Coalescence of Carbon Atoms on Cu (111) Surface: Emergence of a Stable Bridging-Metal Structure Motif

By combining first principles transition state location and molecular dynamics simulation, we unambiguously identify a carbon atom approaching induced bridging metal structure formation on Cu (111) surface, which strongly modify the carbon atom coalescence dynamics. The emergence of this new structural motif turns out to be a result of the subtle balance between Cu-C and Cu-Cu interactions. Based on this picture, a simple theoretical model is proposed, which describes a variety of surface chemistries very well

MRILDU: An Improvement to ILUT Based on Incomplete LDU Factorization and Dropping in Multiple Rows

We provide an improvement MRILDU to ILUT for general sparse linear systems in the paper. The improvement is based on the consideration that relatively large elements should be kept down as much as possible. To do so, two schemes are used. Firstly, incomplete LDU factorization is used instead of incomplete LU. Besides, multiple rows are computed at a time, and then dropping is applied to these rows to extract the relatively large elements in magnitude. Incomplete LDU is not only fairer when there are large differences between the elements of factors L and U, but also more natural for the latter dropping in multiple rows. And the dropping in multiple rows is more profitable, for there may be large differences between elements in different rows in each factor. The provided MRILDU is comparable to ILUT in storage requirement and computational complexity. And the experiments for spare linear systems from UF Sparse Matrix Collection, inertial constrained fusion simulation, numerical weather prediction, and concrete sample simulation show that it is more effective than ILUT in most cases and is not as sensitive as ILUT to the parameter p, the maximum number of nonzeros allowed in each row of a factor

Passive or Active: Understanding Consumers’ Behavioral Responses to Online Advertising

Approach and avoidance are two major types of behavioral responses when consumers encounter interferences caused by online advertising. This paper argues that approach-avoidance is not the only dimension from which researchers can examine behavioral responses toward online advertising. The inclusion of the active-passive behaviors dimension enriches the understanding of consumers’ coping strategies. Active and passive behaviors differ from each other by the intensity of coping efforts. Active behavioral responses imply that consumers act upon online ads and make efforts to approach or avoid them. Passive behavioral responses indicate that consumers make little efforts to change the current status, and would rather approach or avoid in a passive way. Data was collected through an online survey by asking participants to recall their experiences with online ads and their behavioral responses. We found that the effects of ad design characteristics (content, form, and behavior) on consumers’ behavioral responses differ across two-dimensions: Approach-Avoidance and Active-Passive. In addition, these effects also vary when consumers have different views (negative vs. positive) of the online ads. The contribution of this study lies in suggesting the two-dimensional view of studying consumers’ responses toward online ads and in deepening our understanding of consumer behavior in dealing with digital artefacts in general