117 resultados para Literature Review


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This paper identifies novel approaches to future small and medium enterprise (SME) research from a review of articles, and then introduces the papers in this AJIS special section which evidence these approaches. More specifically, the paper makes an important contribution by reviewing 61 articles in high ranked IS journals (2000-2014) and introducing three new facets which are used to analyse research on SME adoption/use of IS (units of analysis, SME sizes and SME types) not considered in previous literature review studies. These facets provide thebasis for proposing various future research opportunities. The editorial then introduces the four papers in this special section covering the research theme on SMEs, and highlights the contributions they make using the three facets.

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Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.

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A range of important early-life predictors of later obesity have been identified. Children of lower socioeconomic position (SEP) have a steeper weight gain trajectory from birth with a strong socioeconomic gradient in child and adult obesity prevalence. An assessment of the association between SEP and the early-life predictors of obesity has been lacking. The review involved a two-stage process: Part 1, using previously published systematic reviews, we developed a list of the potentially modifiable determinants of obesity observable in the pre-natal, peri-natal or post-natal (pre-school) periods; and part 2, conducting a literature review of evidence for socioeconomic patterning in the determinants identified in part 1. Strong evidence was found for an inverse relationship between SEP and (1) pre-natal risk factors (pre-pregnancy maternal body mass index (BMI), diabetes and pre-pregnancy diet), (2) antenatal/peri natal risk factors (smoking during pregnancy and low birth weight) and (3) early-life nutrition (including breastfeeding initiation and duration, early introduction of solids, maternal and infant diet quality, and some aspects of the home food environment), and television viewing in young children. Less strong evidence (because of a lack of studies for some factors) was found for paternal BMI, maternal weight gain during pregnancy, child sleep duration, high birth weight and lack of physical activity in young children. A strong socioeconomic gradient exists for the majority of the early-life predictors of obesity suggesting that the die is cast very early in life (even pre-conception). Lifestyle interventions targeting disadvantaged women at or before child-bearing age may therefore be particularly important in reducing inequality. Given the likely challenges of reaching this target population, it may be that during pregnancy and their child's early years are more feasible windows for engagement.

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© 2015 Australian Psychological Society. Objective: The use of self-practice and self-reflection has been proposed as an efficacious strategy in the training of therapists. It has been argued to enhance therapist skills, and a key factor in the development of expertise. This systematic literature review investigated the effect of self-practice and self-reflection on therapist skills development. Method: Studies were identified through Medline, Academic Search Complete, PsychINFO, PsycARTICLES, Proquest, ISI, CINAHL, Cochrane, and Scopus databases. Additional studies were identified through lateral searches of relevant papers' reference lists and direct correspondence with authors of unpublished material. The selection criteria were studies that investigated the effect of self-practice and/or self-reflection on therapist skill development. There was no restriction on sample sizes, design of studies, dates of publication, or peer-reviewed papers. All studies were published in English. Results: Ten studies were included in this review. A thematic analysis was undertaken to analyse qualitative data. Due to inconsistency in the variables investigated across the quantitative studies, quantitative results were not subject to a meta-analysis but simply reported. Finally, qualitative and quantitative data were juxtaposed in a meta-synthesis. Conclusion: The meta-synthesis revealed inconsistencies between the qualitative and quantitative literature and a gap in relation to declarative knowledge. Methodological limitations across studies are discussed and recommendations for future research provided.

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Underwater robotics is a growing field in which more research is required. A literature review has been conducted on underwater robotics, focusing on the swarm problem with this type of robotics to help overcome this gap. Consensus control of robotic swarms is focused on, with a brief description of formation control and how it can be applied in the underwater setting. The basic concepts behind Particle Swarm Optimization, Ant Colony Optimization, Bees Algorithm and Heterogeneous Swarms has also been presented. The problems that are associated with communicating underwater are shown, with some possible solutions to this problem also being presented. Possible future work is described to conclude the paper.

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This paper draws on the findings of a recent and extensive literature review to examine the efficacy of pull-out education programs (alternative programs) in schools in relation to student learning, well-being, and pathways. It synthesises the research on alternative education programs and their contribution to student outcomes using three main conceptual categories: how sustainable these programs are their stickability; how effective these programs are in achieving their stated purpose of improving and enhancing vulnerable students’ learning, well-being, and pathways, their transformability; and how these programs may be used successfully in other locations and contexts— their transmittability. It concludes with recommendations for future practice, suggesting that school systems should prioritise prevention and early intervention in providing support to vulnerable students in ways that take account of students’ own reasons for why they are disengaged from schooling.

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Natural hazards are complex events whose mitigation has generated a diverse field of specialised natural science expertise that is drawn upon by a wide range of practitioners and decision-makers. In this paper, the authors bring natural science research, risk studies and science and technology studies together in aid of clarifying the role scientific uncertainties play in the mitigation of natural hazards and their associated risks. Given that uncertainty is a necessary part of scientific practise and method, those engaged in risk mitigation must manage these scientific uncertainties in their decision-making just as, equally, social science researchers, stakeholders and others hoping to understand risk mitigation must understand their character and influence. To this end, the authors present the results of an extensive literature review of scientific uncertainties as they emerge in relation to wildfire and flood risk mitigation in Australia. The results are both a survey of these major uncertainties and a novel categorisation within which a variety of expert and non-expert audiences might discuss and translate the scientific uncertainties that are encountered and managed in risk mitigation.

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AIM: To conduct an integrative review on how nurses prepare families for and support families during withdrawal of life-sustaining treatments in intensive care.

BACKGROUND: End-of-life care is widely acknowledged as integral to the practice of intensive care. However, little is known about what happens after the decision to withdraw life-sustaining treatments has been made and how families are prepared for death and the dying process.

DESIGN: Integrative literature review.

DATA SOURCES: MEDLINE, CINAHL Plus, PsychINFO, PUBMED, Scopus, EMBASE and Web of Knowledge were searched for papers published between 2000 - May 2015.

REVIEW METHODS: A five stage review process, informed by Whittemore and Knafl's methodology was conducted. All papers were reviewed and quality assessment performed. Data were extracted, organised and analysed. Convergent qualitative thematic synthesis was used.

RESULTS: From an identified 479 papers, 24 papers were included in this review with a range of research approaches: qualitative (n=15); quantitative (n=4); mixed methods (n=2); case study (n=2); and discourse analysis (n=1). Thematic analysis revealed the nurses: equipped families for end of life through information provision and communication; managed the withdrawal of life-sustaining treatments to meet family need; and continued care to build memories.

CONCLUSION: Greater understanding is needed of the language that can be used with families to describe death and dying in intensive care. Clearer conceptualisation of the relationship between the medically focussed withdrawal of life-sustaining treatments and patient/family centred end-of-life care is required making the nursing contribution at this time more visible.

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UNLABELLED: The first year of practice as a nurse is recognized as stressful. Graduate nurses (GNs) report gaps in their education, reality shock, burnout and other negative experiences that influence their intentions to remain in nursing. OBJECTIVES: The aim of this literature review was to gain a greater understanding of the experiences of GNs. REVIEW METHODS: It included thirty-six articles that focused on GNs and their transition to nursing, as part of a graduate nurse program (GNP), from 2005 to present. RESULT: The review identified three main themes that influence the transition from student to registered nurse. These themes included, 1) feeling stressed and overwhelmed by nursing responsibilities, 2) the amount of support from senior nurses and 3) the importance of feedback on their performance as nurses. CONCLUSIONS: Further research that is focused on the support and feedback provided to new nurses is needed.

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Scenario exercises have become instrumental across multiple fields, from their original usage in business and military planning, to being ubiquitous in environmental planning and policy formation. This article critically reviews whether there are explicit and imminent divisions between how scenario exercises are used and discussed, with particular focus on the literature of qualitative scenarios concerning environmental challenges. The authors interrogate what scenario exercises are in actual practice, in the context of what they are used for and how they are designed, before then considering the criteria for determining ‘success’ for a scenario exercise. The particular focus of the literature analysed is in the emergence of the discipline of ‘environmental scenarios’, being scenarios concerned with 21st Century environmental challenges such as the influence of climate change on the notion of natural hazards.

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OBJECTIVE: While there have been several reviews exploring the outcomes of various eHealth studies, none have been gastroenterology-specific. This paper aims to evaluate the research conducted within gastroenterology which utilizes internet-based eHealth technology to promote physical and psychological well-being. MATERIAL AND METHODS: A systematic literature review of internet-based eHealth interventions involving gastroenterological cohorts was conducted. Searched databases included: EbSCOhost Medline, CINAHL, and PsycINFO. Inclusion criteria were studies reporting on eHealth interventions (both to manage mental health problems and somatic symptoms) in gastroenterology, with no time restrictions. Exclusion criteria were non-experimental studies, or studies using only email as primary eHealth method, and studies in language other than English. RESULTS: A total of 17 papers were identified; seven studies evaluated the efficacy of a psychologically oriented intervention (additional two provided follow-up analyses exploring the original published data) and eight studies evaluated disease management programs for patients with either irritable bowel syndrome, inflammatory bowel disease (IBD) or celiac disease. Overall, psychological eHealth interventions were associated with significant reductions in bowel symptoms and improvement in quality of life (QoL) that tended to continue up to 12 months follow up. The eHealth disease management was shown to generally improve QoL, adherence, knowledge about the disease, and reduce healthcare costs in IBD, although the studies were associated with various methodological problems, and thus, this observation should be confirmed in well-designed interventional studies. CONCLUSIONS: Based on the evidence to date, eHealth internet-based technology is a promising tool that can be utilized to both promote and enhance gastrointestinal disease management and mental health.

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ISSUES: It is well established that alcohol can cross the placenta to the fetus and can affect both physical and psychological development of the infant; however, many women continue to drink during pregnancy. It is therefore important to determine whether interventions can be successful in reducing alcohol consumption among pregnant women. Past reviews have investigated the effectiveness of clinical interventions in reducing alcohol consumption in pregnancy; however, the aim of the current review was to focus on the effectiveness of public health interventions. APPROACH: A critical literature review was conducted by searching several electronic databases using key words such as 'pregnancy', 'alcohol', 'interventions' and 'public health'. Studies were included if they utilised a public health intervention and included alcohol consumption or levels of knowledge as an outcome measure. KEY FINDINGS: Seven studies were included in the review. Interventions included multimedia and educational interventions. Improvements in knowledge were reported in six studies, whereas one study found contradictory results. Four studies used alcohol consumption rates as an outcome measure, and although a reduction in consumption was reported, the results were non-significant. IMPLICATIONS: The effectiveness of public health interventions that aim to increase awareness and reduce alcohol consumption among pregnant women cannot be assessed because of the paucity of studies. CONCLUSIONS: The results of this critical review emphasise a lack of evidence and highlight the need for further evaluation research on this topic.