A national referral of an integrated network of continuing care a study case

This study aims to characterize the National Long-Term Care Network (NL-TCN) users. The Portuguese National Health Service, was restructured in 2006 with the creation of the National Long-Term Care Network to respond to new health and social needs concerning the continuity of care. Objectives- Analyse the sociodemographic profile of the network users and the review of hospital, local and regional management procedures. Methods-we used various methods of observational or experimental nature (data processing and presentation of results with the program Statistical Package for Social Sciences, version 20, descriptive statistics (frequencies, crosstabs and test chi-square)). The Pearson correlation test showed a positive correlation between time procedures at the local and regional management and hospital’s length of stay. Results- from a sample of 805 cases, 595 (74%) were admitted in the NL-TCN, a rate lower than the national average (86%). Almost half of the sample was admitted in Rehabilitation Units (46%), while nationally the highest number of admissions was in Home Care Teams (30%). The average time from hospital referral to network admission was 9.73 days with a positive correlation between referred network management procedures and hospital length of stay. Conclusions- For specialized units, the maximum waiting times were for the Long-Term and Support Units (mean 30.27 days) and the minimum waiting times were for Home Care Teams (mean 5.57 days). The average time between the local and regional management was 3.59 days. Almost 90% of referrals were orthopaedics, internal medicine and neurology and Network users were mostly elderly (average 75 years old), female and married. Most users were admitted to inpatient units (78%) and only 15% remained in their home town.

Alinhamento das práticas de responsabilidade social com a estratégia das instituições de ensino superior: um referencial de governação socialmente responsável gerador de confiança e reputação organizacional

A responsabilidade social é considerada fundamental para a conquista de vantagens competitivas organizacionais. A integração dos seus princípios na estratégia da organização, apresenta-se como uma linha orientadora do foco na satisfação de necessidades das partes interessadas internas e externas. As actuais limitações orçamentais têm afectado significativamente as Instituições de Ensino Superior, nomeadamente as localizadas no interior de Portugal continental, o que dificulta ainda mais a crescente diminuição de estudantes sendo necessário a implementação de estratégias de captação de estudantes nos vários ciclos, fases de idade e locais de proveniência. O sistema de gestão da responsabilidade social, referenciado na NP 4469.1:2008, apresenta um grande desafio ao modelo de gestão das organizações que o implementam, já que este sistema de gestão tem o potencial de optimizar os interesses das diversas partes interessadas. O foco da instituição passa a ser os das suas partes interessadas, maximizando os seus impactes positivos e minimizando os seus impactes negativos em resultado das suas actividades e decisões. O aumento da eficácia organizacional e a equidade dos interesses das partes interessadas, podem clarificar as funções estratégicas das Instituições de Ensino Superior. Os programas e práticas de responsabilidade social implementados nas Instituições de Ensino Superior do interior de Portugal continental são assim estrategicamente vistos, como um factor de diferenciação positiva face às suas congéneres e em consequência, assumido como um factor para a sua sustentabilidade. A presente investigação procura identificar um modelo de governação socialmente responsável que se comprometa com a dinamização de uma estratégia que preveja práticas de responsabilidade social condutoras a aumentos na confiança e reputação organizacionais nos estudantes e colaboradores das Instituições de Ensino Superior. Tendo por base a abordagem de investigação qualitativa, realizaram-se estudos de caso em duas Instituições de Ensino Superior localizadas no Alentejo, recorrendo-se a várias fontes de informação: entrevistas a 45 entrevistados, entre elementos da governação, colaboradores e estudantes, análise documental e observação participante. Como técnica de tratamento dos dados utilizou-se a análise de conteúdo através do software Atlas Ti. Os resultados da investigação empírica permitem identificar que, as duas Instituições de Ensino Superior melhoraram em termos de visibilidade externa e interna, havendo entrevistados que referem uma melhoria na confiança e reputação em resultado da adesão a práticas de responsabilidade social. O líder de uma das Instituições de Ensino Superior é reconhecido pelos seus pares como de elevado compromisso para com os princípios da responsabilidade social enquanto que o outro líder não é reconhecido da mesma forma. Os estudantes entrevistados, não reconhecem vantagens em resultado das práticas de responsabilidade social tanto ao nível da confiança como reputação organizacional; ABSTRACT: Social responsibility is considered essential to the achievement of organizational competitive advantage. The integration of its principles in the organization's strategy, presents itself as a guiding line focus on meeting the needs of internal and external stakeholders. The current budgetary constraints have significantly affected the higher education institutions, further hindering the increasing decline of students being required to implement student recruitment strategies in the various cycles of age stages and places of origin. The management system of social responsibility, referenced in NP 4469.1:2008, presents a major challenge to the model of management of organizations implementing it, since this management system, has the potential to optimize the interests of the various stakeholders. The focus of the institution happens to be out of their stakeholders, maximizing its positive impacts and minimizing the negative impacts as a result of its activities and decisions. Increased organizational effectiveness and equity interests of stakeholders can clarify the strategic functions of the higher education institutions. Social responsibility programs and Social responsibility practices implemented in higher education institutions in the interior of mainland Portugal are so strategically seen as a positive differentiating factor compared to their counterparts and therefore assumed to be a factor in their sustainability. This research seeks to identify socially responsible governance model that is committed to the promotion of a strategy which envisages conducting social responsibility practices to increases in organizational trust and reputation among students and employees of higher education institutions. Based on the qualitative research approach, there were case studies in two higher education institutions located in the Alentejo, making use of several sources of information: interviews with 45 respondents, between elements of governance, employees and students, document analysis and participant observation. As data processing technique was used content analysis by instrumental Atlas Ti. The results of empirical research identifying that the two higher education institutions have improved in terms of internal and external visibility, with respondents who report an improvement in confidence and reputation as a result of adherence to Social responsibility practices. The leader of one of the higher education institutions are recognized by their peers as high commitment to the principles of social responsibility while the other leader is not recognized in the same way. Students do not recognize advantages as a result of social responsibility practices both in terms of trust and organizational reputation.

Effectiveness of WSUD in the ‘real world’

Many urban developments are implementing Water Sensitive Urban Design (WSUD) strategies to attenuate flows and decrease pollutant loads carried by stormwater runoff. A water quality monitoring project was undertaken at the residential development of ‘Coomera Waters’ on the Gold Coast in Queensland to assess the effectiveness of a bioretention swale, a constructed wetland and a bioretention basin in treating stormwater runoff before it enters protected Melaleuca wetlands. This paper compares the effectiveness of these WSUD devices in reducing flow frequency, peak flow, and stormwater volume leaving the WSUD systems. The pollutant loads reductions are also described and the concentrations of pollutants are compared to the trigger values derived from the ANZECC (2000) Guidelines.

Evaluating equal employment opportunity and its impact on the increased participation of men and women in the transport industry

This paper seeks to identify the approaches undertaken in implementing equal employment opportunity in the transport industry in Australia and the links between these approaches and indicators of increased participation of women. This male dominated industry employs limited numbers of women with fewer numbers of women in management. The study analyses data from a unique set of equal opportunity progress reports from all organisations in the transport industry that are required to provide public reports under Australian legislation. The findings indicate a correlation between some approaches to equal opportunity and increased numbers of women in some areas. The study is equally remarkable for what it does not find. Despite widespread equal opportunity implementation across a broad number of employment measures there are limited measures that predict increases in the numbers of women in management or in non-traditional roles. This study differs from others in that it identifies issues specific to one industry and links organisational approach to equal opportunity with the employment status of both women and men.

Memoirs of a trainer : The search for a balance between quality and best practice

The field of research training (for students and supervisors) is becoming more heavily regulated by the Federal Government. At the same time, quality improvement imperatives are requiring staff across the University to have better access to information and knowledge about a wider range of activities each year. Within the Creative Industries Faculty at the Queensland University of Technology (QUT), the training provided to academic and research staff is organised differently and individually. This session will involve discussion of the dichotomies found in this differentiated approach to staff training, and begin a search for best practice through interaction and input from the audience.

Characterising anomalous events using change point correlation on unsolicited network traffic

Monitoring unused or dark IP addresses offers opportunities to extract useful information about both on-going and new attack patterns. In recent years, different techniques have been used to analyze such traffic including sequential analysis where a change in traffic behavior, for example change in mean, is used as an indication of malicious activity. Change points themselves say little about detected change; further data processing is necessary for the extraction of useful information and to identify the exact cause of the detected change which is limited due to the size and nature of observed traffic. In this paper, we address the problem of analyzing a large volume of such traffic by correlating change points identified in different traffic parameters. The significance of the proposed technique is two-fold. Firstly, automatic extraction of information related to change points by correlating change points detected across multiple traffic parameters. Secondly, validation of the detected change point by the simultaneous presence of another change point in a different parameter. Using a real network trace collected from unused IP addresses, we demonstrate that the proposed technique enables us to not only validate the change point but also extract useful information about the causes of change points.

Characteristics and predictors of high-range speeding offenders

This paper examines an aspect of the data taken from a larger study evaluating the effect of speeding penalty changes on speeding recidivism in Queensland. Traffic offence data from May 1996 to August 2007 were provided to the research team for two cohorts of offenders: individuals who committed a speeding offence in May 2001; and individuals who committed a speeding offence in May 2003. Data included details of the offenders’ index offence, previous and subsequent traffic offences (speeding and other) and their demographic characteristics. Using this data the aim of this component of the research was to use demographic data and the previous traffic offences of these individuals to explore the characteristics and predictors of high-range speeding offenders. High-range offenders were identified as those individuals who committed two or more speeding offences with a recorded speed of 30 km/hr or more above the speed limit. For the purposes of comparison, low-range offenders (committed one speeding offence in the time-frame and that offence was less than 15 km/hr over the speed limit) and mid-range offenders (all other offenders) were identified. Using Chi-square and logistic regression analyses, characteristics and predictors of high-range speeding offenders were identified. The implications and limitations of this study are also discussed.

A 5 year review of information requests to QISU

The Queensland Injury Surveillance Unit (QISU) has been collecting and analysing injury data in Queensland since 1988. QISU data is collected from participating emergency departments (EDs) in urban, rural and remote areas of Queensland. Using this data, QISU produces several injury bulletins per year on selected topics, providing a picture of Queensland injury, and setting this in the context of relevant local, national and international research and policy. These bulletins are used by numerous government and non-government groups to inform injury prevention and practice throughout the state. QISU bulletins are also used by local and state media to inform the general public of injury risk and prevention strategies. In addition to producing the bulletins, QISU regularly responds to requests for information from a variety of sources. These requests often require additional analysis of QISU data to tailor the response to the needs of the end user. This edition of the bulletin reviews 5 years of information requests to QISU.

Three Carrier Ambiguity Resolutions : Generalised problems, models and solutions

In this paper, the problems of three carrier phase ambiguity resolution (TCAR) and position estimation (PE) are generalized as real time GNSS data processing problems for a continuously observing network on large scale. In order to describe these problems, a general linear equation system is presented to uniform various geometry-free, geometry-based and geometry-constrained TCAR models, along with state transition questions between observation times. With this general formulation, generalized TCAR solutions are given to cover different real time GNSS data processing scenarios, and various simplified integer solutions, such as geometry-free rounding and geometry-based LAMBDA solutions with single and multiple-epoch measurements. In fact, various ambiguity resolution (AR) solutions differ in the floating ambiguity estimation and integer ambiguity search processes, but their theoretical equivalence remains under the same observational systems models and statistical assumptions. TCAR performance benefits as outlined from the data analyses in some recent literatures are reviewed, showing profound implications for the future GNSS development from both technology and application perspectives.

Frequency decomposition techniques for increased discriminative 3D facial information capture

Eigen-based techniques and other monolithic approaches to face recognition have long been a cornerstone in the face recognition community due to the high dimensionality of face images. Eigen-face techniques provide minimal reconstruction error and limit high-frequency content while linear discriminant-based techniques (fisher-faces) allow the construction of subspaces which preserve discriminatory information. This paper presents a frequency decomposition approach for improved face recognition performance utilising three well-known techniques: Wavelets; Gabor / Log-Gabor; and the Discrete Cosine Transform. Experimentation illustrates that frequency domain partitioning prior to dimensionality reduction increases the information available for classification and greatly increases face recognition performance for both eigen-face and fisher-face approaches.

Quantitative fit assessment of a precontoured fracture fixation plate : its automation and an investigation on the borderline cases

Virtual methods to assess the fitting of a fracture fixation plate were proposed recently, however with limitations such as simplified fit criteria or manual data processing. This study aims to automate a fit analysis procedure using clinical-based criteria, and then to analyse the results further for borderline fit cases. Three dimensional (3D) models of 45 bones and of a precontoured distal tibial plate were utilized to assess the fitting of the plate automatically. A Matlab program was developed to automatically measure the shortest distance between the bone and the plate at three regions of interest and a plate-bone angle. The measured values including the fit assessment results were recorded in a spreadsheet as part of the batch-process routine. An automated fit analysis procedure will enable the processing of larger bone datasets in a significantly shorter time, which will provide more representative data of the target population for plate shape design and validation. As a result, better fitting plates can be manufactured and made available to surgeons, thereby reducing the risk and cost associated with complications or corrective procedures. This in turn, is expected to translate into improving patients' quality of life.

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

The conventional manual power line corridor inspection processes that are used by most energy utilities are labor-intensive, time consuming and expensive. Remote sensing technologies represent an attractive and cost-effective alternative approach to these monitoring activities. This paper presents a comprehensive investigation into automated remote sensing based power line corridor monitoring, focusing on recent innovations in the area of increased automation of fixed-wing platforms for aerial data collection, and automated data processing for object recognition using a feature fusion process. Airborne automation is achieved by using a novel approach that provides improved lateral control for tracking corridors and automatic real-time dynamic turning for flying between corridor segments, we call this approach PTAGS. Improved object recognition is achieved by fusing information from multi-sensor (LiDAR and imagery) data and multiple visual feature descriptors (color and texture). The results from our experiments and field survey illustrate the effectiveness of the proposed aircraft control and feature fusion approaches.