Impacto das comunidades de consumidores no valor das marcas

International Congress Marketing Trends Annual Conference in Paris, 17 – 19 January 2013

A disfunção redox espinhal na dor neuropática

As espécies reativas de oxigénio (ROS) estão envolvidas no desenvolvimento de dor neuropática. No entanto, a aplicação clínica de moléculas antioxidantes no tratamento desta patologia tem demonstrado pouca eficácia. A inibição da NADPH oxidase (NOX), uma das principais fontes de ROS, poderá ser uma boa estratégia terapêutica. O nosso grupo verificou que a apocinina (inibidor da NOX) melhora parcialmente os sintomas de dor neuropática e a disfunção redox espinhal no modelo SNI (spared nerve injury). De forma a melhorar este efeito terapêutico, o presente estudo insere-se num projeto maior, que visa identificar as isoformas da NOX envolvidas na fisiopatologia da doença e avaliar o efeito da administração de inibidores específicos para essas isoformas. Assim, propusemo-nos a avaliar a disfunção redox espinhal em fases precoces dador neuropática periférica induzida pelo modelo SNI no Rato, relacionando-a com os comportamentos de dor demonstrados pelos animais. Foram constituídos três grupos experimentais: SNI, sham e naïve, com subgrupos testados e sacrificados aos dias 1, 3, 7 e 14 após a cirurgia. Avaliou-se a sensibilidade mecânica (vonFrey e pinprick) e ao frio (acetona) dos animais, sacrificaram-se e recolheram-se as medulas espinhais para análise imunohistoquímica, com marcadores de dano oxidativo no DNA e de dano nitrosativo. Ao contrário dos animais sham, que demonstraram um comportamento muito próximo dos naïve, os animais SNI desenvolveram alodínia mecânica e ao frio e hiperalgesia mecânica na pata ipsilateral. No entanto, o dano oxidativo no corno dorsal ipsilateral da medula espinhal apresentou-se idêntico nos grupos SNI e sham ao longo dos 14 dias de estudo, não havendo também diferenças entre os cornos ipsi e contralateral à lesão nervosa. É possível que o desenvolvimento de dor neuropática nos animais SNI não se faça acompanhar de disfunção redox espinhal, pelo menos até aos 14 dias pós indução. O facto de a lesão nervosa no modelo SNI se localizar numa porção distal do ciático, ao contrário de outros modelos em que o stresse oxidativo espinhal foi já descrito, poderia explicar essas diferenças. Em todo o caso, considerando que os resultados comportamentais obtidos indicam que as cirurgias SNI e sham causam diferentes níveis de sensibilização nos animais, parece-nos fulcral prolongar os tempos de neuropatia, e executar uma avaliação do estado redox com outros marcadores, de forma a elucidar se, de facto, existem ROS envolvidas nesta sensibilização e, em caso positivo, poder identificar essas espécies, bem como as suas fontes.

O Contributo do sistema SAP R/3 no controlo interno na REFER

Dissertação apresentada ao Instituto Superior de Contabilidade para a obtenção do Grau de Mestre em Auditoria Orientador: Mestre Agostinho Sousa Pinto

Os Seguros: uma comparação entre Moçambique e Portugal

Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre António de Almeida Pinto Marques

Plano de negócios para empresa de turismo de luxo

Dissertação de Mestrado em Finanças Empresariais

Custo histórico versus justo valor

Oriêntador: Mestre Carlos Pedro

Análise do investimento direto estrangeiro em Portugal utilizando a metodologia de box-jenkins

Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientadora: Professora Doutora Patrícia Ramos

Sistema de garantia mútua: estudo de caso da “SPGM - Sociedade de Investimento, S.A.”

Dissertação de Mestrado em Contabilidade e Finanças Orientador: Mestre António Pinto Marques

Responsabilidade ambiental: análise das divulgações ambientais das empresas do PSI-20 comparativamente com empresas não cotadas

Orientador: Mestre, António Pinto Marques

A novel framework for modeling value for the customer, an essay on negotiation

This paper proposes a novel framework for modelling the Value for the Customer, the so-called the Conceptual Model for Decomposing Value for the Customer (CMDVC). This conceptual model is first validated through an exploratory case study where the authors validate both the proposed constructs of the model and their relations. In a second step the authors propose a mathematical formulation for the CMDVC as well as a computational method. This has enabled the final quantitative discussion of how the CMDVC can be applied and used in the enterprise environment, and the final validation by the people in the enterprise. Along this research, we were able to confirm that the results of this novel quantitative approach to model the Value for the Customer is consistent with the company's empirical experience. The paper further discusses the merits and limitations of this approach, proposing that the model is likely to bring value to support not only the contract preparation at an Ex-Ante Negotiation Phase, as demonstrated, but also along the actual negotiation process, as finally confirmed by an enterprise testimonial.

Conceptual model for decomposing the value for the customer

Value has been defined in different theoretical contexts as need, desire, interest, standard /criteria, beliefs, attitudes, and preferences. The creation of value is key to any business, and any business activity is about exchanging some tangible and/or intangible good or service and having its value accepted and rewarded by customers or clients, either inside the enterprise or collaborative network or outside. “Perhaps surprising then is that firms often do not know how to define value, or how to measure it” (Anderson and Narus, 1998 cited by [1]). Woodruff echoed that we need “richer customer value theory” for providing an “important tool for locking onto the critical things that managers need to know”. In addition, he emphasized, “we need customer value theory that delves deeply into customer’s world of product use in their situations” [2]. In this sense, we proposed and validated a novel “Conceptual Model for Decomposing the Value for the Customer”. To this end, we were aware that time has a direct impact on customer perceived value, and the suppliers’ and customers’ perceptions change from the pre-purchase to the post-purchase phases, causing some uncertainty and doubts.We wanted to break down value into all its components, as well as every built and used assets (both endogenous and/or exogenous perspectives). This component analysis was then transposed into a mathematical formulation using the Fuzzy Analytic Hierarchy Process (AHP), so that the uncertainty and vagueness of value perceptions could be embedded in this model that relates used and built assets in the tangible and intangible deliverable exchange among the involved parties, with their actual value perceptions.

Peer Instruction method in introductory math courses

Learning is not a spectator’s sport. Students do not learn much by just sitting in class listening their teachers, memorizing pre-packaged assignments and spitting out answers. The teaching-learning process has been a constant target of studies, particularly in Higher Education, in consequence of the annual increase of new students. The concern with maintaining a desired quality level in the training of these students, conjugated with the will to widen the access to all of those who finish Secondary School Education, has triggered a greater intervention from the education specialists, in partnership with the teachers of all Higher Education areas, in the analysis of this problem. Considering the particular case of Engineering, it has been witnessed a rising concern with the active learning strategies and forms of assessment. Research has demonstrated that students learn more if they are actively engaged with the material they are studying. In this presentation we describe, present and discuss the techniques and the results of Peer Instruction method in an introductory Calculus courses of an Engineering Bach

Intelligent decision making in electricity markets: simulated annealing Q-Learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

MASGriP – a Multi-Agent Smart Grid Simulation Platform

The increasing number of players that operate in power systems leads to a more complex management. In this paper a new multi-agent platform is proposed, which simulates the real operation of power system players. MASGriP – A Multi-Agent Smart Grid Simulation Platform is presented. Several consumer and producer agents are implemented and simulated, considering real characteristics and different goals and actuation strategies. Aggregator entities, such as Virtual Power Players and Curtailment Service Providers are also included. The integration of MASGriP agents in MASCEM (Multi-Agent System for Competitive Electricity Markets) simulator allows the simulation of technical and economical activities of several players. An energy resources management architecture used in microgrids is also explained.

Balancing market integration in MASCEM electricity market simulator

With the restructuring of the energy sector in industrialized countries there is an increased complexity in market players’ interactions along with emerging problems and new issues to be addressed. Decision support tools that facilitate the study and understanding of these markets are extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent simulator for competitive electricity markets. It is essential to reinforce MASCEM with the ability to recreate electricity markets reality in the fullest possible extent, making it able to simulate as many types of markets models and players as possible. This paper presents the development of the Balancing Market in MASCEM. A key module to the study of competitive electricity markets, as it has well defined and distinct characteristics previously implemented.