Identifying the role of natural resources in knowledge-based strategies of development

Knowledge has adopted a preferential role in the explanation of development while the evidence about the effect of natural resources in countries’ performance is more controversial in the economic literature. This paper tries to demonstrate that natural resources may positively affect growth in countries with a strong natural resources specialization pattern although the magnitude of these effects depend on the type of resources and on other aspects related to the production and innovation systems. The positive trajectory described by a set of national economies mainly specialized in natural resources and low-tech industries invites us to analyze what is the combination of factors that serves as engine for a sustainable development process. With panel data for the period 1996-2008 we estimate an applied growth model where both traditional factors and other more related to innovation and absorptive capabilities are taken into account. Our empirical findings show that according to the postulates of a knowledge-based approach, a framework that combines physical and intangible factors is more suitable for the definition of development strategies in those prosperous economies dominated by natural resources and connected activities, while the internationalization process of activities and technologies become also a very relevant aspect.

A Meta-analytic Review of Acceptance-Based Behavioral Interventions for the Treatment of Anxiety

The relative popularity of acceptance and commitment therapy (ACT) has grown in recent years, and inspired the development of contemporary acceptance-based treatment approaches. Acceptance-based therapies differ from traditional cognitive- behavior therapy (CBT) on pragmatic grounds, the import of which implicates the purpose of therapy. CBT utilizes exposure and cognitive change techniques primarily in service of symptom change outcomes; whereas, ACT utilizes exposure and acceptance for purposes of promoting psychological flexibility in the pursuit of personal values. The purpose of this meta-analytic study was to determine the relative efficacy of acceptance- based versus symptom-change behavioral approaches with anxiety disorders and to quantify this impact. A comprehensive literature search turned up 18 studies that met inclusion criteria for this analysis. An effect size was calculated using the standardized mean gain procedure for both the acceptance-based and symptom-change approaches, along with the waitlist control groups. The results demonstrate a large effect size for the acceptance-based approach (Weighted mean ES = .83) and a medium effect size for symptom-change approach (Weighted mean ES = .60). The waitlist control groups demonstrated a small effect size (Weighted mean ES = .24). Based on this review, it is suggested that graduate and internship programs in Clinical Psychology should promote evidence-based training in the use of acceptance-inspired behavioral therapies.

Design of online practical lessons in colorimetry

Applied colorimetry is an important module in the program of the elective subject "Colour Science: industrial applications”. This course is taught in the Optics and Optometry Degree and it has been used as a testing for the application of new teaching and assessment techniques consistent with the new European Higher Education Area. In particular, the main objective was to reduce the attendance to lessons and encourage the individual and collective work of students. The reason for this approach is based on the idea that students are able to work at their own learning pace. Within this dynamic work, we propose online lab practice based on Excel templates that our research group has developed ad-hoc for different aspects of colorimetry, such as conversion to different colour spaces, calculation of perceptual descriptors (hue, saturation, lightness), calculation of colour differences, colour matching dyes, etc. The practice presented in this paper is focused on the learning of colour differences. The session is based on a specific Excel template to compute the colour differences and to plot different graphs with these colour differences defined at different colour spaces: CIE ΔE, CIE ΔE94 and the CIELAB colour space. This template is implemented on a website what works by addressing the student work at a proper and organized way. The aim was to unify all the student work from a website, therefore the student is able to learn in an autonomous and sequential way and in his own pace. To achieve this purpose, all the tools, links and documents are collected for each different proposed activity to achieve guided specific objectives. In the context of educational innovation, this type of website is normally called WebQuest. The design of a WebQuest is established according to the criteria of usability and simplicity. There are great advantages of using WebQuests versus the toolbox “Campus Virtual” available in the University of Alicante. The Campus Virtual is an unfriendly environment for this specific purpose as the activities are organized in different sectors depending on whether the activity is a discussion, an activity, a self-assessment or the download of materials. With this separation, it is more difficult that the student follows an organized sequence. However, our WebQuest provides a more intuitive graphical environment, and besides, all the tasks and resources needed to complete them are grouped and organized according to a linear sequence. In this way, the student guided learning is optimized. Furthermore, with this simplification, the student focuses on learning and not to waste resources. Finally, this tool has a wide set of potential applications: online courses of colorimetry applied for postgraduate students, Open Course Ware, etc.

Integration of different models in the design of chemical processes: Application to the design of a power plant

With advances in the synthesis and design of chemical processes there is an increasing need for more complex mathematical models with which to screen the alternatives that constitute accurate and reliable process models. Despite the wide availability of sophisticated tools for simulation, optimization and synthesis of chemical processes, the user is frequently interested in using the ‘best available model’. However, in practice, these models are usually little more than a black box with a rigid input–output structure. In this paper we propose to tackle all these models using generalized disjunctive programming to capture the numerical characteristics of each model (in equation form, modular, noisy, etc.) and to deal with each of them according to their individual characteristics. The result is a hybrid modular–equation based approach that allows synthesizing complex processes using different models in a robust and reliable way. The capabilities of the proposed approach are discussed with a case study: the design of a utility system power plant that has been decomposed into its constitutive elements, each treated differently numerically. And finally, numerical results and conclusions are presented.

A biblioteca escolar como comunidade colaborativa : um contributo para o desenvolvimento profissional docente

Dissertação apresentada à Escola Superior de Educação do Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Supervisão e Avaliação Escolar.

Promover a parentalidade : recomendações perante as birras e momentos de alimentação da criança

Enquadramento: A parentalidade é um tema de saúde com muita relevância na sociedade atual, intervindo o seu exercício na promoção da saúde e bem-estar da criança. A parentalidade envolve acontecimentos stressantes, nomeadamente em situações de problemas de saúde e necessidades básicas e de resposta ao comportamento da criança, como é o caso do choro/birra e no momento de alimentação, procurando a maioria dos cuidadores responder ao problema de forma independente enquanto outros solicitam apoio dos profissionais de saúde. Objetivo: Identificar recomendações concretas, baseadas na evidência científica, de boas práticas e recomendações a transmitir aos pais para lidarem com o choro /birras e no momento da alimentação da criança. Métodos: Realizou-se uma revisão sistemática da literatura de estudos realizados nos idiomas português, inglês e espanhol, publicados entre 2009 e 2014, em bases de dados internacionais CINAHL® Plus with Full-Text, Nursing & Allied Health Collection, Cochrane Central Register of Controlled Trials; Cochrane Database of Systematic Reviews (CDSR) e Database of Abstracts of Reviews of Effects (DARE), MedicLatina , MEDLINE, com recurso a diversos descritores e operadores booleanos e recorrendo a dois revisores que avaliaram a qualidade dos estudos metodológicos. Resultados: Após avaliação crítica, foram excluídos 50 estudos e incluídos 7, sendo um de grau de evidência A, dois de evidência B e 4 de evidência D. Os outcomes evidenciaram que para gestão da parentalidade o aconselhamento deve feito pelo profissional de referência, que se necessário deverá acompanhar os pais através de contacto telefónico e visita domiciliária sobretudo se mães inexperientes. Os profissionais devem ampliar os seus conhecimentos sobre as dúvidas e preocupações que os pais têm sobre a educação dos seus filhos consultando os espaços de discussão online. A etnia e nacionalidade das mães tem forte impacto sobre os métodos usados para acalmar o bebé, pelo que os cuidados devem ser culturalmente congruentes. Na abordagem do choro/ birras torna-se necessário conhecer o normal desenvolvimento da criança e em que contextos surgem para minimizá-las, sendo importante que os pais dêem à criança atenção positiva, instituindo rotinas. Para melhorar o momento da alimentação os pais devem reconhecer que até aos dois anos decorre a janela de oportunidade de aprendizagem de rotinas e de novos sabores, salientando-se a importância do ambiente de atenção e reciprocidade durante as refeições. Conclusão: Os enfermeiros devem procurar orientar a sua prática com base nas evidências científicas e tendo como base o estudo efectuado, salienta-se a promoção da parentalidade positiva como central para a abordagem dos comportamentos de choro/birra e no momento da alimentação da criança. Palavras – chaves: educação parental, enfermeiro, aleitamento materno, alimentação, birra, choro, relação pais-filhos.

Lightweight Internet Traffic Classification - A Subject Based Solution with Word Embeddings

Internet traffic classification is a relevant and mature research field, anyway of growing importance and with still open technical challenges, also due to the pervasive presence of Internet-connected devices into everyday life. We claim the need for innovative traffic classification solutions capable of being lightweight, of adopting a domain-based approach, of not only concentrating on application-level protocol categorization but also classifying Internet traffic by subject. To this purpose, this paper originally proposes a classification solution that leverages domain name information extracted from IPFIX summaries, DNS logs, and DHCP leases, with the possibility to be applied to any kind of traffic. Our proposed solution is based on an extension of Word2vec unsupervised learning techniques running on a specialized Apache Spark cluster. In particular, learning techniques are leveraged to generate word-embeddings from a mixed dataset composed by domain names and natural language corpuses in a lightweight way and with general applicability. The paper also reports lessons learnt from our implementation and deployment experience that demonstrates that our solution can process 5500 IPFIX summaries per second on an Apache Spark cluster with 1 slave instance in Amazon EC2 at a cost of $ 3860 year. Reported experimental results about Precision, Recall, F-Measure, Accuracy, and Cohen's Kappa show the feasibility and effectiveness of the proposal. The experiments prove that words contained in domain names do have a relation with the kind of traffic directed towards them, therefore using specifically trained word embeddings we are able to classify them in customizable categories. We also show that training word embeddings on larger natural language corpuses leads improvements in terms of precision up to 180%.

Optimized CUDA-Based PDE Solver for Reaction Diffusion Systems on Arbitrary Surfaces

Partial differential equation (PDE) solvers are commonly employed to study and characterize the parameter space for reaction-diffusion (RD) systems while investigating biological pattern formation. Increasingly, biologists wish to perform such studies with arbitrary surfaces representing ‘real’ 3D geometries for better insights. In this paper, we present a highly optimized CUDA-based solver for RD equations on triangulated meshes in 3D. We demonstrate our solver using a chemotactic model that can be used to study snakeskin pigmentation, for example. We employ a finite element based approach to perform explicit Euler time integrations. We compare our approach to a naive GPU implementation and provide an in-depth performance analysis, demonstrating the significant speedup afforded by our optimizations. The optimization strategies that we exploit could be generalized to other mesh based processing applications with PDE simulations.

Enjeux éthiques en radiologie diagnostique : comment la bioéthique peut-elle contribuer à une meilleure radioprotection du patient?

Bien que les technologies d’imagerie soient un acquis réel de la médecine moderne, leur introduction ne semble pas avoir été précédée d’une démarche réflexive suffisante qui aurait permis d’anticiper les multiples enjeux que rencontre la pratique radiologique actuelle. En effet, à force de se focaliser sur les acquis techniques et scientifiques, le cadre de radioprotection en place semble ne pas avoir suffisamment considéré l’apport essentiel que représente la connaissance des aspects sociaux, éthiques et humains que peuvent amener des domaines comme la bioéthique. Cette insuffisance fait en sorte que l’on se retrouve aujourd’hui face à des enjeux importants relatifs à la radioprotection du patient comme la surutilisation des examens radiologiques ou encore le manque d’information des acteurs du milieu face aux risques des rayonnements. Après un état des lieux des enjeux éthiques en radiologie diagnostique ayant un impact sur la radioprotection médicale des patients, un enjeu majeur de la pratique actuelle, qui est la justification inadéquate des prescriptions d’examens radiologiques, sera analysé selon une approche par principes. De cet exercice, visant à démontrer comment l’éthique peut concrètement contribuer à la radioprotection, découle l’impératif d’une vision nouvelle et globale permettant de proposer des pistes de solution aux controverses liées à l’utilisation actuelle de l’imagerie. Dans une perspective de santé des populations, il est important de contribuer à la diminution de la banalisation du recours au rayonnement ionisant dans la pratique médicale diagnostique en alliant bioéthique et radioprotection. Ce projet de recherche se veut être une étape limitée, mais nécessaire dans l’établissement de ce dialogue interdisciplinaire.

A Knowledge-based System for Intelligent Support in Pharmacogenomics Evidence Assessment: Ontology-driven Evidence Representation, Retrieval, Classification and Interpretation

Thesis (Ph.D.)--University of Washington, 2016-06

No more free beer tomorrow? Economic policy and outcomes in Australia and New Zealand since 1984

There are no controlled experiments in macroeconomic policy, nor in systematic programs of microeconomic reform, but a comparison between New Zealand and Australia over the period since 1984 provides as close an approach to such an experiment as is ever likely to be possible. From quite similar starting points the two countries pursued liberal reform programs that differed sharply, mainly as a result of exogenous differences in constitutional structures and the personal styles of the central actors. Australia followed a more cautious, piecemeal, consensus-based approach, whereas New Zealand, in contrast, adopted a radical, rapid, 'purist' platform. The NZ reform package was generally seen by contemporary commentators as representing a 'textbook' model for best practice reform. However, Australia since 1984 has performed much better than New Zealand, whose per capita GDP growth indeed ranked at or near the bottom of the OECD. In this paper, we assess a variety of explanations for the divergences in policies and outcomes.

Pattern-based phylogenetic distance estimation and tree reconstruction

We have developed an alignment-free method that calculates phylogenetic distances using a maximum-likelihood approach for a model of sequence change on patterns that are discovered in unaligned sequences. To evaluate the phylogenetic accuracy of our method, and to conduct a comprehensive comparison of existing alignment-free methods (freely available as Python package decaf+py at http://www.bioinformatics.org.au), we have created a data set of reference trees covering a wide range of phylogenetic distances. Amino acid sequences were evolved along the trees and input to the tested methods; from their calculated distances we infered trees whose topologies we compared to the reference trees. We find our pattern-based method statistically superior to all other tested alignment-free methods. We also demonstrate the general advantage of alignment-free methods over an approach based on automated alignments when sequences violate the assumption of collinearity. Similarly, we compare methods on empirical data from an existing alignment benchmark set that we used to derive reference distances and trees. Our pattern-based approach yields distances that show a linear relationship to reference distances over a substantially longer range than other alignment-free methods. The pattern-based approach outperforms alignment-free methods and its phylogenetic accuracy is statistically indistinguishable from alignment-based distances.

On the simultaneous use of clinical and microarray expression data in the cluster analysis of tissue samples

This paper considers a model-based approach to the clustering of tissue samples of a very large number of genes from microarray experiments. It is a nonstandard problem in parametric cluster analysis because the dimension of the feature space (the number of genes) is typically much greater than the number of tissues. Frequently in practice, there are also clinical data available on those cases on which the tissue samples have been obtained. Here we investigate how to use the clinical data in conjunction with the microarray gene expression data to cluster the tissue samples. We propose two mixture model-based approaches in which the number of components in the mixture model corresponds to the number of clusters to be imposed on the tissue samples. One approach specifies the components of the mixture model to be the conditional distributions of the microarray data given the clinical data with the mixing proportions also conditioned on the latter data. Another takes the components of the mixture model to represent the joint distributions of the clinical and microarray data. The approaches are demonstrated on some breast cancer data, as studied recently in van't Veer et al. (2002).

Applying a disciplined approach to the development of a context-aware communication application

Pervasive computing applications must be engineered to provide unprecedented levels of flexibility in order to reconfigure and adapt in response to changes in computing resources and user requirements. To meet these challenges, appropriate software engineering abstractions and infrastructure are required as a platform on which to build adaptive applications. In this paper, we demonstrate the use of a disciplined, model-based approach to engineer a context-aware Session Initiation Protocol (SIP) based communication application. This disciplined approach builds on our previously developed conceptual models and infrastructural components, which enable the description, acquisition, management and exploitation of arbitrary types of context and user preference information to enable adaptation to context changes

Chaos Theory as an Approach to Understanding MICE in Time of Crisis

MICE (meetings, incentives, conventions, and exhibitions), has generated high foreign exchange revenue for the economy worldwide. In Thailand, MICE tourists are recognized as ‘quality’ visitors, mainly because of their high-spending potential. Having said that, Thailand’s MICE sector has been influenced by a number of crises following September 11, 2001. Consequently, professionals in the MICE sector must be prepared to deal with such complex phenomena of crisis that might happen in the future. While a number of researches have examined the complexity of crises in the tourism context, there has been little focus on such issues in the MICE sector. As chaos theory provides a particularly good model for crisis situations, it is the aim of this paper to propose a chaos theory-based approach to the understanding of complex and chaotic system of the MICE sector in time of crisis.