961 resultados para Complexity science


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Objective Poor dietary intake is the most important behavioural risk factor affecting health globally. Despite this, there has been little investment in public health nutrition policy actions. Policy process theories from the field of political science can aid understanding why policy decisions have occurred and identify how to influence ongoing or future initiatives. This review aims to examine public health nutrition policy literature and identify whether a policy process theory has been used to analyse the process. Design Electronic databases were searched systematically for studies examining policymaking in public health nutrition in high-income, democratic countries. Setting International, national, state and local government jurisdictions within high-income, democratic countries. Subjects Individuals and organisations involved in the nutrition policymaking process. Results Sixty-three studies met the eligibility criteria, most were conducted in the USA and a majority focused on obesity. The analysis demonstrates an accelerating trend in the number of nutrition policy papers published annually and an increase in the diversity of nutrition topics examined. The use of policy process theory was observed from 2003, however, it was utilised by only 14% of the reviewed papers. Conclusions There is limited research into the nutrition policy process in high-income countries. While there has been a small increase in the use of policy process theory from 2003, an opportunity to expand their use is evident. We suggest that nutrition policymaking would benefit from a pragmatic approach that ensures those trying to influence or understand the policymaking process are equipped with basic knowledge around these theories.

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Twenty-nine first-year pre-service teachers' perceptions of mentoring and primary science teaching were collected through a literature-based survey. Frequencies, means, and standard deviations of these responses provided data for analysis on these mentoring practices. Results indicated that even though mentors may provide feedback, the majority of mentors do not provide specific primary science mentoring in the areas of pedagogical knowledge, system requirements, and the modeling of teaching practice. It appears that the mentor's personal attributes may also influence the quality of mentoring. There were tentative conclusions that first-year pre-service teachers may not have strong beliefs about specific primary science mentoring practices, and possibly because of inexperience, may not be critical enough to analyse their mentoring in primary science teaching. Identifying specific mentoring for developing primary science teaching may assist mentors in their practices with pre-service teachers.

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This chapter will report on a study that sought to develop a systemwide approach to embedding education for sustainability (EfS (the preferred term in Australia) in teacher education. The strategy for a coordinated and coherent systemic approach involved identifying and eliciting the participation of key agents of change within the‘teacher education system’ in one state in Australia, Queensland. This consisted of one representative from each of the eight Queensland universities offering pre-service teacher education, as well as the teacher registration authority, the key State Government agency responsible for public schools, and two national professional organisations. Part of the approach involved teacher educators at different universities developing an institutional specific approach to embedding sustainability education within their teacher preparation programs. Project participants worked collaboratively to facilitate policy and curriculum change while the project leaders used an action research approach to inform and monitor actions taken and to provide guidance for subsequent actions to effect change simultaneously at the state, institutional and course levels. In addition to the state-wide multi-site case study, which we argue has broader applications to national systems in other countries, the chapter will include two institutional level case studies of efforts to embed sustainability in science teacher education.

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The concept of big data has already outperformed traditional data management efforts in almost all industries. Other instances it has succeeded in obtaining promising results that provide value from large-scale integration and analysis of heterogeneous data sources for example Genomic and proteomic information. Big data analytics have become increasingly important in describing the data sets and analytical techniques in software applications that are so large and complex due to its significant advantages including better business decisions, cost reduction and delivery of new product and services [1]. In a similar context, the health community has experienced not only more complex and large data content, but also information systems that contain a large number of data sources with interrelated and interconnected data attributes. That have resulted in challenging, and highly dynamic environments leading to creation of big data with its enumerate complexities, for instant sharing of information with the expected security requirements of stakeholders. When comparing big data analysis with other sectors, the health sector is still in its early stages. Key challenges include accommodating the volume, velocity and variety of healthcare data with the current deluge of exponential growth. Given the complexity of big data, it is understood that while data storage and accessibility are technically manageable, the implementation of Information Accountability measures to healthcare big data might be a practical solution in support of information security, privacy and traceability measures. Transparency is one important measure that can demonstrate integrity which is a vital factor in the healthcare service. Clarity about performance expectations is considered to be another Information Accountability measure which is necessary to avoid data ambiguity and controversy about interpretation and finally, liability [2]. According to current studies [3] Electronic Health Records (EHR) are key information resources for big data analysis and is also composed of varied co-created values [3]. Common healthcare information originates from and is used by different actors and groups that facilitate understanding of the relationship for other data sources. Consequently, healthcare services often serve as an integrated service bundle. Although a critical requirement in healthcare services and analytics, it is difficult to find a comprehensive set of guidelines to adopt EHR to fulfil the big data analysis requirements. Therefore as a remedy, this research work focus on a systematic approach containing comprehensive guidelines with the accurate data that must be provided to apply and evaluate big data analysis until the necessary decision making requirements are fulfilled to improve quality of healthcare services. Hence, we believe that this approach would subsequently improve quality of life.

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The era of knowledge-based urban development has led to an unprecedented increase in mobility of people and the subsequent growth in new typologies of agglomerated enclaves of knowledge such as knowledge and innovation spaces. Within this context, a new role has been assigned to contemporary public spaces to attract and retain the mobile knowledge workforce by creating a sense of place. This paper investigates place making in the globalized knowledge economy, which develops a sense of permanence spatio-temporally to knowledge workers displaying a set of particular characteristics and simultaneously is process-dependent getting developed by the internal and external flows and contributing substantially in the development of the broader context it stands in relation with. The paper reviews the literature and highlights observations from Kelvin Grove Urban Village, located in Australia’s new world city Brisbane, to understand the application of urban design as a vehicle to create and sustain place making in knowledge and innovation spaces. This research seeks to analyze the modified permeable typology of public spaces that makes knowledge and innovation spaces more viable and adaptive as per the changing needs of the contemporary globalized knowledge society.

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Dancing is an activity most people associate with after-hours exploits: parties, weddings, the lounge rooms of friends with great vinyl collections, a night out at the ballet – or television shows such as So You Think You Can Dance, Dancing With The Stars or Got To Dance...

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At a campus in a low socioeconomic (SES) area, our University allows enrolled nurses entry into the second year of a Bachelor of Nursing, but attrition is high. Using the factors, described by Yorke and Thomas (2003) to have a positive impact on the attrition of low SES students, we developed strategies to prepare the enrolled nurses for the pharmacology and bioscience units of a nursing degree with the aim of reducing their attrition. As a strategy, the introduction of review lectures of anatomy, physiology and microbiology, was associated with significantly reduced attrition rates. The subsequent introduction of a formative website activity of some basic concepts in bioscience and pharmacology, and a workshop addressing study skills and online resources, were associated with a further reduction in attrition rates of enrolled nursing students in a Bachelor of Nursing.

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Some statistical procedures already available in literature are employed in developing the water quality index, WQI. The nature of complexity and interdependency that occur in physical and chemical processes of water could be easier explained if statistical approaches were applied to water quality indexing. The most popular statistical method used in developing WQI is the principal component analysis (PCA). In literature, the WQI development based on the classical PCA mostly used water quality data that have been transformed and normalized. Outliers may be considered in or eliminated from the analysis. However, the classical mean and sample covariance matrix used in classical PCA methodology is not reliable if the outliers exist in the data. Since the presence of outliers may affect the computation of the principal component, robust principal component analysis, RPCA should be used. Focusing in Langat River, the RPCA-WQI was introduced for the first time in this study to re-calculate the DOE-WQI. Results show that the RPCA-WQI is capable to capture similar distribution in the existing DOE-WQI.

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This study investigated a new performance indicator to assess climbing fluency (smoothness of the hip trajectory and orientation of a climber using normalized jerk coefficients) to explore effects of practice and hold design on performance. Eight experienced climbers completed four repetitions of two, 10-m high routes with similar difficulty levels, but varying in hold graspability (holds with one edge vs holds with two edges). An inertial measurement unit was attached to the hips of each climber to collect 3D acceleration and 3D orientation data to compute jerk coefficients. Results showed high correlations (r = .99, P < .05) between the normalized jerk coefficient of hip trajectory and orientation. Results showed higher normalized jerk coefficients for the route with two graspable edges, perhaps due to more complex route finding and action regulation behaviors. This effect decreased with practice. Jerk coefficient of hip trajectory and orientation could be a useful indicator of climbing fluency for coaches as its computation takes into account both spatial and temporal parameters (ie, changes in both climbing trajectory and time to travel this trajectory)

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This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinical pathways by introducing a perspective-based segmentation of the date-stamped event log. CPAM enables the clinical pathway analyst to effectively and efficiently acquire a profound insight into the clinical pathways. By comparing the specific medical conditions of patients with the factors used for characterising the different clinical pathway variants, the medical expert can identify the best therapeutic option. Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events. Finally, the methodology provides support for eliciting tacit knowledge and providing treatment selection assistance.

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The study monitored the emissions of volatile organic compounds (VOCs) from the exhaust of cars fuelled by liquefied petroleum gas (LPG) and unleaded petrol (ULP). Six cars, four fuelled by LPG and two by ULP, were tested on a chassis dynamometer at two different cruising modes of operation (60 km h−1 and 80 km h−1) and idle. A total of 33 VOCs were identified in the exhaust of both types of fuels by the use of GC/MS. Due to the complexity of the dataset, Multi Criteria Decision Making (MCDM) software PROMETHEE and GAIA was used to rank the least polluting mode and fuel. The 60 km h−1 driving speed was identified as the cleaner mode of driving as was LPG fuel. The Ozone Formation Potential (OFP) of the VOCs was also calculated by using the incremental reactivity scale. Priority VOCs leading to ozone formation were identified according to the three incremental reactivity scales: MIR, MOIR and EBIR. PROMETHEE was applied to assess the most preferred scale of reactivity for predicting ozone formation potential under different scenarios. The results enhance the understanding of the environmental value of using LPG to power passenger cars.

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Management of a pandemic engages multiple sites where previously settled or uncontroversial understandings may be transformed by global and domestic forces. This article examines the iconography of social distancing implicated in the discourses of ‘quarantine’ and ‘risk control’ in public health, and the tension between scientific and popular media readings of the contours of acceptable public health models for managing particular pandemics. The role of culture in shaping and reshaping borders at an operational level is explored as a basis for explaining the apparent paradoxes in the way historic and contemporary pandemics are actually managed, and the different ways particular pandemics are framed. The article argues that a rational-scientific approach to pandemic management is insufficient and that a more nuanced socio-political blend of science, culture and public perceptions offers a more substantial basis for public health policy.

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There has been an increasing body of research on autonomy- or need-support specific to a coaching context that warrants some review of what we know and don't know, and what might be generative for future research. The previous studies reviewed within this article have shown consistent support for Self-determination theory with autonomy-supportive environments linked with adaptive outcomes, such as superior performance, enhanced self-worth, increased effort, and self-determined motivation; while controlling environments have been linked with increased attrition and extrinsic motivation or amotivation. In this way, much of the research in autonomy-supportive coaching has focused on the impact of coaching behaviours on athlete outcomes. While this is an important focus of inquiry, there has been a dearth of research examining those causal factors that impact coaches' pedagogical behaviours in the first case. This review underscores the need for future research to examine the antecedents to coaching behaviours, which is central to understanding the complexity and challenges in promoting an autonomy-supportive approach to sport coaching.