Comprehensive Mechanism Research Articles

ACTUAL ISSUES OF REPRODUCTION OF FIXED ASSETS OF DOMESTIC ENTERPRISES

The article touches upon topical issues of reproduction of fixed assets of domestic enterprises in terms of their accounting, audit and strategic aspects of management. The study emphasises the necessity of constant renewal of fixed assets to ensure competitiveness, increase of labour productivity and quality of products. The main purpose of the study is to identify the key problems of managing the reproduction of fixed assets and formulate ways to solve them. To achieve the research objective, the methods of analysis and synthesis, comparative analysis and empirical methods were used. The paper emphasises the importance of improving accounting and auditing, considers the concepts of physical and moral wear and tear, as well as depreciation of fixed assets. It is determined that improving the depreciation policy is an important factor in increasing the investment activity of business entities. It is substantiated that internal audit plays an important role in providing reliable information on the process of reproduction of fixed assets, which contributes to the effective management of enterprise resources. The author defines the tasks of internal audit, including verification of the correctness of recognition and assessment of fixed assets restoration costs, reliability of information on depreciation charges, depreciation and residual value of fixed assets, control over accounting of lease transactions and transactions with investment property. The publication also discusses the strategic aspects of fixed assets reproduction, emphasising the importance of an innovative approach to improving the competitiveness of enterprises. It is noted that the implementation of innovative reproduction requires an integrated approach, including the construction of a mechanism that ensures the orientation of the market and the macroeconomic model of management to innovative forms of reproduction of fixed capital. The article pays special attention to the problems of financing innovative projects and cooperative technological chains. The article concludes by emphasising the need to form a comprehensive mechanism at the macro level, focused on the priority reproduction of fixed asset systems using the latest technologies. The paper emphasises the importance of creating a unified system of innovation and investment activities of enterprises, taking into account the interests of all participants. It stresses the expediency of using both market and non-market incentives for the reproduction of fixed assets, which will facilitate the production of competitive products and ensure the sustainable development of enterprises in the market.

Forecasting Tourist Arrivals in Nepal: A Comparative Analysis of Seasonal Models and Implications

Tourist arrivals play a vital role in the broader tourism ecosystem, substantially contributing to the economy. The global landscape has witnessed significant growth in international arrivals over the years, and Nepal has not been an exception to this trend, experiencing a steady influx of inbound tourists. Although tourist numbers are increasing, the lack of research in forecasting future arrivals is evident, highlighting the pressing need for comprehensive forecasting mechanisms to efficiently manage tourism resources and sustainably accommodate the growing influx of visitors. In order to gain insights into the dynamics of international tourist arrivals in Nepal, we conducted a comparative analysis using two distinct forecasting techniques: Seasonal Autoregressive Integrated Moving Average (SARIMA) and the Exponential Smoothing technique. Our analysis spanned from January 1992 to December 2023, enabling us to formulate forecasts for the upcoming months up to December 2030. The findings of our study underscore the suitability of all three models—namely, SARIMA, Winter Additive, and Winter Multiplicative—as effective tools for projecting international arrivals in Nepal. However, upon careful examination, the Winter Multiplicative model emerged as the most appropriate model for forecasting Nepal's international arrivals. This model aligned strongly with the observed data, enhancing its predictive accuracy. The implications of our research are far-reaching, offering valuable insights for various stakeholders within Nepal's tourism industry. These insights can guide tourism planners, policymakers, and other relevant entities in formulating well-informed strategies to strengthen and sustain the growth of the tourism sector in Nepal. As the nation continues to position itself on the global tourism map, equipped with data-driven forecasts, we believe that our study provides an essential resource for shaping the trajectory of Nepal's tourism industry in a positive direction.

Photodynamic inactivation of edible photosensitizers for fresh food preservation: Comprehensive mechanism of action and enhancement strategies.

Foodborne harmful bacteria not only cause waste of fresh food, but also pose a major threat to human health. Among many new sterilization and preservation technologies, photodynamic inactivation (PDI) has the advantages of low-cost, broad-spectrum, energy-saving, nontoxic, and high efficiency. In particular, PDI based on edible photosensitizers (PSs) has a broader application prospect due to edible, accessible, and renewable features, it also can maximize the retention of the nutritional characteristics and sensory quality of the food. Therefore, it is meaningful and necessary to review edible PSs and edible PSs-mediated PDI, which can help to arouse interest and concern and promote the further development of edible PSs-mediated PDI in the future field of nonthermally sterilized food preservation. Herein, the classification and modification of edible PSs, PS-mediated in vivo and PS-mediated in vitro mechanism of PDI, strengthening strategy to improve PDI efficiency by the structure change synergistic and multitechnical means, as well as the application in fresh food preservation were reviewed systematically. Finally, the deficiency and possible future perspectives of edible PSs-mediated PDI were articulated. This review aimed to provide new perspective for the future food preservation and microbial control.

Mechanism of American Ginseng Against Type 2 Diabetes Mellitus Based on Network Pharmacology & Molecular Docking

Background: Ginseng is one of the top-selling natural products worldwide and has been shown to have significant effects. Nonetheless, there is limited research on American ginseng when compared to Asian ginseng. A small number of studies have demonstrated the therapeutic benefits of American ginseng, which include antioxidant, anti-inflammatory, and immune-stimulating activities. Objective: The objective of our research is to predict the molecular mechanism by which American ginseng combats Type 2 diabetes mellitus (T2DM) using Network Pharmacology and Molecular Docking techniques. By doing so, we aim to reveal one of the comprehensive mechanisms through which American ginseng exerts its therapeutic effects. Methods: We conducted a search for related compounds in American ginseng using the TCMSP database, which we then utilized to classify potential targets for the major ingredients. We obtained targets associated with T2DM from various databases, including PharmGKB, OMIM, TTD, GeneCards, and DrugBank. Using STRING and Cytoscape software, we constructed PPI networks. We subsequently performed GO and KEGG analysis on the targets using the R programming language. Ligand and target structures were acquired from PubChem and PDB databases, respectively. Chem3D and AutoDock software was used to process the structures, while PyMoL was employed for molecular docking analysis. Results: Several investigations have indicated that PTGS2, NFKBIA, PRKCA, IL1B, NCOA2, and LPL targets are significantly associated with American ginseng's effectiveness in treating T2DM. Molecular docking analysis further validated these findings. We discovered three active components with highaffinity, namely papaverine, ginsenoside-rh2, and beta-sitosterol. Conclusion: The outcomes of our predictions could contribute to the development of American ginseng or its active constituents as an alternative therapy for T2DM.

An output-feedback stabilisation scheme with exponential convergence for nonlinear systems with unknown polynomial-of-output growth rate

ABSTRACT This paper seeks adaptive output-feedback control which enables exponential stabilisation for nonlinear systems with unknown polynomial-of-output growth rate and dynamic uncertainties. The existence of uncertainties naturally requires the introduction of adaptive compensation mechanisms, while, convergence rate, as an important performance specification, is usually hard to attain in the context of adaptive control. For this, we are compelled to pursue a comprehensive and competent adaptive compensation mechanism which possesses dual capabilities of compensating uncertainties and affording convergence rate. Crucially, a subtle dynamic gain is designed with its dynamic updating law incorporating exponential-type time-varying information. Notably, the gain would not only deal with the unknown polynomial-of-output growth rate but particularly ensure exponential convergence with the convergence rate online adjusting in conformity to the dynamic uncertainties. Correspondingly, an adaptive output-feedback controller is constructed based on a dynamic-gain observer, which can render exponential convergence for system and observer states.

Non-Deterministic and Risk Based Security Services

This paper presents a comprehensive framework to address these challenges. Understanding various social engineering tactics is crucial for effective prevention and detection. Trust based models in entities enable many business objectives that may include speed to market, scalability, decentralization etc However, they also increase the attack surface due to "loose boundaries" between enforcement points or corresponding resource authorization servers and the service orchestration layer. The control points of enforcement are generally static across a spectrum of threat vectors such as Identity, Fraud, Authentication, Authorization, Cyber security and physical security etc. in this paper we propose a "Trust based security framework aka " Interdiction Services" that fundamentally is non-deterministic and risk based. This paper presents a converged security framework towards a comprehensive prevention and detection controls mechanism. The paper proposes a converged security framework that allows various parties from fraud, cyber, and physical security to collaborate but operate independently through a common framework of Interdiction Services.

The moderating effect of organizational knowledge utilization on top management team’s social capital and the innovation quality of high-tech firms

PurposeThis paper aims to investigate the following issues: the mechanisms through which different types of top management team’s social capital influence the innovation quality of high-tech firms, and the moderating effect of organizational knowledge utilization on the relationship between top management team’s social capital and innovation quality in high-tech firms.Design/methodology/approachThis study categorizes top management team’s social capital into political, business and academic dimensions, investigating their impact on innovation quality in high-tech firms. Furthermore, a research model is developed with organizational knowledge utilization as the moderating variable. Data from Chinese high-tech firms between 2010 and 2019 are collected as samples for analysis.FindingsThe innovation quality of high-tech firms shows an inverted U-shaped trend as the top management team’s political capital and business capital increase. The top management team’s academic capital has a significantly positive correlation with the innovation quality of high-tech firms. Moreover, organizational knowledge utilization plays a significant moderating role in the relationship between the top management team’s social capital and innovation quality in high-tech firms.Originality/valueThis study explores the relationship among different dimensions of top management team’s social capital, innovation quality and organizational knowledge utilization. It holds significant theoretical value in enriching and refining the interactions between top management team’s social capital, knowledge management theory and innovation management theory. In addition, it offers important practical implications for firms to rationally approach top management team’s social capital, emphasize top management team configuration management and establish a comprehensive and efficient organizational knowledge utilization mechanism.

International Legal Regulation and Management of Space Waste on Celestial Bodies

The present article explores the international legal regulation of space waste on celestial bodies and the ecological challenges that space missions will pose in the near future. The lack of a shared vision of whether space waste production should be minimized on celestial bodies is causing uncertainty in the planning of future space missions. Leading private space companies are proposing the transfer of dangerous space waste produced from Earth into outer space. The excessive generation of space waste would increase the risks of activities such as space tourism, and space research and will threaten scientific fields such as radio astronomy. The political alliances that exclude a priori third parties will increase the risk of a generation of unnecessary orbital space debris and space waste on celestial bodies because of the development of several space missions in the same field. The sustainability of space missions on celestial bodies and the protection of the outer space environment should become a guiding principle for both national and international legal regulation of space activities. This article argues for the urgent need to establish comprehensive international regulations and monitoring mechanisms to manage space waste on celestial bodies, emphasizing sustainability and cooperation among space-faring nations.

Sound-vortex conversion on droplets: A surface curvature oscillation engine for cavitation

Cavitation, a confusing yet essential natural process, remains the target of intensive scientific research. Discovered through propeller cavitation nearly a century ago, initial theories suggest that bubble collapse initiates cavitation. The mechanism of bubble collapse in cavitation remains unclear, especially in modern cavitation scenarios like sonodynamic tumor therapy or aerodynamic noise without natural bubbles. Therefore, a comprehensive visualization-based cavitation mechanism is vital to comprehend and investigate various cavitation phenomena, from historical propeller cavitation to modern in vivo tumor treatment. This study introduces and discusses the direct conversion between two fundamental motions, sound and vortex, and its application as a universal cavitation mechanism to initiate and sustain tailored long-life cavitation from droplets. The results demonstrate a special acoustic phenomenon and its potential technological applications for harnessing sound with customized acoustics cavitation devoid of bubbles.

Fuzzy Ranking for Enhanced Security: Optimizing Feature Selection in VANET Intrusion Detection

In Vehicular Ad-Hoc Networks (VANETs), ensuring efficient intrusion detection while minimizing false alarms is paramount for maintaining network security and reliability. Traditional methods often struggle to strike this balance effectively. This study proposes a novel approach that employs fuzzy ranking to enhance intrusion detection efficiency in VANETs while mitigating false positive and negative factors. At the core of our approach lies the development of an innovative fuzzy ranking mechanism to identify optimal features extracted from VANET nodes. These features serve as critical indicators of potential security threats within the network. By systematically collecting and analyzing data from various sources including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, our approach aims to capture nuanced patterns and anomalies indicative of malicious behavior. The fuzzy ranking technique enables us to prioritize features based on their relevance to intrusion detection, thereby facilitating more effective feature selection. This process ensures that only the most informative features are utilized, enhancing the overall efficiency of the intrusion detection system. Features such as packet transmission rates, signal strength variations, route deviation patterns, and network topology characteristics are carefully evaluated and ranked to optimize detection accuracy. To train our intrusion detection model, we leverage machine learning algorithms such as deep neural networks, support vector machines, and decision trees. By utilizing labeled datasets containing examples of both benign and malicious network activities, our model learns to distinguish between normal and anomalous behavior, thus enabling timely threat detection. Furthermore, we integrate fuzzy logic-based anomaly detection techniques to identify previously unseen or zero-day attacks, enhancing the system's robustness. In addition to improving detection accuracy, our approach focuses on preventing harmful warnings caused by false alarms. We achieve this by implementing a comprehensive filtering mechanism that distinguishes between transient anomalies and genuine security threats. Contextual factors such as traffic conditions, environmental variables, and historical network behavior are considered to reduce false positives while ensuring reliable threat detection.Through extensive experimentation and evaluation, we demonstrate the effectiveness of our approach in enhancing intrusion detection efficiency and reducing false positive/negative factors in VANETs. The proposed methodology offers a promising solution to the security challenges faced by VANETs, paving the way for safer and more secure vehicular communication systems in the future.

Landslides along the Engineering Corridors in the Northeastern Margin of the Qinghai-Tibet Plateau of China: Comprehensive Inventory and Mechanism Analysis

Landslides along the Engineering Corridors in the Northeastern Margin of the Qinghai-Tibet Plateau of China: Comprehensive Inventory and Mechanism Analysis

Comprehensive mechanism and microkinetic model-driven rational screening of 4N-modulated single-atom catalysts for selective oxidation of benzene to phenol

Comprehensive mechanism and microkinetic model-driven rational screening of 4N-modulated single-atom catalysts for selective oxidation of benzene to phenol

An adaptive and interpretable modeling architecture assisted rapid and reliable consensus prediction for hazardous properties of chemicals

The current research on quantitative structure-activity relationships (QSAR) of hazardous properties of compounds has significant progresses by utilizing intricate descriptors. Herein, to address the difficulties in descriptor selection and combination as well as the lack of interpretability of models, based on multi-endpoint toxicological data, an adaptive and interpretable modeling architecture is proposed to assist consensus prediction for hazardous properties of industrial chemicals. This architecture can adaptively adjust the modeling strategy according to the balanced degree of available data. After that, an integrated approach based on the concept of consensus is employed to improve the accuracy of predictions. Additionally, a novel interpretability method of feature perturbation is utilized to identify the active sites of compounds for computer-aided mechanism research. The statistical results demonstrate the outstanding performance and versatility of this structure, while the suggested interpretability strategy aids in the comprehension mechanism and enhances the dependability of the established model.

Unraveling NO Production in N2-O2 Plasmas with 0D Kinetic Modeling and Experimental Validation.

This work presents a detailed investigation aimed at understanding the key mechanisms governing nitric oxide (NO) production in N2-O2 discharges by systematically comparing experimental results to modeling data. The experimental phase capitalizes on radiofrequency (13.56 MHz) discharges, sustained at 5 mbar pressure conditions, featuring varying concentrations of oxygen, ranging from pure N2 plasma to air-like mixtures. On the modeling front, we adopt an integrated approach that combines the solution of the Boltzmann equation for electrons with a system of rate balance equations for heavy species. To account for ground state NO(X) generation at the reactor wall, we combine the volume chemistry with a mesoscopic description of the surface, taking into account adsorption sites and various elementary surface phenomena. Comparisons between experiments and modeling demonstrate very good agreement, extending beyond NO(X) formation to encompass other species in the plasma such as N2O(X) and atomic nitrogen N(4S). Noteworthy findings include (i) the pivotal role of surface mechanisms in NO(X) production, particularly at low oxygen content values; (ii) the significance of accurately describing the postdischarge phase, where depletion of plasma species occurs at different time scales (millisecond range); and (iii) the importance of vibrationally and electronically excited states (e.g., O2(b)) in elucidating NO(X) formation dynamics, crucial for unraveling reaction pathways and energy transfer processes. This work makes an important step toward formulating a comprehensive reaction mechanism for N2 and N2-O2 plasmas applied to nitrogen fixation, covering both volume and surface mechanisms, and lays a robust foundation for future research on plasma-based NO(X) production, particularly in the presence of catalysts.

Analysis of the Feedback on Teacher Training in an Affiliated Hospital in Shaanxi Province

Objective: This article aims to deeply analyze the feedback on teacher training in an affiliated hospital, so as to clarify the current needs and situation of teacher training and provide a scientific basis for further optimizing the teacher training system. Methods: The current situation and needs of teacher training in the affiliated hospital were collected by designing and distributing Tomato Form questionnaires on the DingTalk platform. The questionnaire adopted a percent-point system, all of which were indeterminate multiple-choice questions. Results: The average age of the clinical teachers participating in the survey was 40.44 ± 7.85 years old, with an average teaching length of 4–10 years. The results showed that 60.20% of teachers think that the amount of teacher training in an affiliated hospital is sufficient; 91.10% of teachers think that the factors affecting training conflict with working hours; 97.96% of teachers believe that the training time has an impact on the training effect; 81.63% of teachers prefer online training; 51.53% of teachers tend to arrange training time on working days; 33.16% of teachers tend to train once a month; 17.78% of teachers prefer to receive training on clinical theoretical courses and practical teaching norms and skills content. Conclusion: Based on the above survey results, we propose to build a comprehensive management mechanism for teacher training, including improving the access, training, and assessment mechanism for clinical teachers, and adjusting and optimizing the training program according to actual needs. At the same time, an effective communication platform should be built to promote the deep integration of teaching and practice and enhance social recognition, so as to comprehensively improve the teaching quality and medical service of the hospital.

The Stylistic Nature of the Theory of Foregrounding in the Literary Text

The theory of foregrounding plays an integral part in the way a reader perceives and decodes linguistic expression, whereas construal process allows for dynamic categorization and portrayal of a situation with the help of a big diversity of linguistic means. By means of classification of construing phenomena, scholars identified key dimensions such as attention, judgment, perspective and constitution, elucidating intricate mechanisms of comprehension and expression of language. The article touches on two types of saliencies in cognitive linguistics such as cognitive and ontological salience. It also underscores Langacker’s notion of “entrenchment” and investigates the concepts of communicative salience, gearing towards profiling and trajectory / landmark alignment to set forth how attention is directed in linguistic expressions. The article examines the theory of foregrounding in cognitive linguistics and its correlation with construal operation. It sheds light on how language shapers perception and categorization of situation, participants and their features through a wide range of construal phenomenon. The article dives into various classifications and subcategories of construal phenomenon, highlighting the way attention, judgment, perspective and constitution play a part in language input and output. The article sets forth complex interplay of language, cognitive operations and salience, in particular within the framework of cognitive linguistics. The article investigates how language means and structures contribute to the foregrounding of prominent conceptual elements and decoding scenes and situations. The scientific work explores a wide range of notions of salience in literary analysis, primarily focusing on Leech and Short’s concepts of literary relevance, psychological prominence and statistical deviance. The article delves into the way these notions cooperate with one another and contribute to subjective recognition of style in literary texts. Moreover, it explores the role of figure and ground in the theory of foregrounding emphasizing how original and striking linguistic means, or “figures” stand out from conventional linguistic elements, aka. “ground” contributing to actualization and creative presentation of the world in literature. Overall, the scientific article emphasizes dynamic process of stylistic analysis and the function of literature in presenting the world in a novel and creative manner.

The comprehensive evaluation and mechanism of HOUTTUYNIA CORDATA (Thunb) injection as a complementary therapy for infantile pneumonia

BackgroundHouttuynia cordata injection (HCI), a commercialized product made from the active ingredients extracted from Houttuynia cordata Thunb, has been used clinically in China for >50 years with significant therapeutic effects on pseudorabies herpesvirus infection in vitro and H1N1 influenza virus in mice. Purpose of studyThis work is to evaluate the complementary therapeutic effect of HCI on infantile pneumonia (IP) and to explore its mechanism of action. Study designFirst, the complementary efficacy of HCI in improving IP was evaluated by meta-analysis, with only randomized controlled trials from 5 electronic databases were included in this study. Second, network pharmacology was employed to predict the underlying mechanism of HCI in improving IP. Finally, molecular docking, surface plasmon resonance (SPR) and lipopolysaccharide (LPS)-induced rat IP model were used to verify the predicted results. ResultsMeta-analysis indicated that HCI can complementarily improve pneumonia by increasing cure rate and reducing the duration of fever, cough, and wheezing. Network pharmacology analysis using databases such as Traditional Chinese Medicine Systems Pharmacology (TCMSP), Swiss target prediction, Therapeutic target database and Genecards showed that quercetin, houttuynin and kaempferol in HCI are the main compounds that improve IP and regulate 96 pneumonia-related protein targets. Protein-protein interaction (PPI) network analysis indicated that interleukin-6, tumor necrosis factor α (TNF-α), interleukin-1 β (IL-1β), protein kinase B-1, matrix metalloproteinase 9, interleukin-10, tumor protein 53, epidermal growth factor receptor, C-X-C motif chemokine 8 and interferon gamma are the ten most relevant targets of HCI in improving IP. In the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, 96 targets are involved in 706 GO functions and 148 KEGG pathways. Among them, TNF-α/IL-1β signaling associated with inflammatory response is considered to be an important mechanism in IP. Molecular docking, SPR and LPS-induced IP model confirmed the predicted results. ConclusionsHCI has a complementary therapeutic effect on IP, and its mechanism may be related to the inhibition of TNF-α/IL-1β inflammatory response by two flavonoid compounds.

Reform of four-dimensional integration curriculum system of “on-the-job competition certificate” for new engineering electronic information majors

Since the beginning of 2021, the importance of the development of “Industrial Internet” and “Metauniverse” has been mentioned many times in many important documents such as the outline of the 14th Five-Year Plan and the 2021 government work report. Under the background that the industrial Internet has replaced the consumer Internet as the main direction, with the change of digital electronic information technology and the huge demand of the market, the new engineering electronic information specialty will face great opportunities and challenges. Education needs to cultivate a large number of differentiated talents and individualized skilled talents. Therefore, vocational education is the guarantee of social talents in the process of promoting modern industrialization. Therefore, it is necessary to focus on the major strategy set by the state, closely connect with industrial upgrading, grasp the trend of technological change, promote the integration of production and education, and thoroughly implement the vocational skill grade certificate system. Moreover, the comprehensive education mechanism of “post-class competition certificate” should be promoted. Under the above background, aiming at the demand of electronic information major in new engineering, this paper puts forward the curriculum system reform of “post-class competition certificate”, and analyzes the practice process. On this basis, it completes the integration of teaching content and post work cases, realizes the docking of teaching mode and post work process, and finally realizes the matching of course examination and professional grade certificate standard. Besides, it can also improve curriculum resources, improve the composition of teaching staff, create high-quality curriculum training conditions, etc., and finally promote the rapid development of electronic information industry.

Transcriptional regulation of multi-tissue mRNA expression by L-arabinose mitigates metabolic disorders in leptin receptor-deficient mice

L-arabinose, a sugar substitute, exhibits anti-diabetic effects due to its lower caloric content than conventional sugar. However, the comprehensive molecular mechanisms underlying its organ-to-organ interactions remain elusive in transgenic mouse models. Therefore, we investigated these anti-diabetic effects using mRNA sequencing analysis across multiple tissues. We used leptin receptor-deficient mice subjected to a normal diet with sucrose (SUC), SUC supplemented with erythritol (ERY), and SUC supplemented with L-arabinose (ARA) for 16 weeks. Prolonged supplementation with L-arabinose significantly lowered fasting blood glucose and HOMA-IR levels, improved glucose tolerance, and markedly reduced body fat in the leptin receptor-deficient mice without affecting food and energy intake. The ARA group exhibited decreased activities of gluconeogenic enzymes (PEPCK, G6Pase) and increased glycolytic enzyme activity, signifying enhanced insulin sensitivity. Additionally, significant alterations in gene expression related to fatty acid metabolism and insulin resistance were observed, including a notable increase in the transcription of genes essential for fatty acid oxidation. L-arabinose supplementation also led to improved myogenesis and a reduction in chronic inflammation, indicating potential efficacy in mitigating diabetic sarcopenia. Overall, this study positions L-arabinose supplementation as a promising therapeutic strategy for managing insulin resistance and its associated complications, meriting further investigation into its role in diabetes management.

Understanding the effects of live streamers’ appearance and abilities in shaping consumer purchase: A cross-cultural empirical research

This research aims to investigate the comprehensive mechanism of streamers' attractiveness on consumer purchases in diverse cultural contexts. We confirmed the cultural differences between Douyin's and Tiktok shop's users through a pre-survey, and then collected live video data and viewer behavioral data from the two platforms. Based on the elaboration likelihood model framework, this research reveals that both appearance attractiveness and abilities attractiveness have positive effects on purchase behavior. Intriguingly, two types of attractiveness exhibit a substitutive relationship in Eastern cultural group, whereas they are complementary in Western cultures. Findings highlighted the complex impacts of streamers' attractiveness on consumer purchases, emphasizing the importance of cross-cultural analysis to comprehend consumer behavior in digital retail.