The Effects of Child-Centered Play Therapy Training on Trainees

This study was designed to determine the effects of child-centered play therapy as a play therapy training model for beginning play therapy students. The purpose of this study was to determine the effects of child-centered play therapy training on play therapy trainees in (a) improving positive attitudes and beliefs toward children; (b) improving knowledge of child-centered play therapy; (c) improving confidence in applying child-centered play therapy skills; (d) reducing dominance tendencies in trainees' personality as measured by the California Psychological Inventory; and (e) increasing tolerance levels in trainees' personality as measured by the CPI. The experimental group, consisting of 37 counseling graduate students with a specialty in child counseling, received 45 clock hours of introduction to play therapy graduate course training at the University of North Texas, Denton. The control group, consisting of 29 counseling graduate students with a specialty in child counseling, received other counseling graduate courses training but no play therapy training at the time of their participation in this study at the University of North Texas. Both experimental and control group students completed the pretest and the posttest on the Play Therapy Attitude Knowledge Skills Survey and the California Psychological Inventory at the beginning and the end of the semester terms of Fall 1995, Spring 1996, and Summer 1996. Analyses of covariance revealed that students in the experimental group demonstrated (a) a significant improvement in their positive attitudes and beliefs toward children; (b) a significant improvement in their child-centered play therapy knowledge; (c) a significant improvement in their confidence in applying child-centered play therapy skills; and (d) a significant reduction in their dominance tendency. An insignificant result was found in their tolerance level. This study suggests that child-centered play therapy training is a viable training model for prospective and beginning play therapists

Carbon monoxide may enhance bile secretion by increasing glutathione excretion and Mrp2 expression in rats

AbstractBackgroundNitric oxide (NO) donors have been reported to induce choleresis via an increased excretion of glutathione. The effects of another gas molecule, carbon monoxide (CO), on bile formation are, however, inconsistent among previous reports. We investigated the sequential changes of bile output and the biliary contents in rats with or without CO supplementation to elucidate the mechanism of CO on bile excretion.MethodsDichloromethane (DCM) was gastrically fed to male Sprague–Dawley rats to yield CO by liver biotransformation. The rats were divided into DCM-treated (n = 7), DCM plus L-NAME-treated (n = 6), and corn oil-treated-(n = 8) groups. Bile samples were collected hourly to examine the flow rate and bile content. Serum levels of nitrite and nitrate 4 hours after DCM supplementation with or without NO synthase (NOS) inhibition were measured by capillary electrophoresis. The expression of hepatic inducible NOS was evaluated by Western blotting 6 hours after DCM administration.ResultsLevels of carboxyhemoglobin rose to around 10% at 4 hours after DCM supplementation and were maintained until the end of the experiments. Bile flow increased after DCM supplementation and was associated with a concomitant increase of biliary glutathione and higher hepatic multidrug resistance-associated protein 2 (Mrp2) expression. Hepatic inducible NOS expression and serum nitrate/nitrite levels were also increased. Treatment with an NOS inhibitor (L-NAME) abolished the CO-induced glutathione excretion and choleresis, but not Mrp2 expression.ConclusionThe present study demonstrated that CO enhanced biliary output in conjunction with NO by increasing the biliary excretion of glutathione. The increment in biliary glutathione was associated with an increased expression of hepatic Mrp2

Computational Behavioural Economics

Both behavioral economics and computational intelligence (machine learning) rely on the extensive use of heuristics to address decision-making problems in an ill-defined and ill-structured environment. While the former has a focus on behaviors, and the other has a focus on the algorithms, this distinction is merely superficial. The real connection between the two is that through algorithmic procedure the latter provides the former with the computational underpinnings of the decision-making processes. In this chapter, we review this connection, dubbed computational behavioral economics. To do so, we review a number of frequently-used computational intelligence tools in the realm of computational economics, including K nearest neighbors, K means, self-organizing maps, reinforcement learning, decision trees, evolutionary computation, swarm intelligence, and “random” behavior. This review enables us to see how the heuristics employed in the latter, such as closeness, similarity, smoothness, default, automation, hierarchy, and modularity can lay a computational foundation of the heuristics studied by the former

Association of DRD4 uVNTR and TP53 codon 72 polymorphisms with schizophrenia: a case-control study

<p>Abstract</p> <p>Background</p> <p>The tumour supressor gene TP53 is thought to be involved in neural apoptosis. The polymorphism at codon 72 in TP53 and the long form variants of the upstream variable number of tandem repeats (uVNTR) polymorphism in the dopamine D4 receptor (DRD4) gene are reported to confer susceptibility to schizophrenia.</p> <p>Methods</p> <p>We recruited 934 patients with schizophrenia and 433 healthy individuals, and genotyped the locus of the TP53 codon 72 and DRD4 uVNTR polymorphisms by combining the polymerase chain reaction-restriction fragment length polymorphism method (PCR-RFLP) with direct sequencing.</p> <p>Results</p> <p>No significant differences were found in the frequency of the genotype of the TP53 codon72 polymorphism between patients with schizophrenia and their controls. However, the long form alleles (≥ 5 repeats) of the DRD4 uVNTR polymorphism were more frequent in patients with schizophrenia than in controls (p = 0.001). Hence, this class of alleles might be a risk factor for enhanced vulnerability to schizophrenia (odds ratio = 3.189, 95% confidence interval = 1.535-6.622). In the logistic regression analysis, the long form variants of the DRD4 polymorphism did predict schizophrenia after the contributions of the age and gender of the subjects were included (p = 0.036, OR = 2.319), but the CC and GG genotypes of the codon 72 polymorphism of TP53 did not.</p> <p>Conclusions</p> <p>The long form variants of the uVNTR polymorphism in DRD4 were associated with schizophrenia, in a manner that was independent of the TP53 codon 72 polymorphism. In addition, given that the genetic effect of the TP53 codon 72 polymorphism on the risk of developing schizophrenia was very small, this polymorphism is unlikely to be associated with schizophrenia. The roles that other single nucleotide polymorphisms (SNPs) in the TP53 gene or in other apoptosis-related genes play in the synaptic dysfunction involved in the pathogenesis of schizophrenia should be investigated.</p

On Complex Economic Dynamics: Agent-Based Computational Modeling and Beyond

This chapter provides a selective overview of the recent progress in the 6 study of complex adaptive systems. A large part of the review is attributed to agent- 7 based computational economics (ACE). In this chapter, we review the frontier of 8 ACE in light of three issues that have long been grappled with, namely financial 9 markets, market processes, and macroeconomics. Regarding financial markets, 10 we show how the research focus has shifted from trading strategies to trading 11 institutions, and from human traders to robot traders; as to market processes, we 12 empathetically point out the role of learning, information, and social networks 13 in shaping market (trading) processes; finally, in relation to macroeconomics, we 14 demonstrate how the competition among firms in innovation can affect the growth 15 pattern. A minor part of the review is attributed to the recent econometric computing, 16 and methodology-related developments which are pertinent to the study of complex 17 adaptive systems

Electroacupuncture Improves Gastric Emptying in Critically Ill Neurosurgical Patients: A Pilot Study

Objective. To compare the efficacy of combined electroacupuncture and metoclopramide treatment with that of metoclopramide only in improving gastric emptying in critically ill neurosurgical patients. Methods. In this prospective case-control pilot study, a total of 16 adult critically ill mechanically ventilated patients who were treated in the surgical intensive care unit were enrolled. Electrical stimulation was applied to 4 pairs of points (maximum intensity < 9.8 mA at 2 Hz). Patients in the control group received standard treatment with intravenous metoclopramide only. Patients in the experimental group received intravenous metoclopramide plus electroacupuncture treatment once daily for 6 consecutive days. Results. Gastric residual volume in the experimental group (n=7) reduced gradually until the fourth day after treatment with electroacupuncture combined with routine metoclopramide administration. Beginning on the fourth day, residual volume was maintained at less than 200 ml per day for the following two days. In the control group (n=9), there was a gradual reduction in residual volume during the first four days followed by a rebounding increase over the next two days. Conclusions. Electroacupuncture combined with intravenous metoclopramide is a more effective treatment for gastric emptying than metoclopramide alone in adult critically ill patients with impaired brain function

The relationship of muscular endurance and coordination and dexterity with behavioral and neuroelectric indices of attention in preschool children

This study investigated the associations of non-aerobic fitness (NAF) and motor competence (MC) with attention in 4–6 year-old preschoolers. The allocation of attentional resources and speed of stimulus categorization were examined using the amplitude and latency of P3 of event-related potentials respectively, while cortical activation related to general attention and task-specific discriminative processes were examined using event-related desynchronization (ERD) at lower (8–10 Hz) and upper (10–12 Hz) alpha frequencies, respectively. Seventy-six preschoolers completed NAF (muscular power, muscular endurance, flexibility, balance) and MC (coordination and dexterity, ball skills, agility and balance) test batteries. Electroencephalogram was recorded while participants performed an auditory oddball task. After controlling for age and MC, muscular endurance was positively related to P3 amplitude. MC and its coordination and dexterity sub-component were positively related to task performance, with higher levels of coordination and dexterity showing an additional association with greater upper alpha ERD between 700 and 1000 ms following stimulus onset after controlling for age and NAF. These findings suggest relationships of NAF and MC with early childhood neurocognitive function. Specifically, muscular endurance is related to the neuroinhibition in facilitating effective allocation of attentional resources to stimulus evaluation while coordination and dexterity are related to cortical activation underlying strategic attentional preparation for subsequent stimulus evaluation

Associations between Body Mass Index and serum levels of C-Reactive Protein

Background: Obesity imposes increased risks of cardiovascular disease and glucose intolerance, a phenomenon of chronic inflammation. This study was performed to determine whether higher body mass index (BMI) and central obesity are associated with low-grade inflammation. Methods: 8453 adults aged 20 years and older, were analyzed. Every subject completed a household interview, BMI measurement, serum C-reactive protein (CRP) measurement, and a questionnaire regarding personal health. BMI was divided into quintiles, using multiple linear regression to estimate the relationship between CRP level and BMI quintiles. An extended-model approach was used for covariate adjustment. The association of central obesity and CRP level was examined with this method as well. Results: After controlling for demographics, chronic diseases, health behaviors, and levels of folate and vitamin B12, the β coefficient, representing the change of natural-log-transformed levels of CRP for each 1 kg/m2 increased in BMI, was 0.078(