Superstars as drivers of organizational identification : empirical findings from professional soccer

This paper examines the effect of superstars on external stakeholders’ organizational identification through the lens of sport. Drawing on social identity theory and the concept of organizational identification, as well as on role model theories and superstar economics, several hypotheses are developed regarding the influence of soccer stars on their fans’ degree of team identification. Using a proprietary data set that combines archival data on professional German soccer players and clubs with survey data on more than 1,400 soccer fans, this study finds evidence for a positive effect of superstar characteristics and role model perception. Moreover, it is found that players who qualify for the definition of a superstar are more important to fans of established teams than to fans of unsuccessful teams. The player's club tenure, however, seems to have no influence on fans’ team identification. It is further argued that the effect of soccer stars on their fans is comparable to that of executives on external stakeholders, and hence, the results are applied to the business domain. The results of this study contribute to existing research by extending the list of personnel-related determinants of organizational identification.

The long and winding road : health services for clients with chronic leg ulcers in the community

The prevalence of leg ulcers of is 0.12%–1.1% and >3,000 lower limb amputations are performed yearly in Australia due to non-healing leg or foot ulcers. Although evidence on leg ulcer management is available, a significant evidence-practice gap exists. To identify current leg ulcer management, a cross-sectional retrospective study was undertaken in Brisbane, Australia. A sample of 104 clients was recruited from a community specialist wound clinic and a tertiary hospital outpatient’s specialist wound clinic. All clients had an ulcer below their knee or on their foot for ≥4 weeks. Data were collected on ulcer care, health service usage and clinical history for the year prior to admission. On admission, participants reported having their ulcer for a median of 25 weeks (range 2-728 weeks); with 51% (53/104) reporting an ulcer duration of ≥24 weeks. Including the wound clinic, participants sought ulcer care from a median of 3 health care providers (range 2-7). General Practitioners provided ulcer care to 82% of participants. Nearly half (42%) had self-cared for their ulcer; 29% (30/104) received treatment by a community nurse. A gap was found between the community-based ulcer care experienced by this population and evidence-based guidelines in regards to assessment, management, advice, and referrals.

Southern New England Social and Community Plan 2009 - Covering Local Government Authorities: Armidale Dumaresq, Guyra, Uralla and Walcha

The Southern New England (SNE) Social and Community Plan is a guide to collaborative, integrated planning involving the three spheres of government, the community and commercial sectors. The Plan is based on social justice principles such as: • Equity - fairness in resource distribution, particularly for those most in need • Access - fairer access for everyone to the economic resources and services essential to meeting their basic needs and improving their quality of life • Rights - recognition and promotion of civil rights • Participation - better opportunities for genuine participation and consultation about decisions affecting people's lives. The Plan is also aimed at improving the accountability of decision-makers, and should help the councils, in conjunction with their communities meet the state government's social justice commitments. Preparation of a social and community plan is required at least every five years, and as with most councils, Armidale Dumaresq Council (ADC) has produced two already, one in 1999 and one in 2004, following the amalgamation of the former Armidale City and Dumaresq Shire Councils in 2000. Those Councils formerly prepared their own Plans in 1999, based on shared consultancy work on a community profile. This is the first joint Southern New England Plan, featuring Armidale Dumaresq, Walcha, Uralla and Guyra Councils. This Social Plan has aimed to identify and address the needs of the local community by: • describing who makes up the community • summarising key priority issues • assessing the effectiveness of any previous plans • recommending strategic ways for council and other government and non-government agencies to met community needs.

Text mining with semantic annotation : using enriched text representation for entity-oriented retrieval, semantic relation identification and text clustering

This project is a step forward in the study of text mining where enhanced text representation with semantic information plays a significant role. It develops effective methods of entity-oriented retrieval, semantic relation identification and text clustering utilizing semantically annotated data. These methods are based on enriched text representation generated by introducing semantic information extracted from Wikipedia into the input text data. The proposed methods are evaluated against several start-of-art benchmarking methods on real-life data-sets. In particular, this thesis improves the performance of entity-oriented retrieval, identifies different lexical forms for an entity relation and handles clustering documents with multiple feature spaces.

Socially inclusive learning in a community setting

People with mental health problems, learning difficulties and poor literacy and numeracy are at risk of social exclusion including homelessness. They are often disconnected from the Vocational Education and Training (VET) system, with few opportunities for education and employment. Academic research has demonstrated a link between literacy and numeracy and social inclusion, however, the pathways to enact this are not well understood. This report presents insights into how a community based adult literacy program in West End, Brisbane, was first established and has since evolved into a successful model of what we are calling ‘socially inclusive learning’. The research informing the report was conducted as a twelve-month study from April 2013 to April 2014 funded through a partnership involving Anglicare Southern Queensland, A Place to Belong and the School of Public Health and Social Work, Queensland University of Technology. The research was conducted by Greg Marston and Jeffrey Johnson- Abdelmalik. The aim of the study was to clarify the principles, practice and methodology of the Reading and Writing group (hereafter RAW) and identify the characteristics of RAW that support the social inclusion of the individual being provided literacy learning. The questions guiding the research included: • What are the key principles and practices of the RAW model? • How does the acquisition of literacy and numeracy skills contribute to the recovery of people with mental health and other issues? • How can the acquisition of literacy and numeracy skills support people’s social inclusion, including achieving employment and further education outcomes? A related aim of the project was to document how this community based literacy and numeracy program operates so that other organisations with an interest in addressing similar needs can learn from the model, particularly organisations that co-locate support and education and organisations that adopt a recovery approach when working with people with mental health challenges and intellectual and psychiatric disabilities. The report highlights the background to RAW, the learning philosophy of RAW, the profile of the participants in the program and the various roles and responsibilities and structure that supports the work of RAW. The report presents perspectives from the teachers, student participants and tutors on how the group is designed and the principles implemented.

Happiness online : supporting the emotions of emergent teachers in a virtual community

Extending Lash and Urry's (1994) notion of new "imagined communities" through information and communication structures, I ask the question: Are emergent teachers happy when they interact in online learning environments? This question is timely in the context of the ubiquity of online media and its pervasiveness in teachers' everyday work and lives. The research is important nationally and internationally, because the current research is contradictory. On the one hand, feelings of isolation and frustration have been cited as common emotions experienced in many online environments (Su, Bonk, Magjuka, Liu, & Lee, 2005). Yet others report that online communities encourage a sense of belonging and support (Mills, 2011). Emotions are inherently social, are central to learning and online interaction (Shen, Wang, & Shen, 2009). The presentations reports the use of e-motion blogs to explore emotional states of emergent primary teachers in an online learning context as they transition into their first field experience in schools. The original research was conducted with a graduate class of 64 secondary science pre-service teachers in Science Education Curriculum Studies in a large Australian university, including males and females from a variety of cultural backgrounds, aged 17-55 years. Online activities involved the participants watching a series of streamed live lectures within a course of 8 weeks duration, providing a varied set of learning experiences, such as viewing live teaching demonstrations. Each week, participants provided feedback on learning by writing and posting an e-motion diary or web log about their emotional response. The blogs answered the question: What emotions you experience during this learning experience? The descriptive data set included 284 online posts, with students contributing multiple entries. The Language of Appraisal framework, following Martin and White (2005), was used to cluster the discrete emotions within six affect groups. The findings demonstrated that the pre-service teachers' emotional responses tended towards happiness and satisfaction within the typology of affect groups - un/happiness, in/security, and dis/satisfaction. Fewer participants reported that online learning mode triggered negative feelings of frustration, and when this occurred, it often pertained expectations of themselves in the forthcoming field experience in schools or as future teachers. The findings primarily contribute new understanding about emotional states in online communities, and recommendations are provided for supporting the happiness and satisfaction of emergent teachers as they interact in online communities. It demonstrates that online environments can play an important role in fulfilling teachers' need for social interaction and inclusion.

Causal factors of hot air ballooning incidents : identification, frequency, and potential impact

Background: Hot air ballooning incidents are relatively rare, however, when they do occur they are likely to result in a fatality or serious injury. Human error is commonly attributed as the cause of hot air ballooning incidents; however, error in itself is not an explanation for safety failures. This research aims to identify, and establish the relative importance of factors contributing towards hot air ballooning incidents. Methods: Twenty-two Australian Ballooning Federation (ABF) incident reports were thematically coded using a bottom up approach to identify causal factors. Subsequently, 69 balloonists (mean 19.51 years’ experience) participated in a survey to identify additional causal factors and rate (out of seven) the perceived frequency and potential impact to ballooning operations of each of the previously identified causal factors. Perceived associated risk was calculated by multiplying mean perceived frequency and impact ratings. Results: Incident report coding identified 54 causal factors within nine higher level areas: Attributes, Crew resource management, Equipment, Errors, Instructors, Organisational, Physical Environment, Regulatory body and Violations. Overall, ‘weather’, ‘inexperience’ and ‘poor/inappropriate decisions’ were rated as having greatest perceived associated risk. Discussion: Although errors were nominated as a prominent cause of hot air ballooning incidents, physical environment and personal attributes are also particularly important for safe hot air ballooning operations. In identifying a range of causal factors the areas of weakness surrounding ballooning operations have been defined; it is hoped that targeted safety and training strategies can now be put into place removing these contributing factors and reducing the chance of pilot error.

Correlation based method for phase identification in a three phase LV distribution network

Low voltage distribution networks feature a high degree of load unbalance and the addition of rooftop photovoltaic is driving further unbalances in the network. Single phase consumers are distributed across the phases but even if the consumer distribution was well balanced when the network was constructed changes will occur over time. Distribution transformer losses are increased by unbalanced loadings. The estimation of transformer losses is a necessary part of the routine upgrading and replacement of transformers and the identification of the phase connections of households allows a precise estimation of the phase loadings and total transformer loss. This paper presents a new technique and preliminary test results for a method of automatically identifying the phase of each customer by correlating voltage information from the utility's transformer system with voltage information from customer smart meters. The techniques are novel as they are purely based upon a time series of electrical voltage measurements taken at the household and at the distribution transformer. Experimental results using a combination of electrical power and current of the real smart meter datasets demonstrate the performance of our techniques.

A model predictive approach for community battery energy storage system optimization

This paper presents an efficient algorithm for optimizing the operation of battery storage in a low voltage distribution network with a high penetration of PV generation. A predictive control solution is presented that uses wavelet neural networks to predict the load and PV generation at hourly intervals for twelve hours into the future. The load and generation forecast, and the previous twelve hours of load and generation history, is used to assemble load profile. A diurnal charging profile can be compactly represented by a vector of Fourier coefficients allowing a direct search optimization algorithm to be applied. The optimal profile is updated hourly allowing the state of charge profile to respond to changing forecasts in load.

Consumer phase identification in a three phase unbalanced LV distribution network

A new technique is presented for automatically identifying the phase connection of domestic customers. Voltage information from a reference three phase house is correlated with voltage information from other customer electricity meters on the same network to determine the highest probability phase connection. The techniques are purely based upon a time series of electrical voltage measurements taken by the household smart meters and no additional equipment is required. The method is demonstrated using real smart meter datasets to correctly identify the phase connections of 75 consumers on a low voltage distribution feeder.

The feasibility of a community pharmacy delivered in-pharmacy influenza vaccination service

Pharmacist-administered vaccination is a reality in many counties including USA, Canada, UK, Portugal, Ireland and New Zealand. In Australia the role of pharmacist administered vaccination has long been supported by the profession particularly the Pharmaceutical Society of Australia and Pharmacy Guild of Australia, however legislation prohibits this practice in each state and territory. In 2013 the only available in-pharmacy vaccination services are those delivered by an immunization nurse, nurse practitioner or general practitioner.

Identification of allanite (Ce, Ca, Y)2(Al, Fe3+)3(SiO4)3OH found in marble from Chillagoe, Queensland using Raman spectroscopy

Samples of marble from Chillagoe, North Queensland have been analyzed using scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS) and Raman spectroscopy. Chemical analyses provide evidence for the presence of minerals other than limestone and calcite in the marble, including silicate minerals. Some of these analyses correspond to silicate minerals. The Raman spectra of these crystals were obtained and the Raman spectrum corresponds to that of allanite from the Arizona State University data base (RRUFF) data base. The combination of SEM with EDS and Raman spectroscopy enables the characterization of the mineral allanite in the Chillagoe marble.

A continental-scale tool for acoustic identification of European bats

Summary 1. Acoustic methods are used increasingly to survey and monitor bat populations. However, the use of acoustic methods at continental scales can be hampered by the lack of standardized and objective methods to identify all species recorded. This makes comparable continent-wide monitoring difficult, impeding progress towards developing biodiversity indicators, transboundary conservation programmes and monitoring species distribution changes. 2. Here we developed a continental-scale classifier for acoustic identification of bats, which can be used throughout Europe to ensure objective, consistent and comparable species identifications. We selected 1350 full-spectrum reference calls from a set of 15 858 calls of 34 European species, from EchoBank, a global echolocation call library. We assessed 24 call parameters to evaluate how well they distinguish between species and used the 12 most useful to train a hierarchy of ensembles of artificial neural networks to distinguish the echolocation calls of these bat species. 3. Calls are first classified to one of five call-type groups, with a median accuracy of 97·6%. The median species-level classification accuracy is 83·7%, providing robust classification for most European species, and an estimate of classification error for each species. 4. These classifiers were packaged into an online tool, iBatsID, which is freely available, enabling anyone to classify European calls in an objective and consistent way, allowing standardized acoustic identification across the continent. 5. Synthesis and applications. iBatsID is the first freely available and easily accessible continental- scale bat call classifier, providing the basis for standardized, continental acoustic bat monitoring in Europe. This method can provide key information to managers and conservation planners on distribution changes and changes in bat species activity through time.

Human vs. machine : identification of bat species from their echolocation calls by humans and by artificial neural networks

Automated remote ultrasound detectors allow large amounts of data on bat presence and activity to be collected. Processing of such data involves identifying bat species from their echolocation calls. Automated species identification has the potential to provide more consistent, predictable, and potentially higher levels of accuracy than identification by humans. In contrast, identification by humans permits flexibility and intelligence in identification, as well as the incorporation of features and patterns that may be difficult to quantify. We compared humans with artificial neural networks (ANNs) in their ability to classify short recordings of bat echolocation calls of variable signal to noise ratios; these sequences are typical of those obtained from remote automated recording systems that are often used in large-scale ecological studies. We presented 45 recordings (1–4 calls) produced by known species of bats to ANNs and to 26 human participants with 1 month to 23 years of experience in acoustic identification of bats. Humans correctly classified 86% of recordings to genus and 56% to species; ANNs correctly identified 92% and 62%, respectively. There was no significant difference between the performance of ANNs and that of humans, but ANNs performed better than about 75% of humans. There was little relationship between the experience of the human participants and their classification rate. However, humans with <1 year of experience performed worse than others. Currently, identification of bat echolocation calls by humans is suitable for ecological research, after careful consideration of biases. However, improvements to ANNs and the data that they are trained on may in future increase their performance to beyond those demonstrated by humans.