Diversity and commonality in national identities: an exploratory analysis of cross-national patterns

Issues of boundary maintenance are implicit in all studies of national identity. By definition, national communities consist of those who are included but surrounded (literally or metaphorically) by those who are excluded. Most extant research on national identity explores criteria for national membership largely in terms of official or public definitions described, for example, in citizenship and immigration laws or in texts of popular culture. We know much less about how ordinary people in various nations reason about these issues. An analysis of cross-national (N = 23) survey data from the 1995 International Social Science Program reveals a core pattern in most of the countries studied. Respondents were asked how important various criteria were in being 'truly' a member of a particular nation. Exploratory factor analysis shows that these items cluster in terms of two underlying dimensions. Ascriptive/objectivist criteria relating to birth, religion and residence can be distinguished from civic/voluntarist criteria relating to subjective feelings of membership and belief in core institutions. In most nations the ascriptive/objectivist dimension of national identity was more prominent than the subjective civic/voluntarist dimension. Taken overall, these findings suggest an unanticipated homogeneity in the ways that citizens around the world think about national identity. To the extent that these dimensions also mirror the well-known distinction between ethnic and civic national identification, they suggest that the former remains robust despite globalization, mass migration and cultural pluralism. Throughout the world official definitions of national identification have tended to shift towards a civic model. Yet citizens remain remarkably traditional in outlook. A task for future research is to investigate the macrosociological forces that produce both commonality and difference in the core patterns we have identified.

Does independent component analysis play a role in unmixing hyperspectral data?

Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a linear mixture of the constituent spectra (endmember spectra) weighted by the correspondent abundance fractions (sources); 2)sources are statistically independent. Independent factor analysis (IFA) extends ICA to linear mixtures of independent sources immersed in noise. Concerning hyperspectral data, the first assumption is valid whenever the multiple scattering among the distinct constituent substances (endmembers) is negligible, and the surface is partitioned according to the fractional abundances. The second assumption, however, is violated, since the sum of abundance fractions associated to each pixel is constant due to physical constraints in the data acquisition process. Thus, sources cannot be statistically independent, this compromising the performance of ICA/IFA algorithms in hyperspectral unmixing. This paper studies the impact of hyperspectral source statistical dependence on ICA and IFA performances. We conclude that the accuracy of these methods tends to improve with the increase of the signature variability, of the number of endmembers, and of the signal-to-noise ratio. In any case, there are always endmembers incorrectly unmixed. We arrive to this conclusion by minimizing the mutual information of simulated and real hyperspectral mixtures. The computation of mutual information is based on fitting mixtures of Gaussians to the observed data. A method to sort ICA and IFA estimates in terms of the likelihood of being correctly unmixed is proposed.

As competências dos técnicos de radiologia: um contributo para a sua identificação e definição

Mestrado em Intervenção Sócio-Organizacional em Saúde - Ramo de especialização: Políticas de Administração e Gestão de Serviços de Saúde

Validity and reliability of a health care service evaluation instrument for tuberculosis

OBJECTIVE To evaluate the validity and reliability of an instrument that evaluates the structure of primary health care units for the treatment of tuberculosis.METHODS This cross-sectional study used simple random sampling and evaluated 1,037 health care professionals from five Brazilian municipalities (Natal, state of Rio Grande do Norte; Cabedelo, state of Paraíba; Foz do Iguaçu, state of Parana; Sao José do Rio Preto, state of Sao Paulo, and Uberaba, state of Minas Gerais) in 2011. Structural indicators were identified and validated, considering different methods of organization of the health care system in the municipalities of different population sizes. Each structure represented the organization of health care services and contained the resources available for the execution of health care services: physical resources (equipment, consumables, and facilities); human resources (number and qualification); and resources for maintenance of the existing infrastructure and technology (deemed as the organization of health care services). The statistical analyses used in the validation process included reliability analysis, exploratory factor analysis, and confirmatory factor analysis.RESULTS The validation process indicated the retention of five factors, with 85.9% of the total variance explained, internal consistency between 0.6460 and 0.7802, and quality of fit of the confirmatory factor analysis of 0.995 using the goodness-of-fit index. The retained factors comprised five structural indicators: professionals involved in the care of tuberculosis patients, training, access to recording instruments, availability of supplies, and coordination of health care services with other levels of care. Availability of supplies had the best performance and the lowest coefficient of variation among the services evaluated. The indicators of assessment of human resources and coordination with other levels of care had satisfactory performance, but the latter showed the highest coefficient of variation. The performance of the indicators “training” and “access to recording instruments” was inferior to that of other indicators.CONCLUSIONS The instrument showed feasibility of application and potential to assess the structure of primary health care units for the treatment of tuberculosis.

Unmixing hyperspectral data: independent and dependent component analysis

The development of high spatial resolution airborne and spaceborne sensors has improved the capability of ground-based data collection in the fields of agriculture, geography, geology, mineral identification, detection [2, 3], and classification [4–8]. The signal read by the sensor from a given spatial element of resolution and at a given spectral band is a mixing of components originated by the constituent substances, termed endmembers, located at that element of resolution. This chapter addresses hyperspectral unmixing, which is the decomposition of the pixel spectra into a collection of constituent spectra, or spectral signatures, and their corresponding fractional abundances indicating the proportion of each endmember present in the pixel [9, 10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. The linear mixing model holds when the mixing scale is macroscopic [13]. The nonlinear model holds when the mixing scale is microscopic (i.e., intimate mixtures) [14, 15]. The linear model assumes negligible interaction among distinct endmembers [16, 17]. The nonlinear model assumes that incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [18]. Under the linear mixing model and assuming that the number of endmembers and their spectral signatures are known, hyperspectral unmixing is a linear problem, which can be addressed, for example, under the maximum likelihood setup [19], the constrained least-squares approach [20], the spectral signature matching [21], the spectral angle mapper [22], and the subspace projection methods [20, 23, 24]. Orthogonal subspace projection [23] reduces the data dimensionality, suppresses undesired spectral signatures, and detects the presence of a spectral signature of interest. The basic concept is to project each pixel onto a subspace that is orthogonal to the undesired signatures. As shown in Settle [19], the orthogonal subspace projection technique is equivalent to the maximum likelihood estimator. This projection technique was extended by three unconstrained least-squares approaches [24] (signature space orthogonal projection, oblique subspace projection, target signature space orthogonal projection). Other works using maximum a posteriori probability (MAP) framework [25] and projection pursuit [26, 27] have also been applied to hyperspectral data. In most cases the number of endmembers and their signatures are not known. Independent component analysis (ICA) is an unsupervised source separation process that has been applied with success to blind source separation, to feature extraction, and to unsupervised recognition [28, 29]. ICA consists in finding a linear decomposition of observed data yielding statistically independent components. Given that hyperspectral data are, in given circumstances, linear mixtures, ICA comes to mind as a possible tool to unmix this class of data. In fact, the application of ICA to hyperspectral data has been proposed in reference 30, where endmember signatures are treated as sources and the mixing matrix is composed by the abundance fractions, and in references 9, 25, and 31–38, where sources are the abundance fractions of each endmember. In the first approach, we face two problems: (1) The number of samples are limited to the number of channels and (2) the process of pixel selection, playing the role of mixed sources, is not straightforward. In the second approach, ICA is based on the assumption of mutually independent sources, which is not the case of hyperspectral data, since the sum of the abundance fractions is constant, implying dependence among abundances. This dependence compromises ICA applicability to hyperspectral images. In addition, hyperspectral data are immersed in noise, which degrades the ICA performance. IFA [39] was introduced as a method for recovering independent hidden sources from their observed noisy mixtures. IFA implements two steps. First, source densities and noise covariance are estimated from the observed data by maximum likelihood. Second, sources are reconstructed by an optimal nonlinear estimator. Although IFA is a well-suited technique to unmix independent sources under noisy observations, the dependence among abundance fractions in hyperspectral imagery compromises, as in the ICA case, the IFA performance. Considering the linear mixing model, hyperspectral observations are in a simplex whose vertices correspond to the endmembers. Several approaches [40–43] have exploited this geometric feature of hyperspectral mixtures [42]. Minimum volume transform (MVT) algorithm [43] determines the simplex of minimum volume containing the data. The MVT-type approaches are complex from the computational point of view. Usually, these algorithms first find the convex hull defined by the observed data and then fit a minimum volume simplex to it. Aiming at a lower computational complexity, some algorithms such as the vertex component analysis (VCA) [44], the pixel purity index (PPI) [42], and the N-FINDR [45] still find the minimum volume simplex containing the data cloud, but they assume the presence in the data of at least one pure pixel of each endmember. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. Hyperspectral sensors collects spatial images over many narrow contiguous bands, yielding large amounts of data. For this reason, very often, the processing of hyperspectral data, included unmixing, is preceded by a dimensionality reduction step to reduce computational complexity and to improve the signal-to-noise ratio (SNR). Principal component analysis (PCA) [46], maximum noise fraction (MNF) [47], and singular value decomposition (SVD) [48] are three well-known projection techniques widely used in remote sensing in general and in unmixing in particular. The newly introduced method [49] exploits the structure of hyperspectral mixtures, namely the fact that spectral vectors are nonnegative. The computational complexity associated with these techniques is an obstacle to real-time implementations. To overcome this problem, band selection [50] and non-statistical [51] algorithms have been introduced. This chapter addresses hyperspectral data source dependence and its impact on ICA and IFA performances. The study consider simulated and real data and is based on mutual information minimization. Hyperspectral observations are described by a generative model. This model takes into account the degradation mechanisms normally found in hyperspectral applications—namely, signature variability [52–54], abundance constraints, topography modulation, and system noise. The computation of mutual information is based on fitting mixtures of Gaussians (MOG) to data. The MOG parameters (number of components, means, covariances, and weights) are inferred using the minimum description length (MDL) based algorithm [55]. We study the behavior of the mutual information as a function of the unmixing matrix. The conclusion is that the unmixing matrix minimizing the mutual information might be very far from the true one. Nevertheless, some abundance fractions might be well separated, mainly in the presence of strong signature variability, a large number of endmembers, and high SNR. We end this chapter by sketching a new methodology to blindly unmix hyperspectral data, where abundance fractions are modeled as a mixture of Dirichlet sources. This model enforces positivity and constant sum sources (full additivity) constraints. The mixing matrix is inferred by an expectation-maximization (EM)-type algorithm. This approach is in the vein of references 39 and 56, replacing independent sources represented by MOG with mixture of Dirichlet sources. Compared with the geometric-based approaches, the advantage of this model is that there is no need to have pure pixels in the observations. The chapter is organized as follows. Section 6.2 presents a spectral radiance model and formulates the spectral unmixing as a linear problem accounting for abundance constraints, signature variability, topography modulation, and system noise. Section 6.3 presents a brief resume of ICA and IFA algorithms. Section 6.4 illustrates the performance of IFA and of some well-known ICA algorithms with experimental data. Section 6.5 studies the ICA and IFA limitations in unmixing hyperspectral data. Section 6.6 presents results of ICA based on real data. Section 6.7 describes the new blind unmixing scheme and some illustrative examples. Section 6.8 concludes with some remarks.

Constructing and validating a scale of employee satisfaction with HRM practices in the healthcare context

The concept of HRM perceptions is a growing interest in the literature, as one of the antecedents of HRM outcomes. Regardless, not only the cognitive aspect of perception is interesting in this field (what you think) but also the affective perspective is of interest (how you feel about it). In this study we propose a scale for assessing satisfaction with the perceptions of the HRM practices. A 24 item Likert-type scale was developed considering literature review, to assess subjects’ satisfaction with Human Resources Practices in a healthcare setting. Talked reflections were held and a survey encompassing all workers from a Hospital was conducted later, with a sample of 922 subjects. Exploratory and Confirmatory Factor Analysis were performed; reliability was tested using Cronbach’s alpha. The scale presents good psychometric properties with alpha values that range from .71 to .91. Exploratory and Confirmatory Factor Analysis demonstrated that the scale presents a very good fit with CFI= 0.94, AGFI= 0.88, and RMSEA= 0.07. The present study represents a first approach in the usage of this scale and despite having a large sample, respondents originate from a single institution. This study presents a pertinent scale towards measuring a seldom explored construct of the worker-organization relationship. The scale is parsimonious and results are promising. There seems to be very little research on how subjects feel about the HRM practices. This construct, very much in line with more recent studies concerning worker perceptions can be especially interesting in the context of the worker-organization relationship.

High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning

High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.

Análise do processo de desenvolvimento de novos produtos na indústria

No âmbito da unidade curricular Dissertação/Projeto do 2º ano do Mestrado em Engenharia mecânica – Ramo Gestão Industrial do Instituto Superior de Engenharia do Porto, o presente trabalho enquadra-se na análise do processo de desenvolvimento de novos produtos na indústria, como suporte à gestão de projetos. No seguimento da necessidade que as empresas têm cada vez mais presente em investirem na melhoria do processo de desenvolvimento de novos produtos, isso conduz a uma garantia de cumprimento de prazos e qualidade, à redução de custos, aumento de vendas, aumento de receitas, satisfação de clientes, entre outros benefícios. O trabalho foi desenvolvido, na empresa Doureca Produtos Plásticos, Lda, no Departamento de Engenharia. À medida que o projeto de melhoria avançou, foi cativante observar como os resultados obtidos contribuíam para a alteração dos paradigmas de trabalho da empresa e o impacto na melhoria continua, em função do caminho traçado da busca da máxima eficiência e eficácia. As ferramentas de melhoria são o suporte ideal, que ajudam a atingir a meta da sustentabilidade dos negócios, mas o maior obstáculo, continua a ser o fator humano. A implementação destes sistemas de melhoria requer uma maior abertura para a utilização das respetivas ferramentas, e uma mobilização dos diferentes intervenientes com vista à obtenção de resultados. Após uma avaliação da situação inicial, foram identificados pontos a melhorar na organização, de seguida foi definida a visão do que deveria ser implementado tendo em conta a estratégia da empresa, e posteriormente executado um plano de implementação das melhorias. No decurso do trabalho foram implementadas novas ferramentas de auxílio para o desenvolvimento de novos produtos como suporte à gestão de projetos. Estas ferramentas são apoiadas na filosofia LEAN, de forma a eliminar desperdícios e criar valor através da melhor utilização dos recursos.

Cluster analysis and segmentation of Global M&A transactions

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Envelhecimento ativo, capacidade funcional e atividade física: análise de fatores que contextualizam o processo de envelhecimento e sua percepção por parte de pessoas idosas

RESUMO: O envelhecimento populacional saudável ocupa parte da agenda do processo do envelhecimento humano, retratando uma preocupação social com repercussões nas economias societárias. O processo de envelhecimento, quando abordado fora do paradigma do envelhecimento saudável, desconsidera socialmente o potencial humano das pessoas idosas, promovendo a segregação e motivando atitudes de preconceito e discriminação, além de desperdiçar a experiência, o saber, a cultura e a capacidade de participação da pessoa idosa como contributo para a sociedade a que ela está inserida. O foco central da Política Nacional de Saúde do Idoso brasileira se inscreve na promoção de um envelhecimento saudável, nomeadamente por meio da manutenção da capacidade funcional ao valorizar a autonomia, a independência física e a integridade mental da pessoa idosa. O desafio para a viabilização do processo de envelhecimento ativo e bem-sucedido consiste na maximização das capacidades, potencialidades e recursos pessoais, comunitários e políticos. Pressupõe, também, uma concepção ampliada de viver, contextualizada no contínuo da vida, capaz de externar a preocupação com a saúde e o bem-estar, integrando as pessoas em fase de envelhecimento no contexto do ciclo de vida. Diante do exposto, a presente investigação objetivou conhecer os determinantes de envelhecimento ativo e bem-sucedido, numa população em processo de envelhecimento e relacioná-los com as ―práticas/conteúdos‖ e representações / significados‖ sobre o envelhecimento, as atividades físicas e a capacidade funcional. A investigação foi estruturada em três estudos: no primeiro foi criado e testado o instrumento ―Envelhecimento ativo, capacidade funcional e atividade física‖, na cidade de Lisboa, Portugal, e posteriormente realizada sua adaptação cultural e linguística do português de Portugal para o do Brasil. No segundo foi feita uma pesquisa observacional do tipo survey, descritiva e exploratória com o objetivo de conhecer as relações esteabelecidas entre o envelhecimento bem-sucedido, ativo, a atividade física e a capacidade funcional de uma população em processo de envelhecimento; e no terceiro momento foi realizado um estudo de cariz qualitativo com o objetivo de captar as percepções e comportamentos dos entrevistados diante do fato de se sentirem ou não pessoas idosas ou envelhecidas. Foram adotados os seguintes referenciais teóricos: envelhecimento ativo, envelhecimento bem sucedido, concepção muldidimensional do processual do envelhecimento (determinantes pessoais, familiares, sociais, psicocomunicacionais, econômicos e de saúde), atividade física e capacidade funcional e abordados à luz do perfil demográfico e da experiência das realidades européias, americana e brasileira. Foram triagulados métodos e técnicas (entrevista individual gravada, mensurações e questionário). Participaram pessoas com 60 anos de idade ou mais vinculadas que frequentam dois programas públicos destinados às pessoas idosas na cidade de Juiz de Fora, Minas Gerais, Brasil e foram excluidas as participações de pessoas com dependência para atividades da vida diária, para as atividades instrumentais da vida diária e com alteração do nível de consciência. Amostra aleatória estratificada composta por 326 participantes na qual foram realizadas mensurações e amostra por tipicidade construída a partir da base amostral composta de 87 participantes na qual foi realizada entrevista individual gravada. Atendidos todos os requisitos éticos e legais de pesquisa envolvendo seres humanos, segundo legislação brasileira. Aplicada Análise Fatorial e selecionados 11 fatores com 31 variáveis que contemplaram os determinantes do processo de envelhecimento ativo. Realizado reajustamento da análise fatorial,por questão de coerência conceptual, sendo selecionado oito fatores nomeados de acordo com o referencial teórico adotado que resultou em 25 variáveis que abordaram a participação em atividades e acesso aos serviços de saúde; à atividade física; à convivência, interação e avaliação do contato social; à escolaridade e renda; à saúde percebida e ao voluntariado. Utilizado como marcador para a atividade aeróbia o perfil da sobrecarga da atividade física semanal em consonância com diretrizes e recomendações de atividades aeróbias de intensidade moderada para as pessoas idosas. Identificado que 60,7% dos entrevistados realizam atividade física insuficiente. Os indicadores antropométricos utilizados evidenciaram índices de sobrepeso e de obesidade tanto entre os homens quanto entre as mulheres. Houve correlação do índice de massa corporal (IMC) com as medidas efetuadas segundo as faixas etárias. A análise inferencial possibilitou relacionar os determinantes do envelhecimento ativo, as medidas antropométricas e as variáveis sociodemográficas (escolaridade e idade), sendo obtidos os seguintes destaques: 1) à medida em que a idade aumenta, diminuem os níveis de prática da atividade física, dos contatos com as pessoas para conversar (das relações de convivência), dos trabalhos de voluntariado e das relações familiares e intergeracionais; 2) foi identificado um alinhamento conceptual dos diferentes determinantes concorrentes para um envelhecimento ativo à luz da prática da atividade física com a convivência e interação com os familiares e com auto-avaliação positiva da saúde percebida e atividade física; 3) quanto maior a idade menor os anos de escolaridade; 4) a diminuição da área transversa do braço e do IMC à medida que a idade aumenta, retratou diminuição da adiposidade corporal que está associada à perda da massa magra. A categorização do discurso dos 87 entrevistados permitiu captar a percepção do processo de envelhecimento por dois critérios antagônicos: preservação da autonomia e presença da deterioração. Foi caracterizado o sistema de crenças dos participantes com 1090 emissões de crenças. Houve tendência do sistema de crenças à centralidade com 638 (58,6%) crenças retratando concepções e situações difíceis de serem modificadas por processos educacionais. Os resultados obtidos diagnosticaram e reiteraram a tendência de incremento numérico de pessoas com 60 anos de idade ou mais na cidade brasileira de Juiz de Fora. Embora o estatuto do idoso esteja alicerçado em princípios do envelhecimento saudável e ativo ficou evidenciado a necessidade de estratégias para implementá-la com vistas a impactos sociais, econômicas e de saúde na perspectiva da prática de atividade física e da preservação da capacidade funcional. Constituem contribuição da presente investigação: 1) fundamentos teóricos e informação sobre juiz-foranos com 60 anos de idade ou mais segundo dimensões social, econômica, cultural e espiritual numa concepção ampliada de saúde; 2) abordagem do envelhecimento de forma processual e integrada, multidimensional e articulada com o ciclo da vida; 3) diagnóstico do grau de autonomia dos participantes permitindo subsidiar decisões para melhorar a capacidade funcional dos mesmos; 4) processo investigativo utilizando modelos teóricos que permitiram estabelecer um diagnóstico local e contextualizar o processo de envelhecimento para os participantes e 5) sobrecarga semanal de atividade física e os indicadores antropométricos dos participantes a ponto de subsidiar parâmetros de indicação terapêutica para manutenção da capacidade funcional.-------- ABSTRACT: The populational healthy aging holds part of the process of the human aging agenda, portraying a social concern with the repercussion in societary economies. The aging process when addressed out of the healthy aging paradigm socially disregard the human potential of the elderly, promoting segregation and motivating acts of prejudice and discrimination, in addition to the waste of experience, knowledge, culture and the participatory capacity of an older person in contributting to the society they are a part of. The Brazilian National Health Policy for the Elderly has its main focus in promoting the healthy aging, namely through the maintenance of the functional capacity by valuing the autonomy, physical independence and the mental integrity of the elderly person. The challenge of enabling the process of a successful and active aging lays in maximazing the capabilities, potencialities and personal, communitary and political resources. It infers additionaly a broad view of living, contextualized in the continuum of life, able to express concern with health and well-being, integrating the people in aging phase to the context of the life cycle. Hence, this research aimed to learn the determinants of active and successful aging in a population in aging process and relate them with the "practices/contents" and "representations/meanings" about aging, the physical activities and functional capacity. The investigation was structured in three studies: in the first it was developed and tested the instrument "Active Aging, Functional Capacity and Physical Activity" in the city of Lisboa, Portugal, and afterwards it was culturally and linguistically adapted from Portugal Portuguese to Brazilian Portuguese. The second study was an observational research with survey, descriptive and exploratory methods which aimed to learn the relations established between the successful aging, active aging, the physical activity and the functional capacity of a population in aging process; and the third comprised a qualitative study with the objective to collect the understanding and behavior of the interviewees based on the fact of either they saw themselves as elder or aged person or not. As theoretical framework were explored: active aging, successful aging, multidimensional concept of aging process (personal, familial, social, psycho-communicational, economic determinants), physical activity and functional capacity and explored based in demographic profile and in the European, American a Brazilian realities. Performed triangulation of methods and tecniques (recorded individual interviews, measurements and questionnaires). Participants were aged 60 or older included in two public services for the elderly population in the city of Juiz de Fora, Minas Gerais, Brazil and were excluded persons with dependency in both daily activities and instrumental daily activities and the persons with altered level of conciousness. Stratified ramdon sample of 326 participants in which were performed the measurements and typicality sample constructed from the sample basis of 87 participants whereupon the recorded individual interview was performed. Conforming to all the ethical and legal requirements of research with human beings according to the Brazilian legislation. Applied Factor Analysis and selected 11 factors and 31 variables that convey the determinants of the active aging process. Executed reajustment of factor analysis, for conceptual coherence, being selected eight factors named accordingly to the theoretical framework that resulted in 25 variables which approached the participation in activities and access to health care services; to physical activity; to coexistence, interaction and evaluation of social contact; to scholarity and income; to perceived health and volunteering. Used as marker to aerobic activity the profile of weekly physical activity overload in accordance with guidelines and reccomendations for moderate-intensity aerobic activities for older people. Identified that 60,7% of interviewees practice enough physical activity. Anthropometric markers evidence overweight and obesity levels both within men and women. There was correlation between body mass index (BMI) and measures carried out according to age ranges. The inferential analysis allowed relating the active aging determinants, the anthropometric measurements and sociodemographic variables (scholarity and age), obtaining the following highlights: 1) to the extent that age increases, lowers the levels of physical activity practice, of contact with people to talk to (social relationships), of volunteering work and familial and intergenerational relationships; 2) it was identified a conceptual alignment of diferent determinants concurrent to an active aging in light of the physical activity practice with the relationship and interaction of family and with positive self-assessment of perceived health and physical activity; 3) the older the person, lower are scholarity levels; 4) the decrease of the cross-sectional area of the arm and BMI as the age increases portrayed decreased adiposity of the body that is associated with loss of lean body mass. The categorization of the speech of 87 interviewees allowed to collect the understanding of the aging process by two opposite criteria: preservation of autonomy and existance of decline. It marked the belief system of participants with 1090 beliefs expressed. With tendency of the belief system to centrality with 638(58,6%) beliefs showing concepts and dificult situations to be changed through educational processes. The results diagnosed and reiterated the tendency of increase in the number of people aged 60 or older in the Brazilian city of Juiz de Fora. Although the elderly statute is built upon principles of healthy and active aging it was evident the need of strategies to implement it aiming at social, economic and health impacts in the perspective of physical education and preservation of the functional capacity. Constitute contributions of this study: 1) theoretical fundaments and data about Juiz de Fora citizens aged 60 or more according to social, economic, cultural and spiritual dimensions in a broad concept of health; 2) approach of aging in a procedural and integrative, multidimensional manner, articulated with the life cycle; 3) diagnosis of degree of autonomy of participants enabling decisions on how to improve their functional capacities; 4) investigative process using theoretical models which permit to stablish a local diagnosis and contextualize the aging process of participants and 5) weekly overload of physical activity and anthropometric indexes of participants as to subsidize parameters to therapeutic indication to the maintainence of functional capacity.

Impact of the HRM content (i.e. practices) and process (i.e. strength) on individual and organizational outcomes, in the hotel industry

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Analyzing the impact of HRM Systems on the organizational climate, culture and outcomes: The mediating role of HMR Strength, organizational climate and culture

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Exploring the factor structure of neurocognitive measures in older individuals

Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate.

Entrepreneurial Orientation, Intangible Assets and Firm Growth: the impact of ‘Spirit and Material’ on the growth of Chinese private firms

This paper has three contributions. First, it shows how field work within small firms in PR Chinese has provided new evidence which enables us to measure and calibrate Entrepreneurial Orientation (EO), as ‘spirit’, and Intangible Assets (IA), as ‘material’, for use in models of small firm growth. Second, it uses inter-item correlation analysis and both exploratory and confirmatory factor analysis to provide new measures of EO and IA, in index and in vector form, for use in econometric models of firm growth. Third, it estimates two new econometric models of small firm employment growth in PR China, under the null hypothesis of Gibrat’s Law, using our two new index-based and vector-based measures of EO and IA. Estimation is by OLS with adjustment for heteroscedasticity, and for sample selectivity. Broadly, it finds that EO attributes have had little significant impact on small firm growth, and indeed innovativeness and pro-activity paradoxically may even dampen growth. However, IA attributes have had a positive and significant impact on growth, with networking, and technological knowledge being of prime importance, and intellectual property and human capital being of lesser but still significant importance. In the light of these results, Gibrat’s Law is generalized, and Jovanovic’s learning theory is extended, to emphasise the importance of IA to growth. These findings cast new empirical light on the oft-quoted national slogan in PR China of “spirit and material”. So far as small firms are concerned, this paper suggests that their contribution to PR China’s remarkable economic growth is not so much attributable to the ‘spirit’ of enterprise (as suggested by propaganda) as, more prosaically, to the pursuit of the ‘material’.

Dimensionality of the Rosenberg self-esteem scale and its relationships with the three- and five-factor personality models

The authors investigated the dimensionality of the French version of the Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1965) using confirmatory factor analysis. We tested models of 1 or 2 factors. Results suggest the RSES is a 1-dimensional scale with 3 highly correlated items. Comparison with the Revised NEO-Personality Inventory (NEO-PI-R; Costa, McCrae, & Rolland, 1998) demonstrated that Neuroticism correlated strongly and Extraversion and Conscientiousness moderately with the RSES. Depression accounted for 47% of the variance of the RSES. Other NEO-PI-R facets were also moderately related with self-esteem.