27,548 research outputs found

    Development and Evaluation of the Nebraska Assessment of Computing Knowledge

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    One way to increase the quality of computing education research is to increase the quality of the measurement tools that are available to researchers, especially measures of students’ knowledge and skills. This paper represents a step toward increasing the number of available thoroughly-evaluated tests that can be used in computing education research by evaluating the psychometric properties of a multiple-choice test designed to differentiate undergraduate students in terms of their mastery of foundational computing concepts. Classical test theory and item response theory analyses are reported and indicate that the test is a reliable, psychometrically-sound instrument suitable for research with undergraduate students. Limitations and the importance of using standardized measures of learning in education research are discussed

    Using Bayesian variable selection methods to choose style factors in global stock return models

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    This paper applies Bayesian variable selection methods from the statistics literature to give guidance in the decision to include/omit factors in a global (linear factor) stock return model. Once one has accounted for country and sector, it is possible to see which style or styles best explains current asset returns. This study does not find compelling evidence for global styles as useful explanatory factors, once country and sector have been accounted for

    Hope as a Source of Resilience in Later Adulthood

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    This research provided a preliminary investigation of how variations in trait and state hope are associated with positive adaptation to stress in later adulthood. Trait hope and neuroticism were measured by questionnaires and state hope, stress, and negative emotions were assessed daily for 45 days. Results from multilevel random coefficient modeling analyses suggested that daily hope provides protective benefits by keeping negative emotions low, while also contributing to adaptive recovery from stress. The dynamic linkages between daily hope, stress, and emotion were further moderated by individual differences in trait hope. Compared with those low in trait hope, high-hope individuals showed diminished stress reactivity and more effective emotional recovery

    Theta Graph Designs

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    We solve the design spectrum problem for all theta graphs with 10, 11, 12, 13, 14 and 15 edges

    Including design in e-manufacturing

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    This paper reviews major issues in the implementation of e-manufacturing, particularly the design aspects. It will examine recent progress, drawing out particular issues that are being addressed. Use will be made of the work by the author and colleagues to devise rule-based design and Internet-based control of machines to illustrate how these developments affect the integrated e-manufacturing environment. A dynamic Simulink model of the way e-manufacture is affected by overall design delays is used to evaluate general solutions for partial and complete e-based companies. These models show how changing to improved designs reduces WI

    On the reliability of mean-field methods in polymer statistical mechanics

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    The reliability of the mean-field approach to polymer statistical mechanics is investigated by comparing results from a recently developed lattice mean-field theory (LMFT) method to statistically exact results from two independent numerical Monte Carlo simulations for the problems of a polymer chain moving in a spherical cavity and a polymer chain partitioning between two confining spheres of different radii. It is shown that in some cases the agreement between the LMFT and the simulation results is excellent, while in others, such as the case of strongly fluctuating monomer repulsion fields, the LMFT results agree with the simulations only qualitatively. Various approximations of the LMFT method are systematically estimated, and the quantitative discrepancy between the two sets of results is explained with the diminished accuracy of the saddle-point approximation, implicit in the mean-field method, in the case of strongly fluctuating fields.Comment: 27 pages, 9 figure

    An exploratory study to identify risk factors for the development of capecitabine-induced palmar plantar erythrodysesthesia (PPE)

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    Aims: to identify pre-treatment risk factors for the development of Palmar Plantar Erythrodysesthesia in participants receiving capecitabine monotherapy. Specifically the hypothesis that avoidance of activities that cause friction and pressure cause Palmar Plantar Erythrodysesthesia was tested. Background. Previous literature showed contradictory evidence on the subject of predictors of chemotherapy-induced Palmar Plantar Erythrodysesthesia. There is a lack of empirical evidence to support the theory that Palmar Plantar Erythrodysesthesia is caused by damage to the microcapillaries due to everyday activities that cause friction or pressure to the hands or feet. Design. Prospective epidemiological study of risk factors. Methods. Prospective data collection. All patients prior to commencing capecitabine monotherapy between 11 June 2009–31 December 2010, were offered recruitment into the study and followed up for six cycles of treatment (n = 174). Data were collected during semi-structured interviews, from participants’ diaries, physical examination of the hands and feet and review of notes. Data relating to activities that cause friction, pressure or heat were collected. Data were analysed using bivariate (chi-square and independent groups Student’s t) tests where each independent variable was analysed against Palmar Plantar Erythrodysesthesia. Results. The only variables that were associated with an increased risk of Palmar Plantar Erythrodysesthesia were a tendency to have warm hands and pre-existing inflammatory disease. Conclusions. This study gives no support for the hypothesis that avoidance of activities that cause friction and pressure cause Palmar Plantar Erythrodysesthesia
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