Aplicação de métodos de calibração multivariada para a determinação simultânea de riboflavina (VB2), tiamina (VB1), piridoxina (VB6) e nicotinamida (VPP)

In this work, the artificial neural networks (ANN) and partial least squares (PLS) regression were applied to UV spectral data for quantitative determination of thiamin hydrochloride (VB1), riboflavin phosphate (VB2), pyridoxine hydrochloride (VB6) and nicotinamide (VPP) in pharmaceutical samples. For calibration purposes, commercial samples in 0.2 mol L-1 acetate buffer (pH 4.0) were employed as standards. The concentration ranges used in the calibration step were: 0.1 - 7.5 mg L-1 for VB1, 0.1 - 3.0 mg L-1 for VB2, 0.1 - 3.0 mg L-1 for VB6 and 0.4 - 30.0 mg L-1 for VPP. From the results it is possible to verify that both methods can be successfully applied for these determinations. The similar error values were obtained by using neural network or PLS methods. The proposed methodology is simple, rapid and can be easily used in quality control laboratories.

Multilevel negotiation in smart grids for VPP management of distributed resources

A multilevel negotiation mechanism for operating smart grids and negotiating in electricity markets considers the advantages of virtual power player management.

Seller, buyer and VPP agents behavior on a simulated electricity market

Competitive 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 an electricity market simulator able to model market players and simulate their operation in the market. As market players are complex entities, having their characteristics and objectives, making their decisions and interacting with other players, a multi-agent architecture is used and proved to be adequate. MASCEM players have learning capabilities and different risk preferences. They are able to refine their strategies according to their past experience (both real and simulated) and considering other agents’ behavior. Agents’ behavior is also subject to its risk preferences.

Multi-agent based electricity market simulator with VPP: Conceptual and implementation issues

This paper presents a new architecture for the MASCEM, a multi-agent electricity market simulator. This is implemented in a Prolog which is integrated in the JAVA program by using the LPA Win-Prolog Intelligence Server (IS) provides a DLL interface between Win-Prolog and other applications. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets.

Aplicação de métodos de calibração multivariada para a determinação simultânea de riboflavina (VB2), tiamina (VB1), piridoxina (VB6) e nicotinamida (VPP)

In this work, the artificial neural networks (ANN) and partial least squares (PLS) regression were applied to UV spectral data for quantitative determination of thiamin hydrochloride (VB1), riboflavin phosphate (VB2), pyridoxine hydrochloride (VB6) and nicotinamide (VPP) in pharmaceutical samples. For calibration purposes, commercial samples in 0.2 mol L-1 acetate buffer (pH 4.0) were employed as standards. The concentration ranges used in the calibration step were: 0.1 - 7.5 mg L-1 for VB1, 0.1 - 3.0 mg L-1 for VB2, 0.1 - 3.0 mg L-1 for VB6 and 0.4 - 30.0 mg L-1 for VPP. From the results it is possible to verify that both methods can be successfully applied for these determinations. The similar error values were obtained by using neural network or PLS methods. The proposed methodology is simple, rapid and can be easily used in quality control laboratories.

Same nolmay catechesis, thet är, wår christeligha hufwud stycken, eller troos articklar medh s.d. Luth. förklarning vppå lappespråk förwendt och aff then edle och wälborne herre, her Johan Skytte, frijherre til Duderoff, herre til Grönsöö, strömsrŭ och Elffwesiö, riddare, Sweriges rijkes rådh och general gubernator i Liffland och Ingermanneland, laghman öffuer Norre Finland, sampt Vbsala Academiae cantzler, etc. Bestelt til at tryckias medh eghen omkostnadt. Procurante, O. P. N

Arkit: A-B8 C4.

Same nolmay catechesis, thet är, wår christeligha hufwud stycken, eller troos articklar medh s.d. Luth. förklarning vppå lappespråk förwendt och aff then edle och wälborne herre, her Johan Skytte, frijherre til Duderoff, herre til Grönsöö, strömsrŭ och Elffwesiö, riddare, Sweriges rijkes rådh och general gubernator i Liffland och Ingermanneland, laghman öffuer Norre Finland, sampt Vbsala Academiae cantzler, etc. Bestelt til at tryckias medh eghen omkostnadt. Procurante, O. P. N

Arkit: A-B8 C4.

Same nolmay catechesis, thet är, wår christeligha hufwud stycken, eller troos articklar medh s.d. Luth. förklarning vppå lappespråk förwendt och aff then edle och wälborne herre, her Johan Skytte, frijherre til Duderoff, herre til Grönsöö, strömsrŭ och Elffwesiö, riddare, Sweriges rijkes rådh och general gubernator i Liffland och Ingermanneland, laghman öffuer Norre Finland, sampt Vbsala Academiae cantzler, etc. Bestelt til at tryckias medh eghen omkostnadt. Procurante, O. P. N

Arkit: A-B8 C4.

Edificio de 132 viviendas VPP para la EMVS. Vallecas, Ensanche 57

Análisis arquitectónico de la obra edificatoria y explicación de los procesos de generación de ésta

Validity and reliability of self-reported weight and height measures for the diagnoses of adolescent's nutritional status

OBJETIVO: Avaliar a validade do peso, estatura e Índice de Massa Corporal (IMC) referidos e sua confiabilidade para o diagnóstico do estado nutricional de adolescentes de Piracicaba. MÉTODOS: Participaram do estudo 360 adolescentes de ambos os sexos, de escolas públicas de Piracicaba, com idade entre 10 e 15 anos. Os adolescentes auto-relataram seu peso e estatura, sendo esses valores obtidos por medidas diretas, logo em seguida, pelos entrevistadores. A validade do IMC referido foi calculada segundo índices de sensibilidade, especificidade e valor preditivo positivo (VPP). Avaliou-se a concordância entre as categorias de IMC obtido por meio das medidas referidas e aferidas a partir do coeficiente kappa ponderado, coeficiente de correlação de Lin. e gráficos de Bland e Altman e Lin. RESULTADOS: Verificou-se que tanto os meninos quanto as meninas subestimaram o peso (-1,0 meninas e meninos) e a estatura (meninas -1,2 e meninos -0,8) (p < 0,001). Os valores de IMC aferidos e referidos apresentaram uma concordância moderada. A sensibilidade do IMC referido para classificar os indivíduos obesos foi maior para os meninos (87,5%), enquanto a especificidade foi maior para as meninas (92,7%). O VPP foi elevado somente para a classificação da eutrofia. CONCLUSÕES: As medidas referidas de peso e estatura de adolescentes não representam medidas válidas e, portanto, não devem ser usadas em substituição aos valores mensurados. Além disso, verificou-se que 10% dos meninos obesos e 40% das meninas obesas poderiam permanecer não identificados utilizando-se as medidas auto-referidas, confirmando a baixa validade das medidas auto-referidas.

Computational chemistry on Fujitsu vector-parallel processors: Development and performance of applications software

In this and a preceding paper, we provide an introduction to the Fujitsu VPP range of vector-parallel supercomputers and to some of the computational chemistry software available for the VPP. Here, we consider the implementation and performance of seven popular chemistry application packages. The codes discussed range from classical molecular dynamics to semiempirical and ab initio quantum chemistry. All have evolved from sequential codes, and have typically been parallelised using a replicated data approach. As such they are well suited to the large-memory/fast-processor architecture of the VPP. For one code, CASTEP, a distributed-memory data-driven parallelisation scheme is presented. (C) 2000 Published by Elsevier Science B.V. All rights reserved.

Avaliação por imagem nos candidatos ao implante coclear: correlação radiológico-cirúrgica

No pré-operatório da cirurgia de Implante Coclear (IC) o estudo por imagem adquire importância fundamental, proporcionando ao cirurgião segurança na indicação e realização da cirurgia. A avaliação ideal compreende a associação entre Tomografia Computadorizada (TC) e Ressonância Nuclear Magnética (RNM). OBJETIVO: Avaliar a acurácia dos exames de imagem como preditores de possíveis complicações durante o ato cirúrgico. Desenho do Estudo: Corte transversal. MATERIAL E MÉTODOS: Foram avaliados por prontuários, 104 pacientes submetidos à cirurgia de IC de maio de 2003 a outubro de 2006. Estes passaram por uma seleção multidisciplinar pré-operatória, e radiológica por TC associada ou não à RNM. RESULTADOS: Excluiu-se 4 pacientes sem registro de exames radiológicos, resultando 100 pacientes. Estes foram divididos em dois grupos: grupo A (TC) apresentou acurácia 69,69%, sensibilidade 36,36%; especificidade 86,36%; Valor Preditivo Positivo (VPP) 57,14%; Valor Preditivo Negativo (VPN) 73,07% e o B (TC e RNM) acurácia 80,59%, sensibilidade 38,46%; especificidade 90,74%; VPP 50,0%; VPN 85,96%. CONCLUSÕES: A avaliação radiológica pré-operatória do IC mostrou-se importante, sendo capaz de identificar alterações anatômicas, evitando, ou ao menos, preparando o cirurgião para possíveis complicações. Esse estudo demonstrou que a avaliação associada com TC e RNM pôde ser considerada superior à TC isoladamente.

VPPs information needs for effective operation in competitive electricity markets

The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs may turn electricity generation by renewable sources valuable in electricity markets. Information availability and adequate decision-support tools are crucial for achieving VPPs’ goals. This involves information concerning associated producers and market operation. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, focusing mainly in the information requirements for adequate decision making.

Importance of technologies characteristics for VPPs

The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. One of the most important tasks of a VPP is the conjugation of technologies to obtain a consistent set of associated producers and allow them to operate in the electric market. This paper presents some characteristics regarding already existent technologies and relevant aspects for producers and for VPP.

ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.