Academic literature on the topic 'MRST'

This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2019<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 49-50).<br>Abstract The National Ignition Facility (NIF) is one of the premier inertial confinement fusion (ICF) experiments active today, with the goal of acheiving ignition in a laboratory for the first time. Multiple diagnostics are needed to generate the scientific data necessary for guiding these experiments at the NIF toward this goal. The time-resolving Magnetic Recoil Spectrometer (MRSt) aims to provide time-resolved measurements of the neutron spectrum, to determine time evolution of ion temperature, areal density, and neutron yield, at a time resolution of 20ps and an energy resolution of 100 keV. This would be the first time-resolved measurement of these quantities, and is crucial to understanding the dynamics of the implosion and possible deviations from optimal performance. The MRSt's unique ability to diagnose the hot-spot formation, fuel assembly, and alpha heating will open a new door to ICF. This work establishes a conceptual shielding design for the MRSt that meets the signal-to-background requirements. The finalized design is composed of 65cm of 30% borated polyethylene shielding for the neutron background, and a 2.5cm layer of tungsten gamma shielding with a 5.5cm layer of shielding on the last 20cm of the pulse dilation drift tube (PDDT) detector. This design reduces the background about 300 times, from 0.12 for the unshielded design to 35 for the finalized shielding design, thus exceeding the requirement of S/B > 5 for the down-scattered-neutron measurement. Neutron background has been reduced nearly to zero, but further gamma reduction could be a future avenue of research, specifically surrounding the graded-Z shielding design.<br>by Alexander Jerome Sandberg.<br>S.M.<br>S.M. Massachusetts Institute of Technology, Department of Nuclear Science and Engineering

Submitted by Pedro Barros (pedro.silvabarros@ufpe.br) on 2018-09-04T21:17:21Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO Roberto Navarro Pareja.pdf: 3454842 bytes, checksum: add35a3c61e16d12a7de8eec98d2b411 (MD5)<br>Approved for entry into archive by Alice Araujo (alice.caraujo@ufpe.br) on 2018-09-17T22:46:50Z (GMT) No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO Roberto Navarro Pareja.pdf: 3454842 bytes, checksum: add35a3c61e16d12a7de8eec98d2b411 (MD5)<br>Made available in DSpace on 2018-09-17T22:46:50Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO Roberto Navarro Pareja.pdf: 3454842 bytes, checksum: add35a3c61e16d12a7de8eec98d2b411 (MD5) Previous issue date: 2014-08-26<br>CAPES<br>A simulação de reservatórios é uma importante ferramenta usada pela indústria do petróleo para o gerenciamento de reservatórios. A fim de obter previsões da produção de óleo confiáveis, diferentes propriedades petrofísicas do reservatório, como porosidade e permeabilidade são usadas nos modelos de reservatórios. Porém, medições diretas dessas propriedades são possíveis apenas em alguns poucos poços. Uma forma de melhorar o conhecimento sobre essas propriedades é através do processo de ajuste ao histórico. O ajuste ao histórico consiste em melhorar estimativas de propriedades do reservatório usadas na construção de um modelo de reservatório de forma que as previsões do modelo se aproximem dos dados medidos em campo. Nesta dissertação apresentamos um estudo para o ajuste ao histórico automático baseado em um modelo areal, isto é, que considera o reservatório plano e horizontal, descrito por apenas duas dimensões geométricas, de um reservatório bifásico (óleo/água), onde desejamos estimar a distribuição de permeabilidades do reservatório. Devido à sua simplicidade e eficiência, o método do Filtro de Kalman com Ensembles (EnKF), é usado para assimilar as medições estáticas e dinâmicas, atualizando continuamente as propriedades do reservatório. O EnKF nos últimos anos tem ganhado muita popularidade, é um método de assimilação de dados para modelos dinâmicos não lineares de alta dimensão e portanto adequado para ser usado no ajuste ao histórico de modelos de simulação de reservatórios. O EnKF foi implementado em Matlab e acoplado ao Matlab Reservoir Simulation Toolbox (MRST), que foi desenvolvido pelo SINTEF para simulação de reservatórios, e foi aplicado a dois casos sintéticos simples. Os resultados mostraram que a rotina EnKF funcionou corretamente, mostrando-se que, para muitos dos parâmetros com incerteza inicial, esta foi reduzida a um nível aceitável, para a produção de petróleo e água.<br>Reservoir simulation is an important tool used by the oil industry for reservoir management. In order to obtain reliable predictions of oil production, different petrophysical properties such as porosity and permeability are used to build the reservoir models. However, direct measurements of these properties are only possible in a few wells. One way to improve the knowledge of these properties is through the history matching process. History matching improves the estimates of reservoir properties used in the construction of the reservoir model so that the model predictions are closer to the measured production of the field. In this paper we present a study for an automatic history matching based upon and two-dimensional model of two-phase (oil/water) reservoir, where we wish to improve the estimate of the distribution of the reservoir permeabilities. Due to its simplicity and efficiency, the method of the Ensemble Kalman Filter (EnKF) is used to assimilate the static and dynamic measurements, continuously updating the properties of the reservoir. The EnKF, in recent years has gained much popularity, as it is a method for dynamic data assimilation for nonlinear models of high dimension and therefore suitable for use in history matching models of reservoir simulations. The EnKF was implemented in Matlab and coupled to Matlab Reservoir Simulation Toolbox (MRST), which was developed by SINTEF for reservoir simulation, and was applied to two simple synthetic cases. The results showed that the EnKF routine works properly, showing that, for many of the parameters and initial uncertainty has been reduced to an acceptable level for the production of oil and water.

El cáncer es una de las principales causas de muerte en el mundo. Los tumores cerebrales tienen una incidencia relativamente baja en comparación con otras patologías cancerígenas más generalizadas, pero la prognosis de algunos es muy pobre, contribuyendo significativamente a su morbilidad. La gestión clínica de una masa anormal en el cerebro es materia delicada y difícil, por lo que los expertos han de basarse en mediciones indirectas no invasivas de las características del tumor y de su crecimiento. En la práctica radiológica actual, estas mediciones se realizan a menudo mediante técnicas de resonancia magnética (MR), como la imagen (MRI) y la espectroscopia (MRS). La vasta información contenida en las señales de MR les hace ideales para la aplicación de técnicas de reconocimiento de patrones (PR). Durante las dos últimas décadas, estas técnicas se han aplicado con éxito al problema de la extracción de conocimiento a partir de datos de tumores cerebrales humanos, para su diagnóstico y pronóstico. No obstante, la discriminación de algunos tipos y subtipos de tumores, así como la delimitación precisa del área tumoral, continúan siendo un reto para los investigadores. En esta tesis, abordamos tales retos mediante la aplicación de un conjunto de técnicas avanzadas de PR. En primera instancia, se implementaron una variedad de técnicas comunes y bien conocidas en una herramienta integrada de software. Esta fue utilizada en tareas de reducción de dimensionalidad (DR), clasificación y evaluación de modelos, para el desarrollo de clasificadores apropiados para analizar datos de MRS. Posteriormente, se profundizó en el desarrollo de métodos de extracción de características (FE), para proponer un método que proporciona prototipos de señal interpretables a partir de los datos de MRS. En una siguiente fase, dos técnicas de descomposición espectral fueron utilizadas para extraer fuentes de MRS e identificar la que proporciona mejores resultados en el contexto de problemas de neuro-oncología, utilizando datos de MRS de un solo vóxel (SV). El mejor y más adecuado método de extracción de fuentes resultante se utilizó posteriormente para derivar fuentes correlacionadas con los espectros promedio de los tipos de tejidos estudiados. El primer enfoque se aplicó también en el contexto de datos de múltiples vóxeles (MV), donde se propone un mecanismo para delimitar la zona patológica del tumor. Las contribuciones se pueden resumir de la siguiente manera. En primer lugar, el desarrollo de una herramienta de software que ha permitido reproducir clasificadores previamente publicados, así como probar nuevas hipótesis. También se ha contribuido con un método de FE, cuyo rendimiento es comparable a su contraparte más comúnmente utilizada en el análisis de datos de MRS, al tiempo que mejora su interpretación. Por otra parte, hemos identificado la variante de descomposición espectral que mejor se adapta al análisis de datos de SV MRS, llamada Convex Non-negative Matrix Factorisation (NMF), mostrando su capacidad para discriminar entre tejido sano, necrosis y tumor en proliferación activa, con resultados que son comparables a los obtenidos en modo supervisado. Con los datos de MV, los resultados obtenidos evidencian que es posible conseguir una delimitación precisa de la zona patológica mediante la aplicación de Convex-NMF. Con esta tesis, ofrecemos una herramienta a radiólogos espectroscopistas para facilitar el desarrollo de clasificadores para el análisis de datos de MRS, en un amplio grupo de tipos tumorales. También ofrecemos una alternativa no supervisada para mejorar la discriminación entre tipos y subtipos tumorales, colocando este enfoque un paso por delante de los métodos supervisados clásicos. Esto nos ha permitido hacer frente a una de las principales fuentes de incertidumbre en el manejo clínico de tumores cerebrales: la dificultad de delimitar adecuadamente el área patológica.<br>Cancer is a leading cause of death worldwide. Tumours of the Central Nervous System and, among them, brain tumours have a relatively low incidence as compared to other more widespread cancer pathologies, but the prognosis of some of them is very poor, contributing significantly to morbidity. The clinical management of an abnormal mass in the brain is sensitive and difficult, making experts to rely on non-invasive indirect measurements of the tumour characteristics and growth. In current radiological practice, these data measurements are often provided by magnetic resonance (MR) techniques, such as imaging (MRI) and spectroscopy (MRS). The rich information contained in MR signals makes them ideally suited to the application of pattern recognition (PR) techniques. Over the last two decades, these techniques have been successfully used to address the problem of knowledge extraction from human brain tumour data, for their diagnosis and prognosis. Nevertheless, the discrimination of some tumour types and subtypes, along with the accurate delimitation of the tumour area, remained challenging. In this thesis, we approach these challenges using a set of advanced PR techniques. A variety of common and well-known dimensionality reduction (DR), classification, and evaluation methods are first gathered in a software tool, used for the development of classifiers that are suitable for the analysis of MRS data. We then delve into the feature extraction (FE) family of DR methods to propose a method that is robust in the presence of noise, not prone to overfitting, and which also provides interpretation of the extracted MRS signal prototypes. Two spectral decomposition techniques, in different algorithmic variants, are subsequently used to extract the sources of the MRS signals and identify the one that provides better results in the context of neuro-oncology, using single-voxel (SV) MRS data. The best and most adequate source extraction method is then used to derive sources correlated with the mean spectra of known tissue types. The former, an unsupervised approach, is also applied in this thesis in the multi-voxel (MV) context, where we propose a mechanism for delimiting the pathological area of the tumour. The contributions of this thesis can be summarised as follows. First, the development of a software tool allowed us to reproduce previously published MRS-based classifiers, and test new hypotheses that led to new publications. We also contributed a FE method, whose performance is comparable to its most commonly used counterpart in MRS data analysis, while improving on the interpretability. Moreover, we identified the spectral decomposition variant that best suits the analysis of SV MRS data, namely Convex Non-negative Matrix Factorisation (NMF), and showed its ability to discriminate between healthy tissue, necrosis, and actively proliferating tumour, with results that are comparable to those obtained in fully supervised mode. For MV data, we successfully benchmarked alternative spectral decomposition methods, and provided evidence supporting that very accurate delimitation can be achieved through the application of Convex-NMF. With this thesis, we provide spectroscopists with a tool that facilitates the development of classifiers for the analysis of MRS data, for a large group of tumour types; allowing them to concentrate on the interpretation of the results, without requiring a specialised mathematical expertise for testing their hypotheses. We also provide an unsupervised alternative to improve the discrimination between tumour types and subtypes, placing this approach one step ahead of classical label-requiring supervised methods for detection of the increasingly recognised molecular subtype heterogeneity within human brain tumours. This also allowed us to accurately tackle one of the main sources of uncertainty in the clinical management of brain tumours, which is the difficulty of appropriately delimiting the pathological area.

Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-07-22T13:39:31Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Mestrado fase final defendido 3 versão digital.pdf: 1373305 bytes, checksum: 2ed41bad53b29893bffe574008593b64 (MD5)<br>Made available in DSpace on 2016-07-22T13:39:31Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Mestrado fase final defendido 3 versão digital.pdf: 1373305 bytes, checksum: 2ed41bad53b29893bffe574008593b64 (MD5) Previous issue date: 2016-02-29<br>CAPEs<br>Staphylococcus aureus é um dos microrganismos mais comuns em infecções patogênicas no mundo, tornando-se de grande importância hospitalar e comunitária. Pessoas vivendo com HIV/aids (PVHA) são mais susceptíveis de serem colonizados por Staphylococcus aureus resistente á meticilina (MRSA). S. aureus pode adquirir resistência a antimicrobianos, devido à presença de genes de vários tipos contidos no cassete cromossômico estafilocócico - mec (SCCmec) conferindo resistência a diversos antibióticos. A investigação da colonização por MRSA foi realizada através do isolamento de amostras oriundas de secreção nasal e posteriormente screening de oxacilina combinado a reação de PCR convencional para investigação do gene mecA. Foram entrevistados no estudo 500 PVHA ambulatoriais do hospital terciário. Aproximadamente 95% fazia uso de terapia antirretroviral, sendo que 89,3% destes apresentavam contagem de células CD4 >200 e 73,4% com carga viral ≤100 cópias. A maioria foi do sexo masculino (64,4%), com média etária de 41,5 anos e se declararam de cor parda (54,7%). Exposição a antimicrobianos nos últimos 12 meses foi encontrado em 27,4% dos indivíduos e 25,1% relataram uso de drogas ilícitas ao menos uma vez na vida. Colonização nasal por S. aureus foi encontrada em 31,4% (157/500) da totalidade dos indivíduos estudados, nos quais, 14% (22/157) foram MRSA. A colonização foi maior nos indivíduos acima de 40 anos, entre os que relataram uso de drogas ilícitas ao menos uma vez na vida, nos que não havia registro de exposição prévia a antimicrobianos nos últimos 12 meses, porém, não foi encontrada nenhuma associação de MRSA com as variáveis estudadas. A colonização de MRSA, embora alta, não foi associado com as variáveis estudadas para fator de risco em PVHA. O perfil antimicrobiano mostra alta resistência aos antibióticos mais utilizados para profilaxia e tratamento por infecções bacterianas. Esse estudo pode contribuir para orientar na vigilância e conduta terapêutica entre as PVHA.<br>Staphylococcus aureus is one of the most common pathogenic microorganisms in infections in the world, making it of great importance hospital and community. People living with HIV/aids (PVHA) are more likely to be colonized with Staphylococcus aureus resistant to methicillin (MRSA). S. aureus may acquire resistance to antibiotics due to the presence of various types of genes contained in the chromosomal staphylococcal cassette - mec (SCCmec) conferring resistance to various antibiotics. The investigation of MRSA colonization was carried out by isolating samples from nasal discharge and subsequently screening oxacillin combined with conventional PCR to investigate the mecA gene. They were interviewed in the study 500 outpatient PVHA tertiary hospital. Approximately 95% made use of antiretroviral therapy, and 89.3% of them had CD4 cell counts> 200 and 73.4% with viral load ≤100 copies. Most were male (64.4%) with a mean age of 41.5 years and declared mulatto (54.7%). antimicrobial exposure in the last 12 months was found in 27.4% of patients and 25.1% reported using illicit drugs at least once in life. nasal colonization by S. aureus was found in 31.4% (157/500) of all subjects studied, in which, 14% (22/157) were MRSA. The colonization was higher in individuals over 40 years among those who reported using illicit drugs at least once in life, in which there was no antimicrobial previous exposure record in the last 12 months, however, it found no MRSA association with the variables studied. Colonization of MRSA, although high, was not associated with the variables for risk factor for PVHA. The antimicrobial profile shows high resistance to antibiotics most commonly used for treatment and prevention of bacterial infections. This study may help guide surveillance and therapeutic management among PVHA.

Bakgrund: MRSA, metcillinresistenta staphyloococcus aureus, ökar idag i Sverige och i hela världen och bidrar till längre vårdtider, kostsamma behandlingar och mycket lidande för de drabbade patienterna och deras anhöriga. Syfte: Studien syftar till att undersöka hur patienter med MRSA upplever sin livssituation.Metod: Litteraturstudie  baserad på tio kvalitativa vetenskapliga artiklar.Resultat: Resultatet presenteras i tre teman benämnda ”Att vårdas”, ”Upplevelse av social förändring” och ”Att vara smittad med MRSA” med tillhörande subteman. Patienterna beskriver att bristfällig eller utebliven information om MRSA, dess symtom och effekter var ett problem. De beskriver också rädsla för att smitta sina närstående och vänner. Många av de patienter som fått MRSA känner sig orena och smutsiga, som de fått spetälska eller pesten och de känner skam och skuld över att ha fått MRSA. Diskussion: Ett stort problem var diskrepansen i vårdpersonalens kunskaper om MRSA och deras handhavande av patienter som var smittade med MRSA. Många patienter blev oprofessionellt bemötta och fick felaktig och inadekvat information, vilket ledde till mycket oro och psykisk lidande. Att inte få information eller få felaktig information i vid sjukdom kan få stora konsekvenser för patientens livssituation.<br>Background: MRSA metcillinresistenta staphyloococcus aureus is increasing both in Sweden and worldwide and contributes to longer time in the hospital, expensive treatments and suffering for the affected patients and their relatives. Aim: The aim of the study is to examine how patients with MRSA experience their life situation. Method: Literature study based on ten qualitative articles. Result: The results are presented in three themes, the "Caring", "Experience of Social Change" and "Being infected with MRSA" and related subthemes. Patients describe that inadequate or lack of information regarding MRSA, its symptoms and effects were a problem. They also describe the fear of infecting family and friends. Several of the patients with MRSA feel unclean and dirty, as they had leprosy or the plague, and they feel shame and guilt about being diagnosed with MRSA. Discussion: A major problem was the discrepancy in health professionals' knowledge of MRSA and their management of patients who were infected with MRSA. Several patients were treated unprofessionally and were given an inaccurate and inadequate information about their illness which contributed to anxiety and suffering. If patients do not receive information or receive incorrect information in the event of an illness, this can have major consequences for the patients´ life situation.