Improvements in Pain, Well-being, Arterial Pressure, and Lower Limb Volume Following Andullation Therapy in Healthy and Unhealthy Humans

Our aim was to test the effects of Andullation therapy on pain threshold, pain perception, feeling of well-being, arterial pressure, and leg volume in healthy and unhealthy patients. We used a multidirectional vibration (frequency range: 5–40 Hz; peak-to-peak amplitude: 2–8 mm; acceleration: 0.4–2 m/s 2 ) in an undulatory way through the surface of the body when the patient was in contact with a mattress (“andullation”). The vibes traveled from the heel to the head in a random fashion while the participants (N = 50) were lying on the mattress. We measured the pain threshold using an algometer; pain perception and well-being through a visual analog scale (VAS); arterial pressure with an electronic sphygmomanometer; and leg volume with Kuhnke’s technique. Measurements were made just before the first andullation session and after the fifth andullation session. Every participant received andullation sessions of 30 min a day for 5 consecutive days. The patients’ pain threshold significantly (P <.001) increased by 34.48% and 25.79% in the lumbar and trapezius zones, respectively, after 5 sessions of therapy. The subjective perception of pain decreased by 52.3% and the feeling of well-being increased by 45.1%. The systolic and diastolic pressures significantly (P <.001) decreased by 6.44 and 4.68 mm Hg on average, respectively. Leg volume significantly decreased (P <.01) by 64.39 mL after the fifth andullation session. Despite not including a control group in our study, the andullation intervention showed an improvement in pain, well-being, arterial pressure, and lower limb volume in the studied population.Fundación para la Investigación de la Universidad de Sevilla FIUSHome Health Products HH

Evolution in the Design and Functionality of Rubrics: from “Square” Rubrics to “Federated” Rubrics

The assessment of learning remains one of the most controversial and challenging aspects for teachers. Among some recent technical solutions, methods and techniques like eRubrics emerge in an attempt to solve the situation. Understanding that all teaching contexts are different and there can be no single solution for all cases, specific measures are adapted to contexts where teachers receive support from institutions and communities of practice. This paper presents the evolution of the eRubric service [1] which started from a first experience with paper rubrics, and, with time and after several I+D+R [2] educational projects, has evolved thanks to the support of a community of practice [3] and the exchange of experiences between teachers and researchers. This paper shows the results and functionality of the eRubrics service up to the date of publicationa.) Project I+D+i EDU2010-15432: eRubric federated service for assessing university learning http://erubrica.uma.es/?page_id=434. b.) Centre for the Design of eRubrics. National Distance Education System -Sined- Mexico. [http://erubrica.uma.es/?page_id=389

Study of Video Annotations In External Practices Of University Learning

The digital video as code and learning technology has extensive scientific literature (Bartolome, 1997; Aguaded and Sánchez, 2008). However, the increase of digital video services on the Internet has facilitated and increased the use of video for education. With a recent important increase of videos as contained in the MOOC (Massive Open Online Course). This context has also created the expansion of educational practices based on models for collaborative learning and mediated by technology (Computer Supported Learning collaborative -CSCL-). The study of these practices is proving to be effective for teachers in service and initial training practices if it is analyzed collectively (Hosack, Br tools, 2010;. Picci, Calvani, & Bonaiuti, 2012; Etscheidt & Curran, 2012; Ingram , 2014). There is interest in literature reviews on the reflective capabilities with the use of video for initial teacher training (Orland-Barak & Rachamim, 2009; Rich and Hannafin 2009; Rich & Trip, 2011) to which we expand in (Wallet, Cebrian & Desenne, 2015). This work is part of a research project in progress [1] which aims to implement a federated portfolio model of multimedia evidences. This model uses a digital portfolio (from now on we will call ePortfolios) with three different federated tools (1. Digital rubric or eRubric, 2. Webquest and 3. Open Video Annotations -Ova-) created by our research and development group Gtea [2 ]. The OVA tool was created within the MOOC of edX in collaboration with Harvard University in 2013 [3]. So it, we need to create another standalone tool to design their own interface to use this tool in this project. This design was evaluated through user usability and satisfaction (Monedero, Cebrian & Desenne, 2015). This study focuses on the ease and functionality of the OVA tool so that students to collect evidence on their digital multimedia portfolios. Especially, analyzes the competences that students show when annotate video in order to explain their learning experiences and respond to the skills that are required in the eRubrics in different teaching contexts (external and laboratory practices).Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. R+D+i project: Study of the Impact of federated eRubrics on the evaluation of external practices competences Plan Nacional de I + D + i de Excelencia (2014-2017) Ministerio de Economía y competitividad, nº EDU2013-41974-P web: http://goo.gl/CN6ID

Why do we smile? On the determinants of the implied volatility function.

We report simple regressions and Granger causality tests in order to understand the pattern of implied volatilities across exercise prices. We employ all calls and puts transacted between 16:00 and 16:45 on the Spanish IBEX-35 index from January 1994 to April 1996. Transaction costs, proxied by the bid–ask spread, seem to be a key determinant of the curvature of the volatility smile. Moreover, time to expiration, the uncertainty associated with the market and the relative market momentum are also important variables in explaining the smile.Smiles; Bid–ask spread; Volatility; Causality;