Implementación de un módulo de red industrial basado en el estándar interface sensor actuador controlado por PLC en el Laboratorio de Automatización Industrial de la Facultad de Mecánica.

El presente trabajo tiene como objetivo la implementación de una red industrial basado en el estándar AS-i (ACTUATOR SENSOR INTERFACE) controlado por PLC para el Laboratorio de Automatización Industrial de la Facultad de Mecánica. Esta red ha sido elaborada desde su diseño con la ayuda de Solidworks y AutoCAD, que son software para modelado mecánico. Se ha seleccionado cada equipo y elemento que compone esta red siguiendo parámetros de calidad, funcionamiento, eficiencia y rendimiento, dándole condiciones para su control. Para su programación utilizamos el software TIAPORTAL. La aplicación de la red AS-interface a un proceso de selección del tipo de materiales por medio de una banda transportadora reduce hasta en un 60% el cableado, dándonos como resultado una red de comunicación más económica, eficiente, de fácil conexión e instalación, soportando cualquier topología de cableado. Los sensores se conectan al módulo de entradas y salidas, brindando la facilidad de poder identificar su dirección por medio de un instrumento denominado direccionador; logrando hacer el mantenimiento de esta red industrial en un tiempo sumamente corto. Se concluye que se ha cumplido con los objetivos planteados, además de la confiabilidad de datos en la red debido a la comunicación digital y reducción notable de cables. Se recomienda al realizar la conexión de la red, verificar que los cables que se está conectando sean los indicados para cada entrada y salida, ya que en la programación están declarado los diferentes tipos de variables de cada sensor-actuador para su respectivo esclavo.The objective of the present research is the implementation of an industrial network based on the AS-I standard (ACTUATOR SENSOR INTERFACE) controlled by a PLC for the Industrial Automation Laboratory of the Faculty of Mechanics. The network has been developed from its design with Solidworks and AutoCAD, which are software for mechanic modeling. Each equipment and element that composes the network has been selected by parameters of quality, operation, efficiency and performance, giving conditions for its control. For the programming it has been used TIAPORTAL software. The application of the AS-Interface to a material type selection process by a conveyor belt reduces up to 60% of the wiring, resulting in a more economical communication network, efficient, easy to connect and install, supporting any wiring topology. The sensors are connected to the input and output module, providing an easy way to identify its direction by an instrument called router; managing the maintenance of the industrial network in a very short period of time. It is concluded that the objectives have been fulfilled, also improving the reliability of data in the network due to the digital communication and remarkable reduction of cables. It is recommended when making the network connection, verify that the cables being connected are the indicated for each input and output, due that in the programming is declared the different types of variables of each sensor-actuator for its respective slave sensor

Acute effect of a padel match on the body composition in amateur padel players. Differences according to match result

The aim of this study was to analyze the changes in body composition and water content in amateur padel players, after a padel match. A total of 24 players (age= 36.87±8.74 years) with an experience in padel ranged between 1 and 2 years, as well as with a practice frequency of 1 to 2 times a week participated in this cross-sectional study. Body composition was assessed using electrical bioimpedance, recording data on weight, fat mass (kg and %), fat-free mass (kg and %) and body water (total, intracellular and extracellular), before and after a padel match. The results did not show signifi cant changes in any of the variables after the padel match. Furthermore, no differences were observed between winners and losers. In conclusion, a practice of padel match in novice players does not cause changes in body composition parameters, probably due to a lack of intensity

Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer types.Gerencia Regional de Salud de Castilla y León (GRS 2139/A/20); Spanish Ministry of Science, Innovation and Universities (PRE2019-089411); Instituto de Salud Carlos III (PI18/00587); Ibderdrola Spain; Junta de Castilla y León (GRS 1837/A/18). This project was funded by the Junta de Castilla y Leon, under the title project HYPERSKINCARE (Ref. GRS 1837/A/18). Lloyd Austin Courtenay is funded by the Spanish Ministry of Science, Innovation and Universities with an FPI Predoctoral Grant (Ref. PRE2019-089411) associated to project RTI2018-099850-B-I00 and the University of Salamanca. Susana Lagüela and Susana del Pozo are both funded by the Iberdrola Spain through the initiative Cátedra Iberdrola VIII Centenario of the University of Salamanca. Javier Cañueto is partially supported by the PI18/00587(Instituto de Salud Carlos III cofinanciado con fondos FEDER) and GRS 2139/A/20 (Gerencia Regional de Salud de Castilla y León

Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures

[EN] Non-melanoma skin cancer, and basal cell carcinoma in particular, is one of the most common types of cancer. Although this type of malignancy has lower metastatic rates than other types of skin cancer, its locally destructive nature and the advantages of its timely treatment make early detection vital. The combination of multispectral imaging and artificial intelligence has arisen as a powerful tool for the detection and classification of skin cancer in a non-invasive manner. The present study uses hyperspectral images to discern between healthy and basal cell carcinoma hyperspectral signatures. Upon the combined use of convolutional neural networks, with a final support vector machine activation layer, the present study reaches up to 90% accuracy, with an area under the receiver operating characteristic curve being calculated at 0.9 as well. While the results are promising, future research should build upon a dataset with a larger number of patients.SIJunta de Castilla y Leo

Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

[EN] Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer typesSIGerencia Regional de Salud de Castilla y LeónSpanish Ministry of Science, Innovation and UniversitiesInstituto de Salud Carlos IIIJunta de Castilla y Leó

Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures

Non-melanoma skin cancer, and basal cell carcinoma in particular, is one of the most common types of cancer. Although this type of malignancy has lower metastatic rates than other types of skin cancer, its locally destructive nature and the advantages of its timely treatment make early detection vital. The combination of multispectral imaging and artificial intelligence has arisen as a powerful tool for the detection and classification of skin cancer in a non-invasive manner. The present study uses hyperspectral images to discern between healthy and basal cell carcinoma hyperspectral signatures. Upon the combined use of convolutional neural networks, with a final support vector machine activation layer, the present study reaches up to 90% accuracy, with an area under the receiver operating characteristic curve being calculated at 0.9 as well. While the results are promising, future research should build upon a dataset with a larger number of patients.This project was funded by the Junta de Castilla y Leon, under the project title HYPER-SKINCARE (Ref. GRS 1837/A/18). Lloyd Austin Courtenay is funded by the Spanish Ministry of Science, Innovation and Universities with an FPI Predoctoral Grant (Ref. PRE2019-089411) associated with project RTI2018-099850-B-I00 and the University of Salamanca. Susana Lagüela and Susana Del Pozo are both funded by the University of Salamanca and Iberdrola Spain through the initiative Cátedra Iberdrola VIII Centenario of the University of Salamanca. Javier Cañueto is partially supported by PI18/00587 (Instituto de Salud Carlos III cofinanciado con fondos FEDER) and GRS 2139/A/20 (Gerencia Regional de Salud de Castilla y León).Peer reviewe

Impact of the presence of heart disease, cardiovascular medications and cardiac events on outcome in COVID-19

Background: Cardiovascular risk factors and usage of cardiovascular medication are prevalent among coronavirus disease 2019 (COVID-19) patients. Little is known about the cardiovascular implications of COVID-19. The goal herein, was to evaluate the prognostic impact of having heart disease (HD) and taking cardiovascular medications in a population diagnosed of COVID-19 who required hospitalization. Also, we studied the development of cardiovascular events during hospitalization. Methods: Consecutive patients with definitive diagnosis of COVID-19 made by a positive real time- -polymerase chain reaction of nasopharyngeal swabs who were admitted to the hospital from March 15 to April 14 were included in a retrospective registry. The association of HD with mortality and with mortality or respiratory failure were the primary and secondary objectives, respectively. Results: A total of 859 patients were included in the present analysis. Cardiovascular risk factors were related to death, particularly diabetes mellitus (hazard ratio in the multivariate analysis: 1.810 [1.159– –2.827], p = 0.009). A total of 113 (13.1%) patients had HD. The presence of HD identified a group of patients with higher mortality (35.4% vs. 18.2%, p < 0.001) but HD was not independently related to prognosis; renin–angiotensin–aldosterone system inhibitors, calcium channel blockers, diuretics and beta-blockers did not worsen prognosis. Statins were independently associated with decreased mortality (0.551 [0.329–0.921], p = 0.023). Cardiovascular events during hospitalization identified a group of patients with poor outcome (mortality 31.8% vs. 19.3% without cardiovascular events, p = 0.007). Conclusions: The presence of HD is related to higher mortality. Cardiovascular medications taken before admission are not harmful, statins being protective. The development of cardiovascular events during the course of the disease is related to poor outcome

Occurrence of SARS-CoV-2 viremia is associated with genetic variants of genes related to COVID-19 pathogenesis

IntroductionSARS-CoV-2 viral load has been related to COVID-19 severity. The main aim of this study was to evaluate the relationship between SARS-CoV-2 viremia and SNPs in genes previously studied by our group as predictors of COVID-19 severity.Materials and methodsRetrospective observational study including 340 patients hospitalized for COVID-19 in the University Hospital La Princesa between March 2020 and December 2021, with at least one viremia determination. Positive viremia was considered when viral load was above the quantifiable threshold (20 copies/ml). A total of 38 SNPs were genotyped. To study their association with viremia a multivariate logistic regression was performed.ResultsThe mean age of the studied population was 64.5 years (SD 16.6), 60.9% patients were male and 79.4% white non-Hispanic. Only 126 patients (37.1%) had at least one positive viremia. After adjustment by confounders, the presence of the minor alleles of rs2071746 (HMOX1; T/T genotype OR 9.9 p < 0.0001), rs78958998 (probably associated with SERPING1 expression; A/T genotype OR 2.3, p = 0.04 and T/T genotype OR 12.9, p < 0.0001), and rs713400 (eQTL for TMPRSS2; C/T + T/T genotype OR 1.86, p = 0.10) were associated with higher risk of viremia, whereas the minor alleles of rs11052877 (CD69; A/G genotype OR 0.5, p = 0.04 and G/G genotype OR 0.3, p = 0.01), rs2660 (OAS1; A/G genotype OR 0.6, p = 0.08), rs896 (VIPR1; T/T genotype OR 0.4, p = 0.02) and rs33980500 (TRAF3IP2; C/T + T/T genotype OR 0.3, p = 0.01) were associated with lower risk of viremia.ConclusionGenetic variants in HMOX1 (rs2071746), SERPING1 (rs78958998), TMPRSS2 (rs713400), CD69 (rs11052877), TRAF3IP2 (rs33980500), OAS1 (rs2660) and VIPR1 (rs896) could explain heterogeneity in SARS-CoV-2 viremia in our population

IL-6 serum levels predict severity and response to tocilizumab in COVID-19: An observational study

Background: Patients with coronavirus disaese 2019 (COVID-19) can develop a cytokine release syndrome that eventually leads to acute respiratory distress syndrome requiring invasive mechanical ventilation (IMV). Because IL-6 is a relevant cytokine in acute respiratory distress syndrome, the blockade of its receptor with tocilizumab (TCZ) could reduce mortality and/or morbidity in severe COVID-19. Objective: We sought to determine whether baseline IL-6 serum levels can predict the need for IMV and the response to TCZ. Methods: A retrospective observational study was performed in hospitalized patients diagnosed with COVID-19. Clinical information and laboratory findings, including IL-6 levels, were collected approximately 3 and 9 days after admission to be matched with preadministration and postadministration of TCZ. Multivariable logistic and linear regressions and survival analysis were performed depending on outcomes: need for IMV, evolution of arterial oxygen tension/fraction of inspired oxygen ratio, or mortality. Results: One hundred forty-six patients were studied, predominantly males (66%); median age was 63 years. Forty-four patients (30%) required IMV, and 58 patients (40%) received treatment with TCZ. IL-6 levels greater than 30 pg/mL was the best predictor for IMV (odds ratio, 7.1; P < .001). Early administration of TCZ was associated with improvement in oxygenation (arterial oxygen tension/fraction of inspired oxygen ratio) in patients with high IL-6 (P = .048). Patients with high IL-6 not treated with TCZ showed high mortality (hazard ratio, 4.6; P = .003), as well as those with low IL-6 treated with TCZ (hazard ratio, 3.6; P = .016). No relevant serious adverse events were observed in TCZ-treated patients. Conclusions: Baseline IL-6 greater than 30 pg/mL predicts IMV requirement in patients with COVID-19 and contributes to establish an adequate indication for TCZ administrationThis study was funded by Spanish Ministry of Economy, Industry and Competitiveness (MINECO) and Instituto de Salud Carlos III (grant nos. RD16/0011/0012 and PI18/ 0371 to I.G.A., grant no. PI19/00549 to A.A., and grant no. SAF2017-82886-R to F.S.-M.) and co-funded by the European Regional Development Fund. The study was also funded by ‘‘La Caixa Banking Foundation’’ (grant no. HR17-00016 to F.S.-M.) and ‘‘Fondos Supera COVID19’’ by Banco de Santander and CRUE. None of these sponsors have had any role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publicatio

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio