645 resultados para TENS
L'impact du glissement en fréquence lors de l'accélération directe d'électrons par le faisceau laser
Resumo:
L’accélération directe d’électrons par des impulsions ultrabrèves de polarisation radiale fortement focalisées démontre un grand potentiel, notamment, pour la production de paquets d’électrons ultrabrefs. Plusieurs aspects de ce schéma d’accélération restent toutefois à être explorés pour en permettre une maîtrise approfondie. Dans le cadre du présent mémoire, on s’intéresse à l’ajout d’une dérive de fréquence au champ de l’impulsion TM01 utilisée. Les expressions exactes des composantes du champ électromagnétique de l’impulsion TM01 sont établies à partir d’une généralisation du spectre de Poisson. Il s’agit, à notre connaissance, du premier modèle analytique exact pour la description d’une impulsion avec une dérive de fréquence. Ce modèle est utilisé pour étudier l’impact du glissement en fréquence sur le schéma d’accélération, grâce à des simulations “particule test” unidimensionnelles, considérant en premier lieu une énergie constante par impulsion, puis un champ maximum constant. Les résultats révèlent que le glissement en fréquence diminue le gain en énergie maximum atteignable dans le cadre du schéma d’accélération à l’étude ; une baisse d’efficacité de plusieurs dizaines de pourcents peut survenir. De plus, les simulations mettent en évidence certaines différences reliées à l’utilisation d’impulsions avec une dérive vers les basses fréquences ou avec une dérive vers les hautes fréquences : il se trouve que, pour un glissement en fréquence de même grandeur, l’impulsion avec une dérive vers les basses fréquences conduit à un gain en énergie cinétique maximum plus élevé pour l’électron que l’impulsion avec une dérive vers les hautes fréquences.
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The power-law size distributions obtained experimentally for neuronal avalanches are an important evidence of criticality in the brain. This evidence is supported by the fact that a critical branching process exhibits the same exponent t~3=2. Models at criticality have been employed to mimic avalanche propagation and explain the statistics observed experimentally. However, a crucial aspect of neuronal recordings has been almost completely neglected in the models: undersampling. While in a typical multielectrode array hundreds of neurons are recorded, in the same area of neuronal tissue tens of thousands of neurons can be found. Here we investigate the consequences of undersampling in models with three different topologies (two-dimensional, small-world and random network) and three different dynamical regimes (subcritical, critical and supercritical). We found that undersampling modifies avalanche size distributions, extinguishing the power laws observed in critical systems. Distributions from subcritical systems are also modified, but the shape of the undersampled distributions is more similar to that of a fully sampled system. Undersampled supercritical systems can recover the general characteristics of the fully sampled version, provided that enough neurons are measured. Undersampling in two-dimensional and small-world networks leads to similar effects, while the random network is insensitive to sampling density due to the lack of a well-defined neighborhood. We conjecture that neuronal avalanches recorded from local field potentials avoid undersampling effects due to the nature of this signal, but the same does not hold for spike avalanches. We conclude that undersampled branching-process-like models in these topologies fail to reproduce the statistics of spike avalanches.
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Thesis (Ph.D.)--University of Washington, 2016-06
Lake LaVerne Watershed Project Progress Report: Project Number 1415-007, Final Report, June 30, 2016
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This application targets a critical need for low maintenance and inexpensive treatment solutions to encourage landowners and resource managers to enhance the water quality of small ponds and lakes. Many rural and urban small ponds and lakes across Iowa and the region have eutrophic conditions with high levels of nutrients and low levels of oxygen. Story SWCD teamed with Iowa State University (ISU) researchers propose to address this need through the construction and monitoring of a vegetated floating island (VFI) system on ISU's iconic Lake LaVerne. VFI's are hydroponically-vegetated islands that reduce nutrient loading directly from pond and lake water (rather than from soil adjacent to the pond). Urban watershed assessment on the ISU campus has already led to reductions in stormwater runoff to the lake but eutrophic conditions persist and are well documented. The VFI will function as a public art attraction for the entire 2015 growing season during which time monitoring will occur to quantify nitrogen, phosphorus and carbon changes in the lake. Tens of thousands of visitors to the ISU campus and Lake LaVerne will interact with this installation using promotional signage on site, public events and interactive social media throughout the project. Water quality and vegetation analysis will quantify nutrient uptake by the island vegetation and thus determine its effectiveness for use in other similar water bodies in Iowa.
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Thesis (Ph.D.)--University of Washington, 2016-08
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Shipping noise is a threat to marine wildlife. Grey seals are benthic foragers, and thus experience acoustic noise throughout the water column, which makes them a good model species for a case study of the potential impacts of shipping noise. We used ship track data from the Celtic Sea, seal track data and a coupled ocean-acoustic modelling system to assess the noise exposure of grey seals along their tracks. It was found that the animals experience step changes in sound levels up to ~20dB at a frequency of 125Hz, and ~10dB on average over 10-1000Hz when they dive through the thermocline, particularly during summer. Our results showed large seasonal differences in the noise level experienced by the seals. These results reveal the actual noise exposure by the animals and could help in marine spatial planning.
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A sensing device for a touchless, hand gesture, user interface based on an inexpensive passive infrared pyroelectric detector array is presented. The 2 x 2 element sensor responds to changing infrared radiation generated by hand movement over the array. The sensing range is from a few millimetres to tens of centimetres. The low power consumption (< 50 μW) enables the sensor’s use in mobile devices and in low energy applications. Detection rates of 77% have been demonstrated using a prototype system that differentiates the four main hand motion trajectories – up, down, left and right. This device allows greater non-contact control capability without an increase in size, cost or power consumption over existing on/off devices.
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The Open Journal project has completed its three year period of funding by the UK Electronic Libraries (eLib) programme (Rusbridge 1998). During that time, the number of journals that are available electronically leapt from a few tens to a few thousand. Some of these journals are now developing the sort of features the project has been advocating, in particular the use of links within journals, between different primary journals, with secondary journals data, and to non-journal sources. Assessing the achievements of the project and considering some of the difficulties it faced, we report on the different approaches to linking that the project developed, and summarise the important user responses that indicate what works and what does not. Looking ahead, there are signs of change, not just to simple linking within journals but to schemes in which links are the basis of "distributed" journals, where information may be shared and documents built from different sources. The significance has yet to be appreciated, but this would be a major change from printed journals. If projects such as this and others have provided the initial impetus, the motivation for distributed journals comes, perhaps surprisingly, from within certain parts of the industry, as the paper shows.
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Työssä selvitettiin sähkötoimisten käsiproteesien nykyteknologian taso. Selvitettäviä asioita olivat keskushermoston ja proteesin välisen hermokytkennän toteutustapa, sähkötoimisten käsiproteesien keskeiset tekniset ominaisuudet sekä käsiproteesin mekaaniset toteutustavat. Tutkimus suoritettiin kirjallisuustutkimuksena. Työhön valittiin esimerkkejä kaupallisesti saatavilla olevista käsiproteeseista jotka löytyivät internetistä hakemalla kaikkein edisty-neintä käsiproteesia. Työstä rajattiin pois proteesin suora kytkeminen keskushermostoon. Liikeinformaation välitys aivoilta proteesille onnistuu mittaamalla lihassähkökäyrä erilaisilla ihon ja lihasten päälle, ihon alle lihaksien yhteyteen tai suoraan hermojen yhteyteen asete-tuilla elektrodeilla. Lihassähkökäyrän mittaamisessa ihon pinnalta on ongelmana sähkömag-neettinen säteily, hiki, joka muuttaa ihon impedanssia ja elektrodien meneminen pois paikal-taan. Ihon alle asetettavat elektrodit kapseloituvat, mikä heikentää niiden toimintaa ja nii-den ihon läpi kulkevat johdot voivat altistaa kohdan infektioille tai takertua johonkin. Her-moihin suorassa kosketuksissa olevat elektrodit aiheuttavat lisäksi hermopinteen. Kohden-netulla uudelleenhermotuksella voidaan hermosyyt johtaa lihaksiin, jolloin lihaksista saa-daan biologiset vahvistimet lihassähkökäyrää varten tai korvaavalle ihoalueelle, johon koh-distuva kosketus tuottaa tuntemuksen käteen kohdistuvasta kosketuksesta. Käden menet-tämisen myötä menetettävät hermo-ohjaustiedot voivat osittain korvautua aivojen mukau-tuvuuden ansiosta, mikä mahdollistaa tekokäden käyttämisen oppimisen samalla tavoin kuin polkupyörällä ajon. Hermotakaisinkytkentä mahdollistaa proteesin paremman hallin-nan. On mahdollista valmistaa keinoihoa johon kohdistuva paine saa aikaan muutoksen sen sähköisissä ominaisuuksissa, mitä voidaan sitten käyttää varsinaisen hermoärsytyksen luo-van laitteen, kuten tynkää ärsyttävän täryttimen, ohjaamisessa. On mahdollista valmistaa keinolihaksia joiden avulla nivelten liike voidaan toteuttaa luonnollisen kaltaisilla rakenteilla ja jotka ovat jopa kymmeniä kertoja voimakkaampia kuin aidot lihakset. Nykyteknologian avulla on mahdollista rakentaa käsiproteesi joka liikeradoiltaan, voimal-taan ja hermotakaisinkytkennän osalta vastaa lähes täydellisesti aitoa ihmiskättä. Haasteena on vielä kokeiluasteella oleva teknologian taso sekä korkea hinta.
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Visual recognition is a fundamental research topic in computer vision. This dissertation explores datasets, features, learning, and models used for visual recognition. In order to train visual models and evaluate different recognition algorithms, this dissertation develops an approach to collect object image datasets on web pages using an analysis of text around the image and of image appearance. This method exploits established online knowledge resources (Wikipedia pages for text; Flickr and Caltech data sets for images). The resources provide rich text and object appearance information. This dissertation describes results on two datasets. The first is Berg’s collection of 10 animal categories; on this dataset, we significantly outperform previous approaches. On an additional set of 5 categories, experimental results show the effectiveness of the method. Images are represented as features for visual recognition. This dissertation introduces a text-based image feature and demonstrates that it consistently improves performance on hard object classification problems. The feature is built using an auxiliary dataset of images annotated with tags, downloaded from the Internet. Image tags are noisy. The method obtains the text features of an unannotated image from the tags of its k-nearest neighbors in this auxiliary collection. A visual classifier presented with an object viewed under novel circumstances (say, a new viewing direction) must rely on its visual examples. This text feature may not change, because the auxiliary dataset likely contains a similar picture. While the tags associated with images are noisy, they are more stable when appearance changes. The performance of this feature is tested using PASCAL VOC 2006 and 2007 datasets. This feature performs well; it consistently improves the performance of visual object classifiers, and is particularly effective when the training dataset is small. With more and more collected training data, computational cost becomes a bottleneck, especially when training sophisticated classifiers such as kernelized SVM. This dissertation proposes a fast training algorithm called Stochastic Intersection Kernel Machine (SIKMA). This proposed training method will be useful for many vision problems, as it can produce a kernel classifier that is more accurate than a linear classifier, and can be trained on tens of thousands of examples in two minutes. It processes training examples one by one in a sequence, so memory cost is no longer the bottleneck to process large scale datasets. This dissertation applies this approach to train classifiers of Flickr groups with many group training examples. The resulting Flickr group prediction scores can be used to measure image similarity between two images. Experimental results on the Corel dataset and a PASCAL VOC dataset show the learned Flickr features perform better on image matching, retrieval, and classification than conventional visual features. Visual models are usually trained to best separate positive and negative training examples. However, when recognizing a large number of object categories, there may not be enough training examples for most objects, due to the intrinsic long-tailed distribution of objects in the real world. This dissertation proposes an approach to use comparative object similarity. The key insight is that, given a set of object categories which are similar and a set of categories which are dissimilar, a good object model should respond more strongly to examples from similar categories than to examples from dissimilar categories. This dissertation develops a regularized kernel machine algorithm to use this category dependent similarity regularization. Experiments on hundreds of categories show that our method can make significant improvement for categories with few or even no positive examples.
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Grey and white carbonate mylonites were collected along thrust planes of the Helvetic Alps. They are characterised by very small grain sizes and non-random grain shape (SPO) and crystallographic preferred orientation (CPO). Presumably they deformed in the field of grain size sensitive flow by recrystallisation accommodated intracrystalline deformation in combination with granular flow. Both mylonites show a similar mean grain size, but in the grey mylonites the grain size range is larger, the grain shapes are more elongate and the dynamically recrystallised calcite grains are more often twinned. Grey mylonites have an oblique CPO, while the CPO in white mylonites is symmetric with respect to the shear plane. Combustion analysis and TEM investigations revealed that grey mylonites contain a higher amount of highly structured kerogens with particle sizes of a few tens of nanometers, which are finely dispersed at the grain boundaries. During deformation of the rock, nano-scale particles reduced the migration velocity of grain boundaries by Zener drag resulting in slower recrystallisation rates of the calcite aggregate. In the grey mylonites, more strain increments were accommodated by individual grains before they became refreshed by dynamic recrystallisation than in white mylonites, where grain boundary migration was less hindered and recrystallisation cycles were faster. Consequently, grey mylonites represent ‘deformation’ microfabrics while white mylonites are characterised by ‘recrystallisation’ microfabrics. Field geologists must utilise this different deformation behavior when applying the obliquity in CPO and SPO of the respective mylonites as reliable shear sense indicators.
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The power-law size distributions obtained experimentally for neuronal avalanches are an important evidence of criticality in the brain. This evidence is supported by the fact that a critical branching process exhibits the same exponent t~3=2. Models at criticality have been employed to mimic avalanche propagation and explain the statistics observed experimentally. However, a crucial aspect of neuronal recordings has been almost completely neglected in the models: undersampling. While in a typical multielectrode array hundreds of neurons are recorded, in the same area of neuronal tissue tens of thousands of neurons can be found. Here we investigate the consequences of undersampling in models with three different topologies (two-dimensional, small-world and random network) and three different dynamical regimes (subcritical, critical and supercritical). We found that undersampling modifies avalanche size distributions, extinguishing the power laws observed in critical systems. Distributions from subcritical systems are also modified, but the shape of the undersampled distributions is more similar to that of a fully sampled system. Undersampled supercritical systems can recover the general characteristics of the fully sampled version, provided that enough neurons are measured. Undersampling in two-dimensional and small-world networks leads to similar effects, while the random network is insensitive to sampling density due to the lack of a well-defined neighborhood. We conjecture that neuronal avalanches recorded from local field potentials avoid undersampling effects due to the nature of this signal, but the same does not hold for spike avalanches. We conclude that undersampled branching-process-like models in these topologies fail to reproduce the statistics of spike avalanches.
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The development of accurate modeling techniques for nanoscale thermal transport is an active area of research. Modern day nanoscale devices have length scales of tens of nanometers and are prone to overheating, which reduces device performance and lifetime. Therefore, accurate temperature profiles are needed to predict the reliability of nanoscale devices. The majority of models that appear in the literature obtain temperature profiles through the solution of the Boltzmann transport equation (BTE). These models often make simplifying assumptions about the nature of the quantized energy carriers (phonons). Additionally, most previous work has focused on simulation of planar two dimensional structures. This thesis presents a method which captures the full anisotropy of the Brillouin zone within a three dimensional solution to the BTE. The anisotropy of the Brillouin zone is captured by solving the BTE for all vibrational modes allowed by the Born Von-Karman boundary conditions.
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Vertebrate genomes are organised into a variety of nuclear environments and chromatin states that have profound effects on the regulation of gene transcription. This variation presents a major challenge to the expression of transgenes for experimental research, genetic therapies and the production of biopharmaceuticals. The majority of transgenes succumb to transcriptional silencing by their chromosomal environment when they are randomly integrated into the genome, a phenomenon known as chromosomal position effect (CPE). It is not always feasible to target transgene integration to transcriptionally permissive “safe harbour” loci that favour transgene expression, so there remains an unmet need to identify gene regulatory elements that can be added to transgenes which protect them against CPE. Dominant regulatory elements (DREs) with chromatin barrier (or boundary) activity have been shown to protect transgenes from CPE. The HS4 element from the chicken beta-globin locus and the A2UCOE element from a human housekeeping gene locus have been shown to function as DRE barriers in a wide variety of cell types and species. Despite rapid advances in the profiling of transcription factor binding, chromatin states and chromosomal looping interactions, progress towards functionally validating the many candidate barrier elements in vertebrates has been very slow. This is largely due to the lack of a tractable and efficient assay for chromatin barrier activity. In this study, I have developed the RGBarrier assay system to test the chromatin barrier activity of candidate DREs at pre-defined isogenic loci in human cells. The RGBarrier assay consists in a Flp-based RMCE reaction for the integration of an expression construct, carrying candidate DREs, in a pre-characterised chromosomal location. The RGBarrier system involves the tracking of red, green and blue fluorescent proteins by flow cytometry to monitor on-target versus off-target integration and transgene expression. The analysis of the reporter (GFP) expression for several weeks gives a measure of the protective ability of each candidate elements from chromosomal silencing. This assay can be scaled up to test tens of new putative barrier elements in the same chromosomal context in parallel. The defined chromosomal contexts of the RGBarrier assays will allow for detailed mechanistic studies of chromosomal silencing and DRE barrier element action. Understanding these mechanisms will be of paramount importance for the design of specific solutions for overcoming chromosomal silencing in specific transgenic applications.
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Lorsque les aléas naturels se déroulent en catastrophes, les réponses des religieux, de l’Etat, et d’autres acteurs puissants dans une société révèlent à la fois les relations complexes entre ces parties et leur pouvoir dans la production des espaces auxquelles les survivants accèdent. La réponse en cas de catastrophe comprend la création d’espaces post-catastrophes, tels que des centres d’évacuation, des logements de transition et des sites de réinstallation permanente, qui ciblent spécifiquement un sous-ensemble particulier de survivants, et visent à les aider à survivre, à faire face, et à se remettre de la catastrophe. Les acteurs puissants dans une société dirigent les processus de secours, de récupération et de reconstruction sont des acteurs puissants qui cherchent à problématiser et à rendre un problème technique dans des termes qu’ils sont idéalement placés pour aborder à travers une variété d'interventions. Ce projet de recherche vise à répondre à la question: où les survivants d'une catastrophe reconstruisent-ils leurs vies et leurs moyens de subsistance? Il enquête sur un cas spécifique de la migration environnementale dans laquelle des dizaines de milliers d'habitants ont été déplacés de façon permanente et temporaire de leurs résidences habituelles après le typhon Sendong à Cagayan de Oro, Philippines en 2011. La recherche est basée sur des entretiens avec les acteurs puissants et les survivants, des vidéos participatives réalisées par des survivants pauvres urbains, et des activités de cartographie. L’étude se fonde sur la théorie féministe, les études de migration, les études dans la gouvernementalité, la recherche sur les changements de l’environnement planétaire, et les études régionales afin de situer les diverses expériences de la migration dans un contexte géographique et historique. Cette thèse propose une topographie critique dans laquelle les processus et les pratiques de production d’espaces post-catastrophe sont exposés. Parce que l’espace est nécessairement malléable, fluide, et relationnelle en raison de l'évolution constante des activités, des conflits, et des expériences qui se déroulent dans le paysage, une analyse de l'espace doit être formulée en termes de relations sociales qui se produisent dans et au-delà de ses frontières poreuses. En conséquence, cette étude explore comment les relations sociales entre les survivants et les acteurs puissants sont liées à l’exclusion, la gouvernementalité, la mobilité, et la production des espaces, des lieux et des territoires. Il constate que, si les trajectoires de migration de la plupart des survivants ont été confinés à l'intérieur des limites de la ville, les expériences de ces survivants et leur utilisation des espaces urbains sont très différentes. Ces différences peuvent être expliquées par des structures politiques, économiques, et sociales, et par les différences religieuses, économiques, et de genre. En outre, il fait valoir que les espaces post-catastrophe doivent être considérés comme des «espaces d’exclusion» où les fiduciaires exercent une rationalité gouvernementale. C’est-à-dire, les espaces post-catastrophe prétendument inclusives servent à marginaliser davantage les populations vulnérables. Ces espaces offrent aussi des occasions pour les acteurs puissants dans la société philippine d'effectuer des interventions gouvernementales dans lesquelles certaines personnes et les paysages sont simplifiées, rendues lisibles, et améliorés.