14 research outputs found

    Throughput analysis of non-orthogonal multiple access and orthogonal multiple access assisted wireless energy harvesting K-hop relaying networks

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    This study introduces the non-orthogonal multiple access (NOMA) technique into the wireless energy harvesting K-hop relay network to increase throughput. The relays have no dedicated energy source and thus depend on energy harvested by wireless from a power beacon (PB). Recently, NOMA has been promoted as a technology with the potential to enhance connectivity, reduce latency, increase fairness amongst users, and raise spectral effectiveness compared to orthogonal multiple access (OMA) technology. For performance considerations, we derive exact throughput expressions for NOMA and OMA-assisted multi-hop relaying and compare the performance between the two. The obtained results are validated via Monte Carlo simulations

    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

    A MARKETING PLAN FOR ROLL&ROLL FAST-CASUAL RESTAURANT

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    Mexican cuisine and organic fast-casual concept become popular in the world, especially in American nowadays but in Vietnam, a South-East Asia country, they are still unfamiliar. However, Vietnamese young people, mainly consumer with strong purchasing power are getting more integrated with international culture. This means they are willing to try and react positively to international cuisine. Moreover, Vietnam is considered to have new attractions to traveller with numerous wonderful natural sightseeing. Therefore, it is probably prospective market for new restaurant businesses, especially trendy and creative ones. A key thing to remember is all of them need to focus on a marketing plan, which is an ideal tool to introduce new products and promote brand-awareness. This paper aims to create a marketing plan for Roll & Roll, a Mexican fast-casual restaurant opened in Vietnam based on a market research and competition analysis. With this available knowledge, a case study methodology will be utilized with online surveys whose respondents are mainly the restaurant’s target consumers. Moreover, a definition of restaurant concepts, instruction and basic steps of how to generate a marketing plan is introduced and explained in the theoretical framework to give an in - depth understanding before starting a practical case. The result of this thesis should support entrepreneurs who plan to start up a restaurant business through a practical case: Roll & Roll restaurant. The marketing plan was designed based on available research information and the writer’s personal experience during her working time in a restaurant

    Effects of Reflective Thinking On Deep Learning in Theoretical Linguistics Classes

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    It has been reported that some teachers mainly lectured while teaching online and students only listened and took notes. As a result, students did not develop highorder thinking skills. The study examined the effects of reflective writing, one of the deep learning approaches on students’ learning outcomes. Participants were 103 undergraduate students studying phonetics and phonology at a private university in Vietnam. Students had to submit 481 reflective writings over a tenweek period and did the mid-term and final tests. Five students participated in semi-structured interviews. Findings showed that there was a positive correlation between the number of assignments and their mid-term and final scores. The group that completed more assignments had higher scores. The study also revealed the impact of reflective writings on students’ retainment of the lesson content and utilization of higher-order thinking skills. The findings suggest some pedagogical implications for teachers to sustain students’ deep learning

    Construction of roles, obligations and values in politicians’ discourses on anti-corruption

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    AbstractCorruption is a very significant and formidable obstacle to the development of Vietnam, a single-party nation. It impacts almost all social, political, educational, economic and cultural aspects of the whole nation. However, while this issue has increasingly attracted the attention of both international and domestic circles, there is a desperate limitation in scholarly work addressing corruption in Vietnam. Recent studies have focused on education, economics, or laws, with very few analyzing the linguistic phenomenon in the construction of this discourse. To fill this gap, this article explores the semiotic performances through which anti-corruption discourses have been constructed in Vietnam. This article delves into the correlation between language and power, and how power is conditioned by the social, political, and cultural particularities. Drawing on a combination of Critical Discourse Analysis approaches and utilizing Systemic Functional Grammar and Appraisal Theory as analytical tools, this analysis examines two articles on anti-corruption written by senior politicians, due to the paucity of corruption-related publications within a five-year span from mainstream CPV-controlled media. The findings reveal that in this political system, the discourse on anti-corruption functions as a rhetoric of glory and determination. Politicians strategically used language to emphasize the achievements in combating corruption, aiming to gain support for anti-corruption initiatives and legitimize their political actions. This study can significantly contribute to advancing the understanding of the underlying power structures and ideologies in corruption discourse in Vietnam. It also offers implications for further research on the aspects overlooked or minimized in the high-ranking politicians’ discourse

    A multivariate regression approach to personality impression recognition of vloggers

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    Research in psychology has suggested that behavior of individuals can be explained to a great extent by their underlying personality traits. In this paper, we focus on predicting how the personality of YouTube video bloggers is perceived by their viewers. Our approach to personality recognition is multimodal in the sense that we use audio-video features, as well as textual (emotional and linguistic) features extracted from the transcripts of vlogs. Based on these features, we predict the extent to which the video blogger is perceived to exhibit each of the traits of the Big Five personality model. In addition, we explore 5 multivariate regression techniques and contrast them with a single target approach for predicting personality impression scores. All 6 algorithms are able to outperform the average baseline model for all 5 personality traits on a dataset of 404 YouTube videos. This is interesting because previously published methods for the same dataset show an improvement over the baseline for the majority of personality traits, but not for all simultaneously

    A multivariate regression approach to personality impression recognition of vloggers

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    Species discrimination of novel chloroplast DNA barcodes and their application for identification of Panax (Aralioideae, Araliaceae)

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    Certain species within the genus Panax L. (Araliaceae) contain pharmacological precious ginsenosides, also known as ginseng saponins. Species containing these compounds are of high commercial value and are thus of particular urgency for conservation. However, within this genus, identifying the particular species that contain these compounds by morphological means is challenging. DNA barcoding is one method that is considered promising for species level identification. However, in an evolutionarily complex genus such as Panax, commonly used DNA barcodes such as nrITS, matK, psbA-trnH, rbcL do not provide species-level resolution. A recent in silico study proposed a set of novel chloroplast markers, trnQ-rps16, trnS-trnG, petB, and trnE-trnT for species level identification within Panax. In the current study, the discriminatory efficiency of these molecular markers is assessed and validated using 91 reference barcoding sequences and 38 complete chloroplast genomes for seven species, one unidentified species and one sub-species of Panax, and two outgroup species of Aralia L. along with empirical data of Panax taxa present in Vietnam via both distance-based and tree-based methods. The obtained results show that trnQ-rps16 can classify with species level resolution every clade tested here, including the highly valuable Panax vietnamensis Ha et Grushv. We thus propose that this molecular marker to be used for identification of the species within Panax to support both its conservation and commercial trade

    Successful thrombectomy of top-of-the-basilar artery occlusion - difficult to detect in clinical practice: A case report

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    Top-of-the-basilar artery occlusion frequently causes infarction of the midbrain, thalamus, and portions of the temporal and occipital lobes as the vascular supply of these regions comes from the posterior communicating and posterior cerebral arterial tributaries of the basilar artery. Clinical signs include an array of visual, oculomotor, and behavioral abnormalities, usually without prominent motor dysfunction, which makes diagnosis challenging for those inexperienced with these sign. We describe a 59-year-old male presenting with acute ischemic stroke due to top-of-the-basilar artery occlusion. Despite attempting several paraclinical examinations relating the sudden coma with Glasgow Coma Scale of 6 points, the neuroimaging detected the large vessel occlusion that was difficult to recognize. After confirming top-of-the-basilar artery occlusion, the recanalization was realized immediately. The patient was discharged with good clinical recovery

    Usefulness of Hospital Admission Chest X-ray Score for Predicting Mortality and ICU Admission in COVID-19 Patients

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    We aimed to investigate the performance of a chest X-ray (CXR) scoring scale of lung injury in prediction of death and ICU admission among patients with COVID-19 during the 2021 peak pandemic in HCM City, Vietnam. CXR and clinical data were collected from Vinmec Central Park-hospitalized patients from July to September 2021. Three radiologists independently assessed the day-one CXR score consisting of both severity and extent of lung lesions (maximum score = 24). Among 219 included patients, 28 died and 34 were admitted to the ICU. There was a high consensus for CXR scoring among radiologists (κ = 0.90; CI95%: 0.89–0.92). CXR score was the strongest predictor of mortality (tdAUC 0.85 CI95% 0.69–1) within the first 3 weeks after admission. A multivariate model confirmed a significant effect of an increased CXR score on mortality risk (HR = 1.33, CI95%: 1.10 to 1.62). At a threshold of 16 points, the CXR score allowed for predicting in-hospital mortality and ICU admission with good sensitivity (0.82 (CI95%: 0.78 to 0.87) and 0.86 (CI95%: 0.81 to 0.90)) and specificity (0.89 (CI95%: 0.88 to 0.90) and 0.87 (CI95%: 0.86 to 0.89)), respectively, and can be used to identify high-risk patients in needy countries such as Vietnam
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