22 research outputs found

    Effects of coherence on temporal resolution

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    Measuring small separations between two optical sources, either in space or in time, constitute an important metrological challenge as standard intensity-only measurements fail for vanishing separations. Contrarily, it has been established that appropriate coherent mode projections can appraise arbitrarily small separations with quantum-limited precision. However, the question of whether the optical coherence brings any metrological advantage to mode projections is still a point of debate. Here, we elucidate this problem by experimentally investigating the effect of varying coherence on estimating the temporal separation between two single-photon pulses. We show that, for an accurate interpretation, special attention must be paid to properly normalize the quantum Fisher information to account for the strength of the signal. Our experiment demonstrates that coherent mode projections are optimal for any degree of coherence.Comment: 7 pages, 4 figures. To be published in Physical Review Researc

    Innovation of MOOC for future technologists

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    Hitherto, MOOC has become one of the platforms in teaching and learning. Long life learning and self-learning skills are essential for students’ survival especially in the 4.0 industrial revolution era. Moreover, Problem-based learning (PBL) approach is suitable for the MOOC platform as it offers an innovative technique that engages learners for independent learning and problem solving activities. Hence, MOOC is a tool for PBL implementation. This paper developed MOOC integrated PBL learning (MIPBL) model based on ADDIE’s design model. The model was intended for future technologists in critical and creative thinking classroom. The model is beneficial in inducing creative and active participation from learners which subsequently trigger technical competence and soft skills. Future study should focus on the management implication while executing the MIPBL model in classroom

    INNOVATION OF MOOC FOR FUTURE TECHNOLOGISTS

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    Hitherto, MOOC has become one of the platforms in teaching and learning. Long life learning and self-learning skills are essential for students’ survival especially in the 4.0 industrial revolution era. Moreover, Problem-based learning (PBL) approach is suitable for the MOOC platform as it offers an innovative technique that engages learners for independent learning and problem solving activities. Hence, MOOC is a tool for PBL implementation. This paper developed MOOC integrated PBL learning (MIPBL) model based on ADDIE’s design model. The model was intended for future technologists in critical and creative thinking classroom. The model is beneficial in inducing creative and active participation from learners which subsequently trigger technical competence and soft skills. Future study should focus on the management implication while executing the MIPBL model in classroom

    Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images

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    Glaucoma is one of the leading causes of blindness. There is no cure for glaucoma but detection at its earliest stage and subsequent treatment can aid patients to prevent blindness. Currently, optic disc and retinal imaging facilitates glaucoma detection but this method still requires manual post-imaging modifications that are time-consuming and do not totally remove subjectivity in image assessment. Therefore, it is necessary to automate this process. In this work, we have first proposed a novel computer aided approach for automatic glaucoma detection based on Regional Image Features Model (RIFM) which can automatically perform classification between normal and glaucoma images on the basis of regional information. Different from all the existing methods, our approach can extract both geometric (e.g. morphometric properties) and non-geometric based properties (e.g. pixel appearance/intensity values, texture) from images and significantly increase the classification performance. Our proposed approach consists of three new major contributions including automatic localisation of optic disc, automatic segmentation of disc, and classification between normal and glaucoma based on geometric and non-geometric properties of different regions of an image. We have compared our method with existing approaches and tested it on both fundus and Scanning laser ophthalmoscopy (SLO) images. The experimental results show that our proposed approach outperforms the state-of-the-art approaches using either geometric or non-geometric properties. The overall glaucoma classification accuracy for fundus is 94.4% and accuracy of detection of suspicion of glaucoma in SLO images is 93.9%

    Species Diversity, Community Dynamics, and Metabolite Kinetics of the Microbiota Associated with Traditional Ecuadorian Spontaneous Cocoa Bean Fermentations▿

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    Traditional fermentations of the local Ecuadorian cocoa type Nacional, with its fine flavor, are carried out in boxes and on platforms for a short time. A multiphasic approach, encompassing culture-dependent and -independent microbiological analyses of fermenting cocoa pulp-bean samples, metabolite target analyses of both cocoa pulp and beans, and sensory analysis of chocolates produced from the respective fermented dry beans, was applied for the investigation of the influence of these fermentation practices on the yeast and bacterial species diversity and community dynamics during cocoa bean fermentation. A wide microbial species diversity was found during the first 3 days of all fermentations carried out. The prevailing ethanol-producing yeast species were Pichia kudriavzevii and Pichia manshurica, followed by Saccharomyces cerevisiae. Leuconostoc pseudomesenteroides (glucose and fructose fermenting), Fructobacillus tropaeoli-like (fructose fermenting), and Lactobacillus fermentum (citrate converting, mannitol producing) represented the main lactic acid bacterial species in the fermentations studied, resulting in intensive heterolactate metabolism of the pulp substrates. Tatumella saanichensis and Tatumella punctata were among the members of the family Enterobacteriaceae present during the initial phase of the cocoa bean fermentations and could be responsible for the production of gluconic acid in some cases. Also, a potential new yeast species was isolated, namely, Candida sorbosivorans-like. Acetic acid bacteria, whose main representative was Acetobacter pasteurianus, generally appeared later during fermentation and oxidized ethanol to acetic acid. However, acetic acid bacteria were not always present during the main course of the platform fermentations. All of the data taken together indicated that short box and platform fermentation methods caused incomplete fermentation, which had a serious impact on the quality of the fermented dry cocoa beans
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