An Investigation of the Applicability of the Uses and Gratifications Theory for Providing Insight into e-Tourists’ Use of Smartphones

Despite the previous smartphone research in the context of travel and tourism, there is limited research based on a strong theoretical background that seeks to understand how tourists are motivated and satisfied via smartphone use. This study extended previous studies by systematically investigating and quantitatively measuring how and to what extent tourists are gratified (satisfied) by the use of smartphones during their trips based on the Uses and Gratifications Theory. According to this theory, individuals choose a media platform with the anticipation that it will aid them in realizing a specific intention, the satisfaction of this need being referred to as gratification (Green 2014; Logan, 2017; Stacks & Salwen, 2009). This study investigated four constructs in terms of antecedents (i.e., motivations of using smartphones by tourists) and consequences (i.e., satisfaction with smartphones use by tourists, satisfaction referred to as gratifications). This study adopted the Uses and Gratifications Theory as a theoretical framework to explore the use of smartphones by tourists and to measure quantitatively their touristic satisfaction. U&G motivations (Social Interaction, Entertainment, Convenience, and Information) and hypotheses were developed. The respondents of the main study were tourists traveling in downtown Greenville, South Carolina, who have experiences using smartphones at the destination. To test the model for the study, a multilevel analysis (multilevel SEM) was employed to avoid statistical biases caused by common traits within group tourists and to measure potential group effects. This study also analyzed multilevel mediation in the structural equation model. It was hypothesized that the attitude construct mediates the relationship between motivations of using smartphones by tourists (independent variable or predictors) and satisfactions with smartphones use by tourists (dependent variable) in the structural model. Moreover, the relationships among constructs were tested and examined based on the theoretical background developed through a review of the literature. This study provides a classification of motivations of using smartphone use by tourists (U&G motivations) and a newly developed scale to measure satisfaction with smartphone use by tourists and their experiences, and thus it may enhance deeper our understanding of motivations of using smartphone by tourists, attitude toward the smartphone use by tourists and satisfactions with smartphone use by tourists. This study addressed specific aspects of tourism experiences. The results suggest that U&G motivations have a significant effect on tourists’ attitude toward smartphone use, which, in turn, significantly affects e-tourist satisfaction at the individual level. However, there was no group effect among U&G motivations, the attitude toward smartphone use and e-tourist satisfaction. Based on the results from this study, the most important reason that tourists used their smartphones was to obtain information during their trips to Greenville, SC. The results of this study provide practical and theoretical implications for e- tourism communication and tourism marketing

Bivariate Beta-LSTM

Long Short-Term Memory (LSTM) infers the long term dependency through a cell state maintained by the input and the forget gate structures, which models a gate output as a value in [0,1] through a sigmoid function. However, due to the graduality of the sigmoid function, the sigmoid gate is not flexible in representing multi-modality or skewness. Besides, the previous models lack modeling on the correlation between the gates, which would be a new method to adopt inductive bias for a relationship between previous and current input. This paper proposes a new gate structure with the bivariate Beta distribution. The proposed gate structure enables probabilistic modeling on the gates within the LSTM cell so that the modelers can customize the cell state flow with priors and distributions. Moreover, we theoretically show the higher upper bound of the gradient compared to the sigmoid function, and we empirically observed that the bivariate Beta distribution gate structure provides higher gradient values in training. We demonstrate the effectiveness of bivariate Beta gate structure on the sentence classification, image classification, polyphonic music modeling, and image caption generation.Comment: AAAI 202

UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models

UMass Morph Server (UMMS) has been developed for the broad impact on the study of molecular dynamics (MD). The elastic network model (ENM) of a given macromolecule has been proven as a useful tool for analyzing thermal behaviors locally and predicting folding pathways globally. UMMS utilizes coarse-grained ENMs at various levels. These simplifications remarkably save computation time compared with all-atom MD simulations so that one can bring down massive computational problems from a supercomputer to a PC. To improve computational efficiency and physical reality of ENMs, the symmetry-constrained, rigid-cluster, hybrid and chemical-bond ENMs have been developed and implemented at UMMS. One can request both harmonic normal mode analysis of a single macromolecule and anharmonic pathway generation between two conformations of a same molecule using elastic network interpolation at

Investigating Residents’ Attitudes towards Tourism Growth in Downtown Greenville, SC: The Effect of Demographic Variables

Given the high density of urban spaces, residents and tourists share resources and infrastructure in limited spaces. The purpose of the study is to investigate the influence of residents’ perceived tourism impacts on their attitudes towards tourism growth, the effect of proximity to tourism center on residents’ attitudes, and how this effect is moderated by residents’ demographic features (age, gender, length of residence) in urban settings. A total of 251 responses were collected in downtown Greenville, a tourist zone located in the heart of Greenville, SC, USA. Using multiple regression models and ANOVA, the study suggested that (1) economic impact was the most important predictor of residents’ attitudes towards tourism growth, (2) downtown residents were more favorable of tourism growth than county residents, and (3) Age and gender moderated the effect of proximity to a tourism center on residents’ attitudes towards tourism growth

Structure-activity relationships of fluorene compounds inhibiting HCV variants

Approximately 71 million people suffer from hepatitis C virus (HCV) infection worldwide. Persistent HCV infection causes liver diseases such as chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma, resulting in approximately 400,000 deaths annually. Effective direct-acting antiviral agents (DAAs) have been developed and are currently used for HCV treatment targeting the following three proteins: NS3/4A proteinase that cleaves the HCV polyprotein into various functional proteins, RNA-dependent RNA polymerase (designated as NS5B), and NS5A, which is required for the formation of double membrane vesicles serving as RNA replication organelles. At least one compound inhibiting NS5A is included in current HCV treatment regimens due to the high efficacy and low toxicity of drugs targeting NS5A. Here we report fluorene compounds showing strong inhibitory effects on GT 1b and 3a of HCV. Moreover, some compounds were effective against resistance-associated variants to DAAs. The structure-activity relationships of the compounds were analyzed. Furthermore, we investigated the molecular bases of the inhibitory activities of some compounds by the molecular docking method.11Ysciescopu