5,769 research outputs found

    Food Quality Standards in Equilibrium Models: A Discussion of Current Modeling Approaches

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    Throughout recent year food quality standards have become a ubiquitous phenomenon that nationally and globally influences agri-food markets. With equilibrium models commonly used in the quantitative analysis of market and trade effects, we review possible approaches to modeling standards existent in the literature, elaborate the reasoning behind them and discuss their suitability to reflect "real world" situations. While the modeling approaches identified may respectively depict a specific situation, they may not be appropriate in others. That is they capture certain effects of standards only. With increasing ability to account for the various effects of standards, the modeling approaches become more complex and the data requirements increase.food quality, standards, modeling approaches, equilibrium models, Food Consumption/Nutrition/Food Safety, F1, C6, Q18,

    THE RELATIONSHIPS AMONG MASTER’S LEVEL COUNSELING TRAINEES’ TRAINING LEVEL, EMOTIONAL INTELLIGENCE, AND PSYCHOPHYSIOLOGICAL CORRELATES OF EMOTION REGULATION DURING A SIMULATED COUNSELING INTERACTION

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    This study explored the relationships among master’s level counseling trainees’ level of training, ability emotional intelligence (EI), and psychophysiological correlates of emotion regulation recorded during a video-simulated client interaction. Agreement exists among counselor educators, researchers, and theorists that counselors’ emotion regulation is foundational to the competent delivery of counseling treatment. The literature further suggests that counselors and trainees experience frequent emotional challenges that overwhelm emotion regulation skills, interfere with competent delivery of service, and affect client outcomes. However, little research in counseling training and supervision has investigated trainees’ emotion regulation or factors that support adaptive emotion regulation while trainees interact with clients who are experiencing emotional distress. Participants were 66 master’s level counseling trainees from counseling programs accredited by the Counsel for Accreditation of Counseling and Related Educational Programs. Participants’ EI was operationalized as scores on the Mayer, Salovey, and Caruso Emotional Intelligence Test (Mayer, Salovey, Caruso, & Sitarenios, 2003). Emotion regulation was operationalized as electrodermal activity (EDA), high-frequency heart rate variability, and the standard deviation of normal heartbeat intervals (HRV-SDNN). Correlation and regression analyses indicated that psychophysiological correlates of trainees’ emotion regulation were not significantly correlated with training. However, HRV-SDNN significantly correlated with total EI, and the EI subscale Perceiving Emotions, while EDA significantly correlated with the Managing Emotions subscale

    Defense Industry Transition in California

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    The Senate Committee on Rules contracted in 1993 with policy analyst Joseph E. Nation to develop a California action plan on defense conversion, under the direction of the Senate Office of Research. This report explores the transition of California defense industries from contracting with the federal government to manufacturing products for commercial use. It is based on research through 1993, and is the first of two reports by Mr. Nation. The second will review issues associated with the closing of military bases in California

    Defense Industry Transition in California

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    The Senate Committee on Rules contracted in 1993 with policy analyst Joseph E. Nation to develop a California action plan on defense conversion, under the direction of the Senate Office of Research. This report explores the transition of California defense industries from contracting with the federal government to manufacturing products for commercial use. It is based on research through 1993, and is the first of two reports by Mr. Nation. The second will review issues associated with the closing of military bases in California

    Flipping Biological Switches: Solving for Optimal Control: A Dissertation

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    Switches play an important regulatory role at all levels of biology, from molecular switches triggering signaling cascades to cellular switches regulating cell maturation and apoptosis. Medical therapies are often designed to toggle a system from one state to another, achieving a specified health outcome. For instance, small doses of subpathologic viruses activate the immune system’s production of antibodies. Electrical stimulation revert cardiac arrhythmias back to normal sinus rhythm. In all of these examples, a major challenge is finding the optimal stimulus waveform necessary to cause the switch to flip. This thesis develops, validates, and applies a novel model-independent stochastic algorithm, the Extrema Distortion Algorithm (EDA), towards finding the optimal stimulus. We validate the EDA’s performance for the Hodgkin-Huxley model (an empirically validated ionic model of neuronal excitability), the FitzHugh-Nagumo model (an abstract model applied to a wide range of biological systems that that exhibit an oscillatory state and a quiescent state), and the genetic toggle switch (a model of bistable gene expression). We show that the EDA is able to not only find the optimal solution, but also in some cases excel beyond the traditional analytic approaches. Finally, we have computed novel optimal stimulus waveforms for aborting epileptic seizures using the EDA in cellular and network models of epilepsy. This work represents a first step in developing a new class of adaptive algorithms and devices that flip biological switches, revealing basic mechanistic insights and therapeutic applications for a broad range of disorders

    Temporal bisection is influenced by ensemble statistics of the stimulus set

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    Although humans are well capable of precise time measurement, their duration judgments are nevertheless susceptible to temporal context. Previous research on temporal bisection has shown that duration comparisons are influenced by both stimulus spacing and ensemble statistics. However, theories proposed to account for bisection performance lack a plausible justification of how the effects of stimulus spacing and ensemble statistics are actually combined in temporal judgments. To explain the various contextual effects in temporal bisection, we develop a unified ensemble-distribution account (EDA), which assumes that the mean and variance of the duration set serve as a reference, rather than the short and long standards, in duration comparison. To validate this account, we conducted three experiments that varied the stimulus spacing (Experiment 1), the frequency of the probed durations (Experiment 2), and the variability of the probed durations (Experiment 3). The results revealed significant shifts of the bisection point in Experiments 1 and 2, and a change of the sensitivity of temporal judgments in Experiment 3-which were all well predicted by EDA. In fact, comparison of EDA to the extant prior accounts showed that using ensemble statistics can parsimoniously explain various stimulus set-related factors (e.g., spacing, frequency, variance) that influence temporal judgments

    Graduate Catalog 1997-1998

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