267 resultados para Complicated grief
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The roles and responsibilities of school leaders in most countries across the world have become more complex and challenging in recent years. In large part, this complexity has resulted from the discontinuously changing contexts and day-to-day dynamics within which principals lead their schools. Indeed, principals are now faced with having to make a plethora of decisions in an environment of competing priorities, and with consideration for the interests of students, teachers, parents and the school and wider community. Many of these decisions present as dilemmas for school leaders, where the choices for action often involve not just choosing from ‘right’ versus ‘wrong’ alternatives but also frequently from ‘right’ versus ‘right’ alternatives (Kidder, 1995). Underlying many such decisions are issues of values, principles and ethics. Dilemmas of an ethical nature arise such that principals enter a complicated ‘minefield’ of decision-making (Dempster & Berry, 2003) where significant implications results not only for those at the core of the particular decisions but also potentially for the wider school community and beyond.
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Industries demand a closer alignment of university learning curriculum to real work tasks to better meet the needs of organizations and learners. Both, industries and learners prefer the learning challenges to be based on the exigencies of work to precisely reflect real work circumstances that overtly add to business outcomes. However, such alignment is often complicated and challenging for academics and workplace managers alike. It demands partnerships between universities and industries, similar to arrangements forged for the vocational education and training sector. Such partnerships should allow active participation by learners, academics, workplaces and university administrators to move beyond a teaching orientation to a demonstrably effective learning arrangement through work integrated learning. This paper draws on a case study that negotiated a partnership between a non-government organization and an Australian university to design and facilitate a boutique curriculum that met the needs of learners and their workplace. Data were collected from interviews with participants, a focus group of the interviewees, and feedback from university staff involved in the course delivery. The paper presents a set of principles for universities and industries for partnership to enhance the alignment of academic curriculum to meet organizational and individual learning needs through work integrated learning.
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Objectives: As our knowledge about the experiences of grandparents when their grandchild has a disability is extremely limited, the purpose of this research was to explore the emotional journey of Australian grandparents. Method: This qualitative research utilised purposive sampling and semi-structured in-depth interviews to explore the experiences of 22 Australian grandparents, whose grandchild had been diagnosed with a disability. Results: Three key themes characterised grandparent’s emotional journey: Adjusting (the transition from anger to acceptance), The ‘Double Grief’ (sadness about what might have been for both their child and grandchild) and Pride in Family (pride in family’s ability to adjust to the challenges of the situation). Conclusion: As the first Australian study to explore the experiences of grandparents when their grandchild has a disability, the research provides important new knowledge about the emotional journey for grandparents. Unlike overseas research, Australian grandparents view themselves as being there to support their own children, rather than ‘holding the family together’. The findings will inform current policy debates about the role of grandparents and highlight the importance of support services that help facilitate grandparent’s role within their family
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Objective: The study investigated previous research findings and clinical impressions which indicated that the intensity of grief for parents who had lost a child was likely to be higher than that for widows/widowers, who in turn were likely to have more intense reactions than adult children losing a parent. Method: In order to compare the intensities of the bereavement reactions among representative community samples of bereaved spouses (n = 44), adult children (n = 40) and parents (n = 36), and to follow the course of such phenomena, a detailed Bereavement Questionnaire was administered at four time points over a 13-month period following the loss. Results: Measures based on items central to the construct of bereavement showed significant time and group differences in accordance with the proposed hypothesis. More global items associated with the construct of resolution showed a significant time effect, but without significant group differences. Conclusions: Evidence from this study supports the hypothesis that in non-clinical, community-based populations the frequency with which core bereavement phenomena are experienced is in the order: bereaved parents bereaved spouses bereaved adult children.
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This paper reports on part of a study which was aimed at assessing the views of leading researchers, theorists or clinicians working in the field of bereavement on key issues including, as reported here, concepts of different forms of grief as well as favoured theoretical orientations. Of a range of conceptual models the most favoured, by a large margin, were attachment theory and the psychodynamic model. The views of the “experts’ were canvassed with respect to the use of seven selected terms used to denote some variant of the grieving process. There was, on the part of the respondents, reasonable support for the syndromes of “delayed’, “chronic’, “anticipatory’ and “absent’ grief. “Inhibited’ and “unresolved’ grief tended to be described using one of the four terms already supported, while the use of the term “distorted grief’ attracted little support.
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Decision Support System (DSS) has played a significant role in construction project management. This has been proven that a lot of DSS systems have been implemented throughout the whole construction project life cycle. However, most research only concentrated in model development and left few fundamental aspects in Information System development. As a result, the output of researches are complicated to be adopted by lay person particularly those whom come from a non-technical background. Hence, a DSS should hide the abstraction and complexity of DSS models by providing a more useful system which incorporated user oriented system. To demonstrate a desirable architecture of DSS particularly in public sector planning, we aim to propose a generic DSS framework for consultant selection. It will focus on the engagement of engineering consultant for irrigation and drainage infrastructure. The DSS framework comprise from operational decision to strategic decision level. The expected result of the research will provide a robust framework of DSS for consultant selection. In addition, the paper also discussed other issues that related to the existing DSS framework by integrating enabling technologies from computing. This paper is based on the preliminary case study conducted via literature review and archival documents at Department of Irrigation and Drainage (DID) Malaysia. The paper will directly affect to the enhancement of consultant pre-qualification assessment and selection tools. By the introduction of DSS in this area, the selection process will be more efficient in time, intuitively aided qualitative judgment, and transparent decision through aggregation of decision among stakeholders.
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Healthcare-associated methicillin-resistant Staphylococcus aureus(MRSA) infection may cause increased hospital stay or, sometimes, death. Quantifying this effect is complicated because it is a time-dependent exposure: infection may prolong hospital stay, while longer stays increase the risk of infection. We overcome these problems by using a multinomial longitudinal model for estimating the daily probability of death and discharge. We then extend the basic model to estimate how the effect of MRSA infection varies over time, and to quantify the number of excess ICU days due to infection. We find that infection decreases the relative risk of discharge (relative risk ratio = 0.68, 95% credible interval: 0.54, 0.82), but is only indirectly associated with increased mortality. An infection on the first day of admission resulted in a mean extra stay of 0.3 days (95% CI: 0.1, 0.5) for a patient with an APACHE II score of 10, and 1.2 days (95% CI: 0.5, 2.0) for a patient with an APACHE II score of 30. The decrease in the relative risk of discharge remained fairly constant with day of MRSA infection, but was slightly stronger closer to the start of infection. These results confirm the importance of MRSA infection in increasing ICU stay, but suggest that previous work may have systematically overestimated the effect size.
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Most infrastructure projects share the same characteristics in term of management aspects and shortcomings. Human factor is believed to be the major drawbacks due to the nature of unstructured problems which can further contribute to management conflicts. This growing complexity in infrastructure projects has shift the paradigm of policy makers to adopt Information Communication Technology (ICT) as a driving force. For this reason, it is vital to fully maximise and utilise the recent technologies to accelerate management process particularly in planning phase. Therefore, a lot of tools have been developed to assist decision making in construction project management. The variety of uncertainties and alternatives in decision making can be entertained by using useful tool such as Decision Support System (DSS). However, the recent trend shows that most DSS in this area only concentrated in model development and left few fundamentals of computing. Thus, most of them were found complicated and less efficient to support decision making within project team members. Due to the current incapability of many software aspects, it is desirable for DSS to provide more simplicity, better collaborative platform, efficient data manipulation and reflection to user needs. By considering these factors, the paper illustrates four challenges for future DSS development i.e. requirement engineering, communication framework, data management and interoperability, and software usability
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This paper looks at the challenges presented for the Australian Library and Information Association by its role as the professional association responsible for ensuring the quality of Australian library technician graduates. There is a particular focus on the issue of course recognition, where the Association's role is complicated by the need to work alongside the national quality assurance processes that have been established by the relevant technical education authorities. The paper describes the history of course recognition in Australia; examines the relationship between course recognition and other quality measures; and describes the process the Association has undertaken recently to ensure appropriate professional scrutiny in a changing environment of accountability.
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This review explores the question whether chemometrics methods enhance the performance of electroanalytical methods. Electroanalysis has long benefited from the well-established techniques such as potentiometric titrations, polarography and voltammetry, and the more novel ones such as electronic tongues and noses, which have enlarged the scope of applications. The electroanalytical methods have been improved with the application of chemometrics for simultaneous quantitative prediction of analytes or qualitative resolution of complex overlapping responses. Typical methods include partial least squares (PLS), artificial neural networks (ANNs), and multiple curve resolution methods (MCR-ALS, N-PLS and PARAFAC). This review aims to provide the practising analyst with a broad guide to electroanalytical applications supported by chemometrics. In this context, after a general consideration of the use of a number of electroanalytical techniques with the aid of chemometrics methods, several overviews follow with each one focusing on an important field of application such as food, pharmaceuticals, pesticides and the environment. The growth of chemometrics in conjunction with electronic tongue and nose sensors is highlighted, and this is followed by an overview of the use of chemometrics for the resolution of complicated profiles for qualitative identification of analytes, especially with the use of the MCR-ALS methodology. Finally, the performance of electroanalytical methods is compared with that of some spectrophotometric procedures on the basis of figures-of-merit. This showed that electroanalytical methods can perform as well as the spectrophotometric ones. PLS-1 appears to be the method of practical choice if the %relative prediction error of not, vert, similar±10% is acceptable.
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This paper discusses two different approaches to teaching design and their modes of delivery and reflects upon their successes and failures. Two small groups of third year design students have been given projects focussing on incorporation of daylighting to architectural design in studios having different design themes. In association with the curriculum, the themes were Digital Tools and Sustainability. Although both studios had the topic of daylighting, the aim and methodology used were different. Digital Tool studio’s aim was to teach how to design daylighting by using a digital tool, where as, Sustainability studio aimed at using scale modelling as a tool to learn about daylighting and integrating it into design. Positive results for providing student learning success within the University context were the students’ chance to learn and practice some new skills –using a new tool for designing; integration of the tutors’ extensive research expertise to their teaching practice; and the students’ construction of their own understanding of knowledge in a student-centred educational environment. This environment created a very positive attitude in the form of exchanging ideas and collaboration among the students of Digital Tools students at the discussion forum. Sustainability group students were enthusiastic about designing and testing various proposals. Problems that both studios experienced were mainly related to timing. Synchronizing with other groups of their studios and learning of a new skill on top of an already complicated process of design learning were the setbacks.
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This paper explores how visibly non-heteronormative bodies mediate policing experiences of LGBT (lesbian, gay, bisexual, transgender) young people, an area that has been mostly ignored in research about policing young people. Informed by interviews with 35 LGBT young people in Brisbane, Queensland, this paper addresses this gap by exploring how the non-heteronormative body mediates policing experiences of LGBT young people. Drawing on Foucault (1984), Butler (1990a), and other queer theory, the paper argues young non-heteronormative bodies visibly perform ‘queerness’, are read by police, and shape police-LGBT youth interactions. While this is complicated by looking at-risk (in terms of risk factors like homelessness, substance abuse), and looking risky (in terms of risk-taking or criminalised activities), the paper concludes noting how youthful LGBT bodies are regulated by police as non-heteronormative and deviant.
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The selection criteria for contractor pre-qualification are characterized by the co-existence of both quantitative and qualitative data. The qualitative data is non-linear, uncertain and imprecise. An ideal decision support system for contractor pre-qualification should have the ability of handling both quantitative and qualitative data, and of mapping the complicated nonlinear relationship of the selection criteria, such that rational and consistent decisions can be made. In this research paper, an artificial neural network model was developed to assist public clients identifying suitable contractors for tendering. The pre-qualification criteria (variables) were identified for the model. One hundred and twelve real pre-qualification cases were collected from civil engineering projects in Hong Kong, and eighty-eight hypothetical pre-qualification cases were also generated according to the “If-then” rules used by professionals in the pre-qualification process. The results of the analysis totally comply with current practice (public developers in Hong Kong). Each pre-qualification case consisted of input ratings for candidate contractors’ attributes and their corresponding pre-qualification decisions. The training of the neural network model was accomplished by using the developed program, in which a conjugate gradient descent algorithm was incorporated for improving the learning performance of the network. Cross-validation was applied to estimate the generalization errors based on the “re-sampling” of training pairs. The case studies show that the artificial neural network model is suitable for mapping the complicated nonlinear relationship between contractors’ attributes and their corresponding pre-qualification (disqualification) decisions. The artificial neural network model can be concluded as an ideal alternative for performing the contractor pre-qualification task.
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How social class factors into linguistic practices and use, language change and loss has been a major theme in postwar sociolinguistics and ethnography of communication, language planning and sociology of language. Key foci of linguistic and sociological research include the study of social class in everyday language use, media and institutional texts. A further concern is to understand the relationship between social class stratification, intergenerational social reproduction, and language variation. Bourdieu’s model of linguistic habitus and cultural capital offers a broad theoretical template for examining these relations, even as they are complicated by forces of economic and cultural globalization, new media and identity formations.
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The ICU is an integral part of any hospital and is under great load from patient arrivals as well as resource limitations. Scheduling of patients in the ICU is complicated by the two general types; elective surgery and emergency arrivals. This complicated situation is handled by creating a tentative initial schedule and then reacting to uncertain arrivals as they occur. For most hospitals there is little or no flexibility in the number of beds that are available for use now or in the future. We propose an integer programming model to handle a parallel machine reacting system for scheduled and unscheduled arrivals.