869 research outputs found

    Learning emotions in virtual environments

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    A modular hybrid neural network architecture, called SHAME, for emotion learning is introduced. The system learns from annotated data how the emotional state is generated and changes due to internal and external stimuli. Part of the modular architecture is domain independent and part must be\ud adapted to the domain under consideration.\ud The generation and learning of emotions is based on the event appraisal model.\ud The architecture is implemented in a prototype consisting of agents trying to survive in a virtual world. An evaluation of this prototype shows that the architecture is capable of\ud generating natural emotions and furthermore that training of the neural network modules in the architecture is computationally feasible.\ud Keywords: hybrid neural systems, emotions, learning, agents

    Simulation of emotions of agents in virtual environments using neural networks

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    A distributed architecture for a system simulating the emotional state of an agent acting in a virtual environment is presented. The system is an implementation of an event appraisal model of emotional behaviour and uses neural networks to learn how the emotional state should be influenced by the occurrence of environmental and internal\ud stimuli. A part of the modular system is domain-independent. The system can easily be adapted for handling different events that influence the emotional state. A first\ud prototype and a testbed for this architecture are presented

    Electronic Continuous Pain Measurement vs Verbal Rating Scale in gynaecology:A prospective cohort study

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    OBJECTIVE: To compare pain measured with a new electronic device - the Continuous Pain Score Meter (CPSM) - and the Verbal Rating Scale (VRS) during gynaecological procedures in an outpatient setting, and to correlate these outcomes with baseline anxiety and patient (in)tolerance to the procedure. STUDY DESIGN: This prospective cohort study was undertaken in two centres: a university hospital and a large teaching hospital in The Netherlands. Patients undergoing an outpatient hysteroscopy, colposcopy or ovum pick-up procedure for in-vitro fertilization in one of the two participating hospitals with availability of the CPSM were included. Pain was measured by both the CPSM and the VRS. Patient tolerance to the procedure was reported. Various outcomes of the CPSM were compared with those of the VRS and related to baseline anxiety scores. RESULTS: Ninety-one of 108 included patients (84 %) used the CPSM correctly during the procedure, and it was possible to analyse the CPSM scores for 87 women (81 %). The CPSM scores were all linearly related to the VRS. The peak pain score on the CPSM (CPSM-PPS) had the strongest correlation with the VRS score for all three procedures. Higher CPSM-PPS was related to patient (in)tolerance to the procedure (p = 0.03-0.002). Anxiety at baseline was not correlated with pain perception, except for VRS during colposcopy (r = 0.39, p = 0.016). CONCLUSION: The majority of patients were able to use the CPSM correctly, resulting in detailed information on pain perception for each individual pain stimulus during three outpatient gynaecological procedures. The CPSM-PPS had the strongest correlation with the VRS score and patient (in)tolerance to the procedure

    Effects of food-borne nanomaterials on gastrointestinal tissues and microbiota

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    Ingestion of engineered nanomaterials is inevitable due to their addition to food and prevalence in food packaging and domestic products such as toothpaste and sun cream. In the absence of robust dosimetry and particokinetic data, it is currently challenging to accurately assess the potential toxicity of food-borne nanomaterials. Herein, we review current understanding of gastrointestinal uptake mechanisms, consider some data on the potential for toxicity of the most commonly encountered classes of food-borne nanomaterials (including TiO2 , SiO2 , ZnO, and Ag nanoparticles), and discuss the potential impact of the luminal environment on nanoparticle properties and toxicity. Much of our current understanding of gastrointestinal nanotoxicology is derived from increasingly sophisticated epithelial models that augment in vivo studies. In addition to considering the direct effects of food-borne nanomaterials on gastrointestinal tissues, including the potential role of chronic nanoparticle exposure in development of inflammatory diseases, we also discuss the potential for food-borne nanomaterials to disturb the normal balance of microbiota within the gastrointestinal tract. The latter possibility warrants close attention given the increasing awareness of the critical role of microbiota in human health and the known impact of some food-borne nanomaterials on bacterial viability. For further resources related to this article, please visit the WIREs website.</p

    Apparent Metallic Behavior at B = 0 of a two-dimensional electron system in AlAs

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    We report the observation of metallic-like behavior at low temperatures and zero magnetic field in two dimensional (2D) electrons in an AlAs quantum well. At high densities the resistance of the sample decreases with decreasing temperature, but as the density is reduced the behavior changes to insulating, with the resistance increasing as the temperature is decreased. The effect is similar to that observed in 2D electrons in Si-MOSFETs, and in 2D holes in SiGe and GaAs, and points to the generality of this phenomenon

    Anomalous spin-splitting of two-dimensional electrons in an AlAs Quantum Well

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    We measure the effective Lande g-factor of high-mobility two-dimensional electrons in a modulation-doped AlAs quantum well by tilting the sample in a magnetic field and monitoring the evolution of the magnetoresistance oscillations. The data reveal that |g| = 9.0, which is much enhanced with respect to the reported bulk value of 1.9. Surprisingly, in a large range of magnetic field and Landau level fillings, the value of the enhanced g-factor appears to be constant.Comment: 4 pages, 3 figure

    Early risk factors for adolescent antisocial behaviour: an Australian longitudinal study

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    Objective: This investigation utilizes data from an Australian longitudinal study to identify early risk factors for adolescent antisocial behaviour. Method: Analyses are based on data from the Mater University Study of Pregnancy, an on-going longitudinal investigation of womenā€™s and childrenā€™s health and development involving over 8000 participants. Five types of risk factors (child characteristics, perinatal factors, maternal/familial characteristics, maternal pre- and post-natal substance use and parenting practices) were included in analyses and were based on maternal reports, child assessments and medical records. Adolescent antisocial behaviour was measured when children were 14 years old, using the delinquency subscale of the Child Behaviour Checklist. Results: Based on a series of logistic regression models, significant risk factors for adolescent antisocial behaviour included childrenā€™s prior problem behaviour (i.e. aggression and attention/restlessness problems at age 5 years) and marital instability, which doubled or tripled the odds of antisocial behaviour. Perinatal factors, maternal substance use, and parenting practices were relatively poor predictors of antisocial behaviour. Conclusions: Few studies have assessed early predictors of antisocial behaviour in Australia and the current results can be used to inform prevention programs that target risk factors likely to lead to problem outcomes for Australian youth

    Interactions in high-mobility 2D electron and hole systems

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    Electron-electron interactions mediated by impurities are studied in several high-mobility two-dimensional (electron and hole) systems where the parameter kBTĻ„/ā„k_BT\tau /\hbar changes from 0.1 to 10 (Ļ„\tau is the momentum relaxation time). This range corresponds to the \textit{intermediate} and \textit {ballistic} regimes where only a few impurities are involved in electron-electron interactions. The interaction correction to the Drude conductivity is detected in the temperature dependence of the resistance and in the magnetoresistance in parallel and perpendicular magnetic fields. The effects are analysed in terms of the recent theories of electron interactions developed for the ballistic regime. It is shown that the character of the fluctuation potential (short-range or long-range) is an important factor in the manifestation of electron-electron interactions in high-mobility 2D systems.Comment: 22 pages, 11 figures; to appear in proceedings of conference "Fundamental Problems of Mesoscopic Physics", Granada, Spain, 6-11 September, 200
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