Search results for "LABOR"
showing 10 items of 3876 documents
Trabajadores desplazados, mano de obra barata en Europa
2020
espanolEl articulo analiza la movilidad intraeuropea de los trabajadores que, en virtud del principio de libre circulacion de servicios, van de un pais (origen) a otro/s (destino/s) para realizar una actividad durante un periodo de tiempo determinado. Aborda las tendencias recientes de esta migracion temporal, los factores que la impulsan y su distribucion geografica, y las condiciones laborales de los trabajadores desplazados. La informacion utilizada procede de los informes y datos publicados por la Comision Europea y de los resultados de investigaciones que diversos autores han llevado a cabo en diferentes paises.La movilidad geografica aumenta de forma acelerada en toda Europa, lo que s…
Exploring Design Cognition in Voice-Driven Sound Sketching and Synthesis
2021
Conceptual design and communication of sonic ideas are critical, and still unresolved aspects of current sound design practices, especially when teamwork is involved. Design cognition studies in the visual domain represent a valuable resource to look at, to better comprehend the reasoning of designers when they approach a sound-based project. A design exercise involving a team of professional sound designers is analyzed, and discussed in the framework of the Function-Behavior-Structure ontology of design. The use of embodied sound representations of concepts fosters team-building and a more effective communication, in terms of shared mental models.
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
Reverse-safe data structures for text indexing
2021
We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optim…
Assessing the Level of Collaborative Writing in a Wiki-Based Environment: A Case Study in Teacher Education
2016
Wikis have received the last few years a growing interest as tools for supporting collaborative writing in teacher education. This paper reports on results from a case study that aimed at assessing the level of collaborative writing among teacher students. Taking advantages of wiki affordances, the proposed theoretical framework uses a taxonomy of category actions that can be carried out on wiki. These provide a powerful instrument to analyze students’ individual contributions to the wiki and level of collaborative writing among students as well. Implications for teacher preparation and professional development are drawn from the results and future research actions are envisaged to enhance …
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
The first year of the “open discovery of stem laboratories” (ODL) project
2018
The Open Discovery of STEM Laboratories (ODL) project, co-funded by the European Community Erasmus+ KA2 program for 30 months, starting from November 2015, involves five countries: Spain, Italy, Greece, Estonia and Lithuania. It aims to implement teacher collaboration in creating and using μMOOCs (very short version of MOOCs-Massive Open Online Courses) for encouraging the use of STEM (Science, Technology, Engineering and Mathematics) remote/virtual laboratories into lessons. The challenge of the project is to impact on teaching process and inspire pedagogical innovation and modernization by means of open education resources, teaching/learning tools and best practices provided by European e…
The integration of content and language in students’ task answer production in the bilingual classroom
2016
The notion of content and language integration has recently become a key topic of inquiry in research on content and language integrated learning and other kinds of bilingual educational programmes. Understanding what integration is and how it happens is of fundamental importance not only for researchers interested in gauging the possibilities and limitations of bilingual programmes, but also for practitioners seeking optimal ways to support student development. This study investigates integration as it takes place in the context of collaborative writing in the classroom. Drawing on conversation analytic methodology, text production is investigated as a social and sequentially evolving phen…
Training the translator trainers : an introduction
2019
This is an Accepted Manuscript of an article published by Taylor & Francis in [The Interpreter and Translator Trainer] on [09 Oct 2019], available online: http://www.tandfonline.com/10.1080/1750399X.2019.1647821
Prevalence and determinants of secondary posttraumatic growth following trauma work among medical personnel: a cross sectional study.
2021
ABSTRACT Background: People helping trauma victims as a part of their work may experience positive results, known as Secondary Posttraumatic Growth (SPTG). Aim: The present study aimed to determine the prevalence and determinants of SPTG among medical personnel, considering occupational load, job satisfaction, social support, and cognitive processing of trauma, understood as cognitive coping strategies. Methods: Subjects comprised 419 representatives of the medical profession, including paramedics and nurses. The age of the subjects varied from 19 to 65 (M = 39.60; SD = 11.03). Four standard measurement tools were utilized: the Secondary Posttraumatic Growth Inventory, the Job Satisfaction …