Emerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services. Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.
Computer systems designed to support teamwork are environments that enable and enhance collaboration among users. These systems, named groupware, incorporate techniques that facilitate communication and coordination among team members to improve group performance. However, as not all team members are identical, it is important to study users' characteristics to build more productive teams.Team Roles Theory allows obtaining the best possible performance taking into account individual skills, combining the weaknesses of each role with the strengths of other team members. Therefore, it is essential in group formation to consider mind the role each member is capable of playing. Currently, each team member has to complete lengthy questionnaires to determine his team role.We propose an approach for automatic detection of team roles from the observation of user interactions in CSCW systems. Particularly, we apply Artificial Intelligence to obtain the team role that best suits a user's characteristics and behaviours. To achieve this, the performance of various classification algorithms was analyzed. The results show that our approach can detect team roles with high degrees of precision.
We determine the forms of the nontrivial idempotents in the ring of 2 × 2 matrices over the polynomial rings Zpq[x] and Z p 2 [x], where p and q are any primes. Any such idempotent in the stated rings will be of a form in our list. Our work generalizes the results of Kanwar, Khatkar and Sharma (2017) who identified the forms of idempotents in M 2 (Z 2p [x]) and M 2 (Z 3p [x]).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.