One-step coating of fluoro-containing silica nanoparticles for universal generation of surface superhydrophobicity

Stable superhydrophobic surfaces with water contact angles over 170 degrees and sliding angles below 7 degrees were produced by simply coating a particulate silica sol solution of co-hydrolysed TEOS/fluorinated alkyl silane with NH₃^.H₂O on various substrates, including textile fabrics (e.g. polyester, wool and cotton), electrospun nanofibre mats, filter papers, glass slides, and silicon wafers.

Kant, or the crack in the universal : Slavoj Zizek's politicising the transcendental turn

This paper examines Slavoj Zizek’s reading of Immanuel Kant. Its undergirding argument is that Zizek’s work as a whole- up to and including his politically radical statements, which have become more and more prominent since 1997- is conceivable as a project in the rereading of the Kantian ‘Copernican Revolution’ via Lacanian psychoanalysis. Critics now agree that Zizek’s orienting aim is to write a philosophy of politics, as more recent texts, like The Ticklish Subject make clear. (Kay, 2003; Sharpe, 2004; Dean 2006) If Zizek’s philosophy is ultimately a philosophy of politics, however, Zizek’s political philosophy is grounded in a wider post or ‘neo’-Kantian philosophy of subjectivity.
The essay has three major parts. Part I gives Zizek’s reading of Kant on the subject of apperception. Part II recounts Zizek’s pivotal reading of Kant on the sublime, which he ties closely to the problematics of the ‘Transcendental Dialectic’ of the first Critique. Part III then examines Zizek’s conception of subjectivity in terms of the faculties (and especially the faculty of imagination) that Kant argues are involved in the transcendental constitution of objects in the first half of The Critique of Pure Reason.
In the Conclusion, the force of the paper’s subtitle—‘Politicising the Transcendental Turn’—will become manifest. I lay out three principles of Zizek’s ‘neoKantian/Hegelian’ ontology. These also make clear how his philosophy of political agency is grounded in this apparently suprapolitical or solely philosophical reading of Kant.

Development of a universal approach to estuarine planning and management, with special reference to Australia

The study develops a universal management framework for estuaries. Based on the identified problems, policy makers' inputs and characteristics of effective management models, the study proposes a universal planning and management framework, which consists of four elements. On the basis of the elements the study outlines a detailed planning and management framework for estuaries.

Semantic and pedagogical aspects of affixation in Bahasa Indonesia

This thesis analyses eleven affixes sampled from a range of contemporary writings in Bahasa Indonesia. Though assumed to be basic, these affixes cause difficulties for tertiary-level non-native learners, thus suggesting the need for alternative materials and methods of instruction.

Design, fabrication and evaluation of universal polymerase chain reaction devices

Novel and low cost PCR devices were developed to perform rapid polymerase chain reaction based diagnostics for infectious diseases. The main advantages of using these devices are that it can perform multi sample and also multiplexing of DNA samples woth low sample volume compared to the conventional PCR devices.

Differences in networking activities among Australasian entrepreneurs : challenging the universal nature of entrepreneurial networking

By investigating differences in structural diversity in social networks among entrepreneurs in the Australasian area, this paper contributes to the debate on whether there is universality in the process of entrepreneurial networking. Four hypotheses were developed based on previous research. Representative samples of entrepreneurs were identified in the same manner in eight countries, from 2000 to 2004, given a total of63,350 respondents. The sampling methodologies and the questions asked were similar across all eight countries. Logistic regression was used to test for significant regional interaction effects involving business stage and structural diversity. The empirical results confirm previous indications of cultural differences in the networking practice adopted by entrepreneurs. Results are contrary to the existence of any mono-dimensional form of networking practice but do support the existence of both variform universality (culture moderates the importance of networking) and functional universality (cultural similarities in networking practice exist).

Semantic and layered protein function prediction from PPI networks

Background The past few years have seen a rapid development in novel high-throughput technologies that have created large-scale data on protein-protein interactions (PPI) across human and most model species. This data is commonly represented as networks, with nodes representing proteins and edges representing the PPIs. A fundamental challenge to bioinformatics is how to interpret this wealth of data to elucidate the interaction of patterns and the biological characteristics of the proteins. One significant purpose of this interpretation is to predict unknown protein functions. Although many approaches have been proposed in recent years, the challenge still remains how to reasonably and precisely measure the functional similarities between proteins to improve the prediction effectiveness.

Results We used a Semantic and Layered Protein Function Prediction (SLPFP) framework to more effectively predict unknown protein functions at different functional levels. The framework relies on a new protein similarity measurement and a clustering-based protein function prediction algorithm. The new protein similarity measurement incorporates the topological structure of the PPI network, as well as the protein's semantic information in terms of known protein functions at different functional layers. Experiments on real PPI datasets were conducted to evaluate the effectiveness of the proposed framework in predicting unknown protein functions.

Conclusion The proposed framework has a higher prediction accuracy compared with other similar approaches. The prediction results are stable even for a large number of proteins. Furthermore, the framework is able to predict unknown functions at different functional layers within the Munich Information Center for Protein Sequence (MIPS) hierarchical functional scheme. The experimental results demonstrated that the new protein similarity measurement reflects more reasonably and precisely relationships between proteins.

Semantic trajectory based event detection and event pattern mining

Video event detection is an effective way to automatically understand the semantic content of the video. However, due to the mismatch between low-level visual features and high-level semantics, the research of video event detection encounters a number of challenges, such as how to extract the suitable information from video, how to represent the event, how to build up reasoning mechanism to infer the event according to video information. In this paper, we propose a novel event detection method. The method detects the video event based on the semantic trajectory, which is a high-level semantic description of the moving object’s trajectory in the video. The proposed method consists of three phases to transform low-level visual features to middle-level raw trajectory information and then to high-level semantic trajectory information. Event reasoning is then carried out with the assistance of semantic trajectory information and background knowledge. Additionally, to release the users’ burden in manual event definition, a method is further proposed to automatically discover the event-related semantic trajectory pattern from the sample semantic trajectories. Furthermore, in order to effectively use the discovered semantic trajectory patterns, the associative classification-based event detection framework is adopted to discover the possibly occurred event. Empirical studies show our methods can effectively and efficiently detect video events.

Semantic data modelling and visualization using Noetica

Noetica is a tool for structuring knowledge about concepts and the reIationships between them. It differs from typical information systems in that the knowledge it represents is abstract, highly connected, and includes meta-knowledge (knowledge about knowledge). Noetica represents knowledge using a strongly typed graph data model. By providing a rich type system it is possible to represent conceptual information using formalized structures. A class hierarchy provides a basic classification for all objects. This allows for a consistency of representation that is not often found in `free' semantic networks, and gives the ability to easily extend a knowledge model while retaining its semantics. Visualization and query tools are provided for this data model. Visualization can be used to explore complete sets of link-classes, show paths while navigating through the database, or visualize the results of queries. Noetica supports goal-directed queries (a series of user-supplied goals that the system attempts to satisfy in sequence) and pathfinding queries (where the system finds relationships between objects in the database by following links).