1,764 research outputs found

    Alien Registration- Feeney, F Leslie (Portland, Cumberland County)

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    https://digitalmaine.com/alien_docs/24564/thumbnail.jp

    Solly Robins and the Development of Products Liability Law in Minnesota

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    A Comparative Description of the New York and California Criminal Justice Systems: Arrest Through Arraignment

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    The purpose of this article is to outline by comparative description the arrest and related court processes for handling criminal defendants in New York City and Oakland, California. Hopefully the description will shed light on problem areas shared by both systems and will suggest ways of alleviating these problems. This article discusses the period from arrest through the first judicial appearance in each system. A later study, not yet completed, will detail the sequence between the first judicial appearance and the beginning of trial. For the purposes of convenience and because the term is widely used both in California and in New York, the defendant\u27s first appearance in court will be referred to as the arraignment

    Unbiased likelihood-free inference of the Hubble constant from light standard sirens

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    Multimessenger observations of binary neutron star mergers offer a promising path toward resolution of the Hubble constant ( H 0 ) tension, provided their constraints are shown to be free from systematics such as the Malmquist bias. In the traditional Bayesian framework, accounting for selection effects in the likelihood requires calculation of the expected number (or fraction) of detections as a function of the parameters describing the population and cosmology; a potentially costly and/or inaccurate process. This calculation can, however, be bypassed completely by performing the inference in a framework in which the likelihood is never explicitly calculated, but instead fit using forward simulations of the data, which naturally include the selection. This is likelihood-free inference (LFI). Here, we use density-estimation LFI, coupled to neural-network-based data compression, to infer H 0 from mock catalogues of binary neutron star mergers, given noisy redshift, distance and peculiar velocity estimates for each object. We demonstrate that LFI yields statistically unbiased estimates of H 0 in the presence of selection effects, with precision matching that of sampling the full Bayesian hierarchical model. Marginalizing over the bias increases the H 0 uncertainty by only 6% for training sets consisting of O ( 10 4 ) populations. The resulting LFI framework is applicable to population-level inference problems with selection effects across astrophysics

    Blended Learning: Overview and Recommendations for Successful Implementation

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    Purpose – The purpose of this paper is to identify key themes within the blended learning literature and to develop a series of practical recommendations to facilitate the successful adaptation and implementation of a ‘‘blended approach to learning delivery’’. Design/methodology/approach – The literature was reviewed and informed a series of recommendations for organisations considering adopting or implementing blended approaches to teaching and training. Findings – Several key themes centering on the importance of evaluation, skills training, pedagogy, human factors, technology and implementation were identified. The emerging themes informed a series of practical recommendations to assist organisations considering blended learning approaches. Findings highlight the current limitations in the evidence base. Practical implications – The identified key themes and practical recommendations provide a useful assist to organisations considering adopting and implementing blended approaches to teaching and training. Originality/value – The paper highlights key areas for development in the blended learning literature and at the organisational level

    What Stick Figures Tell Us about Irish Politics

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    This paper forms part of an ongoing research project using the technique of freehand drawing to study how students entering university in Ireland perceive the state of Irish politics and the wider society. By sidestepping the cognitive verbal processing routes through the use of freehand drawing, we find that students tend to present a more holistic, integrated and clearer understanding of the pertinent issues from their perspective

    Development and validation of the Cannabis Refusal Self-Efficacy Questionnaire (CRSEQ) in adult cannabis users in treatment

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    Background: There are few valid clinical assessment instruments for cannabis. Self-efficacy, or the ability of users to resist temptation, is a central feature of social cognitive theory. This study outlines the development and validation of the Cannabis Refusal Self-Efficacy Questionnaire (CRSEQ), which measures the situational confidence to refuse cannabis
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