School health promotion and teacher professional identity

PURPOSE – Health and education are inextricably linked. Health promotion sits somewhat uncomfortably within schools, often remaining a marginal aspect of teachers’ work. The purpose of this paper is to examine the compatibility of an HP-initiative with teacher professional identity. DESIGN/METHODOLOGY/APPROACH – A qualitative research design was adopted consisting of semi-structured interviews. In total, 49 teachers in two school districts in the Auvergne region in central France were interviewed in depth post having completed three years’ involvement in a health promoting schools initiative called “Learning to Live Better Together” (“Apprendre a Mieux Vivre Ensemble”). FINDINGS – Teachers in the study had a broad conceptualisation of their role in health promotion. In keeping with international trends, there was more success at classroom than at whole school level. While generally teachers can be reluctant to engage with health promotion, the teachers in this study identified having little difficulty in understanding their professional identity as health promoters and identified strong compatibility with the HP-initiative. PRACTICAL IMPLICATIONS – Teachers generally viewed professional development in health promotion in a positive light when its underlying values were commensurate with their own and when the context was seen as compatible with the school mission. The promotion of health in schools needs to be sensitive to professional identity and be tailored specifically to blend more successfully with current teacher identity and practice. ORIGINALITY/VALUE – The promotion of health in schools needs to be sensitive to professional identity and be tailored specifically to blend more successfully with current teacher identity and practice.

Specification and testing of multiplicative time-varying GARCH models with applications

In this article, we develop a specification technique for building multiplicative time-varying GARCH models of Amado and Teräsvirta (2008, 2013). The variance is decomposed into an unconditional and a conditional component such that the unconditional variance component is allowed to evolve smoothly over time. This nonstationary component is defined as a linear combination of logistic transition functions with time as the transition variable. The appropriate number of transition functions is determined by a sequence of specification tests. For that purpose, a coherent modelling strategy based on statistical inference is presented. It is heavily dependent on Lagrange multiplier type misspecification tests. The tests are easily implemented as they are entirely based on auxiliary regressions. Finite-sample properties of the strategy and tests are examined by simulation. The modelling strategy is illustrated in practice with two real examples: an empirical application to daily exchange rate returns and another one to daily coffee futures returns.

Exploring the role of O-Mannosylation in the modulation of E-Cadherin function in Gastric Cancer cell line models

Dissertação de mestrado em Bioquímica Aplicada – Biomedicina

Evaluating biomaterial-and microfluidic-based 3D tumor models

Cancer is a major cause of morbidity and mortality worldwide, with a disease burden estimated to increase in the coming decades. Disease heterogeneity and limited information on cancer biology and disease mechanisms are aspects that 2D cell cultures fail to address. We review the current "state-of-the-art" in 3D Tissue Engineering (TE) models developed for and used in cancer research. Scaffold-based TE models and microfluidics, are assessed for their potential to fill the gap between 2D models and clinical application. Recent advances in combining the principles of 3D TE models and microfluidics are discussed, with a special focus on biomaterials and the most promising chip-based 3D models.

Single line for assembly just-in-sequence multiple models

Programa Doutoral em Líderes para as Indústrias Tecnológicas

Metabolic engineering with multi-objective optimization of kinetic models

Kinetic models have a great potential for metabolic engineering applications. They can be used for testing which genetic and regulatory modifications can increase the production of metabolites of interest, while simultaneously monitoring other key functions of the host organism. This work presents a methodology for increasing productivity in biotechnological processes exploiting dynamic models. It uses multi-objective dynamic optimization to identify the combination of targets (enzymatic modifications) and the degree of up- or down-regulation that must be performed in order to optimize a set of pre-defined performance metrics subject to process constraints. The capabilities of the approach are demonstrated on a realistic and computationally challenging application: a large-scale metabolic model of Chinese Hamster Ovary cells (CHO), which are used for antibody production in a fed-batch process. The proposed methodology manages to provide a sustained and robust growth in CHO cells, increasing productivity while simultaneously increasing biomass production, product titer, and keeping the concentrations of lactate and ammonia at low values. The approach presented here can be used for optimizing metabolic models by finding the best combination of targets and their optimal level of up/down-regulation. Furthermore, it can accommodate additional trade-offs and constraints with great flexibility.

Development of computational and experimental methods for biomass composition and evaluation of its impact in genome-scale models prediction

The use of genome-scale metabolic models has been rapidly increasing in fields such as metabolic engineering. An important part of a metabolic model is the biomass equation since this reaction will ultimately determine the predictive capacity of the model in terms of essentiality and flux distributions. Thus, in order to obtain a reliable metabolic model the biomass precursors and their coefficients must be as precise as possible. Ideally, determination of the biomass composition would be performed experimentally, but when no experimental data are available this is established by approximation to closely related organisms. Computational methods however, can extract some information from the genome such as amino acid and nucleotide compositions. The main objectives of this study were to compare the biomass composition of several organisms and to evaluate how biomass precursor coefficients affected the predictability of several genome-scale metabolic models by comparing predictions with experimental data in literature. For that, the biomass macromolecular composition was experimentally determined and the amino acid composition was both experimentally and computationally estimated for several organisms. Sensitivity analysis studies were also performed with the Escherichia coli iAF1260 metabolic model concerning specific growth rates and flux distributions. The results obtained suggest that the macromolecular composition is conserved among related organisms. Contrasting, experimental data for amino acid composition seem to have no similarities for related organisms. It was also observed that the impact of macromolecular composition on specific growth rates and flux distributions is larger than the impact of amino acid composition, even when data from closely related organisms are used.

Predicting SO2 pollution incidents by means of additive models with optimum variable selection

The aim of this paper is to predict time series of SO2 concentrations emitted by coal-fired power stations in order to estimate in advance emission episodes and analyze the influence of some meteorological variables in the prediction. An emission episode is said to occur when the series of bi-hourly means of SO2 is greater than a specific level. For coal-fired power stations it is essential to predict emission epi- sodes sufficiently in advance so appropriate preventive measures can be taken. We proposed a meth- odology to predict SO2 emission episodes based on using an additive model and an algorithm for variable selection. The methodology was applied to the estimation of SO2 emissions registered in sampling lo- cations near a coal-fired power station located in Northern Spain. The results obtained indicate a good performance of the model considering only two terms of the time series and that the inclusion of the meteorological variables in the model is not significant.

Why should we expect worlds to collide? - Exploratory reflections departing from a case study analysis of “Jornal de Notícias” (Portugal)

As 2008 came to a close the avalanche of discourse on the demise of newspapers (and traditional media in general) grew to such an extent that consideration of any alternative scenario became almost difficult to utter. Academic articles, conferences, newspaper and magazine features were abundantly produced on thematic variations which went from ‘The End of Newspapers’ to ‘The End of Journalism’ (testing these expressions in a popular search engine we can easily get in excess of 23 thousand references for the first one and over 290 thousand references for the second one and there is even a dedicated ‘Newspaper Death Watch’ site with constant updates). The broad assumption of this production – particularly the one that identifies one possibility with the other – revolves around notions like the collapse of rigid business models, the breakdown of producer/user fidelity/trust, and the failings of a self-centred and entrenched professional (the journalist). The present seems to be enunciated as a ‘the end of days’ period, with images of irrevocable perdition funnelling our reasoning towards one single possible outcome – the imperious necessity of complete reinvention, not necessarily with the same agents.

Selfie: a força comunicacional do autorretrato que as redes sociais reinventaram

Dissertação de mestrado em Ciências da Comunicação (área de especialização em Informação e Jornalismo)

A perceção dos colaboradores do Grupo Conceito sobre o Relato de Negócio

Relatório de estágio de mestrado em Contabilidade

Modelos de negocio orientados al consumidor en los cibermedios españoles

La viabilidad de los cibermedios y los modelos de negocio que la sustenten son ya un tema  clásico  de  la  literatura  académica  y  profesional  en  el  ámbito  del  periodismo  electrónico. Consideramos relevante examinar las estrategias de ingresos orientadas al consumidor  de  los  cibermedios  españoles  en  un  contexto  de  madurez  de  la  prensa  digital que contrasta con la aguda crisis económica que vive en estos momentos el país.  Las  conclusiones  de  nuestro  estudio  señalan  la  convivencia  de  dos  modelos  de  negocio diametralmente distintos entre los cibermedios más vistos y de referencia en Internet en España y el establecimiento de estrategias de ‘suma de valor’ en aquellos cibermedios que han establecido sistemas de pago por consumo de contenidos.

A critical evaluation of methods for the reconstruction of tissue-specific models

Under the framework of constraint based modeling, genome-scale metabolic models (GSMMs) have been used for several tasks, such as metabolic engineering and phenotype prediction. More recently, their application in health related research has spanned drug discovery, biomarker identification and host-pathogen interactions, targeting diseases such as cancer, Alzheimer, obesity or diabetes. In the last years, the development of novel techniques for genome sequencing and other high-throughput methods, together with advances in Bioinformatics, allowed the reconstruction of GSMMs for human cells. Considering the diversity of cell types and tissues present in the human body, it is imperative to develop tissue-specific metabolic models. Methods to automatically generate these models, based on generic human metabolic models and a plethora of omics data, have been proposed. However, their results have not yet been adequately and critically evaluated and compared. This work presents a survey of the most important tissue or cell type specific metabolic model reconstruction methods, which use literature, transcriptomics, proteomics and metabolomics data, together with a global template model. As a case study, we analyzed the consistency between several omics data sources and reconstructed distinct metabolic models of hepatocytes using different methods and data sources as inputs. The results show that omics data sources have a poor overlapping and, in some cases, are even contradictory. Additionally, the hepatocyte metabolic models generated are in many cases not able to perform metabolic functions known to be present in the liver tissue. We conclude that reliable methods for a priori omics data integration are required to support the reconstruction of complex models of human cells.

Introduction [to Contact force models for multibody dynamics]

"Series: Solid mechanics and its applications, vol. 226"

Pure elastic contact force models

"Series: Solid mechanics and its applications, vol. 226"