Impact of hotel discount strategies on consumers’ emotion and behavior in the presence of high and low involvement consumers

While hotels come up with various discount strategies to attract consumers, especially during a recession, both hotels and consumers seem to favor dynamic pricing. Yet there are not enough studies available to reveal that dynamic pricing would positively impact consumers. Studies also indicated that price discounts give consumers not only monetary benefits but also positive emotional responses. The purpose of this study was to investigate how uniform pricing and dynamic pricing influence consumers\u27 emotion and behavior, in the presence of low involvement and high involvement consumers. The results of study suggested that high involvement consumers responded more positively to dynamic pricing than uniform pricing. Moreover, younger and female consumers are more likely to be involved in obtaining a discount, and high involvement consumers showed more positive feelings, and were more likely to tell others and make repeat purchases from a discount as compared to low involvement consumers

The Relationship Between Therapy And Students’ Anxiety

Anxiety causes a high percentage of behavioral concerns and struggles in school aged children and it has become one of the most prevalent psychological disorders in adults (Bernstein, 2016). If left untreated, anxiety negatively influences children’s social, emotional, and cognitive development, which continues into adulthood. Children with anxiety tend to demonstrate excessive inflexibility, avoidant tendencies, and an intense need to control situations that they perceive as intimidating (Kra-Oz & Shorer, 2017). The purpose of this literature review is to examine anxiety in latency-aged children and the current practices in treating childhood anxiety. This will also examine gradual exposure therapy through art and play as a mode of treatment to alleviate symptoms of anxiety. Since play and art are two inherent languages of children and have been proven to be effective therapeutic methods for reducing symptoms of anxiety, these modalities can be helpful in alleviating anxiety in children (Khadar, 2013). In this literature review, I narrate the therapeutic relationship between art therapy, exposure therapy through play, and students with anxiety in uncomfortable situations

Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection

Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for reconstruction is the detection of neuronal boundaries. Images acquired by serial section EM, a leading 3D EM technique, are highly anisotropic, with inferior quality along the third dimension. For such images, the 2D max-pooling convolutional network has set the standard for performance at boundary detection. Here we achieve a substantial gain in accuracy through three innovations. Following the trend towards deeper networks for object recognition, we use a much deeper network than previously employed for boundary detection. Second, we incorporate 3D as well as 2D filters, to enable computations that use 3D context. Finally, we adopt a recursively trained architecture in which a first network generates a preliminary boundary map that is provided as input along with the original image to a second network that generates a final boundary map. Backpropagation training is accelerated by ZNN, a new implementation of 3D convolutional networks that uses multicore CPU parallelism for speed. Our hybrid 2D-3D architecture could be more generally applicable to other types of anisotropic 3D images, including video, and our recursive framework for any image labeling problem

Panel Data Models with Multiple Time-Varying Individual Effects

This paper considers a panel data model with time-varying individual effects. The data are assumed to contain a large number of cross-sectional units repeatedly observed over a fixed number of time periods. The model has a feature of the fixed-effects model in that the effects are assumed to be correlated with the regressors. The unobservable individual effects are assumed to have a factor structure. For consistent estimation of the model, it is important to estimate the true number of factors. We propose a generalized methods of moments procedure by which both the number of factors and the regression coefficients can be consistently estimated. Some important identification issues are also discussed. Our simulation results indicate that the proposed methods produce reliable estimates.panel data, time-varying individual effects, factor models

Twelve-spin "Schrodinger cat"

Pseudopure "cat" state, a superposition of quantum states with all spins up and all spins down, is experimentally demonstrated for a system of twelve dipolar-coupled nuclear spins of fully 13C-labeled benzene molecule oriented in a liquid-crystalline matrix.Comment: Submitted to Applied Physics Letter

Synaptic Partner Assignment Using Attentional Voxel Association Networks

Connectomics aims to recover a complete set of synaptic connections within a dataset imaged by volume electron microscopy. Many systems have been proposed for locating synapses, and recent research has included a way to identify the synaptic partners that communicate at a synaptic cleft. We re-frame the problem of identifying synaptic partners as directly generating the mask of the synaptic partners from a given cleft. We train a convolutional network to perform this task. The network takes the local image context and a binary mask representing a single cleft as input. It is trained to produce two binary output masks: one which labels the voxels of the presynaptic partner within the input image, and another similar labeling for the postsynaptic partner. The cleft mask acts as an attentional gating signal for the network. We find that an implementation of this approach performs well on a dataset of mouse somatosensory cortex, and evaluate it as part of a combined system to predict both clefts and connections