45,670 research outputs found

    Supporting disabled parents' involvement in their children's education. Good practice guidance for schools

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    In this guidance you will find the voices of a range of disabled parents describing how good practice in schools has helped them to be involved in their children's education. The guidance is based on the findings of a research project. It is intended for people working in schools, especially heads and teachers seeking to improve parental participation and inclusion. Education policy makers and Inspectorates may find it helpful for informing their reviews of policy and practice. It may also be of interest to disabled parents and the disability voluntary sector. The document contains information about current UK policies on parental involvement and describes the research project which investigated the perceptions of disabled parents. It looks at five different aspects of parental involvement, giving examples of good practice and highlighting suggestions as these emerged from the research project. Key points are summarised in the conclusion, while the appendices include useful resources and contacts

    The Functions and Practices of a Television Network

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    An Iterative Learning Control disturbance rejection approach is considered and it is shown that iteration variant learning filters can asymptotically give the controlled variable zero error and zero variance. Convergence is achieved with the assumption that the relative model error is less than one. The transient response of the suggested ILC algorithm is also discussed using a simulation example

    Constraining Primordial Magnetism

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    Primordial magnetic fields could provide an explanation for the galactic magnetic fields observed today, in which case they may also leave interesting signals in the CMB and the small-scale matter power spectrum. We discuss how to approximately calculate the important non-linear magnetic effects within the guise of linear perturbation theory, and calculate the matter and CMB power spectra including the SZ contribution. We then use various cosmological datasets to constrain the form of the magnetic field power spectrum. Using solely large-scale CMB data (WMAP7, QUaD and ACBAR) we find a 95% CL on the variance of the magnetic field at 1 Mpc of B_\lambda < 6.4 nG. When we include SPT data to constrain the SZ effect, we find a revised limit of B_\lambda < 4.1 nG. The addition of SDSS Lyman-alpha data lowers this limit even further, roughly constraining the magnetic field to B_\lambda < 1.3 nG.Comment: 12 pages, 9 figure

    Appropriating the Returns from Industrial Research and Development

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    macroeconomics, industrial research and development, patent law

    Data Accuracy and Completeness of Monthly Midwifery Returns Indicators of Ejisu Juaben Health Directorate of Ghana

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    The broad range of activities contained in the provision of Primary Health Care (PHC) places a burden on providers to make optimal use of limited resources to achieve maximal health benefit to the population served. All too often, ad hoc decisions and personal preferences guide PHC resource allocations, making accountability for results impossible. Problems constraining Routine Health Information System (RHIS) performance in low-income countries include: poor data quality; limited use of available information; weaknesses in how data are analyzed and poor RHIS management practices. This study sought to investigate these constraints. A non-experimental before and after study involving bassline assessment of data accuracy and completeness, application of innovative strategies such as mentoring and coaching of Health Information Officers in data quality improvement process. Coincidentally, the intervention improved both data accuracy and completeness performance significantly among the participating facilities. The outstanding performance may be attributed to management's new orientation and growing interest towards quality data. Engaging frontline staff in data quality improvement work and provision of regular feedback leads to improvement in data accuracy and completeness. This has implications for decision-making and resource allocation, especially in low-income countries, where the routine health information management system relies heavily on paper work
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