Institution
Open University of Catalonia
Education•Barcelona, Spain•
About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Context (language use) & Higher education. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.
Topics: Context (language use), Higher education, Collaborative learning, The Internet, Educational technology
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors examine how these specific labor conditions affect younger employees' concerns about job loss or job insecurity and, on the other hand, how this job insecurity can affect their current job performance and the future development of their career.
47 citations
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TL;DR: This study provides a foundation to better understand the mechanisms that underpin the relationship between equines and natural strongyle infection and the profiling of horse immune response and gut microbiota should contribute to the development of novel biomarkers forStrongyle infection.
Abstract: Gastrointestinal strongyles are a major threat to horses' health and welfare. Given that strongyles inhabit the same niche as the gut microbiota, they may interact with each other. These beneficial or detrimental interactions are unknown in horses and could partly explain contrasted susceptibility to infection between individuals. To address these questions, an experimental pasture trial with 20 worm-free female Welsh ponies (10 susceptible (S) and 10 resistant (R) to parasite infection) was implemented for 5 months. Fecal egg counts (FEC), hematological and biochemical data, body weight and gut microbiological composition were studied in each individual after 0, 24, 43, 92 and 132 grazing days. R and S ponies displayed divergent immunological profiles and slight differences in microbiological composition under worm-free conditions. After exposure to natural infection, the predicted R ponies exhibited lower FEC after 92 and 132 grazing days, and maintained higher levels of circulating monocytes and eosinophils, while lymphocytosis persisted in S ponies. Although the overall gut microbiota diversity and structure remained similar during the parasite infection between the two groups, S ponies exhibited a reduction of bacteria such as Ruminococcus, Clostridium XIVa and members of the Lachnospiraceae family, which may have promoted a disruption of mucosal homeostasis at day 92. In line with this hypothesis, an increase in pathobionts such as Pseudomonas and Campylobacter together with changes in several predicted immunological pathways, including pathogen sensing, lipid metabolism, and activation of signal transduction that are critical for the regulation of immune system and energy homeostasis were observed in S relative to R ponies. Moreover, S ponies displayed an increase in protozoan concentrations at day 92, suggesting that strongyles and protozoa may contribute to each other's success in the equine intestines. It could also be that S individuals favor the increase of these carbohydrate-degrading microorganisms to enhance the supply of nutrients needed to fight strongyle infection. Overall, this study provides a foundation to better understand the mechanisms that underpin the relationship between equines and natural strongyle infection. The profiling of horse immune response and gut microbiota should contribute to the development of novel biomarkers for strongyle infection.
47 citations
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TL;DR: The proposed machine-learning based framework learns students’ patterns of language use from data, providing an accessible and non-invasive validation of student identities and student-produced content to enhance academic integrity in the e-learning environment.
Abstract: This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students’ patterns of language use from data, providing an accessible and non-invasive validation of student identities and student-produced content. To assess the performance of the proposed approach, we conducted a series of experiments using written assignments of graduate students. The proposed method yielded a mean accuracy of 93%, exceeding the baseline of human performance that yielded a mean accuracy rate of 12%. The results suggest a promising potential for developing automated tools that promote accountability and simplify the provision of academic integrity in the e-learning environment.
47 citations
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TL;DR: In this paper, a critical analysis of various topologies for power circuits used in power line conditioners designed to attenuate or remove disturbances in the electric power system is presented, where the desirable qualities shown by the technical and economical aspects in each configuration are evaluated.
Abstract: This paper presents a critical analysis of various topologies for power circuits used in power line conditioners designed to attenuate or remove disturbances in the electric power system. By defining a series of merit figures, it becomes possible to appraise the desirable qualities shown by the technical and economical aspects in each configuration. There is also a description of the basic lines for designing practical equipment. Finally, experimental results of a novel topology which reconfigures to UPS operation in the case of a power line failure are shown to confirm the validity of the prospective method.
47 citations
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30 Nov 2011TL;DR: A critical review of prominent emotion taxonomies, affect detection and feedback strategies and then the design of a system that is endowed with students' emotion aware capabilities is proposed.
Abstract: The consideration of emotion in learning has been in the research agenda for quite long time and literature is offering a variety of studies that are evaluating the role of emotions in various learning contexts (class, test and exams, during studying at home, etc). In the current paper we first appose a critical review of prominent emotion taxonomies, affect detection and feedback strategies and then we propose the design of a system that is endowed with students' emotion aware capabilities. An emotion taxonomy that originates from the basic emotions of fear and affection is put forward. Social-Emotional Learning Theory and Practice can be exploited to feed the necessary theoretical background that is lacking of empirical data.
47 citations
Authors
Showing all 2008 results
Name | H-index | Papers | Citations |
---|---|---|---|
Andrea Saltelli | 65 | 184 | 31540 |
Jose A. Rodriguez | 63 | 597 | 17218 |
Cristina Botella | 55 | 404 | 13075 |
Fatos Xhafa | 52 | 692 | 10379 |
Jaime Kulisevsky | 48 | 210 | 15066 |
William H. Dutton | 43 | 277 | 7048 |
Angel A. Juan | 41 | 284 | 5040 |
Aditya Khosla | 39 | 61 | 50417 |
Jordi Cabot | 38 | 106 | 5022 |
Jordi Cortadella | 38 | 226 | 5736 |
Antoni Valero-Cabré | 37 | 99 | 6091 |
Berta Pascual-Sedano | 34 | 87 | 4377 |
Josep Lladós | 33 | 271 | 4243 |
Carlo Gelmetti | 33 | 159 | 3912 |
Juan V. Luciano | 33 | 106 | 2931 |