Robust temporal alignment of multimodal cardiac sequences

Given the dynamic nature of cardiac function, correct temporal alignment of pre-operative models and intraoperative images is crucial for augmented reality in cardiac image-guided interventions. As such, the current study focuses on the development of an image-based strategy for temporal alignment of multimodal cardiac imaging sequences, such as cine Magnetic Resonance Imaging (MRI) or 3D Ultrasound (US). First, we derive a robust, modality-independent signal from the image sequences, estimated by computing the normalized crosscorrelation between each frame in the temporal sequence and the end-diastolic frame. This signal is a resembler for the left-ventricle (LV) volume curve over time, whose variation indicates di erent temporal landmarks of the cardiac cycle. We then perform the temporal alignment of these surrogate signals derived from MRI and US sequences of the same patient through Dynamic Time Warping (DTW), allowing to synchronize both sequences. The proposed framework was evaluated in 98 patients, which have undergone both 3D+t MRI and US scans. The end-systolic frame could be accurately estimated as the minimum of the image-derived surrogate signal, presenting a relative error of 1:6 1:9% and 4:0 4:2% for the MRI and US sequences, respectively, thus supporting its association with key temporal instants of the cardiac cycle. The use of DTW reduces the desynchronization of the cardiac events in MRI and US sequences, allowing to temporally align multimodal cardiac imaging sequences. Overall, a generic, fast and accurate method for temporal synchronization of MRI and US sequences of the same patient was introduced. This approach could be straightforwardly used for the correct temporal alignment of pre-operative MRI information and intra-operative US images.

Linking customer satisfaction, quality, and strategic planning

By acknowledging and dissecting the interconnected roles of customer satisfaction, quality, and strategic planning, this paper provides an analytical framework for creating a customer-driven organization and culture. It shows how quality starts and ends with the customer. Companies that are achieving long-term continuous improvement in quality tailored to customer satisfaction possess lasting characteristics such as customer orientation, customer consciousness, and customer responsiveness. In doing so, they liberate the quality concept from the narrow product or service focus to encompass total conformance to customer requirements in spite of the existing functionalization and departmentalization of modern complex structures. In addition to these key components, a customer-driven organization demands building and nurturing a customer satisfaction culture and value system that makes quality improvement and heightened concern for customer satisfaction a permanent aspect of organizational life.

Appraisal of planning regulations regarding large urban distressed areas in European countries

LUDA is a research project of Key Action 4 "City of Tomorrow & Cultural Heritage" of the programme "Energy, Environment and Sustainable Development" within the Fifth Framework Programme of the European Commission

The undergraduate level (1st study cycle) as a fundamental platform/standard for the development of Urban and Regional Planning in higher education programs

LUDA is a research project of Key Action 4 "City of Tomorrow & Cultural Heritage" of the programme "Energy, Environment and Sustainable Development" within the Fifth Framework Programme of the European Commission

Concurrent Planning in the U.K.

O Planeamento Concomitante teve a sua origem no Reino Unido. É um método radical de intervenção social, baseado na Teoria de Afecto (Attachment Theory). O Planeamento Concomitante procura garantir que as crianças vulneráveis nas casas de acolhimento do Estado sejam adoptadas mais rapidamente possível. As crianças são acolhidas no âmbito deste Planeamento durante o período em que está em curso a avaliação da capacidade acolhedora dos pais adoptivos. As crianças sem condições de retorno para as suas famílias são desta forma legalmente adoptadas pelos pais adoptivos com quem as crianças já conseguiram desenvolver laços afectivos.

Scenario Planning and Evaluation of Pricing Strategies in the Portuguese Bulk LPG Market

Portugal has the largest LPG (Liquefied Petroleum Gas) share of primary energy demand in the EU (about 5%). Due to the increasing international cost of LPG in the last years and the high price sensitivity of the consumers the preference for substitute energy sources in new and existing consumers has been increasing. To select the kind of energy, some consumer estimate and compare the total costs while others follow agents (equipment sellers) recommendations. It takes time to build agents perception about the most advantageous source of energy, which is seen as an important resource that drives client resource accumulation and retention. Marketing strategies have to take into consideration some market dynamic effects derived from the accumulation and depletion of these resources. A simple system dynamics model was built, combined with Economic Value Added framework, to evaluate some pricing strategies under different scenarios of LPG international cost.

Scenario Planning and Evaluation of Pricing Strategies in the Portuguese Bulk LPG Market

Portugal has the largest LPG (Liquefied Petroleum Gas) share of primary energy demand in the EU (about 5%). Due to the increasing international cost of LPG in the last years and the high price sensitivity of the consumers the preference for substitute energy sources in new and existing consumers has been increasing. To select the kind of energy, some consumer estimate and compare the total costs while others follow agents (equipment sellers) recommendations. It takes time to build agents perception about the most advantageous source of energy, which is seen as an important resource that drives client resource accumulation and retention. Marketing strategies have to take into consideration some market dynamic effects derived from the accumulation and depletion of these resources. A simple system dynamics model was built, combined with Economic Value Added framework, to evaluate some pricing strategies under different scenarios of LPG international cost.

Enterprise Resource Planning governamental: a percepção dos servidores atuantes no Projeto Ciclo do Ministério da Justiça quanto à implementação

Indubitavelmente, a implementação de sistemas de gestão integrada é fator consolidado em empresas privadas; no entanto, em empresas públicas é relativamente recente e inovadora. Em 2009, o Ministério da Justiça (MJ) foi um dos pioneiros ao firmar parceria com a Universidade Federal do Rio Grande do Norte (UFRN) para a implantação de sistemas de gestão integrada. Com o decorrer dos processos de implementação surge a necessidade de identificar se o acordo surtiu os efeitos a que se destinou, bem como é pertinente a análise da implementação de um Enterprise Resource Planning (ERP) governamental em uma empresa pública, haja vista que existe uma tendência de que se repita em outras instituições governamentais. Assim, o principal objetivo deste artigo é identificar a percepção dos usuários quanto ao processo de implementação de sistemas integrados de gestão vinculados ao Projeto Ciclo, no âmbito da Secretaria Executiva do MJ, destacando suas principais dificuldades e benefícios. A fim de atingir o objetivo da pesquisa foi realizada uma pesquisa quali-quantitativa, cujo procedimento técnico foi o estudo de caso. Verificou-se que os usuários do sistema reconhecem sua importância como apoio à tomada de decisão, que estão cientes do papel que desempenham no processo de implementação e que a tecnologia da informação (TI) é fundamental para se obter melhoria nos processos executados. Ademais, percebe-se os avanços que um ERP governamental pode proporcionar a empresas públicas, destacando-se o planejamento e a confiabilidade das informações.

An appraisal of the health planning method proposed by the Pan-American Health Organization for Latin America

A brief description of the main features of the health planning technique developed by the "Centro de Estudios del Desarrollo" (CENDES) in Venezuela, and proposed by the Pan-American Health Organization for use in Latin America, is presented. This presentation is followed by an appraisal of the planning method which includes comments both upon its positive aspects and upon its negative points. Comments are also made referring to other recent publications of the WHO/PAHO on health planning. In conclusion, the CENDES technique is considered a health planning method of great potential for use especially in underdeveloped areas, the success of its application depending upon the hability of the health planners to introduce the necessary modifications to adapt to the local circunstamces.

Notes on health care planning in Latin America and the Caribbean

Attention is called to the fact that the efforts to improve health of populations in Latin America have generally failed. The inequality in the distribution of ill-health is great. The authors accept the fact that the lack of resources available to the health sector may be a restriction towards the improvement of the situation, but they argue that a much more important issue is the misuse of such resources and their maldistribution within the health sector. The lack of integration and coordination between the health services, the conflict of public and private health systems, the under-utilization of existing services and the gap between planning and real implementation are discussed.

A checkpointing-enabled and resource-aware Java Virtual Machine for efficient and robust e-Science applications in grid environments

Object-oriented programming languages presently are the dominant paradigm of application development (e. g., Java,. NET). Lately, increasingly more Java applications have long (or very long) execution times and manipulate large amounts of data/information, gaining relevance in fields related with e-Science (with Grid and Cloud computing). Significant examples include Chemistry, Computational Biology and Bio-informatics, with many available Java-based APIs (e. g., Neobio). Often, when the execution of such an application is terminated abruptly because of a failure (regardless of the cause being a hardware of software fault, lack of available resources, etc.), all of its work already performed is simply lost, and when the application is later re-initiated, it has to restart all its work from scratch, wasting resources and time, while also being prone to another failure and may delay its completion with no deadline guarantees. Our proposed solution to address these issues is through incorporating mechanisms for checkpointing and migration in a JVM. These make applications more robust and flexible by being able to move to other nodes, without any intervention from the programmer. This article provides a solution to Java applications with long execution times, by extending a JVM (Jikes research virtual machine) with such mechanisms. Copyright (C) 2011 John Wiley & Sons, Ltd.

Towards an efficient and robust foot classification from pedobarographic images

O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).

A data-mining-based methodology for transmission expansion planning

In recent decades, all over the world, competition in the electric power sector has deeply changed the way this sector’s agents play their roles. In most countries, electric process deregulation was conducted in stages, beginning with the clients of higher voltage levels and with larger electricity consumption, and later extended to all electrical consumers. The sector liberalization and the operation of competitive electricity markets were expected to lower prices and improve quality of service, leading to greater consumer satisfaction. Transmission and distribution remain noncompetitive business areas, due to the large infrastructure investments required. However, the industry has yet to clearly establish the best business model for transmission in a competitive environment. After generation, the electricity needs to be delivered to the electrical system nodes where demand requires it, taking into consideration transmission constraints and electrical losses. If the amount of power flowing through a certain line is close to or surpasses the safety limits, then cheap but distant generation might have to be replaced by more expensive closer generation to reduce the exceeded power flows. In a congested area, the optimal price of electricity rises to the marginal cost of the local generation or to the level needed to ration demand to the amount of available electricity. Even without congestion, some power will be lost in the transmission system through heat dissipation, so prices reflect that it is more expensive to supply electricity at the far end of a heavily loaded line than close to an electric power generation. Locational marginal pricing (LMP), resulting from bidding competition, represents electrical and economical values at nodes or in areas that may provide economical indicator signals to the market agents. This article proposes a data-mining-based methodology that helps characterize zonal prices in real power transmission networks. To test our methodology, we used an LMP database from the California Independent System Operator for 2009 to identify economical zones. (CAISO is a nonprofit public benefit corporation charged with operating the majority of California’s high-voltage wholesale power grid.) To group the buses into typical classes that represent a set of buses with the approximate LMP value, we used two-step and k-means clustering algorithms. By analyzing the various LMP components, our goal was to extract knowledge to support the ISO in investment and network-expansion planning.

Optimization techniques for power distribution planning with uncertainties: a comparative study

Important research effort has been devoted to the topic of optimal planning of distribution systems. The non linear nature of the system, the need to consider a large number of scenarios and the increasing necessity to deal with uncertainties make optimal planning in distribution systems a difficult task. Heuristic techniques approaches have been proposed to deal with these issues, overcoming some of the inherent difficulties of classic methodologies. This paper considers several methodologies used to address planning problems of electrical power distribution networks, namely mixedinteger linear programming (MILP), ant colony algorithms (AC), genetic algorithms (GA), tabu search (TS), branch exchange (BE), simulated annealing (SA) and the Bender´s decomposition deterministic non-linear optimization technique (BD). Adequacy of theses techniques to deal with uncertainties is discussed. The behaviour of each optimization technique is compared from the point of view of the obtained solution and of the methodology performance. The paper presents results of the application of these optimization techniques to a real case of a 10-kV electrical distribution system with 201 nodes that feeds an urban area.