971 resultados para hybrid tool solutions


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Projeto de investigação integrado de International Master in Sustainable Built Environment

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Tese de Doutoramento em Engenharia Civil.

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Background: Conventional surgical repair of thoracic aortic dissections is a challenge due to mortality and morbidity risks. Objectives: We analyzed our experience in hybrid aortic arch repair for complex dissections of the aortic arch. Methods: Between 2009 and 2013, 18 patients (the mean age of 67 ± 8 years-old) underwent hybrid aortic arch repair. The procedural strategy was determined on the individual patient. Results: Thirteen patients had type I repair using trifurcation and another patient with bifurcation graft. Two patients had type II repair with replacement of the ascending aorta. Two patients received extra-anatomic bypass grafting to left carotid artery allowing covering of zone 1. Stent graft deployment rate was 100%. No patients experienced stroke. One patient with total debranching of the aortic arch following an acute dissection of the proximal arch expired 3 months after TEVAR due to heart failure. There were no early to midterm endoleaks. The median follow-up was 20 ± 8 months with patency rate of 100%. Conclusion: Various debranching solutions for different complex scenarios of the aortic arch serve as less invasive procedures than conventional open surgery enabling safe and effective treatment of this highly selected subgroup of patients with complex aortic pathologies.

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PADICAT is the web archive created in 2005 in Catalonia (Spain ) by the Library of Catalonia (BC ) , the National Library of Catalonia , with the aim of collecting , processing and providing permanent access to the digital heritage of Catalonia . Its harvesting strategy is based on the hybrid model ( of massive harvesting . SPA top level domain ; selective compilation of the web site output of Catalan organizations; focused harvesting of public events) . The system provides open access to the whole collection , on the Internet . We consider necessary to complement the current search for new and visualization software with open source software tool, CAT ( Curator Archiving Tool) , composed by three modules aimed to effectively managing the processes of human cataloguing ; to publish directories where the digital resources and special collections ; and to offer statistical information of added value to end users. Within the framework of the International Internet Preservation Consortium meeting ( Vienna 2010) , the progress in the development of this new tool, and the philosophy that has motivated his design, are presented to the international community.

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The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification

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One of the important questions in biological evolution is to know if certain changes along protein coding genes have contributed to the adaptation of species. This problem is known to be biologically complex and computationally very expensive. It, therefore, requires efficient Grid or cluster solutions to overcome the computational challenge. We have developed a Grid-enabled tool (gcodeml) that relies on the PAML (codeml) package to help analyse large phylogenetic datasets on both Grids and computational clusters. Although we report on results for gcodeml, our approach is applicable and customisable to related problems in biology or other scientific domains.

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There is a nationwide need for a safe, efficient and cost effective transportation system. An essential component of this system is the bridges. Local agencies perhaps have an even greater task than federal and state agencies in maintaining the low volume road (LVR) bridge system due to lack of sufficient resources and funding. The primary focus of this study was to review the various aspects of off-system bridge design, rehabilitation, and replacement. Specifically, a reference report was developed to address common problems in LVR bridges. The source of information included both Iowa and national agencies. This report is intended to be a “user manual” or “tool box” of information, procedures and choices for county engineers to employ in the management of their bridge inventory plus identify areas and problems that need to be researched

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Two important challenges that teachers are currently facing are the sharing and the collaborative authoring of their learning design solutions, such as didactical units and learning materials. On the one hand, there are tools that can be used for the creation of design solutions and only some of them facilitate the co-edition. However, they do not incorporate mechanisms that support the sharing of the designs between teachers. On the other hand, there are tools that serve as repositories of educational resources but they do not enable the authoring of the designs. In this paper we present LdShake, a web tool whose novelty is focused on the combined support for the social sharing and co-edition of learning design solutions within communities of teachers. Teachers can create and share learning designs with other teachers using different access rights so that they can read, comment or co-edit the designs. Therefore, each design solution is associated to a group of teachers able to work on its definition, and another group that can only see the design. The tool is generic in that it allows the creation of designs based on any pedagogical approach. However, it can be particularized in instances providing pre-formatted designs structured according to a specific didactic method (such as Problem-Based Learning, PBL). A particularized LdShake instance has been used in the context of Human Biology studies where teams of teachers are required to work together in the design of PBL solutions. A controlled user study, that compares the use of a generic LdShake and a Moodle system, configured to enable the creation and sharing of designs, has been also carried out. The combined results of the real and controlled studies show that the social structure, and the commenting, co-edition and publishing features of LdShake provide a useful, effective and usable approach for facilitating teachers' teamwork.

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Rough a global coarse problem. Although these techniques are usually employed for problems in which the fine-scale processes are described by Darcy's law, they can also be applied to pore-scale simulations and used as a mathematical framework for hybrid methods that couples a Darcy and pore scales. In this work, we consider a pore-scale description of fine-scale processes. The Navier-Stokes equations are numerically solved in the pore geometry to compute the velocity field and obtain generalized permeabilities. In the case of two-phase flow, the dynamics of the phase interface is described by the volume of fluid method with the continuum surface force model. The MsFV method is employed to construct an algorithm that couples a Darcy macro-scale description with a pore-scale description at the fine scale. The hybrid simulations results presented are in good agreement with the fine-scale reference solutions. As the reconstruction of the fine-scale details can be done adaptively, the presented method offers a flexible framework for hybrid modeling.

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The objective of this work was to verify the existence of a lethal locus in a eucalyptus hybrid population, and to quantify the segregation distortion in the linkage group 3 of the Eucalyptus genome. A E. grandis x E. urophylla hybrid population, which segregates for rust resistance, was genotyped with 19 microsatellite markers belonging to linkage group 3 of the Eucalyptus genome. To quantify the segregation distortion, maximum likelihood (ML) models, specific to outbreeding populations, were used. These models consider the observed marker genotypes and the lethal locus viability as parameters. The ML solutions were obtained using the expectation‑maximization algorithm. A lethal locus in the linkage group 3 was verified and mapped, with high confidence, between the microssatellites EMBRA 189 e EMBRA 122. This lethal locus causes an intense gametic selection from the male side. Its map position is 25 cM from the locus which controls the rust resistance in this population.

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Peer-reviewed

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Tämä diplomityö käsittelee työterveys- ja työturvallisuushallinnan (TTT) sekä ympäristönsuojelun ongelmia ja riskejä, joita tehdasalueen toiminnanharjoittaja kohtaa ulkoistaessaan tehdastoimintojaan ja siirtyessään käyttämään 24 h ulkoisia kunnossapitopalveluja. Teoriaosa selventää ulkoistukseen liittyviä lainmukaisia määräyksiä ja vaatimuksia koskien terveyden, turvallisuuden ja ympäristöongelmien hallintaa sellu-, paperi- ja kartonkitehtaissa Euroopassa, Yhdysvalloissa ja Suomessa. TTT-toiminnan tason sekä ympäristönsuojelun tason mittaamisen ongelmat tuodaan esille. Olemassa olevia kansainvälisiä TTT-johtamisjärjestelmien ja ympäristöjärjestelmien standardeja, riskien hallintatyökaluja ja ohjelmia esitellään lyhyesti. Käytännön osa toteutettiin tapaustutkimuksena, jonka kohteena oli Äänekosken tehdaskombinaatti ja kemianteollisuuden laitos, Noviant CMC Oy. TTT-hallintatoimien ja ympäristönsuojelun ongelmia tutkitaan tehdastoimintoja ulkoistettaessa. Integroidun johtamisjärjestelmän auditointimenettelyt, ulkoistuksen kohdealueet, pk-yrityksien riskien hallinta ja ulkoisten työntekijöiden turvallisuuskoulutus ovat erityisen tarkastelun alla. Käyttäen hyväksi kerättyä TTT- ja ympäristöaineistoa, suunniteltiin malli ja sisältöehdotus uudelle internet-selain tyyppiselle työkalulle TTT- ja ympäristöasioiden hallinnan avuksi. Työkalu on tarkoitettu palvelemaan Noviant CMC Oy:n eri sidosryhmien tarpeita. Diplomityön käytännön osa muodostaa pohjan JP MILLSAFE - pilottiprojektille, joka käynnistettiin internet-selain tyyppisen turvallisuuspalvelusovelluksen kehittämiseksi palvelemaan Äänekosken tehdaskombinaatin eri sidosryhmien tarpeita.

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AbstractObjective:The present study was aimed at reviewing the literature to identify solutions for problems observed in radiology services.Materials and Methods:Basic, qualitative, exploratory literature review at Scopus and SciELO databases, utilizing the Mendeley and Illustrator CC Adobe softwares.Results:In the databases, 565 papers – 120 out of them, pdf free – were identified. Problems observed in the radiology sector are related to procedures scheduling, humanization, lack of training, poor knowledge and use of management techniques, and interaction with users. The design management provides the services with interesting solutions such as Benchmarking, CRM, Lean Approach, ServiceBlueprinting, continued education, among others.Conclusion:Literature review is an important tool to identify problems and respective solutions. However, considering the small number of studies approaching management of radiology services, this is a great field of research for the development of deeper studies.

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Electrolyte solutions are of importance in a wide range of scientific contexts and as such have attracted considerable theoretical and experimental effort over many years. Nuclear Magnetic resonance provides a precise and versatile tool for investigation of electrolyte solutions, both in water and in organic solvents. Many structural and dynamic properties can be obtained through NMR experiments. The solution of aluminum chloride in water was studied. Different concentrations were taken for investigation. Independence of maximum line shift from concentration and acidity was shown. Six-coordinated structure of solvation shell was confirmed by experiments on 'H and 27A1 nuclei. Diffusion coefficients were studied. The solution of nickel chloride in methanol was studied. Lines, corresponding to coordinated and bulk methanol were found. Four-, five- and six-coordinated structures were found in different temperatures. The line for coordinated -OD group of deuterated methanol was observed on 2H spectrum for the first time. Partial deuteration of CH3 group was detected. Inability to observe coordinated -OH group was explained.

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Objective. Recently, significant advances have been made in the early diagnosis of Alzheimer’s disease from EEG. However, choosing suitable measures is a challenging task. Among other measures, frequency Relative Power and loss of complexity have been used with promising results. In the present study we investigate the early diagnosis of AD using synchrony measures and frequency Relative Power on EEG signals, examining the changes found in different frequency ranges. Approach. We first explore the use of a single feature for computing the classification rate, looking for the best frequency range. Then, we present a multiple feature classification system that outperforms all previous results using a feature selection strategy. These two approaches are tested in two different databases, one containing MCI and healthy subjects (patients age: 71.9 ± 10.2, healthy subjects age: 71.7 ± 8.3), and the other containing Mild AD and healthy subjects (patients age: 77.6 ± 10.0; healthy subjects age: 69.4± 11.5). Main Results. Using a single feature to compute classification rates we achieve a performance of 78.33% for the MCI data set and of 97.56 % for Mild AD. Results are clearly improved using the multiple feature classification, where a classification rate of 95% is found for the MCI data set using 11 features, and 100% for the Mild AD data set using 4 features. Significance. The new features selection method described in this work may be a reliable tool that could help to design a realistic system that does not require prior knowledge of a patient's status. With that aim, we explore the standardization of features for MCI and Mild AD data sets with promising results.