Qiang Zhang

As a renowned tourist destination in China, Hangzhou is home to three UNESCO World Heritage Sites: the West Lake Cultural Landscape, the Grand Canal (Hangzhou Section), and the Liangzhu Archaeological Ruins. With the continuous development of international tourism, gaining a clear understanding of how foreign visitors perceive and evaluate these heritage sites has become increasingly critical for improving destination management and boosting cultural communication. This study explores the experiences of international tourists at Hangzhou's three World Heritage Sites, drawing on English-language online reviews collected from TripAdvisor and Google Reviews. It adopts a mixed-method approach that combines Latent Dirichlet Allocation (LDA) topic modeling, an improved VADER sentiment analysis method, Importance-Performance Analysis (IPA), and manual content analysis. Based on around 1200 collected online reviews, this research identifies core themes, emotional responses, and potential service problems related to each of these heritage sites. The results show that international visitors hold generally positive attitudes toward all three heritage sites, but their experiences vary in line with the distinct characteristics of each heritage type. West Lake is most commonly associated with natural scenery and cultural landscapes, yet overcrowding remains a key issue that drags down visitor satisfaction. The Grand Canal is strongly linked to historical culture and cruise experiences, though excessive commercialization may erode its cultural authenticity. Liangzhu is primarily recognized for its museum architecture and archaeological value, but insufficient multilingual support and interpretation services hinder international visitors from grasping its full cultural significance. Overall, this study highlights how heritage type shapes international tourists' perceptions and identifies site-specific management priorities for each site. The findings indicate that effective development of heritage tourism requires not only the preservation of cultural resources, but also targeted improvements to visitor management, multilingual services, and cultural interpretation. This research also illustrates the value of text mining methods for analyzing international tourist experiences and informing management decisions at heritage destinations.

Although there have been numerous studies on mental wellbeing impairment or other negative consequences of Workplace Violence (WPV) against healthcare professionals, however, the effects of WPV are not limited to those who experience WPV in person, but those who exposed to WPV information indirectly. In the aftermath of “death of Dr. Yang Wen,” a cross-sectional study was conducted to explore the psychological status of healthcare professionals. A total of 965 healthcare professionals from 32 provinces in China participated in our research. The prevalence rates of Post-Traumatic Stress Disorder (PTSD) symptoms, depression, anxiety among healthcare professional in the current study were 25.60, 46.01, and 27.88%, respectively. Moreover, our research suggested that the awareness of WPV-incident had a significant association with PTSD symptoms. In addition, risk perception was shown to mediate the effect of WPV awareness on PTSD symptoms. Furthermore, the present research also found a U-shaped relationship between issue salience and PTSD symptoms, and the relationship between issue salience and anxiety, indicating that higher awareness of WPV issue was negatively related to mental health status (including PTSD and anxiety) but only to the points at which there were no additional effects of more issue salience. This study highlighted that more protective measures for healthcare professionals need to be implemented in response to potential WPV events. More importantly, risk perception was found to mediate the effect of WPV issue salience on PTSD symptoms, it is critical to reduce the mental health burden through intervening in risk perception.

The increase in the size of universities has greatly increased the number of teachers, students, and courses and has also increased the difficulty of scheduling courses. This study used coevolution to improve the genetic algorithm and applied it to solve the course scheduling problem in universities. Finally, simulation experiments were conducted on the traditional and improved genetic algorithms in MATLAB software. The results showed that the improved genetic algorithm converged faster and produced better solutions than the traditional genetic algorithm under the same crossover and mutation probability. As the mutation probability in the algorithm increased, the fitness values of both genetic algorithms gradually decreased, and the computation time increased. With the increase in crossover probability in the algorithm, the fitness value of the two genetic algorithms increased first and then decreased, and the computational time decreased first and then increased.

BackgroundAt present, tic disorder has attracted the attention of medical researchers in many countries. More clinicians choose non-drug therapy, especially cognitive-behavioral therapy because of the cognitive side effects of drug therapy. However, few studies had assessed its efficacy. It is necessary to have a more comprehensive understanding of the literature quality of CBT and its intervention effect.MethodsIn this study, MEDLINE, Embase, and Cochrane were searched from the beginning to June 15, 2021 to study the efficacy of -CBT on tic disorder. Only studies using the Yale Global Tic Severity Scale and the control group were included.ResultsA total of 12 randomized controlled trials, including 536 patients with tic disorders, were identified. The results showed that the effect of CBT was better than that of the control group. The pooled standardized mean difference was −0.34. The effect size of CBT differs from different intervention conditions. In seven studies, the subjects’ motor tic scores were counted. The sample size of the experimental group was 224 and that of the control group was 218. The pooled SMD was −0.43. Seven studies counted the vocal tic scores of subjects, 224 in the experimental group and 218 in the control group. The pooled SMD was −0.22. Seven studies counted the tic impairment scores of subjects, 220 in the experimental group and 214 in the control group. The pooled SMD was −0.48.ConclusionThe literature shows that different CBTs can significantly reduce the total score of tic disorder and the score of motor tic, but cannot significantly reduce the score of vocal tic. In the future, more new interventions were needed to improve the symptoms of different patients, especially vocal tic.

For the first time, this study uses the sports event—tennis as an intermediate carrier to build a bridge of interaction between wealth management characteristic talents and wealth management objects, so that the training of wealth management characteristic talents and employers can be seamlessly connected and integrated naturally. It has broadened the employment channels for talents with characteristics of wealth management, shortened the time process for the integration of wealth management-related college graduates into the society, and improved the recognition of wealth management-related students by employers. At the same time, this study proposes specific measures for wealth management-related employers to feed back the quality of wealth management talent training in colleges and universities.

This paper presents a problem of observer-based adaptive fuzzy predefined performance control of a class of nonlinear pure-feedback systems with input delay and unknown control direction. Compared with the existing research, a novel predefined performance controller is proposed, which relaxes the assumption that the initial error is known. In addition, it is difficult to design the controllers due to input delay and nonaffine properties of the pure-feedback systems, which can be simplified by Pade approximation. Moreover, dynamic surface control and Nussbaum functions are applied to overcome the calculation explosion caused by repeated differentiations and unknown control direction, respectively. Based on the above methods, an adaptive fuzzy predefined performance controller is proposed, and it is proved that all the signals of a closed-loop system are semiglobally uniformly ultimately bounded. The tracking errors converge within a predefined range, while the observer estimation errors converge within a small zero region. Finally, the simulation results demonstrate the effectiveness of the proposed control system.

According to social cognitive theory, this study explored the relationship between intrapreneurship and opportunity recognition. We developed a moderated mediation model of creative self-efficacy as a mediator and support for innovation as a moderator linking intrapreneurship with opportunity recognition. Using a sample of 206 college students from Chinese universities, we found that intrapreneurship is positively related to opportunity recognition, and this relationship was mediated by creative self-efficacy. Our research further found that the effect of intrapreneurship on opportunity recognition was conditional on support for innovation. Finally, the theoretical and practical implications are discussed.

Currently, the coronavirus disease 2019 pandemic experienced by the international community has increased the usage frequency of borderless, highly personalized social media platforms of all age groups. Analyzing and modeling texts sent through social media online can reveal the characteristics of the psychological dynamic state and living conditions of social media users during the pandemic more extensively and comprehensively. This study selects the Sina Weibo platform, which is highly popular in China and analyzes the subjective well-being of Weibo users during the COVID-19 pandemic in combination with the machine learning classification algorithm. The study first invokes the SWB classification model to classify the SWB level of original texts released by 1,322 Weibo active users during the COVID-19 pandemic and then combines the latent growth curve model and the latent growth mixture model to investigate the developmental trend and heterogeneity characteristics of the SWB of Weibo users after the COVID-19 outbreak. The results present a downward trend and then an upward trend of the SWB of Weibo users during the pandemic as a whole. There was a significant correlation between the initial state and the development rate of the SWB after the COVID-19 outbreak. LGMM results show that there were two heterogeneous classes of the SWB after the COVID-19 outbreak, and the development rate of the SWB of the two classes was significantly different. The larger class showed a slow growth, while the smaller class showed a rapid growth. Furthermore, the slope means across the two classes were significantly different. Therefore, the individuals with a higher growth rate of SWB exhibited stronger adaptability to the changes in their living environments. These results could help to formulate effective interventions on the mental health level of the public after the public health emergency outbreak.

Many applications of intuitionistic fuzzy sets depend on ranking or comparing intuitionistic fuzzy numbers. This paper presents a novel ranking method for intuitionistic fuzzy numbers based on the preference attitudinal accuracy and score functions. The proposed ranking method considers not only the preference attitude of decision maker, but also all the possible values in feasible domain. Some desirable properties of preference attitudinal accuracy and score functions are verified in detail. A total order on the set of intuitionistic fuzzy numbers is established by using the proposed two functions. The proposed ranking method is also applied to select renewable energy. The advantage and validity of the proposed method are shown by comparing with some representative ranking methods.