Improvement of the yeast slide culture technique

Este trabalho tem como objetivo melhorar a técnica de cultura em lâmina para ser usada na avaliação da viabilidade de leveduras sob diferentes condições fisiológicas. Inicialmente, foram otimizadas as condições ideais para o cultivo em lâmina de uma estirpe laboratorial (BY4741) e de uma estirpe industrial (NCYC 1214) da levedura Saccharomyces cerevisiae. O melhor protocolo foi obtido utilizando: YEPD agar com uma espessura de cerca de 2 mm; 20 μL de uma suspensão de 1 x 105 células/mL para a estirpe BY4741 ou de 5 x 104 células/mL para a estirpe NCYC 1214; uma câmara de humedecimento com 100 μL de água desionizada e um tempo de incubação de 24 h, a 25 ° C. Com o objetivo de facilitar a contagem das microcolónias, foi adicionado um corante (calcofluor white, CFW) ao meio YEPD agar. Ensaios preliminares, em YEPD líquido, contendo diferentes concentrações de CFW, permitiram verificar que o corante, até 5,0 μg/L, não inibe o crescimento da levedura. Uma concentração de 2,5 μg/L de CFW permitiu a coloração da parede das leveduras, não se observando células com morfologia alterada, sendo esta a concentração de CFW selecionado nos estudos subsequentes. A técnica de cultura em lâmina, com ou sem CFW, foi aplicada para avaliar a viabilidade de células saudáveis (células em fase exponencial de crescimento), células submetidas a stress de etanol [células expostas a 20% (v/v) de etanol, a 25 ºC, durante 2 h] e células envelhecidas (células incubadas em água, a 25 ° C, durante 48 h), da estirpe laboratorial. A percentagem de células viáveis não foi significativamente diferente entre as duas técnicas (com ou sem CFW), após uma incubação de 24 horas. Finalmente, a técnica de cultura de lâmina, contendo CFW, foi comparada com duas técnicas habitualmente usadas na indústria cervejeira: fermentação de curta duração e determinação da percentagem de células gemuladas. Os resultados obtidos através da técnica de cultura de lâmina, desenvolvida, seguem um padrão similar aos obtidos nos ensaios de fermentação de curta duração e aos da determinação da percentagem de células gemuladas. Os resultados obtidos sugerem que a técnica de cultura em lâmina, combinada com CFW, parece ser uma alternativa, fácil, rápida (em 24 h) e reprodutível, relativamente ao método convencional (técnica de plaqueamento), para a avaliação da viabilidade de células de levedura. Deverá ser realizado trabalho adicional a fim de validar o método com estirpes industriais.

Folk culture and political power: practices and representations of moliceiro culture in Portugal, cultural sociology

This article analyses the painted panels of the moliceiro boat, a traditional working boat of the Ria de Aveiro region of Portugal. The article examines how the painted panels have been invented and reinvented over time. The boat and its panels are contextualized both within the changing socio-economic conditions of the Ria de Aveiro region, and the changing socio-political conditions of Portugal throughout the 20th century and until the present day. The article historically analyses the social significance of ‘moliceiro culture’, examining in particular the power relations it expresses and its ambiguous past and present relationships with the political and the economic powers of the Portuguese state. The article unpacks some of the complexity of the relations that have pertained between public and private, local and national, folk culture and ‘art’, and popular and institutional in the Ria de Aveiro region in particular, and Portugal more generally.

Technology for creativity and innovation: tools, techniques and applications

It is widely accepted that organizations and individuals must be innovative and continually create new knowledge and ideas to deal with rapid change. Innovation plays an important role in not only the development of new business, process and products, but also in competitiveness and success of any organization. Technology for Creativity and Innovation: Tools, Techniques and Applications provides empirical research findings and best practices on creativity and innovation in business, organizational, and social environments. It is written for educators, academics and professionals who want to improve their understanding of creativity and innovation as well as the role technology has in shaping this discipline.

Culture, politics and identity: critical readings on gender in southeast Asia

Indian Journal of Gender Studies October 2012 vol. 19 no. 3 437-467

Controlo de qualidade microbiológica na indústria farmacêutica

O presente Relatório de Estágio teve como objectivo analisar e discutir as competências adquiridas e desenvolvidas, durante o estágio, no controlo da qualidade microbiológica na indústria farmacêutica O estágio, foi realizado no Laboratório de Microbiologia dos Laboratórios Atral, Grupo AtralCipan, localizado na Vala do Carregado, Castanheira do Ribatejo. Este teve a duração de aproximadamente dez meses e meio, com data de início a 21 de Setembro de 2011 e final de 10 de Agosto de 2012. Numa fase inicial, foram adquiridas as aptidões necessárias para a aplicação das metodologias realizadas no laboratório de microbiologia com o estudo das normas, procedimento e legislação aplicada, com foco na importância das farmacopeias na indústria farmacêutica e formação para a realização de ensaios em Áreas de Processamento Asséptico, conhecendo e compreendendo os procedimentos a ter nestas. Uma das principais metodologias realizadas, e desenvolvida neste relatório, compreendeu a análise de produtos farmacêuticos estéreis, com a aplicação de Testes de Esterilidade, pelo método de STERITEST e método Directo, com resultados que demonstraram a importância destas técnicas, da avaliação do ambiente em que são realizadas e do operador que as executa. Os Testes de Promoção de Crescimento, foram também explorados neste trabalho, realizados não só para avaliação dos meios de cultura, onde foi possível analisar os requisitos e resultados obtidos, como também para validação de metodologias, nomeadamente, na validação de meios e fluidos de marcas diferentes para utilização no método STERITEST e na validação do método de filtração de membrana para Enumeração Microbiana de um produto não estéril. Estas validações possibilitaram a redução de custos e melhoria das condições da análise e metodologias aplicadas. Com a realização do estágio foi possível adquirir aptidões práticas, que aliadas ao conhecimento teórico obtido no mestrado, proporcionaram um crescimento a nível pessoal, científico e profissional.

The influence of relationship quality and culture in the relations between exporter and distributor : the case of portuguese exports to Angola

The objective of this research is to investigate the role of the relationship quality, cooperation and culture between Portuguese companies and their export market intermediaries in Angola. In particular, we aim to understand the importance that the quality of the relationship has in cooperation and the role of cultures in export activities. An important aspect of this study is precisely the fact that it includes an African country, where, in terms of the literature, there is a strong lack of studies. In terms of methodology we opted for qualitative analysis; we present the results of two case studies of Portuguese exporting companies and one case study of Angolan intermediate. In general, the results are that the business relationships are characterized by trust, commitment, cooperation, culture, similar values, as in the past, Angola belonged to Portugal there is easy communication because both countries share the same. Such factors will influence the trade relations between Portuguese exporters and their Angolan distributors.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

Data mining techniques to support the classification of MV electricity customers

This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.

Natural gas system operation: lagrangean optimization techniques

To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry needs to organize an efficient upstream infrastructure. The best location of Gas Supply Units – GSUs and the alternative transportation mode – by phisical or virtual pipelines, are the key of a successful industry. In this work we study the optimal location of GSUs, as well as determining the most efficient allocation from gas loads to sources, selecting the best transportation mode, observing specific technical restrictions and minimizing system total costs. For the location of GSUs on system we use the P-median problem, for assigning gas demands nodes to source facilities we use the classical transportation problem. The developed model is an optimisation-based approach, based on a Lagrangean heuristic, using Lagrangean relaxation for P-median problems – Simple Lagrangean Heuristic. The solution of this heuristic can be improved by adding a local search procedure - the Lagrangean Reallocation Heuristic. These two heuristics, Simple Lagrangean and Lagrangean Reallocation, were tested on a realistic network - the primary Iberian natural gas network, organized with 65 nodes, connected by physical and virtual pipelines. Computational results are presented for both approaches, showing the location gas sources and allocation loads arrangement, system total costs and gas transportation mode.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

Optimization techniques for power distribution planning with uncertainties: a comparative study

Important research effort has been devoted to the topic of optimal planning of distribution systems. The non linear nature of the system, the need to consider a large number of scenarios and the increasing necessity to deal with uncertainties make optimal planning in distribution systems a difficult task. Heuristic techniques approaches have been proposed to deal with these issues, overcoming some of the inherent difficulties of classic methodologies. This paper considers several methodologies used to address planning problems of electrical power distribution networks, namely mixedinteger linear programming (MILP), ant colony algorithms (AC), genetic algorithms (GA), tabu search (TS), branch exchange (BE), simulated annealing (SA) and the Bender´s decomposition deterministic non-linear optimization technique (BD). Adequacy of theses techniques to deal with uncertainties is discussed. The behaviour of each optimization technique is compared from the point of view of the obtained solution and of the methodology performance. The paper presents results of the application of these optimization techniques to a real case of a 10-kV electrical distribution system with 201 nodes that feeds an urban area.

MV producers and consumers agents characterization with DSM techniques

This paper consist in the establishment of a Virtual Producer/Consumer Agent (VPCA) in order to optimize the integrated management of distributed energy resources and to improve and control Demand Side Management DSM) and its aggregated loads. The paper presents the VPCA architecture and the proposed function-based organization to be used in order to coordinate the several generation technologies, the different load types and storage systems. This VPCA organization uses a frame work based on data mining techniques to characterize the costumers. The paper includes results of several experimental tests cases, using real data and taking into account electricity generation resources as well as consumption data.

Combining artificial intelligence techniques for the training of power system control centre operators

Control Centre operators are essential to assure a good performance of Power Systems. Operators’ actions are critical in dealing with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in incident analysis and diagnosis, and service restoration of Power Systems, offering context awareness and an easy integration in the working environment.

Iron oxide/gold core/shell nanomagnetic probes and CdS biolabels for amplified electrochemical immunosensing of Salmonella typhimurium

There is an imminent need for rapid methods to detect and determine pathogenic bacteria in food products as alternatives to the laborious and time-consuming culture procedures. In this work, an electrochemical immunoassay using iron/gold core/shell nanoparticles (Fe@Au) conjugated with anti-Salmonella antibodies was developed. The chemical synthesis and functionalization of magnetic and gold-coated magnetic nanoparticles is reported. Fe@Au nanoparticles were functionalized with different self-assembled monolayers and characterized using ultraviolet-visible spectrometry, transmission electron microscopy, and voltammetric techniques. The determination of Salmonella typhimurium, on screen-printed carbon electrodes, was performed by square-wave anodic stripping voltammetry through the use of CdS nanocrystals. The calibration curve was established between 1×101 and 1×106 cells/mL and the limit of detection was 13 cells/mL. The developed method showed that it is possible to determine the bacteria in milk at low concentrations and is suitable for the rapid (less than 1 h) and sensitive detection of S. typhimurium in real samples. Therefore, the developed methodology could contribute to the improvement of the quality control of food samples.