Toan Tran

Purpose Citizen engagement (CE) in public policy is increasingly considered to be an important feature of governance worldwide. The aim of this study is to explore the impact of e-government usage (EGU) on citizens’ engagement. In addition, the study investigates the mediating effect of government reputation (GR) and the moderating role of digital divide (DD) in EGU and citizens' engagement relationship. Design/methodology/approach Data were collected from 938 respondents in Vietnam with a random method. This study used the partial least squares – structural equation modeling method to examine hypotheses. Findings The results show that e-government and GR are critical determinants of CE. Furthermore, GR plays a mediating role in the relationship between e-government and CE. The results also show how DD moderates this nexus. Practical implications The findings of this study provide valuable evidence and implications. Public officials must improve the GR and administrative capacity as the determination for the CE. Moreover, the government should continually carry out policies to reduce the DD. Originality/value By investigating the mediating and moderating effects of GR and DD, this study has significantly contributed to advancing the body knowledge of e-government.

Tight control and multifactorial regulation of gene expression are important challenges in genetic engineering and are critical for the development of regulatory circuits. Meeting these challenges will facilitate transgene expression regulation and support the fine-tuning of metabolic pathways to avoid the accumulation of undesired intermediates. By employing the endoribonuclease Csy4 and its recognition sequence from Pseudomonas aeruginosa and manipulating 5'UTR of mRNA, we developed a two-component expression-repression system to tightly control synthesis of transgene products. We demonstrated that this regulatory device was functional in monocotyledonous and dicotyledonous plant species, and showed that it can be used to repress transgene expression by >400-fold and to synchronize transgene repression. In addition to tissue-specific transgene repression, this system offers stimuli-dependent expression control. Using a bioinformatics approach, we identified 54 orthologous systems from various bacteria, and then validated in planta the activity for a few of those systems, demonstrating the potential diversity of such a two-component repressor system.