496 research outputs found

    Applying outcomes-based teaching and learning framework in the BSc Information Management Program in the Faculty of Education

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    The Conference proceedings website is located at http://www.cetl.hku.hk/conference2010/conf_proc.htmThis study reports on the preliminary findings of a Teaching Development Grant project that applies the outcomes-based teaching and learning framework in the BSc Information Management (IM) Program in the Faculty of Education at the University of Hong Kong. The study investigates three kinds of learning outcomes related to the BScIM Program: (1) Program level learning outcomes; (2) Course specific learning outcomes; (3) Generic academic outcomes: Information literacy and IM & Technology skills and knowledge of the BScIM Program. We examined the program level learning outcomes that were desirable to equip students for an IM-related career and to help students become a well-rounded university grad…postprin

    Multi-stage optimization of a deep model: A case study on ground motion modeling.

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    In this study, a multi-stage optimization procedure is proposed to develop deep neural network models which results in a powerful deep learning pipeline called intelligent deep learning (iDeepLe). The proposed pipeline is then evaluated by a challenging real-world problem, the modeling of the spectral acceleration experienced by a particle during earthquakes. This approach has three main stages to optimize the deep model topology, the hyper-parameters, and its performance, respectively. This pipeline optimizes the deep model via adaptive learning rate optimization algorithms for both accuracy and complexity in multiple stages, while simultaneously solving the unknown parameters of the regression model. Among the seven adaptive learning rate optimization algorithms, Nadam optimization algorithm has shown the best performance results in the current study. The proposed approach is shown to be a suitable tool to generate solid models for this complex real-world system. The results also show that the parallel pipeline of iDeepLe has the capacity to handle big data problems as well

    Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence.

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    BackgroundPatients with symptomatic intracranial atherosclerosis (ICAS) of ≥ 70% luminal stenosis are at high risk of stroke recurrence. We aimed to evaluate the relationships between hemodynamics of ICAS revealed by computational fluid dynamics (CFD) models and risk of stroke recurrence in this patient subset.MethodsPatients with a symptomatic ICAS lesion of 70-99% luminal stenosis were screened and enrolled in this study. CFD models were reconstructed based on baseline computed tomographic angiography (CTA) source images, to reveal hemodynamics of the qualifying symptomatic ICAS lesions. Change of pressures across a lesion was represented by the ratio of post- and pre-stenotic pressures. Change of shear strain rates (SSR) across a lesion was represented by the ratio of SSRs at the stenotic throat and proximal normal vessel segment, similar for the change of flow velocities. Patients were followed up for 1 year.ResultsOverall, 32 patients (median age 65; 59.4% males) were recruited. The median pressure, SSR and velocity ratios for the ICAS lesions were 0.40 (-2.46-0.79), 4.5 (2.2-20.6), and 7.4 (5.2-12.5), respectively. SSR ratio (hazard ratio [HR] 1.027; 95% confidence interval [CI], 1.004-1.051; P = 0.023) and velocity ratio (HR 1.029; 95% CI, 1.002-1.056; P = 0.035) were significantly related to recurrent territorial ischemic stroke within 1 year by univariate Cox regression, respectively with the c-statistics of 0.776 (95% CI, 0.594-0.903; P = 0.014) and 0.776 (95% CI, 0.594-0.903; P = 0.002) in receiver operating characteristic analysis.ConclusionsHemodynamics of ICAS on CFD models reconstructed from routinely obtained CTA images may predict subsequent stroke recurrence in patients with a symptomatic ICAS lesion of 70-99% luminal stenosis

    Development of a Health Empowerment Programme to improve the health of working poor families: protocol for a prospective cohort study in Hong Kong

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    Introduction: People from working poor families are at high risk of poor health partly due to limited healthcare access. Health empowerment, a process by which people can gain greater control over the decisions affecting their lives and health through education and motivation, can be an effective way to enhance health, health-related quality of life (HRQOL), health awareness and health-seeking behaviours of these people. A new cohort study will be launched to explore the potential for a Health Empowerment Programme to enable these families by enhancing their health status and modifying their attitudes towards health-related issues. If proven effective, similar empowerment programme models could be tested and further disseminated in collaborations with healthcare providers and policymakers. Method and analysis: A prospective cohort study with 200 intervention families will be launched and followed up for 5 years. The following inclusion criteria will be used at the time of recruitment: (1) Having at least one working family member; (2) Having at least one child studying in grades 1–3; and (3) Having a monthly household income that is less than 75% of the median monthly household income of Hong Kong families. The Health Empowerment Programme that will be offered to intervention families will comprise four components: health assessment, health literacy, self-care enablement and health ambassador. Their health status, HRQOL, lifestyle and health service utilisation will be assessed and compared with 200 control families with matching characteristics but will not receive the health empowerment intervention. Ethics and dissemination: This project was approved by the University of Hong Kong—the Hospital Authority Hong Kong West Cluster IRB, Reference number: UW 12-517. The study findings will be disseminated through a series of peer-reviewed publications and conference presentations, as well as a yearly report to the philanthropic funding body–Kerry Group Kuok Foundation (Hong Kong) Limited.published_or_final_versio

    A large Chinese kindred with familial ALS without SOD1 mutation

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    This journal suppl. contain abstracts of the 8th Medical Research Conference, Medical Science Group, Queen Mary Hospital, Hong Kongpublished_or_final_versio

    Consumer perceptions of co-branding alliances: Organizational dissimilarity signals and brand fit

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    This study explores how consumers evaluate co-branding alliances between dissimilar partner firms. Customers are well aware that different firms are behind a co-branded product and observe the partner firms’ characteristics. Drawing on signaling theory, we assert that consumers use organizational characteristics as signals in their assessment of brand fit and for their purchasing decisions. Some organizational signals are beyond the control of the co-branding partners or at least they cannot alter them on short notice. We use a quasi-experimental design and test how co-branding partner dissimilarity affects brand fit perception. The results show that co-branding partner dissimilarity in terms of firm size, industry scope, and country-of-origin image negatively affects brand fit perception. Firm age dissimilarity does not exert significant influence. Because brand fit generally fosters a benevolent consumer attitude towards a co-branding alliance, the findings suggest that high partner dissimilarity may reduce overall co-branding alliance performance

    Honokiol Arrests Cell Cycle, Induces Apoptosis, and Potentiates the Cytotoxic Effect of Gemcitabine in Human Pancreatic Cancer Cells

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    Survival rates for patients with pancreatic cancer are extremely poor due to its asymptomatic progression to advanced and metastatic stage for which current therapies remain largely ineffective. Therefore, novel therapeutic agents and treatment approaches are desired to improve the clinical outcome. In this study, we determined the effects of honokiol, a biologically active constituent of oriental medicinal herb Magnolia officinalis/grandiflora, on two pancreatic cancer cell lines, MiaPaCa and Panc1, alone and in combination with the standard chemotherapeutic drug, gemcitabine. Honokiol exerted growth inhibitory effects on both the pancreatic cancer cell lines by causing cell cycle arrest at G1 phase and induction of apoptosis. At the molecular level, honokiol markedly decreased the expression of cyclins (D1 and E) and cyclin-dependent kinases (Cdk2 and Cdk4), and caused an increase in Cdk inhibitors, p21 and p27. Furthermore, honokiol treatment led to augmentation of Bax/Bcl-2 and Bax/Bcl-xL ratios to favor apoptosis in pancreatic cancer cells. These changes were accompanied by enhanced cytoplasmic accumulation of NF-κB with a concomitant decrease in nuclear fraction and reduced transcriptional activity of NF-κB responsive promoter. This was associated with decreased phosphorylation of inhibitor of kappa B alpha (IκB-α) causing its stabilization and thus increased cellular levels. Importantly, honokiol also potentiated the cytotoxic effects of gemcitabine, in part, by restricting the gemcitabine-induced nuclear accumulation of NF-κB in the treated pancreatic cancer cell lines. Altogether, these findings demonstrate, for the first time, the growth inhibitory effects of honokiol in pancreatic cancer and indicate its potential usefulness as a novel natural agent in prevention and therapy
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