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"CUI, Xin"
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Urban tourism management based on artificial neural networks analysis and data mining
In the last several decades, cities all over the globe have seen the arrival of millions of tourists. Due to the rapid increase, innovative approaches are required to control tourist demand, generate precise forecasts, and offer tailored suggestions. This study presents the Urban Tourism Evaluation System (UTES), a novel hybrid method that combines collaborative filtering with cutting-edge techniques such as LSTM neural networks, fuzzy logic, big data analysis, and K-means clustering. The UTES system processes and analyzes large tourist datasets via its interconnected parts. At its core is a robust big data storage system that absorbs large amounts of tourist data. Tourists are categorized using K-means clustering algorithms according to their preferences and actions. Unclear inputs can be correctly deciphered by fuzzy logic. Long short-term memory (LSTM) networks allow for accurate demand forecasting in tourism by recording complex relationships between actual demand and predictive variables. Planners can use these projections to monitor and manage the number of tourists visiting cities. Simultaneously, the collaborative filtering tool analyzes traveller preferences using data mining, enabling highly personalized recommendations for locations, attractions, and activities. With its integrated components for visitor flow management and personalized recommendations, UTES is a comprehensive tourism management system that can evaluate data in real-time and respond with judgments. UTES revolutionizes the industry with data mining, neural networks, recommendation algorithms, big data analytics, and urban tourism management. Ultimately, UTES empowers data-driven decision-making, optimal visitor flow management, and highly personalized tourist experiences, meeting the diverse needs of modern urban travellers. The experimental results show that UTES achieves a demand forecasting accuracy of 93.4% and a recommendation accuracy of 96.7%, outperforming existing models. Additionally, UTES demonstrated lower MAE (78.2%) and RMSE (71.8%), superior real-time adaptability, clustering efficiency, and robust data uncertainty handling using fuzzy logic. These advantages make UTES a highly effective solution for optimizing urban tourism management.
Journal Article
Isorhapontigenin alleviates cerebral ischemia/reperfusion injuries in rats and modulated the PI3K/Akt signaling pathway
Isorhapontigenin (ISO) is one of the main bioactive components of
Gnetum cleistostachyum
and was shown to possess antioxidant and antitumor functions. Herein, we hope to examine the neuroprotection impacts of ISO in rats subjected to transient middle cerebral artery occlusion/reperfusion (MCAO/R, 2/24 h) injuries. ISO was injected intraperitoneally into the rats immediately after cerebral ischemia. After 24 h of the reperfusion, infarct volume, brain water contents, neurological deficit, and cerebral blood flow were assessed. Hippocampus histopathology change was detected by H&E and TUNEL staining. The expressions of cleaved caspase-3, Bax and Bcl-2, and phospho-Akt (
p
-Akt) were investigated by real-time RT-PCR or western blot analysis. We found that ISO significantly suppressed the infarct volumes, brain water contents, and neurological deficit, increased CBF, and relieved histopathologic change in a dose-dependent manner. Reduced malondialdehyde (MDA) and elevated activities of superoxide dismutase (SOD) and GSH and glutathione peroxidase (GSH-PX) were observed in ISO group. ISO remarkably decreased caspase-3 and Bax and increased levels of Bcl-2. Additionally, ISO upregulated
p
-Akt expression. Blocking of PI3K activities by wortmannin can abolish the ISO-caused decrease in infarct volumes and neurologic deficit scores and abrogate the promotion of p-Akt. The data indicated that ISO played neuroprotective impacts against focal I/R injuries, possibly related to the activating of PI3K/Akt signaling.
Journal Article
Binge-watching addiction as an emotion regulation way of coping loneliness
This study advances understanding of problematic media use by differentiating addictive from non-addictive binge-watching in relation to loneliness—an aspect often overlooked in prior research. It contributes to the field in three key ways: first, by empirically distinguishing problematic from non-problematic binge-watching; second, by demonstrating that loneliness significantly predicts binge-watching addiction but not non-problematic viewing; and third, by identifying escapism and emotional enhancement as dual emotion regulation pathways mediating this relationship, thereby extending existing single-motive frameworks. Using a sample of 551 participants, the study employed correlation and regression analyses to investigate these associations. Binge-watching addiction was assessed using the Problematic Series Watching Scale, and binge-watching motives were measured using the Watching TV Series Motives Questionnaire. Results revealed that loneliness was positively related to binge-watching addiction ( β = 0.325, p < 0.01), but not to non-problematic binge-watching behavior. Analysis identified both escapism ( β = 0.575, p < 0.01) and emotional enhancement motives ( β = 0.429, p < 0.01) as significant factors contributing to binge-watching addiction, suggesting a dual-pathway model of emotion regulation. These findings refine theoretical models of maladaptive media use by illustrating how binge-watching addiction may serve as a behavioral emotion regulation strategy for coping with loneliness via both negative reinforcement and positive enhancement.
Journal Article
Developing and Managing Film-Related Tourism in the All-for-One Model at a Tourism Destination: The Case of Hengdian Town (China)
All-for-one tourism is a new planning concept proposed by Chinese tourism scholars and practitioners, which has been formally regarded as a new tourism model to develop the country’s tourism industries since 2016. It aims to stimulate the growth of the tourism industries across the entire region, encompassing all tourism and tourism-related resources at a destination. Hengdian Town is a tourism destination in China that has implemented the model of all-for-one tourism to develop and manage its film-related tourism. Based on the data collected from ethnographic methods (participant observations and individual interviews) in Hengdian Town, this paper examines the ways that the destination manages its film-related tourism, as well as the outcomes of such approaches, by applying the model of all-for-one tourism. The findings reveal that Hengdian Town has leveraged the model to manage its tourism resources and provided tourists with a comprehensive travel experience. This paper also explores the benefits and drawbacks of managing film-related tourism in the all-for-one tourism model. By focusing on film-related tourism, this study provides a unique perspective on the all-for-one tourism model.
Journal Article
Glycolysis drives STING signaling to facilitate dendritic cell antitumor function
Activation of STING signaling in DCs promotes antitumor immunity. Aerobic glycolysis is a metabolic hallmark of activated DCs, but how the glycolytic pathway intersects with STING signaling in tumor-infiltrating DCs remains elusive. Here, we show that glycolysis drives STING signaling to facilitate DC-mediated antitumor immune responses. Tumor-infiltrating DCs exhibited elevated glycolysis, and blockade of glycolysis by DC-specific Ldha/Ldhb double deletion resulted in defective antitumor immunity. Mechanistically, glycolysis augmented ATP production to boost STING activation and STING-dependent DC antitumor functions. Moreover, DC-intrinsic STING activation accelerated HIF-1α-mediated glycolysis and established a positive feedback loop. Importantly, glycolysis facilitated STING-dependent DC activity in tissue samples from patients with non-small cell lung cancer. Our results provide mechanistic insight into how the crosstalk of glycolytic metabolism and STING signaling enhances DC antitumor activity and can be harnessed to improve cancer therapies.
Journal Article
Axial N Ligand‐Modulated Ultrahigh Activity and Selectivity Hyperoxide Activation over Single‐Atoms Nanozymes
Learning and studying the structure–activity relationship in the bio‐enzymes is conducive to the design of nanozymes for energy and environmental application. Herein, Fe single‐atom nanozymes (Fe‐SANs) with Fe–N5 site, inspired by the structure of cytochromes P450 (CYPs), are developed and characterized. Similar to the CYPs, the hyperoxide can activate the Fe(III) center of Fe‐SANs to generate Fe(IV)O intermediately, which can transfer oxygen to the substrate with ultrafast speed. Particularly, using the peroxymonosulfate (PMS)‐activated Fe‐SANs to oxidize sulfamethoxazole, a typical antibiotic contaminant, as the model hyperoxides activation reaction, the excellent activity within 284 min−1 g−1(catalyst) mmol−1(PMS) oxidation rate and 91.6% selectivity to the Fe(IV)O intermediate oxidation are demonstrated. More importantly, instead of promoting PMS adsorption, the axial N ligand modulates the electron structure of FeN5 SANs for the lower reaction energy barrier and promotes electron transfer to PMS to produce Fe(IV)O intermediate with high selectivity. The highlight of the axial N coordination in the nanozymes in this work provides deep insight to guide the design and development of nanozymes nearly to the bio‐enzyme with excellent activity and selectivity. Learning the structure–activity relationship of bio‐enzymes is conducive to the design of nanozymes. Herein, Fe single‐atom nanozymes (Fe‐SANs) with Fe–N5 site, inspired by the structure of cytochromes P450 (CYPs), are developed for the hyperoxide activation to degrade micropollutants, and the crucial role of axial N for the activity and selectivity of Fe‐SANs is demonstrated.
Journal Article
Design and Analysis of Magnetic Coils for Optimizing the Coupling Coefficient in an Electric Vehicle Wireless Power Transfer System
Although the wireless power transfer (WPT) system for electric vehicles (EVs) provides numerous advantages, there is still a low coupling coefficient and the misalignment between the primary coil and the secondary coil needs to be solved. In this paper, the transmission efficiency and transmitted power were calculated based on Series-Series (SS) compensation topology. The coupling coefficient is related to the coil parameters and misalignments. A simulation study was carried out to explore the variation in the coupling coefficient for different coil configurations under different air gaps and coil misalignments. Moreover, the influence of the internal parameters of the square coil on the coupling coefficient was further studied. Finally, this paper discusses the influence of ferrite cores with a square coil on the coupling coefficient. The results of this paper show that designing the optimal internal parameters of the square coil and the ferrite core can increase the coupling coefficient between the coils, which can also provide guidelines for the design and optimization of the magnetic coupling coils for a wireless charging system for electric vehicles.
Journal Article
Exploring the interplay of psychological entitlement, mindset, and luxury products or experience consumption
Psychological entitlement (PE), characterized by individuals’ persistent belief in their superior deservingness, has gained increasing significance in consumer behavior research due to its profound impact on purchase decisions and service expectations. Despite PE being extensively discussed in psychology, little research has focused on its impact on luxury purchase intentions. Also, there is a dearth of research on the relationship between different mindsets and luxury purchase intentions. This study aims to fill this research gap by examining the relationship between PE, mindset, and luxury purchase intentions. Its proposed model includes the direct relationship between PE and luxury purchase intentions, with fixed and growth mindsets playing moderating roles. We tested the proposed model by obtaining 303 valid samples and performing data analysis using the Statistical Package for Social Sciences (SPSS). The sampling technique utilized in this study involved the distribution of a questionnaire via the Credemo online survey platform. The study revealed a positive relationship between PE and purchase intentions, illustrating how the PE mindset influences luxury product or experience consumption. Also, it was discovered that the fixed and growth mindsets as moderators also strengthen the relationship between PE and luxury consumption. This study investigated the relationship between PE, mindset, and luxury products or experience consumption and provided future research directions on PE, mindset, and luxury consumption.
Journal Article