Search results

The strength and stiffness of steel deteriorate rapidly at elevated temperatures. Thus, the characteristics of steel structures exposed to fire have been concerned in recent years. Most studies on the fire response of steel structures were conducted at uniformly distributed temperatures. This study aims to evaluate the buckling capacity of steel H-beams subjected to different loading conditions under non-uniform heating.

A numerical investigation was conducted employing finite element analysis software, ABAQUS. A comparison between the numerical analysis results and the experimental data from previous studies was conducted to verify the beam model. Simply supported beams were loaded with several loading conditions including one end moment, end equal moments, uniformly distributed load and concentrated load at midspan. The effects of initial imperfections were considered. The buckling capacities of steel beams under fire using the existing fire design code and the previous study were also generated and compared.

The results showed that the length-to-height ratio and loading conditions have a great effect on the buckling resistance of steel beams under fire. The capacity of steel beams under non-uniform temperature distribution using the existing fire design code and the previous study can give unconservative values or too conservative values depending on loading conditions. The maximum differences of unconservative and conservative values are −44.5 and 129.2% for beams subjected to end equal moments and one end moment, respectively.

This study provides the buckling characteristics of steel beams under non-uniform temperature considering the influences of initial imperfections, length-to-height ratios, and loading conditions. This study will be beneficial for structural engineers in properly evaluating structures under non-uniform heating conditions.

By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students’ acceptance of e-learning during the Covid-19 period.

A bilingual questionnaire in English and Vietnamese was delivered. It was pre-tested on 30 participants before it was finalized. The authors first reviewed the measurement model and made adjustments to the theoretical TAM model. Then the adjusted TAM was used to investigate the relationships of the constructs in the model.

The results of the structural model show that computer self-efficacy (CSE) has a positive impact on perceived ease of use (PEOU). There is also a positive relationship between system interactivity (SI) and PEOU. Surprisingly, the authors documented that PEOU has no significant impact on students’ attitudes (ATT). The results show that SI can moderately affect ATT. Finally, it is noted that the social factor (SF) directly affects the student’s attitudes (ATT).

This study contains three limitations. First, as this study only focuses on undergraduate programs, readers should be careful in applying the findings and/or implications of this study to other education levels such as K-12, vocational training and postgraduate programs. Second, the findings are generated within the context of one type of e-learning, conducted via Google Meet. Therefore, future research is needed to provide further validation and comparison across other forms of e-learning. Finally, to further prevent the common bias problem, future research should use both five-point and seven-point Likert scales for the response options in the survey, as well as use negatively worded items. This will help prevent respondents from providing similar answers to all questions.

This study has both theoretical and practical implications. From a theoretical perspective, the study can provide a solid framework for similar studies. From a practical perspective, this study offers implications for governments and universities in the process of adopting e-learning, given that the Covid-19 pandemic is currently in its second and more dangerous wave.

Digital technologies can enable engagement online as well as in physical infrastructures like large lecture theatres. Avoiding a tech-first approach to curriculum design, this article reviews a key resource for the use of a pedagogy-first, co-design approach in a specific instance of developing curriculum for connected learning at scale.

This article summarises key guidance for applying a co-design approach to a large educational transformation project (connected learning at scale) and reflects on the application in the UK (a developed economy) and in Vietnam (one of the fastest growing economies).

The guidance is found to reflect similar co-development processes in the UK and Vietnam, but adds additional layers of infrastructure and support to enable rich co-design processes. These are seen as proportionate given the impact of large-scale curricula.

This is the first time a review has been conducted from the perspective of different countries.

During the COVID-19 pandemic, mass media play a vital role in containing the outbreak of the virus by quickly and effectively delivering risk communication messages to the public. This research examines the effects of risk communication exposure on public understanding and risk perception of COVID-19 and public compliance with health preventive measures.

Data from Vietnam during COVID-19 social distancing and path analysis model are used for empirical analysis.

This analysis finds that exposure to risk communication in mass media encourages public compliance directly and indirectly through the mediating roles of public understanding and risk perception. Further investigations also find that exposure to risk communication in both online media and traditional media facilitates public compliance. In addition, exposure to risk communication in online media only raises public risk perception, whereas exposure to risk communication in traditional media only raises public understanding.

This research implies that traditional and online media should be combined to increase the efficiency and effectiveness of government risk communication work.

This research is among the first attempts that examine the role of mass media (both traditional and online) in enhancing public compliance with preventive measures directly and indirectly through the mediating roles of public risk perception and understanding.

This study aims to analyze the motivations underlying information usefulness, attitude and acceptance of health information related to coronavirus disease 2019 (COVID-19) avoidance based on the information acceptance model (IAM) and the elaboration likelihood model (ELM).

This study conducted a quantitative approach using survey that generated 364 valid responses. Structural equation modeling was applied to analyze the data and evaluate the hypotheses.

The results of this study showed that the determinants of information usefulness are argument quality (comprising accuracy and timeliness) and peripheral route (comprising credibility and relevance), whereas no significant relationship was found between completeness and information quantity and information usefulness. Further analysis indicated that attitude and information usefulness significantly affect health information acceptance to COVID-19 avoidance.

Using ELM and IAM, an explanation of health information acceptance in the salient pandemic context was given. This study contributed to the current literature by offering insights into attitude and information usefulness for information acceptance. The validation of the model was strengthened by identifying the effects of argument quality and peripheral route attributes on information usefulness, which is stated to make contributions to the earlier literature.

Practitioners should strive to understand the facilitators regarding argument quality and peripheral routes to broaden information usefulness. The findings of this study are helpful for practitioners to implement communication campaigns that foster attitude and health information acceptance in the COVID-19 pandemic as well as in similar disease situations.

This study provides individuals and organizations with necessary information about the importance of mobile applications (m-applications) in distributing online information and about reliable guidelines for the implementation of disease avoidance to improve their health status.

Existing studies investigated users’ health information acceptance in some contexts related to general disease, but less is known about this behavior among young individuals via m-applications at the moment of COVID-19 and in emerging economies. This study identifies the efforts made by the relationship between information and technological diffusion to help individuals surmount difficulties in times of crisis.

The purpose of this paper is twofold: first, to investigate strategies that external stakeholders can employ to affect construction project outcomes and, second, to identify essential requirements for utilising each strategy.

A new theoretical framework of stakeholder influence strategies was proposed and applied. The research design is a multi-case study, comprising four cases in the construction industry in Vietnam.

Seven specific strategies were found, including inputs withholding, inputs compromising, communication, direct action, coalition building, conflict escalation and credibility building. When possessing project inputs, stakeholders can affect a project directly via a withholding or compromising strategy. Communication is available to those who have basic communicating skills; however, direct action is only employed by groups that include a large number of members. Objectors must have common interests or goals with their potential allies for using coalition building. Conflict escalation is restricted to communities having distinctive characteristics which can be used to create new problems sensibly, while credibility building is used by parties possessing adequate resources and expertise.

This study’s generalisability may be limited by the main source of data and the types of projects in the selected cases.

This study provides directions for project managers to predict stakeholder influence by taking project inputs and utilisation requirements of the strategies into consideration.

This study is one of the first investigations on stakeholder-attributes-related requirements for utilising influence strategies in projects.

The purpose of this paper is to investigate borrowing motivation, credit access barriers and their impacts on income of smallholder farmers engaging in cinnamon value chain development in Northwestern Vietnam.

A multistage sampling technique using a structural questionnaire and in-depth interviews was applied for collecting primary data from farmers and relevant stakeholders. The Propensity Score Matching was employed to analyze access barriers and examine whether relaxing these barriers can improve farmer income. To deal with the issue of model uncertainty and further increase the robustness of results, Bayesian model average and the bootstrapping approach were applied.

To fulfill the certain quality standards of cinnamon products which are later used in the medicinal and food industry, farmers as primary producers need credit for intensive investment to increase the value of their products. Still, there are 25.36 percent of farmers who have access constraints to formal credit. In the credit received group, 24.56 percent have not received full credit as demanded. Access problems are relevant to lack of collateral, lack of bank account holdings, inconvenient access to roads, weak chain linkage and limited organic farming. Removing credit access barriers can improve the income for farmers from cinnamon farming activities.

More detailed information on the conditions under which credit serves a more important role in creating value addition for cinnamon products can help the government establish more effective credit policies.

Great attention should be paid to smallholder farmers as primary producers in the chain for sustainable value chain development in developing and emerging economies. Policy interventions should facilitate access to bank accounts, speed up the process of granting residential land use certificates, certify organic farming and upgrade the road system. Strengthening the chain linkage can enhance smallholder farmers’ capacity to obtain credit through value chain lending development.

Empirical studies on agricultural credit from the perspective of value chain development remain scarce. A better understanding of credit access constraints allows for the positing of recommendations for policy makers to facilitate value chain lending and a medicinal plant-based agro-forestry system in similar situations.

Purpose: To explore emotional support, daily housework assistance, and economic support for older adults provided by the Vietnamese family within the context of the impacts of socio-economic, demographic, and other factors.

Methodology: (1) The researchers used data from censuses taken from 1989 to 2019; national surveys of Internal Migration, Labor and Employment and other topics; and recent large sample sociological surveys (2) adapted a modified Diamond Care Model (Ochiai, 2009) to analyze effects of the characteristics of older adults; and of the country’s laws, policies, and socio-economic changes, on the families’ caregiving activities supporting the older adults.

Findings: The family is still the most important institution providing care for older adults in Viet Nam. Most older people live with their children and see this as an age-old security solution despite differences related to lifestyles and interests. However, when the average number of working-age people per older person decreases, as older adults live longer, household sizes are smaller, and there is increased large migration, the demand for non-family caregiving for older adults will increase. Since social services to help meet this demand are limited, the traditional family support system for the elderly in Viet Nam will face many challenges as families try to assure the quality of care needed in the very near future.

Value: This chapter shows systematically a relationship between elderly care in the Vietnamese family and socio-economic, demographic, and associated factors based on comprehensive data sources. The results can help us think about how to create an appropriate future model for taking care of older adults in Viet Nam that combines the efforts of families and the support of comprehensive social policies by the community.

During the coronavirus disease 2019 (COVID-19) pandemic, public health risk communication has been a vital work. Students account for a large proportion of the population and are often highly mobile; thus, they face a high risk of contagion and spreading the disease. Therefore, risk communication to this group during the pandemic has been essential. This research examines the relationship between risk communication to students and their appropriate behaviors (compliance with COVID-19 preventive measures and COVID-19 information sharing).

This research used structural equation model (SEM) and generalized structural equation model (GSEM) to analyze the data collected from students during the COVID-19 pandemic.

The findings revealed that risk communication in mass media was positively associated with students' compliance with preventive measures and sharing pandemic-related information. Additionally, their compliance behavior was positively associated with their information-sharing behavior.

This research offers some implications regarding the containment of a highly-infectious virus, especially for the context when the risk of outbreak is high and an effective vaccine is not available, by focusing on risk communication and compliance and information-sharing behaviors.

This research is one of the early attempts to examine the risk communication to students, their compliance with preventive measures and their information-sharing behavior during a pandemic.

The evolution of technologies has unleashed a wealth of challenges by generating massive amount of data. Recently, biological data has increased exponentially, which has introduced several computational challenges. DNA short read alignment is an important problem in bioinformatics. The exponential growth in the number of short reads has increased the need for an ideal platform to accelerate the alignment process. Apache Spark is a cluster-computing framework that involves data parallelism and fault tolerance. In this article, we proposed a Spark-based algorithm to accelerate DNA short reads alignment problem, and it is called Spark-DNAligning. Spark-DNAligning exploits Apache Spark ’s performance optimizations such as broadcast variable, join after partitioning, caching, and in-memory computations. Spark-DNAligning is evaluated in term of performance by comparing it with SparkBWA tool and a MapReduce based algorithm called CloudBurst. All the experiments are conducted on Amazon Web Services (AWS). Results demonstrate that Spark-DNAligning outperforms both tools by providing a speedup in the range of 101–702 in aligning gigabytes of short reads to the human genome. Empirical evaluation reveals that Apache Spark offers promising solutions to DNA short reads alignment problem.