Post traumatic success: Positive psychology and solution-focused strategies to help clients survive and thrive

I am an academic who has spent a career using a strengths-based approach in researching ways to promote and maintain mental health in people who have experienced trauma. When I read the title of the book, the notion of “post traumatic success” immediately brought many questions to my mind. What is success anyway? How do we measure success following trauma? Who decides if a person has been successful? However, as I started to read, the intention of the book became clear and my bias regarding the title lessened...

External knowledge and query strategies in active learning: A study in clinical information extraction

This paper presents a new active learning query strategy for information extraction, called Domain Knowledge Informativeness (DKI). Active learning is often used to reduce the amount of annotation effort required to obtain training data for machine learning algorithms. A key component of an active learning approach is the query strategy, which is used to iteratively select samples for annotation. Knowledge resources have been used in information extraction as a means to derive additional features for sample representation. DKI is, however, the first query strategy that exploits such resources to inform sample selection. To evaluate the merits of DKI, in particular with respect to the reduction in annotation effort that the new query strategy allows to achieve, we conduct a comprehensive empirical comparison of active learning query strategies for information extraction within the clinical domain. The clinical domain was chosen for this work because of the availability of extensive structured knowledge resources which have often been exploited for feature generation. In addition, the clinical domain offers a compelling use case for active learning because of the necessary high costs and hurdles associated with obtaining annotations in this domain. Our experimental findings demonstrated that 1) amongst existing query strategies, the ones based on the classification model’s confidence are a better choice for clinical data as they perform equally well with a much lighter computational load, and 2) significant reductions in annotation effort are achievable by exploiting knowledge resources within active learning query strategies, with up to 14% less tokens and concepts to manually annotate than with state-of-the-art query strategies.

A theoretical framework for designing and evaluating strategies to identify cases of serious child abuse and neglect

A central dimension of the State’s responsibility in a liberal democracy and any just society is the protection of individuals’ central rights and freedoms, and the creation of the minimum conditions under which each individual has an opportunity to lead a life of sufficient equality, dignity and value. A special subset of this responsibility is to protect those who are unable to protect themselves from genuine harm. Substantial numbers of children suffer serious physical, emotional and sexual abuse, and neglect at the hands of their parents and caregivers or by other known parties. Child abuse and neglect occurs in a situation of extreme power asymmetry. The physical, social, behavioural and economic costs to the individual, and the social and economic costs to communities, are vast. Children are not generally able to protect themselves from serious abuse and neglect. This enlivens both the State’s responsibility to protect the child, and the debate about how that responsibility can and should be discharged. A core question arises for all societies, given that most serious child maltreatment occurs in the family sphere, is unlikely to be disclosed, causes substantial harm to both individual and community, and infringes fundamental individual rights and freedoms. The question is: how can society identify these situations so that the maltreatment can be interrupted, the child’s needs for security and safety, and health and other rehabilitation can be met, and the family’s needs can be addressed to reduce the likelihood of recurrence? This chapter proposes a theoretical framework applicable for any society that is considering justifiable and effective policy approaches to identify and respond to cases of serious child abuse and neglect. The core of the theoretical framework is based on major principles from both classical liberal political philosophy (Locke and Mill), and leading political philosophers from the twentieth century and the first part of the new millennium (Rawls, Rorty, Okin, Nussbaum), and is further situated within fundamental frameworks of civil and criminal law, and health and economics.

Accelerated strategies in the assessment of emergency patients with possible acute coronary syndromes

This thesis synthesises advancements made in the method of assessment of emergency patients with possible acute cardiac disease and has defined new assessment strategies that supports the safe early discharge of patients at low risk for acute coronary syndromes. These important findings have informed clinicians and health services about improvements that can be made at this current time in the process of care of ED patients, and the studies have had local, national and international influence.

The Bonsai Child: Why Modern Parenting Limits Children’s Potential and Practical Strategies to Turn It Around

The Bonsai Child will change the way you think about parenting. The book explains modern parenting trends and the impact on children. Most importantly, the book offers practical strategies to help your child become confident and resilient. These strategies have worked for thousands of parents: they will work for you, too.

Building resilient communities: Creating effective multi-channel communication during disaster response and recovery

Our aim is to examine evidence-based strategies to motivate appropriate action and increase informed decision-making during the response and recovery phases of disasters. We combine expertise in communication, consumer psychology and marketing, disaster and emergency management, and law. This poster presents findings from a social media work package, and preliminary findings from the focus group work package on emergency warning message comprehension.

LED lighting design strategies to enhance window appearance and increase energy savings in daylit office spaces

Vertical windows are the most common and simplest method to introduce daylight to interior spaces of office buildings, while also providing a view and connection to the outside. However, high contrast ratios between windows and surrounding surfaces can cause visual discomfort for occupants and can negatively influence their health and productivity. Consequently, building occupants may try to adapt their working environment through closing blinds and turning on lights in order to improve indoor visual comfort. Such interventions defeat the purpose of daylight harvesting systems and can increase the forecast electric lighting consumption in buildings that include such systems. A simple strategy to prevent these problematic consequences is to reduce the luminance contrasts presented by the window wall by increasing the luminance of areas surrounding the window through the sparing use of energy-efficient supplementary lighting, such light emitting diodes (LEDs). This paper presents the result of a pilot study in typical office in Brisbane, Australia that tests the effectiveness of a supplementary LED lighting system. The study shows an improvement in the appraisal of the visual environment is achieved using the supplementary system, along with up to 88% reductions in luminance contrast at the window wall. Also observed is a 36% reduction in the likelihood of user interventions that would increase energy usage. These results are used as the basis of an annual energy simulation of the test office and indicate that supplementary systems could be used to save energy beyond what is typically realised in side lit office spaces.

Improving the impact of luminance contrast on the window appearance in a conventional office room: Using supplementary lighting strategies

High contrast ratios between windows and surrounding surfaces could cause reduced visibility or discomfort for occupants. Consequently, building users may choose to intervene in lighting conditions through closing blinds and turning on the lamps in order to enhance indoor visual comfort. Such interventions increase projected electric lighting use in buildings. One simple method to prevent these problematic issues is increasing the luminance of the areas surrounding to the bright surface of windows through the use of energy-efficient supplementary lighting, such Light Emitting Diodes (LEDs). This paper reports on the results of a pilot study in conventional office in Brisbane, Australia. The outcomes of this study indicated that a supplementary LED system of approximately 18 W could reduce the luminance contrast on the window wall from values in the order of 117:1 to 33:1. In addition, the results of this experiment suggested that this supplementary strategy could increase the subjective scale appraisal of window appearance by approximately 33%, as well as reducing the likelihood of users’ intention to turn on the ceiling lights by about 27%. It could also diminish the likelihood of occupants’ intention to move the blind down by more than 90%.

New England Youth Speeding Project: A pilot study of young drivers and risky driving: Effective strategies for preventing speeding amongst young Australians aged 16-25 years in the New England Region

Young Australian drivers aged 17 – 25 years are overwhelmingly represented in road fatalities where speed is a factor. In the combined LGAs of Armidale Dumaresq, Guyra, Uralla and Walcha in the 5 years 1999-2003 inclusive, 43% of speeding related casualty crashes involved a young driver aged less than 25 years. This is despite the fact that the 17-25 age group account for only 25% of the driving population in this area. Young male drivers account for the majority of these crashes and also tend to have a higher number of driving offences and accrue more penalties for road traffic offences, especially speeding. By analysing data from questionnaires by male and female participants this research project has been able to evaluate road safety advertisements to determine which ones are most effective to young drivers, what features of these advertisements are effective, how males differ from females in their receptiveness and preferences for road safety advertisements and specifically how to target young people especially young men in conveying road safety messages. Finally this research project has identified factors that are important in the production of media road safety advertisements and has made recommendations for how best to convey effective road safety messages to young Australian drivers in rural areas.

Cooperative diversity for performance enhancement of vehicular ad hoc networks

This project was a step forward in introducing suitable cooperative diversity transmission techniques for vehicle to vehicle communications. The contributions are intended to aid in the successful implementation of future vehicular safety and autonomous controlling systems. Several protocols were introduced for vehicles to communicate effectively without losing connectivity. This study investigated novel protocols in terms of diversity-multiplexing trade-off and outage for a range of potential vehicular safety and infotainment applications.

Open innovation in small and medium-sized enterprises (SMEs): External knowledge sourcing strategies and internal organizational facilitators

In this paper we explore how small and medium-sized enterprises (SMEs) engage in external knowledge sourcing, a form of inbound open innovation. We draw upon a sample of 1,411 SMEs and empirically conceptualize a typology of strategic types of external knowledge sourcing, namely minimal, supply-chain, technology-oriented, application-oriented, and full-scope sourcing. Each strategy reflects the nature of external interactions and is linked to a distinct mixture of four internal practices for managing innovation. Both full-scope and application-oriented sourcing offer performance benefits and are associated with a stronger focus on managing innovation. However, they differ in their managerial focus on strategic and operational aspects.

Mimicking breast cancer-induced bone metastasis in vivo: Current transplantation models and advanced humanized strategies

Bone metastasis is a complication that occurs in 80 % of women with advanced breast cancer. Despite the prevalence of bone metastatic disease, the avenues for its clinical management are still restricted to palliative treatment options. In fact, the underlying mechanisms of breast cancer osteotropism have not yet been fully elucidated due to a lack of suitable in vivo models that are able to recapitulate the human disease. In this work, we review the current transplantation-based models to investigate breast cancer-induced bone metastasis and delineate the strengths and limitations of the use of different grafting techniques, tissue sources, and hosts. We further show that humanized xenograft models incorporating human cells or tissue grafts at the primary tumor site or the metastatic site mimic more closely the human disease. Tissue-engineered constructs are emerging as a reproducible alternative to recapitulate functional humanized tissues in these murine models. The development of advanced humanized animal models may provide better platforms to investigate the mutual interactions between human cancer cells and their microenvironment and ultimately improve the translation of preclinical drug trials to the clinic.

The root locus method: application to linear stability analysis and design of cooperative car-following models

A global framework for linear stability analyses of traffic models, based on the dispersion relation root locus method, is presented and is applied taking the example of a broad class of car-following (CF) models. This approach is able to analyse all aspects of the dynamics: long waves and short wave behaviours, phase velocities and stability features. The methodology is applied to investigate the potential benefits of connected vehicles, i.e. V2V communication enabling a vehicle to send and receive information to and from surrounding vehicles. We choose to focus on the design of the coefficients of cooperation which weights the information from downstream vehicles. The coefficients tuning is performed and different ways of implementing an efficient cooperative strategy are discussed. Hence, this paper brings design methods in order to obtain robust stability of traffic models, with application on cooperative CF models

Microscopic cooperative traffic flow: Calibration and simulation based on a next generation simulation dataset

The deployment of new emerging technologies, such as cooperative systems, allows the traffic community to foresee relevant improvements in terms of traffic safety and efficiency. Autonomous vehicles are able to share information about the local traffic state in real time, which could result in a better reaction to the mechanism of traffic jam formation. An upstream single-hop radio broadcast network can improve the perception of each cooperative driver within a specific radio range and hence the traffic stability. The impact of vehicle to vehicle cooperation on the onset of traffic congestion is investigated analytically and through simulation. A next generation simulation field dataset is used to calibrate the full velocity difference car-following model, and the MOBIL lane-changing model is implemented. The robustness of the calibration as well as the heterogeneity of the drivers is discussed. Assuming that congestion can be triggered either by the heterogeneity of drivers' behaviours or abnormal lane-changing behaviours, the calibrated car-following model is used to assess the impact of a microscopic cooperative law on egoistic lane-changing behaviours. The cooperative law can help reduce and delay traffic congestion and can have a positive effect on safety indicators.