The role of perceptual salience during the segmentation of connected speech

Statistical learning allows listeners to track transitional probabilities among syllable sequences and use these probabilities for subsequent speech segmentation. Recent studies have shown that other sources of information, such as rhythmic cues, can modulate the dependencies extracted via statistical computation. In this study, we explored how syllables made salient by a pitch rise affect the segmentation of trisyllabic words from an artificial speech stream by native speakers of three different languages (Spanish, English, and French). Results showed that, whereas performance of French participants did not significantly vary across stress positions (likely due to language-specific rhythmic characteristics), the segmentation performance of Spanish and English listeners was unaltered when syllables in word-initial and word-final positions were salient, but it dropped to chance level when salience was on the medial syllable. We argue that pitch rise in word-medial syllables draws attentional resources away from word boundaries, thus decreasing segmentation effectiveness.     

Family and school violence: the mediator role of self-esteem and attitudes towards institutional authority

This study analyses the influence of family communication and parental valuation of school on adolescent violent behaviour at school. By means of a structural equation model, both its direct and indirect influence through school and family self-esteem of the adolescent and his attitude towards school authority are analysed. The sample is composed of 665 adolescents whose ages range from 12 to 16 years old. The results confirm the existence of an indirect relationship but not direct influence of the family on school violence. The attitude of the adolescent towards school authority is the mediator variable which shows the strongest direct effect on school violence. Also, the two dimensions of self-esteem considered are significant intermediate variables. These results and their implications are analysed.     

Why do people change in therapy? A preliminary study

Why do people change in therapy? A preliminary study. This work represents the beginning of a new way to study the processes that can explain the therapeutic change. The method used is the observation and analysis of therapeutic sessions directly recorded and developed inside a behavioural approach. The category system tries to carry out a functional analysis of the therapist-client interaction which enables the identification of learning processes that work in clinical setting and explain success in therapy. Outcomes are provisional but show the utility of this initial trend of investigation to the comprehension of clinical phenomenon. Conclusions also emphasize the importance of associative learning processes on the therapeutic change.     

Narrow-band 1, 2, 3, 4, 8, 16, 24, 32, 48, 64, and 96 cycles/360 degrees angular frequency filters

We measured human frequency response functions for eleven angular frequency filters using a forced-choice procedure in a supra-threshold summation paradigm. Each of the eleven functions of 17 experimental conditions was measured 4-9 times among 12 observers. Results show that, for the arbitrarily selected filter phases, maximum summation effect occurred at test frequency for all filters. These results lead to the conclusion that there are narrow-band angular frequency filters operating in human visual system mostly through summation surrounded by inhibition at the specific test frequency ranges. Our previous suggestion (Simas and Santos, 2002), arguing that summation for the higher angular frequency filters should occur if background angular frequency contrast were set to a maximum of 5 times the test frequency threshold, was supported.     

EthoSeq: A tool for phylogenetic analysis and data mining in behavioral sequences

This article introduces the software program called EthoSeq, which is designed to extract probabilistic behavioral sequences (tree-generated sequences, or TGSs) from observational data and to prepare a TGS-species matrix for phylogenetic analysis. The program uses Graph Theory algorithms to automatically detect behavioral patterns within the observational sessions. It includes filtering tools to adjust the search procedure to user-specified statistical needs. Preliminary analyses of data sets, such as grooming sequences in birds and foraging tactics in spiders, uncover a large number of TGSs which together yield single phylogenetic trees. An example of the use of the program is our analysis of felid grooming sequences, in which we have obtained 1,386 felid grooming TGSs for seven species, resulting in a single phylogeny. These results show that behavior is definitely useful in phylogenetic analysis. EthoSeq simplifies and automates such analyses, uncovers much of the hidden patterns of long behavioral sequences, and prepares this data for further analysis with standard phylogenetic programs. We hope it will encourage many empirical studies on the evolution of behavior.     

Psychometric properties of the Multidimensional Anxiety Scale for Children (MASC) among Icelandic schoolchildren

A psychometric assessment of the Icelandic version of the Multidimensional Anxiety Scale for Children (MASC) was undertaken among Icelandic schoolchildren, between 10 and 15 years of age. In a first study 625 children between 10 and 15 years of age filled in the MASC. A confirmatory factor analysis indicated that the four-factor structure of the instrument was justified. Further, means and standard deviations of the total scale and the subscales were similar to the original normative data reported by March (1997). In a second study the MASC, the Children Depression Inventory (CDI) and the Revised Children's Manifest Anxiety Scale (RCMAS) were administered to a sample of 249 schoolchildren between 10 and 15 years of age. The results supported the convergent and divergent validity of the MASC. Together the two studies show satisfactory psychometric properties of the Icelandic version of the MASC in a normal population.     

The win-stay rule in foraging decisions by free-ranging titi monkeys (Callicebus cupreus cupreus) and Tamarins (Saguinus imperator imperator and Saguinus fuscicollis weddelli)

Rainforest primates need to apply distinct foraging rules for efficiently using the spatial knowledge of the distribution of resources showing different temporal patterns of renewal. A win-stay rule is very important for exploiting abundant, long-lasting resources. Here, the author tests the use of this rule in wild groups of emperor tamarins (Saguinus imperator imperator), saddle-back tamarins (Saguinus fuscicollis weddelli), and titi monkeys (Callicebus cupreus cupreus) during a series of foraging tasks. Four feeding stations composed of 8 visually similar feeding platforms (2 containing a food reward and 6 containing a sham reward) were constructed. The location of food rewards was reliable during some experiments and unreliable during others. All 3 species consistently adopted a win-stay rule for returning to reward platforms when their location was predictable over time but stopped using it when their spatial distribution changed randomly across experimental trials.     

Accuracy in discriminating blood glucose levels in a sample of children with type 1 diabetes

The present study explores accuracy in estimating blood glucose levels (BGL) in children with type 1 diabetes and analyzes the kinds of symptoms and cues which they use to estimate their BGL. Forty two children with type 1 diabetes completed a SI/IC-3 scale consisting of 28 items (22 symptoms and 6 feelings), indicating those which they perceived at the time and their intensity. They estimated their BGL and gave reasons for their estimation, before having a blood glucose level analysis performed. The results indicated great variability in the accuracy of estimating BGL. They showed failures in the correct discrimination of symptoms of hypoglycemia as well as the presence of false beliefs regarding indicative symptoms of hyperglycemia, and the absence of symptoms as an indicator for euglycemia, beliefs which provoke different and frequent errors in the estimation of BGL. Correct use of external signs is shown to be related to correct estimations of normal BGL, as well as hypoglycemia and hyperglycemia. We discuss the implications these results could have on designing psychological intervention procedures for diabetics in the form of training programs to discriminate BGL accurately, taking into account these findings and previous studies completed in the same field.     

Pathological gambling and personality disorders: an exploratory study with the IPDE

This article describes the most frequent personality disorders related to pathological gambling. Participants included 50 pathological gamblers assessed with the IPDE, and 50 normative subjects from the general population with the same demographic features (age, sex, and socioeconomic level). Thirty-two percent of the clinical sample (vs. the 8% of the normative sample) showed at least one personality disorder. The most prevalent disorders were Borderline (16%), followed by Antisocial, Paranoid, Narcissistic, and Non-specified (8% each). Gamblers with personality disorders presented an average of 1.5 disorders and they reported higher gambling severity and more severe symptoms of anxiety, depression and alcohol abuse. The implications of this study for clinical practice and research are discussed.