Disparity estimation using TI multi-wavelet transform

A multi-resolution image matching technique based on translation invariant discrete multi-wavelet transform followed by a coarse to fine matching strategy is presented. The technique addresses the estimation of optimal corresponding points and the corresponding disparity maps in the presence of occlusion, ambiguity and illuminative variations in the two perspective views taken by two different cameras or at different lighting conditions. The problem of occlusion and ambiguity is addressed explicitly by a geometric optimization approach along with the uniqueness constraint whereas the illuminative variation is dealt with by using windowed normalized correlation on the discrete multi-wavelet coefficients.

Measuring marketing performance: comparing the literature with the perspective of business executives

This paper investigated performance measurement from both an academic and an Australian practitioner perspective. The current consensus in the literature is that performance is a multi-faceted construct, incorporating both financial and non-financial aspects, and that a sole focus on financial performance measures is less appropriate to deal with the issues that confront organisations today. However, the findings ofthis research indicate that researchers and practitioners alike are driven by financial performance measures. The results indicate that sales/growth and Return-on-Investment (ROI) are the most frequently utilised financial performance measures, whilst satisfaction is the most frequently utilised non-financial measure.

Modelling multi-criteria decision analysis for benchmarking management practices in project management

The link between management practices and worker’s motivations impacting construction productivity is being considered as significant among the research community. This research aimed to identify and analyse the underlying attributes impacting construction productivity from the site management perspective. This research presents a framework designed to analyse and quantify the relative relevance of different drivers in the determination of productivity levels and the degree of effectiveness of potential opportunities for improving performance of overall projects. Owing to the complexity of construction projects and underlying conflicting drivers influencing higher worker’s productivity, the Analytical Hierarchy Process (AHP) is employed to deal with interdependent relationships within a multi-criteria decision-making model. In the analytical approach, the large unstructured decision parameters are identified first and then are broken down into the manageable and measurable components using a top down hierarchical structure. This paper demonstrates an example to illustrate how to empirically analyse and prioritise a set of influencing parameters as selection criteria in devising appropriate management practices to ensure higher productivity vis-à-vis optimum performance of projects.

Multi-level rural community engagement in health

Community participation in health is consistent with notions of democracy. A systems perspective of engagement can see consumers engaged to legitimise government agendas. Often community participation is via consultation instead of partnership or delegation. A community development approach to engagement can empower communities to take responsibility for their own health care. Understanding rural place facilitates alignment between health programs and community, assists in incorporating community resources into health care and provides information about health needs. Rural communities, health services and other community organisations need skills in working together to develop effective partnerships that transfer some power from health systems. Rural engagement with national/state agendas is a challenge. Community engagement takes time and resources, but can be expected to lead to better health outcomes for rural residents.

Multi-type maltreatment : relationships between familial characteristics, maltreatment and adjustment of children and adults

This thesis examines the nature, extent and impact of multiple forms of maltreatment (multi-type maltreatment) from within a developmental victimological framework. The interrelationships between sexual abuse, physical abuse, psychological maltreatment, neglect, and witnessing family violence are assessed. The role of family variables in predicting maltreatment and the relative contribution of child maltreatment and family variables to adjustment are evaluated. Risk factors for multi-type maltreatment, and the relationship between multi-type maltreatment and adjustment are explored. The major theories of child development are reviewed. As well as exploring the relevance of developmental theories to understanding the impact of child maltreatment, factors influencing the emergence of child psychopathology are reviewed from a developmental psychopathology perspective. Ecological and developmental perspectives on how child maltreatment translates into the behavioural and emotional adjustment problems of children are integrated in the Child Maltreatment: Risk and Protection Model. After exploring some of the relevant conceptual issues, the literature on the prevalence and impact of each maltreatment type is reviewed, and the literature on multi-type maltreatment critiqued. Methodological and ethical concerns with the conduct of research in the field of child maltreatment using direct assessment of children led to the need for an instrument to assess parent perceptions of each of the types of abuse and neglect, as well as adult retrospective reports. Data are presented from two cross-sectional questionnaire-based studies using the Parent and Adult versions of the Family and Life Experiences Questionnaire which was designed to assess perceptions of children's experiences of sexual abuse, physical abuse, psychological maltreatment, neglect and witnessing family violence. Problems with the isolated focus of research on single forms of child maltreatment are addressed by the inclusion of each of these forms of child maltreatment within a single research design. Respondents for both studies were volunteers recruited from counselling agencies, medical, community health, child care and fitness centres and a first year psychology course. Parents (N=50) described their perceptions of primary school children's family characteristics, experiences of maltreatment and adjustment. Children's behavioural adjustment (internalising and externalising), sexual behaviours, emotions, self-esteem, gender identity, family adaptability and cohesion, parental traditionality, parental sexual punitiveness, interparental relationship satisfaction, and demographic characteristics are assessed in the study of Parents' perceptions. A large degree of overlap between the different types of abuse and neglect was found, with a high proportion of parents describing children's experiences of multiple forms of child maltreatment. Using both maltreatment and family characteristics to predict internalising behaviour problems, neglect and family cohesion were the only unique predictors. Family adaptability and cohesion were the only unique predictors of externalising behaviour problems. Physical and sexual abuse were not predicted from family characteristics; neglect was predicted, but no variables provided unique prediction. Unique predictors of psychological maltreatment were family cohesion, parental sexual punitiveness and divorce. Divorce was the only variable with significant unique prediction of the child witnessing family violence. Family background and family functioning were found to predict some forms of maltreatment, but to also be important factors mediating the adjustment of children, independent of maltreatment. The results are interpreted within an ecological framework, integrating risk factors for maltreatment with experiences of abuse and neglect and subsequent adjustment in childhood. Retrospective reports of adults' (N=175) own childhood family characteristics, experiences of maltreatment, and reports of their current adjustment are also studied. Included with the adult version of the FLEQ were the Trauma Symptom Checklist-40, Rosenberg's Self-esteem Scale, and the Family and Adaptability and Cohesion Evaluation Scale-II. Similar results were found in the in the Adult Study. As hypothesised, adult retrospective reports of the five different types of child maltreatment were found to be highly intercorrelated. Family characteristics predicted maltreatment and adjustment scores and discriminated between single and multi-type maltreatment. Maltreatment scores also predicted adult adjustment. As the number of maltreatment types increased, there was an increase in the number of adjustment problems reported. Alternate hypotheses regarding the possible operation of mediating and moderating processes in the relationships between family characteristics, maltreatment and the adjustment of adults were assessed. Finally, the results of these investigations are discussed and interpreted in the light of extant findings previously reviewed. Data from the two major empirical studies are used to demonstrate the overlap between different child maltreatment categories, and the extent and impact of multi-type maltreatment. The results show that children are vulnerable to more than one type of maltreatment. Individuals who experience a number of different forms of maltreatment had greater adjustment problems than those experiencing only one or two different types of abuse or neglect. Dysfunctional families place children at risk of child maltreatment. Negative family characteristics lead to adjustment problems in children and adults. The type of maltreatment having the most damaging effect on children was neglect, and in the long-term, sexual abuse. A multi-dimensional approach to prevention and intervention needs to be adopted, based on the co-morbidity of maltreatment types, and the likelihood of children experiencing further abuse or neglect of a different type. Dysfunctional family dynamics which place children at risk of multi-type maltreatment, and mediate the effects of maltreatment on adjustment, need to be specifically targeted with support and family intervention strategies. Risk-assessment measures used by Child Protection workers must include adequate knowledge of the inter-relationships between maltreatment types, and the particularly negative impact on adjustment of experiencing many forms of abuse or neglect. Suggestions for future clinical and research work in the area of child maltreatment are developed. The importance of assessing all forms of maltreatment when examining the relationships of maltreatment to adjustment is emphasised. It is recommended that prevention and intervention strategies acknowledge the interrelationships between maltreatment types.

A multiliteracies perspective on the new literacies

The new communications environment of the 21st century offers unprecedented opportunities for multimodal meaning making, a transformed dynamics of social agency and divergence of discourses. Multi-literacies theory presents a set of educationally useable conceptual schemas and suggestions for an expanded repertoire of literacy practices as a response to these opportunities (Cope & Kalantzis, 2000a). The following discusses the theory and case study of a collaborative application if a set of schemas to address contemporary issues in multiliteracies pedagogy (Cloonan, 2008a).

Motivations for seeking treatment for ED: the woman's perspective

There is increasing evidence that partners have a major role in treatment-seeking behavior for men with ED. This study investigated the motivations of 100 females for seeking medical treatment for their partner's ED. Semi-structured interviews focused on reasons for seeking treatment from the female's perspective. The themes that emerged from the data centered on the importance of sex in the relationship, with closeness and intimacy frequently being seen as more important than sex. The second major theme related to hopes that females had in relation to the medication, particularly in relation to increasing their partner's confidence and reducing his sexual frustration. Enhancement of the relationship as well as improving the female's own feelings of self-doubt and sexual frustration were also mentioned. The results of this study show the multi-faceted nature of the motivations that females express in terms of seeking help for their partner's ED.

Implementation of the nurse practitioner role within a Victorian healthcare network : an organisational perspective

Objective
This paper presents a discussion of the development of a framework to implement and sustain the nurse practitioner (NP) role within one health service designed to strengthen the capacity of the health system and which could be readily transferable to other health services.
Setting
Eastern Health (EH) is a multi‑campus tertiary health care organisation servicing a population of approximately 800,000 people in the east and outer eastern suburbs of Melbourne, Australia. EH is committed to advancing the nursing profession and exploring innovative, research based models of practice that are responsive to the needs of the community it serves.
Primary argument
The Framework documents the processes of providing a new career pathway for advanced practice nurses that incorporates education and training, and utilises current evidenced‑based practice guidelines to define and promote the scope of practice.
Conclusion
Strong organisational support to facilitate interdisciplinary and multidisciplinary learning opportunities assists integration of the NP role into the healthcare team. Role clarity will assist interprofessional teams to understand and value the role NPs provide.

From blogging Central Asia to citizen media : a practitioners’ perspective on the evolution of the neweurasia blog project

This essay examines the development of one regional blogosphere, the Central Asian ‘Stanosphere’, through a focus on the neweurasia blog project. The neweurasia project began in 2005 as an Englishlanguage volunteer-run blog project about the former Soviet republics of Central Asia and the Caucasus, rapidly becoming one of the most visited blogs about the region. Following this auspicious start, over the next five years neweurasia developed into a multi-language locally driven project with more than 80,000 unique page views on average per month. Despite its indisputable successes, the project was often a steep learning curve for all involved. In this essay, we examine neweurasia’s evolution from ‘blogging Central Asia’ towards a citizen media project, and reflect on some of the issues and challenges encountered. On the basis of our discussion, we reflect upon how neweurasia, and citizen media in general, can maximise its impact on the nascent Stanosphere, in the process helping to give Central Asia a voice in the global blogosphere.

A multilevel social network perspective on IT adoption

Adoption of technologies has long been a key area of research in the information systems (IS) discipline, and researchers have thus been interested in the attributes, beliefs, intentions, and behaviors of individuals and organisations that could explain information and communication technology (ICT) adoption. The focal unit of adoption has mainly been individuals and organisations, however, research at group or social network level as well as the inter-organizational level have recently gained increased interest from IS researchers. This recent focus supports the view of the world as being the sum of all relations. Various social network theories exist that seek to emphasize different proficiencies of social networks and explain theoretical mechanisms for behavior in social networks. The core idea of these theories is that social networks are valuable, and the relations among actors affect the behavior of individuals, groups, organizations, industries, and societies. IS researchers have also found that social network theory can help explain technology adoption. Some researchers, in addition, acknowledge that most adoption situations involve phenomena occuring at multiple levels, yet most technology adoption research applies a single level of analysis. Multilevel research can address the levels of theory, measurement, and analysis required to fully examining research questions. This paper therfore adapts the Coleman diagram into the Multi-level Framework of Technology. Adoption in order to explain how social network theory, at the individual and social network level, can help explain adoption of ICT. As Coleman (1990) attempts to create a link between the micro and macro level in a holistic manner, his approach is applicable in explaining ICT adoption

Evolutionary optimization: a big data perspective

Stochastic search techniques such as evolutionary algorithms (EA) are known to be better explorer of search space as compared to conventional techniques including deterministic methods. However, in the era of big data like most other search methods and learning algorithms, suitability of evolutionary algorithms is naturally questioned. Big data pose new computational challenges including very high dimensionality and sparseness of data. Evolutionary algorithms' superior exploration skills should make them promising candidates for handling optimization problems involving big data. High dimensional problems introduce added complexity to the search space. However, EAs need to be enhanced to ensure that majority of the potential winner solutions gets the chance to survive and mature. In this paper we present an evolutionary algorithm with enhanced ability to deal with the problems of high dimensionality and sparseness of data. In addition to an informed exploration of the solution space, this technique balances exploration and exploitation using a hierarchical multi-population approach. The proposed model uses informed genetic operators to introduce diversity by expanding the scope of search process at the expense of redundant less promising members of the population. Next phase of the algorithm attempts to deal with the problem of high dimensionality by ensuring broader and more exhaustive search and preventing premature death of potential solutions. To achieve this, in addition to the above exploration controlling mechanism, a multi-tier hierarchical architecture is employed, where, in separate layers, the less fit isolated individuals evolve in dynamic sub-populations that coexist alongside the original or main population. Evaluation of the proposed technique on well known benchmark problems ascertains its superior performance. The algorithm has also been successfully applied to a real world problem of financial portfolio management. Although the proposed method cannot be considered big data-ready, it is certainly a move in the right direction.

Explaining the environmentally sustainable consumer behavior: a social capital perspective

Purpose - The purpose of this study is to examine the effects of social capital within a community on the adoption of consumer eco-behaviour or environmentally sustainable behaviour of consumers. The authors draw on the behavioural perspective model (BPM) of consumer behaviour and social capital theory in arguing that social capital shapes a consumer's knowledge of environmental issues and pro-environmental attitudes, which in turn influence a consumer's perceived capability to engage in eco-behaviour. Design/methodology/approach - This study uses partial least squares approach to structural equation modelling of survey data involving 1,044 consumers in the Philippines. It involves testing of a measurement model to examine the validity and reliability of the constructs used in the study. This is followed by testing of the structural models to test the hypothesised relationships of the constructs. Findings - The results suggest the substantive influence of social capital on environmental knowledge, pro-environmental attitudes and eco-capability. Both knowledge and attitudes have positive effects on eco-capability, which in turn positively shapes eco-behaviour. Research limitations/implications - Future studies can examine how social capital as a multi-dimensional construct impacts context-specific consumer behaviour. Practical implications - Social and environmental marketing may focus on social network activation to encourage eco-behaviours of consumers. Social implications - Findings highlight the role of social capital within one's community as a resource channel to encourage environmentally responsible consumer behaviour. Originality/value - The study extends the BPM by offering a social capital view as a more nuanced explanation of consumer eco-behaviour.

Perspectives of clinical handover processes: a multi-site survey across different health professionals

AIMS AND OBJECTIVES: To examine the perspectives of health professionals of different disciplines about clinical handover. BACKGROUND: Ineffective handovers can cause major problems relating to the lack of delivery of appropriate care. DESIGN: A prospective, cross-sectional design was conducted using a survey about clinical handover practices. METHODS: Health professionals employed in public metropolitan hospitals, public rural hospitals and community health centres were involved. The sample comprised doctors, nurses and allied health professionals, including physiotherapists, social workers, pharmacists, dieticians and midwives employed in Western Australia, New South Wales, South Australia and the Australian Capital Territory. The survey sought information about health professionals' experiences about clinical handover; their perceived effectiveness of clinical handover; involvement of patients and family members; health professionals' ability to confirm understanding and to clarify clinical information; role modelling behaviour of health professionals; training needs; adverse events encountered and possibilities for improvements. RESULTS: In all, 707 health professionals participated (response rate = 14%). Represented professions were nursing (60%), medicine (22%) and allied health (18%). Many health professionals reported being aware of adverse events where they noticed poor handover was a significant cause. Differences existed between health professions in terms of how effectively they gave handover, perceived effectiveness of bedside handover vs. nonbedside handover, patient and family involvement in handover, respondents' confirmation of understanding handover from their perspective, their observation of senior health professionals giving feedback to junior health professionals, awareness of adverse events and severity of adverse events relating to poor handovers. CONCLUSIONS: Complex barriers impeded the conduct of effective handovers, including insufficient opportunities for training, lack of role modelling, and lack of confidence and understanding about handover processes. RELEVANCE TO CLINICAL PRACTICE: Greater focus should be placed on creating opportunities for senior health professionals to act as role models. Sophisticated approaches should be implemented in training and education.

Analysis of postprandial lipemia as a Cardiovascular Disease risk factor using genetic and clinical information: an Artificial Neural Network perspective

Clinical studies indicate that exaggerated postprandial lipemia is linked to the progression of atherosclerosis, leading cause of Cardiovascular Diseases (CVD). CVD is a multi-factorial disease with complex etiology and according to the literature postprandial Triglycerides (TG) can be used as an independent CVD risk factor. Aim of the current study is to construct an Artificial Neural Network (ANN) based system for the identification of the most important gene-gene and/or gene-environmental interactions that contribute to a fast or slow postprandial metabolism of TG in blood and consequently to investigate the causality of postprandial TG response. The design and development of the system is based on a dataset of 213 subjects who underwent a two meals fatty prandial protocol. For each of the subjects a total of 30 input variables corresponding to genetic variations, sex, age and fasting levels of clinical measurements were known. Those variables provide input to the system, which is based on the combined use of Parameter Decreasing Method (PDM) and an ANN. The system was able to identify the ten (10) most informative variables and achieve a mean accuracy equal to 85.21%.