GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data

Until mid 2006, SCIAMACHY data processors for the operational retrieval of nitrogen dioxide (NO2) column data were based on the historical version 2 of the GOME Data Processor (GDP). On top of known problems inherent to GDP 2, ground-based validations of SCIAMACHY NO2 data revealed issues specific to SCIAMACHY, like a large cloud-dependent offset occurring at Northern latitudes. In 2006, the GDOAS prototype algorithm of the improved GDP version 4 was transferred to the off-line SCIAMACHY Ground Processor (SGP) version 3.0. In parallel, the calibration of SCIAMACHY radiometric data was upgraded. Before operational switch-on of SGP 3.0 and public release of upgraded SCIAMACHY NO2 data, we have investigated the accuracy of the algorithm transfer: (a) by checking the consistency of SGP 3.0 with prototype algorithms; and (b) by comparing SGP 3.0 NO2 data with ground-based observations reported by the WMO/GAW NDACC network of UV-visible DOAS/SAOZ spectrometers. This delta-validation study concludes that SGP 3.0 is a significant improvement with respect to the previous processor IPF 5.04. For three particular SCIAMACHY states, the study reveals unexplained features in the slant columns and air mass factors, although the quantitative impact on SGP 3.0 vertical columns is not significant.

Intelligent alarm processing

This paper presents the analysis that have been carried out in the alarm system of the DCRanger EMS. The intention of this study is to present the problem of alarm processing in electric energy control centers, its various aspects and operational difficulties due to operator needs. Some tests are produced in order to identify the desirable features an alarm system should possess in order to be of effective help in the operative duty. © 2006 IEEE.

Distribution network reconfiguration using an efficient evolutionary algorithm

Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of sectionalizing switches. This not only reduces the power losses, but also relieves the overloading of the network components. Network reconfiguration belongs to a complex family of problems because of their combinatorial nature and multiple constraints. This paper proposes a solution to this problem, using a specialized evolutionary algorithm, with a novel codification, and a brand new way of implement the genetic operators considering the problem characteristics. The algorithm is presented and tested in a real distribution system, showing excellent results and computational efficiency. © 2007 IEEE.

Optimal power flow via interior-exterior method

This paper presents a new approach to the resolution of the Optimal Power Flow problem. In this approach the inequality constraints are treated by the Modified Barrier and Primal-Dual Logarithmic Barrier methods. The inequality constraints are transformed into equalities by introducing positive auxiliary variables, which are perturbed by the barrier parameter. A Lagrangian function is associated with the modified problem. The first-order necessary conditions are applied to the Lagrangian, generating a nonlinear system which is solved by Newton's method. The perturbation of the auxiliary variables results in an expansion of the feasible set of the original problem, allowing the limits of the inequality constraints to be reached. Numerical tests on the Brazilian CESP and South-Southeast systems and a comparative test indicated that the new approach efficiently resolves of the Optimal Power Flow problem. © 2007 IEEE.

Lot sizing and furnace scheduling in small foundries

A lot sizing and scheduling problem prevalent in small market-driven foundries is studied. There are two related decision levels: (1) the furnace scheduling of metal alloy production, and (2) moulding machine planning which specifies the type and size of production lots. A mixed integer programming (MIP) formulation of the problem is proposed, but is impractical to solve in reasonable computing time for non-small instances. As a result, a faster relax-and-fix (RF) approach is developed that can also be used on a rolling horizon basis where only immediate-term schedules are implemented. As well as a MIP method to solve the basic RF approach, three variants of a local search method are also developed and tested using instances based on the literature. Finally, foundry-based tests with a real-order book resulted in a very substantial reduction of delivery delays and finished inventory, better use of capacity, and much faster schedule definition compared to the foundry's own practice. © 2006 Elsevier Ltd. All rights reserved.

Image categorization through optimum path forest and visual words

Different from the first attempts to solve the image categorization problem (often based on global features), recently, several researchers have been tackling this research branch through a new vantage point - using features around locally invariant interest points and visual dictionaries. Although several advances have been done in the visual dictionaries literature in the past few years, a problem we still need to cope with is calculation of the number of representative words in the dictionary. Therefore, in this paper we introduce a new solution for automatically finding the number of visual words in an N-Way image categorization problem by means of supervised pattern classification based on optimum-path forest. © 2011 IEEE.

An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the proposed EGA presented higher efficiency in solving the static and multistage LTTEP problem, solving a smaller number of linear programming problems to find the optimal solutions and thus finding a better solution to the multistage LTTEP problem. Copyright © 2012 Luis A. Gallego et al.

Evaluación del impacto de una intervención educativa en atención farmacéutica y farmacia clínica

Introduction: The World Health Organization considers pharmaceutical care (PC) of fundamental importance for the patient and the community. Its exercise requires knowledge and skills, which can be acquired in academic and/or continuing educations, credited for effectiveness and impact evaluation. However, few manuscripts in the literature have showed the contribution of the educational interventions on the knowledge, skill and attitude of students and professionals who participate in scientifi c events related to PC. Objective: To evaluate the impact of an educational intervention (EI), and its degree of satisfaction, to pharmacists and pharmacy students. Method: A quasi-experimental study was performed, through an extension course with 40 hours of lectures approaching issues related to PC and clinical pharmacy (CP). Participants answered a survey which was handed out before and after the EI. The statistic tests of Sinais and Mann-Whitney were applied to evaluate the EI signifi cance. Results: Participants (n= 49) were mostly (n= 34) students and performing activities related to PC and CP (n= 20). Statistics differences, before and after the EI, were found in the scores of knowledge, skill and attitude (p <0.001). The evaluated item which showed the most improvement was the last one. Most (n= 30) had exceeded or met their expectations (n= 19). Conclusions: The analysis of the data led us to conclude that an EI of 40 h/week about knowledge, skill and attitude in PC using traditional methods, improves knowledge and problem-solving skills of participants. ©2012 Ediciones Mayo, S.A. All rights reserved.

Planejamento em saúde bucal no município de João Pessoa, Estado da Paraíba: o cirurgiãodentista enquanto protagonista da atenção básica

The aim was to identify the perception of Oral Health Planning (OHP) of basic care (BC) dental surgeons (DSs) in João Pessoa, Paraíba State, Brazil. Seventeen BC DSs from João Pessoa were interviewed. A qualitative analysis was performed using the Discourse of the Collective Subject (DCS) methodology. DCS obtained: Impact - My work is effective when the user's need remains at the BC. Social Control - The population participates in the organization of promotional activities, but I think it doesn't have enough maturity to opine on OHP. OHP Basis and Organization - The OHP has a diverse organization and is based on user needs. It can be concluded that the knowledge of the DSs on OHP is varied. There is limited understanding about problem-solving. Social control is considered incipient and weak. It is understood that the organization of the local OHP assumes a diverse character and should be based on user demands.

BBA: A binary bat algorithm for feature selection

Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the bats behaviour, which has never been applied to this context so far. The wrapper approach combines the power of exploration of the bats together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in five public datasets have demonstrated that the proposed approach can outperform some well-known swarm-based techniques. © 2012 IEEE.

Qualidade de vida de crianças e adolescentes asmáticos: Sua relação com estratégias de enfrentamento materno

Objective: To evaluate the quality of life of asthmatic children and adolescents, its relation with sociodemographic and clinical variables, and maternal coping strategies. Methods: Cross-sectional study in which children and adolescents with asthma answered a quality of life questionnaire, and their mothers did the same with a coping scale. Results: Out of the 42 children and adolescents investigated, 74% were classified as having mild/severe persistent asthma; 19%, mild persistent asthma; and 7%, intermittent asthma. A total of 69% of the participants showed impaired quality of life with mean scores ranging between 4.7 and 3.5, with greater harm in the domain of symptoms (score=3.6). There was a significant association between maternal schooling and the general index of quality of life, whereas maternal coping strategies were not associated with the severity of asthma. A large number of strategies used by mothers to cope with their children's crises were related to the management of stressors or to religious practices, and the latter presented negative correlation with the children's quality of life general index, showing that mothers whose children had worse quality of life used more religious coping. Conclusions: Asthmatic children, particularly those with moderate/severe persistent asthma, showed significant alterations as to quality of life. The high percentage of mothers using religious strategies, particularly in face of more severe clinical conditions, seem to indicate that they feel powerless to act, thus requiring concrete and useful orientation to low income families.

Educação ambiental e escola pública: concepções e práticas pedagógicas nos materiais didáticos institucionais (1988-2005)

Pós-graduação em Educação - IBRC

Um Estudo de pavimentação do plano utilizando caleidoscópios e o software Cabri Géomètre II

Pós-graduação em Educação Matemática - IGCE

Relações entre os conhecimentos, as atitudes e a confiança dos alunos do curso de licenciatura em Matemática em resolução de problemas geométricos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Possibilidades e limites da aprendizagem baseada em problemas no ensino médio

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)