Optomechanical Inertial Sensors and Feedback Cooling

The optomechanical interaction is an extremely powerful tool with which to measure mechanical motion. The displacement resolution of chip-scale optomechanical systems has been measured on the order of 1⁄10th of a proton radius. So strong is this optomechanical interaction that it has recently been used to remove almost all thermal noise from a mechanical resonator and observe its quantum ground-state of motion starting from cryogenic temperatures.

In this work, chapter 1 describes the basic physics of the canonical optomechanical system, optical measurement techniques, and how the optomechanical interaction affects the coupled mechanical resonator. In chapter 2, we describe our techniques for realizing this canonical optomechanical system in a chip-scale form factor.

In chapter 3, we describe an experiment where we used radiation pressure feedback to cool a mesoscopic mechanical resonator near its quantum ground-state from room-temperature. We cooled the resonator from a room temperature phonon occupation of <n> = 6.5 million to an occupation of <n> = 66, which means the resonator is in its ground state approximately 2% of the time, while being coupled to a room-temperature thermal environment. At the time of this work, this is the closest a mesoscopic mechanical resonator has been to its ground-state of motion at room temperature, and this work begins to open the door to room-temperature quantum control of mechanical objects.

Chapter 4 begins with the realization that the displacement resolutions achieved by optomechanical systems can surpass those of conventional MEMS sensors by an order of magnitude or more. This provides the motivation to develop and calibrate an optomechanical accelerometer with a resolution of approximately 10 micro-g/rt-Hz over a bandwidth of approximately 30 kHz. In chapter 5, we improve upon the performance and practicality of this sensor by greatly increasing the test mass size, investigating and reducing low-frequency noise, and incorporating more robust optical coupling techniques and capacitive wavelength tuning. Finally, in chapter 6 we present our progress towards developing another optomechanical inertial sensor - a gyroscope.

A eloquência do mundo: a heteronímia como potência retórica impessoal

A partir da suspeita de que o pensamento e sua expressão não se limitam a uma única forma, o presente trabalho investiga de que modo podemos pensar, a partir de Fernando Pessoa, uma relação possível entre filosofia e literatura. Quais os pressupostos que permitem considerar o fenômeno heteronímico pessoano como um expediente trágico que diz respeito ao próprio pensamento, ou ainda, como entrever, no projeto pessoano, o lugar de embate trágico, por excelência entre aquilo que somos, enquanto sujeitos, e os processos que franqueiam à escrita a constituição de uma subjetividade outra? Desdobrada em heterônimos, a obra de Pessoa comportaria em si a justaposição de formas diversas de ver e compreender o mundo, mas o processo pelo qual este desdobramento se dá poderia ser tomado como anterior às formas constituídas das personalidades particulares, apresentando-se como uma disposição anti-dialética do pensamento. Privilegiando como ponto de partida os escritos do heterônimo louco e filósofo de Fernando Pessoa, António Mora, nosso intuito é analisar de que modo sua crítica à tradição metafísica ocidental, em ressonância com a filosofia francesa contemporânea de inspiração nietzschiana, pode se constituir como um intercessor capaz de dar a ver uma potência impessoal atuando entre a filosofia e a literatura, representada pelo verso de Alberto Caeiro: a natureza é partes sem um todo"

Advanced Monte Carlo Simulation and Machine Learning for Frequency Domain Optical Coherence Tomography

Optical Coherence Tomography(OCT) is a popular, rapidly growing imaging technique with an increasing number of bio-medical applications due to its noninvasive nature. However, there are three major challenges in understanding and improving an OCT system: (1) Obtaining an OCT image is not easy. It either takes a real medical experiment or requires days of computer simulation. Without much data, it is difficult to study the physical processes underlying OCT imaging of different objects simply because there aren't many imaged objects. (2) Interpretation of an OCT image is also hard. This challenge is more profound than it appears. For instance, it would require a trained expert to tell from an OCT image of human skin whether there is a lesion or not. This is expensive in its own right, but even the expert cannot be sure about the exact size of the lesion or the width of the various skin layers. The take-away message is that analyzing an OCT image even from a high level would usually require a trained expert, and pixel-level interpretation is simply unrealistic. The reason is simple: we have OCT images but not their underlying ground-truth structure, so there is nothing to learn from. (3) The imaging depth of OCT is very limited (millimeter or sub-millimeter on human tissues). While OCT utilizes infrared light for illumination to stay noninvasive, the downside of this is that photons at such long wavelengths can only penetrate a limited depth into the tissue before getting back-scattered. To image a particular region of a tissue, photons first need to reach that region. As a result, OCT signals from deeper regions of the tissue are both weak (since few photons reached there) and distorted (due to multiple scatterings of the contributing photons). This fact alone makes OCT images very hard to interpret.

This thesis addresses the above challenges by successfully developing an advanced Monte Carlo simulation platform which is 10000 times faster than the state-of-the-art simulator in the literature, bringing down the simulation time from 360 hours to a single minute. This powerful simulation tool not only enables us to efficiently generate as many OCT images of objects with arbitrary structure and shape as we want on a common desktop computer, but it also provides us the underlying ground-truth of the simulated images at the same time because we dictate them at the beginning of the simulation. This is one of the key contributions of this thesis. What allows us to build such a powerful simulation tool includes a thorough understanding of the signal formation process, clever implementation of the importance sampling/photon splitting procedure, efficient use of a voxel-based mesh system in determining photon-mesh interception, and a parallel computation of different A-scans that consist a full OCT image, among other programming and mathematical tricks, which will be explained in detail later in the thesis.

Next we aim at the inverse problem: given an OCT image, predict/reconstruct its ground-truth structure on a pixel level. By solving this problem we would be able to interpret an OCT image completely and precisely without the help from a trained expert. It turns out that we can do much better. For simple structures we are able to reconstruct the ground-truth of an OCT image more than 98% correctly, and for more complicated structures (e.g., a multi-layered brain structure) we are looking at 93%. We achieved this through extensive uses of Machine Learning. The success of the Monte Carlo simulation already puts us in a great position by providing us with a great deal of data (effectively unlimited), in the form of (image, truth) pairs. Through a transformation of the high-dimensional response variable, we convert the learning task into a multi-output multi-class classification problem and a multi-output regression problem. We then build a hierarchy architecture of machine learning models (committee of experts) and train different parts of the architecture with specifically designed data sets. In prediction, an unseen OCT image first goes through a classification model to determine its structure (e.g., the number and the types of layers present in the image); then the image is handed to a regression model that is trained specifically for that particular structure to predict the length of the different layers and by doing so reconstruct the ground-truth of the image. We also demonstrate that ideas from Deep Learning can be useful to further improve the performance.

It is worth pointing out that solving the inverse problem automatically improves the imaging depth, since previously the lower half of an OCT image (i.e., greater depth) can be hardly seen but now becomes fully resolved. Interestingly, although OCT signals consisting the lower half of the image are weak, messy, and uninterpretable to human eyes, they still carry enough information which when fed into a well-trained machine learning model spits out precisely the true structure of the object being imaged. This is just another case where Artificial Intelligence (AI) outperforms human. To the best knowledge of the author, this thesis is not only a success but also the first attempt to reconstruct an OCT image at a pixel level. To even give a try on this kind of task, it would require fully annotated OCT images and a lot of them (hundreds or even thousands). This is clearly impossible without a powerful simulation tool like the one developed in this thesis.

Impact of polarized illumination on high NA imaging in ArF immersion lithography at 45 nm node

Immersion lithography has been considered as the mainstream technology to extend the feasibility of optical lithography to further technology nodes. Using proper polarized illumination in an immersion lithographic tool is a powerful means to enhance the image quality and process capability for high numerical aperture (NA) imaging. In this paper, the impact of polarized illumination on high NA imaging in ArF immersion lithography for 45 nm dense lines and semi-dense lines is studied by PROLITH simulation. The normalized image log slope (NILS) and exposure defocus (ED) window are simulated under various polarized illumination modes, and the impact of polarized illumination on image quality and process latitude is analyzed. (C) 2007 Elsevier GmbH. All rights reserved.

Metallothionein as an indicator of water quality: assessment of the bioavailability of cadmium, copper, mercury and zinc in aquatic animals at the cellular level

The study of metallothioneins (MTs) has greatly improved our understanding of body burdens, metal storage and detoxification in aquatic organisms subjected to contamination by the toxic heavy metals, Cd, Cu, Hg and Zn. These studies have shown that in certain organisms MT status can be used to assess impact of these metals at the cellular level and, whilst validation is currently limited to a few examples, this stress response may be linked to higher levels of organisation, thus indicating its potential for environmental quality assessment. Molluscs, such as Mytilus spp., and several commonly occurring teleost species, are the most promising of the indicator species tested. Natural variability of MT levels caused by the organism's size, condition, age, position in the sexual cycle, temperature and various stressors, can lead to difficulties in interpretation of field data as a definitive response-indicator of metal contamination unless a critical appraisal of these variables is available. From laboratory and field studies these data are almost complete for teleost fish. Whilst for molluscs much of this information is lacking, when suitable controls are utilised and MT measurements are combined with observations of metal partitioning, current studies indicate that they are nevertheless a powerful tool in the interpretation of impact, and may prove useful in water quality assessment.

The impact of molecular biology on assessment of water quality: advantages and limitations of current techniques

The advent of molecular biology has had a dramatic impact on all aspects of biology, not least applied microbial ecology. Microbiological testing of water has traditionally depended largely on culture techniques. Growing understanding that only a small proportion of microbial species are culturable, and that many microorganisms may attain a viable but non-culturable state, has promoted the development of novel approaches to monitoring pathogens in the environment. This has been paralleled by an increased awareness of the surprising genetic diversity of natural microbial populations. By targeting gene sequences that are specific for particular microorganisms, for example genes that encode diagnostic enzymes, or species-specific domains of conserved genes such as 16S ribosomal RNA coding sequences (rrn genes), the problems of culture can be avoided. Technical developments, notably in the area of in vitro amplification of DNA using the polymerase chain reaction (PCR), now permit routine detection and identification of specific microorganisms, even when present in very low numbers. Although the techniques of molecular biology have provided some very powerful tools for environmental microbiology, it should not be forgotten that these have their own drawbacks and biases in sampling. For example, molecular techniques are dependent on efficient lysis and recovery of nucleic acids from both vegetative forms and spores of microbial species that may differ radically when growing in the laboratory compared with the natural environment. Furthermore, PCR amplification can introduce its own bias depending on the nature of the oligonucleotide primers utilised. However, despite these potential caveats, it seems likely that a molecular biological approach, particularly with its potential for automation, will provide the mainstay of diagnostic technology for the foreseeable future.

Recent progress in the identification and determination of freshwater phytoplankton in the natural environment

The biomass of the phytoplankton and its composition is one of the most important factors in water quality control. Determination of the phytoplankton assemblage is usually done by microscopic analysis (Utermöhl's method). Quantitative estimations of the biovolume, by cell counting and cell size measurements, are time-consuming and normally are not done in routine water quality control. Several alternatives have been tried: computer-based image analysis, spectral fluorescence signatures, flow cytometry and pigment fingerprinting aided by high performance liquid chromatography (HPLC). The latter method is based on the fact that each major algal group of taxa contains a specific carotenoid which can be used for identification and relative quantification of the taxa in the total assemblage. This article gives a brief comparative introduction to the different techniques available and presents some recent results obtained by HPLC-based pigment fingerprinting, applied to three lakes of different trophic status. The results show that this technique yields reliable results from different lake types and is a powerful tool for studying the distribution pattern of the phytoplankton community in relation to water depth. However, some restrictions should be taken into account for the interpretation of routine data.

激光脉冲放大器的增益通量曲线研究

提出利用放大器的增益通量曲线来全面描述放大器增益特性的方法．并对单台放大器的增益通量曲线进行了研究，从而进一步加深了对放大器的认识．为功率平衡研究提供有力工具．

A Comparison of the SNP Variation in the Calcification PMCA Gene of Lottia gigantea between a Santa Barbara Population and a More Acidic Monterey Bay Population

As the atmospheric levels of CO2 rise from human activity, the carbonic acid levels of the ocean increase, causing ocean acidification. This increase in acidity breaks down the calcified bodies that many marine organisms depend upon. Upwelling regions such as Monterey Bay in California have pH levels that are not expected to reach the open ocean for a few decades. This study reviews one of the common intertidal animals of the California coast, the Owl Limpet Lottia gigantea, and its genetic variation of the plasma membrane Ca2+ ATPase (PMCA) in relation to the acidity of its environment. The PMCA protein functions in the calcification process of many organisms. Specifically in limpets, this gene functions to form its protective shell. Single-nucleotide polymorphisms (SNPs) were found among five sections of the gene to determine variation between the acidic environment population in Monterey, California and the non-acidic environment population in Santa Barbara, California. While some variation was determined, the Monterey Bay and Santa Barbara Lottia gigantea populations are not significantly distinct at the PMCA gene. Sections B, C, and D were found to be linked. Only one location in Section B was found to have an amino acid change within an exon. Section A has the strongest connection to the sampling location. Monterey individuals were seen to be more genetically recognizable, while Santa Barbara individuals showed slightly more variation. Understanding the trends of ocean acidification, upwelling region activities, and population genetics will assist in determining how the ocean environment will behave in the future.

Optimisation of the first principle code Octopus for massive parallel architectures: application to light harvesting complexes

150 p.

La aplicación empresarial del marketing viral y el efecto boca-oreja electrónico. Opiniones de las empresas

[ES] La práctica tradicional del boca-oreja, natural desde hace años como modo de publicidad efectiva sin recurrir a grandes inversiones ni contrataciones en medios masivos se ha convertido en una nueva posibilidad de marketing con la llegada de las nuevas tecnologías e Internet. Así ha aparecido una nueva estrategia de marketing que consiste en explotar las redes sociales preexistentes para producir incrementos exponenciales en conocimiento de marca, denominada marketing viral. El efecto "boca-oreja online" que genera es una herramienta poderosa para las empresas, aunque su verdadero potencial está aún por descubrir. El objetivo del presente trabajo de investigación es analizar este fenómeno a través de una amplia revisión bibliográfica del término, así como un estudio empírico consistente en una entrevista en profundidad realizada a una muestra de importantes empresas españolas. Los resultados indican que el marketing viral puede ser empleado para el beneficio, tanto de grandes empresas con grandes presupuestos, como de pequeños negocios. Las experiencias exitosas de su utilización demuestran que, cuando se usa integrado en el resto de estrategias comerciales de la empresa, puede mejorar la recomendación de la marca e incrementar su notoriedad en el mercado. El marketing viral puede ser ventajoso a la hora de lanzar un nuevo producto al mercado, sin embargo, la efectividad y la medición de las campañas son vistas por muchos académicos y profesionales como un punto débil de la estrategia.

Atividade pró-trombótica da toxina ExoU de Pseudomonas aeruginosa detectada em modelos experimentais in vivo e in vitro

Pseudomonas aeruginosa é um importante agente de pneumonia, particularmente em pacientes submetidos à ventilação mecânica, que pode evoluir para sepse, com elevadas taxas de letalidade. Na sepse, o processo inflamatório sistêmico exacerbado favorece o desequilíbrio entre as vias de coagulação e fibrinólise e a instalação de um estado pró-coagulante, com o aparecimento de trombose microvascular, coagulação intravascular disseminada e falência de múltiplos órgãos. Conhecendo a potente atividade pró-inflamatória da toxina ExoU produzida por P. aeruginosa, decorrente de sua atividade fosfolipásica A2, o objetivo desta tese foi investigar seu potencial de indução de alterações hemostáticas relacionadas à patogênese da sepse. Utilizando modelo de sepse em camundongos inoculados, por via intratraqueal, com suspensões de P. aeruginosa produtora de ExoU (PA103) ou de cepa com deleção do gene exoU, não produtora da toxina, foi mostrado que ExoU determinou maior gravidade da infecção, maior taxa de letalidade, leucopenia, trombocitose, hiperpermeabilidade vascular e transudação plasmática, evidenciadas, respectivamente, pela maior concentração de proteínas nos lavados broncoalveolares (LBAs) e acúmulo do corante Azul de Evans, previamente inoculado nos animais, por via endovenosa, no parênquima renal. ExoU favoreceu, também, a ativação plaquetária, confirmada pela maior concentração de plaquetas expressando P-selectina em sua superfície, maior número de micropartículas derivadas de plaquetas e maior concentração plasmática de tromboxano A2. A histopatologia dos pulmões e rins dos animais infectados com PA103 confirmou a formação de microtrombos, que não foram detectados nos animais controles ou infectados com a cepa mutante. Nos pulmões, a produção de ExoU determinou intensa resposta inflamatória com maior concentração de leucócitos totais e polimorfonucleados, interleucina-6 e fator de necrose tumoral-α nos LBAs. A análise imunohistoquímica mostrou intensa deposição de fibrina nos alvéolos e septos interalveolares. A atividade pró-coagulante dependente do fator tissular detectada nos LBAs dos camundongos infectados com PA103 foi independente da produção do inibidor da via de ativação do fator tissular (TFPI), mas associada ao aumento da produção do inibidor do ativador do plasminogênio-1 (PAI-1). Para investigar a participação do fator de ativação plaquetária (PAF) na liberação de PAI-1, foi pesquisada a atividade da enzima PAF-acetil-hidrolase (PAF-AH) nos LBAs dos camundongos. A atividade de PAF-AH apresentou-se significativamente elevada nos LBA dos camundongos infectados com PA103. O tratamento dos animais com um inibidor do PAF, antes da infecção, resultou na diminuição significativa das concentrações de PAI-1 e de leucócitos totais, bem como da atividade pró-coagulante dos LBAs. In vitro, ExoU induziu maior expressão do RNA mensageiro de PAI-1 e maior liberação da proteína PAI-1 nos sobrenadantes de células epiteliais respiratórias da linhagem A549. O tratamento das células A549 com um anticorpo anti-receptor de PAF, antes da infecção, reduziu significativamente a concentração de PAI-1 nos sobrenadantes de células infectadas com a cepa selvagem. Estes resultados demonstraram um novo mecanismo de virulência de P. aeruginosa através da atividade pró-trombótica de ExoU e a possibilidade de utilização da identificação de ExoU em isolados clínicos de pacientes graves como um marcador prognóstico para estes pacientes.

Magnetic Cross-Linked Enzyme Aggregates (mCLEAs) of Candida antarctica Lipase: An Efficient and Stable Biocatalyst for Biodiesel Synthesis

Enzyme-catalyzed production of biodiesel is the object of extensive research due to the global shortage of fossil fuels and increased environmental concerns. Herein we report the preparation and main characteristics of a novel biocatalyst consisting of Cross-Linked Enzyme Aggregates (CLEAs) of Candida antarctica lipase B (CALB) which are covalently bound to magnetic nanoparticles, and tackle its use for the synthesis of biodiesel from non-edible vegetable and waste frying oils. For this purpose, insolubilized CALB was covalently cross-linked to magnetic nanoparticles of magnetite which the surface was functionalized with –NH2 groups. The resulting biocatalyst combines the relevant catalytic properties of CLEAs (as great stability and feasibility for their reutilization) and the magnetic character, and thus the final product (mCLEAs) are superparamagnetic particles of a robust catalyst which is more stable than the free enzyme, easily recoverable from the reaction medium and reusable for new catalytic cycles. We have studied the main properties of this biocatalyst and we have assessed its utility to catalyze transesterification reactions to obtain biodiesel from non-edible vegetable oils including unrefined soybean, jatropha and cameline, as well as waste frying oil. Using 1% mCLEAs (w/w of oil) conversions near 80% were routinely obtained at 30°C after 24 h of reaction, this value rising to 92% after 72 h. Moreover, the magnetic biocatalyst can be easily recovered from the reaction mixture and reused for at least ten consecutive cycles of 24 h without apparent loss of activity. The obtained results suggest that mCLEAs prepared from CALB can become a powerful biocatalyst for application at industrial scale with better performance than those currently available.

LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties

221 p.+ anexos

Tendências na mortalidade por batida de carro em três grandes cidades do Brasil e a Síndrome do macho jovem

Vários estudos encontraram maiores taxas de mortalidade por batidas no trânsito entre homens do que entre mulheres e entre homens jovens do que entre homens mais velhos. No entanto, há uma lacuna quanto a explicações para essas diferenças. Esse estudo, diferentemente dos antecessores, parte de hipóteses postuladas a priori, sobre como devem variar as taxas de mortalidade por batidas no trânsito, de acordo com sexo e idade. Espera-se encontrar a presença e ausência de certas associações e interações, com base na teoria moderna da seleção sexual aplicada ao estudo do comportamento humano, especificamente, a síndrome do macho jovem. O objetivo do presente estudo é comparar tendências nas taxas de mortalidade por batida de carro e moto segundo sexo e idade. Trata-se de um estudo ecológico com Estado como unidade geográfica de análise e o ano calendário como unidade temporal de análise. A população do estudo foi composta por homens e mulheres de 18 a 60 anos residentes no Estado do Rio de Janeiro, entre 2004 e 2010, e no Estado do Rio Grande do Sul, entre os anos de 2001 e 2010. Os resultados mostraram que o número de mortes por batida de carro e de moto, considerando o número de habilitados para guiar tais veículos, foi maior em homens do que em mulheres e em indivíduos mais jovens do que mais velhos. Além dessa interessante congruência entre os resultados encontrados e as hipóteses postuladas, descobrimos uma intrigante exceção: no Estado do Rio de Janeiro, a taxa de mortalidade por batida de moto foi consideravelmente maior em mulheres do que em homens. As tendências nas taxas de mortalidade por batida de carro e moto no Estado do Rio de Janeiro vêm apresentando uma queda nos últimos anos. No Rio Grande do Sul, as taxas de mortalidade por batida de moto também vêm caindo ao longo dos anos, enquanto que as taxas de mortalidade por batida de carro vêm apresentando aumento. Tais resultados levam a concluir que a Síndrome do Macho Jovem parece ser uma potente e promissora teoria para ajudar a postular hipóteses sobre o risco de morte no trânsito.