348 research outputs found

    Longitudinal Associations between Callous-unemotional (CU) Traits and School-based Affiliative Relationships among South Korean Children.

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    OBJECTIVE: Callous-unemotional traits (CU) traits are characterized by low empathy, guilt, and reduced sensitivity to others’ feelings, along with a reduced drive for social affiliation. However, little is known about the relationships between CU traits and social affiliation in the school context, or the influence of gender on these associations. This study tested reciprocal associations between CU traits and school-based affiliative relationships and explored gender as a potential moderator. METHOD: The sample included South Korean children aged 10 to 12 years (N = 218, M = 11.03, SD = .65, 52% boys). Children reported on CU traits, antisocial behavior, teacher-student relationship quality, and peer affiliation. Three-wave longitudinal cross-lagged models tested reciprocal associations between CU traits and affiliation with both teachers and peers, with multi-group modeling employed to test the moderating effect of gender. RESULT: Higher CU traits at time 1 predicted decreases in teacher affiliation at time 2 controlling for CU traits, teacher-child affiliation, and antisocial behavior at time 1, while lower teacher-child affiliation at time 2 predicted increases in CU traits at time 3 accounting for CU traits, teacher-child affiliation, and antisocial behavior at time 2. However, there were no reciprocal associations between CU traits and teacher affiliation nor significant associations between CU traits and peer affiliation. Gender did not moderate any pathways between CU traits and teacher or peer affiliation. CONCLUSIONS: Findings indicate CU traits may reduce teacher-child affiliation, potentially escalating risk for further increases in CU traits. Thus, teacher-child affiliation may represent an important target for school-based intervention for children with elevated CU traits regardless of gender

    The Influence of Antisocial Behavior and Callous-Unemotional Traits on Trajectories of School Engagement and Achievement in South-Korean Children

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    Poor educational outcomes are common among children with antisocial behavior problems, including among a subgroup of antisocial children with callous-unemotional traits, who show deficits in empathy, guilt, and prosociality. However, few studies have explored the unique contributions of antisocial behavior and callous-unemotional traits to school outcomes and most prior studies have been conducted in Western countries. The current study thus tested associations between callous-unemotional traits, antisocial behavior, and trajectories of school outcomes among South Korean children. Participants aged 10-12 years (N = 218; 52% boys) completed questionnaires assessing antisocial behavior, callous-unemotional traits, verbal ability, and school engagement, and teachers provided children’s Math and Korean grades at three time points during a single academic year. Prospective associations were explored in conditional latent growth curve models. Both antisocial behavior and callous-unemotional traits were related to lower school engagement at the start of the academic year, but the magnitude of the associations was greater for callous-unemotional traits, suggesting a greater adverse effect of callous-unemotional traits on engagement than antisocial behavior. Moreover, children with high levels of callous-unemotional traits showed stable and low levels of school engagement. There were no significant predictive associations between antisocial behavior or callous-unemotional traits and trajectories of academic grades. The findings suggest that interventions aimed at improving educational outcomes among antisocial children should be tailored according to the presence of callous-unemotional traits to target the specific needs of individual students, particularly at the start of the school year

    Callous-Unemotional Traits Among Children and Adolescents in Asian Cultures: A Systematic Review

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    Considerable evidence now exists for callous and unemotional (CU) traits as markers for a high-risk pathway to child and adolescent conduct problems implicating unique risk processes and treatment needs, but research has been limited largely to Western countries. We review the evidence base related to CU traits in Asian countries that has emerged in recent years, with respect to four key questions. Specifically, are higher CU traits among Asian children and adolescents associated with (1) increased severity of conduct problems; (2) similar neurodevelopmental and neurocognitive correlates as reported in Western countries; (3) similar environmental risk factors as reported in Western countries; and (4) poorer treatment outcomes? A systematic search identified 28 studies that have reported on child and adolescent CU traits in Asian countries. Consistent with Western samples, CU traits were associated with individual risk factors including atypical neural activation during cognitive tasks and poor empathy, as well as parenting risk factors. CU traits were also positively associated with most measures of conduct problems. Differences from findings in Western samples, however, emerged for areas such as correlates of reactive aggression and delinquent peer influence. Treatment has been investigated in only one study to date and is therefore a high priority for future research. The limitations of existing evidence are addressed along with key directions for future cross-cultural research, including measurement research with children and adolescents

    Multicore and FPGA implementations of emotional-based agent architectures

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    The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-014-1307-6.Control architectures based on Emotions are becoming promising solutions for the implementation of future robotic agents. The basic controllers of the architecture are the emotional processes that decide which behaviors of the robot must activate to fulfill the objectives. The number of emotional processes increases (hundreds of millions/s) with the complexity level of the application, reducing the processing capacity of the main processor to solve complex problems (millions of decisions in a given instant). However, the potential parallelism of the emotional processes permits their execution in parallel on FPGAs or Multicores, thus enabling slack computing in the main processor to tackle more complex dynamic problems. In this paper, an emotional architecture for mobile robotic agents is presented. The workload of the emotional processes is evaluated. Then, the main processor is extended with FPGA co-processors through Ethernet link. The FPGAs will be in charge of the execution of the emotional processes in parallel. Different Stratix FPGAs are compared to analyze their suitability to cope with the proposed mobile robotic agent applications. The applications are set up taking into account different environmental conditions, robot dynamics and emotional states. Moreover, the applications are run also on Multicore processors to compare their performance in relation to the FPGAs. Experimental results show that Stratix IV FPGA increases the performance in about one order of magnitude over the main processor and solves all the considered problems. Quad-Core increases the performance in 3.64 times, allowing to tackle about 89 % of the considered problems. Quad-Core has a lower cost than a Stratix IV, so more adequate solution but not for the most complex application. Stratix III could be applied to solve problems with around the double of the requirements that the main processor could support. Finally, a Dual-Core provides slightly better performance than stratix III and it is relatively cheaper.This work was supported in part under Spanish Grant PAID/2012/325 of "Programa de Apoyo a la Investigacion y Desarrollo. Proyectos multidisciplinares", Universitat Politecnica de Valencia, Spain.Domínguez Montagud, CP.; Hassan Mohamed, H.; Crespo, A.; Albaladejo Meroño, J. (2015). Multicore and FPGA implementations of emotional-based agent architectures. Journal of Supercomputing. 71(2):479-507. https://doi.org/10.1007/s11227-014-1307-6S479507712Malfaz M, Salichs MA (2010) Using MUDs as an experimental platform for testing a decision making system for self-motivated autonomous agents. Artif Intell Simul Behav J 2(1):21–44Damiano L, Cañamero L (2010) Constructing emotions. 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    Reliability of the interRAI suite of assessment instruments: a 12-country study of an integrated health information system

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    <p>Abstract</p> <p>Background</p> <p>A multi-domain suite of instruments has been developed by the interRAI research collaborative to support assessment and care planning in mental health, aged care and disability services. Each assessment instrument comprises items common to other instruments and specialized items exclusive to that instrument. This study examined the reliability of the items from five instruments supporting home care, long term care, mental health, palliative care and post-acute care.</p> <p>Methods</p> <p>Paired assessments on 783 individuals across 12 nations were completed within 72 hours of each other by trained assessors who were blinded to the others' assessment. Reliability was tested using weighted kappa coefficients.</p> <p>Results</p> <p>The overall kappa mean value for 161 items which are common to 2 or more instruments was 0.75. The kappa mean value for specialized items varied among instruments from 0.63 to 0.73. Over 60% of items scored greater than 0.70.</p> <p>Conclusion</p> <p>The vast majority of items exceeded standard cut-offs for acceptable reliability, with only modest variation among instruments. The overall performance of these instruments showed that the interRAI suite has substantial reliability according to conventional cut-offs for interpreting the kappa statistic. The results indicate that interRAI items retain reliability when used across care settings, paving the way for cross domain application of the instruments as part of an integrated health information system.</p

    Two Bee-Pollinated Plant Species Show Higher Seed Production when Grown in Gardens Compared to Arable Farmland

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    Background Insect pollinator abundance, in particular that of bees, has been shown to be high where there is a super-abundance of floral resources; for example in association with mass-flowering crops and also in gardens where flowering plants are often densely planted. Since land management affects pollinator numbers, it is also likely to affect the resultant pollination of plants growing in these habitats. We hypothesised that the seed or fruit set of two plant species, typically pollinated by bumblebees and/or honeybees might respond in one of two ways: 1) pollination success could be reduced when growing in a floriferous environment, via competition for pollinators, or 2) pollination success could be enhanced because of increased pollinator abundance in the vicinity. Methodology/Principal Findings We compared the pollination success of experimental plants of Glechoma hederacea L. and Lotus corniculatus L. growing in gardens and arable farmland. On the farms, the plants were placed either next to a mass-flowering crop (oilseed rape, Brassica napus L. or field beans, Vicia faba L.) or next to a cereal crop (wheat, Triticum spp.). Seed set of G. hederacea and fruit set of L. corniculatus were significantly higher in gardens compared to arable farmland. There was no significant difference in pollination success of G. hederacea when grown next to different crops, but for L. corniculatus, fruit set was higher in the plants growing next to oilseed rape when the crop was in flower. Conclusions/Significance The results show that pollination services can limit fruit set of wild plants in arable farmland, but there is some evidence that the presence of a flowering crop can facilitate their pollination (depending on species and season). We have also demonstrated that gardens are not only beneficial to pollinators, but also to the process of pollination

    Activation During Observed Parent–Child Interactions with Anxious Youths: A Pilot Study

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    Parent–child interaction paradigms are often used to observe dysfunctional family processes; however, the influence of such tasks on a participant’s level of activation remain unclear. The aim of this pilot project is to explore the stimulus value of interaction paradigms that have been commonly used in child anxiety research. Twenty-nine parent–child dyads with clinically anxious (n = 16) and non-anxious (n = 13) youths engaged in a series of tasks (threat and non-threat) used in previous studies of parenting and youth anxiety. Heart rate (HR) data, as an indicator of physiological activation, were collected across tasks, and participants rated the perceived representativeness of their interactions in the laboratory to their usual behavior at home. Significant HR changes were observed for both parent and child. Change in child HR from baseline to non-threat task was smaller than change in HR from baseline to threat tasks. Change in parent HR from baseline to ambiguous situations tasks was smaller than changes from baseline to other threat tasks. Differences in HR change between anxious and non-anxious children were explored. Participants rated laboratory interactions as similar to those experienced in the home. Results suggest that presumably emotionally-charged discussion tasks may produce increased activation compared to tasks that were designed to be more neutral. Implications for future research and limitations are discussed

    Scoliosis in patients with Prader Willi Syndrome – comparisons of conservative and surgical treatment

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    In children with Prader Willi syndrome (PWS), besides growth hormone (GH) therapy, control of the food environment and regular exercise, surgical treatment of scoliosis deformities seems the treatment of choice, even though the risks of spinal surgery in this specific population is very high. Therefore the question arises as to whether the risks of spinal surgery outweigh the benefits in a condition, which bears significant risks per se. The purpose of this systematic review of the Pub Med literature was to find mid or long-term results of spinal fusion surgery in patients with PWS, and to present the conservative treatment in a case study of nine patients with this condition

    TRY plant trait database - enhanced coverage and open access

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    Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives
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