Dermic diffusion and stratum corneum: a state of the art review of mathematical models

Transdermal biotechnologies are an ever increasing field of interest, due to the medical and pharmaceutical applications that they underlie. There are several mathematical models at use that permit a more inclusive vision of pure experimental data and even allow practical extrapolation for new dermal diffusion methodologies. However, they grasp a complex variety of theories and assumptions that allocate their use for specific situations. Models based on Fick's First Law found better use in contexts where scaled particle theory Models would be extensive in time-span but the reciprocal is also true, as context of transdermal diffusion of particular active compounds changes. This article reviews extensively the various theoretical methodologies for studying dermic diffusion in the rate limiting dermic barrier, the stratum corneum, and systematizes its characteristics, their proper context of application, advantages and limitations, as well as future perspectives.

Replica management in real-time Ada 95 applications

In this paper, we present some of the fault tolerance management mechanisms being implemented in the Multi-μ architecture, namely its support for replica non-determinism. In this architecture, fault tolerance is achieved by node active replication, with software based replica management and fault tolerance transparent algorithms. A software layer implemented between the application and the real-time kernel, the Fault Tolerance Manager (FTManager), is the responsible for the transparent incorporation of the fault tolerance mechanisms The active replication model can be implemented either imposing replica determinism or keeping replica consistency at critical points, by means of interactive agreement mechanisms. One of the Multi-μ architecture goals is to identify such critical points, relieving the underlying system from performing the interactive agreement in every Ada dispatching point.

Desigualdades na prevalência de cárie dentária não tratada em crianças pré-escolares no Brasil

OBJETIVO: Avaliar a influência de desigualdades sociais de ordem individual e contextual na experiência de cárie dentária não tratada em crianças no Brasil. MÉTODOS: Os dados sobre a prevalência de cárie dentária foram obtidos do Projeto Pesquisa Nacional de Saúde Bucal – SBBrasil 2010, levantamento epidemiológico de saúde bucal com amostra representativa para o país e cada uma de suas macrorregiões geográficas. Crianças de cinco anos de idade (n = 7.217) em 177 municípios foram examinadas e seus responsáveis responderam ao questionário. Características contextuais referentes aos municípios em 2010 (renda mediana, fluoretação da água e proporção de domicílios com abastecimento de água) foram informadas pela Fundação Instituto Brasileiro de Geografia e Estatística. O estudo de associação utilizou modelos multinível de análise de regressão de Poisson. RESULTADOS: A prevalência de cárie não tratada foi de 48,2%; mais da metade da amostra apresentou ao menos um dente decíduo com experiência de cárie. O índice de cárie na dentição decídua ceo-d médio foi 2,41, sendo maior para as regiões Norte e Nordeste. Crianças de cor da pele preta e parda, e aquelas com renda familiar menos elevada tiveram maior prevalência de cárie não tratada. No nível contextual, renda mediana no município e adição de flúor na água de abastecimento associaram-se inversamente com a prevalência do desfecho. CONCLUSÕES: Desigualdades na prevalência de cárie não tratada persistem, afetando as crianças com dentição decídua no Brasil. O planejamento de medidas públicas para a promoção de saúde bucal deve considerar o efeito de fatores contextuais como determinante de riscos individuais.

Convergent validity between SF-36 and WHOQOL-BREF in older adults

OBJECTIVE : To compare the reliability and convergent validity of instruments assessing quality of life in Brazilian older adults. METHODS : Cross-sectional study of 278 literate, community-dwelling older adults attending a municipal university for the elderly in Sao Carlos, SP, Southeastern Brazil between 2006 and 2008. The Brazilian versions of the SF-36 and WHOQOL-BREF instruments to assess quality of life were compared. Cronbach’s alpha coefficient was used to estimate reliability and Pearson’s correlation for comparison between the two scales. RESULTS : Most of participants were women (87.8%) with a mean age of 63.83±7.22 years. Both scales showed an acceptable internal consistency – WHOQOL-BREF Cronbach’s alpha was 0.832 and SF-36 was 0.868. There was a weak (r ≤ 0.6) correlation between the related fields in the two questionnaires. CONCLUSIONS : The SF-36 and WHOQOL-BREF are reliable instruments for clinical and research uses in Brazilian older women. To select one, researchers should consider which aspects of quality of life they aim to capture because of weak convergent validity signs. This study’s results indicate that WHOQOL-BREF may be more relevant to evaluate changes in the quality of life of older women because it prioritizes responses to the aging process and avoids focusing on impairment.

Genotoxic assessment in different exposure groups working with antineoplastic agents

Antioneoplastic drugs are widely used in treatment of cancer, and several studies suggest acute and long-term effects associated to antineoplastic drug exposures, namely associating workplace exposure with health effects. Cytokinesis blocked micronucleus (CBMN) assay is one promising short-term genotoxicity assays for human risk assessment and their combination is recommended to monitor populations chronically exposed to genotoxic agents. The aim of this investigation is the genotoxicity assessment in different professionals that handle cytostatics drugs. This research is case-control blinded study constituted by 46 non-exposed subjects and 44 workers that handle antineoplastic drugs, such as pharmacists, pharmacy technicians, and nurses. It was found statistically significant increases in the genotoxicity biomarkers in exposed comparising with controls (p<0.05). The findings address the need for regular biomonitoring of personnel occupationally exposed to these drugs, confirming to an enhanced health risk assessment.

Gestão em farmácia - Implementação de um sistema de distribuição de medicamentos Pyxis®: um estudo de caso de dois hospitais centrais

Mestrado em Intervenção Sócio-Organizacional na Saúde - Área de especialização: Políticas de Administração e Gestão em Saúde

Inquérito com paracoccidioidina em uma população da Bahia (Brasil)

No Município de Una, localizado ao Sul do Estado da Bahia, em área com registro freqüente de casos de leishmaniose tegumentar, foram estudados 177 indivíduos, na faixa etária entre três meses e 73 anos, através de provas intradérmicas com paracoccidioidina (antígeno péptido-polissacarídico do Paracoccidioides brasiliensis). Positividade foi obtida em dez indivíduos (5,6%). Somente foi considerada positiva a reação que apresentava enduração igual ou maior que 5 mm. Em nenhum dos casos positivos à paracoccidioidina havia evidência clínica de lesões blastomicóticas. Com os soros dos indivíduos positivos à paracoccidioidina, foram realizadas provas de imunodifusão dupla e contraimunoeletroforese, com resultados negativos para anticorpos circulantes anti-P. brasiliensis. Este dado indica que, em nenhum dos reatores à paracoccidioidina, havia processo infeccioso em atividade. O percentual de positividade obtido com a paracoccidioidina, em que pesem eventuais reações cruzadas com histoplasmose, sugere a ocorrência da paracoccidioidomicose na área estudada.

Aula aberta : boas práticas na sala de aula e na escola

Projeto promovido pela Sociedade Portuguesa de Matemática e e pela Fundação Calouste Gulbenkian.

A multiplying-by-two CMOS amplifier for high-speed ADCs based on parametric amplification

15th International Conference on Mixed Design of Integrated Circuits and Systems, pp. 177 – 180, Poznan, Polónia

Enhancing the selection of a model-based clustering with external categorical variables

In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the data well and takes advantage of the potential illustrative ability of the external variables. This approach makes use of the integrated joint likelihood of the data and the partitions at hand, namely the model-based partition and the partitions associated to the external variables. It is noteworthy that each mixture model is fitted by the maximum likelihood methodology to the data, excluding the external variables which are used to select a relevant mixture model only. Numerical experiments illustrate the promising behaviour of the derived criterion.

Participación comunitaria y tecnología en el diagnóstico precoz de la hidatidosis humana

La estrategia básica para el desarrollo de programas de lucha contra la hidatidosis es en la actualidad la de atención primaria de la salud. En el presente trabajo, y en ese marco, se instrumenta un sistema de detección precoz de la hidatidosis basado en el diagnóstico inmunológico mediante la técnica de Elisa, a partir de muestras de sangre capilar tomadas en papel de filtro por maestras y agentes sanitarios de los servicios oficiales de la provincia de Rio Negro. Fueron entrenadas 177 maestras y 45 agentes sanitarios correspondientes a 25 escuelas, 3 albergues y 9 hospitales, todos del medio rural. Se obtuvieron 890 muestras de sangre durante el entrenamiento. Posteriormente el personal entrenado instrumentó el sistema obteniendo 728 muestras al inicio del programa. No hubo diferencias estadísticas en la reactividad de ambas muestras. La prevalencia serológica hallada fue del 1.32%. La actividad desplegada por maestras y agentes sanitarios permitió detectar 21 casos nuevos, lo cual constituyó el 20% de los casos nuevos diagnosticados en el área en el período de trabajo. Se discute la viabilidad y la importancia de la incorporación de efectores no tradicionales en los Programas de Control de la Hidatidosis.

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.

Entamoeba histolytica: fecal antigen capture immunoassay for the diagnosis of enteric amebiasis by a monoclonal antibody

Amebiasis continues to be of epidemiological importance in underdeveloped countries. Clinical diagnosis and epidemiological setting in a region are based on the fecal microscopic identification of cysts or trophozoites. This procedure requires well trained personnel, is laborious, of low sensitivity and frequently yields false-positives results. The present study was designed to develop an immuno-enzymatic fecal 96 kDa antigen capture test (COPROELISA-Eh) more sensitive and specific than microscopic diagnosis of amebiasis. Triplicates of 177 stool samples processed by the formol-ether concentration method, were defined as positive or negative by three experienced microscopic observers. Another aliquot was submitted to the antigen capture test by a monoclonal antibody against a specific membrane antigen of pathogenic strains of Entamoeba histolytica. Optical densities were interpreted as positive when they exceeded the mean value of negative samples plus two standard deviations. COPROELISA-Eh showed a 94.4% sensitivity, 98.3% specificity, 96.2% positive predictive value and 97.6% negative predictive value for the detection of E. histolytica in feces. COPROELISA-Eh is more sensitive and specific than microscopic examination, does not require specially trained personnel and allows the simultaneous processing of a large number of samples.

Dor crónica lombar : incapacidade auto-reportada em trabalhadores das IPSS de Arronches e sua relação com factores psicossociais e intensidade da dor

RESUMO: Vários estudos realizados sugerem que os factores psicossociais (nível de satisfação laboral; nível educacional; a catastrofização da dor e crenças de medoevitamento)têm um importante papel como factores associados ao desenvolvimento de cronicidade da DL (Krismer & van Tulder, 2007; Kwon et al., 2006; Leclerc et al., 2009; Pincus, Santos, Breen, Burton e Underwood., 2008.) Objectivo: Analisar a associação entre as variáveis catastrofização da dor, crenças de medo-evitamento da dor e intensidade da dor com a incapacidade funcional auto-reportada, numa amostra de indivíduos com DCL. Metodologia: A população alvo foi constituída por 160 funcionários da Santa Casa da Misericórdia e Centro de Bem Estar Social de Arronches. Integraram a amostra 133 funcionários que se disponibilizaram a responder aos diferentes instrumentos de avaliação utilizados (“Roland–Morris Disability Questionnaire”(RMQ); “ Questionário de Caracterização e Levantamento de Factores de Risco e Impacto associado à DCL”; “Pain Catastrophing Scale” (PCS) e o “Fear- Avoidance Beliefs Questionnaire” (FABQ). A recolha de dados realizou-se entre Agosto e Novembro de 2010. Resultados: Neste estudo, verificou-se que 39,1 % dos indivíduos referiam DCL não específica. Relativamente à incapacidade funcional autoreportada, obteve-se um score médio 5,87 no RMQ. Obteve-se um valor de rs=0,425,p<0,01, para a associação entre a catastrofização da dor e incapacidade. Relativamente à associação entre crenças de medo-evitamento, sub-escala actividade física e incapacidade, foi obtido o valor de rs= 0,074 e para a associação entre as crenças de medo-evitamento, sub-escala trabalho e incapacidade, verificou-se rs=0,422, p<0,01. No que respeita à associação entre percepção da intensidade dor actual e a incapacidade, obteve-se um valor rs= 0,177 e a associação entre a dor percepcionada em 2009 e incapacidade, aferiu um resultado de rs=0,291, p<0,05. Conclusão: Concluímos que existe uma associação moderada entre catastrofização da dor e a incapacidade funcional auto-reportada, e também entre crenças de medo-evitamento relativamente ao trabalho e a incapacidade funcional auto-reportada. Relativamente à associação entre a dor percepcionada em 2009 e a incapacidade funcional auto-reportada a associação é baixa. Não sendo encontrada associação entre crenças de medo-evitamento relativamente à actividade física e a incapacidade funcional auto-reportada, nem para a associação entre percepção da intensidade da dor actual e a incapacidade. Esta pesquisa contribuiu assim, para dar a conhecer factores relevantes avaliar em indivíduos com DCL, podendo a sua modificação contribuir para a prevenir maiores níveis de incapacidade funcional ou melhorar a efectividade do tratamento utilizado. --------------------ABSTRACT: Several studies suggest that psychosocial factors (level of job satisfaction, education level, and the pain catastrophizing and fear-avoidance beliefs) have an important role as factors associated with development of chronicity LBP (Krisma & van Tulder, 2007 ; Kwon et al., 2006, Leclerc et al. 2009; Pincus, Santos, Breen, Burton and Underwood., 2008.) Objective: To assess the association between the variables of pain catastrophizing, fear-avoidance beliefs, pain, intensity pain and self-reported functional disability in a sample of people with chronic LBP. Methodology: The study consisted of 160 employees of the Santa Casa da Misericórdia and Centro de Bem Estar Social of Arronches. Integrated sample of 133 employees who agreed to respond to different assessment tools used (Roland-Morris Disability Questionnaire (RMQ), "Questionnaire Survey of Characterization and Risk Factors and Impact associated with the DCL," "Pain Catastrophing Scale(PCS) and "Fear-Avoidance Beliefs Questionnaire (FABQ). Data collection took place between August and November 2010. Results: In this study, it was found that 39.1% of subjects reported no specific chronic LBP. For the self-reported functional disability, we obtained a medium score of 5.87 on the RMQ. We obtained a value of rs = 0.425, p <0.01, for the association between catastrophizing in pain and disability. Regarding the association between fear-avoidance beliefs, sub-scale physical activity and disability, was obtained a value of rs = 0.074 and for the association between fear-avoidance beliefs, sub-scale work and disability, there was rs = 0.422, p <0.01. Regarding the association between perceived pain intensity and pain disability present we obtained a value rs = 0.177 association between pain and perceived disability in 2009 and measured an outcome of rs = 0.291, p <0.05.Conclusion: That there is a moderate association between catastrophizing and pain self-reported functional disability, and also between fear-avoidance beliefs in relation to employment and self-reported functional disability. Regarding the association between pain and perceived disability in 2009 self-reported the association is low. Not being an association between earavoidance beliefs for physical activity and self-reported functional disability, or for the association between perception of current pain intensity and disability. This research contributed so, to disclose relevant factors evaluate in individuals with chronic LBP, its modification may help to prevent higher levels of functional disability or improve the effectiveness of treatment used.

O empreendedorismo como opção de (re)inserção profissional

Este artigo procura evidenciar o empreendedorismo enquanto mecanismo de resposta à (re)inserção social, entendido enquanto necessidade ou oportunidade. Para além da apresentação do empreendedorsimo enquanto opção individual, destaca-se o papel que as universidades e institutos politécnicos devem assumir no desenvolvimento do espírito empreendedor no cluster dos recém-licenciados.