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Deep learning approach for the segmentation of aneurysmal ascending aorta
Albert Comelli,Navdeep Dahiya,Alessandro Stefano,Viviana Benfante,Giovanni Gentile,Valentina Agnese,Giuseppe M. Raffa,Michele Pilato,Anthony Yezzi,Giovanni Petrucci,Salvatore Pasta 대한의용생체공학회 2021 Biomedical Engineering Letters (BMEL) Vol.11 No.1
Diagnosis of ascending thoracic aortic aneurysm (ATAA) is based on the measurement of the maximum aortic diameter,but size is not a good predictor of the risk of adverse events. There is growing interest in the development of novel imagederivedrisk strategies to improve patient risk management towards a highly individualized level. In this study, the feasibilityand efficacy of deep learning for the automatic segmentation of ATAAs was investigated using UNet, ENet, and ERFNettechniques. Specifically, CT angiography done on 72 patients with ATAAs and different valve morphology (i.e., tricuspidaortic valve, TAV, and bicuspid aortic valve, BAV) were semi-automatically segmented with Mimics software (MaterializeNV, Leuven, Belgium), and then used for training of the tested deep learning models. The segmentation performance interms of accuracy and time inference were compared using several parameters. All deep learning models reported a dicescore higher than 88%, suggesting a good agreement between predicted and manual ATAA segmentation. We found that theENet and UNet are more accurate than ERFNet, with the ENet much faster than UNet. This study demonstrated that deeplearning models can rapidly segment and quantify the 3D geometry of ATAAs with high accuracy, thereby facilitating theexpansion into clinical workflow of personalized approach to the management of patients with ATAAs.
Feasibility of Bioethanol Production from Cider Waste
( Lisandro G. Seluy ),( Raul N. Comelli ),( Maria T. Benzzo ),( Miguel A. Isla ) 한국미생물생명공학회(구 한국산업미생물학회) 2018 Journal of microbiology and biotechnology Vol.28 No.9
Wastewater from cider factories (losses during transfers, products discarded due to quality policies, and products returned from the market) exhibits a Chemical Oxygen Demand greater than 170,000 mg O<sub>2</sub>/l, mainly due to the ethanol content and carbohydrates that are added to obtain the finished product. These effluents can represent up to 10% of the volume of cider produced, and they must be treated to meet environmental regulations. In this work, a process was developed, based on alcoholic fermentation of the available carbohydrates present in ciders. The impact of inhibitors at different pH, size and reuse of inoculums and different nutrient supplementation on the ethanol yield were evaluated. The use of a 0.5 g/l yeast inoculum and corn steep water as the nutrient source allowed for depletion of the sugars in less than 48 h, which increased the content of ethanol to more than 70 g/l.
Welchen, Elina,Viola, Ivana L.,Kim, Hye Jin,Prendes, Luciana P.,Comelli, Raú,l N.,Hong, Jong Chan,Gonzalez, Daniel H. Oxford University Press 2009 Journal of experimental botany Vol.60 No.3
<P>Sequences required for the expression of Cytc-2 (At4g10040), one of two cytochrome c genes from Arabidopsis thaliana, were characterized using plants transformed with deleted and mutagenized promoter fragments fused to gus. These studies indicated that a region containing a G-box and an ACGT motif is essential for expression. Mutation of the ACGT motif causes a complete loss of expression, while mutation of the G-box causes decreased expression in aerial parts and abolishes expression in roots and induction by environmental factors. Upstream located site II elements are required for maximal expression, mainly in reproductive tissues, and maximal induction by different factors. One-hybrid screenings allowed the identification of transcription factors from the bZIP and bHLH families that interact mainly with the G-box. Four of these factors were able to bind to the Cytc-2 promoter in vitro and in transactivation assays in Arabidopsis. Analysis of available microarray data indicated that the bZIP transcription factors share expression characteristics with the Cytc-2 gene, suggesting that they act as mediators of its response to tissue-specific, environmental, and metabolic conditions. Site II elements interact with a TCP family protein and may co-ordinate the expression of the Cytc-2 gene with that of other respiratory chain components. A model is proposed for the evolution of the Cytc-2 gene through the incorporation of a segment containing a G-box and an ACGT motif into an ancestral gene that contained site II elements. This may have reduced the importance of site II elements for basal expression and conferred new responses to environmental factors.</P>