Solid phase microextraction as a short-term sampling technique for BTEX occupational exposure

Solid phase microextraction (SPME) has been widely used for many years in various applications, such as environmental and water samples, food and fragrance analysis, or biological fluids. The aim of this study was to suggest the SPME method as an alternative to conventional techniques used in the evaluation of worker exposure to benzene, toluene, ethylbenzene, and xylene (BTEX). Polymethylsiloxane-carboxen (PDMS/CAR) showed as the most effective stationary phase material for sorbing BTEX among other materials (polyacrylate, PDMS, PDMS/divinylbenzene, Carbowax/divinylbenzene). Various experimental conditions were studied to apply SPME to BTEX quantitation in field situations. The uptake rate of the selected fiber (75 microm PDMS/CAR) was determined for each analyte at various concentrations, relative humidities, and airflow velocities from static (calm air) to dynamic (> 200 cm/s) conditions. The SPME method also was compared with the National Institute of Occupational Safety and Health method 1501. Unlike the latter, the SPME approach fulfills the new requirement for the threshold limit value-short term exposure limit (TLV-STEL) of 2.5 ppm for benzene (8 mg/m(3))

Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling

An active learning method is proposed for the semi-automatic selection of training sets in remote sensing image classification. The method adds iteratively to the current training set the unlabeled pixels for which the prediction of an ensemble of classifiers based on bagged training sets show maximum entropy. This way, the algorithm selects the pixels that are the most uncertain and that will improve the model if added in the training set. The user is asked to label such pixels at each iteration. Experiments using support vector machines (SVM) on an 8 classes QuickBird image show the excellent performances of the methods, that equals accuracies of both a model trained with ten times more pixels and a model whose training set has been built using a state-of-the-art SVM specific active learning method

Imatges i paraules : poesia visual catalana a la primera avantguarda

Es pregunta pels trets característics de la poesia visual de la primera avantguarda, els que resten fidels a la inspiració europea i els que sorgeixen com a resposta particular mediatitzada per unes determinades condicions socioculturals, i de quina manera aquests trets prenen cos en la producció poètica.

Librería visual adaptativa para integrar servicios de un touroperador en plataformas web

La innovación abierta (Open innovation) se presenta como una oportunidad para combinar los conocimientos internos de la venta de servicios vacacionales combinado con los conocimientos de tecnologías innovadoras. El desarrollo de una librería visual adaptativa pretende ser una solución a la tendencia de cambio actual y a las dificultades de integración de los servicios vacacionales. En el transcurso del proyecto se desarrolla un marco de trabajo que permita cumplir los objetivos marcados para la librería.

Comparison between splenic and lymph node aspirations as sampling methods for the parasitological detection of Leishmania chagasi infection in dogs

The sensitivities of spleen and lymph node cultures for the diagnosis of canine visceral leishmaniasis were compared in 64 anti-Leishmania antibody positive dogs from an endemic area in Brazil. The sensitivity of spleen cultures for Leishmania detection was 97.9%; in lymph node cultures it was 25%. Positive spleen culture was more frequent (p = 0.048, Fisher's exact probability test) in symptomatic (28 out of 33 animals) than in asymptomatic animals (19 out of 31 animals). These results support the use of spleen instead of lymph node aspiration as the choice method for the parasitological diagnosis of the infection.

Gestió de factures electròniques amb .NET (Visual Studio Tools for Office)

Creació d¿un software de gestió de factures electròniques desenvolupat en aquesta plataforma tecnològica, amb indicació expressa d¿utilització de les eines VSTO (Visual Studio Tools for Office) en la seva última versió.

Visual Management Vinotec V.1.0

El projecte amb nom clau Visual Management Vinotec neix de la necessitat d'administrar i gestionar el catàleg de productes d'una empresa que es dedica a la distribució de licors espirituosos (conyacs i whiskies), generesos (Jerez), vins i caves. Es tracta d'una eina web destinada als professionals del món dels destil·lats i del món vinícola.

Traceroute Visual : Geolocalización IP

Aquest document desenvolupa la realització d'un

A system to evaluate the accuracy of a visual mosaicking methodology

When underwater vehicles navigate close to the ocean floor, computer vision techniques can be applied to obtain motion estimates. A complete system to create visual mosaics of the seabed is described in this paper. Unfortunately, the accuracy of the constructed mosaic is difficult to evaluate. The use of a laboratory setup to obtain an accurate error measurement is proposed. The system consists on a robot arm carrying a downward looking camera. A pattern formed by a white background and a matrix of black dots uniformly distributed along the surveyed scene is used to find the exact image registration parameters. When the robot executes a trajectory (simulating the motion of a submersible), an image sequence is acquired by the camera. The estimated motion computed from the encoders of the robot is refined by detecting, to subpixel accuracy, the black dots of the image sequence, and computing the 2D projective transform which relates two consecutive images. The pattern is then substituted by a poster of the sea floor and the trajectory is executed again, acquiring the image sequence used to test the accuracy of the mosaicking system