251 research outputs found

    MANAGEMENT OF PROFESSIONAL DEVELOPMENT ACTIVITIES FOR PRIMARY SCHOOL TEACHERS IN VINH LONG CITY, VINH LONG PROVINCE, VIETNAM

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    The study with the questionnaires investigated the present status of professional development management at three primary schools in Vinh Long City, Vinh Long Province, in the Mekong Delta region, South Vietnam including Chu Van An, Nguyen Hue, and Le Loi with 140 respondents, including 8 school managers and 132 teachers. This research aimed to survey the current situation of management of professional development (PD) training activities for teachers in primary schools in Vinh Long City, Vinh Long Province and to propose measures to manage professional training activities for teachers. The finding revealed that managing professional training activities for primary teachers needs in Vinh Long City, to ensure that the activities are both scientific and artistic. It needed to be carried out toward set plans and systems, ensuring proper implementation of principles, functions and timely and scientific inspection, evaluation and adjustment. It also requires skillful and flexible application of experience and accumulated knowledge in human-to-human relationships, which helps teachers have full knowledge and professional skills to perform well teaching and education work.  Article visualizations

    A novel consistent quality driven for JEM based distributed video coding

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    © 2019 by the authors. Distributed video coding (DVC) is an attractive and promising solution for low complexity constrained video applications, such as wireless sensor networks or wireless surveillance systems. In DVC, visual quality consistency is one of the most important issues to evaluate the performance of a DVC codec. However, it is the fact that the quality of the decoded frames that is achieved in most recent DVC codecs is not consistent and it is varied with high quality fluctuation. In this paper, we propose a novel DVC solution named Joint exploration model based DVC (JEM-DVC) to solve the problem, which can provide not only higher performance as compared to the traditional DVC solutions, but also an effective scheme for the quality consistency control. We first employ several advanced techniques that are provided in the Joint exploration model (JEM) of the future video coding standard (FVC) in the proposed JEM-DVC solution to effectively improve the performance of JEM-DVC codec. Subsequently, for consistent quality control, we propose two novel methods, named key frame quantization (KF-Q) andWyner-Zip frame quantization (WZF-Q), which determine the optimal values of the quantization parameter (QP) and quantization matrix (QM) applied for the key and WZ frame coding, respectively. The optimal values of QP and QM are adaptively controlled and updated for every key and WZ frames to guarantee the consistent video quality for the proposed codec unlike the conventional approaches. Our proposed JEM-DVC is the first DVC codec in literature that employs the JEM coding technique, and then all of the results that are presented in this paper are new. The experimental results show that the proposed JEM-DVC significantly outperforms the relevant DVC benchmarks, notably the DISCOVER DVC and the recent H.265/HEVC based DVC, in terms of both Peak signal-to-noise ratio (PSNR) performance and consistent visual quality

    Remote Working Burnout: Empirical Study from TOE and Technostress Model

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    Work stress and burnout negatively impact the individual and companies. Remote working exacerbates these issues due to the lack of company support and social interactions. Yet, research on identifying factors contributing to stress and burnout in remote workspaces and differentiating the components of stress and burnout in this context is limited. This work presents and empirically evaluates a conceptual framework, based on the Technology – Organization – Environment framework and the technostress theory, which aims to address these gaps. In particular, the model proposed here distinguishes between technostress, work stress, and burnout. Future work to examine the model will use a survey instrument for data gathering, as well as confirmatory factor analysis and partial least squares for analysis

    Meta-analysis of driving behavior studies and assessment of factors using structural equation modeling

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    The aim of this paper is to understand the factors that influence unsafe driving practices by examining published studies that utilized the Theory of Planned Behavior (TPB) to predict driving behavior. To this end, it reviews 42 studies published up to the end of 2021 to evaluate the predictive utility of TPB by employing a meta-analysis and structural equation model. The results indicate that these studies sought to predict 20 distinct driving behaviors (e.g., drink-driving, use of cellphone while driving, aggressive driving) using the original TPB constructs and 43 additional variables. The TPB model with the three original constructs is found to account for 32% intentional variance and 34% behavioral variance. Among the 43 variables researchers have examined in TPB studies related to driving behavior, this study identified the six that are commonly used to enhance the TPB model’s predictive power. These variables are past behavior, self-identity, descriptive norm, anticipated regret, risk perception, and moral norm. When past behavior is added to the original TPB model, it increases the explained variance in intention to 52%. When all six factors are added to the original TPB model, the best model has only four variables (perceived risk, self-identity, descriptive norm, and moral norm); this model increased the explained variance to 48%. The influence of the TPB constructs on intention is modified by behavior category and traffic category. The findings of this paper validate the application of TPB to predict driving behavior. It is the first study to do this through the use of meta-analysis and structural equation modeling

    Average symbol error rate analysis of reconfigurable intelligent surfaces-assisted free-space optical link over log-normal turbulence channels

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    Optical wireless communication (OWC) has attracted significant interest recently in academia and industry. Free-space optical (FSO) communication systems are where free space acts as a communication channel between transceivers that are line of sight (LOS) for the successful transmission of optical signals. The FSO transmissions through the atmosphere, nevertheless, bring significant challenges, besides the uncertainty of atmospheric channels, especially the signal fading due to the atmospheric turbulence, attenuation and pointing errors caused by the random beam misalignments between transceivers, signal obstruction due to buildings or trees can pre-vent the transmitted message to reach the destination. This study theoretically investigates the average symbol error rate (ASER) of reconfigurable intelligent surfaces (RIS) assisted FSO link over log-normal turbulence channels. The RIS effect is examined by considering the influence of link distance, transmitted optical power, and quadrature amplitude modulation (QAM) scheme on the ASER

    Greenhouse gas emissions from piggery and biogas digesters in the Red River Delta of Vietnam

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    High demand for pork consumption in Vietnam has led to a shift of pig production systems from smallholder to industrial-scale farms, particularly in the Red River Delta. This production intensification also produces massive manure and urine quantities, leading to water, air, and soil pollution. The use of biogas plants has been seen as efficient to achieve in the same time a decrease in pollution, and a provision of biogas resources and bio-organic fertilizers. However, increasing pig head density has been causing great pressure on biogas digesters, as their size is not big enough for treatments anymore. Inappropriate utilization and management of biogas digesters can not only cause losses from pig wastes, but also contributes to increase greenhouse gas (GHG) emissions such as carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). This case study aims to identify the role and contributions of biogas digesters to better manage the sources of GHG emissions from pig wastes for different types of pig farms. Four provinces of the Red River Delta were selected to test the pig waste management efficiency of biogas digesters and measure GHG emissions from these systems. The findings show that CO2, CH4 and N2O emission rates from pig manure are at least twice as much what is allowed under the Vietnam national technical regulation on ambient air quality. However, the GHGs emission rate does not significantly differ between smallholder and industrial-scale farms in the four surveyed provinces. Sampling position (between inside piggeries and outside the outlet of biogas digesters) did not affect significantly GHG emissions rate. These results confirm that the pig waste management of biogas digesters for both smallholder and industrial-scale pig farms is not efficient and that efforts need to be invested to mitigate GHG emissions in pig production. Reducing pig density per piggery is highly recommended. The modification of biogas digester structure to separate solid pig manure and urine should also be considered. Otherwise, the application of other alternative aerobic or anaerobic digestion technologies should also be encouraged and promoted. Biogas digesters in pig production have a significant role to play in Vietnam government’s mitigation strategies, as well as from the perspective of biosafety and animal husbandry policies

    Understanding the Efficacy and Safety of Stem Cell Therapy and CAR T-cell Therapy in Leukemia Patients

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    CAR T-cell therapy and Stem cell therapy are effective treatments with varying benefits, efficacy, and safety for patients with recurrent leukemia. CAR T-cell therapy and Stem cell therapy are both effective immunotherapies that use engineered cells to combat cancers. The implications of this study allow patients to understand the benefits and disadvantages of both therapies and paves the way for future advancement within immunotherapy. This review selected studies from reputable medical journals, clinical trials and peer-reviewed research published within the last five years obtained from multiple databases including PubMed, Wiley Online Library, and Google Scholar. We compared the efficacy and safety of CAR T-Cell therapy to Stem cell therapy in patients with leukemia using meta narrative principles to synthesize relevant information. Here we show that CAR T-cell therapy is a safer treatment option since its side effects such as cytokine release syndrome (CRS), neurotoxicity, and infections can be managed with secondary treatment. These treatment approaches include corticosteroids and supportive care aid in patient recovery within two weeks to a month. Compared to CAR T-cell therapy, Stem cell therapy has a higher risk of graft vs. host disease, suggesting that it is less effective for patients with recurrent leukemia. Furthermore, our results indicate that CAR T-cell therapy is a safer and more effective treatment for patients with relapsing leukemia. However, the combination of CAR T-cell therapy with Stem Cell therapy has shown to be the most effective method of treatment for patients with refractory leukemia.https://openworks.mdanderson.org/rmps/1009/thumbnail.jp

    A Study on a Model of Anchovy Solar

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    In central and southern coastal areas of Vietnam, annual yield of anchovy is enormous that leads the high demand for anchovy drying. Moreover, seafood in generally and anchovy in particularly brings more benefit for fishermen, especially dried anchovy as an exporting product is one of the main their income. The market requires that anchovy product has to be dried before packaging to export. There are many drying methods to process the anchovy but some problems might need to be solved such as the drying efficiency, the low product quality and sanitation, and the environmental annihilation. In order to using the profuse solar energy, a model for experiment investigation the anchovy dryer has been conducted in ThuDuc district, Hochiminh city with the anchovy caught from Kien giang and Baria-Vung tau province, southern Vietnam. The results indicate that solar energy is one of renewable energy which can be completely used for anchovy drying with high drying efficiency. The dried anchovy has good color, high quality, and especially it passes the requirements of food hygiene and environment protecting

    Seawater desalination using air gap membrane distillation-an experimental study on membrane scaling and cleaning

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    The connection between operating temperature and membrane scaling/cleaning during an air gap membrane distillation (AGMD) process of seawater has been systematically elucidated in this study. Experimental and mathematically simulated data demonstrate the profound influences of feed salinity and membrane scaling on water flux at various operating temperatures. Feed salinity exerted significant impacts on water flux at high operating temperatures because of aggravated polarization effects. Membrane scaling and the subsequent membrane cleaning efficiency were also strongly affected by operating temperatures. Indeed, membrane scaling was more severe and occurred at a lower water recovery when operating at 60-50 °C (feed-coolant temperature) compared to that at 35-25 °C. Moreover, membrane cleaning with fresh water and vinegar was less effective for the membrane scaled at 60-50 °C compared to 35-25 °C. Finally, membrane cleaning using vinegar was much more efficient than fresh water. Given the availability of vinegar at household level, vinegar cleaning can potentially be a low cost and readily accessible approach for MD maintenance for small scale seawater desalination applications in remote coastal communities
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