Disposición plasmática y residuos tisulares de marbofloxacina en truchas arco iris (oncorhynchus mykiss) en condiciones estivales e invernales. Plasmatic disposition and tissue residues of marbofloxacin in rainbow trouts (oncorhynchus mykiss) in summer and winter conditions

Los sistemas intensivos de producción, predisponen en los peces a la presentación de diversas enfermedades, lo que demanda el empleo de antimicrobianos para mantener la salud de los lotes de cultivo. En tal sentido es importante contar con información local en cuanto al comportamiento cinético a los efectos de determinar una adecuada dosificación de los antimicrobianos empleados y con esta información, establecer los periodos de resguardo necesarios para evitar la presencia violativa de estos fármacos en el animal destinado a consumo humano. En el presente proyecto se propone efectuar un estudio farmacocinético de concentraciones plasmáticas y tisulares alcanzadas y establecer los periodos de resguardo para marbofloxacina, antimicrobiano del cual no se tienen antecedentes regionales en cuanto a su disposición a diferentes temperaturas como las que condicionan las estaciones de verano e invierno, de marcada variación en la provincia, modificando la actividad metabólica de los peces. La concreción de este proyecto permitirá entregar conocimientos concretos y de aplicación directa en la cría intensiva de la trucha arco iris (Oncorhynchus mykiss) en diferentes condiciones ambientales, al contarse con la información necesaria para una adecuada dosificación y periodos de resguardo necesarios para evitar el residuo de este fármaco. Además, permitirá consolidar una línea de investigación dentro de la acuicultura muy poco desarrollada actualmente en el país. Intensive production systems predispose fishes to diverse diseases, which demands antimicrobial use for health maintenance in the lots of culture. In such sense it is important to have local information of the kinetic behavior to determine a suitable dosing of the antimicrobials employed, and on this information, to establish withdrawal periods to avoid the violative presence of these drugs in animals for human consumption. The present project will carry out a pharmacokinetic study of plasmatic and tissue concentrations to establish the withdrawal period for marbofloxacin, being known that temperature, modify the metabolic activity of the fish, and there are no local antecedents of disposition at different temperatures in summer and winter for this antimicrobial. The concretion of this project will allow to give concrete knowledge of direct application in intensive production of rainbow trout (Oncorhynchus mykiss), in different environmental conditions, counting with the necessary information for a suitable dosification and withdrawal periods to avoid residues of this drug. In addition, it will allow to consolidate an investigation line in acuiculture, not much developed in our country.

Development of a data acquisition system to characterise sustainable energy technologies and to support Web-Based learning (DAQ-WBL)

Driven by concerns about rising energy costs, security of supply and climate change a new wave of Sustainable Energy Technologies (SET’s) have been embraced by the Irish consumer. Such systems as solar collectors, heat pumps and biomass boilers have become common due to government backed financial incentives and revisions of the building regulations. However, there is a deficit of knowledge and understanding of how these technologies operate and perform under Ireland’s maritime climate. This AQ-WBL project was designed to address both these needs by developing a Data Acquisition (DAQ) system to monitor the performance of such technologies and a web-based learning environment to disseminate performance characteristics and supplementary information about these systems. A DAQ system consisting of 108 sensors was developed as part of Galway-Mayo Institute of Technology’s (GMIT’s) Centre for the Integration of Sustainable EnergyTechnologies (CiSET) in an effort to benchmark the performance of solar thermal collectors and Ground Source Heat Pumps (GSHP’s) under Irish maritime climate, research new methods of integrating these systems within the built environment and raise awareness of SET’s. It has operated reliably for over 2 years and has acquired over 25 million data points. Raising awareness of these SET’s is carried out through the dissemination of the performance data through an online learning environment. A learning environment was created to provide different user groups with a basic understanding of a SET’s with the support of performance data, through a novel 5 step learning process and two examples were developed for the solar thermal collectors and the weather station which can be viewed at http://www.kdp 1 .aquaculture.ie/index.aspx. This online learning environment has been demonstrated to and well received by different groups of GMIT’s undergraduate students and plans have been made to develop it further to support education, awareness, research and regional development.

Development of a semi-automatic self learning pattern recognition system for the control of electronic boards

This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.