We report on an experiment comparing compulsory and voluntary voting mechanisms. Theory predicts that these different mechanisms have important implications both for the sincerity of voting decisions and for the participation decisions of voters, and we find strong support for these theoretical predictions in our experimental data. Voters are able to adapt the sincerity of their votes or their ...

In this paper,we examine the potential differential effects of two types of interpersonal trust (sincerity-based trust and ability-based trust) on knowledge sharing in virtual teams in China. Our analysis suggests that sincerity-based trust is more likely to affect a virtual team member’s propensity to transfer explicit knowledge to his or her teammates, while ability-based trust seems to have ...

This article deals with some aspects of the implementation open science principles in different countries and problems society, particular scientific community, process transition to access depending on level economic development country. Attention is also paid how a change cultural paradigm may affect communication publication research results. Until now, around world, they have been subject r...

Reflection through writing is an integral element of service learning courses. As Bringle and Hatcher say, “Service learning deliberately integrates community service activities with educational objectives” (1999, 113), and “writing is a special form of reflection through which new meaning can be created, new understanding of problems can become circumscribed, and new ways of organizing experie...

Our study investigates the potential of modeling the vocal expression of human attitudes based on a limited set of prosodic and voice quality parameters and their subsequent synthetic realization. Four attitudes (uncertainty, sincerity, surprise and doubt) were taken into account. For two utterances, a set of acoustic prosodic (F0, intensity, duration) and voice quality parameters (jitter, shim...

Transfer learning (TL) involves leveraging information from sources outside the domain at hand for enhancing model performances. Popular TL methods either directly use the data or adapt the models learned on out-of-domain resources and incorporate them within in-domain models. TL methods have shown promise in several applications such as text classification, crossdomain language classification ...