584 resultados para Ambiguous Situations


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Parents whose children are identified as having experienced or being at risk of experiencing significant harm potentially provide an invaluable dimension to our understanding of the circumstances that result in child abuse or neglect and how best to respond to these invariably complex situations. This paper reports findings from a study of the experiences of six parents. In-depth interviews were conducted with four mothers and two fathers who had been referred to an intensive family support services by the Queensland statutory child protection authority. Using a critical ecological perspective, the study focused on identifying and understanding the experiences of the parents in using formal family support services, including aspects of service delivery that were helpful or unhelpful. Parents also commented on their experiences of statutory child protection services. Service components and worker qualities that parents identified as being helpful included being accessible, targeted and integrated and being able to meet a continuum of needs, from a micro to a broader level. Their reports provide invaluable insight into how formal family support services, including child protection services, can better meet the needs of parents in addressing the recurring problem of child maltreatment.

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As part of the effort to protect children from significant abuse and neglect, each state and territory in Australia has enacted legislation commonly known as "mandatory reporting laws". There is much confusion about the nature and effects of these laws, both generally and within each jurisdiction. Accordingly, the main aim of this chapter is to review and explain the legislative principles across Australia. In doing so, the chapter will identify differences between the state and territory laws and will situate the laws as part of a system of responses to the whole spectrum of child abuse and neglect. We will also highlight the need for effective reporter training and public awareness, especially given the tension between the widely perceived need for a community response to child abuse and neglect and the simultaneous concern to avoid unnecessary reporting of innocuous events and situations.

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This text is designed to implement the Threshold Learning Outcomes (TLOs) for law in the first year, and to incorporate Sally Kift’s First Year Curriculum principles: http://tls.vu.edu.au/portal/site/trans/Resources/KiftTransitonPedagogySixPrinciples_16Nov09.pdf This is a learning-centered text book intentionally designed for first year students and written by experts in legal education and the first year experience. It is written in a tone and style that engages and communicates effectively with first year law students, without compromising its rigour. It provides students with opportunities to contextualise and make sense of their learning by connecting that learning with what they already know, and with current contemporary issues and affairs. This work is designed to ease students through the transition from a diverse variety of backgrounds (such as high school, work or other disciplines) to the first year of law. It provides practical guidance about adjusting to law school and to university. Students are asked to regularly reflect upon why they are studying law. The book also prepares law students for success in their latter year studies in law by ensuring that they are equipped with the necessary threshold concepts and foundational skills to do well: for example, research skills (particularly, online research skills), reasoning skills, written communication skills, negotiation skills, and self-management skills. A range of practical tips on studying law are provided throughout the book. The work also asks students to engage with developing an emergent sense of professional identity – including what it means to ‘think like a lawyer’. In supporting the students to engage with the concept of professional identity, the work begins a process of preparing students for transition from law school to legal practice. This is achieved by providing explanations of how the material being presented relates to the practice of law, as well as practical information relating to employability skills as a new graduate. This work has a number of learning and teaching objectives to enhance the quality of student learning in their first year of law by engaging, motivating and supporting that learning. First, the work is designed to engage first year students with their legal education and with a future sense of professional identity. It does this through its: • Dynamic writing style • Engaging format • Inclusion of contemporary issues and events • Flowcharts, checklists, mind-maps, tables and timelines • Inclusion of real-world problems and dilemmas. Second, the text motivates student learning by promoting active learning. It does this by: • Demonstrating, and asking students to practice, what they need to do – that is, the work is not simply focussed on telling students what they need to know • Including regular self-directed learning exercises throughout each chapter, such as practical exercises for the development of important foundational legal skills • Including exercises that promote student collaboration, and that require students to apply their learning to practical situations, and • Incorporating a range of interesting active thinking points and research activities. Third, the book supports student learning by encouraging reflective learning and independent learning. It does this by including: • Specific content on how to be a reflective practitioner and an independent learner • Exercises that require students to engage in independent learning, particularly in relation to legal research skill development • Exercises requiring students to reflect upon what they have learned, and encouraging students to keep a reflective learning journal • Exercises requiring students to reflect upon their own views and beliefs • Reflection on whether students have achieved the learning objectives articulated at the beginning of the chapter. The work also: • Demonstrates respect for student experiences, views, opinions and values • Acknowledges student diversity • Recognises the importance of being globally minded law students and lawyers • Supports law teachers in using the work in their classrooms through the provision of comprehensive teaching materials.

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This paper investigates the effect of topic dependent language models (TDLM) on phonetic spoken term detection (STD) using dynamic match lattice spotting (DMLS). Phonetic STD consists of two steps: indexing and search. The accuracy of indexing audio segments into phone sequences using phone recognition methods directly affects the accuracy of the final STD system. If the topic of a document in known, recognizing the spoken words and indexing them to an intermediate representation is an easier task and consequently, detecting a search word in it will be more accurate and robust. In this paper, we propose the use of TDLMs in the indexing stage to improve the accuracy of STD in situations where the topic of the audio document is known in advance. It is shown that using TDLMs instead of the traditional general language model (GLM) improves STD performance according to figure of merit (FOM) criteria.

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Extensive research has highlighted the positive and exponential relationship between vehicle speed and crash risk and severity. Speed enforcement policies and practices throughout the world have developed dramatically as new technology becomes available, however speeding remains a pervasive problem internationally that significantly contributes to road trauma. This paper adopted a three-pronged approach to review speed enforcement policies and practices by: (i) describing and comparing policies and practices adopted in a cross-section of international jurisdictions; (ii) reviewing the available empirical evidence evaluating the effectiveness of various approaches, and; (iii) providing recommendations for the optimisation speed enforcement. The review shows the enforcement strategies adopted in various countries differ both in terms of the approaches used and how they are specifically applied. The literature review suggests strong and consistent evidence that police speed enforcement, in particular speed cameras, can be an effective tool for reducing vehicle speeds and subsequent traffic crashes. Drawing from this evidence, recommendations for best practice are proposed, including the specific instances in which various speed enforcement approaches typically produce the greatest road safety benefits, and perhaps most importantly, that speed enforcement programs must utilise a variety of strategies tailored to specific situations, rather than a one-size-fits-all approach.

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Road asset managers are seeking analysis of the whole road network to supplement statistical analyses of small subsets of homogeneous roadway. This study outlines the use of data mining capable of analyzing the wide range of situations found on the network, with a focus on the role of skid resistance in the cause of crashes. Results from the analyses show that on non-crash-prone roads with low crash rates, skid resistance contributes only in a minor way, whereas on high-crash roadways, skid resistance often contributes significantly in the calculation of the crash rate. The results provide evidence supporting a causal relationship between skid resistance and crashes and highlight the importance of the role of skid resistance in decision making in road asset management.

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This paper is presented in workshop format in order to meet the style and themes of the conference, and seeks to explore as fully as possible with participants issues, concerns and proposals around the discourse of young people and citizenship. This paper takes the position that the relationship between young people and citizenship is complex and in places contradictory, and while Ruth Lister (1998), argues for an 'inclusionary potential', a central concern is that the citizenship that young people get is as Hartley Dean (1997), suggests, at best 'ambiguous', and at its worst, 'diminished'. Under not so new Labour, the term has according to Gail Lewis (1998) re-emerged as a 'category of political articulation', imbued with the pronouncements of Charles Murray (1995) on the underclass, and Amitai Etzioni (1996), on the virtues of Communitarianism and the central assertion that in relation to young people and certain communities, 'rights have exceeded responsibilities'. This body of opinion has proved to be seductive to a government dedicated to joined up solutions in the battle against social exclusion and to the reconfiguration of the welfare state to place the onus for welfare and social provision on to individuals and communities. Those who work with young people and young people themselves may wish to be proactive in asserting the kind of citizenship they require, rights-based, expansive and supportive, rather than accept an imposed version devoid of rights but full to the brim of authoritarian measures, vindictive proposals and narrow horizons. This paper will engender debate and reflection and offer a context of the erosion of young people's rights over the last 20 years, Hartley Dean (1996), and will consider the work of T.H. Marshall (1950) in dividing citizenship into three elements: the civil element, the political element, and the social element. The paper will explore in workshop tradition, strategies and proposals for action relevant to practitioners and academics, such as the reduction in the voting age to 16.

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This study extends previous research into social networking sites (SNSs) as environments that often reduce spatial, temporal, and social boundaries, which can result in collapsed contexts for social situations. Context collapse was investigated through interviews and Facebook walkthroughs with 27 LGBTQ young people in the United Kingdom. Since diverse sexualities are often stigmatized, participants’ sexual identity disclosure decisions were shaped by both the social conditions of their online networks and the technological architecture of SNSs. Context collapse was experienced as an event through which individuals intentionally redefined their sexual identity across audiences or managed unintentional disclosure. To prevent unintentional context collapse, participants frequently reinstated contexts through tailored performances and audience separation. These findings provide insight into stigmatized identity performances in networked publics while situating context collapse within a broader understanding of impression management, which paves the way for future research exploring the identity implications of everyday SNS use.

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This paper addresses the topic of real-time decision making for autonomous city vehicles, i.e. the autonomous vehicles’ ability to make appropriate driving decisions in city road traffic situations. After decomposing the problem into two consecutive decision making stages, and giving a short overview about previous work, the paper explains how Multiple Criteria Decision Making (MCDM) can be used in the process of selecting the most appropriate driving maneuver.

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This thesis addresses the topic of real-time decision making by driverless (autonomous) city vehicles, i.e. their ability to make appropriate driving decisions in non-simplified urban traffic conditions. After addressing the state of research, and explaining the research question, the thesis presents solutions for the subcomponents which are relevant for decision making with respect to information input (World Model), information output (Driving Maneuvers), and the real-time decision making process. TheWorld Model is a software component developed to fulfill the purpose of collecting information from perception and communication subsystems, maintaining an up-to-date view of the vehicle’s environment, and providing the required input information to the Real-Time Decision Making subsystem in a well-defined, and structured way. The real-time decision making process consists of two consecutive stages. While the first decision making stage uses a Petri net to model the safetycritical selection of feasible driving maneuvers, the second stage uses Multiple Criteria Decision Making (MCDM) methods to select the most appropriate driving maneuver, focusing on fulfilling objectives related to efficiency and comfort. The complex task of autonomous driving is subdivided into subtasks, called driving maneuvers, which represent the output (i.e. decision alternatives) of the real-time decision making process. Driving maneuvers are considered as implementations of closed-loop control algorithms, each capable of maneuvering the autonomous vehicle in a specific traffic situation. Experimental tests in both a 3D simulation and real-world experiments attest that the developed approach is suitable to deal with the complexity of real-world urban traffic situations.

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This paper introduces a new method to automate the detection of marine species in aerial imagery using a Machine Learning approach. Our proposed system has at its core, a convolutional neural network. We compare this trainable classifier to a handcrafted classifier based on color features, entropy and shape analysis. Experiments demonstrate that the convolutional neural network outperforms the handcrafted solution. We also introduce a negative training example-selection method for situations where the original training set consists of a collection of labeled images in which the objects of interest (positive examples) have been marked by a bounding box. We show that picking random rectangles from the background is not necessarily the best way to generate useful negative examples with respect to learning.

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Purpose: We examine the interaction between trait resilience and control in predicting coping and performance. Drawing on a person–environment fit perspective, we hypothesized resilient individuals would cope and perform better in demanding work situations when control was high. In contrast, those low in resilience would cope and perform better when control was low. Recognizing the relationship between trait resilience and performance also could be indirect, adaptive coping was examined as a mediating mechanism through which high control enables resilient individuals to demonstrate better performance. Methodology: In Study 1 (N = 78) and Study 2 (N = 94), participants completed a demanding inbox task in which trait resilience was measured and high and low control was manipulated. Study 3 involved surveying 368 employees on their trait resilience, control, and demand at work (at Time 1), and coping and performance 1 month later at Time 2. Findings: For more resilient individuals, high control facilitated problem-focused coping (Study 1, 2, and 3), which was indirectly associated with higher subjective performance (Study 1), mastery (Study 2), adaptive, and proficient performance (Study 3). For more resilient individuals, high control also facilitated positive reappraisal (Study 2 and 3), which was indirectly associated with higher adaptive and proficient performance (Study 3). Implications: Individuals higher in resilience benefit from high control because it enables adaptive coping. Originality/value: This research makes two contributions: (1) an experimental investigation into the interaction of trait resilience and control, and (2) investigation of coping as the mechanism explaining better performance.

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Over the past decades there has been a considerable development in the modeling of car-following (CF) behavior as a result of research undertaken by both traffic engineers and traffic psychologists. While traffic engineers seek to understand the behavior of a traffic stream, traffic psychologists seek to describe the human abilities and errors involved in the driving process. This paper provides a comprehensive review of these two research streams. It is necessary to consider human-factors in {CF} modeling for a more realistic representation of {CF} behavior in complex driving situations (for example, in traffic breakdowns, crash-prone situations, and adverse weather conditions) to improve traffic safety and to better understand widely-reported puzzling traffic flow phenomena, such as capacity drop, stop-and-go oscillations, and traffic hysteresis. While there are some excellent reviews of {CF} models available in the literature, none of these specifically focuses on the human factors in these models. This paper addresses this gap by reviewing the available literature with a specific focus on the latest advances in car-following models from both the engineering and human behavior points of view. In so doing, it analyses the benefits and limitations of various models and highlights future research needs in the area.

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BACKGROUND: Over the past 10 years, the use of saliva as a diagnostic fluid has gained attention and has become a translational research success story. Some of the current nanotechnologies have been demonstrated to have the analytical sensitivity required for the use of saliva as a diagnostic medium to detect and predict disease progression. However, these technologies have not yet been integrated into current clinical practice and work flow. CONTENT: As a diagnostic fluid, saliva offers advantages over serum because it can be collected noninvasively by individuals with modest training, and it offers a cost-effective approach for the screening of large populations. Gland-specific saliva can also be used for diagnosis of pathology specific to one of the major salivary glands. There is minimal risk of contracting infections during saliva collection, and saliva can be used in clinically challenging situations, such as obtaining samples from children or handicapped or anxious patients, in whom blood sampling could be a difficult act to perform. In this review we highlight the production of and secretion of saliva, the salivary proteome, transportation of biomolecules from blood capillaries to salivary glands, and the diagnostic potential of saliva for use in detection of cardiovascular disease and oral and breast cancers. We also highlight the barriers to application of saliva testing and its advancement in clinical settings. SUMMARY: Saliva has the potential to become a first-line diagnostic sample of choice owing to the advancements in detection technologies coupled with combinations of biomolecules with clinical relevance. (C) 2011 American Association for Clinical Chemistry

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Over the past 10 years, the use of saliva as a diagnostic fluid has gained attention and has become a translational research success story. Some of the current nanotechnologies have been demonstrated to have the analytical sensitivity required for the use of saliva as a diagnostic medium to detect and predict disease progression. However, these technologies have not yet been integrated into current clinical practice and work flow. As a diagnostic fluid, saliva offers advantages over serum because it can be collected noninvasively by individuals with modest training, and it offers a cost-effective approach for the screening of large populations. Gland-specific saliva can also be used for diagnosis of pathology specific to one of the major salivary glands. There is minimal risk of contracting infections during saliva collection, and saliva can be used in clinically challenging situations, such as obtaining samples from children or handicapped or anxious patients, in whom blood sampling could be a difficult act to perform. In this review we highlight the production of and secretion of saliva, the salivary proteome, transportation of biomolecules from blood capillaries to salivary glands, and the diagnostic potential of saliva for use in detection of cardiovascular disease and oral and breast cancers. We also highlight the barriers to application of saliva testing and its advancement in clinical settings. Saliva has the potential to become a first-line diagnostic sample of choice owing to the advancements in detection technologies coupled with combinations of biomolecules with clinical relevance.