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Epithelial-mesenchymal transition (EMT) is a complex biological program between physiology and pathology. Here, amniotic epithelial cells (AEC) were used as in vitro model of transiently inducible EMT in order to evaluate the transcriptional insights underlying this process. Therefore, RNA-seq was used to identify the differentially expressed genes and enrichment analyses were carried out to assess the intracellular pathways involved. As a result, molecules exclusively expressed in AEC that experienced EMT (GSTA1-1 and GSTM3) or when this process is inhibited (KLHL14 and KCNE3) were identified. Lastly, the network theory was used to obtain a computational model able to recognize putative controller genes involved in the induction and in the prevention of EMT. The results suggested an opposite role of lysophosphatidic acid (LPA) synthesis and degradation enzymes in the regulation of EMT process. In conclusion, these molecules may represent novel EMT regulators and also targets for developing new therapeutic strategies.

Mycoplasma mycoides subsp. mycoides is the etiological agent of contagious bovine pleuropneumonia (CBPP). While several findings on CBPP prevalence in Nigeria were documented, no data were reported about the genomic characterization of Nigerian M. mycoides subsp. mycoides strains. Here, we present the draft genome sequences of two novel M. mycoides subsp. mycoides strains isolated in Nigeria.

Mycoplasma mycoides subsp. mycoides is the etiological agent of contagious bovine pleuropneumonia (CBPP). While several findings on CBPP prevalence in Nigeria were documented, no data were reported about the genomic characterization of Nigerian M. mycoides subsp. mycoides strains. Here, we present the draft genome sequences of two novel M. mycoides subsp. mycoides strains isolated in Nigeria.

Environmental Protection Agency Method 325 was developed for continuous passive monitoring of volatile organic compounds (VOCs), particularly benzene, at petroleum refinery fencelines. In this work, a modified version of the method was evaluated at an Ontario near-road research station in winter to assess its suitability for urban air quality monitoring. Samples were collected at 24 hour and 14 day resolution to investigate accuracy for different exposure times. Tubes were analyzed by thermal desorption-gas chromatography-mass spectrometry, and 11 VOCs were quantified, including aromatic air toxics. The same VOCs were simultaneously monitored using traditional canister sampling for comparison, and a subset of four were also monitored using a novel miniature gas chromatograph. Good agreement (within 10%) was observed between the 14 day passive tube samples and the canister samples for benzene. However, field-calibrated uptake rates were required to correct passive tube concentrations for less volatile aromatics. Passive tube deployment and analysis is inexpensive; sampling does not require power, and accurate measurements of benzene are demonstrated here for an urban environment. The method is expected to be advantageous for the generation of long-term continuous benzene datasets suitable for epidemiological research with greater spatial coverage than is currently available using traditional monitoring techniques.

Six heavy metals - Mn, Fe, Cu, Zn, Se, and Pb among other elemental species were monitored in ambient PM2.5 at three near-road ambient air monitoring locations in the Greater Toronto and Hamilton Area (GTHA) with semi-continuous X-ray fluorescence (XRF) instrumentation over a period spanning January 1st, 2014 to June 30th, 2017. Land use in these air monitoring locations includes residential, institutional and industrial, thus, air monitoring is representative of typical urban areas. Ambient metal concentrations were found below Ontario's ambient air quality criteria. Temporal trends however indicated that high concentrations of Fe and Cu correlated with peak commuting and working hours on weekdays. To further understand the potential sources of these metals, scatterplots of metal concentrations and criteria pollutant gases were made on weekdays and weekends. These scatterplots reveal edges that are due to multiple sources of these metals. When these scatterplots are colour-coded by the hour of day, edges associated with the morning rush hour on weekdays for Fe and Cu (also Mn and Zn to a lesser extent) likely due to traffic-related emissions are more clearly-delineated from other edges arising from industrial or regional sources that were prevalent during other times of the day. Finally, an auxiliary receptor model was used to explore the potential source regions of these metals. It was observed that Mn, Fe and Cu had intense potential source regions within the GTHA on weekdays that diminished on the weekends, and in the case of Fe, the potential source regions in the GTHA were sensitive to the morning rush hour period, indicating that traffic-related emissions are a major source of Fe. Other metals, especially Zn, Se and Pb have source regions that are less sensitive to the morning rush hour period and are usually situated outside the GTHA. Keywords: Heavy metals, Near-road, Non-parametric statistics, PM2.5, sQTBA

This paper develops the concept, design and implementation of a pressure measurement system for endotracheal intubated patients. The system was tested both in laboratory and in a hospital environment during normal operating conditions. Sensing blocks are part of a hospital sensor network, which aims to acquire as many variables per patient as required by medical personnel. The system was developed by the Electronic and Electromecatronics Systems Research Group (GISEE) of the Universidad Nacional del Sur. This work describes the conception, design, system development and the finished product accomplished.

This paper presents a VLSI Convolutional Neural Network with special features to implement the Vanishing Point algorithm. The architecture is based on a multi-scale array, with one column processor that implements a neural network with local connectivity, a row processor of SIMD elements that can implement generic convolution and a voting mechanism, which is used by the Vanishing Point algorithm. In addition, a 32-bit 7 pipeline-stage has been designed to sequence all the operations. Simulations of the architecture described in a Hardware description language are shown.

In this paper we present a vanishing point algorithm variation oriented to a VLSI ASIC. We proposed a simplified voting process and analyze the minimum resolution that can be used for the input image and the filter kernels in order to obtain a good performance.

This paper presents the first fully functional fine-grain 3D vertically integrated focal plane system processor, implemented in the 3D interconnection technology of Tezzaron Semiconductors. The processor consists of an array of cells, auxiliar structures and general purpose blocks. The chip can acquire video and apply a series of image processing tasks to each frame employing local computation among cells. The chip has been successfully tested at 50Mhz.

Experimental results of an integrated circuit implementing a simplicial cellular nonlinear network digital pixel processor are presented. The prototype has a 7 times 6 cells array, and works as expected at a testing clock speed of 10 MHz.