1,236 research outputs found

    Psychologists\u27 use of, familiarity, and comfort with Alcoholics Anonymous slogans in psychotherapy

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    Alcoholics Anonymous (AA) is often included as an adjunct to psychotherapy for individuals suffering from addiction. As a culture unto itself, AA has its own customs, philosophy, and language, including what is commonly referred to as AA slogans. This study investigated the frequency with which psychologists use these slogans as well as how familiar and comfortable they are with them. Additionally this study investigated whether these variables were related to psychologists\u27 work setting or percentage of addicted caseload. Using a mix of quantitative and qualitative methodologies, results indicate that more than 80% of respondents utilize AA slogans at least some of the time. Familiarity varied greatly depending on the slogan. Over 80% of those surveyed are at least somewhat comfortable using AA slogans in psychotherapy. Work experience in an addiction treatment setting was a mediating variable for familiarity as well as use of specific AA slogans, though not for overall use of AA slogans or levels of comfort. A higher rate of use and familiarity was related to a higher caseload of addicted patients and comfort was not related to caseload. Frequency of slogan use, familiarity and comfort were significantly positively related to frequency of referral to AA. Themes regarding reasons for discomfort using AA slogans as well as their clinical utility were also explored

    A Local Stochastic Algorithm for Separation in Heterogeneous Self-Organizing Particle Systems

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    We present and rigorously analyze the behavior of a distributed, stochastic algorithm for separation and integration in self-organizing particle systems, an abstraction of programmable matter. Such systems are composed of individual computational particles with limited memory, strictly local communication abilities, and modest computational power. We consider heterogeneous particle systems of two different colors and prove that these systems can collectively separate into different color classes or integrate, indifferent to color. We accomplish both behaviors with the same fully distributed, local, stochastic algorithm. Achieving separation or integration depends only on a single global parameter determining whether particles prefer to be next to other particles of the same color or not; this parameter is meant to represent external, environmental influences on the particle system. The algorithm is a generalization of a previous distributed, stochastic algorithm for compression (PODC \u2716) that can be viewed as a special case of separation where all particles have the same color. It is significantly more challenging to prove that the desired behavior is achieved in the heterogeneous setting, however, even in the bichromatic case we focus on. This requires combining several new techniques, including the cluster expansion from statistical physics, a new variant of the bridging argument of Miracle, Pascoe and Randall (RANDOM \u2711), the high-temperature expansion of the Ising model, and careful probabilistic arguments

    2a: Illinois Carbon Dioxide Emissions Activity

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    Your goal for this activity is to compare the different sources of carbon dioxide emissions, stemming from the consumption of fossil fuels, in Illinois. To do this you will be working with data spanning from 1980 to 2012

    3: The Current Extinction: Defaunation & Ecosystem Disruption

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    Information taken from: Dirzo, R. et al (2014). Defaunation in the Anthropocene. Science, 345(401). Scientists estimate, conservatively, that there are 5 to 9 million different animal species on the planet. But that number is continually changing, and unfortunately, dropping, as we are likely losing 11,000- 58,000 species annually, and evidence suggests that on average, there has been a decline of about 28% in terms of numbers of individuals within a species over the last four decades. Both of these statistics are vitally important. The critical nature of the first is perhaps more obvious, as total loss of a species is irrecoverable, but the second, a decline in population sizes of species, though more subtle may actually have more immediate impacts and represents an area where positive progress can be made

    1. Investigating the impact of changes in carbon dioxide concentration on ecosystems

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    Question: Does the concentration of carbon dioxide affect air temperature in a closed environment

    School-Based Tier II and III RTI Interventions for Children Affected by Trauma

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    We partnered with Wendi Trummert, DrOT, OTR/L, an occupational therapist in a school district in Puyallup, Washington. We collaborated to examine what school-based Tier II & Tier III Response to Intervention (RTI) interventions can be used by occupational therapists, teachers, and paraeducators to improve school participation in children aged 3-13 who have experienced trauma. It was found that various forms of Cognitive Behavioral Therapy (CBT) interventions may reduce post-traumatic stress disorder (PTSD) symptoms, depression, and anxiety in children age birth - 13 who have experienced trauma. CBT was the most effective intervention based on the current literature. Additionally, there is emerging research on six other interventions which may improve school participation for children who have experienced trauma. To translate this knowledge, a manual of research-based interventions was created for the collaborating clinician as well as a kit of one of the interventions deemed most appropriate for the school setting by the collaborating clinician. The Bounce Back (Langley & Jaycox, 2015) intervention was perceived as the most feasible and appropriate for her practice. A satisfaction survey was provided to the collaborating clinician to monitor the effectiveness of the intervention kit. We recommend that school-based clinicians familiarize themselves with evidence-based and academically relevant intervention for children who have experienced trauma
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