Social media and sentiment in bioenergy consultation

he push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organisations towards energy development projects. Design/methodology/approach This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised, and illustrated using a sample of tweets containing the term ‘bioenergy’ Findings Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable Purpose The push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organisations towards energy development projects. Design/methodology/approach This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised, and illustrated using a sample of tweets containing the term ‘bioenergy’ Findings Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results. Research limitations/implications Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector. Originality/value Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.

Transforming the relationship between staff and students to effect change

This opinion piece argues for the necessity of student-staff partnerships that go beyond the common rhetoric of ‘student engagement’, achieving a richer student and staff dialogue which results in more meaningful change in policy and practice. In particular, attention is drawn to the need for such partnerships when determining technology applications that are often missed out from, or treated in isolation from, the curriculum design process. This piece cites, as an example, a student-led taught day on the Post Graduate Diploma in Learning and Teaching at Aston University in July 2015. There was clear evidence that the staff participants designed their assessments with student partners in mind. It is therefore proposed that a partnership relationship offers an effective means of moving forward from common practices where technology simply replicates, or supplements, traditional activities.

On stopwords, filtering and data sparsity for sentiment analysis of Twitter

Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations, irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to remove stopwords by using pre-compiled stopword lists or more sophisticated methods for dynamic stopword identification. However, the effectiveness of removing stopwords in the context of Twitter sentiment classification has been debated in the last few years. In this paper we investigate whether removing stopwords helps or hampers the effectiveness of Twitter sentiment classification methods. To this end, we apply six different stopword identification methods to Twitter data from six different datasets and observe how removing stopwords affects two well-known supervised sentiment classification methods. We assess the impact of removing stopwords by observing fluctuations on the level of data sparsity, the size of the classifier's feature space and its classification performance. Our results show that using pre-compiled lists of stopwords negatively impacts the performance of Twitter sentiment classification approaches. On the other hand, the dynamic generation of stopword lists, by removing those infrequent terms appearing only once in the corpus, appears to be the optimal method to maintaining a high classification performance while reducing the data sparsity and substantially shrinking the feature space

Determinants of Firm Growth with respect to Exporting and Innovation Activities: Evidence from Egyptian SMEs

Small and medium-sized enterprises (SMEs) are considered to be the driving engine for employment growth, source of innovation and technological progress. Moreover, the success of small exporters is critical for economic growth and is considered as an important development stage for many SMEs. However, their competitive advantage lies within the firm’s ability to innovate. This thesis contributes to the above literature by examining two main factors believed to promote firm growth namely ‘exporting’ and ‘innovation’ activities. Growing interests on the relationship between exporting, innovation and growth have recently been tackled. However, there remains a gap in literature on the relationship between exporting, innovation and firm growth for SMEs in emerging economies. Previous studies are conducted in developed counties such as UK, Ireland, USA, Germany, and Switzerland, which leaves the gap for those developing countries. Thus, this thesis addresses the gap by examining the importance of innovation and exporting activities in the growth of SMEs in Egypt. It is also the researcher’s intent to recognise the unique contribution of innovation on firm exporting activities covering all sectors. gypt, one of the countries that were tremendously affected by the so-called ‘Arab Spring revolution’, is suffering from slow economic growth, high unemployment and poverty rate. Thus, the government must ensure economic growth and job creation. Programmes to encourage and develop SMEs should be part of inclusive growth strategy. Meanwhile, exporting is regarded as a key factor to help the economy recover from recession and stimulate economic growth. On the other hand, innovation leads to better performance in terms of growth, exporting and productivity. Therefore, SMEs and their exporting and innovation activities should be an integral part of any recovery and growth strategy for the economy. Moreover, Egypt is suffering from the so-called ‘Missing Middle’, which is problematic as medium firms tend to provide better employment growth and productivity. Therefore, more light is to shed on the importance of exporting and innovation in the growth of firms. The research design was quantitative in nature, testing the proposed hypotheses. The study was conducted in 2013 based on questionnaires of 406 Egyptians SMEs. The results of the empirical study suggest that both exporting and innovation activities are important in firm growth. However, the results show that, after controlling for endogeneity, innovation does not affect exporting activities in SMEs.

Determinants of firm growth with repect to exporting and innovation activities:evidence from Egyptian SMEs

Small and medium-sized enterprises (SMEs) are considered to be the driving engine for employment growth, source of innovation and technological progress. Moreover, the success of small exporters is critical for economic growth and is considered as an important development stage for many SMEs. However, their competitive advantage lies within the firm’s ability to innovate. This thesis contributes to the above literature by examining two main factors believed to promote firm growth namely ‘exporting’ and ‘innovation’ activities. Growing interests on the relationship between exporting, innovation and growth have recently been tackled. However, there remains a gap in literature on the relationship between exporting, innovation and firm growth for SMEs in emerging economies. Previous studies are conducted in developed counties such as UK, Ireland, USA, Germany, and Switzerland, which leaves the gap for those developing countries. Thus, this thesis addresses the gap by examining the importance of innovation and exporting activities in the growth of SMEs in Egypt. It is also the researcher’s intent to recognise the unique contribution of innovation on firm exporting activities covering all sectors. Egypt, one of the countries that were tremendously affected by the so-called ‘Arab Spring revolution’, is suffering from slow economic growth, high unemployment and poverty rate. Thus, the government must ensure economic growth and job creation. Programmes to encourage and develop SMEs should be part of inclusive growth strategy. Meanwhile, exporting is regarded as a key factor to help the economy recover from recession and stimulate economic growth. On the other hand, innovation leads to better performance in terms of growth, exporting and productivity. Therefore, SMEs and their exporting and innovation activities should be an integral part of any recovery and growth strategy for the economy. Moreover, Egypt is suffering from the so-called ‘Missing Middle’, which is problematic as medium firms tend to provide better employment growth and productivity. Therefore, more light is to shed on the importance of exporting and innovation in the growth of firms. The research design was quantitative in nature, testing the proposed hypotheses. The study was conducted in 2013 based on questionnaires of 406 Egyptians SMEs. The results of the empirical study suggest that both exporting and innovation activities are important in firm growth. However, the results show that, after controlling for endogeneity, innovation does not affect exporting activities in SMEs.

Hacia una poetica del Neobarroco: La vision de la historia en Jose Lezama Lima, Reinaldo Arenas y Severo Sarduy

Most of the critical studies of Baroque novels written in Spanish America during the 1960s and 1970s are characterized by a limited examination of their formal and stylistic representations. This dissertation explored the way in which certain writers developed a new Baroque tendency, the so-called Neobarroco, that presented a particular vision of history. José Lezama Lima, Reinaldo Arenas and Severo Sarduy developed innovative fictional and historiographic perceptions as alternative discourses to understand and perceive the cultural intricacies of Cuba and the New World. Their novels posited an elaborated poetic theory of history that can be summarized by the principle of supratemporal analogies, interweaved by a "metaphoric subject" that makes possible the conception of "imaginary eras". Since this poetry arises from a network of metaphoric correspondences, the image is conceived as a cultural creation that acts upon reality. ^ Although this study traced the trajectory of their writings from the point of view of their own essays, our focus was on the act of recovering the past as reshaped forms that are present in the memory. Paradiso, El mundo alucinante and De donde son los cantantes exemplified the attempt to place Americanness within the realm of poetics and history as one single discourse constructed by a combination of self-consciousness and historiographic meditation. ^ Basing my thesis on postmodernist theory (Ihab Hassan, Brian McHale, Linda Hutcheon) and philosophies of history (Michel Foucault, Hayden White, Keith Jenkins, Dominick LaCapra), I argued that the antagonistic paradoxes faced by postmodernism were reconcilable tendencies of the Neobarroco prior to the actual debate on the postmodern condition. The aesthetic trend initiated by these writers and their reading of history confronted the official historiographic discourse, thus empowering a contemporary voice in the current debate on historical skepticism. ^

Post-revolutionary post-modernism: Central American detective fiction by the turn of the 21st century

Contemporary Central American fiction has become a vital project of revision of the tragic events and the social conditions in the recent history of the countries from which they emerge. The literary projects of Sergio Ramirez (Nicaragua), Dante Liano (Guatemala), Horacio Castellanos Moya (El Salvador), and Ramon Fonseca Mora (Panama), are representative of the latest trends in Central American narrative. These trends conform to a new literary paradigm that consists of an amalgam of styles and discourses, which combine the testimonial, the historical, and the political with the mystery and suspense of noir thrillers. Contemporary Central American noir narrative depicts the persistent war against social injustice, violence, criminal activities, as well as the new technological advances and economic challenges of the post-war neo-liberal order that still prevails throughout the region. ^ Drawing on postmodernism theory proposed by Ihab Hassan, Linda Hutcheon and Brian MacHale, I argued that the new Central American literary paradigm exemplified by Sergio Ramirez's El cielo llora por mí, Dante Liano's El hombre de Montserrat, Horacio Castellanos Moya's El arma en el hombre and La diabla en el espejo , and Ramon Fonseca Mora's El desenterrador, are highly structured novels that display the characteristic marks of postmodern cultural expression through their ambivalence, which results from the coexistence of multiple styles and conflicting ideologies and narrative trends. The novels analyzed in this dissertation make use of a noir sensitivity in which corruption, decay and disillusionment are at their core to portray the events that shaped the modern history of the countries from which they emerge. The revolutionary armed struggle, the state of terror imposed by military regimes and the fight against drug trafficking and organized crime, are among the major themes of these contemporary works of fiction, which I have categorized as perfect examples of the post-revolutionary post-modernism Central American detective fiction at the turn of the 21st century.^

Efeito agudo do exercício aeróbio vigoroso sobre as funções executivas em adolescentes

Executive functions are determinant cognitive processes for student success, since they execute and control complex cognitive activities such as reasoning, planning and solving problems. The development of the executive functions performances begin early at childhood going through the adolescence until adulthood, concomitant with the neuroanatomical, functional and blood perfusion changes over the brain. In this scenario, exercise has been considered an important environmental factor for neurodevelopment, as well as for the promotion of cognitive and brain health. However, there are no large scientific studies investigating the effects of a single vigorous aerobic exercise session on executive functions in adolescents. Objective: To verify the acute effect of vigorous aerobic exercise on executive functions in adolescents. Methods: A randomized controlled trial (RCT) with crossover design was used. 20 pubescent from both sexes/gender with age between 10 and 16 years were submitted to two sessions of 30min each: 1) The aerobic exercise session intensity was between 65 and 75% of heart rate reserve, in which 5min for warm-up, 20min at the target intensity and 5min of cool down; and 2) control session watching cartoons. The computerized Stroop test – Testinpacs and trail making test were used to evaluate the inhibitory control and cognitive flexibility assessment respectively, before and after both experimental and control sessions. The reaction time (RT) and number of errors (n) of Stroop test were recorded. The total time (TT) and the number of errors (n) of the trail making test were also recorded. Results: The control session’s RT did not present significant differences in the Stroop test. On the other hand, the exercise session’s RT decreased significantly (p<0.01) after the session. The number of errors made at the Stroop test had no significant differences in control and exercise sessions. The ΔTT of trail making test of exercise session was significantly (p<0.001) lower than the control session’s. Errors made in trail making test did not show significant differences between control and exercise sessions. Additionally, there was significant and positive association among the Stroop test ΔRT of exercise session with xiii chronological age (r= 0.635, p=0.001; r 2 = 0.404, p=0.003) and sexual maturation (rs= 0.580, p=0.007; r 2 = 0.408, p=0.002). Differently, there was no association among the control session ΔRT and chronological age (r= – 0.144, p=0.273; r 2 = 0.021, p=0.545) or sexual maturation (rs= –0.155, p=0.513; r 2 = 0.015, p=0.610). Conclusion: Vigorous aerobic exercise seems to improve acutely executive functions in adolescents. The effect of exercise on inhibitory control performance was associated to pubertal stage and chronological age. In other words, the benefits of exercise were more evident in early adolescence (↑ ΔRT) and its magnitude decreases along the growing up process.

Efeito agudo da respiração abdominal lenta sobre a atividade cerebral, respostas emocionais e cardiovasculares

Introduction: Slow abdominal breathing (SAB) stimulates baroreflex and generates respiratory sinus arrhythmia, changing cardiovascular, emotional and cerebral systems acute and chronically. However, although meditative practices have been receiving increasingly attention in the last years, there is no agreement on the neurophysiological changes underlying them, mainly because of the lack of topographical pieces of information. Purpose: We aimed to analyze the acute effect of SAB on brain activity, emotional and cardiovascular responses in untrained subjects in meditative techniques. Methods: Seventeen healthy adults’ men were assessed into two different sessions in a random and crossed order. Into experimental session, they breathed in 6 cycles/minute and in control session they kept breathing in normal rate, both for 20 minutes. xi Before, during, and after each session we assessed brain activity using electroencephalography (EEG), anxiety, mood, heart rate variability (HRV) and blood pressure. The sLORETA software was used to analyze EEG data for source localization of brain areas in which activity was changed. Results: The sLORETA showed that beta band frequency was reduced in frontal gyrus (P<0.01) and anterior cingulate cortex (P<0.05) both during and after SAB (P<0.05) compared to the moment before it. There was no change in brain activity in control session. Additionally, a two-way repeated measures ANOVA showed that there was no effect on anxiety (P>0.8) and mood (P>0.08). There were improvements in HRV (P<0.03), with increased RR interval and decreased HR after SAB, as well as increased SDNN, RMSSD, pNN50, low frequency, LF/HF ratio, and total power during it, with no changes in SBP and DBP. Conclusions: We conclude that SAB is able to change brain activity in areas responsible for emotional processing, even without behavioral changes. Furthermore, SAB improves HRV and does not change blood pressure in normotensive.

Efeito agudo do exercício físico associado a praxias ideomotoras sobre as concentrações séricas de cortisol e memória declarativa em indivíduos com idade entre 51 e 74 anos

Introduction: Several modifications are identified as aging, causing more or less limitation imposed by over the years. Among these, one can highlight the different degrees of cognitive decline, particularly memory that can involve the daily activities and the subject functionality. Studies have shown an association between levels of serum cortisol and stress imposed by the exercise on this. However, there are few studies that references the performance on cognitive aspects of declarative memory and cortisol on the exercise in the water with automatic and práxicos movements and moderate. Objective: Check the effect based on the acute physical exercise and práxicos automatic movements on the performance of visual declarative memory and in serum cortisol in subjects aged between 51 and 74 years. Materials and Methods: It builds a survey characterized as cross with a first sample of 32 physically active subjects aged between 51 and 74 years, divided into two exercise groups (March of Automatic Group - MAG and the March of Praxis Group - MPG). We used a probabilistic and random sampling for sample selection. Used the MMSE (Mini Mental State Examination) to check the general cognitive status, visual acuity test - optotypes chart "E" Rasquin and was even used the declarative visual memory test proposed by Nitrini and collaborators (1994), applying before motor stimulation and immediately after, and the day of blood collection with 2 ml for analysis of cortisol hormone. The normality and homogeneity were verified from the Shapiro-Wilk and Levene tests. Thus we adopted a descriptive statistics to characterize the sample. The Split-Plot ANOVA was used along with the paired t-test to verify the identified differences. We adopted a significance level of p <0.05. Results: It was observed that the groups (MAG and MPG) and the anthropometric variables, perceived exertion, education, cognitive assessment and visual acuity showed no significant differences (p > 0.05), showing that the groups are homogeneous, with variables and similar means. After the stimulation session, lasting 30 min, it was observed that the amount of hits for Δ of declarative memory questionnaire visual images increased, presenting significant for both groups (MAG, p < 0.001; MPG, p = 0.042). The same was observed for cortisol concentration with a reduction in the levels immediately after the stimulus (MAG and MPG, p < 0.001). Conclusion: The results showed that the exercises proposed in its acute effect provide significantly memories of gains and also showed a reduction in cortisol levels.

Industrial fault detection and diagnosis using Bayesian belief network

Rapid development in industry have contributed to more complex systems that are prone to failure. In applications where the presence of faults may lead to premature failure, fault detection and diagnostics tools are often implemented. The goal of this research is to improve the diagnostic ability of existing FDD methods. Kernel Principal Component Analysis has good fault detection capability, however it can only detect the fault and identify few variables that have contribution on occurrence of fault and thus not precise in diagnosing. Hence, KPCA was used to detect abnormal events and the most contributed variables were taken out for more analysis in diagnosis phase. The diagnosis phase was done in both qualitative and quantitative manner. In qualitative mode, a networked-base causality analysis method was developed to show the causal effect between the most contributing variables in occurrence of the fault. In order to have more quantitative diagnosis, a Bayesian network was constructed to analyze the problem in probabilistic perspective.

Sismicità del Libano

In questo lavoro abbiamo trattato la sismicità del Libano, interpretando i terremoti storici e quelli recenti, con lo scopo di stimare la pericolosità sismica in quell'area.

Integración y visualización de datos abiertos medioambientales

En la actualidad, muchos gobiernos están publicando (o tienen la intención de publicar en breve) miles de conjuntos de datos para que personas y organizaciones los puedan utilizar. Como consecuencia, la cantidad de aplicaciones basadas en Open Data está incrementándose. Sin embargo cada gobierno tiene sus propios procedimientos para publicar sus datos, y esto causa una variedad de formatos dado que no existe un estándar internacional para especificar los formatos de estos datos. El objetivo principal de este trabajo es un análisis comparativo de datos ambientales en bases de datos abiertas (Open Data) pertenecientes a distintos gobiernos. Debido a esta variedad de formatos, debemos construir un proceso de integración de datos que sea capaz de unir todos los tipos de formatos. El trabajo implica un pre-procesado, limpieza e integración de las diferentes fuentes de datos. Existen muchas aplicaciones desarrolladas para dar soporte en el proceso de integración por ejemplo Data Tamer, Data Wrangler como se explica en este documento. El problema con estas aplicaciones es que necesitan la interacción del usuario como parte fundamental del proceso de integración. En este trabajo tratamos de evitar la supervisión humana aprovechando las similitudes de los datasets procedentes de igual área que en nuestro caso se aplica al área de medioambiente. De esta forma los procesos pueden ser automatizados con una programación adecuada. Para conseguirlo, la idea principal de este trabajo es construir procesos ad hoc adaptados a las fuentes de cada gobierno para conseguir una integración automática. Concretamente este trabajo se enfoca en datos ambientales como lo son la temperatura, consumo de energía, calidad de aire, radiación solar, velocidad del viento, etc. Desde hace dos años el gobierno de Madrid está publicando sus datos relativos a indicadores ambientales en tiempo real. Del mismo modo, otros gobiernos han publicado conjuntos de datos Open Data relativos al medio ambiente (como Andalucía o Bilbao), pero todos estos datos tienen diferentes formatos. En este trabajo se presenta una solución capaz de integrar todas ellos que además permite al usuario visualizar y hacer análisis sobre los datos en tiempo real. Una vez que el proceso de integración está realizado, todos los datos de cada gobierno poseen el mismo formato y se pueden lanzar procesos de análisis de una manera más computacional. Este trabajo tiene tres partes fundamentales: 1. Estudio de los entornos Open Data y la literatura al respecto; 2. Desarrollo de un proceso de integración y 3. Desarrollo de una Interface Gráfica y Analítica. Aunque en una primera fase se implementaron los procesos de integración mediante Java y Oracle y la Interface Gráfica con Java (jsp), en una fase posterior se realizó toda la implementación con lenguaje R y la interface gráfica mediante sus librerías, principalmente con Shiny. El resultado es una aplicación que provee de un conjunto de Datos Ambientales Integrados en Tiempo Real respecto a dos gobiernos muy diferentes en España, disponible para cualquier desarrollador que desee construir sus propias aplicaciones.

Visualización de datos de comunidades colaborativas

Las comunidades colaborativas, donde grandes cantidades de personas colaboran para la producción de recursos compartidos (e.g. Github, Wikipedia, OpenStreetMap, Arduino, StackOverflow) están extendiéndose progresivamente a multitud de campos. No obstante, es complicado comprender cómo funcionan y evolucionan. ¿Qué tipos de usuarios son más activos en Wikia? ¿Cómo ha evolucionado el número de wikis activas en los últimos años? ¿Qué perfil de actividad presentan la mayor parte de colaboradores de Wikia? ¿Son más activos los hombres o las mujeres en la Wikipedia? En los proyectos de Github, ¿el esfuerzo de programación (y frecuencia de commits) se distribuye de forma homogénea a lo largo del tiempo o suele estar concentrado? Estas comunidades, típicamente online, dejan registrada su actividad en grandes bases de datos, muchas de ellas disponibles públicamente. Sin embargo, el ciudadano de a pie no tiene ni las herramientas ni el conocimiento necesario para sacar conclusiones de esos datos. En este TFG desarrollamos una herramienta de análisis exploratorio y visualización de datos de la plataforma Wikia, sitio web colaborativo que permite la creación, edición y modificación del contenido y estructura de miles de páginas web de tipo enciclopedia basadas en la tecnología wiki. Nuestro objetivo es que esta aplicación web sea usable por cualquiera y que no requiera que el usuario sea un experto en Big Data para poder visualizar las gráficas de evolución o distribuciones del comportamiento interno de la comunidad, pudiendo modificar algunos de sus parámetros y visualizando cómo cambian. Como resultado de este trabajo se ha desarrollado una primera versión de la aplicación disponible en GitHub1 y en http://chartsup.esy.es/

A framework for modelling mobile radio access networks for intelligent fault management

Postprint