A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data

The increased availability of large-scale trajectory data around the world provides rich information for the study of urban dynamics. For example, New York City Taxi Limousine Commission regularly releases source-destination information about trips in the taxis they regulate. Taxi data provide information about traffic patterns, and thus enable the study of urban flow -- what will traffic between two locations look like at a certain date and time in the future? Existing big data methods try to outdo each other in terms of complexity and algorithmic sophistication. In the spirit of "big data beats algorithms", we present a very simple baseline which outperforms state-of-the-art approaches, including Bing Maps and Baidu Maps (whose APIs permit large scale experimentation). Such a travel time estimation baseline has several important uses, such as navigation (fast travel time estimates can serve as approximate heuristics for A search variants for path finding) and trip planning (which uses operating hours for popular destinations along with travel time estimates to create an itinerary).Comment: 12 page

An Analysis of Impact of Pension Insurance on Saving and Consumption Behaviors

This paper uses data from China’s health and pension check (CHARLS) that was obtained in 2010 and also employs the OLS regression method to analyze the impact of pension insurance on savings and consumption, and to highlight the difference created by different elderly security systems. The research results show that part of the accumulated old-age insurance system still has simulative and crowding out effects on consumption and savings respectively, and moreover the impact resulting from different types of pension insurance on people’s saving and consumption is totally different. The above situation demonstrates that promoting the endowment insurance system actively is helpful for increasing consumption and stimulating the economy. More attention should be paid to the merger of different endowment insurance systems in the reform of endowment insurance, narrowing the difference between the different types of insurance, so as to lower the risk expectation and promote social fairness and justice. Key words: Endowment insurance; Saving; Consumptio

Exploring the Impact of Work Fatigue on the Relationship between Job Embeddedness and Turnover Intention: A Survey Based on the Chinese Internet Industry

This study uses a quantitative research method and conduct a questionnaire survey for 307 employees of Chinese internet companies. The effects of job embeddedness and work fatigue (physical fatigue, mental fatigue and emotional fatigue) on turnover intention were investigated, as well as the moderating effect of work fatigue on the relationship between job embeddedness and turnover intention. It finds that job embeddedness has a significant negative effect on intention to leave, and physical fatigue, psychological fatigue and emotional fatigue all have a significant positive effect on intention to leave, but physical fatigue, psychological fatigue and emotional fatigue did not have a statistically significant moderating effect on the relationship between job embeddedness and turnover intention. The results also show that the turnover intention varies depending on the department in which the employee worked, with product and operations departments having a significantly higher intention to leave than administration and human resources departments, etc

Graph Few-shot Learning via Knowledge Transfer

Towards the challenging problem of semi-supervised node classification, there have been extensive studies. As a frontier, Graph Neural Networks (GNNs) have aroused great interest recently, which update the representation of each node by aggregating information of its neighbors. However, most GNNs have shallow layers with a limited receptive field and may not achieve satisfactory performance especially when the number of labeled nodes is quite small. To address this challenge, we innovatively propose a graph few-shot learning (GFL) algorithm that incorporates prior knowledge learned from auxiliary graphs to improve classification accuracy on the target graph. Specifically, a transferable metric space characterized by a node embedding and a graph-specific prototype embedding function is shared between auxiliary graphs and the target, facilitating the transfer of structural knowledge. Extensive experiments and ablation studies on four real-world graph datasets demonstrate the effectiveness of our proposed model.Comment: Full paper (with Appendix) of AAAI 202

THE PERSUASIVE IMPACT OF EMOTICONS IN ONLINE WORD-OF-MOUTH COMMUNICATION

The present research proposes a conceptual framework to examine the effect of emoticons on online WOM persuasion. Using a laboratory experiment, we demonstrate that emoticons enhance recipients’ empathy for the communicator, and this effect is moderated by message valence. Enhanced empathy heightens perceived trustworthiness of the communicator and perceived quality of the message, both of which lead to an increase in the persuasiveness of the WOM message. We conclude by discussing the contributions of this research and identifying the directions for future research

Arabidopsis SWR1-associated protein methyl-CpG-binding domain 9 is required for histone H2A.Z deposition.

Deposition of the histone variant H2A.Z by the SWI2/SNF2-Related 1 chromatin remodeling complex (SWR1-C) is important for gene regulation in eukaryotes, but the composition of the Arabidopsis SWR1-C has not been thoroughly characterized. Here, we aim to identify interacting partners of a conserved Arabidopsis SWR1 subunit ACTIN-RELATED PROTEIN 6 (ARP6). We isolate nine predicted components and identify additional interactors implicated in histone acetylation and chromatin biology. One of the interacting partners, methyl-CpG-binding domain 9 (MBD9), also strongly interacts with the Imitation SWItch (ISWI) chromatin remodeling complex. MBD9 is required for deposition of H2A.Z at a distinct subset of ARP6-dependent loci. MBD9 is preferentially bound to nucleosome-depleted regions at the 5' ends of genes containing high levels of activating histone marks. These data suggest that MBD9 is a SWR1-C interacting protein required for H2A.Z deposition at a subset of actively transcribing genes