Possible effects of different types of agricultural wastes on food security and mushroom (Pleurotus ostreatus) production.

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.

Patients' contribution to drug safety in Catalonia: the interest of personal feelings on adverse drug reactions.

PURPOSE: There are few studies on the personal view retrieved by patients in the spontaneous reports' free-text section of suspected adverse drug reactions. METHODS: We analysed the suspected adverse drug reactions (ADRs) spontaneous reports sent to the Catalan Centre of Pharmacovigilance between 2013 and 2017. The information provided in the free-text section was classified as (1) temporal sequence, (2) description of symptoms, (3) description of psychological impact, (4) withdrawal effects, (5) alternative causes, and (6) rechallenge. The concordance level between the perceived severity by the reporter and the pharmacovigilance team was assessed by the Kappa index (ƙ). Usual descriptive statistics were used to describe variables. RESULTS: Nationally, 190 spontaneous reports described 383 ADRs, which 28.6% were unknown or poorly known in the literature, and 52.1% were serious. The most frequent ADRs were gastrointestinal (19.3%) and neurological (19.1%), and among the most common 213 suspected medicines, there were those used for nervous system conditions (18.8%). The agreement on the perception of ADRs' severity between citizens and centre's technicians was 'good' (K = 0.62 (0.51-0.72)). An analysis of the free-text section of reports showed that one-quarter of the reports provided useful additional data, like the psychobiosocial impact, which could explain the discrepancy between patients and health professionals in the classification of the severity of some ADRs. CONCLUSIONS: Patients' report free-text section provides relevant information, mainly about symptoms description, psychobiosocial impact and feelings. Therefore, it is a section to be enhanced and analysed. These findings should encourage the strengthening of citizens reporting.

What can be learned from a chaotic cancer model?

A simple model of three competing cell populations (host, immune and tumor cells) is revisited by using a topological analysis and computing observability coefficients. Our aim is to show that a non-conventional analysis might suggest new trends in understanding the interactions of some tumor cells and their environment. The action of some parameter values on the resulting dynamics is investigated. Our results are related to some clinical features, suggesting that this model thus captures relevant phenomena to cell interactions.

Leakage estimation using Kalman filtering in noninvasive mechanical ventilation.

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.

Nonstationarity signatures in the dynamics of global nonlinear models.

The aim of this paper is to learn how to recognize a posteriori signatures that nonstationarity leaves on global models obtained from data. To this end the effects of nonstationarity on the dynamics of such models are reported for two benchmarks. Parameters of the Rössler and Lorenz models are varied to produce nonstationary data. It is shown that not only the rate of change of the varying parameter but also which recorded variable is used to estimate global models may have visible effects on the results, which are system-dependent and therefore difficult to generalize. Although the effects of nonstationarity are not necessarily obvious from the phase portraits, the first-return map to a Poincaré section is a much more adequate tool to recognize such effects. Three examples of models previously obtained from experimental data are analyzed in the light of the concepts discussed in this paper.

Global models for patient-ventilator interactions in noninvasive ventilation with asynchronies.

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.

Molecular and clinical characterisation of three Spanish families with maternally inherited non-syndromic hearing loss caused by the 1494C->T mutation in the mitochondrial 12S rRNA gene.

Mutations in the 12S rRNA gene of the mitochondrial genome are responsible for maternally inherited non-syndromic hearing loss (NSHL), and for increased susceptibility to the ototoxicity of aminoglycoside antibiotics. Among these mutations, 1555A-->G is the most prevalent in all populations tested so far. Recently, the 1494C-->T mutation was reported in two large Chinese pedigrees with maternally inherited NSHL. In this study, sequencing of the 12S rRNA gene in a Spanish family with maternally inherited NSHL showed the presence of the 1494C-->T mutation. An additional screening of 1339 unrelated Spanish patients with NSHL allowed the authors to find two other families with the mutation. Audiological data were obtained from 17 confirmed 1494C-->T carriers, which showed that the hearing loss was sensorineural, bilateral and symmetrical, with a remarkable variability in age of onset and severity. Three carriers were asymptomatic. Three affected carriers had a history of treatment with aminoglycoside antibiotics. The mitochondrial genome of one affected person from each of these three families was entirely sequenced, and it was established that they belong to different mitochondrial haplogroups (H, U5b, U6a). The study results further support the pathogenic role of 1494C-->T on hearing, and show that this mutation can be found in different Caucasian mitochondrial DNA backgrounds.

Investigation of determinism in heart rate variability.

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.

Nonlinear multivariable modeling and analysis of sleep apnea time series.

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.