946 research outputs found

    Disaster response and recovery training

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    Presentation used for staff training of Colorado State University Libraries' Metadata and Preservation Services Department

    A Cognitive-Behavioral Treatment for Depression in Native American Middle-School Students

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    Depression and suicide are serious conditions among Native American adolescents. Despite the need for effective treatment approaches in this population, there continues to be a dearth of empirical research in this area. Intervention studies examining Native American adults at risk for depression and Native American youth at risk for suicide have found effectiveness utilizing group skill-based interventions. Group cognitive-behavioral therapy has demonstrated effectiveness among Caucasian adolescents; however, its effectiveness has never been examined with Native American youth experiencing depressive symptoms. The current study modified, implemented, and evaluated a cognitive-behavioral intervention for depression among Native American middle-school students. A modification of the Coping With Depression-Adolescent (CWD-A) course (Clarke, Lewinsohn, & Hops, 1990) for middle school students (Kahn, Kehle, Jenson, & Clark, 1990) was administered to a small group of students in a Midwestern reservation school, identified as having moderate to severe depressive symptoms based on the Children\u27s Depression Inventory. The class was also modified for cultural relevance and sensitivity and school scheduling. Nineteen of 36 eligible students participated and were assigned to the intervention (n = 10) or wait-list control group (n = 9), using a randomized block design. At pre-intervention, post-intervention, and 3-month follow-up students\u27 depressive and anxiety symptoms were measured. At post-intervention, intervention group students were interviewed to determine class acceptability and the usefulness of class materials. Findings indicated students in both groups had decreased depressive symptoms across the intervention period, with intervention group students having a faster decrease in interpersonal problems. Students in both groups had decreased anxiety symptoms from pre-to post-intervention; however, only intervention group students continued to have lower anxiety at follow-up. Both groups of students had lower school absence rates while attending the class and intervention group students were more likely to remain in the school district throughout the year. Students’ reports indicated that most students enjoyed the class and would take the class again. Students also reported the class helped improve their mood. Additionally, students in both groups decreased their depressive symptoms faster than other students in the school with depressive symptoms who did not participate in the class evaluation

    THE MAMMALS OF PARACOU, FRENCH GUIANA: A NEOTROPICAL LOWLAND RAINFOREST FAUNA PART 2. NONVOLANT SPECIES

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    Electron-electron interaction effects in quantum point contacts

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    We consider electron-electron interaction effects in quantum point contacts on the first quantization plateau, taking into account all scattering processes. We compute the low-temperature linear and nonlinear conductance, shot noise, and thermopower, by perturbation theory and a self-consistent nonperturbative method. On the conductance plateau, the low-temperature corrections are solely due to momentum-nonconserving processes that change the relative number of left- and right-moving electrons. This leads to a suppression of the conductance for increasing temperature or voltage. The size of the suppression is estimated for a realistic saddle-point potential, and is largest in the beginning of the conductance plateau. For large magnetic field, interaction effects are strongly suppressed by the Pauli principle, and hence the first spin-split conductance plateau has a much weaker interaction correction. For the nonperturbative calculations, we use a self-consistent nonequilibrium Green's function approach, which suggests that the conductance saturates at elevated temperatures. These results are consistent with many experimental observations related to the so-called 0.7 anomaly

    Intershell resistance in multiwall carbon nanotubes: A Coulomb drag study

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    We calculate the intershell resistance R_{21} in a multiwall carbon nanotube as a function of temperature T and Fermi level (e.g. a gate voltage), varying the chirality of the inner and outer tubes. This is done in a so-called Coulomb drag setup, where a current I_1 in one shell induces a voltage drop V_2 in another shell by the screened Coulomb interaction between the shells neglecting the intershell tunnelling. We provide benchmark results for R_{21}=V_2/I_1 within the Fermi liquid theory using Boltzmann equations. The band structure gives rise to strongly chirality dependent suppression effects for the Coulomb drag between different tubes due to selection rules combined with mismatching of wave vector and crystal angular momentum conservation near the Fermi level. This gives rise to orders of magnitude changes in R_{21} and even the sign of R_{21} can change depending on the chirality of the inner and outer tube and misalignment of inner and outer tube Fermi levels. However for any tube combination, we predict a dip (or peak) in R_{21} as a function of gate voltage, since R_{21} vanishes at the electron-hole symmetry point. As a byproduct, we classified all metallic tubes into either zigzag-like or armchair-like, which have two different non-zero crystal angular momenta m_a, m_b and only zero angular momentum, respectively.Comment: 17 pages, 10 figure

    Replicating financial market dynamics with a simple self-organized critical lattice model

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    We explore a simple lattice field model intended to describe statistical properties of high frequency financial markets. The model is relevant in the cross-disciplinary area of econophysics. Its signature feature is the emergence of a self-organized critical state. This implies scale invariance of the model, without tuning parameters. Prominent results of our simulation are time series of gains, prices, volatility, and gains frequency distributions, which all compare favorably to features of historical market data. Applying a standard GARCH(1,1) fit to the lattice model gives results that are almost indistinguishable from historical NASDAQ data.Comment: 20 pages, 33 figure

    Responses of a wetland ecosystem to the controlled introduction of invasive fish

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136368/1/fwb12900_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136368/2/fwb12900.pd
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