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One of the new waters, and environmentally friendly agriculture initiatives in Peru is to encourage the utilization of agricultural waste, because low agricultural output is a threat to food security there. The purpose of this research was to evaluate the effect of harvest residues on the basidiocarp production of the fungus Pleurotus Ostreatus, in Acobamba-Huancavelica. The trial had a completely randomized design, and the treatments included T1, barley stubbles; T2, wheat stubbles; T3, pea stubbles; T4, broad bean stubbles; and T5, quinoa stubbles. The research was quantitative in nature, taking the form of an experiment with an applied, explanatory level of design. The recorded data was tabulated and analyzed with analysis of variance, as well as Tukey's test (α:0.05), for which the statistical software Infostat was used. The results are presented in tables and graphs for a better interpretation. As main results, it was obtained that the time (colonization), diameter (stem, pileus), length (stem) and weight (basidiocarps), present statistical differences between treatments showing significant enhancement in all parameters. Despite a numerical difference, a Tukey average comparison test revealed that there was no statistically significant difference between the averages for the variable time for fungus colonisation, suggesting that the treatment T5 in which quinoa substrate showed the greatest average. Treatment T4 in which broad bean stubbles were used gave the most low-average. In conclusion, increment in all parámeters were noted in all treatment of Pleurotus basidiocarps ostreatus under Acobamba conditions.

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One of the new waters, and environmentally friendly agriculture initiatives in Peru is to encourage the utilization of agricultural waste, because low agricultural output is a threat to food security there. The purpose of this research was to evaluate the effect of harvest residues on the basidiocarp production of the fungus Pleurotus Ostreatus, in Acobamba-Huancavelica. The trial had a completely randomized design, and the treatments included T1, barley stubbles; T2, wheat stubbles; T3, pea stubbles; T4, broad bean stubbles; and T5, quinoa stubbles. The research was quantitative in nature, taking the form of an experiment with an applied, explanatory level of design. The recorded data was tabulated and analyzed with analysis of variance, as well as Tukey's test (α:0.05), for which the statistical software Infostat was used. The results are presented in tables and graphs for a better interpretation. As main results, it was obtained that the time (colonization), diameter (stem, pileus), length (stem) and weight (basidiocarps), present statistical differences between treatments showing significant enhancement in all parameters. Despite a numerical difference, a Tukey average comparison test revealed that there was no statistically significant difference between the averages for the variable time for fungus colonisation, suggesting that the treatment T5 in which quinoa substrate showed the greatest average. Treatment T4 in which broad bean stubbles were used gave the most low-average. In conclusion, increment in all parámeters were noted in all treatment of Pleurotus basidiocarps ostreatus under Acobamba conditions.

Uma das novas iniciativas de águas e agricultura ecológica no Peru é incentivar a utilização de resíduos agrícolas, porque a baixa produção agrícola é uma ameaça à segurança alimentar no país. O objetivo desta pesquisa foi avaliar o efeito dos resíduos da colheita na produção de basidiocarpos do fungo Pleurotus ostreatus, em Acobamba-Huancavelica. O ensaio teve um delineamento inteiramente casualizado, e os tratamentos incluíram T1, restolho de cevada; T2, soqueiras de trigo; T3, restolho de ervilha; T4, restolho de fava; e T5, restolho de quinoa. A pesquisa foi de natureza quantitativa, assumindo a forma de experimento com um nível de design aplicado e explicativo. Os dados registrados foram tabulados e analisados com análise de variância, bem como teste de Tukey (α:0,05), para o qual foi utilizado o software estatístico Infostat. Os resultados são apresentados em tabelas e gráficos para melhor interpretação. Como principais resultados, obteve-se que o tempo (colonização), diâmetro (caule, píleo), comprimento (caule) e peso (basidiocarpos) apresentam diferenças estatísticas entre os tratamentos, mostrando melhora significativa em todos os parâmetros. Apesar da diferença numérica, o teste de comparação de médias de Tukey revelou que não houve diferença estatisticamente significativa entre as médias para a variável tempo de colonização do fungo, sugerindo que o tratamento T5 em que usou o substrato quinoa, apresentou a maior média. O tratamento T4, no qual foram usadas restolhos de fava, apresentou a média mais baixa. Em conclusão, incrementos em todos os parâmetros foram observados em todos os tratamentos de Pleurotus basidiocarps ostreatus nas condições de Acobamba.

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Noninvasive mechanical ventilation is today often used to assist patient with chronic respiratory failure. One of the main reasons evoked to explain asynchrony events, discomfort, unwillingness to be treated, etc., is the occurrence of nonintentional leaks in the ventilation circuit, which are difficult to account for because they are not measured. This paper describes a solution to the problem of variable leakage estimation based on a Kalman filter driven by airflow and the pressure signals, both of which are available in the ventilation circuit. The filter was validated by showing that based on the attained leakage estimates, practically all the untriggered cycles can be explained.

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Noninvasive ventilation is a clinical procedure that enables patients with chronic respiratory failure to reduce the work of breathing and to improve blood oxygenation. In order to attain such goals, the ventilation support is expected to be phase synchronized with the patient spontaneous breathing. Unfortunately, asynchrony events are not rare. In order to provide more effective ventilation schemes, the patient-ventilator interactions should be better understood both during normal rhythm and asynchronism. This paper investigates this problem using data-driven modeling. Hence the estimation of input-output and autonomous models from pressure and airflow time series is discussed and illustrated. Issues concerning the nonlinearity of the interactions and modeling assumptions are dealt with. The results presented include models obtained from airflow and pressure measurements of a set of patients.

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The article searches for the possible presence of determinism in heart rate variability (HRV) signals by using a new approach based on NARMA (nonlinear autoregressive moving average) modeling and free-run prediction. Thirty-three 256-point HRV time series obtained from Wistar rats submitted to different autonomic blockade protocols are considered, and a collection of surrogate data sets are generated from each one of them. These surrogate sequences are assumed to be nondeterministic and therefore they may not be predictable. The original HRV time series and related surrogates are submitted to NARMA modeling and prediction. Special attention has been paid to the problem of stationarity. The results consistently show that the surrogate data sets cannot be predicted better than the trivial predictor-the mean-while most of the HRV control sequences are predictable to a certain degree. This suggests that the normal HRV signals have a deterministic signature. The HRV time series derived from the autonomic blockade segments of the experimental protocols do not show the same predictability performance, albeit the physiological interpretation is not obvious. These results have important implications to the methodology of HRV analysis, indicating that techniques from nonlinear dynamics and deterministic chaos may be applied to elicit more information about the autonomic modulation of the cardiovascular activity. (c) 2000 American Institute of Physics.

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This paper investigates the modeling and analysis of physiological data recorded from a 49-year-old male and are composed of three time series: blood oxygen saturation, heart rate and respiration. In particular, it is desired to verify if the models estimated from data can distinguish between the dynamics underlying two different breathing patterns (normal breathing and apnea). The estimated models are nonlinear autoregressive, moving average with exogenous inputs (NARMAX) and the regressors used to compose such models are carefully chosen, among hundreds of candidates, by an automatic procedure. The results discussed in this paper suggest that the dynamics underlying the data are nonlinear and basically deterministic. Using estimated models it seems to be possible to quantify the stability of the fixed point in phase space reconstructed using the blood oxygen time series. This, as discussed, could be the basis of an algorithmic monitoring system.

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