956 resultados para Unit Commitment Problem
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Science, technology, engineering, and mathematics (STEM) education is an emerging initiative in Australia, particularly in primary schools. This qualitative research aimed to understand Year 4 students' involvement in an integrated STEM education unit that focused on science concepts (e.g., states of matter, testing properties of materials) and mathematics concepts (e.g., 3D shapes and metric measurements) for designing, making and testing a strong and safe medical kit to insulate medicines (ice cubes) at desirable temperatures. Data collection tools included student work samples, photographs, written responses from students and the teacher, and researcher notes. In a post-hoc analysis, a pedagogical knowledge practice framework (i.e., planning, timetabling, preparation, teaching strategies, content knowledge, problem solving, classroom management, questioning, implementation, assessment, and viewpoints) was used to explain links to student outcomes in STEM education. The study showed how pedagogical knowledge practices may be linked to student outcomes (knowledge, understanding, skill development, and values and attitudes) for a STEM education activity.
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Trade union membership, both in aggregate numbers and in density, has declined in the majority of advanced economies globally over recent decades (Blanchflower, 2007). In Australia, the decline in the 1990s was somewhat more precipitate than in most countries (Peetz, 1998). As discussed in Chapter 1, reasons for the decline are multifactorial, including a more hostile environment to unionism created by employers and the state, difficulties ·with workplace union organisation, and structural change in the economy (Bryson and Gomez, 2005; Bryson et a!., 2011; Ebbinghaus et al., 2011; Payne, 1989; Waddington and Kerr, 2002; Waddington and Whitson, 1997). Our purpose in this chapter is to look beyond aggregate Australian union density data, to examine how age relates to membership decline, and how different age groups, particularly younger workers, are located in the story of union decline. The practical implications of this research are that understanding how unions relate to workers of different age groups, and to workers of different genders amongst those age groups, may lead to improved recruitment and better union organisation.
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This paper outlines the results from a study into the educational use of the board game Monopoly City™ in a first year real estate unit. This game play was introduced as a fun and interactive way of achieving a number of desired outcomes including: introduction of foundational threshold concepts in real estate education; introduction of problem solving and critical analysis skills; early acculturation of real estate students to enhance student retention; early team building within the student cohort; and enhanced engagement of first year students and, all in an engaging and entertaining way. Results from this two-stage research project are encouraging. The students participating in this project have demonstrated explicit linkages between their Monopoly City™ experiences and foundation urban economic and valuation theories. Students are also recognising the role strategy and chance play in the real estate sector. Findings from this project and key success factors are presented.
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Nursing students used GoSoapBox, a web-based student response system to poll responses to multiple choice questions (MCQs) presented during bioscience lectures. Participation in GoSoapBox appears to have facilitated student engagement, interaction and learning. The majority of students surveyed appreciated the immediate feedback to the student responses and being able to participate anonymously. The use of this tool facilitated collaborative group and class discussion and clarification around any misconceptions or challenging concepts. Information collected using GoSoapBox provided the academic with feedback allowing for reflection, adjustment and improvement in framing of formative and summative MCQs.
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First year nursing students commonly find bioscience to be challenging. A Facebook community site was established to support and engage these students. The site was facilitated by virtual peer mentors and the unit coordinator. The high participation rate and the strong recommendation to future students indicated that the site successfully enabled student interaction and engagement with their learning. The students found it to be a readily accessible network and valued the useful resources and learning strategies provided by their peers. The sharing of both learning challenges and successful learning practices can help students build a sense of belonging and an understanding of academic practices and behaviours that can contribute to their learning success at university.
Resumo:
Nursing students used GoSoapBox, a web-based student response system to poll responses to multiple choice questions (MCQs) presented during bioscience lectures. Participation in GoSoapBox appears to have facilitated student engagement, interaction and learning. The majority of students surveyed appreciated the immediate feedback to the student responses and being able to participate anonymously. The use of this tool facilitated collaborative group and class discussion and clarification around any misconceptions or challenging concepts. Information collected using GoSoapBox provided the academic with feedback allowing for reflection, adjustment and improvement in framing of formative and summative MCQs.
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Purpose A Psychiatric Intensive Care Unit (PICU) and or High Dependency Unit (HDU) is a locked, intensive treatment facility available to people experiencing acute psychiatric distress. For many people who access public mental health services in Australia, the PICU/HDU is the primary point of admission, and should represent and facilitate timely assessment and an optimum treatment plan under a recovery framework. Nurses are the largest health discipline working in this specialty area of care. The paper aims to discuss these issues. Design/methodology/approach A qualitative study aimed to investigate the skills, experience, and practice, of nurses working in the PICU/HDU in relation to a recovery model of care. Identifying how nurses provide care in the PICU/HDU will inform a clinical practice guideline to further support this specialty area of care. Four focus groups were facilitated with 52 registered nurses attending. Findings The nurse participants identified specific skills under four distinct themes; Storytelling, Treatment and recovery, Taking responsibility, and Safeguarding. The skills highlight the expertise and clinical standard required to support a recovery model of care in the PICU. Research limitations/implications – The research findings highlight urgency for a National PICU/HDU clinical practice guideline. Practical implications A PICU/HDU practice guideline will promote the standard of nursing care required in the PICU/HDU. The PICU/HDU needs to be recognised as a patient centred, therapeutic opportunity as opposed to a restrictive and custodial clinical area. Social implications Providing transparency of practice in the PICU/HDU and educating nurses to this specialty area of care will improve client outcome and recovery. Originality/value Very few studies have explored the skills, experience, and practice, of nurses working in the PICU/HDU in relation to a recovery model of care. A dearth of research exists on what is required to work in this specialty area of care.
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Background Internationally the stroke unit is recognised as the evidence-based model for patient management, although clarity about the effective components of stroke units is lacking. Whilst skilled nursing care has been proposed as one component, the theoretical and empirical basis for stroke nursing is limited. We attempted to explore the organisational context of stroke unit nursing, to determine those features that staff perceived to be important in facilitating high quality care. Design A case study approach was used, that included interviews with nurses and members of the multidisciplinary teams in two Canadian acute stroke units. A total of 20 interviews were completed, transcribed and analysed thematically using the Framework Approach. Trustworthiness was established through the review of themes and their interpretation by members of the stroke units. Findings Nine themes that comprised an organisational context that supported the delivery of high quality nursing care in acute stroke units were identified, and provide a framework for organisational development. The study highlighted the importance of an overarching service model to guide the organisation of care and the development of specialist and advanced nursing roles. Whilst multidisciplinary working appears to be a key component of stroke unit nursing, various organisational challenges to its successful implementation were highlighted. In particular the consequence of differences in the therapeutic approach of nurses and therapy staff needs to be explored in greater depth. Successful teamwork appears to depend on opportunities for the development of relationships between team members as much as the use of formal communication systems and structures. A co-ordinated approach to education and training, clinical leadership, a commitment to research, and opportunities for role and practice development also appear to be key organisational features of stroke unit nursing. Recommendations for the development of stroke nursing leadership and future research into teamwork in stroke settings are made.
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Background and Purpose Randomized trials have demonstrated reduced morbidity and mortality with stroke unit care; however, the effect on length of stay, and hence the economic benefit, is less well-defined. In 2001, a multidisciplinary stroke unit was opened at our institution. We observed whether a stroke unit reduces length of stay and in-hospital case fatality when compared to admission to a general neurology/medical ward. Methods A retrospective study of 2 cohorts in the Foothills Medical Center in Calgary was conducted using administrative databases. We compared a cohort of stroke patients managed on general neurology/medical wards before 2001, with a similar cohort of stroke patients managed on a stroke unit after 2003. The length of stay was dichotomized after being centered to 7 days and the Charlson Index was dichotomized for analysis. Multivariable logistic regression was used to compare the length of stay and case fatality in 2 cohorts, adjusted for age, gender, and patient comorbid conditions defined by the Charlson Index. Results Average length of stay for patients on a stroke unit (n=2461) was 15 days vs 19 days for patients managed on general neurology/medical wards (n=1567). The proportion of patients with length of stay >7 days on general neurology/medical wards was 53.8% vs 44.4% on the stroke unit (difference 9.4%; P<0.0001). The adjusted odds of a length of stay >7 days was reduced by 30% (P<0.0001) on a stroke unit compared to general neurology/medical wards. Overall in-hospital case fatality was reduced by 4.5% with stroke unit care. Conclusions We observed a reduced length of stay and reduced in-hospital case-fatality in a stroke unit compared to general neurology/medical wards.
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Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method based on the social behaviors of birds flocking or fish schooling. Although, PSO is represented in solving many well-known numerical test problems, but it suffers from the premature convergence. A number of basic variations have been developed due to solve the premature convergence problem and improve quality of solution founded by the PSO. This study presents a comprehensive survey of the various PSO-based algorithms. As part of this survey, the authors have included a classification of the approaches and they have identify the main features of each proposal. In the last part of the study, some of the topics within this field that are considered as promising areas of future research are listed.
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Index tracking is an investment approach where the primary objective is to keep portfolio return as close as possible to a target index without purchasing all index components. The main purpose is to minimize the tracking error between the returns of the selected portfolio and a benchmark. In this paper, quadratic as well as linear models are presented for minimizing the tracking error. The uncertainty is considered in the input data using a tractable robust framework that controls the level of conservatism while maintaining linearity. The linearity of the proposed robust optimization models allows a simple implementation of an ordinary optimization software package to find the optimal robust solution. The proposed model of this paper employs Morgan Stanley Capital International Index as the target index and the results are reported for six national indices including Japan, the USA, the UK, Germany, Switzerland and France. The performance of the proposed models is evaluated using several financial criteria e.g. information ratio, market ratio, Sharpe ratio and Treynor ratio. The preliminary results demonstrate that the proposed model lowers the amount of tracking error while raising values of portfolio performance measures.
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Lattice-based cryptographic primitives are believed to offer resilience against attacks by quantum computers. We demonstrate the practicality of post-quantum key exchange by constructing cipher suites for the Transport Layer Security (TLS) protocol that provide key exchange based on the ring learning with errors (R-LWE) problem, we accompany these cipher suites with a rigorous proof of security. Our approach ties lattice-based key exchange together with traditional authentication using RSA or elliptic curve digital signatures: the post-quantum key exchange provides forward secrecy against future quantum attackers, while authentication can be provided using RSA keys that are issued by today's commercial certificate authorities, smoothing the path to adoption. Our cryptographically secure implementation, aimed at the 128-bit security level, reveals that the performance price when switching from non-quantum-safe key exchange is not too high. With our R-LWE cipher suites integrated into the Open SSL library and using the Apache web server on a 2-core desktop computer, we could serve 506 RLWE-ECDSA-AES128-GCM-SHA256 HTTPS connections per second for a 10 KiB payload. Compared to elliptic curve Diffie-Hellman, this means an 8 KiB increased handshake size and a reduction in throughput of only 21%. This demonstrates that provably secure post-quantum key-exchange can already be considered practical.
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Capstone units in higher education courses are learning experiences which are designed to bring reflection and focus to a whole course of study while, at the same time, leading students toward their entry into a new world of work (Humphrey, Brown, & Benson, 2005). The capstone experience described in this paper runs as a conference, called the Stepping Out Conference. The conference is delivered as one unit and is mandatory for all fourth year pre-service teachers. Participation in a capstone unit is an effective way for students to begin thinking of themselves as teaching professionals rather than as continuing students. Students engage in the assessment as part of their capstone experience. The assessment is designed to measure students’ knowledge and skills as they relate to ‘authentic’ real life situations (Darling-Hammond, 1991). This paper details pre-service teachers’ experiences of authentic learning through their participation in a capstone unit.
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Background At Queensland University of Technology (QUT), the Bachelor of Radiation Therapy course evaluation has previously suffered from low online survey participation rates. A communal instantaneous feedback event using an audience response system (ARS) was evaluated as a potential solution to this problem. The aims of the project were to determine the extent to which this feedback event could be facilitated by ARS technology and to evaluate the impact the technology made on student satisfaction and engagement. Methods Students were invited to a timetabled session to provide feedback on individual study units and the course overall. They provided quantitative Likert-style responses to prompts for each unit and the course using an ARS as well as anonymous typed qualitative comments. Data collection was performed live so students were able to view collective class responses. This prompted further discussion and enabled a prospective action plan to be developed. To inform future ARS use, students were asked for their opinions on the feedback method. Results Despite technological difficulties, student evaluation indicated that all responders enjoyed the session and the opportunity to view the combined responses. All students felt that useful feedback was generated and that this method should be used in the future. The student attendance and response rates were high, and it was clear that the session had led to the development of some insightful qualitative feedback comments. Conclusions: An ARS contributed well to the collection of course feedback in a communal and interactive environment. Students found it enjoyable to use, and it helped to stimulate useful qualitative comments
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In the past few years, the virtual machine (VM) placement problem has been studied intensively and many algorithms for the VM placement problem have been proposed. However, those proposed VM placement algorithms have not been widely used in today's cloud data centers as they do not consider the migration cost from current VM placement to the new optimal VM placement. As a result, the gain from optimizing VM placement may be less than the loss of the migration cost from current VM placement to the new VM placement. To address this issue, this paper presents a penalty-based genetic algorithm (GA) for the VM placement problem that considers the migration cost in addition to the energy-consumption of the new VM placement and the total inter-VM traffic flow in the new VM placement. The GA has been implemented and evaluated by experiments, and the experimental results show that the GA outperforms two well known algorithms for the VM placement problem.