5,237 research outputs found

    Neural correlates of early deliberate emotion regulation: Young children\u27s responses to interpersonal scaffolding.

    Get PDF
    Deliberate emotion regulation, the ability to willfully modulate emotional experiences, is shaped through interpersonal scaffolding and forecasts later functioning in multiple domains. However, nascent deliberate emotion regulation in early childhood is poorly understood due to a paucity of studies that simulate interpersonal scaffolding of this skill and measure its occurrence in multiple modalities. Our goal was to identify neural and behavioral components of early deliberate emotion regulation to identify patterns of competent and deficient responses. A novel probe was developed to assess deliberate emotion regulation in young children. Sixty children (age 4-6 years) were randomly assigned to deliberate emotion regulation or control conditions. Children completed a frustration task while lateral prefrontal cortex (LPFC) activation was recorded via functional near-infrared spectroscopy (fNIRS). Facial expressions were video recorded and children self-rated their emotions. Parents rated their child\u27s temperamental emotion regulation. Deliberate emotion regulation interpersonal scaffolding predicted a significant increase in frustration-related LPFC activation not seen in controls. Better temperamental emotion regulation predicted larger LPFC activation increases post- scaffolding among children who engaged in deliberate emotion regulation interpersonal scaffolding. A capacity to increase LPFC activation in response to interpersonal scaffolding may be a crucial neural correlate of early deliberate emotion regulation

    Learning Styles of Farmers and Others Involved with the Maine Potato Industry

    Get PDF
    The article reports on the learning preferences of Maine Potato Industry representatives. Using the Gregorc Mind Styles™ approach to examine learning styles, we categorized potato farmers, university/government employees, allied industry personnel, and others involved in the potato industry into four learning styles: Concrete Sequential, Concrete Random, Abstract Sequential, and Abstract Random. The plurality of potato farmers were Concrete Sequential, while the plurality of university/government employees and allied industry personnel were Abstract Random. The difference in learning styles of the deliverers and the recipients of the information can result in poor communication and a less than optimum learning environment

    User-driven design of decision support systems for polycentric environmental resources management

    Get PDF
    Open and decentralized technologies such as the Internet provide increasing opportunities to create knowledge and deliver computer-based decision support for multiple types of users across scales. However, environmental decision support systems/tools (henceforth EDSS) are often strongly science-driven and assuming single types of decision makers, and hence poorly suited for more decentralized and polycentric decision making contexts. In such contexts, EDSS need to be tailored to meet diverse user requirements to ensure that it provides useful (relevant), usable (intuitive), and exchangeable (institutionally unobstructed) information for decision support for different types of actors. To address these issues, we present a participatory framework for designing EDSS that emphasizes a more complete understanding of the decision making structures and iterative design of the user interface. We illustrate the application of the framework through a case study within the context of water-stressed upstream/downstream communities in Lima, Peru

    Expression and function of ATP-dependent potassium channels in zebrafish islet β-cells

    Get PDF
    ATP-sensitive potassium channels (K(ATP) channels) are critical nutrient sensors in many mammalian tissues. In the pancreas, K(ATP) channels are essential for coupling glucose metabolism to insulin secretion. While orthologous genes for many components of metabolism–secretion coupling in mammals are present in lower vertebrates, their expression, functionality and ultimate impact on body glucose homeostasis are unclear. In this paper, we demonstrate that zebrafish islet β-cells express functional K(ATP) channels of similar subunit composition, structure and metabolic sensitivity to their mammalian counterparts. We further show that pharmacological activation of native zebrafish K(ATP) using diazoxide, a specific K(ATP) channel opener, is sufficient to disturb glucose tolerance in adult zebrafish. That β-cell K(ATP) channel expression and function are conserved between zebrafish and mammals illustrates the evolutionary conservation of islet metabolic sensing from fish to humans, and lends relevance to the use of zebrafish to model islet glucose sensing and diseases of membrane excitability such as neonatal diabetes

    Smart Cum Digital Classroom

    Full text link
    In the present scenario, smart technology is being applied to every field, and education is just another field which requires it. Smart cum Digital classroom introduces power consumption and time saving technology to the fold and also is ecofriendly as well. This project presents the design and implementation of an intelligent automated system for conserving electrical energy using image processing, which can be used in large organizations like a University or an office. The proposed system works on automation, so that the electrical appliances can be automatically controlled and monitored without any human intervention. It uses the available infrastructure in a classroom which includes surveillance camera and Ethernet connectivity so as to minimize the cost criteria. . The proposed outcome of the project aims at multiple benefits, including saving on electricity bills of the University or any other organization it is deployed in, eliminating human involvement and manpower which is often required to manually toggle the lights and electrical device on/off, and also most importantly, conserve precious natural resources by reducing electrical energy consumption. This project also works as a proxy eliminator and acknowledge the staff members as well as the students that which classroom is free

    Tropical surface singularities

    Full text link
    In this paper, we study tropicalisations of singular surfaces in toric threefolds. We completely classify singular tropical surfaces of maximal-dimensional type, show that they can generically have only finitely many singular points, and describe all possible locations of singular points. More precisely, we show that singular points must be either vertices, or generalized midpoints and baricenters of certain faces of singular tropical surfaces, and, in some cases, there may be additional metric restrictions to faces of singular tropical surfaces.Comment: A gap in the classification was closed. 37 pages, 29 figure

    Cold-Formed Steel Strength Predictions for Torsion

    Get PDF
    Locally slender open cross-section members are susceptible to significant twisting and high warping torsion stresses. Torsion considerations are complicated by whether it is derived as a first-order effect from loading or a second-order effect from instability. Previous direct torsion experiments on lipped channels have shown significant inelastic reserve in limited cases. The current design for combined bending and torsion interaction has some limitations, including only considering the first yield in torsion and ignoring the cross-section slenderness in torsion. A parametric study is conducted to predict the torsion capacity in locally slender cross-sections. Shell finite element models of lipped Cee and Zee section members are validated with existing experiments on combined bending and torsion. The validated models are utilized for a parametric study with applied torsion on a range of cross-sections, steel grades, and members lengths to cover the range of practically expected torsional slenderness. A set of bimoment parameters, including yield bimoment, buckling bimoment, and plastic bimoment, are calculated and the ultimate bimoment is determined by performing shell finite element collapse analyses. A simple uniform equation is adopted to predict the bimoment capacity and two bimoment strength curves under torsion only are proposed for local and distortional buckling controlled cases respectively

    Development of Body Emotion Perception in Infancy: From Discrimination to Recognition

    Get PDF
    Research suggests that infants progress from discrimination to recognition of emotions in faces during the first half year of life. It is unknown whether the perception of emotions from bodies develops in a similar manner. In the current study, when presented with happy and angry body videos and voices, 5-month-olds looked longer at the matching video when they were presented upright but not when they were inverted. In contrast, 3.5-month-olds failed to match even with upright videos. Thus, 5-month-olds but not 3.5-month-olds exhibited evidence of recognition of emotions from bodies by demonstrating intermodal matching. In a subsequent experiment, younger infants did discriminate between body emotion videos but failed to exhibit an inversion effect, suggesting that discrimination may be based on low-level stimulus features. These results document a developmental change from discrimination based on non-emotional information at 3.5 months to recognition of body emotions at 5 months. This pattern of development is similar to face emotion knowledge development and suggests that both the face and body emotion perception systems develop rapidly during the first half year of life
    corecore