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- 저자 : David Sinclair (검색결과 5 건)
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Nathalie Sinclair,David Pimm 환태평양유아교육연구학회 2015 Asia-Pacific journal of research in early childhoo Vol.9 No.3
In this paper, we explore a richer sense of finger gnosis (finger knowledge) with respect to three- and four-year-olds’ interactions with a novel iPad application (TouchCounts), focusing on their responses to an “inverse subitising” task. The direct and tactile nature of their engagement with TouchCounts leads to a striking shift from incrementing using the index finger to deployment of several fingers all-at-once (in a cardinal touch gesture) to achieve a given target number that is then spoken by the iPad. This form of finger representation differs from the more ordinally-based differentiation of fingers that is discussed in the psychology literature.
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Roder, David,Webster, Fleur,Zorbas, Helen,Sinclair, Sue Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.1
Aboriginal and Torres Strait Islander people comprise about 2.5% of the Australian population. Cancer registry data indicate that their breast cancer survivals are lower than for other women but the completeness and accuracy of Indigenous descriptors on registries are uncertain. We followed women receiving mammography screening in BreastScreen to determine differences in screening experiences and survivals from breast cancer by Aboriginal and Torres Strait Islander status, as recorded by BreastScreen. This status is self-reported and used in BreastScreen accreditation, and is considered to be more accurate. The study included breast cancers diagnosed during the period of screening and after leaving the screening program. Design: Least square regression models were used to compare screening experiences and outcomes adjusted for age, geographic remoteness, socio-economic disadvantage, screening period and round during 1996-2005. Survival of breast cancer patients from all causes and from breast cancer specifically was compared for the 1991-2006 diagnostic period using linked cancer-registry data. Cox proportional hazards regression was used to adjust for socio-demographic differences, screening period, and where available, tumour size, nodal status and proximity of diagnosis to time of screen. Results: After adjustment for socio-demographic differences and screening period, Aboriginal and Torres Strait Islander women participated less frequently than other women in screening and re-screening although this difference appeared to be diminishing; were less likely to attend post-screening assessment within the recommended 28 days if recalled for assessment; had an elevated ductal carcinoma in situ but not invasive cancer detection rate; had larger breast cancers; and were more likely than other women to be treated by mastectomy than complete local excision. Linked cancer registry data indicated that five-year year survivals of breast cancer cases from all causes of death were 81% for Aboriginal and Torres Strait Islander women, compared with 90% for other women, and that the former had larger breast cancers that were more likely to have nodal spread at diagnosis. After adjusting for socio-demographic factors, tumour size, nodal spread and time from last screen to diagnosis, Aboriginal and Torres Strait Islander women had approximately twice the risk of death from breast cancer as other women. Conclusions: Aboriginal and Torres Strait Islander women have less favourable screening experiences and those diagnosed with breast cancer (either during the screening period or after leaving the screening program) have lower survivals that persist after adjustment for socio-demographic differences, tumour size and nodal status.
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INVESTING IN EMERGING MARKETS: AN ANALYSIS AT COUNTRY, INDUSTRY AND COMPANY LEVELS
C Donald Sinclair,A Alasdair Lonie,David M Power,Suzanne G M Fifield People&Global Business Association 1999 Global Business and Finance Review Vol.4 No.1
Over the last decade a number of studies have examined the costs and benefits of investing in equities traded in emerging markets. Many of these studies have focused on aggregate index data supplied by the IFC. By contrast, the present investigation employs disaggregated weekly returns data for the top 20 shares, by market value, from 17 emerging markets between 1991 and 1996. It examines the possible gains from international diversification into these markets and determines whether knowledge of the country in which a selected company is located is more important than knowledge of the industry in which it operates.
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7T Magnetic Resonance Imaging Quantification of Brain Glutamate in Acute Ischaemic Stroke
John-Paul Nicolo,Bradford Moffat,David K. Wright,Benjamin Sinclair,Andrew Neal,Elaine Lui,Patricia Desmond,Rebecca Glarin,Kathryn A. Davis,Ravinder Reddy,Bernard Yan,Terence J. O’Brien,Patrick Kwan 대한뇌졸중학회 2021 Journal of stroke Vol.23 No.2
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A Neural Network and Kalman Filter Hybrid Approach for GPS/INS Integration
Jianguo Jack Wang,Jinling Wang,David Sinclair,Leo Watts 한국항해항만학회 2006 한국항해항만학회 학술대회논문집 Vol.1 No.-
It is well known that Kalman filtering is an optimal real-time data fusion method for GPS/INS integration. However, it has some limitations in terms of stability, adaptability and observability. A Kalman filter can perform optimally only when its dynamic model is correctly defined and the noise statistics for the measurement and process are completely known. It is found that estimated Kalman filter states could be influenced by several factors, including vehicle dynamic variations, filter tuning results, and environment changes, etc., which are difficult to model. Neural networks can map input-output relationships without apriori knowledge about them; hence a proper designed neural network is capable of learning and extracting these complex relationships with enough training. This paper presents a GPS/INS integrated system that combines Kalman filtering and neural network algorithms to improve navigation solutions during GPS outages. An Extended Kalman filter estimates INS measurement errors, plus position, velocity and attitude errors etc. Kalman filter states, and gives precise navigation solutions while GPS signals are available. At the same time, a multi-layer neural network is trained to map the vehicle dynamics with corresponding Kalman filter states, at the same rate of measurement update. After the output of the neural network meets a similarity threshold, it can be used to correct INS measurements when no GPS measurements are available. Selecting suitable inputs and outputs of the neural network is critical for this hybrid method. Detailed analysis unveils that some Kalman filter states are highly correlated with vehicle dynamic variations. The filter states that heavily impact system navigation solutions are selected as the neural network outputs. The principle of this hybrid method and the neural network design are presented. Field test data are processed to evaluate the performance of the proposed method.
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