Research on using the decision tree method in order to select the best alternative for the pharmacies supply

Introduction / Aims: Adopting the important decisions represents a specific task of the manager. An efficient manager takes these decisions during a sistematic process with well-defined elements, each with a precise order. In the pharmaceutical practice and business, in the supply process of the pharmacies, there are situations when the medicine distributors offer a certain discount, but require payment in a shorter period of time. In these cases, the analysis of the offer can be made with the help of the decision tree method, which permits identifying the decision offering the best possible result in a given situation. The aims of the research have been the analysis of the product offers of many different suppliers and the establishing of the most advantageous ways of pharmacy supplying. Material / Methods: There have been studied the general product offers of the following medical stores: A&G Med, Farmanord, Farmexim, Mediplus, Montero and Relad. In the case of medicine offers including a discount, the decision tree method has been applied in order to select the most advantageous offers. The Decision Tree is a management method used in taking the right decisions and it is generally used when one needs to evaluate the decisions that involve a series of stages. The tree diagram is used in order to look for the most efficient means to attain a specific goal. The decision trees are the most probabilistic methods, useful when adopting risk taking decisions. Results: The results of the analysis on the tree diagrams have indicated the fact that purchasing medicines with discount (1%, 10%, 15%) and payment in a shorter time interval (120 days) is more profitable than purchasing without a discount and payment in a longer time interval (160 days). Discussion / Conclusion: Depending on the results of the tree diagram analysis, the pharmacies would purchase from the selected suppliers. The research has shown that the decision tree method represents a valuable work instrument in choosing the best ways for supplying pharmacies and it is very useful to the specialists from the pharmaceutical field, pharmaceutical management, to medicine suppliers, pharmacy practitioners from the community pharmacies and especially to pharmacy managers, chief – pharmacists.

Procedimento de distribuição de hemoderivados no Centro Hospitalar de São João, EPE

Introdução: A distribuição de Hemoderivados está associada a um circuito especial e que dá cumprimento ao Despacho Conjunto nº 1051/2000 (2ª série) de 14 de Setembro, publicado no Diário da República nº 251 de 30 de Outubro 2000 que regula o registo de medicamentos derivados do plasma. Isto acontece devido à natureza destes medicamentos que, por serem derivados do plasma humano, acarretam risco biológico, sendo sempre acompanhados de certificados de análise emitidos pelo INFARMED e que asseguram a sua segurança. Todas as actividades referentes à requisição, distribuição e administração de Hemoderivados têm de ser registadas num modelo de registo oficial, o que torna mais fácil a rastreabilidade da medicação dispensada e leva a um maior controlo desta. Desde a prescrição médica até à administração da medicação existem diversos passos que têm de ser realizados e que envolvem o preenchimento da requisição oficial, sendo indispensável a realização de todas as tarefas com o maior cuidado de forma a possibilitar uma dispensa de medicação correcta e eficaz, seguindo todos os parâmetros legislados. Material e Métodos: Realizou-se um estudo observacional, do tipo descritivo simples que permitiu verificar o conjunto de procedimentos compreendidos entre a realização da prescrição médica e a recepção da medicação preparada pelos Serviços Farmacêuticos, circuito que envolve diversos profissionais, nomeadamente Médicos, Técnicos de Diagnóstico e Terapêutica (TDT), Assistentes Operacionais (AO), Técnicos Superiores de Saúde (TSS), entre outros. Para a realização do estudo utilizou-se como base o período de estágio realizado nos circuitos especiais de distribuição de medicamentos no Centro Hospitalar de São João, EPE (CHSJ, EPE). Para a demonstração dos resultados realizou-se um fluxograma, utilizando o software Microsoft Office Visio 2010®, em que se pode verificar todos os passos necessários até a medicação ser administrada ao doente. Resultados: Os resultados encontram-se esquematizados na forma de um fluxograma que explica, de forma sucinta, todo o circuito especial de distribuição dos Hemoderivados desde a prescrição feita pelo médico até à recepção da medicação por parte dos serviços clínicos. Discussão / Conclusões: O circuito de distribuição de Hemoderivados adoptado pelo CHSJ, EPE segue todos os passos que permitem a correcta dispensa e administração da medicação. É imperativo que todas as partes envolvidas neste circuito tenham consciência de todos os aspectos que envolvem este tipo de distribuição, nomeadamente os aspectos burocráticos, ou seja, o correcto preenchimento do modelo oficial e que permite registar todas as actividades referentes à requisição, distribuição e administração de Hemoderivados.

Distributed generation producers' reserve management

Sustainable development concerns are being addressed with increasing attention, in general, and in the scope of power industry, in particular. The use of distributed generation (DG), mainly based on renewable sources, has been seen as an interesting approach to this problem. However, the increasing of DG in power systems raises some complex technical and economic issues. This paper presents ViProd, a simulation tool that allows modeling and simulating DG operation and participation in electricity markets. This paper mainly focuses on the operation of Virtual Power Producers (VPP) which are producers’ aggregations, being these producers mainly of DG type. The paper presents several reserve management strategies implemented in the scope of ViProd and the results of a case study, based on real data.

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.

A imagem musical do movimento : categorias de análise

Um acompanhador compreende o gesto dançado quando consegue extrair do bailarino imagens que assinalam aspectos do estado do seu corpo. O processo de visualização dum movimento resulta da criação de imagens, que surgem da transformação de um estímulo visual, numa imagem mental. Na perspectiva do nosso corpo, tudo o que está “fora” e tudo o que está “dentro” tem um correlato numa imagem, que pode ser explicada como um conjunto de padrões mentais que estão consistentemente relacionados com alguma coisa. O armazenamento destas imagens na nossa memória permite-nos criar um fluxo de imagens a cada momento do nosso pensamento.

Mergers and acquisitions as strategies of business expansion in the pharmaceutical industry

Introduction: The present paper deals with the issue of the increasing usage of corporation mergers and acquisitions strategies within pharmaceutical industry environment. The aim is to identify the triggers of such business phenomenon and the immediate impact on the financial outcome of two powerful biopharmaceutical corporations: Pfizer and GlaxoSmithKline, which have been sampled due to their successful approach of the tactics in question. Materials and Methods: In order to create an overview of the development steps through mergers and acquisitions, the historical data of the two corporations has been consulted, from their official websites. The most relevant events were then associated with adequate information from the financial reports and statements of the two corporations indulged by web-based financial data providers. Results and Discussions: In the past few decades Pfizer and GlaxoSmithKline have purchased or merged with various companies in order to monopolize new markets, diversify products and services portfolios, survive and surpass competitors. The consequences proved to be positive although this approach implies certain capital availability. Conclusions: Results reveal the fact that, as far as the two sampled companies are concerned, acquisitions and mergers are reactions at the pressure of the highly competitive environment. Moreover, the continuous diversification of the market’s needs is also a consistent motive. However, the prevalence and the eminence of mergers and acquisition strategies are conditioned by the tender offer, the announcer’s caliber, research and development status and further other factors determined by the internal and external actors of the market.

Efeito do calçado MBT, na variação do centro de pressão, durante o equilíbrio estático

Objectivo: Analisar a variação do centro de pressão (CP) com a utilização do calçado MBT, no equilíbrio estático a curto e longo prazo. Metodologia: A amostra é constituída por dois grupos, experimental e controlo. O estudo consistiu em dois momentos de avaliação, na recolha os indivíduos estão sobre a plataforma, estáticos. Os dados recolhidos foram a área, distância e velocidade das oscilações do CP. Resultados: As variáveis estudadas estão aumentadas com o uso das MBT. A longo prazo não se verificou diferenças significativas entre os grupos. Conclusão: As sapatilhas MBT proporcionam o aumento das oscilações do CP a curto prazo.

Timing del movimento vs timing musical : visualización transmodal de una frase de movimiento

El acompañante musical de danza (AMD) traduce a sonido secuencias de movimiento, basando su práctica en la observación de las acciones motoras del bailarín. ¿Cómo es que el AMD llega a comprender las calidades motoras en términos musicales? ¿Qué es lo que el AMD identifica a partir de su observación? ¿Cuáles son las diferencias y semejanzas de timing de las representaciones motoras en el planeamiento de una acción cuando se trabaja con estímulos auditivos y visuales en simultáneo? Con el objeto de comenzar a responder algunas de esos interrogantes se diseñó un estudio en el que se indagan diferentes aspectos de la habilidad para sincronizar con la imagen y el sonido de una secuencia de danza de las personas habitualmente involucradas en la realización de este tipo de secuencias (Profesores, Estudiantes Bailarines y AMD).

La perspectiva entonada de la ejecución musical con el movimiento : desajustes en la tríada : acompañante-bailarín-profesor de danza

En este estudio se presenta un modelo de trabajo dentro de una clase de danza, basado en la interacción entre el Acompañante Musical de Danza (AMD), el Bailarín (en su condición de estudiante) y el Profesor de danza. El trabajo tiene un carácter introspectivo y se basa en el análisis crítico de la perspectiva del autor, como sujeto implicado en el proceso de la enseñanza del movimiento, desde la posición de acompañante musical en las clases de técnica de danza. El estudio tiene por marco el trabajo realizado en la Escuela Superior de Danza de Lisboa (ESD). Durante este ensayo nos referiremos al AMD, como aquél que construye, ejecuta y ajusta su performance musical, buscando una correspondencia acentual y de frase, con el movimiento que observa. El problema que abordaremos es el desajuste o ruido en la comunicación que sucede durante las diferentes fases del proceso de aprendizaje y ejecución de la frase de movimiento, entre el AMD, el Bailarín y el Profesor. Será analizada la cuestión de porque los 3 sujetos de este modelo no siempre compatibilizan de manera más adecuada, especulándose que se deba a una serie de problemas o causas en el nivel de la información sensorial y la perspectiva de las interacciones entre ellos. Son propuestas algunas estrategias que (i) optimizan el trabajo del AMD; (ii) hacen posible una mejor comunicación con el alumno; y (iii) permiten ampliar el campo pedagógico al aprendizaje musical del movimiento.

Electrolipólise mediada por TENS e microcorrente em associação com exercício físico

Introdução: A gordura visceral e subcutânea do abdómen poderá aumentar o risco de diferentes patologias. Objectivo: Verificar se a lipólise induzida pela corrente eléctrica, é eficaz na redução de massa gorda. Métodos: Vinte e três mulheres foram divididas em três grupos: controlo só com exercício físico, experimental com TENS e exercício físico e experimental com microcorrente e exercício físico. Resultados: Nos grupos experimentais, aumentaram os triglicerídeos (p<0,05), diminuiu a prega supra-ilíca (p>0,05) e observaram-se valores tendencialmente menores de parâmetros específicos e globais. No grupo da Microcorrente diminuiu a prega abdominal (p>0,05). Conclusão: A electrolipólise poderá ter efeito coadjuvante ao exercício físico, na redução da massa gorda.

An optimal scheduling problem in distribution networks considering V2G

This paper addresses the problem of energy resource scheduling. An aggregator will manage all distributed resources connected to its distribution network, including distributed generation based on renewable energy resources, demand response, storage systems, and electrical gridable vehicles. The use of gridable vehicles will have a significant impact on power systems management, especially in distribution networks. Therefore, the inclusion of vehicles in the optimal scheduling problem will be very important in future network management. The proposed particle swarm optimization approach is compared with a reference methodology based on mixed integer non-linear programming, implemented in GAMS, to evaluate the effectiveness of the proposed methodology. The paper includes a case study that consider a 32 bus distribution network with 66 distributed generators, 32 loads and 50 electric vehicles.

Genetic algorithm methodology applied to intelligent house control

In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy resources management. In this context, load consumption management plays an important role, being necessary to use optimization strategies to adjust the consumption to the supply profile. These optimization strategies can be integrated in demand response programs. The control of the energy consumption of an intelligent house has the objective of optimizing the load consumption. This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors. Consumption management is done reducing or curtailing loads to keep the power consumption in, or below, a specified energy consumption limit. This limit is determined according to the consumer strategy and taking into account the renewable based micro generation, energy price, supplier solicitations, and consumers’ preferences. The proposed approach is compared with a mixed integer non-linear approach.

Particle swarm optimization applied to integrated demand response resources scheduling

The concept of demand response has a growing importance in the context of the future power systems. Demand response can be seen as a resource like distributed generation, storage, electric vehicles, etc. All these resources require the existence of an infrastructure able to give players the means to operate and use them in an efficient way. This infrastructure implements in practice the smart grid concept, and should accommodate a large number of diverse types of players in the context of a competitive business environment. In this paper, demand response is optimally scheduled jointly with other resources such as distributed generation units and the energy provided by the electricity market, minimizing the operation costs from the point of view of a virtual power player, who manages these resources and supplies the aggregated consumers. The optimal schedule is obtained using two approaches based on particle swarm optimization (with and without mutation) which are compared with a deterministic approach that is used as a reference methodology. A case study with two scenarios implemented in DemSi, a demand Response simulator developed by the authors, evidences the advantages of the use of the proposed particle swarm approaches.

Multiagent system for adaptive strategy formulation in electricity markets

Electricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players’ strategies to negotiate in the market. The proposed methodology is multiagent based, using reinforcement learning algorithms to provide players with the capabilities to perceive the changes in the environment, while adapting their bids formulation according to their needs, using a set of different techniques that are at their disposal.

LMP triggered real time demand response events

Recent changes in power systems mainly due to the substantial increase of distributed generation and to the operation in competitive environments has created new challenges to operation and planning. In this context, Virtual Power Players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Demand response market implementation has been done in recent years. Several implementation models have been considered. An important characteristic of a demand response program is the trigger criterion. A program for which the event trigger depends on the Locational Marginal Price (LMP) used by the New England Independent System operator (ISO-NE) inspired the present paper. This paper proposes a methodology to support VPP demand response programs management. The proposed method has been computationally implemented and its application is illustrated using a 32 bus network with intensive use of distributed generation. Results concerning the evaluation of the impact of using demand response events are also presented.