Antibiotic resistance in enterobacteriaceae isolated from Portuguese deli meats

This study aimed to identify the presence of β-lactam-resistant bacteria in different types of Portuguese deli meats. The numbers of ampicillin resistant bacteria varied from negative in 25 g to 1.0 × 108colony-forming units/g. Within 78 randomly selected β-lactam-resistant bacteria, 24 different resistant phenotypes were found and 35.9% were multidrug resistant (MDR). The majority (87.2%) of the isolates identified belonged to the Enterobacteriaceae family. The presence of the blaTEM gene was detected in 23 out of 67 isolates (34.3%) and 16 of them presented MDR phenotypes. Four Klebsiella oxytoca isolates (6%) harbored a gene for the CTX-M/OXY-type enzyme. The direct sequencing of their purified amplicons confirmed the presence of three types of blaOXYgenes (blaOXY-1, blaOXY-2 and blaOXY-5). These results suggest that without good hygienic practices, deli meats may act as a vehicle of transfer of β-lactam-resistant bacteria to the gastrointestinal tract of consumers.

An heuristic approach for optimal location of gas supply units in transportation system

The best places to locate the Gas Supply Units (GSUs) on a natural gas systems and their optimal allocation to loads are the key factors to organize an efficient upstream gas infrastructure. The number of GSUs and their optimal location in a gas network is a decision problem that can be formulated as a linear programming problem. Our emphasis is on the formulation and use of a suitable location model, reflecting real-world operations and constraints of a natural gas system. This paper presents a heuristic model, based on lagrangean approach, developed for finding the optimal GSUs location on a natural gas network, minimizing expenses and maximizing throughput and security of supply.The location model is applied to the Iberian high pressure natural gas network, a system modelised with 65 demand nodes. These nodes are linked by physical and virtual pipelines – road trucks with gas in liquefied form. The location model result shows the best places to locate, with the optimal demand allocation and the most economical gas transport mode: by pipeline or by road truck.

Optimal location of gas supply units in natural gas system network

Natural gas industry has been confronted with big challenges: great growth in demand, investments on new GSUs – gas supply units, and efficient technical system management. The right number of GSUs, their best location on networks and the optimal allocation to loads is a decision problem that can be formulated as a combinatorial programming problem, with the objective of minimizing system expenses. Our emphasis is on the formulation, interpretation and development of a solution algorithm that will analyze the trade-off between infrastructure investment expenditure and operating system costs. The location model was applied to a 12 node natural gas network, and its effectiveness was tested in five different operating scenarios.

Ant colony search algorithm for the optimal power flow problem

To maintain a power system within operation limits, a level ahead planning it is necessary to apply competitive techniques to solve the optimal power flow (OPF). OPF is a non-linear and a large combinatorial problem. The Ant Colony Search (ACS) optimization algorithm is inspired by the organized natural movement of real ants and has been successfully applied to different large combinatorial optimization problems. This paper presents an implementation of Ant Colony optimization to solve the OPF in an economic dispatch context. The proposed methodology has been developed to be used for maintenance and repairing planning with 48 to 24 hours antecipation. The main advantage of this method is its low execution time that allows the use of OPF when a large set of scenarios has to be analyzed. The paper includes a case study using the IEEE 30 bus network. The results are compared with other well-known methodologies presented in the literature.

Ant colony system based approach to single machine scheduling problems: weighted tardiness scheduling problem

The paper introduces an approach to solve the problem of generating a sequence of jobs that minimizes the total weighted tardiness for a set of jobs to be processed in a single machine. An Ant Colony System based algorithm is validated with benchmark problems available in the OR library. The obtained results were compared with the best available results and were found to be nearer to the optimal. The obtained computational results allowed concluding on their efficiency and effectiveness.

Swarm intelligence for scheduling: a review

Swarm Intelligence generally refers to a problem-solving ability that emerges from the interaction of simple information-processing units. The concept of Swarm suggests multiplicity, distribution, stochasticity, randomness, and messiness. The concept of Intelligence suggests that problem-solving approach is successful considering learning, creativity, cognition capabilities. This paper introduces some of the theoretical foundations, the biological motivation and fundamental aspects of swarm intelligence based optimization techniques such Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Artificial Bees Colony (ABC) algorithms for scheduling optimization.

Multi-criteria design optimization study of solvent extraction in mixer–settler units

Solvent extraction is considered as a multi-criteria optimization problem, since several chemical species with similar extraction kinetic properties are frequently present in the aqueous phase and the selective extraction is not practicable. This optimization, applied to mixer–settler units, considers the best parameters and operating conditions, as well as the best structure or process flow-sheet. Global process optimization is performed for a specific flow-sheet and a comparison of Pareto curves for different flow-sheets is made. The positive weight sum approach linked to the sequential quadratic programming method is used to obtain the Pareto set. In all investigated structures, recovery increases with hold-up, residence time and agitation speed, while the purity has an opposite behaviour. For the same treatment capacity, counter-current arrangements are shown to promote recovery without significant impairment in purity. Recycling the aqueous phase is shown to be irrelevant, but organic recycling with as many stages as economically feasible clearly improves the design criteria and reduces the most efficient organic flow-rate.

Optimization of a microplate-based assay to assess esterase activity in the alga Pseudokirchneriella subcapitata

The present work describes the optimization of a short-term assay, based on the inhibition of the esterase activity of the alga Pseudokirchneriella subcapitata, in a microplate format. The optimization of the staining procedure showed that the incubation of the algal cells with 20 μmolL−1 fluorescein diacetate (FDA) for 40 min allowed discrimination between metabolic active and inactive cells. The shortterm assay was tested using Cu as toxicant. For this purpose, algal cells, in the exponential or stationary phase of growth, were exposed to the heavy metal in growing conditions. After 3 or 6 h, cells were subsequently stained with FDA, using the optimized procedure. For Cu, the 3- and 6-h EC50 values, based on the inhibition of the esterase activity of algal cells in the exponential phase of growth, were 209 and 130 μg L−1, respectively. P. subcapitata cells, in the stationary phase of growth, displayed higher effective concentration values than those observed in the exponential phase. The 3- and 6-h EC50 values for Cu, for cells in the stationary phase, were 443 and 268 μgL−1, respectively. This short-term microplate assay showed to be a rapid endpoint for testing toxicity using the alga P. subcapitata. The small volume required, the simplicity of the assay (no washing steps), and the automatic reading of the fluorescence make the assay particularly well suited for the evaluation of the toxicity of a high number of environmental samples.

How to integrate stories and ICT in content-based units of work for English learning

The aim of this article is to show how it is possible to integrate stories and ICT in Content Language Integrated Learning (CLIL) for English as a foreign language (EFL) learning in bilingual schools. Two Units of Work are presented. One, for the second year of Primary, is based on a Science topic, ‘Materials’. The story used is ‘The three little pigs’ and the computer program ‘JClic’. The other one is based on a Science and Arts topic for the sixth year of Primary, the story used is ‘Charlotte’s Web’ and the computer program ‘Atenex’.

A Hybrid Simulated Annealing approach to handle Energy Resource Management considering an intensive use of Electric Vehicles

The massification of electric vehicles (EVs) can have a significant impact on the power system, requiring a new approach for the energy resource management. The energy resource management has the objective to obtain the optimal scheduling of the available resources considering distributed generators, storage units, demand response and EVs. The large number of resources causes more complexity in the energy resource management, taking several hours to reach the optimal solution which requires a quick solution for the next day. Therefore, it is necessary to use adequate optimization techniques to determine the best solution in a reasonable amount of time. This paper presents a hybrid artificial intelligence technique to solve a complex energy resource management problem with a large number of resources, including EVs, connected to the electric network. The hybrid approach combines simulated annealing (SA) and ant colony optimization (ACO) techniques. The case study concerns different EVs penetration levels. Comparisons with a previous SA approach and a deterministic technique are also presented. For 2000 EVs scenario, the proposed hybrid approach found a solution better than the previous SA version, resulting in a cost reduction of 1.94%. For this scenario, the proposed approach is approximately 94 times faster than the deterministic approach.

Remuneration Structure Definition for Distributed Generation Units and Demand Response Participants Aggregation

The implementation of competitive electricity markets has changed the consumers’ and distributed generation position power systems operation. The use of distributed generation and the participation in demand response programs, namely in smart grids, bring several advantages for consumers, aggregators, and system operators. The present paper proposes a remuneration structure for aggregated distributed generation and demand response resources. A virtual power player aggregates all the resources. The resources are aggregated in a certain number of clusters, each one corresponding to a distinct tariff group, according to the economic impact of the resulting remuneration tariff. The determined tariffs are intended to be used for several months. The aggregator can define the periodicity of the tariffs definition. The case study in this paper includes 218 consumers, and 66 distributed generation units.

Is There Sufficient Training of Health Care Staff on Noise Reduction in Neonatal Intensive Care Units? a Pilot Study From NeoNoise Project

Evidence indicates that exposure to high levels of noise adversely affects human health, and these effects are dependent upon various factors. In hospitals, there are many sources of noise, and high levels exert an impact on patients and staff, increasing both recovery time and stress, respectively. The goal of this pilot study was to develop, implement and evaluate the effectiveness of a training program (TP) on noise reduction in a Neonatal Intensive Care Units (NICU) by comparing the noise levels before and after the implementation of the program. A total of 79 health professionals participated in the study. The measurements of sound pressure levels took into account the layout of the unit and location of the main sources of noise. General results indicated that LAeq levels before implementation of the training program were often excessive, ranging from 48.7 ± 2.94 dBA to 71.7 ± 4.74 dBA, exceeding international guidelines. Similarly following implementation of the training program noise levels remained unchanged (54.5 ± 0.49 dBA to 63.9 ± 4.37 dBA), despite a decrease in some locations. There was no significant difference before and after the implementation of TP. However a significant difference was found for Lp, Cpeak, before and after training staff, suggesting greater care by healthcare professionals performing their tasks. Even recognizing that a TP is quite important to change behaviors, this needs to be considered in a broader context to effectively control noise in the NICU.

Impacto das medidas de conservação de energia em projeto na redução da intensidade de utilização de matérias-primas na construção de um edifício

O presente trabalho pretende mostrar que a aplicação de medidas de conservação de energia (MCE) pode representar uma redução da intensidade de utilização de matérias-primas na construção de um edifício. Mais concretamente, pode representar uma redução da utilização de materiais e equipamentos, e como consequência, uma redução no esforço económico ao primeiro investimento. Podendo posteriormente representar uma redução na utilização de energia durante o período de funcionamento do edifício. A aplicação de MCE no sector da construção tem vindo a ser uma prática corrente nos novos edifícios e edifícios sujeitos a grandes intervenções de reabilitação. Esta prática deve-se à obrigatoriedade de cumprimento de requisitos regulamentares aplicados à otimização do desempenho energético dos edifícios e dos seus sistemas técnicos, nomeadamente, o RCCTE e o RSECE, entretanto revogados pelo REH e pelo RECS, respetivamente. A implementação de MCE apresenta, na maioria dos casos, benefícios económicos para o promotor do edifício, uma vez que se traduz muitas vezes, na otimização do dimensionamento dos sistemas de Aquecimento, Ventilação e Ar Condicionado (AVAC). Esta otimização permite reduzir os custos associados ao primeiro investimento, bem como na utilização de energia por parte do utilizador, logo na redução dos custos de exploração. No entanto, a falta de quantificação dos impactos do dimensionamento dos sistemas AVAC, da redução de utilização de energia e da análise do custo-benefício da sua aplicação pode condicionar o interesse na sua implementação. Neste contexto, surge a presente dissertação, por iniciativa do Instituto Soldadura e Qualidade (ISQ), aplicado a um caso prático de um edifício já construído e propriedade daquela empresa. Com este trabalho pretende-se avaliar o contributo efetivo das MCE implementadas na fase de projeto e na fase de construção, quer na otimização da dimensão de sistemas e equipamentos AVAC, por via da redução das necessidades energéticas, quer na redução de utilização de energia, permitindo, de seguida, uma avaliação custo-benefício.Na base do caso de estudo está o ECOTERMOLAB, o edifício acima referido, adquirido pelo ISQ para instalação de um laboratório de formação, investigação e desenvolvimento na área da energia. Após aquisição pelo ISQ, o edifício sofreu várias alterações/beneficiações, entre as quais a implementação de MCE, tais como, a aplicação de isolamento térmico na envolvente opaca (paredes, pavimentos e coberturas), duplicação dos vãos envidraçados simples, conferindo-lhes melhores caraterísticas térmicas, e pela aplicação de proteções solar. Foram ainda adotadas MCE aos sistemas AVAC, designadamente, pela adoção de recuperadores de calor nas Unidades de Tratamento de Ar Novo (UTAN’s) e de variadores de velocidade nas bombas de circulação de água e nos ventiladores de ar das UTAN’s. Pretendia o ISQ concluir se a aplicação de todas as MCE contribuiu de forma efetiva para o dimensionamento de sistemas e equipamentos AVAC de menor capacidade e, consequentemente, numa redução de utilização de energia. Em sequência, pretendia avaliar a viabilidade económica da aplicação de todas as MCE, estimando o sobrecusto inicial e o tempo necessário para o retorno financeiro daquele investimento. Para alcançar os objetivos propostos, procedeu-se à simulação energética dinâmica do ECOTERMOLAB, utilizando o programa EnergyPlus. Primeiro foi simulada uma situação base do edifício, sem quaisquer MCE. Posteriormente foi caraterizada cada uma das situações de aplicação das MCE, com o objetivo de avaliar o respetivo impacto individual na utilização de energia pelos sistemas AVAC. Por último foram assumidas todas as soluções em conjunto para avaliar o impacto final de todas as MCE na utilização de energia dos sistemas AVAC, bem como no seu dimensionamento. Das simulações dinâmicas foram obtidos os valores das necessidades de aquecimento e arrefecimento, de energia utilizada pelos sistemas AVAC e de caudais de água aquecida e arrefecida circulada. Com estes valores foi feita uma estimativa de dimensionamento dos equipamentos e componentes AVAC para as situações da aplicação de todas as MCE no ECOTERMOLAB e a sua ausência. A partir da diferença dos custos de aquisição dos respetivos equipamentos e dos valores de poupança em energia foi realizado o estudo da viabilidade económica da implementação das MCE neste edifício. Este estudo permitiu concluir que a aplicação das MCE no ECOTERMOLAB levou à redução da dimensão na generalidade dos equipamentos e componentes AVAC. Permitiu, ainda, concluir que houve uma diminuição de utilização de energia por parte destes sistemas e equipamentos para o aquecimento e arrefecimento. Conclui-se ainda que o período de retorno (Payback) do sobrecusto inicial, estimado em 37.822€ é de, aproximadamente, onze anos e meio, para um valor atual líquido (VAL) de 8.061€ e à taxa interna de rentabilidade (TIR) de 7,03%.