4 resultados para Complex sample analysis

em Repositório Científico da Universidade de Évora - Portugal


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Introduction: Knowing the experience of abuse, contextual determinants that led to the rupture of the situation and attempts to build a more harmonious future, it is essential to work sensitivities and better understand victims of domestic violence. Objectives: To understand the suffering of women victims of violence. Methods: This is an intentional sample of 21 women who were at shelter home or in the community. The data were collected by in- Documento descargado de http://www.elsevier.es el 13-10-2016 3rd World Congress of Health Research 21 terviews, guided by a script organized into four themes. The interviews were conducted with audio record, the permission of the participants were fully passed the text and analyzed as two different corpuses, depending on the context in which they occurred. The analysis was conducted using the ALCESTE computer program. The study obtained a favorable opinion of the Committee on Health and Welfare of the University of Évora. Results: From the irst sample analysis emerged ive classes. The association of the words gave the meaning of each class that we have appointed as Class 1 - Precipitating Events; Class 2 - Experience of abuse; Class 3 - Two feet in the present and looking into the future; Class 4 - The present and learning from the experience of abuse; and Class 5 - Violence in general. From the analysis of the sample in the community four classes emerged that we have appointed as Class 1 - Violence in general; Class 2 - Precipitating Events; Class 3 - abuse of experience; and class 4 - Support in the process. Conclusions: Women who are at shelter home have this experience of violence and its entire context a lot are very focused on their experiences and the future is distant and unclear. Women in the community have a more comprehensive view of the phenomenon of violence as a whole, they can decentralize to their personal experiences and recognize the importance of support in the future construction process.

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Aiming to introduce a multiresidue analysis for the trace detection of pesticide residues belonging to organophosphorus and triazine classes from olive oil samples, a new sample preparation methodology comprising the use of a dual layer of “tailor-made” molecularly imprinted polymers (MIPs) SPE for the simultaneous extraction of both pesticides in a single procedure has been attempted. This work has focused on the implementation of a dual MIP-layer SPE procedure (DL-MISPE) encompassing the use of two MIP layers as specific sorbents. In order to achieve higher recovery rates, the amount of MIP layers has been optimized as well as the influence of MIP packaging order. The optimized DL-MISPE approach has been used in the preconcentration of spiked organic olive oil samples with concentrations of dimethoate and terbuthylazine similar to the maximum residue limits and further quantification by HPLC. High recovery rates for dimethoate (95%) and terbuthylazine (94%) have been achieved with good accuracy and precision. Overall, this work constitutes the first attempt on the development of a dual pesticide residue methodology for the trace analysis of pesticide residues based on molecular imprinting technology. Thus, DL-MISPE constitutes a reliable, robust, and sensitive sample preparation methodology that enables preconcentration of the target pesticides in complex olive oil samples, even at levels similar to the maximum residue limits enforced by the legislation.

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This paper compares the performance of the complex nonlinear least squares algorithm implemented in the LEVM/LEVMW software with the performance of a genetic algorithm in the characterization of an electrical impedance of known topology. The effect of the number of measured frequency points and of measurement uncertainty on the estimation of circuit parameters is presented. The analysis is performed on the equivalent circuit impedance of a humidity sensor.

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The strategic orientations of a firm are considered crucial for enhancing firm performance and their impact can be even greater when associated with dynamic capabilities, particularly in complex and dynamic environments. This study empirically analyzes the relationship between market, entrepreneurial and learning orientations, dynamic capabilities, and performance using an integrative approach hitherto little explored. Using a sample of 209 knowledge intensive business service firms, this paper applies structural equation modeling to explore both direct effects of strategic orientations and the mediating role of dynamic capabilities on performance. The study demonstrates that learning orientation and one of the dimensions of entrepreneurial orientation have a direct positive effect on performance. On the other hand, dynamic capabilities mediate the relationships between some of the strategic orientations and firm performance. Overall, when dynamic capabilities are combined with the appropriate strategic orientations, they enhance firm performance. This paper contributes to a better understanding of the knowledge economy, given the important role knowledge intensive business services play in such a dynamic and pivotal sector.