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BackgroundPorcine epidemic diarrhoea (PED) is an emerging disease in pigs that causes massive economic losses in the swine industry, with high mortality in suckling piglets. Early identification of PED virus (PEDV)-infected herd through surveillance or monitoring strategies is necessary for mass control of PED. However, a common working diagnosis system involves identifying PEDV-infected animals individually, which is a costly and time-consuming approach. Given the above information, the thrusts of this study were to develop a real-time fluorescent reverse transcription loop-mediated isothermal amplification (RtF-RT-LAMP) assay and establish a pooled testing system using faecal sample to identify PEDV-infected herd.ResultsIn this study, we developed an accurate, rapid, cost-effective, and simple RtF- RT-LAMP assay for detecting the PEDV genome targeting M gene. The pooled testing system using the RtF-RT-LAMP assay was optimized such that a pool of at least 15 individual faecal samples could be analysed.ConclusionsThe developed RtF-RT-LAMP assay in our study could support the design and implementation of large-scaled epidemiological surveys as well as active surveillance and monitoring programs for effective control of PED.Electronic supplementary materialThe online version of this article (10.1186/s12917-018-1498-9) contains supplementary material, which is available to authorized users.

Using behavioral factors (mood, overconfidence, underreaction, overreaction, and herding behavior) as proxy variables in the Vietnamese stock market, this article tries to explore the link between investor demographics (gender, age, experience, and educational ability) and their investment decisions. This study compiles information from a structured questionnaire survey of 400 local, international, institutional, and individual investors in Vietnam. It employed partial multiple regression to examine how investors' demographic variables affected their investment choices using behavioral traits as mediator variables. According to the results, investor emotion, overconfidence, over/underreaction, and herd behavior all have a large impact on investing decisions. Additionally, investors' investing selections are significantly and favorably influenced by their age, gender, and degree of education. Although experience does not have a significant effect on financial decisions, investors start to ignore emotional aspects as they become more experienced.

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