Integrated health prediction of bridge systems using dynamic object oriented Bayesian networks (DOOBNS)

The serviceability and safety of bridges are crucial to people’s daily lives and to the national economy. Every effort should be taken to make sure that bridges function safely and properly as any damage or fault during the service life can lead to transport paralysis, catastrophic loss of property or even casualties. Nonetheless, aggressive environmental conditions, ever-increasing and changing traffic loads and aging can all contribute to bridge deterioration. With often constrained budget, it is of significance to identify bridges and bridge elements that should be given higher priority for maintenance, rehabilitation or replacement, and to select optimal strategy. Bridge health prediction is an essential underpinning science to bridge maintenance optimization, since the effectiveness of optimal maintenance decision is largely dependent on the forecasting accuracy of bridge health performance. The current approaches for bridge health prediction can be categorised into two groups: condition ratings based and structural reliability based. A comprehensive literature review has revealed the following limitations of the current modelling approaches: (1) it is not evident in literature to date that any integrated approaches exist for modelling both serviceability and safety aspects so that both performance criteria can be evaluated coherently; (2) complex system modelling approaches have not been successfully applied to bridge deterioration modelling though a bridge is a complex system composed of many inter-related bridge elements; (3) multiple bridge deterioration factors, such as deterioration dependencies among different bridge elements, observed information, maintenance actions and environmental effects have not been considered jointly; (4) the existing approaches are lacking in Bayesian updating ability to incorporate a variety of event information; (5) the assumption of series and/or parallel relationship for bridge level reliability is always held in all structural reliability estimation of bridge systems. To address the deficiencies listed above, this research proposes three novel models based on the Dynamic Object Oriented Bayesian Networks (DOOBNs) approach. Model I aims to address bridge deterioration in serviceability using condition ratings as the health index. The bridge deterioration is represented in a hierarchical relationship, in accordance with the physical structure, so that the contribution of each bridge element to bridge deterioration can be tracked. A discrete-time Markov process is employed to model deterioration of bridge elements over time. In Model II, bridge deterioration in terms of safety is addressed. The structural reliability of bridge systems is estimated from bridge elements to the entire bridge. By means of conditional probability tables (CPTs), not only series-parallel relationship but also complex probabilistic relationship in bridge systems can be effectively modelled. The structural reliability of each bridge element is evaluated from its limit state functions, considering the probability distributions of resistance and applied load. Both Models I and II are designed in three steps: modelling consideration, DOOBN development and parameters estimation. Model III integrates Models I and II to address bridge health performance in both serviceability and safety aspects jointly. The modelling of bridge ratings is modified so that every basic modelling unit denotes one physical bridge element. According to the specific materials used, the integration of condition ratings and structural reliability is implemented through critical failure modes. Three case studies have been conducted to validate the proposed models, respectively. Carefully selected data and knowledge from bridge experts, the National Bridge Inventory (NBI) and existing literature were utilised for model validation. In addition, event information was generated using simulation to demonstrate the Bayesian updating ability of the proposed models. The prediction results of condition ratings and structural reliability were presented and interpreted for basic bridge elements and the whole bridge system. The results obtained from Model II were compared with the ones obtained from traditional structural reliability methods. Overall, the prediction results demonstrate the feasibility of the proposed modelling approach for bridge health prediction and underpin the assertion that the three models can be used separately or integrated and are more effective than the current bridge deterioration modelling approaches. The primary contribution of this work is to enhance the knowledge in the field of bridge health prediction, where more comprehensive health performance in both serviceability and safety aspects are addressed jointly. The proposed models, characterised by probabilistic representation of bridge deterioration in hierarchical ways, demonstrated the effectiveness and pledge of DOOBNs approach to bridge health management. Additionally, the proposed models have significant potential for bridge maintenance optimization. Working together with advanced monitoring and inspection techniques, and a comprehensive bridge inventory, the proposed models can be used by bridge practitioners to achieve increased serviceability and safety as well as maintenance cost effectiveness.

Eliciting Expert Knowledge in Conservation Science

Expert knowledge is used widely in the science and practice of conservation because of the complexity of problems, relative lack of data, and the imminent nature of many conservation decisions. Expert knowledge is substantive information on a particular topic that is not widely known by others. An expert is someone who holds this knowledge and who is often deferred to in its interpretation. We refer to predictions by experts of what may happen in a particular context as expert judgments. In general, an expert-elicitation approach consists of five steps: deciding how information will be used, determining what to elicit, designing the elicitation process, performing the elicitation, and translating the elicited information into quantitative statements that can be used in a model or directly to make decisions. This last step is known as encoding. Some of the considerations in eliciting expert knowledge include determining how to work with multiple experts and how to combine multiple judgments, minimizing bias in the elicited information, and verifying the accuracy of expert information. We highlight structured elicitation techniques that, if adopted, will improve the accuracy and information content of expert judgment and ensure uncertainty is captured accurately. We suggest four aspects of an expert elicitation exercise be examined to determine its comprehensiveness and effectiveness: study design and context, elicitation design, elicitation method, and elicitation output. Just as the reliability of empirical data depends on the rigor with which it was acquired so too does that of expert knowledge.

Proteomics science & society : the role of knowledge translation in moving towards clinical applications

Background: Outside the mass-spectrometer, proteomics research does not take place in a vacuum. It is affected by policies on funding and research infrastructure. Proteomics research both impacts and is impacted by potential clinical applications. It provides new techniques & clinically relevant findings, but the possibilities for such innovations (and thus the perception of the potential for the field by funders) are also impacted by regulatory practices and the readiness of the health sector to incorporate proteomics-related tools & findings. Key to this process is how knowledge is translated. Methods: We present preliminary results from a multi-year social science project, funded by the Canadian Institutes of Health Research, on the processes and motivations for knowledge translation in the health sciences. The proteomics case within this wider study uses qualitative methods to examine the interplay between proteomics science and regulatory and policy makers regarding clinical applications of proteomics. Results: Adopting an interactive format to encourage conference attendees’ feedback, our poster focuses on deficits in effective knowledge translation strategies from the laboratory to policy, clinical, & regulatory arenas. An analysis of the interviews conducted to date suggests five significant choke points: the changing priorities of funding agencies; the complexity of proteomics research; the organisation of proteomics research; the relationship of proteomics to genomics and other omics sciences; and conflict over the appropriate role of standardisation. Conclusion: We suggest that engagement with aspects of knowledge translation, such as those mentioned above, is crucially important for the eventual clinical application ofproteomics science on any meaningful scale.

An analytical tool that quantifies cellular morphology changes from three-dimensional fluorescence images

The most common software analysis tools available for measuring fluorescence images are for two-dimensional (2D) data that rely on manual settings for inclusion and exclusion of data points, and computer-aided pattern recognition to support the interpretation and findings of the analysis. It has become increasingly important to be able to measure fluorescence images constructed from three-dimensional (3D) datasets in order to be able to capture the complexity of cellular dynamics and understand the basis of cellular plasticity within biological systems. Sophisticated microscopy instruments have permitted the visualization of 3D fluorescence images through the acquisition of multispectral fluorescence images and powerful analytical software that reconstructs the images from confocal stacks that then provide a 3D representation of the collected 2D images. Advanced design-based stereology methods have progressed from the approximation and assumptions of the original model-based stereology(1) even in complex tissue sections(2). Despite these scientific advances in microscopy, a need remains for an automated analytic method that fully exploits the intrinsic 3D data to allow for the analysis and quantification of the complex changes in cell morphology, protein localization and receptor trafficking. Current techniques available to quantify fluorescence images include Meta-Morph (Molecular Devices, Sunnyvale, CA) and Image J (NIH) which provide manual analysis. Imaris (Andor Technology, Belfast, Northern Ireland) software provides the feature MeasurementPro, which allows the manual creation of measurement points that can be placed in a volume image or drawn on a series of 2D slices to create a 3D object. This method is useful for single-click point measurements to measure a line distance between two objects or to create a polygon that encloses a region of interest, but it is difficult to apply to complex cellular network structures. Filament Tracer (Andor) allows automatic detection of the 3D neuronal filament-like however, this module has been developed to measure defined structures such as neurons, which are comprised of dendrites, axons and spines (tree-like structure). This module has been ingeniously utilized to make morphological measurements to non-neuronal cells(3), however, the output data provide information of an extended cellular network by using a software that depends on a defined cell shape rather than being an amorphous-shaped cellular model. To overcome the issue of analyzing amorphous-shaped cells and making the software more suitable to a biological application, Imaris developed Imaris Cell. This was a scientific project with the Eidgenössische Technische Hochschule, which has been developed to calculate the relationship between cells and organelles. While the software enables the detection of biological constraints, by forcing one nucleus per cell and using cell membranes to segment cells, it cannot be utilized to analyze fluorescence data that are not continuous because ideally it builds cell surface without void spaces. To our knowledge, at present no user-modifiable automated approach that provides morphometric information from 3D fluorescence images has been developed that achieves cellular spatial information of an undefined shape (Figure 1). We have developed an analytical platform using the Imaris core software module and Imaris XT interfaced to MATLAB (Mat Works, Inc.). These tools allow the 3D measurement of cells without a pre-defined shape and with inconsistent fluorescence network components. Furthermore, this method will allow researchers who have extended expertise in biological systems, but not familiarity to computer applications, to perform quantification of morphological changes in cell dynamics.

Larger or broader : performance implications of size and diversity of the knowledge worker's egocentric network. [更多或更广：知识员工个人中心网络大小和 多样性对绩效的影响]

Management scholars and practitioners emphasize the importance of the size and diversity of a knowledge worker's social network. Constraints on knowledge workers’ time and energy suggest that more is not always better. Further, why and how larger networks contribute to valuable outcomes deserves further understanding. In this study, we offer hypotheses to shed insight on the question of the diminishing returns of large networks and the specific form of network diversity that may contribute to innovative performance among knowledge workers. We tested our hypotheses using data collected from 93 R&D engineers in a Sino-German automobile electronics company located in China. Study findings identified an inflection point, confirming our hypothesis that the size of the knowledge worker's egocentric network has an inverted U-shaped effect on job performance. We further demonstrate that network dispersion richness (the number of cohorts that the focal employee has connections to) rather than network dispersion evenness (equal distribution of ties across the cohorts) has more influence on the knowledge worker's job performance. Additionally, we found that the curvilinear effect of network size is fully mediated by network dispersion richness. Implications for future research on social networks in China and Western contexts are discussed.

Potentials of social media for tacit knowledge sharing amongst physicians : preliminary findings

Tacit knowledge sharing amongst physicians, such as the sharing of clinical experiences, skills, or know-how, or know-whom, is known to have a significant impact on the quality of medical diagnosis and decisions. This paper posits that social media can provide new opportunities for tacit knowledge sharing amongst physicians, and demonstrates this by presenting findings from a review of relevant literature and a survey conducted with physicians. Semi-structured interviews were conducted with ten physicians from around the world who were active users of social media. Initial thematic analysis revealed eight themes as potential contributions of social web tools to facilitate tacit knowledge flow amongst physicians. The emergent themes are defined, linked to the literature, and supported by instances of interview transcripts. Findings presented here are preliminary, and final results will be reported after accomplishing all phases of data collection and analysis.

Promotion and succession management and associated retention issues in Australian law firms

The focus of this research was promotion and succession management in Australian law firms. Two staff retention issues currently faced by the Australian legal industry were identified as suggesting possible failures in this area: 1) Practitioners are leaving law firms early in their careers, 2) Female representation is disproportionally low at partnership level. The research described current Australian law firm promotion and succession practices and then explained their possible relevance to the two retention issues. The overall aim of the research was to uncover key findings and present practical recommendations to law firm managers and partners ready for incorporation into their future promotion and succession planning practice. In so doing the research aimed to benefit the Australian legal community as a whole. Four areas of literature relevant to the topic were reviewed, 1) law firm governance concluding that the fundamental values of the P²-Form remained constant (Cooper, Hinings, Greenwood & Brown, 1996; Morris & Pinnington, 1998) with ownership and strategic control of law firms remaining in the hands of partners; 2) the importance of individual practitioners to law firms concluding that the actual and opportunity costs relating to practitioner turnover were significant due to the transient nature of knowledge as a key asset of law firms (Gottschalk & Khandelwal, 2004; Rebitzer & Taylor, 2007); 3) generational differences concluding with support for the work of Finegold, Mohrman and Spreitzer (2002), Davis, Pawlowski and Houston (2006), Kuhnreuther (2003), and Avery, McKay, and Wilson (2007) which indicated that generational cohort differences were of little utility in human resources management practice; and 4) previous research relating to law firm promotion and succession practices indicating that five practices were relevant in law firm promotion outcomes; 1) firm billing requirements (Gorman & Kmec, 2009; Phillips, 2001; Noonan & Corcoran, 2004; Webley & Duff, 2007); 2) mentoring programs (Phillips, 2001; Noonan & Corcoran, 2004); 3) the existence of female partners (Gorman & Kmec, 2009; Beckman & Phillips, 2005); 4) non-partner career paths (Phillips, 2001; Corcoran & Noonan, 2004); and 5) the existence of family friendly policies (Gorman & Kmec, 2009; Phillips, 2001; Noonan & Corcoran, 2004; Webley & Duff, 2007.) The research was carried out via a sequential mixed method approach. The initial quantitative study was based upon a theoretical framework grounded in the literature and provided baseline information describing Australian law firm promotion and succession practices. The study was carried out via an on-line survey of Australian law firm practitioners. The results of the study provided the basis for the second qualitative study. The qualitative study further explained the statistically generated results and focused specifically on the two identified retention issues. The study was conducted via one-on-one interviews with Australian law firm partners and experienced law firm managers. The results of both studies were combined within the context of relevant literature resulting in eight key findings: Key findings 1) Organisational commitment levels across generational cohorts are more homogenous than different. 2) Law firm practitioners are leaving law firms early in their careers due to the heavy time commitment behaviour demanded of them, particularly by clients. 3) Law firm promotion and succession practices reinforce practitioner time commitment behaviour marking it as an indicator of practitioner success. 4) Law firm practitioners believe that they have many career options outside law firms and are considering these options. 5) Female practitioners are considering opting out of law firms due to time commitment demands related to partnership conflicting with family commitment demands. 6) A masculine, high time commitment culture in law firms is related to the decision by female practitioners to leave law firms. 7) The uptake of alternative work arrangements by female practitioners is not fatal to their partnership prospects particularly in firms with supportive policies, processes and organisational culture. 8) Female practitioners are less inclined than their male counterparts to seek partnership as an ultimate goal and are more likely to opt out of law firms exhibiting highly competitive, masculine cultures. Practical recommendations Further review of the data collected in relation to the key findings provided the basis for nine practical recommendations specifically geared towards implementation by law firm managers and partners. The first recommendation relates to the use of generational differences in practitioner management. The next six relate to recommended actions to reduce the time commitment demands on practitioners. The final two recommendations relate to the practical implementation of these actions both at an individual and organisational level. The recommendations are as follows: 1) "Generationally driven," age based generalisations should not be utilised in law firm promotion and succession management practice. 2) Expected levels of client access to practitioners be negotiated on a client by client basis and be included in client retention agreements. 3) Appropriate alternative working arrangements such as working off-site, flexible working hours or part-time work be offered to practitioners in situations where doing so will not compromise client serviceability. 4) The copying of long working hour behaviours of senior practitioners should be discouraged particularly where information technology can facilitate remote client serviceability. 5) Refocus the use of timesheets from an employer monitoring tool to an employee empowerment tool. 6) Policies and processes relating to the offer of alternative working arrangements be supported and reinforced by law firm organisational culture. 7) Requests for alternative working arrangements be determined without regard to gender. 8) Incentives and employment conditions offered to practitioners to be individualised based on the subjective need of the individual and negotiated as a part of the current employee performance review process. 9) Individually negotiated employment conditions be negotiated within the context of the firm’s overall strategic planning process. Through the conduct of the descripto-explanatory study, a detailed discussion of current law firm promotion and succession practices was enabled. From this discussion, 7 eight key findings and nine associated recommendations were generated as well as an insight into the future of the profession being given. The key findings and recommendations provide practical advice to law firm managers and partners in relation to their everyday promotion and succession practice. The need to negotiate individual employee workplace conditions and their integration into overall law firm business planning was put forward. By doing so, it was suggested that both the individual employee and the employing law firm would mutually benefit from the arrangement. The study therefore broadened its practical contribution from human resources management to a contribution to the overall management practice of Australian law firms. In so doing, the research has provided an encompassing contribution to the Australian legal industry both in terms of employee welfare as well as firm and industry level success.

The impact of a model of nurse education to improve knowledge and recognition of delirium in older persons by registered nurses

Introduction: Delirium is a serious issue associated with high morbidity and mortality in older hospitalised people. Early recognition enables diagnosis and treatment of underlying cause/s, which can lead to improved patient outcomes. However, research shows knowledge and accurate nurse recognition of delirium and is poor and lack of education appears to be a key issue related to this problem. Thus, the purpose of this randomised controlled trial (RCT) was to evaluate, in a sample of registered nurses, the usability and effectiveness of a web-based learning site, designed using constructivist learning principles, to improve acute care nurse knowledge and recognition of delirium. Prior to undertaking the RCT preliminary phases involving; validation of vignettes, video-taping five of the validated vignettes, website development and pilot testing were completed. Methods: The cluster RCT involved consenting registered nurse participants (N = 175) from twelve clinical areas within three acute health care facilities in Queensland, Australia. Data were collected through a variety of measures and instruments. Primary outcomes were improved ability of nurses to recognise delirium using written validated vignettes and improved knowledge of delirium using a delirium knowledge questionnaire. The secondary outcomes were aimed at determining nurse satisfaction and usability of the website. Primary outcome measures were taken at baseline (T1), directly after the intervention (T2) and two months later (T3). The secondary outcomes were measured at T2 by participants in the intervention group. Following baseline data collection remaining participants were assigned to either the intervention (n=75) or control (n=72) group. Participants in the intervention group were given access to the learning intervention while the control group continued to work in their clinical area and at that time, did not receive access to the learning intervention. Data from the primary outcome measures were examined in mixed model analyses. Results: Overall, the effect of the online learning intervention over time comparing the intervention group and the control group were positive. The intervention groups‘ scores were higher and the change over time results were statistically significant [T3 and T1 (t=3.78 p=<0.001) and T2 and T1 baseline (t=5.83 p=<0.001)]. Statistically significant improvements were also seen for delirium recognition when comparing T2 and T1 results (t=2.58 p=0.012) between the control and intervention group but not for changes in delirium recognition scores between the two groups from T3 and T1 (t=1.80 p=0.074). The majority of the participants rated the website highly on the visual, functional and content elements. Additionally, nearly 80% of the participants liked the overall website features and there were self-reported improvements in delirium knowledge and recognition by the registered nurses in the intervention group. Discussion: Findings from this study support the concept that online learning is an effective and satisfying method of information delivery. Embedded within a constructivist learning environment the site produced a high level of satisfaction and usability for the registered nurse end-users. Additionally, the results showed that the website significantly improved delirium knowledge & recognition scores and the improvement in delirium knowledge was retained at a two month follow-up. Given the strong effect of the intervention the online delirium intervention should be utilised as a way of providing information to registered nurses. It is envisaged that this knowledge would lead to improved recognition of delirium as well as improvement in patient outcomes however; translation of this knowledge attainment into clinical practice was outside the scope of this study. A critical next step is demonstrating the effect of the intervention in changing clinical behaviour, and improving patient health outcomes.

Investigating knowledge transfer through transnational programs between Indonesian and Australian universities : A conceptual framework

Globalization stimulated demand for transnational higher education. However, little is known about how transnational programs can facilitate knowledge transfer between the partner universities—something that is often implied in the partnership arrangement. For the purpose of this paper transnational programs will be limited to dual degree programs between Indonesian and Australian universities, which, in recent years have been rising. Nevertheless, the discussion and synthesis may have value to other transnational programs. Situating the knowledge transfer in the wider context of globalization of higher education and the current reforms in Indonesian education, the paper acknowledges the tension between the need to generate revenue and the ideals of facilitating knowledge transfer and capacity development for Indonesian universities. Drawing on a detailed review of research findings in the business and education sector literature, this paper presents a conceptual framework that may be used to analyze knowledge transfer between Indonesian and Australian universities. Such investigations delineate the significant drivers underlying transnational programs for supporting knowledge transfer. The proposed framework incorporates the types of knowledge, knowledge transfer mechanisms, and the processes. It also considers how the inter-university antecedents may affect the potential for knowledge transfer between the universities. A discussion of how the framework may be used to implemented knowledge transfer concludes this paper.

Using critical incident interviews to identify the mental health knowledge, skills and attitudes of entry-level dietitians

Aim: This paper aims to explore new graduates experience working with clients with mental health issues using critical incident interviews. Methods: The qualitative research techniques were based on phenomenology. A purposive sample of 19 new graduate dietitians was drawn from a range of work settings and locations throughout Australia. Data was gathered using thirty minute Critical Incident Interviews. Audio-taped data was transcribed, coded to identify common themes, compared for congruence and then categorised into knowledge, skills and attitudes. Results: New graduates encountered a range of situations involving a variety of mental health, wellbeing, dietetic and clinical issues. Common themes highlighted the mental health knowledge, skills and attitudes required for entry-level dietitians which then informed the review of the National Competency Standards for Entry-Level Dietitians. Conclusion: New graduates encounter a variety of mental health and wellbeing issues in their everyday practice and therefore require training to address these situations competently.

Using social media to facilitate knowledge transfer in complex engineering environments : a primer for educators

While highly cohesive groups are potentially advantageous they are also often correlated with the emergence of knowledge and information silos based around those same functional or occupational clusters. Consequently, an essential challenge for engineering organisations wishing to overcome informational silos is to implement mechanisms that facilitate, encourage and sustain interactions between otherwise disconnected groups. This paper acts as a primer for those seeking to gain an understanding of the design, functionality and utility of a suite of software tools generically termed social media technologies in the context of optimising the management of tacit engineering knowledge. Underpinned by knowledge management theory and using detailed case examples, this paper explores how social media technologies achieve such goals, allowing for the transfer of knowledge by tapping into the tacit and explicit knowledge of disparate groups in complex engineering environments.