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William Fleming 《Journal of The Franklin Institute》1880,110(3):199-209
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R. P. Clark Einar Lilja Eve Malmqvist Louis Arnaud Reid Edmund King John Downing C. M. Fleming Arnould Clausse G. de Landsheere Vernon Mallinson Paul Nash Tomio Goto M. A. Brimer Rudolf Cohen Gerhard Pause M. J. Langeveld W. E. Vliegenthart Emile Planchard 《International Review of Education/Internationale Zeitschrift für Erziehungswissenschaft/Revue internationale l'éducation》1963,9(3):351-382
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Robyn McCarthy Carolyn Blackburn Raja Mukherjee Kate Fleming Clare Allely Lauren Kirby Penny A. Cook 《British Journal of Special Education》2022,49(1):41-63
Three of the most prevalent developmental disorders (DDs) are autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) and fetal alcohol spectrum disorder (FASD). As part of a study screening for DDs in Greater Manchester, UK, a unique opportunity was taken to explore parents' experiences of receiving reports about their child's previously unrecognised DD. Six parents out of a possible 16 took part in interviews, which were analysed thematically. Findings drawn from parental responses revealed a number of barriers to accessing support for their child's additional needs, including perceived resistance from schools, particularly for quiet, well-behaved girls, and difficulty in accessing assessment or referrals. There needs to be greater awareness of additional needs in children without externalising behaviours, the presence of gender-specific differences in the presentation of DDs, and FASD as a commonly occurring DD. Ultimately, better support for children with DDs would reduce the burden of unmet needs for the children and their families, and for wider services. 相似文献
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Guan-Cheng Li Ronald Lai Alexander D’Amour David M. Doolin Ye Sun Vetle I. Torvik Amy Z. Yu Lee Fleming 《Research Policy》2014
Research into invention, innovation policy, and technology strategy can greatly benefit from an accurate understanding of inventor careers. The United States Patent and Trademark Office does not provide unique inventor identifiers, however, making large-scale studies challenging. Many scholars of innovation have implemented ad-hoc disambiguation methods based on string similarity thresholds and string comparison matching; such methods have been shown to be vulnerable to a number of problems that can adversely affect research results. The authors address this issue contributing (1) an application of the Author-ity disambiguation approach (0170 and 0175) to the US utility patent database, (2) a new iterative blocking scheme that expands the match space of this algorithm while maintaining scalability, (3) a public posting of the algorithm and code, and (4) a public posting of the results of the algorithm in the form of a database of inventors and their associated patents. The paper provides an overview of the disambiguation method, assesses its accuracy, and calculates network measures based on co-authorship and collaboration variables. It illustrates the potential for large-scale innovation studies across time and space with visualizations of inventor mobility across the United States. The complete input and results data from the original disambiguation are available at (http://dvn.iq.harvard.edu/dvn/dv/patent); revised data described here are at (http://funglab.berkeley.edu/pub/disamb_no_postpolishing.csv); original and revised code is available at (https://github.com/funginstitute/disambiguator); visualizations of inventor mobility are at (http://funglab.berkeley.edu/mobility/). 相似文献