This study examined the predictive effects of moral competence, prosocial norms and positive behavior recognition on school misbehavior among Chinese junior secondary school students. Results of multiple regression analysis showed that students were more likely to misbehave in school when they had lower levels of moral competence and prosocial norms, and when they perceived their positive behav...

Causal-consistent reversible debugging is an innovative technique for concurrent systems. It allows one to go back in the execution focusing on actions that most likely caused a visible misbehavior. When such action selected, debugger undoes it, including all and only its consequences. This operation called causal-consistent rollback. In this way, user can avoid being distracted by of other, un...

Proteins provide remarkably diverse functionality in living systems by interacting and self-assembling together with other proteins into complexes, which represent key components of the nano-scale machinery of life (1). Such self-assembly processes generate intricate structures of considerable complexity that can perform a wide variety of functional roles, which range from generating motion to ...

Mobile application markets facilitate the distribution of applications and thus help developers advertise their work and customers find useful applications. In addition, the operators of mobile application markets can control the quality and the content of the applications. These markets are growing rapidly with more than 300’000 application in the App Store of Apple and more than 100’000 in th...

Distributed reputation systems are a self-organizing means of supporting trusting decisions. In general, the robustness of distributed reputation systems to misbehavior is evaluated by the means of computer based simulation. However, the fundamental issue arises of how to anticipate kinds of successful misbehavior. Existing work in this field approaches this issue in an ad-hoc manner. Therefore...

We were inspired by the role of co-stimulation in the Biological immune system (BIS). We propose and evaluate an algorithm for energy efficient misbehavior detection in ad hoc wireless networks. Besides co-stimulation, this algorithm also takes inspiration from the capability of the two vital parts of the BIS, the innate and the adaptive immune system, to react in a coordinated way in the prese...

Data trustworthiness is a crucial issue in real-world participatory sensing applications. Without considering this issue, different types of worker misbehavior, especially the challenging collusion attacks, can result in biased and inaccurate estimation and decision making. We propose a novel trust-based mixture of Gaussian processes (GP) model for spatial regression to jointly detect such misb...