Aplicação do ABC no sector de transporte público rodoviário de mercadorias: estudo de caso em PME

Mestrado em Contabilidade e Finanças Orientado por: Doutora Cláudia Lopes

Os benefícios e as dificuldades na certificação da qualidade: Norma NP EN ISO 9001:2008

Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Assessoria de Administração

Assessment of guanylin peptides system in type 2 diabetes

Os doentes com diabetes mellitus tipo 2 apresentam predisposição para a retenção de sódio e são frequentemente hipertensos. No entanto, os mecanismos implicados na dificuldade do rim diabético em mobilizar o sódio são, ainda, pouco compreendidos. Os peptídeos da família das guanilinas estão envolvidos na regulação do transporte de electrólitos e água nos epitélios intestinal e renal, através da activação do receptor guanilato ciclase-C (GC-C) e subsequente libertação intracelular de GMPc. O objectivo do presente estudo foi a avaliação da actividade do sistema dos peptídeos das guanilinas (SPG) e do seu papel na regulação do balanço de sódio num modelo animal de diabetes tipo 2. Ratinhos machos C57BL/6 foram submetidos a uma dieta com alto teor de gordura e rica em hidratos de carbono simples (ratinhos diabéticos) ou a uma dieta normal (ratinhos controlo). A expressão renal e intestinal da guanilina (GN), uroguanilina (UGN) e do receptor GC-C assim como os níveis de GMPc na urina e plasma foram avaliados nos ratinhos controlo e diabéticos, durante a ingestão de dietas normo (NS) e hiper-salina (HS). Nos ratinhos diabéticos, durante a dieta NS verificou-se um aumento significativo da pressão arterial que foi acompanhado de redução da expressão do ARNm da GN, UGN e do GC-C no intestino e de aumento da expressão de ARNm da UGN no rim. A dieta HS induziu um aumento da expressão do ARNm da UGN no jejuno dos ratinhos controlo mas não nos diabéticos. Os ratinhos diabéticos apresentaram níveis urinários de GMPc inferiores aos controlos, em condições de dieta NS. Em conclusão, os nossos resultados sugerem que na diabetes tipo 2 ocorre uma redução da actividade intestinal do SPG que é acompanhada por um aumento compensatório da actividade renal do SPG. A diminuição da actividade do SPG intestinal na diabetes tipo 2 deve-se não só a uma redução da expressão dos peptídeos GN e UGN, mas também a uma redução da expressão do seu receptor, GC-C. Estes resultados sugerem que o SPG pode contribuir para a sensibilidade ao sódio na diabetes.

A Service Integration Platform for Collaborative Networks

Integrated manufacturing constitutes a complex system made of heterogeneous information and control subsystems. Those subsystems are not designed to the cooperation. Typically each subsystem automates specific processes, and establishes closed application domains, therefore it is very difficult to integrate it with other subsystems in order to respond to the needed process dynamics. Furthermore, to cope with ever growing marketcompetition and demands, it is necessary for manufacturing/enterprise systems to increase their responsiveness based on up-to-date knowledge and in-time data gathered from the diverse information and control systems. These have created new challenges for manufacturing sector, and even bigger challenges for collaborative manufacturing. The growing complexity of the information and communication technologies when coping with innovative business services based on collaborative contributions from multiple stakeholders, requires novel and multidisciplinary approaches. Service orientation is a strategic approach to deal with such complexity, and various stakeholders' information systems. Services or more precisely the autonomous computational agents implementing the services, provide an architectural pattern able to cope with the needs of integrated and distributed collaborative solutions. This paper proposes a service-oriented framework, aiming to support a virtual organizations breeding environment that is the basis for establishing short or long term goal-oriented virtual organizations. The notion of integrated business services, where customers receive some value developed through the contribution from a network of companies is a key element.

A Implementação de um sistema de gestão da qualidadena Junta de Freguesia de Gandra

Trabalho de Projeto apresentado ao Instituto Superior de Contabilidade e Administração do Porto para obtenção do grau de Mestre em Auditoria Orientado por: Doutora Alcina Augusta de Sena Portugal Dias

Internacionalização do vinho do Porto – estudo de caso Grupo Sogevinus

Dissertação apresentada ao Instituto Superior de Contabilidade para a obtenção do Grau de Mestre em Empreendedorismo e Internacionalização Orientada por Professor Doutor José Freitas Santos

Gestão estratégica: balanced scorecard para uma entidade hospitalar

Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Doutora Cláudia Maria Ferreira Pereira Lopes

Concepção e implementação do time-driven activity based costing numa PME industrial: evidência de um estudo empírico

Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre Paulino Manuel Leite da Silva

Qualidade, higiene e segurança na gestão das empresas

Dissertação apresentada ao Instituto Superior de Contabilidade e Administração para obtenção do Grau de Mestre em Auditoria. Orientada por: Mestre Alcina Dias

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.

Definition of MV Load Diagrams via Weighted Evidence Accumulation Clustering using Subsampling

A definition of medium voltage (MV) load diagrams was made, based on the data base knowledge discovery process. Clustering techniques were used as support for the agents of the electric power retail markets to obtain specific knowledge of their customers’ consumption habits. Each customer class resulting from the clustering operation is represented by its load diagram. The Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) were applied to an electricity consumption data from a utility client’s database in order to form the customer’s classes and to find a set of representative consumption patterns. The WEACS approach is a clustering ensemble combination approach that uses subsampling and that weights differently the partitions in the co-association matrix. As a complementary step to the WEACS approach, all the final data partitions produced by the different variations of the method are combined and the Ward Link algorithm is used to obtain the final data partition. Experiment results showed that WEACS approach led to better accuracy than many other clustering approaches. In this paper the WEACS approach separates better the customer’s population than Two-step clustering algorithm.

Data mining contributions to characterize MV consumers and to improve the suppliers-consumers settlements

This paper deals with the establishment of a characterization methodology of electric power profiles of medium voltage (MV) consumers. The characterization is supported on the data base knowledge discovery process (KDD). Data Mining techniques are used with the purpose of obtaining typical load profiles of MV customers and specific knowledge of their customers’ consumption habits. In order to form the different customers’ classes and to find a set of representative consumption patterns, a hierarchical clustering algorithm and a clustering ensemble combination approach (WEACS) are used. Taking into account the typical consumption profile of the class to which the customers belong, new tariff options were defined and new energy coefficients prices were proposed. Finally, and with the results obtained, the consequences that these will have in the interaction between customer and electric power suppliers are analyzed.

Natural Gas location design and operation

A major determinant of the level of effective natural gas supply is the ease to feed customers, minimizing system total costs. The aim of this work is the study of the right number of Gas Supply Units – GSUs - and their optimal location in a gas network. This paper suggests a GSU location heuristic, based on Lagrangean relaxation techniques. The heuristic is tested on the Iberian natural gas network, a system modelized with 65 demand nodes, linked by physical and virtual pipelines. Lagrangean heuristic results along with the allocation of loads to gas sources are presented, using a 2015 forecast gas demand scenario.

Imunorreatividade em material histológico arquivado durante um, quatro e sete anos

Quando aplicada no âmbito da Anatomia Patológica, a imuno-histoquímica tem constituído um poderoso meio de identificação/caracterização de várias estruturas histológicas, permitindo delinear prognóstico e terapêutica para várias patologias. Tendo em conta que as amostras histológicas analisadas podem ser conservadas ao longo de vários anos, interessa avaliar a manutenção da antigenicidade ao longo do tempo, de forma a garantir a qualidade final da técnica quando aplicada em material de arquivo. Assim, o principal objetivo deste trabalho foi comparar a imunorreatividade do material histológico arquivado durante um, quatro e sete anos. Foi utilizado material histológico de próstata, pulmão e mama, no qual se procedeu à imunomarcação de citoqueratinas (Clones AE1/AE3), CD34 e proteína p63, por método de multímero/HRP no sistema Ventana BenchMark Ultra®. Foi realizado um ensaio com recuperação antigênica por alta temperatura (RAAT) e outro sem esta etapa. As imunomarcações (n=162) foram classificadas por três avaliadores independentes num escore quantitativo final (escala 0-100). O par média/desvio-padrão do escore final para os casos com sete anos foi de 69,06/19,05, para os casos com quatro anos foi de 66,47/20,73 e para os casos com um ano foi de 69,08/19,35, não se tendo encontrado diferenças estatisticamente significativas. Os casos sem RAAT obtiveram um par média/desvio-padrão de 54,90/17,00, enquanto os casos com RAAT obtiveram 81,50/11,60, o que revelou diferenças estatisticamente significativas (p=0,000). Para os casos em estudo conclui-se que o fator “tempo de arquivo” não está associado a alterações da imunorreatividade. A importância da RAAT na obtenção de imunomarcação de qualidade sai fortemente realçada. ABSTRACT - When applied within the framework of Pathology, immunohistochemistry has been a powerful means of identification/characterization of various histological structures, allowing to outline prognosis and therapy for various diseases. Given that the analyzed histological samples can be preserved for several years, it is interesting to assess the retention of antigenicity over time in order to ensure the quality of the final technique, when applied to stored material. Thus, the main objective of this study was to compare the immunoreactivity of the histological material archived for one, four and seven years. It was used histological material from prostate, lung and breast, in which it was performed the immunostaining of cytokeratins (clones AE1/AE3), CD34 and p63 protein by the method of multimer/HRP system on a Ventana BenchMark Ultra®. It was conducted a test with heat induced epitope retrieval (HIER) and another one without this step. The stained slides (n=162) were classified by three independent assessors using a quantitative score (scale 0-100). The pair mean/standard deviation of the score for cases with seven years was 69,06/19,05, for cases with four years was 66,47/20,73 and for cases with one year was 69,08/19,35, which did not revealed any statistically significant differences. The cases without HIER had a couple mean/standard deviation of 54.90/17.00 while the cases with HIER obtained 81.50/11.60, which revealed statistically significant differences (p=0.000). For this case study it was concluded that the factor archive period is not associated with changes in immunoreactivity. The importance of HIER in obtaining high quality immunostaining comes out strongly highlighted.

Typical load profiles in the smart grid context – a clustering methods comparison

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.