| 1. |
- Grasby, Katrina L., et al.
(författare)
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Estimating Classroom-Level Influences on Literacy and Numeracy: A Twin Study
- 2020
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Ingår i: Journal of Educational Psychology. - : AMER PSYCHOLOGICAL ASSOC. - 0022-0663 .- 1939-2176. ; 112:6, s. 1154-1166
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Tidskriftsartikel (refereegranskat)abstract
- Classroom-level influences on literacy skills in kindergarten through Grade 2, and on literacy and numeracy skills in Grades 3. 5, 7, and 9. were examined by comparing the similarity of twins who shared or did not share classrooms with each other. We analyzed two samples using structural equation modeling adapted for twin data. The first, Study 1, was of Australia-wide tests of literacy and numeracy, with 1,098; 1,080; 790, and 812 complete twin pairs contributing data for Grades 3, 5, 7, and 9, respectively. The second, Study 2, was of literacy tests from 753 twin pairs from kindergarten through Grade 2, which included a sample of United States and Australian students and was a reanalysis and extension of Byrne et al. (2010). Classroom effects were mostly nonsignificant; they accounted for only 2-3% of variance in achievement when averaged over tests and grades. Although the averaged effects may represent a lower-bound figure for classroom effects, and the design cannot detect classroom influences limited to individual students, the results are at odds with claims in public discourse of substantial classroom-level influences, which are mostly portrayed as teacher effects.
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| 2. |
- Larsen, P, et al.
(författare)
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Parallelizing more loops with compiler guided refactoring
- 2012
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Ingår i: Proceedings of the International Conference on Parallel Processing. 41st International Conference on Parallel Processing, ICPP 2012, Pittsburgh, PA, 10 - 13 September 2012. - 0190-3918. - 9780769547961 ; , s. 410-419
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Konferensbidrag (refereegranskat)abstract
- The performance of many parallel applications relies not on instruction-level parallelism but on loop-level parallelism. Unfortunately, automatic parallelization of loops is a fragile process, many different obstacles affect or prevent it in practice. To address this predicament we developed an interactive compilation feedback system that guides programmers in iteratively modifying their application source code. This helps leverage the compiler's ability to generate loop-parallel code. We employ our system to modify two sequential benchmarks dealing with image processing and edge detection, resulting in scalable parallelized code that runs up to 8.3 times faster on an eight-core Intel Xeon 5570 system and up to 12.5 times faster on a quad-core IBM POWER6 system. Benchmark performance varies significantly between the systems. This suggests that semi-automatic parallelization should be combined with target-specific optimizations. Furthermore, comparing the first benchmark to manually-parallelized, hand-optimized pthreads and OpenMP versions, we find that code generated using our approach typically outperforms the pthreads code (within 93-339%). It also performs competitively against the OpenMP code (within 75-111%). The second benchmark outperforms manually-parallelized and optimized OpenMP code (within 109-242%).
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| 3. |
- Phrochaska, JO, et al.
(författare)
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Engage in the Process of Change : Facts and Methods
- 2012
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- This textbook advocates patients’ empowerment for improving health outcomes and health system performance. It emphasizes the important implications of improving communication between patient and health professionals and the adherence to treatment regimens. Based on research including theories of Stages of Change and Decision Balance, and by incorporating examples from daily clinical practice, this document sets out the guiding principles to support health professionals in better understanding and empowering patients to change lifestyle and behaviour. These principles describe a general approach to patients’ empowerment, consisting of three main tools: the LINE, the BOX and the CIRCLE. It specifically addresses the major risk factors such as smoking, diet, alcohol consumption and physical activity by putting the focus of action upstream to the causes of these types of lifestyle and behaviour. It is built on accumulating evidence, which shows that tailoring interventions to the characteristics of the target audience is key for success.
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