2,987 research outputs found

    Impact of oral disease among the elderly in Hong Kong

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    Study of interfacial reaction and its impact on electric properties of Hf-Al-O high-k gate dielectric thin films grown on Si

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    2002-2003 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Epitaxial growth of yttrium-stabilized HfO₂ high-k gate dielectric thin films on Si

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    2003-2004 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Growth and characterization of Hf-aluminate high-k gate dielectric ultrathin films with equivalent oxide thickness less than 10 Å

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    Author name used in this publication: J. Y. DaiAuthor name used in this publication: K. H. WongAuthor name used in this publication: H. L. W. ChanAuthor name used in this publication: C. L. Choy2002-2003 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Comparison of interfacial and electrical characteristics of HfO₂and HfAlO high-k dielectrics on compressively strained Si[sub 1−x]Ge[sub x]

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    Author name used in this publication: P. F. LeeAuthor name used in this publication: J. Y. Dai2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    The potential of integrating blockchain technology into smart sustainable city development

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    The rise of global urbanisation has led to massive pressures on resources such as food, water, infrastructure, and energy demand to support growing populations. It brings adverse impacts on the liveable condition and economic growth of a country if this problem remains unsolved. Smart city is a potential solution to address the challenges of urbanisation by leveraging the technological breakthrough such as internet of things (IoT), Artificial Intelligence (AI), machine learning, big data, and cloud computing to facilitate scarce resources planning and management. With numerous connected devices and vast communication networks, it poses a challenges of security threat which cannot be addressed by the conventional cybersecurity solutions. Blockchain offers a solution in securing the huge numbers of connected devices in smart city network. The application of blockchain technology is leading in the banking and financial industry. However, the uses and implementations in smart city have emerged in recent years. The combination of blockchain technology and smart city has offered a great potential for sustainable development. Thus, it is imperative to discuss the potential of these two elements in making the city safer and sustainable. This paper explores how the blockchain technology application can help in managing smart city and achieve sustainability. The findings revealed that there are five key areas of blockchain application in smart city which are smart governance, smart mobility, smart asset, smart utility and smart logistic. A framework for smart sustainable city with blockchain technology is presented as an outcome of this study. It gives a clear overview for the policy makers and regulators of how blockchain supports within smart city framework. It facilitates the transition towards smart and sustainable cities through the use of blockchain

    Health-related quality of life after stroke

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    Mean-field cooperativity in chemical kinetics

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    We consider cooperative reactions and we study the effects of the interaction strength among the system components on the reaction rate, hence realizing a connection between microscopic and macroscopic observables. Our approach is based on statistical mechanics models and it is developed analytically via mean-field techniques. First of all, we show that, when the coupling strength is set positive, the model is able to consistently recover all the various cooperative measures previously introduced, hence obtaining a single unifying framework. Furthermore, we introduce a criterion to discriminate between weak and strong cooperativity, based on a measure of "susceptibility". We also properly extend the model in order to account for multiple attachments phenomena: this is realized by incorporating within the model pp-body interactions, whose non-trivial cooperative capability is investigated too.Comment: 25 pages, 4 figure

    Digital PCR methods improve detection sensitivity and measurement precision of low abundance mtDNA deletions

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    Mitochondrial DNA (mtDNA) mutations are a common cause of primary mitochondrial disorders, and have also been implicated in a broad collection of conditions, including aging, neurodegeneration, and cancer. Prevalent among these pathogenic variants are mtDNA deletions, which show a strong bias for the loss of sequence in the major arc between, but not including, the heavy and light strand origins of replication. Because individual mtDNA deletions can accumulate focally, occur with multiple mixed breakpoints, and in the presence of normal mtDNA sequences, methods that detect broad-spectrum mutations with enhanced sensitivity and limited costs have both research and clinical applications. In this study, we evaluated semi-quantitative and digital PCR-based methods of mtDNA deletion detection using double-stranded reference templates or biological samples. Our aim was to describe key experimental assay parameters that will enable the analysis of low levels or small differences in mtDNA deletion load during disease progression, with limited false-positive detection. We determined that the digital PCR method significantly improved mtDNA deletion detection sensitivity through absolute quantitation, improved precision and reduced assay standard error
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