11 research outputs found

    Covid-19 And Factors Affecting Vietnamese Students’ Readiness For Digital Transformation

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    Education in Vietnam is trying to make use of the values of the digital technology revolution. As one of the eight key fields of National Digital Transformation, education needs to find ways to develop and take advantage of opportunities to be able to shape the future of society with high-quality human resources. As a huge challenge, the Covid-19 pandemic has quickly put pressure on the past predicted trends in education such as the “university of the future”, but, from a positive viewpoint, it also brings a big opportunity for universities to make the transformation, from classic one to the new and trendy university – the digital one. The paper analyzes in-depth the factors affecting the readiness of Vietnamese students for digital transformation in the above context. The research model is built based on the Technology Acceptance Model (TAM) theory and corrects necessary variables. The results show that the impact of Covid-19, self-study ability and attitude are the factors that have the most influence on the willingness to shift the learning method towards digitization. According to the result, the authors will propose several recommendations on improving the readiness of Vietnamese students for the digital transformation of education and training. Thereby helping students change to adapt to learning activities when the pandemic appears, and know how to take advantage of digital transformation. Keywords: digital transformation, Covid-19, awareness, attitude, self-study DOI: 10.7176/JEP/12-16-04 Publication date:June 30th 202

    The Role of Multi-Sensory Experience Toward Perceived Medical Service Quality: A Research at Vietnam Public Hospital

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    The theory of Sensory Marketing has been developed as a special approach to help managers understand customers through creating multi-sensory experiences. In medical services, a patient's multi-sensory experience with a medical facility will shape each customer's different perception of service quality. The article evaluates the role of multi-sensory experience in customers’ perceived service quality at public hospitals in Vietnam. Research results have shown that tactile, olfactory, visual and taste stimuli have a significant influence on the perceived service quality of customers when experiencing medical services. Besides, the authors also detected that customer’s expectation and satisfaction have a proportional relationship. Discussions and recommendations on the application of sensory marketing to improve people's perception of the medical service quality have been proposed to enhance the brand image of Vietnam's public hospitals as well as to ensure the interests of the customer during the use of the service. Keywords: sensory marketing, perceived service quality, medical service, public hospital. DOI: 10.7176/JMCR/83-02 Publication date: December 31st 202

    Safety and efficacy of fluoxetine on functional outcome after acute stroke (AFFINITY): a randomised, double-blind, placebo-controlled trial

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    Background Trials of fluoxetine for recovery after stroke report conflicting results. The Assessment oF FluoxetINe In sTroke recoverY (AFFINITY) trial aimed to show if daily oral fluoxetine for 6 months after stroke improves functional outcome in an ethnically diverse population. Methods AFFINITY was a randomised, parallel-group, double-blind, placebo-controlled trial done in 43 hospital stroke units in Australia (n=29), New Zealand (four), and Vietnam (ten). Eligible patients were adults (aged ≄18 years) with a clinical diagnosis of acute stroke in the previous 2–15 days, brain imaging consistent with ischaemic or haemorrhagic stroke, and a persisting neurological deficit that produced a modified Rankin Scale (mRS) score of 1 or more. Patients were randomly assigned 1:1 via a web-based system using a minimisation algorithm to once daily, oral fluoxetine 20 mg capsules or matching placebo for 6 months. Patients, carers, investigators, and outcome assessors were masked to the treatment allocation. The primary outcome was functional status, measured by the mRS, at 6 months. The primary analysis was an ordinal logistic regression of the mRS at 6 months, adjusted for minimisation variables. Primary and safety analyses were done according to the patient's treatment allocation. The trial is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12611000774921. Findings Between Jan 11, 2013, and June 30, 2019, 1280 patients were recruited in Australia (n=532), New Zealand (n=42), and Vietnam (n=706), of whom 642 were randomly assigned to fluoxetine and 638 were randomly assigned to placebo. Mean duration of trial treatment was 167 days (SD 48·1). At 6 months, mRS data were available in 624 (97%) patients in the fluoxetine group and 632 (99%) in the placebo group. The distribution of mRS categories was similar in the fluoxetine and placebo groups (adjusted common odds ratio 0·94, 95% CI 0·76–1·15; p=0·53). Compared with patients in the placebo group, patients in the fluoxetine group had more falls (20 [3%] vs seven [1%]; p=0·018), bone fractures (19 [3%] vs six [1%]; p=0·014), and epileptic seizures (ten [2%] vs two [<1%]; p=0·038) at 6 months. Interpretation Oral fluoxetine 20 mg daily for 6 months after acute stroke did not improve functional outcome and increased the risk of falls, bone fractures, and epileptic seizures. These results do not support the use of fluoxetine to improve functional outcome after stroke

    An efficient model predictive control based on Lyapunov function for doubly fed induction generator fed by a T-type inverter

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    International audienceThis paper proposed an efficient model predictive control strategy for a three-level T-type inverter connected to a doubly fed induction generator. A dynamic model is utilized to track the power reference, preserve the DC-link voltage balancing and reduce the inverter switching frequency and common-mode voltage. Unlike the traditional finite control set model predictive control, the stability of the closed-loop system and computational burden reduction are concurrently accomplished as the main contribution to the proposed strategy. At each sampling period, the proposed algorithm only considers the candidate control inputs which satisfy the stability condition taken from a suitable control Lyapunov function for evaluating the optimization problem. Due to model uncertainties and discrete set control input voltages, an attractivity set is employed to determine the stability and converge of the system. Therefore, the lower computation time of the optimization problem is the potential benefit compared with the conventional method. Simulation investigation with different operating conditions of a 2 MW wind turbine is carried out by MATLAB/Simulink. The achieved results confirm the stability guarantees while reducing the computational burden and obtaining the same control performances in comparison with the conventional method

    Adipose Tissue Stem Cells for Therapy: An Update on the Progress of Isolation, Culture, Storage, and Clinical Application

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    Adipose tissue stem cells (ASCs), known as multipotent stem cells, are most commonly used in the clinical applications in recent years. Adipose tissues (AT) have the advantage in the harvesting, isolation, and expansion of ASCs, especially an abundant amount of stem cells compared to bone marrow. ASCs can be found in stromal vascular fractions (SVF) which are easily obtained from the dissociation of adipose tissue. Both SVFs and culture-expanded ASCs exhibit the stem cell characteristics such as differentiation into multiple cell types, regeneration, and immune regulators. Therefore, SVFs and ASCs have been researched to evaluate the safety and benefits for human use. In fact, the number of clinical trials on ASCs is going to increase by years; however, most trials are in phase I and II, and lack phase III and IV. This systemic review highlights and updates the process of the harvesting, characteristics, isolation, culture, storage, and application of ASCs, as well as provides further directions on the therapeutic use of ASCs

    Hybrid Periodic Mesoporous Organosilicas (PMO-SBA-16): A Support for Immobilization of d-Amino Acid Oxidase and Glutaryl-7-amino Cephalosporanic Acid Acylase Enzymes

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    This study examined the adsorption and stability of d-amino acid oxidase (DAAO) and glutaryl-7-amino cephalosporanic acid acylase (GL-7-ACA acylase) enzymes using two different types of periodic mesoporous organosilicas PMO-SBA-16 synthesized from 1,2-bis­(trimethoxysilyl)­ethane (BTME) and 1,4-bis­(triethoxysilyl)­benzene (BTEB). Very high loading, specific enzymatic activities, and stabilities have been reached by proper optimization of mesopore structure and morphology

    UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring

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    A desirable smart traffic-monitoring and street-safety system can elicit and support the intervention of law enforcement agencies or medical staff. Recently, there has been a dramatically higher demand for such smart systems. To this end, the International Workshop on Traffic and Street Surveillance for Safety and Security (IWT4S) was organized in conjunction with the 15th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS 2018). Our goal is to advance the state-of-the-art detection and tracking algorithms and provide a comprehensive performance evaluation for them. We evaluate 5 submitted detection and 7 submitted tracking methods on the large-scale UA-DETRAC benchmark, and the results are shared publicly on the website http://detrac-db. rit.albany.edu. We expect this challenge to advance the research and development of new detection and tracking methods for transportation applications
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