Two Rules on the Protein-Ligand Interaction

So far, we still lack a clear molecular mechanism to explain the protein-ligand interaction on the basis of electronic structure of a protein. By combining the calculation of the full electronic structure of a protein along with its hydrophobic pocket and the perturbation theory, we found out two rules on the protein-ligand interaction. One rule is the interaction only occurs between the lowest unoccupied molecular orbitals (LUMOs) of a protein and the highest occupied molecular orbital (HOMO) of its ligand, not between the HOMOs of a protein and the LUMO of its ligand. The other rule is only those residues or atoms located both on the LUMOs of a protein and in a surface pocket of a protein are activity residues or activity atoms of the protein and the corresponding pocket is the ligand binding site. These two rules are derived from the characteristics of energy levels of a protein and might be an important criterion of drug design

Integer colorings with forbidden rainbow sums

For a set of positive integers $A \subseteq [n]$, an $r$-coloring of $A$ is rainbow sum-free if it contains no rainbow Schur triple. In this paper we initiate the study of the rainbow Erd\H{o}s-Rothchild problem in the context of sum-free sets, which asks for the subsets of $[n]$ with the maximum number of rainbow sum-free $r$-colorings. We show that for $r=3$, the interval $[n]$ is optimal, while for $r\geq8$, the set $[\lfloor n/2 \rfloor, n]$ is optimal. We also prove a stability theorem for $r\geq4$. The proofs rely on the hypergraph container method, and some ad-hoc stability analysis.Comment: 20 page

Eye Movements as Deception Indicators in Online Video Chatting

Online video chat is emerging as one of the common forms of computer-mediated communication (CMC). It can also be easily exploited by deceiver for persuasive conversation. Research on deception cues in CMC is gaining increasing attention in recent years but has largely ignored this new medium. This study aims to investigate the effect of eye movement behavior in the detection of deception in online video chatting. A laboratory experiment is conducted to test pupil dilation and blinking rate as possible cues to online deception. During the study, the eye movement behavior of participants was captured using an eye tracking system. The preliminary results confirmed the effect of pupil dilation but did not yield any significant effect for blinking rate

Intended Deception in the Virtual World

This study explores how people intend to deceive in the virtual world. Previous research has focused the intent and behavior of online deception, but has rarely looked into specific aspects of online deception including strategy, magnitude, and seriousness. We answered research questions about people’s selection of deception strategies, perceived seriousness of deception, and magnitude of deception in the virtual world via a survey study. Additionally, we examined possible influence of age and gender on deception. The findings are interesting and offer implications for designing deception detection strategies

A Critical Review of the Role of User Participation in IS Success

Despite the widely held view that systems are more likely to be successful if users contribute during systems design and development, the exact nature of the relationship between user participation and system outcomes remains unclear. By conducting a systematic review of the related literature, we synthesized the findings of 46 empirical studies, explained the mixed results, and identified issues for future research

Eye Gazing Behaviors in Online Deception

Psychophysiological behaviors of deceivers have been used as an effective leakage channel of face-to-face deception. Among various psychophysiological behaviors, eye movement has been identified as one of the most reliable sources of deception behavior in face-to-face communication. However, empirical studies of eye movement behavior in online deception remain scarce. In this research, we investigated eye gazing behaviors of deceivers in online video chatting. Based on the findings of previous deception studies and the unique characteristics of online video chatting, we hypothesized that online deception has an impact on eye gazing behaviors. In addition, we innovatively operationalized eye gazing behaviors in terms of areas of interest. We conducted a lab-based experiment to test the hypotheses. The results supported the effect of deception on eye gazing behaviors. The findings of this study provide insights on how to improve the performance of online deception detection and how to apply eye tracking technologies to understand emerging human behaviors in online communication

A Text-based Model for Identifying Online Trust Relationships

Trust has been a long-standing issue in online communities and is gaining importance with the popularity of online social networks. Traditional trust models theorize and explain trust, but they do not directly provide operationalization of trust relationships. In view that the text is the dominant medium of online communication, this paper develops a text-based model for identifying online trust relationships. Building on organizational trust models, social exchange theory, and speech-act theory, the proposed model conceptualizes trust relationship as a sequence of speech acts. The model is validated with the data collected from a real-world online community. This research not only creates a text-based method for identifying online trust but also lays the groundwork for automated analysis of online trust