Universal nonuniform random vector generator based on acceptance-rejection

The acceptance/rejection approach is widely used in universal nonuniform random number generators. Its key part is an accurate approximation of a given probability density from above by a hat function. This article uses a piecewise constant hat function, whose values are overestimates of the density on the elements of the partition of the domain. It uses a sawtooth overestimate of Lipschitz continuous densities, and then examines all local maximizers of such an overestimate. The method is applicable to multivariate multimodal distributions. It exhibits relatively short preprocessing time and fast generation of random variates from a very large class of distributions

Host intra-clutch variation, cuckoo egg matching and egg rejection by great reed warblers

Prevailing theory predicts that lower levels of intra-clutch variation in host eggs facilitate the detection of brood parasitism. We assessed egg matching using both human vision and UV-VIS spectrophotometry and then followed the nest fate of great reed warblers naturally parasitised by European cuckoos. Rejection was predicted by the following three variables: matching between cuckoo and host eggs on the main chromatic variable defined by principal components analysis of the egg spectra (which has a strong loading in the UV); the number of host eggs in the nest; and human estimates of intra-clutch variation. The first variable is not correlated to human estimates of matching, which do not predict rejection. In line with another recent study, rejection rates were predicted by higher levels of intra-clutch variation in the host eggs, suggesting that higher rather than lower levels of intra-clutch variation can facilitate the discrimination of cuckoo eggs by hosts. We suggest that the importance of intra-clutch variation is context dependent, with intra-clutch variation being important when there is good matching between the host and the cuckoo eggs. Our results also suggest that both spectrometric and human visual assessments of egg matching and intra-clutch variation are prudent: the former provide the best method of estimating reflectance variation, whereas the latter include some assessment of patterns of maculation.

Design and optimization of LNA topologies with image rejection filters

An important problem in designing RFIC in CMOS technology is the parasitic elements of passive and active devices that complicate design calculations. This article presents three LNA topologies including cascode, folded cascade, and differential cascode and then introduces image rejection filters for low-side and high-side injection. Then, a new method for design and optimization of the circuits based on a Pareto-based multiobjective genetic algorithm is proposed. A set of optimum device values and dimensions that best match design specifications are obtained. The optimization method is layout aware, parasitic aware, and simulation based. Circuit simulations are carried out based on TSMC 0.18 um CMOS technology by using Hspice.

Rejection of the fruit of the poisonous tree doctrine in Australia : a retreat from progressivism

This article canvasses the key Australian exclusionary rules and discretions to exclude evidence under both the common law and its statutory counterparts in the Uniform Evidence Legislation now in effect in the Commonwealth, Victoria, New South Wales, the Australian Capital Territory and Tasmania. In examining these exclusionary rules and discretions, an analysis is made as to whether evidence derived from primary evidence excluded under one or more of these rules should also be excluded under an American style 'fruit of the poisonous tree doctrine' - and why or why not. Finally, the article compares the current Australian approach to this doctrine with the present state of the American doctrine and the recognised exceptions thereto. The article concludes with recommendations for applying the doctrine in both countries, subject to suggested changes in the Jaw that take the realities of political correctness and human frailty into account.

Adoption and rejection : re-appraising the Soviet influence on townscape formation in Indochina

The Soviet socialist form of urban development was implanted in countries that came under the Soviet Union's influence in the Cold War period, including Vietnam,. Laos and post-Pol Pot Cambodia. These environmental impacts were not only out of tune with traditional cultural patterns when first built, but also now add to the hurdles of urban readjstment facing these countries as they struggle to prepare themselves for reintegratioin into the twenty-first century world.

An examination of the joint venture market entry option in China : a case study of an Australian company's international marketing experience in China

There is a widely held view in the literature that foreign companies looking to invest in the China market should opt for joint ventures rather than wholly foreign-owned enterprises for many reasons, ranging from a smaller capital commitment to utilising the market knowledge of local Chinese partners. This paper examines this issue in the light of the experience of the Foster's Brewing Group which established three joint ventures in China only to reject this form of market entry option within a few years. The paper looks at some of the reasons behind Foster's rejection of the joint venture option and proposes some key guidelines that foreign companies should follow if they are to successfully establish joint ventures in China.

Intensive care nurses' perceptions of brain death

Research during the last 2 decades has revealed significant confusion or lack of acceptance and inconsistent application of the brain death concept within the medical and nursing professions. The aim of this naturalistic and descriptive study was to investigate the extent to which a sample of 40 Australian intensive care nurses regarded brain death as a meaningful conception of death. In contrast with the majority of the literature pertaining to health care professionals' perceptions of brain death which has focused upon clinical knowledge, the study elicited the expression of personal beliefs. The study utilised a structured interview method with nurses from seven metropolitan intensive care units (ICUs). Transcript analysis revealed five categories of perception constituting a spectrum ranging from complete acceptance to complete rejection, with almost half (48%, n=19) the sample regarding the brain dead patient as less than completely meaningfully dead.

Rather than supporting the literature's suggestion that non-acceptance of the medico-legally recognised brain death notion is, necessarily, evidence of professional ignorance, the findings suggest the participants holding these perceptions were generally well-informed about brain stem function and brain death diagnosis. The study affirms the importance of supportive workplace environments which facilitate the expression of dissonant perceptions and proposes that educators and managers must acknowledge these dissonances.

Bad sports : the risks associated with not 'fitting in'

This paper is about peer rejection and bullying in schools and the tragic consequences that it can have. The focus of the paper is in the ways schools interact with groups of young males and, more importantly, those who are left out of these groupings. My concern is that schools currently give too little attention to informing and/or shaping the peer group practices of young people. I argue that the current educational theory and practice focus too heavily on individuals and their potential to act independently and overlook the all-important socialization that takes place within and between groups. Drawing on two case-studies of young males who experience peer rejection, I seek to raise concerns about the contemporary socializing practices of young males and the burgeoning need for schools to play a role in bringing about change. Given the continued prominence of sport as a trajectory for defining the dominant masculinity, I believe that it is critical that physical educators engage with the discussions and debates that surround this topic.

Geometry and combinatorics of the cutting angle method

Lower approximation of Lipschitz functions plays an important role in deterministic global optimization. This article examines in detail the lower piecewise linear approximation which arises in the cutting angle method. All its local minima can be explicitly enumerated, and a special data structure was designed to process them very efficiently, improving previous results by several orders of magnitude. Further, some geometrical properties of the lower approximation have been studied, and regions on which this function is linear have been identified explicitly. Connection to a special distance function and Voronoi diagrams was established. An application of these results is a black-box multivariate random number generator, based on acceptance-rejection approach.

A conceptual model for sport services marketing research : integrating quality, value and satisfaction

This paper advances our understanding of the relationship between quality, value and satisfaction in the context of spectator sport services. This is achieved through an analysis and examination of relevant secondary data culminating in a conceptual model Although extensive research has been conducted in the three separate areas of quality, value and satisfaction, to date no work has been reported attempting to develop macro models that capture the concepts and their potential interrelationships. Such macro models could enhance the communication and stimulate further research for sport marketing scholars. This paper proposes a model apposite for further research and in the process leads to the potential confirmation, rejection or, indeed, adaptation of the conceplualization of sport services.

Class library ranlip for multivariate nonuniform random variate generation

This paper describes generation of nonuniform random variates from Lipschitz-continuous densities using acceptance/rejection, and the class library _ranlip which implements this method. It is assumed that the required distribution has Lipschitz-continuous density, which is either given analytically or as a black box. The algorithm builds a piecewise constant upper approximation to the density (the hat function), using a large number of its values and subdivision of the domain into hyperrectangles. The class library _ranlip provides very competitive preprocessing and generation times, and yields small rejection constant, which is a measure of efficiency of the generation step. It exhibits good performance for up to five variables, and provides the user with a black box nonuniform random variate generator for a large class of distributions, in particular, multimodal distributions. It will be valuable for researchers who frequently face the task of sampling from unusual distributions, for which specialized random variate generators are not available.

Parameter optimization of kernel-based one-class classifier on imbalance learning

Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to learn from unbalanced data set is regarded as the recognition based learning and has shown to have the potential of achieving better performance. Similar to twoclass learning, parameter selection is a significant issue, especially when the classifier is sensitive to the parameters. For one-class learning scheme with the kernel function, such as one-class Support Vector Machine and Support Vector Data Description, besides the parameters involved in the kernel, there is another one-class specific parameter: the rejection rate v. In this paper, we proposed a general framework to involve the majority class in solving the parameter selection problem. In this framework, we first use the minority target class for training in the one-class classification stage; then we use both minority and majority class for estimating the generalization performance of the constructed classifier. This generalization performance is set as the optimization criteria. We employed the Grid search and Experiment Design search to attain various parameter settings. Experiments on UCI and Reuters text data show that the parameter optimized one-class classifiers outperform all the standard one-class learning schemes we examined.