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Faced with the uncertainty of whether the vaccines against Covid-19 are effective or not and faced with living or dying, it is important to know the perception and expectation of their acceptance. The main aim of the study to analyze the perception and expectation of the vaccine against Covid- 19 that South American families have in an urban area of De Pasco. Descriptive, cross-sectional study, simple random sampling of 197 families. The participants were recruited digitally through a neighborhood leadership and an online survey was applied with prior consent. The logistic regression analysis was performed in EPIDAT 4.1 with a significance level of 5%. Regarding the desire to be vaccinated, it is worth noting that a family member died from the coronavirus, hence the health personnel must continue with the preventive promotional work of vaccination in order to obtain favorable results in the entire population. The majority (100%) have a favorable perception and expectation about the vaccine against Covid- 19 ( X c 2 =132.83) and the p-value (0.00); As regards the desire to be vaccinated, it is worth noting having had a family member die from the coronavirus, hence the health personnel must continue with the preventive promotional work of vaccination in order to obtain favorable results in the entire population.

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Resumen: Las redes neuronales artificiales (RNA) son un método computacional extensamente utilizado para resolver problemas complejos y realizar predicciones en sistemas de relación no lineal. En este trabajo se utilizaron RNA para predecir la respuesta fisiológica obtenida al adicionar una concentración específica de digoxina a corazones de Tivela stultorum, un organismo modelo para probar fármacos cardíacos que se pretenden utilizar en humanos. Las entradas de la RNA fueron el peso, volumen, largo y ancho del corazón, la concentración de digoxina, el volumen utilizado para la dilución de digoxina, el máximo y mínimo de contracción, tiempo de llenado, y frecuencia cardíaca antes de adicionar la digoxina, las salidas fueron el máximo y mínimo de contracción, tiempo de llenado y frecuencia cardíaca esperados después de agregar digoxina al corazón. Las RNA se entrenaron, validaron y probaron con los resultados de experimentos in vivo. Para elegir la red óptima se utilizó el valor más pequeño del error medio cuadrado. Se obtuvo una correlación alta entre los valores predichos y calculados, excepto en el caso del tiempo de llenado. Se lograron obtener predicciones acertadas de la cardioactividad de la almeja T. stultorum cuando se les agrega una concentración específica de digoxina haciendo uso de RNA; esto con el fin de utilizarse como una herramienta para facilitar las pruebas en el laboratorio de los efectos de la digoxina.

Abstract: Artificial neural networks (ANN) are a computational method that has been widely used to solve complex problems and carry out predictions on nonlinear systems. Multilayer perceptron artificial neural networks were used to predict the physiological response that would be obtained by adding a specific concentration of digoxin to Tivela stultorum hearts, this organism is a model for testing cardiac drugs that pretends to be used in humans. The MLP-ANN inputs were weight, volume, length, and width of the heart, digoxin concentration and volume used for diluting digoxin, and maximum contraction, minimum contraction, filling time, and heart rate before adding digoxin, and the outputs were the maximum contraction, minimum contraction, filling time, and heart rate that would be obtained after adding digoxin to the heart. ANNs were trained, validated, and tested with the results obtained from the in vivo experiments. To choose the optimal network, the smallest square mean error value was used. Perceptrons obtained a high performance and correlation between predicted and calculated values, except in the case of the filling time output. Accurate predictions of the T. stultorum clams cardioactivity were obtained when a specific concentration of digoxin was added using ANNs with one hidden layer; this could be useful as a tool to facilitate laboratory experiments to test digoxin effects.

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The reproductive physiology of Corynorhinus mexicanus includes a testes growth-involution cycle. Testis recrudescence begins in May-June, peaks in August and then undergoes a profound involution being totally regressed in November. Adult, male individuals were captured monthly during one year and ROS scavenging enzyme activities were measured in testes and expressed per total wet-weight and per mg protein. SOD total activity is very low from October to February; increases sharply one full month before testes recrudescence starts, and in August, when testis activity was at its peak, SOD is 3-4 times lower than in July. Catalase total activity is bimodal. The main peak of activity occurs during testicular recrudescence with an additional smaller peak, two months before the onset of recrudescence. Glutathione peroxidase total activity parallels almost exactly the testis growth cycle, increases in July, reaches a peak in August and decreases through September to almost disappear in October. SOD specific activity shows a pre-testicular increase of activity, maintains its activity from March to July and then descends drastically to almost nil in August, maintaining these low values until February. Catalase specific activity is particularly important during the period of testicular regression. GPX specific activity is low from March to July, months of testicular recrudescence; whereas its activity increases in August and peaks in November, when testes regression occurs. Our data show that ROS-scavenging enzymes may play a very important role during testes involution-recrudescence in C. mexicanus, and we believe their participation could be equally important in all seasonally breeding mammals.

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In this study, starch metabolites and enzymes were determined during starch-based plastic polymer biodegradation by the white rot fungus Phanerochaete chrysosporium, grown in sugarcane bagasse pith in tubular reactors. Various metabolites, amylase, ligninase and cellulase production were measured during P. chrysosporium growth on sugarcane bagasse pith with added glucose and starch polymer. On-line respirometric analyses followed during 32 days confirmed the P. chrysosporium capability of growing on sugarcane bagasse pith with starch polymer degradation. Enzyme activity during secondary metabolism increased, and a 70% and 74% starch degradation was reached with and without glucose addition, generating low molecular weight metabolites (e.g.) dextrin, maltotriose, maltose and glucose that were detected by high performance liquid chromatography.

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We studied 13 patients with acute attacks of asthma to test the hypothesis that magnitude of dyspnea at rest correlates well with spirometry and with breath-holding time. Dyspnea ("falta de aire" in Spanish) was quantitated with a linear numerical scale from 0 to 10. We measured breath-holding time, breathing frequency (f), and FEV1 and FVC both expressed as percent of normal. Measurements were done on the patient's arrival and were repeated 3 to 6 times until dyspnea at rest disappeared or was minimal. Dyspnea magnitude, f, and breath-holding time correlated well with FEV1% and FVC% (r between 0.65 and 0.78), and better with changes in FEV1% and FVC% with respect to initial values (delta FEV1 y delta FVC; r between 0.80 and 0.89). Breath-holding time and f changed in proportion to magnitude of dyspnea (r = -0.85 and 0.87 respectively). Regression equations were: dyspnea = 6.34 -0.16 (delta FEV1) r = 0.80, and dyspnea = 7.82-0.105 (FEV1%) r = 0.62. Using multiple regression we improved prediction of FEV1% with easily obtained variables (R = 0.76). These results suggest that: 1) magnitude of dysnea, f, and breath-holding time correlate with severity of airflow obstruction in acute asthma attacks associated with dyspnea at rest; and 2) breath-holding time varies inversely with dyspnea magnitude when it is present at rest.

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En un estudio previo se encontró en las familias de los niños con anemia aplástica, predominio de hogares no integrados, pobreza y alimentación deficiente, por lo que se planteó confirmar o rechazar estos hallazgos mediante un muestro más adecuado, de las familias testigo. Por cada paciente que ingresó al hospital con anemia aplástica, se eligió uno por azar que hubiera ingresado al mismo tiempo, con otro diagnóstico y que comparable en cuanto a sexo y edad. Se explicó a las dos familias el objeto del estudio y los autores investigaron en las dos, características de residencias respectivas, de los padres y de su unión, de la alimentación y de los enfermos desde el punto de vista nutricional. Se estudiaron 30 familias de cada grupo y en los de anemia aplástica se encontró predominio significativo de: residencia proletaria en área no urbana; ausencia de drenaje y de baño individual; fecalismo y convivencia con animales; padres analfabetos; padres que trabajan como campesinos o albañiles; ingestión deficiente de carne, leche, huevo, plátano, naranja, otras frutas y verduras; retraso en la edad ósea y albúmina sérica baja; calificaciones inferiores a 8 y frecuencia de reprobados (paciente y hermanos) y exposición a agentes químicos. Estos datos sugieren que la anemia aplástica en México tiene una etiología multifactorial

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