53 resultados para Study of multiple cases


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This paper examines the experiences of selected academics pioneering e-learning in Malaysian tertiary institutions. It begins with an overview of the broad factors shaping the Malaysian educational environment and then proceeds to examine the experience of individual teachers and e-learning programs. It takes an in-depth qualitative approach to engaging with this case study material drawing heavily on semi-structured interviews with key actors.
Conversations with several respondents suggested that the social networks of mentor relations found in the Malaysian case studies might be aptly described as ‘bamboo networks’. Bamboo, which happens to be plentiful in the Malaysian peninsula where these case studies are based, spreads from clump to clump through a series of underground connections involving a mature clump of bamboo sending out a subterranean runner, often over very long distances that then emerge into the open as a new bamboo clump.
All of those interviewed reported that they have found it difficult to find a support base in their first years of pioneering online developments. Consequently, they tended to fall back on their peer networks linked to the institutions at which they had studied. Prominent individuals championing e-learning in the institutions where they teach tend to form small groups for information sharing and networking. They do look to their management for tacit ‘permission’ rather than direct encouragement. Consequently, the active promotion of e-learning in Malaysia can be described as being ‘middle-down’ rather than ‘top-down’ in nature. That is to say, it is mid-level teachers that inspire those below them to join in the development of e-learning programs. They are internally driven and strongly motivated. In time, their activity should produce new generations of locally developed e-learning experts but this has yet to take place in a substantial fashion. This study shows that both men and women ‘academic guanxi’, or peer networks, play a key role in the adoption of online technologies. Key early adopters become change-agents by inspiring a small network of their peers and via their guanxi networks. It was also discovered that motivation is not simply an individual matter but is also about groups and peer networks or communities of exchange and encouragement. In the development of e-learning in Malaysia, there is very little activity that is not linked to small clusters of developers who are tied into wider networks through personal contacts.
Like clumping bamboo, whilst the local clusters tend to be easily seen, the longer-range ‘subterranean’ personal connections are generally not nearly so immediately obvious. These connections are often the product of previous mentoring relationships, including the relationships between influential teachers and their former postgraduate students. These relationships tend to work like bamboo runners: they run off in multiple directions, subterranean and unseen and then throw up new clumps that then send out fresh runners of their own.

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This paper focuses on the choice of a supervised learning algorithm and possible data preprocessing in the domain of data-driven haptic simulation. This is done through a comparison of the performance of different supervised learning techniques with and without data preprocessing. The simulation of haptic interactions with deformable objects using data-driven methods has emerged as an alternative to parametric methods. The accuracy of the simulation depends on the empirical data and the learning method. Several methods were suggested in the literature and here we provide a comparison between their performance and applicability to this domain. We selected four examples to be compared: singular learning mechanism which is artificial neural networks (ANN), attribute selection followed by ANN learning process, ensemble of multiple learning techniques, and attribute selection followed by the learning ensemble. These methods performance was compared in the domain of simulating multiple interactions with a deformable object with nonlinear material behavior.

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The challenge of comparing two or more genomes that have undergone recombination and substantial amounts of segmental loss and gain has recently been addressed for small numbers of genomes. However, datasets of hundreds of genomes are now common and their sizes will only increase in the future. Multiple sequence alignment of hundreds of genomes remains an intractable problem due to quadratic increases in compute time and memory footprint. To date, most alignment algorithms are designed for commodity clusters without parallelism. Hence, we propose the design of a multiple sequence alignment algorithm on massively parallel, distributed memory supercomputers to enable research into comparative genomics on large data sets. Following the methodology of the sequential progressiveMauve algorithm, we design data structures including sequences and sorted k-mer lists on the IBM Blue Gene/P supercomputer (BG/P). Preliminary results show that we can reduce the memory footprint so that we can potentially align over 250 bacterial genomes on a single BG/P compute node. We verify our results on a dataset of E.coli, Shigella and S.pneumoniae genomes. Our implementation returns results matching those of the original algorithm but in 1/2 the time and with 1/4 the memory footprint for scaffold building. In this study, we have laid the basis for multiple sequence alignment of large-scale datasets on a massively parallel, distributed memory supercomputer, thus enabling comparison of hundreds instead of a few genome sequences within reasonable time.

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Background: There is insufficient evidence for the efficacy of comprehensive multiple risk factor interventions by pharmacists in the primary prevention of cardiovascular disease (CVD). Given the proven benefits of pharmacist interventions for individual risk factors, it is essential that evidence for a comprehensive approach to care be generated so that pharmacists remain key members of the health care team for individuals at risk of initial onset of CVD. Objective: To establish the feasibility of an intervention delivered by community pharmacists to reduce the risk of primary onset of CVD.
Methods: A single-cohort intervention study was undertaken in 2008-2009. Twelve community pharmacists from 10 pharmacies who were trained to provide lifestyle and medicine management support to reduce CVD risk recruited 70 at-risk participants aged 50-74 years who were free from diabetes or CVD. Participants received a baseline assessment to establish CVD risk and health behaviors. An assessment report provided to patients and pharmacists was used to collaboratively establish treatment goals and, over 5 sessions, implement treatment strategies. Follow-up assessment at 6 months measured changes in baseline parameters. The primary outcome was the average change to overall 5-year risk of CVD onset.
Results:
Sixty-seven participants were included in the analysis. The mean participant age was 60 years and 73% were female. We observed a 25% (95% CI 17 to 33) proportional risk reduction in overall CVD risk. Significant reductions also occurred in mean blood pressure (-11/-5 mm Hg) and waist circumference (-1.3 cm), with trends toward improvement for most other observed risk factors.
Conclusions: Findings support previous evidence of positive cardiovascular health outcomes following pharmacist intervention in other patient groups; we recommend generating randomized controlled trial evidence for a primary prevention population.

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This presentation reports on the methodological issues confronting an Australian-German-Taiwanese team planning comparative video ethnographic research into primary science classrooms. The issues that will be canvassed include: the benefits of cross-cultural comparisons in providing perspectives on local practice, the theoretical justifications of such comparisons, selection of cases for comparison and possibilities for claiming cultural representativeness, the planning of appropriate data sets, the different comparative stories offered by different analytical frames, practical issues of communication and data sharing, and issues of entanglement of language and culture in the analysis.

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This study sought to investigate the preferences for language use and modes of learning of university students who were completing undergraduate degrees in Australia. Of the sixty students surveyed, forty percent were international students. For seventy five percent of all students sampled, either they or their parents (or both) were bi- or multilingual. Questions which this research sought to answer were: Do the preferences for learning of university students differ according to the culture and / or language backgrounds of the students? Does an individual student’s preferred learning style influence the student’s preferences for learning in a group situation? For students whose first language is not English, do their preferences for language use vary in group learning? General findings resulting from a statistical analysis of responses to the questionnaire indicated in many, but not all, cases that the preferences for learning of university students differed according to the cultural and / or language backgrounds of the students, that an individual student’s preferred learning style influenced the student’s preferences for learning in a group situation, and that the preferences for language use of students whose first language was not English varied in group learning. Reid’s (1984 in Richards, J.C. & Lockhart, C., 1994) “Perceptual learning style preference questionnaire” comprised one section of the questionnaire for this study. This replication made possible a comparison of the findings which related to students’ learning styles from this study with findings from similar studies in which Reid’s survey instrument had been used. Findings of the present study indicate a number of differences from Reid’s findings. This study found, for example, that most language groups showed a minor preference for group learning using this survey instrument whereas Reid had found that group learning was a negligible preference for most of the language groups in her study. This study may give tertiary educators a greater understanding of their students’ preferences for group and other learning styles. It may also inform them of the likely preferences for language use of those of their students who have first languages other than English. Future students may benefit from this.

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Introduction

Socio-economically disadvantaged women are at a greater risk of spending excess time engaged in television viewing, a behavior linked to several adverse health outcomes. However, the factors which explain socio-economic differences in television viewing are unknown. This study aimed to investigate the contribution of intrapersonal, social and environmental factors to mediating socio-economic (educational) inequalities in women's television viewing.
Methods

Cross-sectional data were provided by 1,554 women (aged 18-65) who participated in the 'Socio-economic Status and Activity in Women study' of 2004. Based on an ecological framework, women self-reported their socio-economic position (highest education level), television viewing, as well as a number of potential intrapersonal (enjoyment of television viewing, preference for leisure-time sedentary behavior, depression, stress, weight status), social (social participation, interpersonal trust, social cohesion, social support for physical activity from friends and from family) and physical activity environmental factors (safety, aesthetics, distance to places of interest, and distance to physical activity facilities).
Results

Multiple mediating analyses showed that two intrapersonal factors (enjoyment of television viewing and weight status) and two social factors (social cohesion and social support from friends for physical activity) partly explained the educational inequalities in women's television viewing. No physical activity environmental factors mediated educational variations in television viewing.
Conclusions

Acknowledging the cross-sectional nature of this study, these findings suggest that health promotion interventions aimed at reducing educational inequalities in television viewing should focus on intrapersonal and social strategies, particularly providing enjoyable alternatives to television viewing, weight-loss/management information, increasing social cohesion in the neighborhood and promoting friend support for activity.

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Due to its small size and versatility, the biarsenical-tetracysteine system is an attractive way to label viral proteins for live cell imaging. This study describes the genetic labeling of the human immunodeficiency virus type 1 (HIV-1) structural proteins (matrix, capsid and nucleocapsid), enzymes (protease, reverse transcriptase, RNAse H and integrase) and envelope glycoprotein 120 with a tetracysteine tag in the context of a full-length virus. We measure the impact of these modifications on the natural virus infection and, most importantly, present the first infectious HIV-1 construct containing a fluorescently-labeled nucleocapsid protein. Furthermore, due to the high background levels normally associated with the labeling of tetracysteine-tagged proteins we have also optimized a metabolic labeling system that produces infectious virus containing the natural envelope glycoproteins and specifically labeled tetracysteine-tagged proteins that can easily be detected after virus infection of T-lymphocytes. This approach can be adapted to other viral systems for the visualization of the interplay between virus and host cell during infection.

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We present four case studies of the literature discussing the effects of physical forces on biological function. While the field of biomechanics has existed for many decades, it may be considered by some a poor cousin to biochemistry and other traditional fields of medical research. In these case studies, including cardiovascular and respiratory systems, we demonstrate that, in fact, many systems historically believed to be controlled by biochemistry are dominated by biomechanics. We discuss both the previous paradigms that have advanced research in these fields and the changing paradigms that will define the progressions of these fields for decades to come. In the case of biomechanical effects of flowing blood on the endothelium, this has been well understood for decades. In the cases of platelet activation and liquid clearance from the lungs during birth, these discoveries are far more recent and perhaps not as universally accepted. While only a few specific examples are examined here, it is clear that not enough attention is paid to the possible mechanical links to biological function. The continued development of these research areas, with the inclusion of physical effects, will hopefully provide new insight into disease development, progression, diagnosis and effective therapies.

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High-brightness synchrotron X-rays together with precision achromatic focusing optics on beamline 7.3.3 at the Advanced Light Source have been applied for Laue microdiffraction analysis of mineralogical phases in Egyptian pigments. Although this task is usually performed using monochromatic X-ray diffraction, the Laue technique was both faster and more reliable for the present sample. In this approach, white-beam diffraction patterns are collected as the sample is raster scanned across the incident beam (0.8 µm × 0.8 µm). The complex Laue diffraction patterns arising from illumination of multiple grains are indexed using the white-beam crystallographic software package XMAS, enabling a mineralogical map as a function of sample position. This methodology has been applied to determine the mineralogy of colour pigments taken from the ancient Egyptian coffin of Tjeseb, a priestess of the Apis bull dating from the Third Intermediate to Late period, 25th Dynasty to early 26th Dynasty (747 to 600 BC). For all pigments, a ground layer of calcite and quartz was identified. For the blue pigment, cuprorivaite (CuCaSi4O10) was found to be the primary colouring agent with a grain size ranging from ∼10 to 50 µm. In the green and yellow samples, malachite [Cu2(OH)2CO3] and goethite [FeO(OH)] were identified, respectively. Grain sizes from these pigments were significantly smaller. It was possible to index some malachite grains up to ∼20 µm in size, while the majority of goethite grains displayed a nanocrystalline particle size. The inability to obtain a complete mineralogical map for goethite highlights the fact that the incident probe size is considerably larger than the grain size. This limit will continue to improve as the present trend is toward focusing optics approaching the diffraction limit (∼1000× smaller beam area).

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Background: National and international strategies to increase physical activity emphasize environmental and policy changes that can have widespread and long-lasting impact. Evidence from multiple countries using comparable methods is required to strengthen the evidence base for such initiatives. Because some environment and policy changes could have generalizable effects and others may depend on each country’s context, only international studies using comparable methods can identify the relevant differences. Methods: Currently 12 countries are participating in the International Physical Activity and the Environment Network (IPEN) study. The IPEN Adult study design involves recruiting adult participants from neighborhoods with wide variations in environmental walkability attributes and socioeconomic status (SES). Results: Eleven of twelve countries are providing accelerometer data and 11 are providing GIS data. Current projections indicate that 14,119 participants will provide survey data on built environments and physical activity and 7145 are likely to provide objective data on both the independent and dependent variables. Though studies are highly comparable, some adaptations are required based on the local context. Conclusions: This study was designed to inform evidence-based international and country-specific physical activity policies and interventions to help prevent obesity and other chronic diseases that are high in developed countries and growing rapidly in developing countries.

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Background: 

The magnitude of the relationship between lifestyle risk factors for obesity and adiposity is not clear. The aim of this study was to clarify this in order to determine the level of importance of lifestyle factors in obesity aetiology.

Methods:
A cross-sectional analysis was carried out on data on youth who were not trying to change weight (n = 5714), aged 12 to 22 years and from 8 ethnic groups living in New Zealand, Australia, Fiji and Tonga. Demographic and lifestyle data were measured by questionnaires. Fatness was measured by body mass index (BMI), BMI z-score and bioimpedance analysis, which was used to estimate percent body fat and total fat mass (TFM). Associations between lifestyle and body composition variables were examined using linear regression and forest plots.

Results:
TV watching was positively related to fatness in a dose-dependent manner. Strong, dose-dependent associations were observed between fatness and soft drink consumption (positive relationship), breakfast consumption (inverse relationship) and after-school physical activity (inverse relationship). Breakfast consumption-fatness associations varied in size across ethnic groups. Lifestyle risk factors for obesity were associated with percentage differences in body composition variables that were greatest for TFM and smallest for BMI.

Conclusions:
Lifestyle factors were most strongly related to TFM, which suggests that studies that use BMI alone to quantify fatness underestimate the full effect of lifestyle on adiposity. This study clarifies the size of lifestyle-fatness relationships observed in previous studies.

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The purpose of the present study was to determine the validity of the 20-meter multistage shuttle run (MSR) for predicting peak VO2 in Hong Kong Chinese students, ages 12-15 years. Fifty-five subjects, 27 boys and 28 girls, performed the MSR in the school environment and had peak VO2 determined in the laboratory. A correlation of 0.72 (p is less than 0.001) was found between peak VO2 and predicted peak VO2 using an equation previously developed with Canadian children (6). However, maximal shuttle run speed alone was a better predictor in this group (r=0.74, SEE=4.6 ml.kg-1.min-1, p is less than 0.001). Multiple-regression analysis (best-subsets) was performed and the best predictor variables were maximal speed and sex with either triceps skinfold or weight. For practical application in the school setting, the equation peak VO2=24.2-5.0(sex) minus 0.8(age) plus 3.4(maximal speed) (r=0.82, SEE=4.0), where for sex, male = 0 and female = 1, is suggested.

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In the era of information economy, Chinese firms have realised that technology innovation is fundamental for organisations to gain competitive advantages in the global market. This case study evaluates the drivers and antecedents of technology innovation of two emerging Chinese multinational firms. Institutional theory, the resource-based view and the competency-based strategic perspective are used as the basis for case analysis. The findings show some similarities and differences between the growth of Chinese multinational firms and those of more traditional ones. Chinese firms appear not to follow single innovation pathways but take multiple routes combining several types of innovation, such as strategic, organisational and operational innovation. The key component in the successful technology innovation process among Chinese firms was found to be in alignment with several human resource management strategies. The case study concludes with discussion on managerial and pedagogical implications. These help address inherent differences in the innovation management process between emerging Chinese and established multinational firms.

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This study investigated predictors of quality of life (QOL) of people with progressive neurological illnesses. Participants were 257 people with motor neurone disease (MND), Huntington’s disease (HD), multiple sclerosis (MS), or Parkinson’s. Participants completed questionnaires on two occasions, 12 months apart. There was an increase in severity of symptoms for people withMND, negative mood for people with HD and Parkinson’s, and social support satisfaction for people with MS. Regression analyses were conducted to determine predictors of QOL for each group. Predictor variables were length of illness, symptoms (physical symptoms, control over body, cognitive symptoms and psychological symptoms), mood, relationship satisfaction and social support. Predictors of QOL were severity of symptoms for people withMND, HD and MS; negative mood for people withMNDand Parkinson’s; and social support satisfaction for people with MS. These results demonstrate the importance of illness severity and mood in predicting QOL, but also indicate differences between illness groups. The limited role played by social support and relationship is a surprising finding from the current study.