965 resultados para Index reduction techniques
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El propósito de este estudio fue conocer las concepciones de profesores de educación primaria sobre las tecnologías educativas en dos dimensiones: a) conocimiento de las tecnologías de la información y comunicación; y b) creencias sobre el uso educativo que el profesorado da a estas herramientas. Se opta por un enfoque metodológico cuantitativo y un diseño no-experimental descriptivo del tipo encuesta. El análisis de los datos se realizó mediante paquete estadístico SPSS 14.0 y las técnicas utilizadas fueron descriptivos, frecuencias y porcentajes, técnicas de reducción de datos (análisis factorial) e inferencia estadística (comparación de medias y porcentajes). Los resultados demuestran que la mayoría de los profesores reconocen el interés que las tecnologías despiertan en el alumnado y las oportunidades de aprendizaje que ofrecen principalmente en relación con los diferentes ritmos de aprendizaje y las necesidades educativas especiales. Se identifica la búsqueda de información como una competencia fundamental, así como se evidencia que existe una relación causal entre el nivel de formación, la importancia que el profesor otorga al recurso y el uso educativo. Los resultados hacen aconsejable promover programas de formación continua en esta área y fortalecer la formación inicial docente.
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The ability to predict the properties of magnetic materials in a device is essential to ensuring the correct operation and optimization of the design as well as the device behavior over a wide range of input frequencies. Typically, development and simulation of wide-bandwidth models requires detailed, physics-based simulations that utilize significant computational resources. Balancing the trade-offs between model computational overhead and accuracy can be cumbersome, especially when the nonlinear effects of saturation and hysteresis are included in the model. This study focuses on the development of a system for analyzing magnetic devices in cases where model accuracy and computational intensity must be carefully and easily balanced by the engineer. A method for adjusting model complexity and corresponding level of detail while incorporating the nonlinear effects of hysteresis is presented that builds upon recent work in loss analysis and magnetic equivalent circuit (MEC) modeling. The approach utilizes MEC models in conjunction with linearization and model-order reduction techniques to process magnetic devices based on geometry and core type. The validity of steady-state permeability approximations is also discussed.
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Apesar dos benefícios econômicos dos agrotóxicos para a agricultura, os efeitos negativos à saúde humana e ao meio ambiente são questionados. Dentre os agroquímicos que são usados na agricultura, destacam-se os fungicidas, que são utilizados em grande quantidade nas lavouras para controle de doenças. Com intuito de verificar os danos ocasionados por esses compostos, diversos métodos de avaliação têm sido utilizados na análise de toxicidade e mutagenicidade dos agrotóxicos. As análises macroscópicas (germinação e crescimento radicular) e microscópicas (índice mitótico, aberrações cromossômicas e nucleares) são importantes na determinação da toxicidade de compostos lançados ao meio ambiente, porque permite averiguar danos na germinação, no desenvolvimento da plântula e no ciclo celular. No entanto, para melhor compreensão dos mecanismos moleculares da mutação e de seus efeitos sobre a população exposta à contaminação ambiental, os marcadores moleculares oferecem perspectivas, por medir o efeito direto da exposição sobre o DNA. O objetivo do trabalho foi avaliar o potencial tóxico dos fungicidas por análises macroscópicas, microscópicas e moleculares em Allium cepa. Os resultados indicam redução nos parâmetros de germinação, crescimento radicular e índice mitótico nas maiores concentrações para os princípios ativos difenoconazol, tebuconazol, procimidona e iprodiona, quando comparados ao controle negativo, mostrando que os princípios apresentaram efeito genotóxico, citotóxico, fitotóxico para as raízes de Allium cepa pela alta frequência de aberrações cromossômicas, nucleares e redução do índice mitótico. Os resultados moleculares indicaram mudança no perfil de amplificação dos primers SSR (Sequência Simples Repetitiva) e o ISSR (Inter Sequência Simples Repetitiva), após a exposição do Allium cepa aos princípios ativos, incluindo alterações na perda, ganho e mudança na intensidade de banda. A perda e o ganho de bandas aconteceram à medida que aumentou a concentração dos princípios ativos. O método de agrupamento e as distâncias e dissimilaridades mostraram relação de dose-dependência, pois conseguiu separar as maiores concentrações do controle negativo para os princípios ativos no ISSR e SSR, com exceção dos princípios procimidona e iprodiona no SSR. Esses dados indicam que possui relação entre as análises utilizadas, sendo indicadores confiáveis para detectar alterações por substâncias químicas. Os marcadores moleculares ISSR e SSR são ferramentas eficientes em avaliar alterações ocasionadas no DNA por fungicidas podendo ser utilizada em estudos de toxicidade.
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Implementing monolithic DC-DC converters for low power portable applications with a standard low voltage CMOS technology leads to lower production costs and higher reliability. Moreover, it allows miniaturization by the integration of two units in the same die: the power management unit that regulates the supply voltage for the second unit, a dedicated signal processor, that performs the functions required. This paper presents original techniques that limit spikes in the internal supply voltage on a monolithic DC-DC converter, extending the use of the same technology for both units. These spikes are mainly caused by fast current variations in the path connecting the external power supply to the internal pads of the converter power block. This path includes two parasitic inductances inbuilt in bond wires and in package pins. Although these parasitic inductances present relative low values when compared with the typical external inductances of DC-DC converters, their effects can not be neglected when switching high currents at high switching frequency. The associated overvoltage frequently causes destruction, reliability problems and/or control malfunction. Different spike reduction techniques are presented and compared. The proposed techniques were used in the design of the gate driver of a DC-DC converter included in a power management unit implemented in a standard 0.35 mu m CMOS technology.
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As it is widely known, in structural dynamic applications, ranging from structural coupling to model updating, the incompatibility between measured and simulated data is inevitable, due to the problem of coordinate incompleteness. Usually, the experimental data from conventional vibration testing is collected at a few translational degrees of freedom (DOF) due to applied forces, using hammer or shaker exciters, over a limited frequency range. Hence, one can only measure a portion of the receptance matrix, few columns, related to the forced DOFs, and rows, related to the measured DOFs. In contrast, by finite element modeling, one can obtain a full data set, both in terms of DOFs and identified modes. Over the years, several model reduction techniques have been proposed, as well as data expansion ones. However, the latter are significantly fewer and the demand for efficient techniques is still an issue. In this work, one proposes a technique for expanding measured frequency response functions (FRF) over the entire set of DOFs. This technique is based upon a modified Kidder's method and the principle of reciprocity, and it avoids the need for modal identification, as it uses the measured FRFs directly. In order to illustrate the performance of the proposed technique, a set of simulated experimental translational FRFs is taken as reference to estimate rotational FRFs, including those that are due to applied moments.
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Dissertação para obtenção do Grau de Doutor em Engenharia Biomédica
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Single layers of MgF2 and LaF3 were deposited upon superpolished fused-silica and CaF2 substrates by ion-beam sputtering (IBS) as well as by boat and electron beam (e-beam) evaporation and were characterized by a variety of complementary analytical techniques. Besides undergoing photometric and ellipsometric inspection, the samples were investigated at 193 and 633 nm by an optical scatter measurement facility. The structural properties were assessed with atomic-force microscopy, x-ray diffraction, TEM techniques that involved conventional thinning methods for the layers. For measurement of mechanical stress in the coatings, special silicon substrates were coated and analyzed. The dispersion behavior of both deposition materials, which was determined on the basis of various independent photometric measurements and data reduction techniques, is in good agreement with that published in the literature and with the bulk properties of the materials. The refractive indices of the MgF2 coatings ranged from 1.415 to 1.440 for the wavelength of the ArF excimer laser (193 nm) and from 1.435 to 1.465 for the wavelength of the F2 excimer laser (157 nm). For single layers of LaF3 the refractive indices extended from 1.67 to 1.70 at 193 nm to ~1.80 at 157 nm. The IBS process achieves the best homogeneity and the lowest surface roughness values (close to 1 nmrms) of the processes compared in the joint experiment. In contrast to MgF2 boat and e-beam evaporated coatings, which exhibit tensile mechanical stress ranging from 300 to 400 MPa, IBS coatings exhibit high compressive stress of as much as 910 MPa. A similar tendency was found for coating stress in LaF3 single layers. Experimental results are discussed with respect to the microstructural and compositional properties as well as to the surface topography of the coatings.
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In the past decades, transfusion medicine has been driven by the quest for increased safety against transfusion-transmitted infections, mainly by better donor selection and by the development of improved serological and nucleic-acid-based screening assays. Recently, pathogen reduction technologies became available and started to be implemented in several countries, with the primary goal to fight against bacterial contamination of blood products, a rare but dramatic event against which there was no definitive measure. Though pathogen reduction technologies represent a quantum leap in transfusion safety, the biomedical efficacy of platelet concentrates (PCs) treated with various pathogen reduction techniques has been recently questioned by clinical studies. Here, a gel-based proteomic analysis of PCs (n=5), Intercept-treated or untreated, from pooled buffy-coat (10 donors per PC) at Days 1, 2 and 8, shows that the Intercept process that is the most widespread pathogen reduction technique to date, has relatively low impact on the proteome of treated platelets: the process induces modifications of DJ-1 protein, glutaredoxin 5, and G(i)alpha 2 protein. As for the impact of storage, chloride intracellular channel protein 4 (CLIC4) and actin increased independently of Intercept treatment during storage. Whereas alteration of the DJ-1 protein and glutaredoxin 5 points out an oxidative stress-associated lesion, modification of G(i)alpha2 directly connects a possible Intercept-associated lesion to haemostatic properties of Intercept-treated platelets. This article is part of a Special Issue entitled: Integrated omics.
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We present a new framework for large-scale data clustering. The main idea is to modify functional dimensionality reduction techniques to directly optimize over discrete labels using stochastic gradient descent. Compared to methods like spectral clustering our approach solves a single optimization problem, rather than an ad-hoc two-stage optimization approach, does not require a matrix inversion, can easily encode prior knowledge in the set of implementable functions, and does not have an ?out-of-sample? problem. Experimental results on both artificial and real-world datasets show the usefulness of our approach.
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Työssä tutkittiin typen oksidien (NOx) päästöjen muodostumista ja NOx-päästöjen poistomenetelmiä leijukatalyyttisessa krakkausyksikössä (FCC). Koeajossa Porvoon öljynjalostamon FCC-yksikössä tutkittiin NOx-päästöjen hallintaa CO-promoottorin (CO:n palamista edistävä lisäaine) annostelun avulla. Kirjallisuusosassa käsiteltiin NOx-päästöjen muodostumista FCC-yksikön regeneraattorissa. Katalyyttisten lisäaineiden vaikutusta NOx-päästöjen muodostumiseen tarkasteltiin laajasti. Katalyyttisten lisäaineiden ohella käsiteltiin muitakin NOx-päästöjen poistomenetelmiä. Koeajojen tarkoituksena oli optimoida FCC-yksikön katalyyttikiertoon annosteltavan CO-promoottorin määrä. CO-promoottorin sisältämä platina lisää NOx-päästöjen muodostumista regeneraattorissa, mutta vähentää jälkipalamista. Jälkipalamisen vuoksi regeneraattorin ylimenolinjan lämpötila nousee. Regeneraattorin ylimenolinjan lämpötila oli CO-promoottorin vähentämistä rajoittava tekijä, NOx-päästöjä pyrittiin vähentämään ilman merkittävää jälkipalamisen kasvua. Tuorekatalyytin platinapitoisuuden pienentäminen vähentää merkittävästi NOx-päästöjä.
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Työn tarkoituksena oli selvittää Alstom Finland Oy:n pääasiakkaiden ympäristö-lupatilanne sekä tarkastella, miten Alstomin toimittamat hiukkastenpuhdistuslait-teet täyttävät muuttavat lainsäädännön vaatimukset. Lisäksi työssä arvioitiin lai-tosten hiukkaspäästöjen vähentämisestä syntyvää savukaasunpuhdistuslaitteiden investointitarvetta. Työn teoriaosuus sisältää katsauksen ympäristölupakäytäntöön sekä Valtioneu-voston asetuksiin, jotka koskevat laitosten hiukkaspäästöjä. Lisäksi työssä on kä-sitelty parhaan käytettävissä olevan tekniikan mukaisia hiukkaspäästörajoja ja tekniikoita sekä hiukkasten muodostumista että raskasmetallien sitoutumista hiukkasiin. Kaikkiaan työssä mukana olevia laitoksia oli 49, joista tarkemmin tarkasteltiin 12 laitosta. Suurin osa laitoksista ei ollut saanut tai hakenut ympäristönsuojelulain mukaista ympäristölupaa, joten niillä on velvollisuus hakea lupaa siirtymäsään-nöksen mukaisesti vuoden 2004 loppuun mennessä. Tarkemmassa tarkastelussa olevien laitosten hiukkaspäästömittaustuloksia vertailtiin nykyisiin sekä uu-siin/oletettuihin ympäristölupien hiukkaspäästörajoihin. Tarkastelussa mukana olevasta seitsemästä soodakattilalaitoksesta, joilla ei vielä ollut uutta ympäristölu-paa, 43 % ylitti arvioidun uuden luparajan 50 mg/m3(n):ssa ja kolmesta meesauu-nia käyttävästä laitoksesta yksi sekä viidestä muusta kattilasta kaksi.
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One of the major concerns of scoliosis patients undergoing surgical treatment is the aesthetic aspect of the surgery outcome. It would be useful to predict the postoperative appearance of the patient trunk in the course of a surgery planning process in order to take into account the expectations of the patient. In this paper, we propose to use least squares support vector regression for the prediction of the postoperative trunk 3D shape after spine surgery for adolescent idiopathic scoliosis. Five dimensionality reduction techniques used in conjunction with the support vector machine are compared. The methods are evaluated in terms of their accuracy, based on the leave-one-out cross-validation performed on a database of 141 cases. The results indicate that the 3D shape predictions using a dimensionality reduction obtained by simultaneous decomposition of the predictors and response variables have the best accuracy.
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We consider a physical model of ultrafast evolution of an initial electron distribution in a quantum wire. The electron evolution is described by a quantum-kinetic equation accounting for the interaction with phonons. A Monte Carlo approach has been developed for solving the equation. The corresponding Monte Carlo algorithm is NP-hard problem concerning the evolution time. To obtain solutions for long evolution times with small stochastic error we combine both variance reduction techniques and distributed computations. Grid technologies are implemented due to the large computational efforts imposed by the quantum character of the model.
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We present a stochastic approach for solving the quantum-kinetic equation introduced in Part I. A Monte Carlo method based on backward time evolution of the numerical trajectories is developed. The computational complexity and the stochastic error are investigated numerically. Variance reduction techniques are applied, which demonstrate a clear advantage with respect to the approaches based on symmetry transformation. Parallel implementation is realized on a GRID infrastructure.
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MCNP has stood so far as one of the main Monte Carlo radiation transport codes. Its use, as any other Monte Carlo based code, has increased as computers perform calculations faster and become more affordable along time. However, the use of Monte Carlo method to tally events in volumes which represent a small fraction of the whole system may turn to be unfeasible, if a straight analogue transport procedure (no use of variance reduction techniques) is employed and precise results are demanded. Calculations of reaction rates in activation foils placed in critical systems turn to be one of the mentioned cases. The present work takes advantage of the fixed source representation from MCNP to perform the above mentioned task in a more effective sampling way (characterizing neutron population in the vicinity of the tallying region and using it in a geometric reduced coupled simulation). An extended analysis of source dependent parameters is studied in order to understand their influence on simulation performance and on validity of results. Although discrepant results have been observed for small enveloping regions, the procedure presents itself as very efficient, giving adequate and precise results in shorter times than the standard analogue procedure. (C) 2007 Elsevier Ltd. All rights reserved.