4,426 research outputs found

    Educational aspirations in inner city schools

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    The research aimed to assess the nature and level of pupils’ educational aspirations and to elucidate the factors that influence these aspirations. A sample of five inner city comprehensive secondary schools were selected by their Local Authority because of poor pupil attendance, below average examination results and low rates of continuing in full-time education after the age of 16. Schools were all ethnically mixed and co-educational. Over 800 pupils aged 12-14 completed a questionnaire assessing pupils’ experience of home, school and their peers. A sub-sample of 48 pupils selected by teachers to reflect ethnicity and ability levels in individual schools also participated in detailed focus group interviews. There were no significant differences in aspirations by gender or year group, but differences between ethnic groups were marked. Black African, Asian Other and Pakistani groups had significantly higher educational aspirations than the White British group, who had the lowest aspirations. The results suggest the high aspirations of Black African, Asian Other and Pakistani pupils are mediated through strong academic self-concept, positive peer support, a commitment to schooling and high educational aspirations in the home. They also suggest that low educational aspirations may have different mediating influences in different ethnic groups. The low aspirations of White British pupils seem to relate most strongly to poor academic self-concept and low educational aspirations in the home, while for Black Caribbean pupils disaffection, negative peers and low commitment to schooling appear more relevant. Interviews with pupils corroborated the above findings and further illuminated the factors students described as important in their educational aspirations. The results are discussed in relation to theories of aspiration which stress its nature as a cultural capacity

    LOW-COST AUTOMATED FIBER PIGTAILING MACHINE

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    At present, the high cost of optoelectronic (OE) devices is caused in part by the labor-intensive processes involved with packaging. Automating the packaging processes should result in a significant cost reduction. One of the most labor-intensive steps is aligning and attaching the fiber to the OE device, the so-called pigtailing process. The goal of this 2-year ARPA-funded project is to design and build 3 low-cost machines to perform sub-micron alignments and attachments of single-made fibers to different OE devices. These Automated Fiber Pigtailing Machines (AFPMs) are intended to be compatible with a manufacturing environment and have a modular design for standardization of parts and machine vision for maximum flexibility. This work is a collaboration among Uniphase Telecommunications Products (formerly United Technologies Photonics, UTP), Ortel, Newport/Klinger, the Massachusetts Institute of Technology Manufacturing Institute (MIT), and Lawrence Livermore National Laboratory (LLNL). UTP and Ortel are the industrial partners for whom two of the AFPMs are being built. MIT and LLNL make up the design and assembly team of the project, while Newport/Klinger is a potential manufacturer of the AFPM and provides guidance to ensure that the design of the AFPM is marketable and compatible with a manufacturing environment. The AFPM for UTP will pigtail LiNbO{sub 3} waveguide devices and the AFPM for Ortel will pigtail photodiodes. Both of these machines will contain proprietary information, so the third AFPM, to reside at LLNL, will pigtail a non-proprietary waveguide device for demonstrations to US industry

    The visual presidency of Donald Trump\u27s first hundred days: Political image making and digital media

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    From frequent scrum photos of the president holding up signed executive orders in the Oval Office to images of the president energetically sitting behind the wheel of a Mack truck parked outside his back door, like previous administrations, visuals have been central to Donald Trump\u27s presidency. This chapter analyzes the visuals on White House social media accounts (i.e., Twitter and Facebook) in Trump\u27s first 100 days office and explores how his administration used visuals as an essential vehicle for storytelling, image building, and persuading. Building on previous research on the communicative functions of visual symbols in politics, the chapter finds that the Trump administration used socially-mediated images to build an image based on success, power, and leadership and to legitimize his new administration

    Examining well-being among college students with Attention-Deficit/Hyperactivity Disorder (ADHD) and co-morbid diagnoses: An integrative approach to understanding mental health

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    Deficit and dysfunction in college students with ADHD diagnoses are now well studied and known to be commonplace in clinical psychology research literature (see Green & Rabiner, 2014, for review). However, areas of positive functioning and psychological well-being have not been well examined. This dissertation aims to investigate the extent to aspects of well-being may be more or less developed among college students carrying a diagnosis of ADHD, in comparison to their college peers. This examination utilized a subset of data collected from annual national “Healthy Minds” survey of college student mental health in the United States (Eisenberg, D., Hunt, J.B., Speer, N., 2013). In total, well-being profiles were examined across 4 distinct groups: 1) students reporting ADHD diagnosis with no co-morbid psychiatric diagnoses, 2) students reporting ADHD diagnosis in addition to co-morbid diagnoses of an anxiety and/or depressive disorder, 3) students reporting an anxiety and/or depressive disorder without ADHD diagnosis, and 4) a comparison group of peers who indicate no history of psychiatric diagnosis. Overall, results suggest ADHD diagnosis alone was not associated with any significant reduction in well-being, and observed deficits may be best accounted for by co-morbid emotional disorder diagnosis. Students indicating diagnoses of anxiety and/or depression were more likely to experience reduced well-being in comparison to their peers across a variety of domains. Implications of these results are discussed further, particularly in regard to understanding well-being among individuals with mental health disorder diagnoses

    Efficient implementation of the Gutzwiller variational method

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    We present a self-consistent numerical approach to solve the Gutzwiller variational problem for general multi-band models with arbitrary on-site interaction. The proposed method generalizes and improves the procedure derived by Deng et al., Phys. Rev. B. 79 075114 (2009), overcoming the restriction to density-density interaction without increasing the complexity of the computational algorithm. Our approach drastically reduces the problem of the high-dimensional Gutzwiller minimization by mapping it to a minimization only in the variational density matrix, in the spirit of the Levy and Lieb formulation of DFT. For fixed density the Gutzwiller renormalization matrix is determined as a fixpoint of a proper functional, whose evaluation only requires ground-state calculations of matrices defined in the Gutzwiller variational space. Furthermore, the proposed method is able to account for the symmetries of the variational function in a controlled way, reducing the number of variational parameters. After a detailed description of the method we present calculations for multi-band Hubbard models with full (rotationally invariant) Hund's rule on-site interaction. Our analysis shows that the numerical algorithm is very efficient, stable and easy to implement. For these reasons this method is particularly suitable for first principle studies -- e.g., in combination with DFT -- of many complex real materials, where the full intra-atomic interaction is important to obtain correct results.Comment: 19 pages, 7 figure
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