Reduced-Order Modelling of the Bending of an Array of Torsional Micromirrors

Reduced-Order Modelling of the Bending of an Array of An array of micromirrors for beam steering optical switching has been designed in a thick polysilicon technology. A novel semi-analytical method to calculate the static characteristics of the micromirrors by taking into account the flexural deformation of the structure is presented. The results are compared with 3D coupled-field FEM simulation.Comment: Submitted on behalf of TIMA Editions (http://irevues.inist.fr/tima-editions

The Need for Theory to Guide Concussion Research

While the focus on concussion research has expanded greatly over the past decade, progress in identifying the mechanisms and consequences of head injury, the recovery path and the development of potential interventions to facilitate recovery have been largely absent. Instead, the field has largely progressed through an accumulation of data without the guidance of any systematic theory to guide the formulation of research questions or generate testable hypotheses. As part of this special issue on sports concussion, we advance a theory to describe the evolution of a neural network during the development of a cognitive process as well as the breakdown in that network following injury to the brain. The theory emphasizes the importance of changes in spatial and temporal distributions of the brain\u27s neural networks during normal learning throughout the lifespan and the disruptions of these networks following concussion or mild traumatic brain injury (mTBI). Specific predictions are made regarding both the development of the network as well as the breakdown of that network following injury

The Need for Theory to Guide Concussion Research

While the focus on concussion research has expanded greatly over the past decade, progress in identifying the mechanisms and consequences of head injury, the recovery path and the development of potential interventions to facilitate recovery have been largely absent. Instead, the field has largely progressed through an accumulation of data without the guidance of any systematic theory to guide the formulation of research questions or generate testable hypotheses. As part of this special issue on sports concussion, we advance a theory to describe the evolution of a neural network during the development of a cognitive process as well as the breakdown in that network following injury to the brain. The theory emphasizes the importance of changes in spatial and temporal distributions of the brain\u27s neural networks during normal learning throughout the lifespan and the disruptions of these networks following concussion or mild traumatic brain injury (mTBI). Specific predictions are made regarding both the development of the network as well as the breakdown of that network following injury

Executive function skills of 6–8 year olds: Brain and behavioral evidence and implications for school achievement

Academic and social success in school has been linked to children’s self-regulation. This study investigated the assessment of the executive function (EF) component of self-regulation using a low-cost, easily administered measure to determine whether scores obtained from the behavioral task would agree with those obtained using a laboratory-based neuropsychological measure of EF skills. The sample included 74 children (37 females; M = 86.2 months) who participated in two assessments of working memory and inhibitory control: Knock–Tap (NEPSY: Korkman, Kirk, & Kemp, 1998), and participated in event-related potential (ERP) testing that included the directional stroop test (DST: Davidson, Cruess, Diamond, O’Craven, and Savoy (1999)). Three main findings emerged. First, children grouped as high vs. low performing on the NEPSY Knock–Tap Task were found to perform differently on the more difficult conditions of the DST (the Incongruent and Mixed Conditions), suggesting that the Knock–Tap Task as a low-cost and easy to administer assessment of EF skills may be one way for teachers to identify students with poor inhibitory control skills. Second, children’s performance on the DST was strongly related to their ERP responses, adding to evidence that differences in behavioral performance on the DST as a measure of EF skills reflect corresponding differences in brain processing. Finally, differences in brain processing on the DST task also were found when the children were grouped based on Knock–Tap performance. Simple screening procedures can enable teachers to identify children whose distractibility, inattentiveness, or poor attention spans may interfere with classroom learning

Providing Transaction Class-Based QoS in In-Memory Data Grids via Machine Learning

Elastic architectures and the ”pay-as-you-go” resource pricing model offered by many cloud infrastructure providers may seem the right choice for companies dealing with data centric applications characterized by high variable workload. In such a context, in-memory transactional data grids have demonstrated to be particularly suited for exploiting advantages provided by elastic computing platforms, mainly thanks to their ability to be dynamically (re-)sized and tuned. Anyway, when specific QoS requirements have to be met, this kind of architectures have revealed to be complex to be managed by humans. Particularly, their management is a very complex task without the stand of mechanisms supporting run-time automatic sizing/tuning of the data platform and the underlying (virtual) hardware resources provided by the cloud. In this paper, we present a neural network-based architecture where the system is constantly and automatically re-configured, particularly in terms of computing resources

Infant Language Assessment Predicts Later Math Disabilities

Prevention of cognitive disabilities currently remains out of reach. Yet, interventions are crucial to maximizing developmental outcomes later in life. To be effective, interventions must occur at the earliest age possible to mitigate potential developmental problems. This study is an attempt to identify newborn infants at risk for developing math disabilities later in life. Several studies used assessment tests at relatively late ages in order to predict future cognitive abilities (Aarnoudse-Moens et al., 2013; Kiechl-Kohlendorfer et al., 2013). More recent research used MRI scans of neonate brains to investigate the relationships between academic abilities and preterm births (Ullman et al., 2015). While these studies laid groundwork for prediction models, they primarily focused on physiological and social factors associated with preterm births. The present research examined possible precursors of math disabilities utilizing event-related potential (ERP) brain wave responses recorded from infants within 36 hours after birth. We hypothesized that infant brain responses to speech and nonspeech stimuli could predict individuals predisposed to developing math difficulties later in life

Smoking during Pregnancy Affects Speech-Processing Ability in Newborn Infants

BACKGROUND: Tobacco smoking during pregnancy is known to adversely affect development of the central nervous system in babies of smoking mothers by restricting utero–placental blood flow and the amount of oxygen available to the fetus. Behavioral data associate maternal smoking with lower verbal scores and poorer performance on specific language/auditory tests. OBJECTIVES: In the current study we examined the effects of maternal smoking during pregnancy on newborns’ speech processing ability as measured by event-related potentials (ERPs). METHOD: High-density ERPs were recorded within 48 hr of birth in healthy newborn infants of smoking (n = 8) and nonsmoking (n = 8) mothers. Participating infants were matched on sex, gestational age, birth weight, Apgar scores, mother’s education, and family income. Smoking during pregnancy was determined by parental self-report and medical records. ERPs were recorded in response to six consonant–vowel syllables presented in random order with equal probability. RESULTS: Brainwaves of babies of nonsmoking mothers were characterized by typical hemisphere asymmetries, with larger amplitudes over the left hemisphere, especially over temporal regions. Further, infants of nonsmokers discriminated among a greater number of syllables whereas the newborns of smokers began the discrimination process at least 150 msec later and differentiated among fewer stimuli. CONCLUSIONS: Our findings indicate that prenatal exposure to tobacco smoke in otherwise healthy babies is linked with significant changes in brain physiology associated with basic perceptual skills that could place the infant at risk for later developmental problems

Smoking during Pregnancy Affects Speech-Processing Ability in Newborn Infants

BACKGROUND: Tobacco smoking during pregnancy is known to adversely affect development of the central nervous system in babies of smoking mothers by restricting utero–placental blood flow and the amount of oxygen available to the fetus. Behavioral data associate maternal smoking with lower verbal scores and poorer performance on specific language/auditory tests. OBJECTIVES: In the current study we examined the effects of maternal smoking during pregnancy on newborns’ speech processing ability as measured by event-related potentials (ERPs). METHOD: High-density ERPs were recorded within 48 hr of birth in healthy newborn infants of smoking (n = 8) and nonsmoking (n = 8) mothers. Participating infants were matched on sex, gestational age, birth weight, Apgar scores, mother’s education, and family income. Smoking during pregnancy was determined by parental self-report and medical records. ERPs were recorded in response to six consonant–vowel syllables presented in random order with equal probability. RESULTS: Brainwaves of babies of nonsmoking mothers were characterized by typical hemisphere asymmetries, with larger amplitudes over the left hemisphere, especially over temporal regions. Further, infants of nonsmokers discriminated among a greater number of syllables whereas the newborns of smokers began the discrimination process at least 150 msec later and differentiated among fewer stimuli. CONCLUSIONS: Our findings indicate that prenatal exposure to tobacco smoke in otherwise healthy babies is linked with significant changes in brain physiology associated with basic perceptual skills that could place the infant at risk for later developmental problems

Repeat Baseline Assessment in College-Age Athletes

Repeat baseline testing scores from one collegiate Division I NCAA school were analyzed to determine the necessity of this practice. ImPACT tests were taken between 13 and 40 months apart (median 24 months; final N = 67). No significant difference in any test composite score was obtained; the number of tests exceeding chance levels of change was insignificant. The results do not support the recommendation for repeating baseline testing in college athletes; replication is recommended