87 resultados para strategy method
Resumo:
Performance evaluation increasingly assumes a more important role in any organizational environment. In the transport area, the drivers are the company’s image and for this reason it is important to develop and increase their performance and commitment to the company goals. This evaluation can be used to motivate driver to improve their performance and to discover training needs. This work aims to create a performance appraisal evaluation model of the drivers based on the multi-criteria decision aid methodology. The MMASSI (Multicriteria Methodology to Support Selection of Information Systems) methodology was adapted by using a template supporting the evaluation according to the freight transportation company in study. The evaluation process involved all drivers (collaborators being evaluated), their supervisors and the company management. The final output is a ranking of the drivers, based on their performance, for each one of the scenarios used.
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The choice of an information systems is a critical factor of success in an organization's performance, since, by involving multiple decision-makers, with often conflicting objectives, several alternatives with aggressive marketing, makes it particularly complex by the scope of a consensus. The main objective of this work is to make the analysis and selection of a information system to support the school management, pedagogical and administrative components, using a multicriteria decision aid system – MMASSITI – Multicriteria Method- ology to Support the Selection of Information Systems/Information Technologies – integrates a multicriteria model that seeks to provide a systematic approach in the process of choice of Information Systems, able to produce sustained recommendations concerning the decision scope. Its application to a case study has identi- fied the relevant factors in the selection process of school educational and management information system and get a solution that allows the decision maker’ to compare the quality of the various alternatives.
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Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças, sob orientação de Drª Mónica D’Orey
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In this study, we sought to assess the applicability of GC–MS/MS for the identification and quantification of 36 pesticides in strawberry from integrated pest management (IPM) and organic farming (OF). Citrate versions of QuEChERS (quick, easy, cheap, effective, rugged and safe) using dispersive solid-phase extraction (d-SPE) and disposable pipette extraction (DPX) for cleanup were compared for pesticide extraction. For cleanup, a combination of MgSO4, primary secondary amine and C18 was used for both the versions. Significant differences were observed in recovery results between the two sample preparation versions (DPX and d-SPE). Overall, 86% of the pesticides achieved recoveries (three spiking levels 10, 50 and 200 µg/kg) in the range of 70–120%, with <13% RSD. The matrix effects were also evaluated in both the versions and in strawberries from different crop types. Although not evidencing significant differences between the two methodologies were observed, however, the DPX cleanup proved to be a faster technique and easy to execute. The results indicate that QuEChERS with d-SPE and DPX and GC–MS/MS analysis achieved reliable quantification and identification of 36 pesticide residues in strawberries from OF and IPM.
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According to the hedonic price method, a price of a good is related with the characteristics or the services it provides. Within this framework, the aim of this study it is to examine the effect on room rates of different characteristics of hotels in and around the city of Porto, such as star category, size, room and service quality, hotel facilities and location. It was estimated a hedonic price function, using data for 51 hotels. The results enable to identify the attributes that are important to consumers and hoteliers and to which extent. This information can be used by hotel managers to define a price strategy and helpful in new investment decisions.
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The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.
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No dia-a-dia, os organismos vivos estão sujeitos a vários tipos de agressões de origem endógena e exógena. A produção endógena exagerada de agentes oxidantes que ocorre nos processos metabólicos dos seres vivos está intimamente associada ao aparecimento e desenvolvimento de várias patologias. Por outro lado, e devido às atividades antropogénicas, muitos agentes oxidantes de origem ambiental e alimentar entram por via exógena no organismo dos seres vivos provocando igualmente danos a nível celular. De modo a protegerem-se dos efeitos pejorativos provocados por estes compostos, os organismos vivos desenvolveram mecanismos complexos de defesa antioxidante. Este trabalho consistiu no estudo eletroquímico do dano oxidativo induzido por agentes oxidantes (PAH (hidrocarbonetos aromáticos policíclicos), H2O2, NO• e HClO) e do efeito protetor, ao dano oxidativo, promovido por antioxidantes no material baseado no ADN recorrendo à utilização de um biossensor de bases púricas, adenina-EPC (elétrodo pasta de carbono) e dA20-EPC, utilizando a voltametria de onda quadrada (VOQ) como técnica de deteção. A aplicação da eletroquímica apresenta várias vantagens para a quantificação da capacidade antioxidante total (CAT) pois, permite a redução da quantidade de reagentes e amostra em análise, elimina a etapa de remoção de cor (a cor é um interferente nos métodos óticos) e não requer equipamentos dispendiosos. Foram seguidas diferentes abordagens para a construção dos biossensores. A primeira consistiu na construção de um adenina-EPC em três etapas: i) condicionamento do EPC, ii) eletrodeposição da adenina no EPC e iii) leitura do sinal eletroquímico. Assim, foram otimizados diversos parâmetros: concentração de adenina (150,0 mg/L), potencial de condicionamento (Ec) (+ 1,80 V), potencial de deposição (Ed) (+ 0,40 V), tempo de condicionamento (tc) (180 s) e tempo de deposição (td) (240 s). Foi aplicado o adenina-EPC no estudo do dano oxidativo provocado por PAH (benzo (g,h,i) perileno) e constatou-se que era necessário transformar o benzo (g,h,i) perileno num radical para se possível observar danos oxidativos induzidos no biossensor. A nova estratégia consistiu na construção de um dA20-EPC, através da adsorção física de uma gota de dA20 na superfície do EPC, com posterior secagem e leitura do sinal eletroquímico. Neste procedimento foi otimizada a concentração de dA20 (100,0 mg/L). O dano oxidativo provocado pelo H2O2, NO• e HClO foi estudado sobre o dA20-EPC e verificou-se que os três agentes oxidantes induziam dano oxidativo no dA20-EPC. Confirmou-se a capacidade do ácido ascórbico (AA) em proteger o dA20-EPC do dano oxidativo induzido por H2O2 e NO•. O biossensor desenvolvido (dA20-EPC) foi aplicado na avaliação da CAT de diferentes amostras reais (café, sumo de laranja e água aromatizada de laranja) usando-se como agentes oxidantes o H2O2 e NO•. Todas as amostras analisadas apresentaram ter capacidade antioxidante. Quando se utilizou o dA20-EPC na presença de H2O2, verificou-se que as amostras de café apresentam valores mais elevados de CAT (1130-1488 mg AAE/L) do que as amostras de bebidas (110 mg AAE/L em água aromatizada e 775 mg AAE/L em sumo). Os valores de CAT obtidos para amostras de sumo e água aromatizada na presença de NO• indicam que a amostra de sumo possui maior teor de CAT (871 mg AAE/L) conforme era esperado, do que a amostra de água aromatizada (172 mg AAE/L). Na presença de HClO, o valor de CAT mais elevado pertence a uma amostra de sumo (513 mg AAE/L) mas, o valor de CAT da amostra de sumo natural é muito mais baixa do que o esperado (17 mg AAE/L). Foram estudados outros antioxidantes para além do AA (ácido cumárico, ácido gálico e ácido cafeico), e constatou-se que cada um deles promove proteção ao dA20-EPC na presença de cada um dos diferentes contaminantes (H2O2, NO• e HClO).
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This work proposes a novel approach for a suitable orientation of antibodies (Ab) on an immunosensing platform, applied here to the determination of 8-hydroxy-2′-deoxyguanosine (8OHdG), a biomarker of oxidative stress that has been associated to chronic diseases, such as cancer. The anti-8OHdG was bound to an amine modified gold support through its Fc region after activation of its carboxylic functions. Non-oriented approaches of Ab binding to the platform were tested in parallel, in order to show that the presented methodology favored Ab/Ag affinity and immunodetection of the antigen. The immunosensor design was evaluated by quartz-crystal microbalance with dissipation, atomic force microscopy, electrochemical impedance spectroscopy (EIS) and square-wave voltammetry. EIS was also a suitable technique to follow the analytical behavior of the device against 8OHdG. The affinity binding between 8OHdG and the antibody immobilized in the gold modified platform increased the charge transfer resistance across the electrochemical set-up. The observed behavior was linear from 0.02 to 7.0 ng/mL of 8OHdG concentrations. The interference from glucose, urea and creatinine was found negligible. An attempt of application to synthetic samples was also successfully conducted. Overall, the presented approach enabled the production of suitably oriented Abs over a gold platform by means of a much simpler process than other oriented-Ab binding approaches described in the literature, as far as we know, and was successful in terms of analytical features and sample application.
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A backside protein-surface imprinting process is presented herein as a novel way to generate specific synthetic antibody materials. The template is covalently bonded to a carboxylated-PVC supporting film previously cast on gold, let to interact with charged monomers and surrounded next by another thick polymer. This polymer is then covalently attached to a transducing element and the backside of this structure (supporting film plus template) is removed as a regular “tape”. The new sensing layer is exposed after the full template removal, showing a high density of re-binding positions, as evidenced by SEM. To ensure that the templates have been efficiently removed, this re-binding layer was cleaned further with a proteolytic enzyme and solution washout. The final material was named MAPS, as in the back-side reading of SPAM, because it acts as a back-side imprinting of this recent approach. It was able to generate, for the first time, a specific response to a complex biomolecule from a synthetic material. Non-imprinted materials (NIMs) were also produced as blank and were used as a control of the imprinting process. All chemical modifications were followed by electrochemical techniques. This was done on a supporting film and transducing element of both MAPS and NIM. Only the MAPS-based device responded to oxLDL and the sensing layer was insensitive to other serum proteins, such as myoglobin and haemoglobin. Linear behaviour between log(C, μg mL−1) versus charged tranfer resistance (RCT, Ω) was observed by electrochemical impedance spectroscopy (EIS). Calibrations made in Fetal Calf Serum (FCS) were linear from 2.5 to 12.5 μg mL−1 (RCT = 946.12 × log C + 1590.7) with an R-squared of 0.9966. Overall, these were promising results towards the design of materials acting close to the natural antibodies and applied to practical use of clinical interest.
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The total antioxidant capacity (TAC) of 28 flavoured water samples was assessed by ferric reducing antioxidant potential (FRAP), oxygen radical absorbance capacity (ORAC), trolox equivalent antioxidant capacity (TEAC) and total reactive antioxidant potential (TRAP) methods. It was observed that flavoured waters had higher antioxidant activity than the corresponding natural ones. The observed differences were attributed to flavours, juice and vitamins. Generally, higher TAC contents were obtained on lemon waters and lower values on guava and raspberry flavoured waters. Lower and higher TACs were obtained by TRAP and ORAC method, respectively. Statistical analysis suggested that vitamins and flavours increased the antioxidant content of the commercial waters.
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Sulfadiazine is an antibiotic of the sulfonamide group and is used as a veterinary drug in fish farming. Monitoring it in the tanks is fundamental to control the applied doses and avoid environmental dissemination. Pursuing this goal, we included a novel potentiometric design in a flow-injection assembly. The electrode body was a stainless steel needle veterinary syringe of 0.8-mm inner diameter. A selective membrane of PVC acted as a sensory surface. Its composition, the length of the electrode, and other flow variables were optimized. The best performance was obtained for sensors of 1.5-cm length and a membrane composition of 33% PVC, 66% onitrophenyloctyl ether, 1% ion exchanger, and a small amount of a cationic additive. It exhibited Nernstian slopes of 61.0 mV decade-1 down to 1.0×10-5 mol L-1, with a limit of detection of 3.1×10-6 mol L-1 in flowing media. All necessary pH/ionic strength adjustments were performed online by merging the sample plug with a buffer carrier of 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, pH 4.9. The sensor exhibited the advantages of a fast response time (less than 15 s), long operational lifetime (60 days), and good selectivity for chloride, nitrite, acetate, tartrate, citrate, and ascorbate. The flow setup was successfully applied to the analysis of aquaculture waters. The analytical results were validated against those obtained with liquid chromatography–tandem mass spectrometry procedures. The sampling rate was about 84 samples per hour and recoveries ranged from 95.9 to 106.9%.
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The local fractional Poisson equations in two independent variables that appear in mathematical physics involving the local fractional derivatives are investigated in this paper. The approximate solutions with the nondifferentiable functions are obtained by using the local fractional variational iteration method.
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A aprendizagem da leitura e da escrita consiste num dos maiores desafios que as crianças têm de enfrentar no início da sua escolarização. Conseguir vencer esse desafio dá-lhes a oportunidade de se tornarem cidadãos livres, autónomos e informados (Silva, 2003). Contudo, o ato de ler pode tornar-se um desafio árduo de atingir, com muitas dificuldades pelo meio, podendo exigir bastante sensibilidade, conhecimento, informação e até arte por parte de quem ensina. Sabemos que a informação não chega a todos os alunos da mesma forma. Uns necessitam de mais tempo para aprender, mais oportunidades, outras estratégias. Este trabalho teve como objetivo principal encontrar um conjunto de estratégias que fossem ao encontro das necessidades educativas de uma aluna com oito anos de idade que revela grandes dificuldades na aquisição desta competência. Numa primeira fase da intervenção foram aplicadas provas diagnósticas para aferir as aquisições que a aluna já tinha feito de modo a delinear uma intervenção eficaz e motivadora que fosse ao encontro das suas necessidades. A intervenção baseou-se na aplicação de um método multissensorial que trabalhasse todos os mecanismos inerentes ao ato de ler. Esperava-se que com esta intervenção a aluna lesse e escrevesse pequenas frases, tendo adquirido a base para o desenvolvimento da leitura. Os resultados obtidos foram positivos, sendo que os fonemas trabalhados foram adquiridos, tendo chegado a aluna ao fim da intervenção a ler frases simples
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The underground scenarios are one of the most challenging environments for accurate and precise 3d mapping where hostile conditions like absence of Global Positioning Systems, extreme lighting variations and geometrically smooth surfaces may be expected. So far, the state-of-the-art methods in underground modelling remain restricted to environments in which pronounced geometric features are abundant. This limitation is a consequence of the scan matching algorithms used to solve the localization and registration problems. This paper contributes to the expansion of the modelling capabilities to structures characterized by uniform geometry and smooth surfaces, as is the case of road and train tunnels. To achieve that, we combine some state of the art techniques from mobile robotics, and propose a method for 6DOF platform positioning in such scenarios, that is latter used for the environment modelling. A visual monocular Simultaneous Localization and Mapping (MonoSLAM) approach based on the Extended Kalman Filter (EKF), complemented by the introduction of inertial measurements in the prediction step, allows our system to localize himself over long distances, using exclusively sensors carried on board a mobile platform. By feeding the Extended Kalman Filter with inertial data we were able to overcome the major problem related with MonoSLAM implementations, known as scale factor ambiguity. Despite extreme lighting variations, reliable visual features were extracted through the SIFT algorithm, and inserted directly in the EKF mechanism according to the Inverse Depth Parametrization. Through the 1-Point RANSAC (Random Sample Consensus) wrong frame-to-frame feature matches were rejected. The developed method was tested based on a dataset acquired inside a road tunnel and the navigation results compared with a ground truth obtained by post-processing a high grade Inertial Navigation System and L1/L2 RTK-GPS measurements acquired outside the tunnel. Results from the localization strategy are presented and analyzed.