Publications by authors named "Y N Foo"

Dengue fever is caused by any of the four serotypes of dengue viruses, DENV-1, DENV-2, DENV-3 and DENV-4 spread by mosquito bites and is important to distinguish between them due to lack of cross-protective neutralizing antibodies for each serotype. Secondary infections also put individuals at higher risk for severe dengue illness than those who have not been previously infected. Current preferred assays include reverse transcription-PCR (RT-PCR) and ELISA.

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This article demonstrates the integration of sensor fusion for pose estimation and data collection in tennis balls, aiming to create a smaller, less intrusive form factor for use in progressive learning during tennis practice. The study outlines the design and implementation of the Bosch BNO055 smart sensor, which features built-in managed sensor fusion capabilities. The article also discusses deriving additional data using various mathematical and simulation methods to present relevant orientation information from the sensor in Unity.

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This study aimed to investigate how the decomposing scale effect, technique effect and composition effect of foreign direct investment (FDI) impact on carbon dioxide (CO) emissions for 115 nations spanning 1999 to 2019 by employing Generalised Method of Moments (GMM) model. The results indicated that FDI, real GDP per capita, capital-labor ratio, institutional quality and urbanization increase CO emissions while the square of real GDP per capita and trade openness contributed to reducing CO emissions. Also, our findings fail to support Environmental Kuznets Curve (EKC) theory.

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In genetic association studies, haplotype data provide more refined information than data about separate genetic markers. However, large-scale studies that genotype hundreds to thousands of individuals may only provide results of pooled data. Methods for inferring haplotype frequencies from pooled genetic data that scale well with pool size rely on a normal approximation, which we observe to produce unreliable inference when applied to real data.

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The Social Intelligence Hypothesis (SIH) is one of the leading explanations for the evolution of cognition. Since its inception a vast body of literature investigating the predictions of the SIH has accumulated, using a variety of methodologies and species. However, the generalisability of the hypothesis remains unclear.

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