Among investors of cryptocurrencies there are supporters and detractors; this claims for the identification of the behavioral and socio-demographic factors that push to invest (or not) in cryptocurrencies. A survey has been administered to 275 Italian investors. Together with socio-demographic features (gender, income, age, and education), behavioral factors derived from the theory of planned behavior (attitude, subjective norm, and perceived control behavior) and from the financial behavior literature (illegal attitude, herding behavior, perceived risk, perceived benefit, and financial literacy) have been collected and analyzed. While attitude, illegal attitude, subjective norms, perceived behavioral control, herding behavior, and perceived risk have a positive impact on investors' intentions. Socio-demographic factors and financial literacy have no influence on the intention to invest in cryptocurrencies. This is the first study that comprehensively investigates the influence of behavioral and socio-demographic factors on the intention of investors to invest in cryptocurrencies.

The distributed generation (DG) connection into the distribution network may lead to significant changes of voltage on network because of changing power flow in system. This paper will propose some approaches to control the voltage for the network with any type of configuration: many loads, many feeders originated from one busbar and more than one DG, with the coordination between DG and utility. The two scenarios are carried out: one with no communication between DGs and utility, one-with the communication. For the first case, the paper presented the way to determine the referenced voltage on the secondary side of distribution substation. For the latest, the resolving is based on genetic algorithm (GA). The results of simulation indicate that proposed control methods can be applied well in Vietnamese conditions.