Since the COVID-19 pandemic, the tourism economy has been seriously affected. China has implemented a direct traveling management mechanism and recovered from the pandemic faster than the rest of the world. However, the COVID-19 situation is complicated and uncontrollable because of the available unclear information including difficult medical terminologies. This study attempts to find the determinants of the travel intention of China’s tourists in the post-COVID-19 epidemic. Along with information overload and perception risk, an expanded research model of the Theory (...) of Planned Behavior was employed to propose the theoretical framework of this study. A survey was conducted among 518 tourists who spend their holiday in Hainan, which is a popular tourist destination in China. The empirical results show that information overload positively and significantly impacted perceived risk. Furthermore, perceived risk negatively affects the intention to travel. Perceived risk also negatively affected the attitude toward traveling. However, response self-efficacy did not have a significant effect on the intention to travel. Finally, based on the analysis results, this study proposes relevant research contributions and practical recommendations with management implications for the travel industries. (shrink)
With the prevalence of the Internet and new media channels, consumer reviews have become one of the main determinants of Consumers’ purchasing decisions. This paper uses the Latent Dirichlet Allocation model to identify the key factors that are of major concern to consumers, including design factors, laptop setup factors, logistics factors, after-sales factors, and user experience factors. And, we classify these factors into product quality factors and supporting service factors for new products. We then explore the relationship between online reviews (...) and purchase decisions under these different factors, and also further explore the impact of interactions between online review metrics on purchase decisions. Our findings suggest that the impact of online reviews on consumer purchase decisions also varies considerably across different consumer focus factors. In addition, we find that the impact of the interaction between online review features is complex. In particular, consumers do not follow the positive guidance and make purchase decisions as we would expect when confronted with a large number of positive emotional polarity online reviews. Meanwhile, the interaction between negative emotional polarity and variance of online reviews had no significant effect on consumer purchase decisions. The variance of online reviews has a limited role in reducing consumer risk perceptions triggered by negative emotional polarity. Our study provides new evidence for the study of the impact of online reviews through text mining. (shrink)
The energy hole is a severe problem for underwater acoustic distributed networks in that it affects the normal operations of the network and shortens the network’s life span. To deal with this problem, a loop-free routing control technique is proposed in this paper. The classical shortest-path routing control method is used to generate multiple disjointed routing tables. The residual energy of the nodes and the changing information of the uplink/downlink matrix are added to the data frames for distribution. The source (...) node specifies the routing path to transmit the data frames based on the changing information, and the relay nodes route the data frames strictly according to the routing path designated by the source node. Besides, the energy consumption of the relay node is saved by replying to the pseudo-ACK frame. Simulation experiments are implemented in four typical scenarios, and the results reflect that the proposed technique could extend the network’s life span by approximately 10% when compared to other mature techniques. Besides, it has no other negative effects on the normal operations of the network. (shrink)
For CVaR portfolio nonsmooth optimization problem, we propose an infeasible incremental bundle method on the basis of the improvement function and the main idea of incremental method for solving convex finite min-max problems. The presented algorithm only employs the information of the objective function and one component function of constraint functions to form the approximate model for improvement function. By introducing the aggregate technique, we keep the information of previous iterate points that may be deleted from bundle to overcome the (...) difficulty of numerical computation and storage. Our algorithm does not enforce the feasibility of iterate points and the monotonicity of objective function, and the global convergence of the algorithm is established under mild conditions. Compared with the available results, our method loosens the requirements of computing the whole constraint function, which makes the algorithm easier to implement. (shrink)
Transcutaneous auricular vagus nerve stimulation, a non-invasive alternative to vagus nerve stimulation with implantable devices, has shown promise in treating disorders such as depression, migraine, and insomnia. Studies of these disorders with resting-state functional magnetic resonance imaging have found sustained changes in resting-state functional connectivity in patients treated with low frequency taVNS. A recent study has reported reductions in pain scores in patients with rheumatoid arthritis after a 12-week treatment of high-frequency sub-threshold taVNS. However, no studies to date have examined (...) the effects of high-frequency sub-threshold taVNS on rsFC. The objective of this study was to determine whether high-frequency sub-threshold taVNS induces changes in rsFC using seed regions from the cingulate cortex and insula, brain regions that play a key role in interoception and processing of pain. With a single-blind placebo-controlled repeated measures experimental design, rsfMRI scans were acquired before and after 15 min of either sub-threshold taVNS treatment or a sham control. Significant taVNS-related changes in functional connections to the cingulate cortex were detected between the anterior cingulate cortex and right superior temporal gyrus and between the midcingulate cortex and right inferior parietal lobule. In addition, significant changes in functional connections to the insula were detected between the posterior insula and right precuneus and between the anterior insula and right cuneus gyrus. These results suggest that high-frequency sub-threshold taVNS can lead to sustained effects on the rsFC of brain regions involved in interoception and processing of pain in a cohort of healthy subjects. This study lays the foundation for future rsfMRI studies of high-frequency sub-threshold taVNS in clinical populations. (shrink)
Ben shu tong guo dui Kang Youwei zhi "qun" yu"du" guan nian de kao cha, lai ba wo Kang Youwei dui ge ren, guo jia nai zhi tian xia zhi xu de shen ke si kao. Zhu yao nei rong you: yi, Jin dai"qun-du" guan nian de chu xian ji qi zou xiang, er, Kang Youwei "qun-du" guan nian chan sheng de si xiang bei jing, san, "Du ren" yu Kang Youwei dui xian dai xing ge ti sheng cun zhi (...) ling hui, si, "Qun" yu guo jia wei xin, wu, "qun-du" guan lian yu chong tu: min quan yu guo jia guan nian zhi jian de zhang li, liu, Shi jie fan wei zhi "du" yu "qun" : guo jia yu "da tong"deng. (shrink)
Lu Jia's New Discourses: A Political Manifesto from the Early Han Dynasty is a readable yet accurate translation by Paul R. Goldin and Elisa Levi Sabattini. Celebrated as "a man-of-service with a mouth [skilled] at persuasion", Lu Jia (c. 228-140 BCE) became one of the leading figures of the early Han dynasty, serving as a statesman and diplomat from the very beginning of the Han empire. This book is a translation of Lu Jia's New Discourses, which laid out the reasons (...) for rise and fall of empires. Challenged by the new Emperor to produce a book explaining why a realm that was conquered on horseback cannot also be ruled on horseback, Lu Jia produced New Discourses, to great acclaim. (shrink)
Ben shu wei "Song Ming shi qi Chang Jiang zhong you de ru xue yan jiu" cong shu zhi yi: ben cong shu shi ren wen she hui ke xue chong dian yan jiu ji di-Wuhan da xue Zhongguo chuan tong wen hua yan jiu zhong xin tou biao, jing jiao yu bu zu zhi zhuan jia ping shen tong guo, zheng shi pi zhun de jiao yu bu ren wen she hui ke xue 2001 nian du zhong da yan (...) jiu xiang mu, xiang mu pi zhun hao shi 01JAZJD720008, ding yu 2004 nian qian hou wan cheng. ke ti zu zhu chi ren wei Guo Qiyong jiao shou, "Jiangxi zhi xue"shi Zhu Xi ti chu de yi ge gai nian, zhu yao zhi chu zi yu Jiangxi Jinxi Lu shi jia zu yi men de xue shuo, qi nei he shi Lu Jiuyuan de xin xue; di 2 quan ze shi you "Song Yuan xue an" suo zai zhi Xiangshan xiong Zhangfu, Suoshan de xue shuo; di 3 quan wei Xiangshan xiong di de di zi men de si xiang. Ben shu quan mian kao cha Jiangxi zhi xue zai Song dai Chang Jiang zhong you xing qi de xue mo yuan yuan, zhu yao xue shuo, yu Luo xue Min xue Zhejiang zhu xue zhe (Lü Zuqian, Yong Shangsi xian sheng deng) zhi jian de guan xi, yi ji qi dui Wang (Yangming) xue xing qi de nei zai guan lian xing, bing yan ji dui xian dai xin ru xue de tan tao. ben shu de xie zuo jiang zhu zhong si xiang kao gu de fang fa, zai quan mian yan jiu you guan dian ji de ji chu shang, dui you guan ren wu de chu sheng di, huo dong de di qu (ru jia zu suo zai cun luo, xue zhe shu xin wang lai, jiang xue, hui jiang, shu yuan deng) jin xing shi di de kao cha, guang fan di yun yong fang zhi, nian pu, shu yuan zhi, jia pu deng cai liao, ba si xiang jia huan yuan yu ju ti huan jing zhi zhong, zai ju ti she hui de li shi de jia zu de bei jing xia kao cha qi si xiang de nei han, jie shi qi jing shen suo zai, bing jin er yin shen chu qi yi yi yu jia zhi. (shrink)
Scholars have generally agreed that correlative thinking represents a defining feature of traditional Chinese thought, and their discussions on this enduring mode of thinking have led to a better understanding of the Chinese intellectual and cultural tradition. Although scholars have seldom looked into the causes of the formation of early Chinese correlative thought, some of their discussions have provided inspiration for further investigation.A number of scholars have indicated that the concept of resonance was a fundamental factor in Chinese correlative thinking. (...) For example, both Hellmut Wilhelm and Joseph Needham asserted that, in correlative thinking, order, pattern, and symbolic correlation or.. (shrink)
A trapaça heroica está entre as memórias mais persistentes da Copa do Mundo de Futebol de 1986. Enquanto o brilhante segundo gol de Diego Maradona contra a Inglaterra foi apelidada por jornalistas desportivos de todos os lugares de “o gol do século”, o seu primeiro, de mão, é diferentemente lembrado pelos jornalistas e outros escritores em Londres e em Buenos Aires. A trapaça de Maradona, testemunhada por milhões em todo o mundo, não foi observada nem pelo árbitro tunisiano e tampouco (...) por seus assistentes durante o jogo. Na corrida dos jogos fúnebres de Pátroclo descrita na Ilíada, há até mesmo uma trapaça divina: a deusa Atena intervém, em resposta à oração de Odisseu, lançando Ajax, rosto ao chão, nos restos imundos dos sacrifícios de touros para impedi-lo de ganhar e assim, dar a vitória a Odisseu. Se os deuses trapaceiam para ajudar aos seus humanos favoritos, pode a própria trapaça ser totalmente inaceitável, mesmo em uma ocasião solene, que homenageia um guerreiro morto? Quando Ajax percebe o papel de Atena em sua derrota e reclama com seus companheiros, eles apenas riem dele. Este artigo analisa a representação da trapaça nas artes e nas poesias gregas e romanas e conclui que a “ mano de dios ” de Maradona é comparativamente trivial. (shrink)
Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be articulated in several means that can be seen, like speech and facial expressions, written text, and gestures. Emotion recognition in a text document is fundamentally a content-based classification issue, including notions from natural language processing and deep learning fields. Hence, in this study, deep learning assisted semantic text analysis has been proposed for human emotion detection using big data. Emotion (...) detection from textual sources can be done utilizing notions of Natural Language Processing. Word embeddings are extensively utilized for several NLP tasks, like machine translation, sentiment analysis, and question answering. NLP techniques improve the performance of learning-based methods by incorporating the semantic and syntactic features of the text. The numerical outcomes demonstrate that the suggested method achieves an expressively superior quality of human emotion detection rate of 97.22% and the classification accuracy rate of 98.02% with different state-of-the-art methods and can be enhanced by other emotional word embeddings. (shrink)
