Although the maintenance work of pavement is often planned based on MCI and FWD data, the repeated damages of pavement are observed at many places. This surface damage of pavement is partly originated by the weakness of subgrade, damage of the filled up ground and ground water. In order to avoid repeated maintenance works of pavement, the condition of earthfill structure should be evaluated by an easy logging technique from pavement surface. The automatic technology for surveys and evaluations of pavement and embankment by using surface wave logging and electric resistivity logging has been proposed. In this study, we tried to improve the pavement life by reinforcing the base course using geosynthetics for degraded pavement on the low embankment with multiple box culverts.

In recent years, smart lockers have been increasingly utilised in the last-mile delivery stage of e-commerce. Although this technological advance has received significant scientific attention, especially in developed countries, little is known about the general behaviour of Smart Locker users. This study aimed to explore the impact of smart locker use on customer satisfaction with online shopping experience. We used structural equation modelling to analyse data collected from 442 smart locker users in Vietnam. The results revealed that convenience, privacy and security, and reliability attributes significantly impacted the satisfaction of smart locker users through the mediators of perceived value and transaction costs. These findings are expected to reinforce the utilised theories and enrich theoretical research on self-service technologies in last-mile delivery and their influence on consumer behaviour.

Coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization in March 2020 and since then it has spread to almost every country around the world. Vaccines against COVID-19 are considered an essential measure to curb this pandemic. However, side effects, including local and systemic reactions, after administering the COVID-19 vaccine have been defined, and some side effects have been reported. We present two cases of Guillain-Barré Syndrome (GBS) after receiving the ChAdOx1 nCoV-19 vaccine (Oxford- AstraZeneca). Both cases were admitted to the 108 Military Central Hospital, Vietnam, and received plasmapheresis therapy with satisfactory recovery after treatment.

Along with the strong development of camera networks, a video analysis system has been become more and more popular and has been applied in various practical applications. In this paper, we focus on person re-identification (person ReID) task that is a crucial step of video analysis systems. The purpose of person ReID is to associate multiple images of a given person when moving in a non-overlapping camera network. Many efforts have been made to person ReID. However, most of studies on person ReID only deal with well-alignment bounding boxes which are detected manually and considered as the perfect inputs for person ReID. In fact, when building a fully automated person ReID system the quality of the two previous steps that are person detection and tracking may have a strong effect on the person ReID performance. The contribution of this paper are two-folds. First, a unified framework for person ReID based on deep learning models is proposed. In this framework, the coupling of a deep neural network for person detection and a deep-learning-based tracking method is used. Besides, features extracted from an improved ResNet architecture are proposed for person representation to achieve a higher ReID accuracy. Second, our self-built dataset is introduced and employed for evaluation of all three steps in the fully automated person ReID framework.

PurposeThis study aims to investigate the mediating role of perceived person-organization (P-O) fit in the relationship between workplace incivility and affective organizational commitment (AOC) and the moderating effect of moral identity. The context is set in the organizational socialization process of externally hired managers.Design/methodology/approachA theoretical model was developed based on social identity theory. With the help of Alumni offices of 4 Master of Business Administration (MBA) programs in Vietnam, 461 MBA graduates recently hired as managers were invited to participate in the study. A time-lagged survey was conducted and resulted in data from 386 participants. Hypotheses were tested using latent moderated structural equation method (LMS).FindingsPerceived P–O misfit partially mediated the negative effect of workplace incivility on managers' AOC. The moderating impact of moral identity was also found such that the positive association between workplace incivility and perceived P-O misfit was stronger when moral identity was higher.Research limitations/implicationsThis study's limitations are threefold. First, the relatively new appearance of MBA programs in Vietnam made it difficult for us to conduct longitudinal research. Second, this study focused on MBA graduates as externally hired managers, a population that, as mentioned earlier, comes from a polite and respectful environment. Third, the current study mainly used self-evaluation to measure factors which might not be fully objective and reflect externally hired managers' situation. Future research could strengthen this method by equipping it with the evaluations of other organization members.Practical implicationsA clash of identities generated by value incongruence when externally hired managers experience incivility should be recognized and mitigated during socialization. More attention should be paid to managers with moral identities.Originality/valueThe study extends the organizational socialization literature in two ways. The first way is by elucidating how a negative organizational factor – workplace incivility – leads to socialization failures. The second way is by exploring the impacts of relatively new self-identity facets, including MBA graduates as externally hired managers and moral identity.