A5047450668- Diverse Aspects of Tourism Research
- Digital Marketing and Social Media
- Hospitality and Tourism Education
- Safety and Risk Management
- Regional Development and Environment
- Cultural Industries and Urban Development
- Global Healthcare and Medical Tourism
- Medical Research and Treatments
- Collaboration in agile enterprises
- Educational Reforms and Innovations
- Topic Modeling
- Misinformation and Its Impacts
- Customer Service Quality and Loyalty
- Spam and Phishing Detection
- Healthcare Policy and Management
- Higher Education Governance and Development
- Video Analysis and Summarization
- International Student and Expatriate Challenges
- Economic Zones and Regional Development
- Museums and Cultural Heritage
- Plant Water Relations and Carbon Dynamics
- Culinary Culture and Tourism
- Patient Satisfaction in Healthcare
- Consumer Behavior in Brand Consumption and Identification
- Evaluation and Optimization Models
Henan Cancer Hospital
2024-2025
Xi'an University of Technology
2025
Zhengzhou University
2025
Shenzhen Technology University
2024
Guizhou University of Finance and Economics
2011-2024
Guizhou Electric Power Design and Research Institute
2024
Shenzhen University
2021-2023
The University of Melbourne
2023
Zhejiang Sci-Tech University
2023
Anhui University of Finance and Economics
2022
Museums use digital resources to provide online services the public, and a "digital museuming" boom has started. The mechanism of museum visiting its impact on willingness visit site become an important issue widespread concern. Therefore, based theory presence cognitive-emotional-behavioral theory, this paper introduces perceived value cultural identity as mediating variables explore influence museuming experience from audience's perspective.Questionnaires were distributed, using snowball...
This study aims to investigate the perceived benefits, costs, and relationships that influence doctors' inclination participate in urban-rural medical consortia (URMC). Furthermore, analyzes how moderate impact of benefits costs on take part URMC. The was conducted between September 2022 June 2023 utilizing an online survey Henan Province, Central China, which included 749 respondents from provincial hospitals. Chi-square hierarchical logistic regressions were used determine factors...
Purpose This study investigates how city logo design elements impact brand engagement and their on awareness image perception as well boundary conditions (logo type: abstract concrete). Design/methodology/approach Data from 856 participants were quantitatively analyzed using PLS-SEM to variable relationships. Findings City logos significantly influence perception, enhancing engagement. The concrete moderates this relationship, proving more effective in boosting perception. Research...
Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media. Traditional approaches include conventional machine learning, early deep neural networks, pre-trained fine-tuning models. However, evolution very large language models (VLPLMs) like ChatGPT (GPT-3.5), traditional methods face deployment challenges. The parameter-free Chain-of-Thought (CoT) approach, not requiring backpropagation training, emerged as a promising alternative....
The bi-layer composite ceramic armors are widely used in the protection field, and its design method is keep changing since Florence model has been found. In this study, an analytical of was proposed examined with a new efficiency definition. With definition, armor can be divided into two independent parts: backing plate. By using method, more material selected accurately.
Purpose Taking 30 provincial samples from 2001 to 2017 in mainland China as the research objects, this paper aims evaluate impact and effects of foreign direct investment (FDI) on urban–rural income gap reveals heterogeneity across regions. Design/methodology/approach Firstly, Theil index is used measure between provinces 2017, then spatial econometric model empirically test China’s its Finally, a robustness performed. Findings The results show that there significant inverted U-shaped...
Click to increase image sizeClick decrease size AcknowledgmentsWe would like thank Catia C. Confortini and Natália Maria Félix de Souza for their constructive criticism on the earlier version of this article.Disclosure statementNo potential conflict interest was reported by authors.Notes1 Run CCP, CYLCC is a youth movement People’s Republic China young people between ages 14 28.2 These questions all relate recent news stories in China. Some female medics shaved hair before departing support...
Algorithm-based social platforms like TikTok have changed livestreaming tourism. Many countries and regions promote tourism via livestreaming. Tourism often has low viewer numbers, unstable unsatisfactory effects a lack of travel intention or consumption. Based on the characteristics space flows, this paper analyses how media can improve communication through reproduction increase intension. Study 1 involved in-depth interviews with 40 users who watched for over two years. Functional...
The city on social media has become a hot topic in the study of communication and image. From perspective spatial theory characteristics media, this paper divides imagery TikTok into three spaces: material space-cognitive attention, mental space-mental association, relational space-emotional involvement. Based content analysis 40 videos, we analyze process using cognition, emotion as starting points to increase space, expand space. We find that can be co-constructed from Lastly, model is...
China's Small-town Youth is an important social class connecting urban and rural development. Its ideological status closely related to stability development so that the study of political identity small town youth in China has become topic.Based on survey in-depth interviews, this paper investigates intermediate mechanism short videos use Youth.The found by a significant positive impact identity, media trust play complete mediating role between identity. Cultural as main content ideology...
Purpose Recognizing the differences between generations Y and Z, this exploratory study uses generational cohort theory as a framework to examine brand perception of McDonald's, an international which has grown up with consumers for over 30 years in China. The paper aims discuss issue. Design/methodology/approach Measures was built based on Aaker's personality model. A total 1,103 valid questionnaires were collected through online survey platform. Factor analysis is primary method data....
In view of the outstanding problems such as poor student quality, serious aging teachers, and difficulty in introducing talents vocational education at county level, focusing on connection between middle high schools co-construction majors, ideas methods innovating "3+4" training mechanism building brand county-level are proposed. It is emphasized that it necessary to reform school-running system examination enrollment system, deepen integration industry education, attract high-level...
Abstract Objectives This study had three aims: (a) to examine the incentive measures that effectively affect physicians’ willingness participate in urban-rural medical consortia. (b) analyze differences level of incentives implemented by county and provincial hospitals. (c) identify effects on county-level provincial-level projects. Methods An online survey Henan Province, Central China, was conducted among 1,837 physicians, comprising 1,088 respondents from hospitals 749 Participants...
In recent years, with the rapid application of large language models across various fields, scale these has gradually increased, and resources required for their pre-training have grown exponentially. Training an LLM from scratch will cost a lot computation while scaling up smaller model is more efficient approach thus attracted significant attention. this paper, we present AquilaMoE, cutting-edge bilingual 8*16B Mixture Experts (MoE) that 8 experts 16 billion parameters each developed using...
While advancements in NLP have significantly improved the performance of Large Language Models (LLMs) on tasks requiring vertical thinking, their lateral thinking capabilities remain under-explored and challenging to measure due complexity assessing creative thought processes scarcity relevant data. To address these challenges, we introduce SPLAT, a benchmark leveraging Situation Puzzles evaluate elicit LAteral Thinking LLMs. This benchmark, containing 975 graded situation puzzles across...
In modern digital environments, users frequently express opinions on contentious topics, providing a wealth of information prevailing attitudes. The systematic analysis these offers valuable insights for decision-making in various sectors, including marketing and politics. As result, stance detection has emerged as crucial subfield within affective computing, enabling the automatic user stances social media conversations nuanced understanding public sentiment complex issues. Recent years...
Vision-Language Models (VLMs) have recently made significant progress, but the limited scale and quality of open-source instruction data hinder their performance compared to closed-source models. In this work, we address limitation by introducing Infinity-MM, a large-scale multimodal dataset with 40 million samples, enhanced through rigorous filtering deduplication. We also propose synthetic generation method based on VLMs, using detailed image annotations diverse question generation. Using...
We present CCI3.0-HQ (https://huggingface.co/datasets/BAAI/CCI3-HQ), a high-quality 500GB subset of the Chinese Corpora Internet 3.0 (CCI3.0)(https://huggingface.co/datasets/BAAI/CCI3-Data), developed using novel two-stage hybrid filtering pipeline that significantly enhances data quality. To evaluate its effectiveness, we trained 0.5B parameter model from scratch on 100B tokens across various datasets, achieving superior performance 10 benchmarks in zero-shot setting compared to CCI3.0,...