phenolics including anthocyanins. Colour parameters remained relatively stable during the initial winemaking stages following maceration, although the increase of all parameters except hue after malolactic fermentation suggests changes in the content and structure of pigments. Furthermore it was found that the Skogerson-Boulton model can be used as tool to rapidly quantify different classes of phenolic compounds

Leveraging Intellectual Capital Management in Virtual Teams: What the Covid-19 Pandemic Taught Us

This study undertakes a review of the scientific literature on the role and impact of Intellectual Capital (IC) with all its components (human, structural and relational capital) on Virtual Team (VT) work. As already proven in the discipline research, IC as a summum of organizational knowledge resources plays a fundamental role in the knowledge economy in sustaining competitive advantage, innovation and performance. Despite an abundance of papers investigating VTs from both a theoretical and empirical perspective, a surprising discovery has been made during this research. The extent of work dedicated to analysing the relationships between IC and VTs is minimal, notwithstanding the unprecedented expansion of the use of VTs since the beginning of the Covid-19 pandemic. Following a first review of the extant literature regarding IC and VTs, a second literature review has been conducted for the benefit of revealing crucial aspects and the newest best practices in what concerns work in VTs. In doing so, the authors attempt to draw attention to the need for in-depth researches in the IC field, to catch up with the business, economic and societal most recent developments. Furthermore, this study aims to provide the practitioners with up-to-date, concise knowledge on the practical aspects relevant for the work in VTs

Analysing entity context in multilingual Wikipedia to support entity-centric retrieval applications

Representation of influential entities, such as famous people and multinational corporations, on the Web can vary across languages, reflecting language-specific entity aspects as well as divergent views on these entities in different communities. A systematic analysis of language specific entity contexts can provide a better overview of the existing aspects and support entity-centric retrieval applications over multilingual Web data. An important source of cross-lingual information about influential entities is Wikipedia — an online community-created encyclopaedia — containing more than 280 language editions. In this paper we focus on the extraction and analysis of the language-specific entity contexts from different Wikipedia language editions over multilingual data. We discuss alternative ways such contexts can be built, including graph-based and article-based contexts. Furthermore, we analyse the similarities and the differences in these contexts in a case study including 80 entities and five Wikipedia language editions

Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia

In this paper we take an important step towards better understanding the existence and extent of entity-centric language-specific bias in multilingual Wikipedia and any deviation from its targeted neutral point of view. We propose a methodology using sentiment analysis techniques to systematically extract the variations in sentiments associated with real-world entities in different language editions of Wikipedia, illustrated with a case study of five Wikipedia language editions and a set of target entities from four categories

The Effect of the Internationalization of the Markets in the European Union Through the Added Value

In this study, an analysis was made of added value from each EU27 economy as a result of the internationalization of the markets, starting from the activity fields in the economy that contribute to obtaining the added value. Thus, a ranking of the countries according to the size of the added value was obtained, an analysis of the changes in activity level in 2017 compared to 2010 and a comparative analysis of the value-added structure between the EU27 and Romania. Finally, a classification of the countries was obtained according to the added value generated by each person employed, at the level of 2017 and it was observed that this indicator shows us the efficiency with which each country manages to value the processes and activities, so that the difference between what produce and what it consumes be high as possible

Identification of the Most Relevant Quality Parameters for Berries – A review

Fresh fruit jointly to vegetables are an essential component of a healthy diet, able to decrease the risk of cardiovascular diseases and cancer. In the last years, their consumption has continued to grow rapidly linked to the increased public awareness of their health benefits, even if it remains below the recommended daily intake in many countries, due to barriers such as complacency and lack of willpower to change the diet. The attributes of berries, like chemical-physical and nutritional characteristics, microbial contamination, chemical contaminants as well as sensorial properties represent some very important quality parameters that must be determined in order to establish the quality of berries after ripening and during storage, until they reach their final destination (consumer). The aim of this study was to perform a literature review in order to determine the most relevant quality parameters of berries and to describe methods for their determination

Adaptive Distributed Data Storage for Context-Aware Applications, Journal of Telecommunications and Information Technology, 2013, nr 4

Context-aware computing is a paradigm that relies on the active use of information coming from a variety of sources, ranging from smartphones to sensors. The paradigm usually leads to storing large volumes of data that need to be processed to derive higher-level context information. The paper presents a cloud-based storage layer for managing sensitive context data. To handle the storage and aggregation of context data for context-aware applications, Clouds are perfect candidates. But a Cloud platform for context-aware computing needs to cope with several requirements: high concurrent access (all data needs to be available to potentially a large number of users), mobility support (such platform should actively use the caches on mobile devices whenever possible, but also cope with storage size limitations), real-time access guarantees – local caches should be located closer to the end-user whenever possible, and persistency (for traceability, a history of the context data should remain available). BlobSeer, a framework for Cloud data storage, is a perfect candidate for storing context data for large-scale applications. It offers capabilities such as persistency, concurrency and support for flexible storage schema requirement. On top of BlobSeer, Context Aware Framework is designed as an extension that offers context-aware data management to higher-level applications, and enables scalable high-throughput under high-concurrency. On a logical level, the most important capabilities offered by Context Aware Framework are transparency, support for mobility, real-time guarantees and support for access based on meta-information. On the physical layer, the most important capability is persistent Cloud storage