West Australian mining practice; a description of the mining methods followed by the principal gold mines of Western Australia,

Mode of access: Internet.

Principles of the law of contract, with a chapter on the law of agency,

Mode of access: Internet.

A voyage to Africa: including a narrative of an embassy to one of the interior kingdoms, in the year 1820; with remarks on the course and termination of the Niger, and other principal rivers in that country.

Mode of access: Internet.

Guide of the U.S. Department of Energy, Board of Contract Appeals and Contract Adjustment Board

Mode of access: Internet.

Termination of real-time programs: Definitely, definitely not, or maybe

Real-time control programs are often used in contexts where (conceptually) they run forever. Repetitions within such programs (or their specifications) may either (i) be guaranteed to terminate, (ii) be guaranteed to never terminate (loop forever), or (iii) may possibly terminate. In dealing with real-time programs and their specifications, we need to be able to represent these possibilities, and define suitable refinement orderings. A refinement ordering based on Dijkstra's weakest precondition only copes with the first alternative. Weakest liberal preconditions allow one to constrain behaviour provided the program terminates, which copes with the third alternative to some extent. However, neither of these handles the case when a program does not terminate. To handle this case a refinement ordering based on relational semantics can be used. In this paper we explore these issues and the definition of loops for real-time programs as well as corresponding refinement laws.

Damages for breach of contract

This practical book deals solely with those damages arising as a breach of contract, where the aim of the damages is to place the plaintiff in the same position as if the contract had been performed. The book is split into three main parts: general principles such as limitations, causation, remoteness, mitigation and contributory negligence; specific breaches, such as sale of goods, supply of services, travel contracts and sale of land; and general issues and procedures. The only authoritative practitioner work focusing on this area, it provides a high-level, comprehensive and practical text.

Contractual termination of leases: lessons from the Commonwealth - Part 1

In the first of a three-part article, the writers consider the extent to which the contractual termination of a lease by frustration and acceptance of a repudiatory breach has been accepted in Commonwealth case law, notably Canada, the United States and Australia.

Contractual termination of leases: lessons from the Commonwealth - Part 2

In the second part of this article, the writers examine how far the English courts have acknowledged the application of the doctrine of frustration and acceptance of repudiation in the leasehold context.

Contractual termination of leases: lessons from the Commonwealth - Part 3

In the final part of this article, the writers consider the interrelation between contractual termination and the various statutory provisions governing forfeiture and termination of a business tenancy under Pt II of the Landlord and Tenant Act 1954. The article concludes by suggesting that termination by acceptance of a repudiatory breach is not only a welcome, but necessary incursion into leasehold law in order to provide tenants with the ability to end the lease in cases of serious landlord default.

Exploring the integration of data mining and data visualization

Due to the rapid advances in computing and sensing technologies, enormous amounts of data are being generated everyday in various applications. The integration of data mining and data visualization has been widely used to analyze these massive and complex data sets to discover hidden patterns. For both data mining and visualization to be effective, it is important to include the visualization techniques in the mining process and to generate the discovered patterns for a more comprehensive visual view. In this dissertation, four related problems: dimensionality reduction for visualizing high dimensional datasets, visualization-based clustering evaluation, interactive document mining, and multiple clusterings exploration are studied to explore the integration of data mining and data visualization. In particular, we 1) propose an efficient feature selection method (reliefF + mRMR) for preprocessing high dimensional datasets; 2) present DClusterE to integrate cluster validation with user interaction and provide rich visualization tools for users to examine document clustering results from multiple perspectives; 3) design two interactive document summarization systems to involve users efforts and generate customized summaries from 2D sentence layouts; and 4) propose a new framework which organizes the different input clusterings into a hierarchical tree structure and allows for interactive exploration of multiple clustering solutions.

Intelligent retrieval system for conditions of contract documents in construction

The outcome of this research is an Intelligent Retrieval System for Conditions of Contract Documents. The objective of the research is to improve the method of retrieving data from a computer version of a construction Conditions of Contract document. SmartDoc, a prototype computer system has been developed for this purpose. The system provides recommendations to aid the user in the process of retrieving clauses from the construction Conditions of Contract document. The prototype system integrates two computer technologies: hypermedia and expert systems. Hypermedia is utilized to provide a dynamic way for retrieving data from the document. Expert systems technology is utilized to build a set of rules that activate the recommendations to aid the user during the process of retrieval of clauses. The rules are based on experts knowledge. The prototype system helps the user retrieve related clauses that are not explicitly cross-referenced but, according to expert experience, are relevant to the topic that the user is interested in.

Effect of Termination of Long-term Free Air CO2 Enrichment on Physiology and Carbon Allocation in a Loblolly Pine Dominated Forest

This dissertation examined the response to termination of CO2 enrichment of a forest ecosystem exposed to long-term elevated atmospheric CO2 condition, and aimed at investigating responses and their underlying mechanisms of two important factors of carbon cycle in the ecosystem, stomatal conductance and soil respiration. Because the contribution of understory vegetation to the entire ecosystem grew with time, we first investigated the effect of elevated CO2 on understory vegetation. Potential growth enhancing effect of elevated CO2 were not observed, and light seemed to be a limiting factor. Secondly, we examined the importance of aerodynamic conductance to determine canopy conductance, and found that its effect can be negligible. Responses of stomatal conductance and soil respiration were assessed using Bayesian state space model. In two years after the termination of CO2 enrichment, stomatal conductance in formerly elevated CO2 returned to ambient level, while soil respiration became smaller than ambient level and did not recovered to ambient in two years.

Data Mining for Network Intrusion Detection : A comparison of data mining algorithms and an analysis of relevant features for detecting cyber-attacks

Data mining can be defined as the extraction of implicit, previously un-known, and potentially useful information from data. Numerous re-searchers have been developing security technology and exploring new methods to detect cyber-attacks with the DARPA 1998 dataset for Intrusion Detection and the modified versions of this dataset KDDCup99 and NSL-KDD, but until now no one have examined the performance of the Top 10 data mining algorithms selected by experts in data mining. The compared classification learning algorithms in this thesis are: C4.5, CART, k-NN and Naïve Bayes. The performance of these algorithms are compared with accuracy, error rate and average cost on modified versions of NSL-KDD train and test dataset where the instances are classified into normal and four cyber-attack categories: DoS, Probing, R2L and U2R. Additionally the most important features to detect cyber-attacks in all categories and in each category are evaluated with Weka’s Attribute Evaluator and ranked according to Information Gain. The results show that the classification algorithm with best performance on the dataset is the k-NN algorithm. The most important features to detect cyber-attacks are basic features such as the number of seconds of a network connection, the protocol used for the connection, the network service used, normal or error status of the connection and the number of data bytes sent. The most important features to detect DoS, Probing and R2L attacks are basic features and the least important features are content features. Unlike U2R attacks, where the content features are the most important features to detect attacks.

Are Career Termination Concerns Only for Athletes? A Case Study of the Career Termination of an Elite Female Coach

This paper presents a case study of an elite female coach and her career termination from a 20+ year career following a critical life incident. A novel autobiographical approach was adopted whereby the participant undertook expressive writing to describe her experiences prior to, during, and following coaching an athlete at the 2012 Summer Olympic Games. Thematic analysis indicated seven phases related to the participant’s experiences of the critical incident: Build up to the event, the event, the aftermath, recovery and reflection on the event, sampling of new avenues, enlightenment, and career re-birth. The findings reinforce the high demands placed upon elite coaches, the subsequent threats to physical and mental well-being, and the importance of having robust psychological skills and suitable social support to cope with these demands. Implications for preparing and supporting coaches for successful career transition are discussed.