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Synthesis and characterisation of epigallocatechin gallate (EGCg) conjugated...

The phytochemical EGCg, from green tea, is known to act as both a reducing agent and a stabiliser to form stable gold nanoparticles within an appropriate range of concentrations and ratios. Over 40...

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Essays on business relationships: chinese evidence

This thesis analyzes various types of business relationships under different scenarios in three essays.In Chapter 2, we focus on a stable business relationship between mutual funds and brokerage firms...

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Building brand authenticity

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The 'good life' on the small screen: ethical consumption, food television and...

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Shopping for identity: Postmodern flâneuses in sex and the city and in the cut

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Women writers on the Australian screen

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Core requirements of a best practice model for police encounters involving...

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The community-of-inquiry framework in online interpreter training

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Towards a scholarship of curriculum change: From isolated innovation to...

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The Screenwriting of Jane Campion: Female-centered Stories, characters and...

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Learning latent activities from social signals with hierarchical Dirichlet...

Understanding human activities is an important research topic, most noticeably in assisted‑living and healthcare monitoring environments. Beyond simple forms of activity (e.g., an RFID event of...

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(In press) What's up DOCC? Creating third space courses in teacher education

There are increasing calls to improve the quality of Teacher Education by reconceptualising the connection between university-based coursework and the teaching practicum. In response, the School of...

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A bayesian nonparametric framework for activity recognition using...

Monitoring daily physical activity of human plays an important role in preventing diseases as well as improving health. In this paper, we demonstrate a framework for monitoring the physical activity...

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On the cost of extracting proximity features for term-dependency models

Sophisticated ranking mechanisms make use of term dependency features in order to compute similarity scores for documents. These features often include exact phrase occurrences, and term proximity...

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Unsupervised inference of significant locations from WiFi data for...

Motion and location activities are essential to understanding human dynamics. This paper presents a method for discovering significant locations and individuals' daily routines from WiFi data, a data...

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Bayesian nonparametric extraction of hidden contexts from pervasive honest...

Hidden patterns and contexts play an important part in intelligent pervasive systems. Most of the existing works have focused on simple forms of contexts derived directly from raw signals. High-level...

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Benchmarking a set of exam questions for introductory programming

This paper reports on the combining of two related but hitherto distinct themes in programming education research. The first is the recognition that students in programming courses tend to perform far...

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(In Press) Cross-layer multi-cloud real-time application QoS monitoring and...

Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks)...

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Fixed-lag particle filter for continuous context discovery using Indian...

Exploiting context from stream data in pervasive environments remains a challenge. We aim to extract proximal context from Bluetooth stream data, using an incremental, Bayesian nonparametric framework...

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Extraction of latent patterns and contexts from social honest signals using...

A fundamental task in pervasive computing is reliable acquisition of contexts from sensor data. This is crucial to the operation of smart pervasive systems and services so that they might behave...

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