Dominant and Recessive RYR1 Mutations in Adults with Core Lesions and Mild Muscle Symptoms

INTRODUCTION: Ryanodine receptor gene (RYR1) mutations have been associated with central core disease (CCD), multiminicore/minicore/multicore disease (MmD), and susceptibility to malignant hyperthermia (MH). METHODS: Patients with muscle symptoms in adulthood, who had features compatible with CCD/MmD, underwent clinical, histological, and genetic (RYR1 and SEPN1 genes) evaluations. Published cases of CCD and MmD with adult onset were also reviewed. RESULTS: Eight patients fulfilled the criteria for further analysis. Five RYR1 mutations, 4 of them unreported, were detected in 3 patients. Compound heterozygosity was proven in 1 case. CONCLUSIONS: To our knowledge, this is the only report of adult onset associated with recessive RYR1 mutations and central core/multiminicores on muscle biopsy. Although adult patients with CCD, MmD, and minimally symptomatic MH with abnormal muscle biopsy findings usually have a mild clinical course, differential diagnosis and carrier screening is crucial for prevention of potentially life-threatening reactions to general anesthesia.

Calibration, selection and mosaicing of SMART-1 AMIE images

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Interactive acquisition of spatial information from images for multimedia applications

Dissertação para obtenção do Grau de Doutor em Informática

Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Amorphous silicon e 3D sensors applied to object detection

Nowadays, existing 3D scanning cameras and microscopes in the market use digital or discrete sensors, such as CCDs or CMOS for object detection applications. However, these combined systems are not fast enough for some application scenarios since they require large data processing resources and can be cumbersome. Thereby, there is a clear interest in exploring the possibilities and performances of analogue sensors such as arrays of position sensitive detectors with the final goal of integrating them in 3D scanning cameras or microscopes for object detection purposes. The work performed in this thesis deals with the implementation of prototype systems in order to explore the application of object detection using amorphous silicon position sensors of 32 and 128 lines which were produced in the clean room at CENIMAT-CEMOP. During the first phase of this work, the fabrication and the study of the static and dynamic specifications of the sensors as well as their conditioning in relation to the existing scientific and technological knowledge became a starting point. Subsequently, relevant data acquisition and suitable signal processing electronics were assembled. Various prototypes were developed for the 32 and 128 array PSD sensors. Appropriate optical solutions were integrated to work together with the constructed prototypes, allowing the required experiments to be carried out and allowing the achievement of the results presented in this thesis. All control, data acquisition and 3D rendering platform software was implemented for the existing systems. All these components were combined together to form several integrated systems for the 32 and 128 line PSD 3D sensors. The performance of the 32 PSD array sensor and system was evaluated for machine vision applications such as for example 3D object rendering as well as for microscopy applications such as for example micro object movement detection. Trials were also performed involving the 128 array PSD sensor systems. Sensor channel non-linearities of approximately 4 to 7% were obtained. Overall results obtained show the possibility of using a linear array of 32/128 1D line sensors based on the amorphous silicon technology to render 3D profiles of objects. The system and setup presented allows 3D rendering at high speeds and at high frame rates. The minimum detail or gap that can be detected by the sensor system is approximately 350 μm when using this current setup. It is also possible to render an object in 3D within a scanning angle range of 15º to 85º and identify its real height as a function of the scanning angle and the image displacement distance on the sensor. Simple and not so simple objects, such as a rubber and a plastic fork, can be rendered in 3D properly and accurately also at high resolution, using this sensor and system platform. The nip structure sensor system can detect primary and even derived colors of objects by a proper adjustment of the integration time of the system and by combining white, red, green and blue (RGB) light sources. A mean colorimetric error of 25.7 was obtained. It is also possible to detect the movement of micrometer objects using the 32 PSD sensor system. This kind of setup offers the possibility to detect if a micro object is moving, what are its dimensions and what is its position in two dimensions, even at high speeds. Results show a non-linearity of about 3% and a spatial resolution of < 2µm.

ClearPhoto - augmented photography

The widespread use of mobile devices has made known to the general public new areas that were hitherto confined to specialized devices. In general, the smartphone came to give all users the ability to execute multiple tasks, and among them, take photographs using the integrated cameras. Although these devices are continuously receiving improved cameras, their manufacturers do not take advantage of their full potential, since the operating systems normally offer simple APIs and applications for shooting. Therefore, taking advantage of this environment for mobile devices, we find ourselves in the best scenario to develop applications that help the user obtaining a good result when shooting. In an attempt to provide a set of techniques and tools more applied to the task, this dissertation presents, as a contribution, a set of tools for mobile devices that provides information in real-time on the composition of the scene before capturing an image. Thus, the proposed solution gives support to a user while capturing a scene with a mobile device. The user will be able to receive multiple suggestions on the composition of the scene, which will be based on rules of photography or other useful tools for photographers. The tools include horizon detection and graphical visualization of the color palette presented on the scenario being photographed. These tools were evaluated regarding the mobile device implementation and how users assess their usefulness.

UAV - based imagery processing using structure from motion and remote sensing technology

With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.

Masonry infill walls under blast loading using confined underwater blast wave generators (WBWG)

The vulnerability of the masonry envelop under blast loading is considered critical due to the risk of loss of lives. The behaviour of masonry infill walls subjected to dynamic out-of-plane loading was experimentally investigated in this work. Using confined underwater blast wave generators (WBWG), applying the extremely high rate conversion of the explosive detonation energy into the kinetic energy of a thick water confinement, allowed a surface area distribution avoiding also the generation of high velocity fragments and reducing atmospheric sound wave. In the present study, water plastic containers, having in its centre a detonator inside a cylindrical explosive charge, were used in unreinforced masonry infills panels with 1.7m by 3.5m. Besides the usage of pressure and displacement transducers, pictures with high-speed video cameras were recorded to enable processing of the deflections and identification of failure modes. Additional numerical studies were performed in both unreinforced and reinforced walls. Bed joint reinforcement and grid reinforcement were used to strengthen the infill walls, and the results are presented and compared, allowing to obtain pressure-impulse diagrams for design of masonry infill walls.

Automatic visual detection of human behavior: a review from 2000 to 2014

Due to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems.

Reconfiguração e novas funcionalidades para um servidor REST ONVIF: serviço de IO e configuração de descoberta

Dissertação de mestrado em Engenharia de Telecomunicações e Informática

Comunicação Android com câmaras ONVIF e gestão de Perfis de Media

Dissertação de mestrado integrado em Engenharia de Telecomunicações e Informática

Aplicação web para configuração e acesso a câmaras ONVIF

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores

Linguagem médica e linguagem televisiva: uma guerra aberta ou uma convivência pacífica?

Dissertação de mestrado em Ciências da Comunicação (área de especialização em Informação e Jornalismo)

Sustancias lipídicas y proteicas en semillas de dicotiledóneas Americanas

Se estudian mediante métodos clásicos y modernos las características físicas y químicas cuali y cuantitativas de semillas oleaginosas y potencialmente oleaginosas silvestres y cultivadas del centro y noreste de Argentina, como así también materiales de Bolivia, Perú y Ecuador. Las familias de plantas que se indagan son Apocináceas, Cactáseas, Curcubitáceas y Solanáceas. Se enfatizará en contenido de aceite, composiciones acídicas, esteroles, hidrocarburos, proteínas solubles y totales. Se estudian además algunos procesos oxidativos en los lípidos semiales. Para la resolución de los problemas se recurre a diferentes técnicas tales como extracción sólido-líquido, líquido-líquido, cromatografía CCD, CGL y HPLC, espectroscopía visible, UV, IR, RMN y EM. Los objetivos son realizar aportes a la fitoquímica y quimiotaxonomía utilizando componentes lipídicos y proteicos semiales. Los trabajos son continuación de una de nuestras líneas de investigación. Objetivos generales: Conocer las características de las fracciones saponificable e insaponificable de los aceites semiales, como así como también las proteínas totales y solubles de semillas de especies silvestres y cultivadas que crecen en Argentina y otros países de América. Objetivos específicos: -Conocer las características de los ácidos grasos enoicos y sus productos de oxidación. - Establecer mediante técnicas numéricas los balances y asociaciones que pueden originarse entre las muestras, utilizando como parámetros los acilglicéridos, composición acídica, esteroles, hidrocarburos, terpenoides, fracciones proteicas, características físicas de las semillas, etc., con finalidades fitoquímicas, quimiotaxonómicas y eventualmente su proyección como semillas potencialmente oleaginosas.

Optimización telémetro láser

Durante el año 1995 se encaró el proyecto "Telémetro Láser aplicable a robótica" en el ámbito de la Universidad Tecnológica Nacional-Facultad Regional Córdoba. Este proyecto pretendía demostrar la factibilidad de utilizar fuentes láser y dispositivos de acoplamiento de carga (CCD) lineales para realizar mediciones de distancia por triangulación óptica. De acuerdo a lo propuesto, este prototipo está constituido por un "iluminador" láser (láser de HeNe), un sistema óptico (cámara fotográfica); el sistema detector consiste en un CCD controlado por un microcontrolador. Las salidas son un display donde se lee la distancia y una salida adicional vía RS 232. Luego de haber concretado el desarrollo del prototipo donde se demuestra la factibilidad del proyecto y del funcionamiento del telémetro láser, la presente propuesta consiste en realizar una optimización del mismo donde se desarrollarán y aplicarán nuevas tecnologías, a los efectos de concretar un telémetro láser aplicable a robótica. Objetivos Específicos En el presente proyecto se propone un medidor de distancias láser compacto que permita medir distancias entre unos centímetros y algunos metros. En particular, se pretende incorporarlo al proyecto "Plataforma autoguiada" presentado por el Grupo GIII de la UTN, como un sensor adicional ya que la medición exacta y confiable de la distancia es esencial para el desplazamiento inteligente del mismo. El dispositivo permitirá además otras aplicaciones aparte de la robótica. Fundamentalmente, en aquellas donde se deseen medir distancias pequeñas, sin contacto y con precisión. Se prevé una posible aplicación para la industria como "calibres sin contacto".