Challenges in the Application of Genre Theory to Improve L2 Academic Writing: Effective Reports and Assessment

This paper examines the application of a systemic-functional linguistic (SFL) Genre Theory approach to an L2 classroom in Spain, where English systems and their formal and functional characteristics were explicated in the teaching-learning process in order to help students improve their writing skills. It analyses various facets of the effectiveness of this approach through a careful consideration of student report writing, first by analysing the assessors’ marking parameters and concentration, and second by thoroughly going through the papers themselves to summarise the nature and quantity of the various writing issues, paying particular attention to areas in which the existing assessment was questionable, incorrect, or not indicating errors in standard English

Strategic group identification using evolutionary computation

This paper proposes to identify strategic groups among franchisors from a big set of franchisor variables. Genetic evolutionary computation was used to reduce a set of variables efficiently, and factor analysis was used to make up the strategic groups. Franchise 500 was used as database. The results suggest both that the general map of franchisor has changed since Carney and Gedajlovic’s study, and that genetic evolutionary computation is a valid way to extract knowledge from a huge set of data. This paper proposes useful information for those retail firms considering internationalization via franchising. The originality of this paper is in the use of Genetic Algorithm to discriminate the final set of variables to be used for the identification of strategic groups instead of evaluating one by one the adequacy of each variable theoretically. The ability of evolutionary computation to create new knowledge is good to produce new insights into this topi

International comparison of R&D investment by European, US and Japanese companies

Looking across the rapidly developing world, it is even more crucial for companies to benchmark their R&D investment against best international practice in their sector and to understand the ways in which their R&D investment will affect future business performance. The globalisation of technology requires a global analysis involving companies all over the world. In this study, top R&D European, US and Japanese companies are analysed and compared using R&D investment scoreboard reports. The main objective consists of extracting clusters of companies with similar R&D policies and comparing the obtained clusters with the major developed economic areas. Results will characterise companies in accordance with different R&D profiles, highlighting some asymmetries in the three major economic areas analyse

Polymer waste materials as fillers in polymer mortars: experimental and finite elements simulation

Serious environmental problems are due to large amounts of polymer waste, which are mostly thrown into landfills. As we known, polymer composites has been used to produce a variety of products like acid tanks, manholes, drains, highway median barriers, and so forth. One option is to use waste polymers as aggregates in polymer composites. In this work, waste polymers (PET, polycarbonate and automotive tires), partially replaced silica sand in polyester based mortar. Waste particles (0.7–2.36 mm), in concentrations of 1, 2 and 3% by weight, were used. The polymer mortar specimens were subjected to compressive and flexural tests, and the elasticity modulus was calculated. In addition, mechanical values were calculated by Finite Element Method (FEM), and compared with experimental data. Surface morphology and degree of crystallinity of waste particles were analyzed by SEM and XRD techniques, respectively. The results show improvement on the mechanical strength (up to 20%) for polymer mortar with waste PET; but lower mechanical values when adding polycarbonate or tire particles, compared to control mortar. These mechanical results can be related to the crystallinity degree, because PET particles shown higher crystallinity than those for polycarbonate and tire particles. This work is an alternative to reduce environmental contamination through to use waste polymers as fillers in polymer mortars. Keywords: Polymer waste, Polymer mortar, Polyethylene terephthalate, Polycarbonate, Tire rubber, Mechanical propertie

Alpha decay perturbations by atomic effects at extreme conditions

The alpha tunneling effect in the presence of electron screening is calculated within the Debye model. Calculations show that very small effects are predicted by cooling the metal to low temperatures. However the alpha lifetime decay may be reduced by about 15% if solid samples of the alpha emitters are cooled and compressed to relatively high densities. These conditions can be achieved at high pressures by using existing diamond anvil cells (DACs). Even so, practical consequences for speeding-up the decay of actinides (from the nuclear waste) seem to be negligible. Keywords: Alpha decay; Lifetime reduction; Extreme atomic condition

A quantitative study of the evolution of open source software communities

Typically, virtual communities exhibit the well-known phenomenon of participation inequality, which means that only a small percentage of users is responsible of the majority of contributions. However, the sustainability of the community requires that the group of active users must be continuously nurtured with new users that gain expertise through a participation process. This paper analyzes the time evolution of Open Source Software (OSS) communities, considering users that join/abandon the community over time and several topological properties of the network when modeled as a social network. More specifically, the paper analyzes the role of those users rejoining the community and their influence in the global characteristics of the network

Examining the power-law distribution among eWOM communities: a characterisation approach of the Long Tail

Nowadays electronic word-of-mouth (eWOM) communities symbolise a significant source of information that helps customers to make informed purchasing decisions. Through eWOM communities, a great audience of users is able to acquire knowledge from reviews concerning products and services that are less popular to the majority. The Long Tail effect is a manifestation of such redistribution of demand from popular products to niche products. In this paper, a new methodology that mathematically fits the relationship between the power-law distribution and the Long Tail from an eWOM community is developed. In addition, this paper defines a tool for finding niche products inaccessible through conventional channels. The results are consistent in showing that not all the categories fitting a power-law distribution are characterised by the Long Tail phenomenon, and conversely some of those having a Long Tail do not fit a power-law distribution

Metodologías de análisis de los big data en las plataformas educativas

La proliferación de nuevas plataformas educativas por Internet y el avance de la educación online ha abierto nuevas posibilidades de análisis debido al gran volumen de datos generados y almacenados en los servidores. Los usuarios dejan trazas de su actividad, y esta actividad posibilita nuevos análisis del comportamiento de estudiantes y de los contenidos compartidos, difícilmente realizables en la educación cara a cara tradicional. Este trabajo aporta un resumen de las diversas metodologías aplicables a los grandes volúmenes de datos generados por las plataformas educativas, clasificables dentro de los Big Data, así como los diversos campos en los que podrían aplicarse y las mejoras que podrían introducir en el desarrollo de las propias herramientasConsejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía (Proyecto de Excelencia referencia P12-SEJ-328)

Análisis de la oferta educativa en el ámbito de los MOOCs

Los MOOCS, acrónimo del término Massive Open Online Courses, han experimentado un extraordinario auge en los últimos años y se postulan como una de las herramientas más populares y eficientes en el ámbito educativo universitario. Múltiples plataformas educativas han proliferado a través de internet y la oferta educativa crece día a día. El análisis de esta amplia oferta educativa requiere de nuevas metodologías capaces de analizar de manera automática los contenidos ofertados. Este trabajo propone la utilización de técnicas de análisis semántico latente para analizar la oferta educativa actual dentro del área de Computer Science, que es una de las más demandas en el ámbito de los MOOCs. Los resultados obtenidos aportan información acerca de las temáticas emergentes en el área de Computer Science y pueden ser útiles para actualizar los contenidos ofertados en los cursos tradicionalesConsejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía (Proyecto de Excelencia referencia P12-SEJ-328)

The T3 receptor β1 isoform regulates UCP1 and D2 deiodinase in rat brown adipocytes

Brown adipose tissue (BAT) thermogenesis increases when uncoupling protein-1 (UCP1) is activated adrenergically and requires T3. In humans, UCP1 activation in BAT seems involved in body weight maintenance. BAT type 2 deiodinase (D2) increases in response to adrenergic agents, producing the T3 required for UCP1 expression. T3 actions are mediated by thyroid hormone nuclear T3 receptors (TR), TRα and TRβ. Studies in mice suggest that TRβ is required for UCP1 induction, whereas TRα regulates body temperature and adrenergic sensitivity. In the present study, we compare the effects of T3 vs. specific TRβ1 and TRα1 agonists [GC-1 and CO23] on the adrenergic induction of UCP1 and D2 in cultured rat brown adipocytes. T3 and GC-1 produced similar increases on UCP1, whereas CO23 increased UCP1 only at high doses (50 nM). GC-1 at low doses (0.2-10 nM) was less potent than T3, increasing the adrenergic stimulation of D2 activity and mRNA. At higher doses, GC-1 further stimulated whereas T3 inhibited D2 activity but not D2 mRNA, suggesting posttranscriptional effects. CO23 had no effect on D2 activity but increased D2 mRNA. T3, GC-1, or CO23 by themselves did not increase UCP1 or D2 mRNA. High T3 doses shortened D2 half-life and increased D2 turnover via proteasome, whereas GC-1 did not change D2 stability. The α1- and α2-adrenergic D2 responses increased using high T 3 doses. In summary, T3 increases the adrenergic stimulation of UCP1 and D2 expression mostly via the TRβ1 isoform, and in brown adipocytes, D2 is protected from degradation by the action of T 3 on TRβ1. Copyright © 2010 by The Endocrine Society.This work was supported by Research Grants SAF2006/01319 and SAF2009-09364 from Plan Nacional (Ministerio de Educación y Ciencia and Ministerio de Ciencia e Innovación) and FMM2006 from Fundación Médica Madrileña (Spain) (toM.-J.O.). Centro de Investigación Biomédica en Red de Fisiopatologia de la Obesidad y Nutrición (CIBERObn) is an initiative of Instituto de Salud Carlos III, Spain.Peer Reviewe