Changes in the coherence of quasi-monochromatic electromagnetic Gaussian Schell-model beams propagating through turbulent atmosphere

Based on the extended Huygens-Fresnel principle, the mutual coherence function of quasi-monochromatic electromagnetic Gaussian Schell-model (EGSM) beams propagating through turbulent atmosphere is derived analytically. By employing the lateral and the longitudinal coherence length of EGSM beams to characterize the spatial and the temporal coherence of the beams, the behavior of changes in the spatial and the temporal coherence of those beams is studied. The results show that with a fixed set of beam parameters and under particular atmospheric turbulence model, the lateral coherence of an EGSM beam reaches its maximum value as the beam propagates a certain distance in the turbulent atmosphere, then it begins degrading and keeps decreasing along with the further distance. However, the longitudinal coherence length of an EGSM beam keeps unchanging in this propagation. Lastly, a qualitative explanation is given to these results. (c) 2007 Elsevier B.V. All rights reserved.

Dynamic full-range Fourier-domain optical coherence tomography using sinusoidal phase-modulating interferometry

We propose a technique for dynamic full-range Fourier-domain optical coherence tomography by using sinusoidal phase-modulating interferometry, where both the full-range structural information and depth-resolved dynamic information are obtained. A novel frequency-domain filtering algorithm is proposed to reconstruct a time-dependent complex spectral interferogram from the sinusoidally phase-modulated interferogram detected with a high-rate CCD camera. By taking the amplitude and phase of the inverse Fourier transform of the complex spectral interferogram, a time-dependent full-range cross-sectional image and depth-resolved displacement are obtained. Displacement of a sinusoidally vibrating glass cover slip behind a fixed glass cover slip is measured with subwavelength sensitivity to demonstrate the depth-resolved dynamic imaging capability of our system. (c) 2007 Society of Photo-Optical Instrumentation Engineers.

Effects of coherence on anisotropic electromagnetic Gaussian-Schell model beams on propagation

An analytical formula for the cross-spectral density matrix of the electric field of anisotropic electromagnetic Gaussian-Schell model beams propagating in free space is derived by using a tensor method. The effects of coherence on those beams are studied. It is shown that two anisotropic stochastic electromagnetic beams that propagate from the source plane z = 0 into the half-space z > 0 may have different beam shapes (i.e., spectral density) and states of polarization in the half-space, even though they have the same beam shape and states of polarization in the source plane. This fact is due to a difference in the coherence properties of the field in the source plane. (C) 2007 Optical Society of America.

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.

The far-field spatial coherence of Gaussian Schell-model beam in turbulence in terms of position vectors

Spatial coherence properties of beam produced by Gaussian Schell-model source when the beam is propagating through atmosphere have been analyzed in terms of position vectors. New expressions for cross-spectral density of optical field and spectral degree of coherence as well as radiant intensity have been developed. Numerical results illustrated in this paper indicate the coherence degradation suffered from atmospheric turbulence and their directional dependence. (C) 2007 Elsevier GmbH. All rights reserved.

One-shot parallel complex Fourier-domain optical coherence tomography using a spatial carrier frequency

We propose a novel method of one-shot parallel complex Fourier-domain optical coherence tomography using a spatial carrier frequency for full range imaging. The spatial carrier frequency is introduced into the 2-D spectral interferogram in the lateral direction by using a tilted reference wavefront. This spatial-carrier- contained 2-D spectral interferogram is recorded with one shot of a 2-D CCD camera, and is Fourier-transformed in the lateral direction to obtain a 2-D complex spectral interferogram by a spatial-carrier technique. A full-range tomogram is reconstructed from the 2-D complex spectral interferogram. The principle of this method is confirmed by cross-sectional imaging of a glass slip object. (c) 2008 Society of Photo-Optical Instrumentation Engineers.

Home range and habitat use by Kemp's Ridley turtles in West-Central Florida

The Kemp's ridley turtle (Lepidochelys kempii) is an endangered species whose recovery depends in part on the identification and protection of required habitats. We used radio and sonic telemetry on subadult Kemp's ridley turtles to investigate home-range size and habitat use in the coastal waters of west-central Florida from 1994 to 1996. We tracked 9 turtles during May-August up to 70 days after release and fou.ld they occupied 5-30 km2 foraging ranges. Compositional analyses indicated that turtles used rock outcroppings in their foraging ranges at a significantly higher proportion than expected. based on availability within the study area. Additionally. turtles used live bottom (e.g .• sessile invertebrates) and green macroalgae habitats significantly more than seagrass habitat. Similar studies are needed through'mt the Kemp's ridley turtles' range to investigate regional and stage-specific differences in habitat use. which can then be used to conserve important foraging areas.

How central are clients in sexual networks created by commercial sex?

Sex workers are traditionally considered important vectors of transmission of sexually transmitted infections (STI). The role of clients is commonly overlooked, partially due to the lack of evidence on clients' position in the sexual network created by commercial sex. Contrasting the diffusion importance of sex workers and their clients in the map of their sexual encounters in two Web-mediated communities, we find that from diffusion perspective, clients are as important as sex workers. Their diffusion importance is closely linked to the geography of the sexual encounters: as a result of different movement patterns, travelling clients shorten network distances between distant network neighborhoods and thus facilitate contagion among them more than sex workers, and find themselves more often in the core of the network by which they could contribute to the persistence of STIs in the community. These findings position clients into the set of the key actors and highlight the role of human mobility in the transmission of STIs in commercial sexual networks.

Etnografía y alimentación entre los Toba-Nachilamole#ek y wichí-Lhuku’tas del Chaco Central (Argentina), Cap. 1, 2 y 3.

Se reproducen tres capítulos relacionados con la ictiología del libro de Pastor Arenas, gracias a su gentileza.

Catéteres venosos centrales de larga duración y sus complicaciones. Reservorio venoso subcutáneo versus catéter central de inserción periférica : revisión bibliográfica.

Introducción: Los catéteres venosos centrales (CVC) de larga duración representan una alternativa para muchos pacientes receptores de tratamientos intravenosos prolongados y agresivos. Dentro de estos, es frecuente el uso de los reservorios venosos subcutáneos (RVS) y de los catéteres centrales de inserción periférica (PICC). En ambos, a pesar de sus numerosas ventajas, pueden surgir complicaciones que comprometan el funcionamiento del dispositivo y provocar la necesidad de retirarlo. Estas, además, pueden poner en peligro el bienestar e incluso la vida del paciente. Objetivos: Analizar las complicaciones asociadas a la implantación y uso de RVS y PICC. Metodología: Se realizó una búsqueda bibliográfica en las bases de datos: Scopus, ScienceDirect, Dialnet plus, ProQuest, OvidSP, SciELO, Cuiden y Elsevier. Resultados: Se seleccionaron seis estudios realizados sobre pacientes portadores de RVS y cinco sobre los PICC. En ellos se analizaron las complicaciones surgidas y los motivos de retirada de los dispositivos por complicaciones asociadas. Conclusiones: Los PICC presentan una morbilidad y una tasa de retirada por complicaciones mayor que los RVS. Las infecciones, obstrucciones y trombosis son las complicaciones con mayor prevalencia en ambos dispositivos junto con las extracciones accidentales en el caso de los PICC. Además, representan los motivos más habituales de retirada del CVC por alguna complicación. Las complicaciones pueden estar influenciadas por distintos factores, entre otros, los cuidados y mantenimiento que se realicen del dispositivo. Idioma: Español.

PICC vs Catéter central insertado en vena subclavia en pacientes críticos

[Es]Introducción: actualmente, en servicios como UCIs, quirófanos y Urgencias cada vez es más común el empleo de CVCS y PICC. Ambos están asociados a graves complicaciones como CLABSI, TVP, EP, arritmia, etc. Dado que la enfermería juega un papel importante tanto en la inserción de estos dispositivos, como en el mantenimiento y prevención de las adversidades, es necesario poseer los conocimientos y habilidades adecuados para su afrontamiento. Objetivo y metodología: determinar cuál de los dos supone menor riesgo de complicaciones en pacientes críticos mediante la evidencia científica y utilizando la EBE. Para ello se ha realizado una revisión bibliográfica de estudios encontrados en bases de datos como Pubmed, Cochrane y Cinhal mediante la combinación de términos MeSH y palabras clave con operadores booleanos. Resultados y discusión: se han incluido en total 13 publicaciones (6 RS, 4 estudios de cohorte, 1 ECA y 2 GPC), de las cuales 3 poseen calidad alta, 3 media y 5 baja. Tanto los PICC como los CVCS implican diversas complicaciones, divididas en infecciosas, trombo-embolicas y mecánicas/otras. Existe insuficiente evidencia científica y gran heterogeneidad entre los artículos, lo que dificulta su extrapolación. Conclusiones: en pacientes críticos los PICC poseen mayor riesgo de TVP, los CVCS de complicaciones mecánicas, y ambos presentan tasas similares de CLABSI. Es importante escoger de forma individualizada el catéter a implantar, estimando los riesgos-beneficios de cada uno. Los cuidados preventivos son fundamentales en la reducción de estas contingencias. Son necesarios más estudios prospectivos comparativos.

Las competencias docentes del profesor de la Facultad de Filosofía de la Universidad Central del Ecuador y su incidencia en la calidad educativa

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Proyecto de un parque eólico para la alimentación de las bombas de la central hidráulica de Belesar (Lugo).

[ES]El proyecto consiste en el estudio de las necesidades energéticas de las bombas de una central hidráulica y la construcción de un parque eólico para satisfacer dichas necesidades. Para ello será necesario llevar a cabo un estudio del área y así encontrar el lugar más adecuado para ubicar los aerogeneradores, teniendo en cuenta la frecuencia, velocidad y dirección de los vientos predominantes del lugar. Después habrá que estudiar el mercado y elegir el aerogenerador adecuado para las condiciones del lugar y del viento, atendiendo también a otras cuestiones de relevancia. Se estudiará, además, la posibilidad de inyectar un posible exceso de electricidad a la red general. Una vez hecho esto, habrá que calcular el coste del proyecto.

Estudio de viabilidad de la central hidroeléctrica Bertxin - Leizarán.

[ES]El objetivo de este proyecto es conocer el funcionamiento de la Central Hidroeléctrica de Bertxin – Leizarán y plantear alternativas económicamente viables para mejorar la eficiencia de la misma. Se analizará para cada una de las alternativas propuestas el efecto en el rendimiento de la central, así como el impacto económico estimado, atendiendo al precio de la obra y el equipo necesario. Así, se determinará la solución óptima, que será desarrollada en el anteproyecto.

Estudio de viabilidad de la central hidroeléctrica de Ubao –Toquillo.

[ES]El objetivo del presente proyecto de viabilidad es estudiar la eficiencia y productividad de la central hidroeléctrica de Ubao – Toquillo, situada en Oñati, Gipuzkoa (España), ofreciendo a su vez una serie de alternativas económica y técnicamente viables. Para ello, se analizarán los elementos de la central; aunque la turbina hidráulica sea el elemento fundamental de la central, se tendrán en cuenta otros elementos como, por ejemplo, estructuras mecánicas o máquinas eléctricas. Para cada una de las alternativas, se calculará la producción de energía y la inversión necesaria, y se compararán unas con otras. Finalmente, se seleccionará la óptima que pasará a desarrollarse en el anteproyecto.