949 resultados para Bio-bibliography.


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In this paper, we describe our current work on bio-inspired locomotion systems using a deformable structure and smart materials, concretely Shape Memory Alloys, exploring the possibility of building motor-less and gear-less robots. A swimming underwater robot has been developed whose movements are generated using such actuators, used for bending the backbone of the fish, which in turn causes a change on the curvature of the body. This paper focuses on how standard swimming patterns can be reproduced with the proposed design, using an actuation dynamics model identified in prior work.

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A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

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El suelo es un importante recurso natural que necesita ser preservado y mejorado para permitirle mantener su calidad y capacidad productiva, para ello se deben proponer y aplicar prácticas sostenibles que permitan recuperar aquellos suelos degradados por un mal manejo del hombre, como por ejemplo la salinización. El objetivo planteado fue evaluar la biorecuperación de un suelo con problemas salino-sódico con la aplicación de dos proporciones (1,5 y 3% (p/p)) de tres enmiendas orgánicas: compost, vermicompost sólido y Lemna mesclados o no con el 100% de los requerimientos de fosfoyeso, generándose 15 tratamientos (incluyendo tres controles). La evaluación se realizó a través de tres ensayos: 1. Columnas simuladas de suelo. 2. Evolución de CO2 y 3. Crecimiento de plántulas de tomate. El suelo objeto de estudio está clasificado my como Fluventic Haplustepts, y fue tomado de una zona de la Hacienda Alto Viento, con una latitud de 10° 2' 15 N y una longitud de 72 ° 34' 15 W, en el estado de Zulia – Venezuela. Se tomó una muestra compuesta por 20 submuestras de 20 cm de profundidad del área problema, se secó al aire (2,3% de humedad), se tamizó y homogenizó. El suelo y las enmiendas orgánicas fueron caracterizadas. Los materiales orgánicos; compost y vermicompost fueron procesados en la misma Hacienda con el uso de estiércol de ganado bovino; la Lemna fue recolectada de orillas del Lago de Maracaibo en la ciudad de Maracaibo. El suelo se mezcló a las proporciones indicadas se le midió respiración basal y el efecto sobre la germinación de semillas de tomate y se empaquetó en un tubo de polietileno de 7,1 cm de diámetro y 70 a 90 cm de longitud, según la altura de la mezcla del suelo con la enmienda. El fondo de cada columna fue rellenado con 40 cm de arena lavada para facilitar el drenaje. En cada columna se utilizó la misma cantidad de suelo (1055 mg), la altura que ocupó dentro de las columnas dependió del tipo de enmienda orgánica y su proporción, la cual modificó la Da del suelo (1,328±0,05 g•cm-3). La altura dentro de la columna varió desde 20 cm para el suelo sin enmienda hasta 38,33±0,8 cm para el suelo enmendado con Lemna al 3,0%. Transcurrido el periodo de tres meses tiempo en el cual el suelo enmendado y colocado en las columnas fue lavado con una cantidad de agua que equivalente a la tasa de infiltración, la cual se calculó a partir de la precipitación anual de la zona y las perdidas por evaporación y escorrentía; se fraccionó en tres secciones de 7, 7 y 6 cm de longitud, y el suelo de cada fracción se secó al aire y se tamizó, y se le midió CEextr, pH, cationes en solución y cationes extraíbles para calcular el RAS y el PSI. Se tomó una cantidad equivalente de cada sección para conformar una muestra de 50 g de suelos a los cuales se le midió respiración basal e igualmente se tomó suelo para evaluar la germinación y crecimiento de plántulas de tomate. Se detectaron diferencias significativa (p<0,05) entre tratamientos, según la prueba de Tukey, para la variables evaluadas, aunque no hubo diferencias entre las proporciones ni entre la utilización del fosfoyeso mezclado con las enmiendas orgánicas. La enmienda que mostró menos potencial en la bio remediación fue la Lemna por sus altos contenidos de Na+. La metodología de las columnas simuladas del suelo, bajo las condiciones de estudio, no fue del todo adecuada para evaluar la bio remediación debido que en el suelo control por efecto de la aplicación de agua también hubo recuperación del mismo por su disminución en el la CE, RAS y PSI y en algunas variables su recuperación fue mayor que en aquellos enmendados con Lemna. Tomando en la respuesta del cultivo la mejor enmienda fue el vermicompost Abstract The soil is an important natural resource that needs to be preserved and improved to maintain its quality and production potential. Therefore, it is necessary to propose and apply sustainable practices that permit the recovery of soils that have been degraded by inadequate management, among these saline soils. The objective of this study was to evaluate the bioremediation of a saline-sodic soil through the application of two proportions (1,5 and 3% (p/p) of three organic amendments: compost, vermicompost and Lemna, mixed or not with gypsum phosphate, resulting in 15 treatments (including 3 controls). The evaluation was conducted through three tests: 1. Simulated soil columns. 2. Evolution of CO2 and 3. Growth of tomato seedlings The soil under evaluation was classified as Fluventic Haplustepts and was collected from the Alto Viento farm located at 10° 2' 15 North Latitude and 72° 34' 15 West longitude, in Zulia State, Venezuela. A composite soil sample, integrated of 20 subsamples taken to a depth of 20 cm collected in the problem area, was air dried (2.3 % moisture), sieved and homogenized. Soil and organic amendments were characterized. Organic material for the compost and vermicompost were obtained on the farm using cattle manure, whereas the Lemna was collected from the shores of Lake Maracaibo outside Maracaibo city. The soil was mixed in the above-mentioned proportions and its baseline respiration rate and effect on the germination of tomato seeds were recorded. Soil was packed in a PVC pipe (7,1 cm diameter and 70-90 cm length) to simulate a soil column. The bottom of each column was filled out with 40 cm of washed sand to facilitate drainage. The same amount of soil was used in each column (1,055 mg), but the height of the column varied according to the organic amendment and its proportion, which modified the apparent density of the soil (1,328±0,05 g•cm-3). The height of each column varied from 20 cm for the soil without amendment to 38,33±0,8 cm for the soil with 3% Lemna. After three months, the soil was treated with water (using the equivalent of the problem area infiltration rate), and was divided into three sections (7, 7 and 6 cm length). The soil from each section was air dried, sieved and its cationic exchange capacity, pH, cation solutions and extractable cations were measured to estimate RAS and PSI. An equivalent portion of each section was collected to compose a 50 g soil sample, and baseline respiration rate and tomato seedlings growth were recorded. Statistical differences (p<0,05) were observed among treatments for the variables under evaluation. Tukey test showed no differences among the proportions of organic amendments nor with the addition of gypsum phosphate to the organic amendments. The amendment which showed the lowest bioremediation potential was the Lemna, as a result of its high Na+ concentration. Under the conditions of this study, the soil column methodology used showed limitations to evaluate bioremediation because the control soil column, after being rinsed with water, also showed improvements as CE, RAS and PSI values were reduced. For some variables, the improvement noted in the control soil column surpassed those obtained with the soil amended with Lemna. Based on the best crop response amendment was vermicompost 3%.

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Este trabajo realiza un estudio de los métodos de locomoción utilizados por diversas familias de animales ápodos, haciendo énfasis en el aspecto bio-mecánico. Dichos métodos se clasifican en tres grupos: arrastre con dos puntos de Apoyo, movimiento peristáltico, y Ondulación Lateral. Para cada forma de locomoción se realiza un estudio cinemático y de su posible aplicación en robótica. Finalmente se presentan implementaciones de dichos métodos tanto en simulación como en robots reales.

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In previous works we demonstrated the benefits of using micro–nano patterning materials to be used as bio-photonic sensing cells (BICELLs), referred as micro–nano photonic structures having immobilized bioreceptors on its surface with the capability of recognizing the molecular binding by optical transduction. Gestrinone/anti-gestrinone and BSA/anti-BSA pairs were proven under different optical configurations to experimentally validate the biosensing capability of these bio-sensitive photonic architectures. Moreover, Three-Dimensional Finite Difference Time Domain (FDTD) models were employed for simulating the optical response of these structures. For this article, we have developed an effective analytical simulation methodology capable of simulating complex biophotonic sensing architectures. This simulation method has been tested and compared with previous experimental results and FDTD models. Moreover, this effective simulation methodology can be used for efficiently design and optimize any structure as BICELL. In particular for this article, six different BICELL's types have been optimized. To carry out this optimization we have considered three figures of merit: optical sensitivity, Q-factor and signal amplitude. The final objective of this paper is not only validating a suitable and efficient optical simulation methodology but also demonstrating the capability of this method for analyzing the performance of a given number of BICELLs for label-free biosensing.

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One of the major problems related to cancer treatment is its recurrence. Without knowing in advance how likely the cancer will relapse, clinical practice usually recommends adjuvant treatments that have strong side effects. A way to optimize treatments is to predict the recurrence probability by analyzing a set of bio-markers. The NeoMark European project has identified a set of preliminary bio-markers for the case of oral cancer by collecting a large series of data from genomic, imaging, and clinical evidence. This heterogeneous set of data needs a proper representation in order to be stored, computed, and communicated efficiently. Ontologies are often considered the proper mean to integrate biomedical data, for their high level of formality and for the need of interoperable, universally accepted models. This paper presents the NeoMark system and how an ontology has been designed to integrate all its heterogeneous data. The system has been validated in a pilot in which data will populate the ontology and will be made public for further research.