Search results for "Trie"
showing 10 items of 4468 documents
Multi-Energy School System for Seasonal Use in the Mediterranean Area
2020
School buildings represent an energy-consuming sector of real estate where different efficiency actions are necessary. The literature shows how the design of a multi-energy system offers numerous advantages, however, there are problems related to the integration of cogeneration units with renewable energy sources due to the low flexibility of the first one and the high degree of uncertainty of the latter. The authors provide an alternative solution through the analysis of a case study consisting of a multiple energy system in three Sicilian schools, focusing on the system&rsquo
Scientific productivity and collaboration in viticulture and enology in Latin American countries
2013
[EN] The aim of this study was to analyze the scientific activity of Latin American researchers in viticulture and oenology through bibliometric analyses of articles included in the Science Citation Index Expanded database for the period of 2006 to 2010. A total of 917 research articles were published in 364 domestic and international journals. We highlight the important growth in the number of research papers published during the period, especially in Brazil, Argentina and Chile, as well as an increasing number of international collaborations, mainly with non-American grape- and-wine producing countries. A social network analysis of collaborations between institutions and countries was als…
Are Public Subsidies to Encourage Young Farmers Effective? Case Study of a First-Time Farm Set Up by a Young Female Farmer in the Valencian Region of…
2021
Generational renewal and the incorporation of women into the rural world are fundamental for the sustainability and modernisation of the agricultural sector. Hence the special government protection granted to the sector, which appears in both European legislation on rural issues and in the global strategy of the 2030 Agenda and the Sustainable Rural Development Goals involving a commitment to measures aimed at helping young farmers to set up agricultural holdings and especially at encouraging women to engage in farm management. In the case of Spain, this is nothing new, given that Law 35/2011 on the Shared Ownership of Agricultural Holdings became a veritable revolution in terms of gender i…
Girls4STEM: Gender Diversity in STEM for a Sustainable Future
2020
Science, Technology, Engineering, and Mathematics (STEM) are key disciplines towards tackling the challenges related to the Sustainable Development Goals. However, evidence shows that women are enrolling in these disciplines in a smaller percentage than men, especially in Engineering related fields. As stated by the United Nations Women section, increasing the number of women studying and working in STEM fields is fundamental towards achieving better solutions to the global challenges, since the potential for innovation is larger. In this paper, we present the Girls4STEM project, which started in 2019 at the Escola Tè
Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists
2018
The increasing number of registered road crashes involving cyclists during the last decade, and the high proportion of road crashes resulting in severe injuries and fatalities among cyclists constitutes a global issue for community health, urban development, and sustainability. Nowadays, the incidence of many risk factors for road crashes of cyclists remains largely unexplained. Given the importance of this issue, the present study has been conducted with the aim of determining relationships between infrastructural, human factors and safety outcomes of cyclists. Objectives: This study aimed, first, to examine the relationship between key infrastructural and human factors present in cycling,…
Cognitive Linguistics as the Underlying Framework for Semantic Annotation
2012
In recent years many attempts have been made to design suitable sets of rules aimed at extracting the semantic meaning from plain text, and to achieve annotation, but very few approaches make extensive use of grammars. Current systems are mainly focused on extracting the semantic role of the entities described in the text. This approach has limitations: in such applications the semantic role is conceived merely as the meaning of the involved entities without considering their context. As an example, current semantic annotators often specify a date entity without any annotation regarding the kind of the date itself i.e. a birth date, a book publication date, and so on. Moreover, these system…
Early development of hedonic and motivational aspects of eating behaviour
2015
Eating is essential for survival. However, the newborn is not an autonomous eater, and has to learn ‘how', ‘what', ‘when', and ‘how much' to eat quickly enough to ensure harmonious growth and development. In other nutritional areas, it has been shown during the past 20 years that early experiences are likely to impact long-term health outcomes. Thus, it appears fundamental to understand the early development of hedonic and motivational aspects of eating behaviour. This presentation will describe several studies conducted in our group during the past 10 years, in order to gain more knowledge about the development of what and how much children eat, in relation with food sensory and nutritiona…
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data.
2022
The unprecedented availability of optical satellite data in cloud-based computing platforms, such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval models from the local to the planetary scale. Hybrid retrieval models are of interest to run in these platforms as they combine the advantages of physically-based radiative transfer models (RTM) with the flexibility of machine learning regression algorithms. Previous research with GEE primarily relied on processing bottom-of-atmosphere (BOA) reflectance data, which requires atmospheric correction. In the present study, we implemented hybrid models directly into GEE for processing Sentinel-2 (S2) Level-1C (L1C)…
Servant Leadership in a Nordic Healthcare Organization
2022
The aim of this chapter is to deepen the understanding of employees’ perceptions of servant leadership (SL) in the context of healthcare organizations. The empirical findings are based on the analysis of qualitative data collected in a Nordic healthcare organization that supports SL. Based on theory-driven content analysis, perceptions of SL were evaluated based on Spears’ definition of SL, which this chapter supports and develops. The findings show that SL seems to be a suitable approach for leadership in a healthcare organization. Its ethical and human-centered values especially seem to fit the context of healthcare. peerReviewed
Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion
2020
In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thicknesses of epidermis and dermis. The aim of this study is to determine the best methods for stochastic model inversion in order to improve current methods in skin related cancer diagnostics and in the future develop a non-invasive way to measure the physical parameters of the skin based partially on the results of the study. Of the compared methods, which are convolutional neural network, multi-layer …