Evaluation of the influence of visual parameters on wave transmission velocity in sawn chestnut timber

Non-destructive, visual evaluation and mechanical testing techniques were used to assess the structural properties of 374 samples of chestnut (Castanea sativa). The principal components method was applied to establish and interpret correlations between variables obtained of modulus of elasticity, bending strength and density. The static modulus of elasticity presented higher correlation values than those obtained using non-destructive methods. Bending strength presented low correlations with the non-destructive parameters, but there was some relation to the different knot ratios defined. The relationship was stronger with the most widely used ratio, CKDR. No significant correlations were observed between any of the variables and density.

Combination of optical and on-destructivemechanicaltechniques for the measurement of maturity in peach

Increasing consumer dissatisfaction related with lack of ripeness in peach has been repeatedly reported since 1990 to the present day. There is thus, a great interest in improving the assessment of peach maturity, currently based on Magness Taylor firmness (destructive, highly variable, and time consuming) and colour (not reliable for highly coloured varieties). The present research studies as an alternative several non-destructive (ND) measurements, based on multispectral imaging, visible spectra, and low mass impact response. Their relationship with maturity, as well as the potential of their combination was studied. As a result, two rather independent (R2 = 0.3) groups of non-destructive measurements, chlorophyll related optical indexes and low mass impact (LMI) measurements, were identified. Optical measurements showed the best behaviour for assessing maturity at harvest, while LMI measurements reflected handling incidences, showing a promising potential to be used to control transport and postharvest handling.

Si and SixGe1-x NWs studied by Raman spectroscopy

Group IV nanostructures have attracted a great deal of attention because of their potential applications in optoelectronics and nanodevices. Raman spectroscopy has been extensively used to characterize nanostructures since it provides non destructive information about their size, by the adequate modeling of the phonon confinement effect. The Raman spectrum is also sensitive to other factors, as stress and temperature, which can mix with the size effects borrowing the interpretation of the Raman spectrum. We present herein an analysis of the Raman spectra obtained for Si and SiGe nanowires; the influence of the excitation conditions and the heat dissipation media are discussed in order to optimize the experimental conditions for reliable spectra acquisition and interpretation.

In situ acoustic methods to estimate the physical and mechanical aging of oriented strand board

Following the success achieved in previous research projects usin non-destructive methods to estimate the physical and mechanical aging of particle and fibre boards, this paper studies the relationships between aging, physical and mechanical changes, using non-destructive measurements of oriented strand board (OSB). 184 pieces of OSB board from a French source were tested to analyze its actual physical and mechanical properties. The same properties were estimated using acoustic non-destructive methods (ultrasound and stress wave velocity) during a physical laboratory aging test. Measurements were recorded of propagation wave velocity with the sensors aligned, edge to edge, and forming an angle of 45 degrees, with both sensors on the same face of the board. This is because aligned measures are not possible on site. The velocity results are always higher in 45 degree measurements. Given the results of statistical analysis, it can be concluded that there is a strong relationship between acoustic measurements and the decline in physical and mechanical properties of the panels due to aging. The authors propose several models to estimate the physical and mechanical properties of board, as well as their degree of aging. The best results are obtained using ultrasound, although the difference in comparison with the stress wave method is not very significant. A reliable prediction of the degree of deterioration (aging) of board is presented.

Thermal diffusion profile by NRA of Deuterium implanted in solid breeder blanket materials

This paper studies the relationship between aging, physical changes and the results of non-destructive testing of plywood. 176 pieces of plywood were tested to analyze their actual and estimated density using non-destructive methods (screw withdrawal force and ultrasound wave velocity) during a laboratory aging test. From the results of statistical analysis it can be concluded that there is a strong relationship between the non-destructive measurements carried out, and the decline in the physical properties of the panels due to aging. The authors propose several models to estimate board density. The best results are obtained with ultrasound. A reliable prediction of the degree of deterioration (aging) of board is presented. Breeder blanket materials have to produce tritium from lithium while fulfilling several strict conditions. In particular, when dealing with materials to be applied in fusion reactors, one of the key questions is the study of light ions retention, which can be produced by transmutation reactions and/or introduced by interaction with the plasma. In ceramic breeders the understanding of the hydrogen isotopes behaviour and specially the diffusion of tritium to the surface is crucial. Moreover the evolution of the microstructure during irradiation with energetic ions, neutrons and electrons is complex because of the interaction of a high number of processes.

Medidas de propiedades dieléctricas de materiales de construcción mediante elipsometría

A set of measurements of electromagnetic properties of building materials is presented in this work. The method is based on the measurement of the polarization state of the reflected signal from the material under study at a fixed angle of incidence. From the measured data, by using the Fresnel equations, it has been obtained the dielectric constant. Measurements were done by using two horn antennas at the frequency of 9 GHz. The obtained results are compared with the free space reflexion and transmission Fresnel method and other reflection methods based on a conductor waveguide. The method explained in this work can be used for other type of materials and its main advantage is the non-destructive character and the ease implementation.

Ensemble transcript interaction networks: A case study on Alzheimer's disease

Systems biology techniques are a topic of recent interest within the neurological field. Computational intelligence (CI) addresses this holistic perspective by means of consensus or ensemble techniques ultimately capable of uncovering new and relevant findings. In this paper, we propose the application of a CI approach based on ensemble Bayesian network classifiers and multivariate feature subset selection to induce probabilistic dependences that could match or unveil biological relationships. The research focuses on the analysis of high-throughput Alzheimer's disease (AD) transcript profiling. The analysis is conducted from two perspectives. First, we compare the expression profiles of hippocampus subregion entorhinal cortex (EC) samples of AD patients and controls. Second, we use the ensemble approach to study four types of samples: EC and dentate gyrus (DG) samples from both patients and controls. Results disclose transcript interaction networks with remarkable structures and genes not directly related to AD by previous studies. The ensemble is able to identify a variety of transcripts that play key roles in other neurological pathologies. Classical statistical assessment by means of non-parametric tests confirms the relevance of the majority of the transcripts. The ensemble approach pinpoints key metabolic mechanisms that could lead to new findings in the pathogenesis and development of AD

Reconocimiento de objetos a partir de imágenes termográficas

La termografía es un método de inspección y diagnóstico basado en la radiación infrarroja que emiten los cuerpos. Permite medir dicha radiación a distancia y sin contacto, obteniendo un termograma o imagen termográfica, objeto de estudio de este proyecto. Todos los cuerpos que se encuentren a una cierta temperatura emiten radiación infrarroja. Sin embargo, para hacer una inspección termográfica hay que tener en cuenta la emisividad de los cuerpos, capacidad que tienen de emitir radiación, ya que ésta no sólo depende de la temperatura del cuerpo, sino también de sus características superficiales. Las herramientas necesarias para conseguir un termograma son principalmente una cámara termográfica y un software que permita su análisis. La cámara percibe la emisión infrarroja de un objeto y lo convierte en una imagen visible, originalmente monocromática. Sin embargo, después es coloreada por la propia cámara o por un software para una interpretación más fácil del termograma. Para obtener estas imágenes termográficas existen varias técnicas, que se diferencian en cómo la energía calorífica se transfiere al cuerpo. Estas técnicas se clasifican en termografía pasiva, activa y vibrotermografía. El método que se utiliza en cada caso depende de las características térmicas del cuerpo, del tipo de defecto a localizar o la resolución espacial de las imágenes, entre otros factores. Para analizar las imágenes y así obtener diagnósticos y detectar defectos, es importante la precisión. Por ello existe un procesado de las imágenes, para minimizar los efectos provocados por causas externas, mejorar la calidad de la imagen y extraer información de las inspecciones realizadas. La termografía es un método de ensayo no destructivo muy flexible y que ofrece muchas ventajas. Por esta razón el campo de aplicación es muy amplio, abarcando desde aplicaciones industriales hasta investigación y desarrollo. Vigilancia y seguridad, ahorro energético, medicina o medio ambiente, son algunos de los campos donde la termografía aportaimportantes beneficios. Este proyecto es un estudio teórico de la termografía, donde se describen detalladamente cada uno de los aspectos mencionados. Concluye con una aplicación práctica, creando una cámara infrarroja a partir de una webcam, y realizando un análisis de las imágenes obtenidas con ella. Con esto se demuestran algunas de las teorías explicadas, así como la posibilidad de reconocer objetos mediante la termografía. Thermography is a method of testing and diagnosis based on the infrared radiation emitted by bodies. It allows to measure this radiation from a distance and with no contact, getting a thermogram or thermal image, object of study of this project. All bodies that are at a certain temperature emit infrared radiation. However, making a thermographic inspection must take into account the emissivity of the body, capability of emitting radiation. This not only depends on the temperature of the body, but also on its surface characteristics. The tools needed to get a thermogram are mainly a thermal imaging camera and software that allows analysis. The camera sees the infrared emission of an object and converts it into a visible image, originally monochrome. However, after it is colored by the camera or software for easier interpretation of thermogram. To obtain these thermal images it exists various techniques, which differ in how heat energy is transferred to the body. These techniques are classified into passive thermography, active and vibrotermografy. The method used in each case depends on the thermal characteristics of the body, the type of defect to locate or spatial resolution of images, among other factors. To analyze the images and obtain diagnoses and defects, accuracy is important. Thus there is a image processing to minimize the effects caused by external causes, improving image quality and extract information from inspections. Thermography is a non-­‐destructive test method very flexible and offers many advantages. So the scope is very wide, ranging from industrial applications to research and development.Surveillance and security, energy saving, environmental or medicine are some of the areas where thermography provides significant benefits. This project is a theoretical study of thermography, which describes in detail each of these aspects. It concludes with a practical application, creating an infrared camera from a webcam, and making an analysis of the images obtained with it. This will demonstrate some of the theories explained as well as the ability to recognize objects by thermography.

Evolution and treatment of vitamin B12 deficiency as a risk factor for (cognitive and functional) neurodegenerative diseases in institutionalized elderly = Evolución y tratamiento de la deficiencia de vitamina B12 como factor de riesgo de enfermedades neurodegenerativas (cognitivas y funcionales) en las personas mayores institucionalizadas.

Prevalence of vitamin B12 deficiency is very common in elderly people and can reach values as high as 40.5% of the population. It can be the result of the interaction among several factors. Vitamin B12 deficiencies have been associated with neurological, cognitive deterioration, haematological abnormalities and cardiovascular diseases that have an important influence on the health of the elderly and their quality of life. It is necessary to approach the problems arisen from the lack of data relative to them. The main objective of this thesis was to analyse the evolution of vitamin B12 status and related parameters, lipid and haematological profiles and their relationship to health risk factors, and to functional and cognitive status over one year and to determine the effect of an oral supplementation of 500 μg of cyanocobalamin for a short period of 28 days. An additional objective was to analyze the possible effects of medicine intakes on vitamin B status. Three studies were performed: a) a one year longitudinal follow-up with four measure points; b) an intervention study providing an oral liquid supplement of 500 μg of cyanocobalamin for a 28 days period; and c) analysis of the possible effect of medication intake on vitamin B status using the ATC classification of medicines. The participants for these studies were recruited from nursing homes for the elderly in the Region of Madrid. Sixty elders (mean age 84 _ 7y, 19 men and 41 women) were recruited for Study I and 64 elders (mean age 82 _ 7y, 24 men and 40 women) for Study II. For Study III, baseline data from the initially recruited participants of the first two studies were used. An informed consent was obtained from all participants or their mentors. The studies were approved by the Ethical Committee of the University of Granada. Blood samples were obtained at each examination date and were analyzed for serum cobalamin, holoTC, serum and RBC folate and total homocysteine according to laboratory standard procedures. The haematological parameters analyzed were haematocrit, haemoglobin and MCV. For the lipid profile TG, total cholesterol, LDL- and HDLcholesterol were analyzed. Anthropometric measures (BMI, skinfolds [triceps and subscapular], waist girth and waist to hip ratio), functional tests (hand grip, arm and leg strength tests, static balance) and MMSE were obtained or administered by trained personal. The vitamin B12 supplement of Study II was administered with breakfast and the medication intake was taken from the residents’ anamnesis. Data were analyzed by parametric and non-parametric statistics depending on the obtained data. Comparisons were done using the appropriate ANOVAs or non-parametric tests. Pearsons’ partial correlations with the variable “time” as control were used to define the association of the analyzed parameters. XIII The results showed that: A) Over one year, in relationship to vitamin B status, serum cobalamin decreased, serum folate and mean corpuscular volumen increased significantly and total homocysteine concentrations were stable. Regarding blood lipid profile, triglycerides increased and HDL-cholesterol decreased significantly. Regarding selected anthropometric measurements, waist circumference increased significantly. No significant changes were observed for the rest of parameters. B) Prevalence of hyperhomocysteinemia was high in the elderly studied, ranging from 60% to 90 % over the year depending on the cut-off used for the classification. LDL-cholesterol values were high, especially among women, and showed a tendency to increase over the year. Results of the balance test showed a deficiency and a tendency to decrease; this indicates that the population studied is at high risk for falls. Lower extremity muscular function was deficient and showed a tendency to decrease. A highly significant relationship was observed between the skinfold of the triceps and blood lipid profile. C) Low cobalamin concentrations correlated significantly with low MMSE scores in the elderly studied. No correlations were observed between vitamin B12 status and functional parameters. D) Regarding vitamin B12 status, holo-transcobalamin seems to be more sensitive for diagnosis; 5-10% of the elderly had a deficiency using serum cobalamin as a criterion, and 45-52% had a deficiency when using serum holotranscobalamin as a criterion. E) 500 μg of cyanocobalamin administered orally during 28 days significantly improved vitamin B12 status and significantly decreased total homocysteine concentrations in institutionalized elderly. No effect of the intervention was observed on functional and cognitive parameters. F) The relative change (%) of improvement of vitamin B12 status was higher when using serum holo-transcobalamin as a criterion than serum cobalamin. G) Antiaenemic drug intake normalized cobalamin, urologic drugs and corticosteroids serum folate, and psychoanaleptics holo-transcobalamin levels. Drugs treating pulmonary obstruction increased total homocysteine concentration significantly. H) The daily mean drug intake was 5.1. Fiftynine percent of the elderly took medication belonging to 5 or more different ATC groups. The most prevalent were psycholeptic (53%), antiacid (53%) and antithrombotic (47%) drugs.

Análisis y clasificación de maderas mediante técnicas no invasivas de baja energía

El estudio de materiales, especialmente biológicos, por medios no destructivos está adquiriendo una importancia creciente tanto en las aplicaciones científicas como industriales. Las ventajas económicas de los métodos no destructivos son múltiples. Existen numerosos procedimientos físicos capaces de extraer información detallada de las superficie de la madera con escaso o nulo tratamiento previo y mínima intrusión en el material. Entre los diversos métodos destacan las técnicas ópticas y las acústicas por su gran versatilidad, relativa sencillez y bajo coste. Esta tesis pretende establecer desde la aplicación de principios simples de física, de medición directa y superficial, a través del desarrollo de los algoritmos de decisión mas adecuados basados en la estadística, unas soluciones tecnológicas simples y en esencia, de coste mínimo, para su posible aplicación en la determinación de la especie y los defectos superficiales de la madera de cada muestra tratando, en la medida de lo posible, no alterar su geometría de trabajo. Los análisis desarrollados han sido los tres siguientes: El primer método óptico utiliza las propiedades de la luz dispersada por la superficie de la madera cuando es iluminada por un laser difuso. Esta dispersión produce un moteado luminoso (speckle) cuyas propiedades estadísticas permiten extraer propiedades muy precisas de la estructura tanto microscópica como macroscópica de la madera. El análisis de las propiedades espectrales de la luz laser dispersada genera ciertos patrones mas o menos regulares relacionados con la estructura anatómica, composición, procesado y textura superficial de la madera bajo estudio que ponen de manifiesto características del material o de la calidad de los procesos a los que ha sido sometido. El uso de este tipo de láseres implica también la posibilidad de realizar monitorizaciones de procesos industriales en tiempo real y a distancia sin interferir con otros sensores. La segunda técnica óptica que emplearemos hace uso del estudio estadístico y matemático de las propiedades de las imágenes digitales obtenidas de la superficie de la madera a través de un sistema de scanner de alta resolución. Después de aislar los detalles mas relevantes de las imágenes, diversos algoritmos de clasificacion automatica se encargan de generar bases de datos con las diversas especies de maderas a las que pertenecían las imágenes, junto con los márgenes de error de tales clasificaciones. Una parte fundamental de las herramientas de clasificacion se basa en el estudio preciso de las bandas de color de las diversas maderas. Finalmente, numerosas técnicas acústicas, tales como el análisis de pulsos por impacto acústico, permiten complementar y afinar los resultados obtenidos con los métodos ópticos descritos, identificando estructuras superficiales y profundas en la madera así como patologías o deformaciones, aspectos de especial utilidad en usos de la madera en estructuras. La utilidad de estas técnicas esta mas que demostrada en el campo industrial aun cuando su aplicación carece de la suficiente expansión debido a sus altos costes y falta de normalización de los procesos, lo cual hace que cada análisis no sea comparable con su teórico equivalente de mercado. En la actualidad gran parte de los esfuerzos de investigación tienden a dar por supuesto que la diferenciación entre especies es un mecanismo de reconocimiento propio del ser humano y concentran las tecnologías en la definición de parámetros físicos (módulos de elasticidad, conductividad eléctrica o acústica, etc.), utilizando aparatos muy costosos y en muchos casos complejos en su aplicación de campo. Abstract The study of materials, especially the biological ones, by non-destructive techniques is becoming increasingly important in both scientific and industrial applications. The economic advantages of non-destructive methods are multiple and clear due to the related costs and resources necessaries. There are many physical processes capable of extracting detailed information on the wood surface with little or no previous treatment and minimal intrusion into the material. Among the various methods stand out acoustic and optical techniques for their great versatility, relative simplicity and low cost. This thesis aims to establish from the application of simple principles of physics, surface direct measurement and through the development of the more appropriate decision algorithms based on statistics, a simple technological solutions with the minimum cost for possible application in determining the species and the wood surface defects of each sample. Looking for a reasonable accuracy without altering their work-location or properties is the main objetive. There are three different work lines: Empirical characterization of wood surfaces by means of iterative autocorrelation of laser speckle patterns: A simple and inexpensive method for the qualitative characterization of wood surfaces is presented. it is based on the iterative autocorrelation of laser speckle patterns produced by diffuse laser illumination of the wood surfaces. The method exploits the high spatial frequency content of speckle images. A similar approach with raw conventional photographs taken with ordinary light would be very difficult. A few iterations of the algorithm are necessary, typically three or four, in order to visualize the most important periodic features of the surface. The processed patterns help in the study of surface parameters, to design new scattering models and to classify the wood species. Fractal-based image enhancement techniques inspired by differential interference contrast microscopy: Differential interference contrast microscopy is a very powerful optical technique for microscopic imaging. Inspired by the physics of this type of microscope, we have developed a series of image processing algorithms aimed at the magnification, noise reduction, contrast enhancement and tissue analysis of biological samples. These algorithms use fractal convolution schemes which provide fast and accurate results with a performance comparable to the best present image enhancement algorithms. These techniques can be used as post processing tools for advanced microscopy or as a means to improve the performance of less expensive visualization instruments. Several examples of the use of these algorithms to visualize microscopic images of raw pine wood samples with a simple desktop scanner are provided. Wood species identification using stress-wave analysis in the audible range: Stress-wave analysis is a powerful and flexible technique to study mechanical properties of many materials. We present a simple technique to obtain information about the species of wood samples using stress-wave sounds in the audible range generated by collision with a small pendulum. Stress-wave analysis has been used for flaw detection and quality control for decades, but its use for material identification and classification is less cited in the literature. Accurate wood species identification is a time consuming task for highly trained human experts. For this reason, the development of cost effective techniques for automatic wood classification is a desirable goal. Our proposed approach is fully non-invasive and non-destructive, reducing significantly the cost and complexity of the identification and classification process.

Estudios de eficiencia en el uso de la luz y estimaciones de biomasa en cultivos energéticos de Salix sp. en Central New York, USA

La productividad es un factor importante que influye en la viabilidad económica de un cultivo energético de sauce y maximizarla se convierte en un tema primordial. Esta investigación está directamente relacionada con dicha característica. La productividad varía según los clones cultivados, que pueden ser mejorados y seleccionados genéticamente. Los programas genéticos requieren de una información previa (productividad media en función del porte y número de los tallos, características de las hojas, resistencia a las plagas, etc.) que ayudará a obtener clones más productivos y resistentes. Por ello, nuestra investigación consta de dos estudios: (1) Evaluación de la eficiencia del uso de la luz o LUE (Light Use Efficiency). El incremento de biomasa y la eficiencia del uso de la luz (LUE) fue estudiado en 15 clones del genero Salix durante los meses de junio a septiembre de 2011 en Belleville (Central New York, USA). Los objetivos de este estudio fueron: (1) Evaluar la eficiencia del uso de la luz en la explicación a la variación en la producción de biomasa y (2) Determinar si existen diferencias significativas entre clones evaluando el índice de área foliar (LAI) y algunos componentes de las hojas (N, P, K,…). Se concluye que la variación de biomasa está relacionada con la cantidad de luz interceptada y con la eficiencia de su uso. Dicha información debe de ser transferida para ayudar a mejorar genéticamente los futuros clones a comercializar, con el fin de maximizar la productividad y aumentar la resistencia a plagas. (2) Estimación de biomasa a través de modelos de regresión. Los estudios de investigación relacionados con la productividad requieren estimaciones no destructivas de la biomasa aérea. Sin embargo, el nivel de precisión requerido y la inversión de tiempo son excesivos para operaciones comerciales con grandes extensiones (plantaciones de 10.000 ha). Por esta razón, se estudia el nivel de especificidad (específico, intermedio y general) en la toma de datos de campo sobre los mismos 15 clones (12 de ellos se pueden agrupar en 5 grupos según su genotipo origen) del genero Salix, empleados en el estudio anterior. Para todos los niveles estudiados se observaron diferencias significativas. Pero desde nuestro punto de vista, las diferencias obtenidas no son relevantes. Para validar los modelos finalmente seleccionados se calcularon los porcentajes de error entre la biomasa estimada por los modelos de regresión calculados y la biomasa real obtenida tras los pesajes de biomasa, todo ello se realizó para cada clon según nivel de especificidad. ABSTRACT Productivity is an important factor in the economic viability of a willow crop´s, therefore, maximize it becomes a major factor. This study is directly related to this feature. Productivity, among other factors, may vary depending on different clones, which can be improved and selected genetically. Genetic programs require prior information (average productivity, size and number of stems, leaf characteristics, resistance to pests, etc.) to help you get more productive clones resistant to local pests. Our research consists of two studies: (1) Evaluation of the efficiency of use of light (LUE, Light Use Efficiency). The increase of biomass and light use efficiency (LUE) was tested on 15 clones of the genus Salix during June and September 2011 in Belleville (Central New York, USA). The objectives of this study were: (1) evaluate the light use efficiency and its relationship with the variation in biomass production and (2) determine whether there are significant differences between clones evaluating the leaf area index (LAI) and some traits of the leaves (N, P, K). We studied the correlation with the light use efficiency. It is concluded that the variation of biomass was related to the amount of light intercepted and its efficiency. Such information must be transferred to help improve future genetically clones to market in order to maximize productivity and increase resistance to pests. (2) Estimation of biomass through regression models. Research studies related to productivity estimates require precision and non destructive biomass. However, the level of accuracy required and the investment of time are excessive for large commercial operations with extensions (plantations of 10,000 ha). Precisely for this reason, we study the level of specificity (specific, intermediate and general) in making field data on the same 15 clones (12 of them can be grouped into five groups according to their genotype origin) of the genus Salix, employees in the previous study. For all levels studied some significant differences were observed. But from our practical standpoint, the differences are not relevant. Finally, to validate the selected models, we calculated the percent of bias between estimated biomass (by the regression models) and real biomass obtained after the weighing of biomass, all this process was done for each clone by level of specificity.