One of the popular theories in psychology that potentially contributes to the development of teaching and learning programs is brain dominance. According to this theory, the brain is categorized into two hemispheres based on personal traits and cognitive styles. It is interesting to investigate the correlation between brain dominance and second language learning. Therefore, this study set out to examine the correlation between brain dominance and the development of English reading, and speaking skills. For this purpose, the required data were (...) randomly gathered from 230 sophomore students in four different universities and were analyzed through a Pearson Chi-Square test, a Kruskal–Wallis test, and a Mann–Whitney test. Findings evidenced a significant correlation between brain dominance and reading skills. Three categories of brain dominance groups differ in reading skills in which moderate right-brain shows the highest score. Concerning the speaking skills, however, the results documented no significant correlation between brain dominance and speaking skills. Three groups of brain dominance were not significantly different in three aspects of speaking skills, including accuracy, fluency, and comprehensibility. The study concludes by proposing a range of implications and some avenues for further research. (shrink)

The amazing rise of digital currency is not only favored by investors but also attractive to lawbreakers for its anonymity and decentralization. This paper mainly discusses the intelligent digital currency and dynamic coding service system based on Internet of Things technology. In this paper, the RDCAR algorithm is used to realize the routing discovery process of the wireless network. When the intermediate node receives the RREQ message, first of all, to avoid the loop, it checks whether the same RREQ message (...) has been introduced. If it has received it, it will discard it. Otherwise, it will cache the message and attach its own neighbor node list to the signal-to-noise ratio of the channel link, update the RREQ message, and broadcast it. The payment cipher is managed by the bank. When the user opens an account, the bank registers and sends it to the user. The key is generated by the algorithm chip, and the public key is kept in the bank background server. When the bill is delivered to the bank, the bank inputs all the elements on the bill on the counter terminal and transmits it to the verification machine for verification through the bank network. If the verification is correct, it indicates that the bill is indeed issued by the customer, and all bill elements are correct, and payment can be made. The node operation protocol of public chain and alliance chain maintains the operation of the Internet of Things system. The nodes of alliance chain generate new blocks according to the interval of 30 s. When the node fails to complete the block generation within 30 s, it will rotate to the next node. The mkfile command is used to generate 16b, 1 KB, 1 MB, and 1 GB files as input. The peak speed of the encoding service system is about 370 mb/s. The results show that the system designed in this study is robust and suitable for complex trading environment. (shrink)

Is relational crafting always beneficial? Despite the increasing research on the positive outcomes of relational crafting, some evidence still indicates its dysfunctional consequences. The current study proposed a double-edged sword effect of relational crafting on job well-being, including work dynamics and emotional exhaustion, with an integrative perspective from the resource loss and resource acquisition perspectives based on the job demands-resources model and the conservation of resources theory. By conducting a two-stage questionnaire survey on 323 employees, the results demonstrate that: On (...) the one hand, relational crafting induces emotional exhaustion through increased work load; On the other hand, relational crafting also displays positive effect on increasing work dynamics and decreasing emotional exhaustion by fostering supervisor-subordinate guanxi. By analyzing the double-edged sword effect of subordinates’ relational crafting on job well-being from the two processes of resource loss and resource acquisition effects, a more complete influencing mechanism between relational crafting and job well-being is constructed, which improves the understanding of relational crafting, enriches the literature on proactive behavior and provides a more integrated theoretical basis for researchers and managers. (shrink)

The COVID-19 pandemic has influenced the tourism industry in various ways, including tourists’ travel motivations and intentions. Unlike previous studies that have focused on the dark side of the pandemic, this study adds the dimension of perceptions of positive information on COVID-19 to the Theory of Planned Behavior to explore their influence on travel motivation and intention. A total of 470 valid questionnaires were collected from a sample of Chinese university students. The results showed that the students’ perceptions of positive (...) COVID-19 information positively impacted their travel intentions through the variables of perceived behavioral control, travel attitudes, and travel motivations. Perceived behavioral control was the mediating variable that most explained the impact of perceptions of positive COVID-19 information on travel motivation and intention. This study contributes to the understanding of the influence of the COVID-19 pandemic on tourism and of university students’ travel motivations and intentions. It also offers implications for the tourism industry to formulate relevant recovery strategies during and after the pandemic. (shrink)

Objective: Patients with hypochondriasis hold unexplainable beliefs and a fear of having a lethal disease, with poor compliances and treatment response to psychotropic drugs. Although several studies have demonstrated that patients with hypochondriasis demonstrate abnormalities in brain structure and function, gray matter volume and functional connectivity in hypochondriasis still remain unclear.Methods: The present study collected T1-weighted and resting-state functional magnetic resonance images from 21 hypochondriasis patients and 22 well-matched healthy controls. We first analyzed the difference in the GMV between the (...) two groups. We then used the regions showing a difference in GMV between two groups as seeds to perform functional connectivity analysis. Finally, a support vector machine was applied to the imaging data to distinguish hypochondriasis patients from HCs.Results: Compared with the HCs, the hypochondriasis group showed decreased GMV in the left precuneus, and increased GMV in the left medial frontal gyrus. FC analyses revealed decreased FC between the left medial frontal gyrus and cuneus, and between the left precuneus and cuneus. A combination of both GMV and FC in the left precuneus, medial frontal gyrus, and cuneus was able to discriminate the hypochondriasis patients from HCs with a sensitivity of 0.98, specificity of 0.93, and accuracy of 0.95.Conclusion: Our study suggests that smaller left precuneus volumes and decreased FC between the left precuneus and cuneus seem to play an important role of hypochondriasis. Future studies are needed to confirm whether this finding is generalizable to patients with hypochondriasis. (shrink)

Effective feature representation is the key to success of machine learning applications. Recently, many feature learning models have been proposed. Among these models, the Gaussian process latent variable model for nonlinear feature learning has received much attention because of its superior performance. However, most of the existing GPLVMs are mainly designed for classification and regression tasks, thus cannot be used in data clustering task. To address this issue and extend the application scope, this paper proposes a novel GPLVM for clustering. (...) Specifically, by combining GPLVM with the subspace clustering method, our C-GPLVM can obtain more representative latent variable for clustering. Moreover, it can directly predict the new samples by introducing a back constraint in the model, thus being more suitable for big data learning tasks such as analysis of chaotic time series and so on. In the experiment, we compare it with the related GPLVMs and clustering algorithms. The experimental results show that the proposed model not only inherits the feature learning ability of GPLVM but also has superior clustering accuracy. (shrink)

A distinct British approach to disease in the tropics has been identified in the recent historiography of colonial medicine: Mansonian tropical medicine, named after Sir Patrick Manson , the founder of the London School of Tropical Medicine. This essay examines Manson's study of filariasis and argues that his conceptual tools and research framework were derived from contemporary natural history. It investigates Manson's training in natural history at the University of Aberdeen, where some of his teachers were closely associated with transcendental (...) biology. The concepts of perfect adaptation and the harmony of nature were crucial to the formulation of his research problematic. This essay demonstrates that biogeographical concepts played an important part in Manson's research methodology. It also investigates how Manson's natural historical approach contributed to the making of so‐called Mansonian tropical medicine. (shrink)