Management : Foundations and Applications (2nd Asia-Pacific Edition)

The second edition of this text has been thoroughly updated, continuing its strong emphasis on the importance of the Asian region to contemporary Australian and New Zealand organisations. Many Asian case examples are featured to illustrate key management concepts, and these provide a useful basis for comparison with management practices in Australia and New Zealand. Numerous practical examples throughout the text highlight contemporary management issues, such as: •workplace diversity •sustainability •ethics/corporate social responsibility •the impact of technology •innovation in the workplace •globalisation •employee engagement •flexible working arrangements •work-life balance •generational issues in the workplace •skills shortages in various industries •the importance of effective employee recruitment and training •organisational culture •workforce flexibility and casualisation •the ‘24/7’ nature of contemporary communication technology, including social media •outsourcing Management, Foundation and Applications, 2nd Asia-Pacific edition, has also retained the features that made its previous edition so popular with students and lecturers, including the Career Readiness Workbook activities at the end of the book, and the accompanying Interactive Study Guide with its vast array of multimedia resources.

Direct Observation of Photodissociation Products from Phenylperoxyl Radicals Isolated in the Gas Phase

Gas phase peroxyl radicals are central to our chemical understanding of combustion and atmospheric processes and are typically characterized by strong absorption in the UV (lambda(max) approximate to 240 nm). The analogous maximum absorption feature for arylperoxyl radicals is predicted to shift to the visible but has not previously been characterized nor have any photoproducts arising from this transition been identified. Here we describe the controlled synthesis and isolation in vacuo of an array of charge-substituted phenylperoxyl radicals at room temperature, including the 4-(N,N,N-trimethylammonium)methyl phenylperoxyl radical cation (4-Me3N[+]CH2-C6H4OO center dot), using linear ion-trap mass spectrometry. Photodissociation mass spectra obtained at wavelengths ranging from 310 to 500 nm reveal two major photoproduct channels corresponding to homolysis of aryl-OO and arylO-O bonds resulting in loss of O-2 and O, respectively. Combining the photodissociation yields across this spectral window produces a broad (FWHM approximate to 60 nm) but clearly resolved feature centered at lambda(max) = 403 nm (3.08 eV). The influence of the charge-tag identity and its proximity to the radical site are investigated and demonstrate no effect on the identity of the two dominant photoproduct channels. Electronic structure calculations have located the vertical (B) over tilde <- (X) over tilde transition of these substituted phenylperoxyl radicals within the experimental uncertainty and further predict the analogous transition for unsubstituted phenylperoxyl radical (C6H5OO center dot) to be 457 nm (2.71 eV), nearly 45 nm shorter than previous estimates and in good agreement with recent computational values.

Homophobia in nursing : a concept analysis.

It could be argued that the term homophobia may have an array of meanings, which makes it difficult to truly define. Therefore, the purpose of this article is to explore homophobia in nursing using concept analysis as described by Walker and Avant (1995). Definitions of homophobia in general terms will be identified together with a working definition of homophobia in nursing in order for the critical attributes to be explored and identified. The formation of model, borderline, and contrary cases will exemplify the key characteristics of what homophobia in nursing is and is not. The examination of the antecedents, consequences, and empirical referents allows for further refinement of the key attributes, which define homophobia in nursing.

Predicting the likelihood of QA failure using treatment plan accuracy metrics

This study used automated data processing techniques to calculate a set of novel treatment plan accuracy metrics, and investigate their usefulness as predictors of quality assurance (QA) success and failure. 151 beams from 23 prostate and cranial IMRT treatment plans were used in this study. These plans had been evaluated before treatment using measurements with a diode array system. The TADA software suite was adapted to allow automatic batch calculation of several proposed plan accuracy metrics, including mean field area, small-aperture, off-axis and closed-leaf factors. All of these results were compared the gamma pass rates from the QA measurements and correlations were investigated. The mean field area factor provided a threshold field size (5 cm2, equivalent to a 2.2 x 2.2 cm2 square field), below which all beams failed the QA tests. The small aperture score provided a useful predictor of plan failure, when averaged over all beams, despite being weakly correlated with gamma pass rates for individual beams. By contrast, the closed leaf and off-axis factors provided information about the geometric arrangement of the beam segments but were not useful for distinguishing between plans that passed and failed QA. This study has provided some simple tests for plan accuracy, which may help minimise time spent on QA assessments of treatments that are unlikely to pass.

Pulse-coupled neural network performance for real-time identification of vegetation during forced landing

Safety concerns in the operation of autonomous aerial systems require safe-landing protocols be followed during situations where the mission should be aborted due to mechanical or other failure. This article presents a pulse-coupled neural network (PCNN) to assist in the vegetation classification in a vision-based landing site detection system for an unmanned aircraft. We propose a heterogeneous computing architecture and an OpenCL implementation of a PCNN feature generator. Its performance is compared across OpenCL kernels designed for CPU, GPU, and FPGA platforms. This comparison examines the compute times required for network convergence under a variety of images to determine the plausibility for real-time feature detection.