Micropropagation of gerbera using chlorine dioxide (ClO2) to sterilize the culture medium

One of the alternatives to autoclaving culture media is chemical sterilization, which may cause fewer changes to the chemical composition of the media. In this study, the effect of chemical sterilization by inclusion of chlorine dioxide (ClO2) in the culture medium on the in vitro development of gerbera (Gerbera jamesonii) cv. AL101, cultured at different stages of micropropagation, was evaluated. The following five concentrations of ClO2 were tested: 0%, 0.0025%, 0.0050%, 0.0075%, and 0.010%. Autoclaved medium was used as the control. ClO2 in the culture medium reduced contamination at rates comparable to autoclaving when tested at three stages of the culture process: in vitro establishment, multiplication, and rooting. Plantlets grown in culture media sterilized with ClO2 showed similar or better development than those grown in autoclaved culture medium. Use of 0.0025% ClO2 to sterilize the culture medium resulted in better plantlet development than autoclaved medium, regardless of the stage of micropropagation.

Local power properties of some asymptotic tests in symmetric linear regression models

In this paper we obtain asymptotic expansions, up to order n(-1/2) and under a sequence of Pitman alternatives, for the nonnull distribution functions of the likelihood ratio, Wald, score and gradient test statistics in the class of symmetric linear regression models. This is a wide class of models which encompasses the t model and several other symmetric distributions with longer-than normal tails. The asymptotic distributions of all four statistics are obtained for testing a subset of regression parameters. Furthermore, in order to compare the finite-sample performance of these tests in this class of models, Monte Carlo simulations are presented. An empirical application to a real data set is considered for illustrative purposes. (C) 2011 Elsevier B.V. All rights reserved.

Daily rhythms of native Brazilians in summer and winter

Access to electricity, granting relative independence of human activity on the dark phase of the day, has been pointed out as an important cause for the absence of seasonal changes in the daily rhythms of humans living in urban areas. Featuring a population of adult Guarani natives living without access to electricity, the present naturalistic study was designed to explore possible effects of different natural photoperiods and temperature on human circadian rhythms. We compared time series of wrist temperature (WT) and motor activity in winter and summer, respectively, 01 24 individuals aged 18 to 80. Twenty-four-hour rhythms of WT showed lower amplitudes and higher mean levels in summer, with no significant seasonal differences in acrophase. In contrast, rest-activity (RA) rhythms exhibited a significantly later rest on-and offset in summer, but no seasonal changes in duration, amplitude and mean level. We furthermore identified a phase advance of both the WT acrophase and rest onset with increasing age of the individuals. We concluded that in our study the effect of different seasons was reflected in the amplitude and mean level of the WT rhythm, as well the onset of nighttime rest, which was delayed in summer. (C) 2011 Elsevier Inc. All rights reserved.

Functional independence in patients with chronic kidney disease being treated with haemodialysis

Purpose: This study has described and analysed the functional independence of the patients served in the haemodialysis services of a countryside town in the State of Sao Paulo, Brazil, using the Functional Independence Measure (FIM). Method: The population considered was that of 214 patients being treated with haemodialysis, assessed in 2011, by means of a social, demographic and clinical report, a Mini-Mental State Examination (MMSE) and also the FIM. Results: The mean age of the population under study was 58.01 years, while the mean FIM point score was 118.38 points, showing a level of complete or modified independence within this population. Even though the level of dependence found has been low, this can be highlighted, within the locomotion domain, in the activity of going up and down stairs (10.28%). Age, complications arising from haemodialysis, and comorbidities show a negative correlation with FIM. Conclusion: Awareness of the level of functional independence of the patients being subjected to treatment with haemodialysis is essential in order to back up intervention for the improvement of nursing assistance provided to this population.

Local power and size properties of the LR, Wald, score and gradient tests in dispersion models

We derive asymptotic expansions for the nonnull distribution functions of the likelihood ratio, Wald, score and gradient test statistics in the class of dispersion models, under a sequence of Pitman alternatives. The asymptotic distributions of these statistics are obtained for testing a subset of regression parameters and for testing the precision parameter. Based on these nonnull asymptotic expansions, the power of all four tests, which are equivalent to first order, are compared. Furthermore, in order to compare the finite-sample performance of these tests in this class of models, Monte Carlo simulations are presented. An empirical application to a real data set is considered for illustrative purposes. (C) 2012 Elsevier B.V. All rights reserved.

Emergence of sensory selection mechanisms in Artificial Life simulations

Background The evolutionary advantages of selective attention are unclear. Since the study of selective attention began, it has been suggested that the nervous system only processes the most relevant stimuli because of its limited capacity [1]. An alternative proposal is that action planning requires the inhibition of irrelevant stimuli, which forces the nervous system to limit its processing [2]. An evolutionary approach might provide additional clues to clarify the role of selective attention. Methods We developed Artificial Life simulations wherein animals were repeatedly presented two objects, "left" and "right", each of which could be "food" or "non-food." The animals' neural networks (multilayer perceptrons) had two input nodes, one for each object, and two output nodes to determine if the animal ate each of the objects. The neural networks also had a variable number of hidden nodes, which determined whether or not it had enough capacity to process both stimuli (Table 1). The evolutionary relevance of the left and the right food objects could also vary depending on how much the animal's fitness was increased when ingesting them (Table 1). We compared sensory processing in animals with or without limited capacity, which evolved in simulations in which the objects had the same or different relevances. Table 1. Nine sets of simulations were performed, varying the values of food objects and the number of hidden nodes in the neural networks. The values of left and right food were swapped during the second half of the simulations. Non-food objects were always worth -3. The evolution of neural networks was simulated by a simple genetic algorithm. Fitness was a function of the number of food and non-food objects each animal ate and the chromosomes determined the node biases and synaptic weights. During each simulation, 10 populations of 20 individuals each evolved in parallel for 20,000 generations, then the relevance of food objects was swapped and the simulation was run again for another 20,000 generations. The neural networks were evaluated by their ability to identify the two objects correctly. The detectability (d') for the left and the right objects was calculated using Signal Detection Theory [3]. Results and conclusion When both stimuli were equally relevant, networks with two hidden nodes only processed one stimulus and ignored the other. With four or eight hidden nodes, they could correctly identify both stimuli. When the stimuli had different relevances, the d' for the most relevant stimulus was higher than the d' for the least relevant stimulus, even when the networks had four or eight hidden nodes. We conclude that selection mechanisms arose in our simulations depending not only on the size of the neuron networks but also on the stimuli's relevance for action.

Functional independence in patients with chronic kidney disease being treated with haemodialysis¹

PURPOSE: This study has described and analysed the functional independence of the patients served in the haemodialysis services of a countryside town in the State of São Paulo, Brazil, using the Functional Independence Measure (FIM). METHOD: The population considered was that of 214 patients being treated with haemodialysis, assessed in 2011, by means of a social, demographic and clinical report, a Mini-Mental State Examination (MMSE) and also the FIM. RESULTS: The mean age of the population under study was 58.01 years, while the mean FIM point score was 118.38 points, showing a level of complete or modified independence within this population. Even though the level of dependence found has been low, this can be highlighted, within the locomotion domain, in the activity of going up and down stairs (10.28%). Age, complications arising from haemodialysis, and comorbidities show a negative correlation with FIM. CONCLUSION: Awareness of the level of functional independence of the patients being subjected to treatment with haemodialysis is essential in order to back up intervention for the improvement of nursing assistance provided to this population.

A Simple Artificial Life Model Explains Irrational Behavior in Human Decision-Making

Although praised for their rationality, humans often make poor decisions, even in simple situations. In the repeated binary choice experiment, an individual has to choose repeatedly between the same two alternatives, where a reward is assigned to one of them with fixed probability. The optimal strategy is to perseverate with choosing the alternative with the best expected return. Whereas many species perseverate, humans tend to match the frequencies of their choices to the frequencies of the alternatives, a sub-optimal strategy known as probability matching. Our goal was to find the primary cognitive constraints under which a set of simple evolutionary rules can lead to such contrasting behaviors. We simulated the evolution of artificial populations, wherein the fitness of each animat (artificial animal) depended on its ability to predict the next element of a sequence made up of a repeating binary string of varying size. When the string was short relative to the animats' neural capacity, they could learn it and correctly predict the next element of the sequence. When it was long, they could not learn it, turning to the next best option: to perseverate. Animats from the last generation then performed the task of predicting the next element of a non-periodical binary sequence. We found that, whereas animats with smaller neural capacity kept perseverating with the best alternative as before, animats with larger neural capacity, which had previously been able to learn the pattern of repeating strings, adopted probability matching, being outperformed by the perseverating animats. Our results demonstrate how the ability to make predictions in an environment endowed with regular patterns may lead to probability matching under less structured conditions. They point to probability matching as a likely by-product of adaptive cognitive strategies that were crucial in human evolution, but may lead to sub-optimal performances in other environments.