Noise reduction using wavelet cycle spinning: analysis of useful periodicities in the z-transform domain

Cycle spinning (CS) and a'trous algorithms are different implementations of the undecimated wavelet transform (UWT). Both algorithms can be used for UWT and even though the resulting wavelet coefficients are different, they keep a correspondence. This paper describes an analysis of the CS algorithm performed in the z-transform domain, showing the similarities and differences with the a'trous implementation. CS generates more wavelet coefficients than a'trous, but the number of significative and different coefficients is the same in both cases because of the occurrence of a periodic repetition in CS coefficients. Mathematical expressions for the relationship between CS and a'trous coefficients and for CS coefficient periodicities are provided in the z-transform domain. In some wavelet denoising applications, periodicities (present in the coefficients of the CS procedure) can also be found in the performance measure of the processed signals. In particular, in ultrasonic CS denoising applications, periodicities have been appreciated in the signal-to-noise ratio (SNR) of the ultrasonic denoised signals. These periodicities can be used to optimize the number of CS coefficients for an efficient implementation. Two examples showing the periodicities in the SNR are included. A selection of several reduced sets of CS wavelet coefficients has been utilized in the examples, and the SNRs resulting after denoising are analyzed.This work was partially supported by Spanish MCI Project DPI2011-22438 and MEC Project TIN2013-47272-C2-1-R. The translation of this paper was funded by the Universitat Politecnica de Valencia, Spain.Rodríguez-Hernández, MA.; San Emeterio, JL. (2016). Noise reduction using wavelet cycle spinning: analysis of useful periodicities in the z-transform domain. Signal, Image and Video Processing. 10(3):519-526. https://doi.org/10.1007/s11760-015-0762-8S519526103Daubechies, I.: Ten Lectures on Wavelets. 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Aggregative oviposition varies with density in processionary moths-Implications for insect outbreak propensity

In gregarious insects, groups commonly originate from females laying eggs in masses and feeding groups are established as soon as larvae hatch. Some group-living insect species may aggregate beyond the individual parent level, such that offspring from two or more egg masses develop within a common resource. Here we show that aggregative oviposition can vary with population density at oviposition and possibly be an important factor in outbreak dynamics of phytophagous insects. We analysed density data with respect to egg mass aggregation for two species of pine processionary moths, Thaumetopoea pinivora (in Sweden 2005-2019) and T. pityocampa (in Spain 1973-1991). Both species lay their eggs in egg masses and feed in groups. During the study periods, insect population density for both species varied by at least an order of magnitude. The two species showed strikingly similar patterns of egg mass aggregation. Egg masses were overdispersed at high population density, with few trees showing a high load of egg masses. Our data suggest that aggregative oviposition can be important in explaining the previously documented higher propensity for outbreaks in insects laying eggs in clusters, compared with those laying individual eggs

Preparation and characterization of non-supported microfiltration membranes from aluminosilicates

In the present work non-supported microfiltration ceramic membranes have been made from different aluminosilicate paste formulations. The cast green dopes were sintered at temperatures between 1100 and 1400°C. The membrane characterisation was made by scanning electron microscopy (SEM), mercury porosimetry, gas and water permeabilities and microorganisms rejection. The results indicate that an appropriate election of the size of the particles in the paste and of the final sintering temperature allows to obtain membranes with different mechanical and structural properties, with mean pore sizes within the range from 0.1 to 1 μm, that make them suitable for microfiltration.Fil: Almandoz, M.C.. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Fisica. Laboratorio de Ciencias de Superficies y Medios Porosos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Marchese, Jose. Universidad de Valladolid; España. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Fisica. Laboratorio de Ciencias de Superficies y Medios Porosos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Prádanos, P.. Universidad de Valladolid; EspañaFil: Palacio, L.. Universidad de Valladolid; EspañaFil: Hernández, A.. Universidad de Valladolid; Españ

Skin prick test wheal detection in 3D images via convolutional neural networks

The skin prick test (SPT) is performed to diagnose different types of allergies. This medical procedure requires measuring the size of the skin wheals that appear when the test is performed. However, the manual measurement method is cumbersome and suffers from intraand inter-observer errors. Thus, multiple approaches have been developed to improve the reproducibility of the test. This work aims to improve part of the automated reading of the SPT to improve the reliability of the wheal detection procedure through the use of convolutional neural networks (CNN). Our proposal starts from the 3D images of the SPT from the arm of patients. They are processed for global surface removal, and then a CNN is trained to produce an output mask that detects the wheals. Finally, the contour of each wheal and its largest diameter is obtained. Encouraging results with mean difference 0.966 mm and mean coefficient of variation 7.29% show that the proposed method provides reliable automated skin wheal detection

Nitrate- and nitric oxide-induced plant growth in pea seedlings is linked to antioxidative metabolism and the ABA/GA balance

This study looks at the effects of potassium nitrate (KNO3) and sodium nitroprusside (SNP), a nitric oxide (NO)-donor, on the development, antioxidant defences and on the abscisic acid (ABA) and gibberellin (GA) levels inpea seedlings. Results show that 10 mM KNO3and 50μM SNP stimulate seedling fresh weight (FW), althoughthis effect is not reverted by the action of 2-4-carboxyphenyl-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide(cPTIO), a NO-scavenger.The KNO3treatment increased peroxidase (POX) and ascorbate oxidase (AOX) activities. SNP, on the otherhand, reduced monodehydroascorbate reductase (MDHAR) activity and produced a significant increase in su-peroxide dismutase (SOD), POX and AOX activities. The“KNO3plus cPTIO”treatment increased ascorbateperoxidase (APX), MDHAR, glutathione reductase (GR) and SOD activities, but POX activity decreased in re-lation to the KNO3treatment. The“SNP plus cPTIO”treatment increased APX and MDHAR activities, whereas ahuge decrease in POX activity occurred. Both the KNO3and the SNP treatments increased reduced ascorbate(ASC) concentrations, which reached control values in the presence of cPTIO. All treatments increased thedehydroascorbate (DHA) level in pea seedlings, leading to a decrease in the redox state of ascorbate. In the“KNO3plus cPTIO”treatment, an increase in the redox state of ascorbate was observed. Glutathione contents,however, were higher in the presence of SNP than in the presence of KNO3. In addition, KNO3produced anaccumulation of oxidised glutathione (GSSG), especially in the presence of cPTIO, leading to a decrease in theredox state of glutathione. The effect of SNP on reduced glutathione (GSH) levels was reverted by cPTIO, sug-gesting that NO has a direct effect on GSH biosynthesis or turnover.Both the KNO3and SNP treatments produced an increase in GA4 and a decrease in ABA concentrations, andthis effect was reverted in the presence of the NO-scavenger. Globally, the results suggest a relationship betweenantioxidant metabolism and the ABA/GA balance during early seedling growth in pea. The results also suggest arole for KNO3and NO in the modulation of GA4 and ABA levels and antioxidant metabolism in pea seedlings.Furthermore, this effect correlated with an increase in the biomass of the pea seedlingsinfo:eu-repo/semantics/acceptedVersio

Morphology and structure of ABS membranes filled with two different activated carbons

Mixed matrix-composite membranes (MMCM) for gas separation are prepared and characterized in this work. Acrylonitrile-butadiene-styrene (ABS) copolymer was used for the continuum phase of the membrane filled with two different activated carbons (AC). The so-obtained membranes have been characterized by gas permeability, optical microscopy, electronic microscopy and atomic force microscopy. The membranes have different roughness on both their surfaces but are always recovered by the polymeric material. Better ABS-AC adhesion has been always reached giving high selectivity and permeability for CO2 / CH4. Such intimate contact can be attributed to the rubber properties of the butadiene-styrene chains in ABS. The morphological characteristics and the increase in both permeability and selectivity with the volume fraction of the filler are explained in terms of the properties of pure activated carbons.Fil: Marchese, Jose. Universidad Nacional de San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Fisica. Laboratorio de Ciencias de Superficies y Medios Porosos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Anson, M.. Universidad Nacional de San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Fisica. Laboratorio de Ciencias de Superficies y Medios Porosos; ArgentinaFil: Ochoa, Nelio Ariel. Universidad Nacional de San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Fisica. Laboratorio de Ciencias de Superficies y Medios Porosos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Prádanos, P.. Universidad de Valladolid; EspañaFil: Palacio, L.. Universidad de Valladolid; EspañaFil: Hernández, A.. Universidad de Valladolid; Españ

Algorithms for the Global Domination Problem

A dominating set D in a graph G is a subset of its vertices such that every vertex of the graph which does not belong to set D is adjacent to at least one vertex from set D. A set of vertices of graph G is a global dominating set if it is a dominating set for both, graph G and its complement. The objective is to find a global dominating set with the minimum cardinality. The problem is known to be NP-hard. Neither exact nor approximation algorithm existed . We propose two exact solution methods, one of them being based on an integer linear program (ILP) formulation, three heuristic algorithms and a special purification procedure that further reduces the size of a global dominated set delivered by any of our heuristic algorithms. We show that the problem remains NP-hard for restricted types of graphs and specify some families of graphs for which the heuristics guarantee the optimality. The second exact algorithm turned out to be about twice faster than ILP for graphs with more than 230 vertices and up to 1080 vertices, which were the largest benchmark instances that were solved optimally. The heuristics were tested for the existing 2284 benchmark problem instances with up to 14000 vertices and delivered solutions for the largest instances in less than one minute. Remarkably, for about 52% of the 1000 instances with the obtained optimal solutions, at least one of the heuristics generated an optimal solution, where the average approximation error for the remaining instances was 1.07%

University-enterprises: a win-win relationship, from business to research

Teaching at University is always a difficult task because it implies too much theoretical lessons while students ask for practical knowledge and Enterprises claim for good junior professionals. Finding an equilibrium among all the interests is challenging but at the same time, it is the key of success. This work shows the experience of teaching in collaboration with companies to achieve a more practical and attractive approach to day-to-day Engineering work while meeting teaching objectives. It is a win-win relationship since it motivates students because they see the direct relationship between their studies and the future job; it also helps teachers to know the knowledge required by engineering companies and, besides, enterprises will have future engineers better trained, already familiar with process and tools. Furthermore, it also increases the collaborations between University and enterprises, which is key to innovate and develop new business modelsPostprint (published version

Body composition in breast cancer survivors in Sonorenses women

INTRODUCTION: Breast cancer is the most common type of cancer in the worldwide. In the same sense, this disease is one of the most common cancers affecting Mexican women. In the year 2014 in México, there were 11,372 new cases of breast cancer with an incidence rate of 22.56 per 100,000 in habitants older than 10 years. Women with breast cancer are often subjected to an operation due to this affectation which decreases its functionality and body composition. PURPOSE: To examine the body composition in breast cancer survivors in a sample of women from Hermosillo, Sonora, México. METHODS: This study was a cross-sectional descriptive study design. 21 women with breast cancer who had been operated on left arm and had been recruited at one university-based exercise program for breast cancer survivors in Hermosillo, Sonora, México. Body composition (BC) was measured. The right arm non-operated was considered as control. Statistical difference between the operated versus non-operated arm were determined with t-student test for independent samples. RESULTS: In the present study, body fat (1719.1 ± 456.7 vs. 1819.8 ± 467.9 grams, p ≤ 0.05), lean mass (1960.2 ± 308.7 vs. 2151.5 ± 313.5 grams, p ≤ 0.05) and total body mass (3679.3 ± 643.3 vs. 3971.1 ± 675.9 grams, p ≤ 0.05) of the left operated arm of women who breast cancer survivors were significantly lower than the mean of the right non-operated arm. CONCLUSION: Breast cancer survivors’ women who have underwent an operation on their left arm sowed a lower percentage of fat, fat mass and total mass compared to their non-operate arm. The present study underline the importance to apply rehabilitation or exercise program focused to reduce the changes in the body composition