cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1256016.10fu
title: SH1256016.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.14457/rmutk.the.2024.37
title: Factors Influencing Financial Investment of Chinese Middle-Income Families, Kunming, Yunnan

description: This study aims to examine the relationship between demographic characteristics and various financial investment products and to explore the influence of risk preferences on financial investment decisions among middle-income families in Kunming. Data were collected using the convenience sampling approach, with a sample size of 400 determined by applying Cochran's formula. The statistics used to analyze the data included descriptive statistics, such as frequency, percentage, mean, and standard deviation, as well as inferential statistics, including the independent sample t- test, one-way ANOVA, and multiple regression, all at a statistical significance level of 0.05. The findings indicate that the age difference, total household assets, types of household debt, and household debt expenses significantly affect financial investment decisions differently. At the same time, gender and educational background do not have significantly different effects on the outcome. Risk preference significantly influences the choice of financial investments, with risk-averse investors having a negative impact on all investment types. In contrast, risk-seeking and risk-neutral investors exhibit positive influences. This study provides contemporary insights into how the post- pandemic era has reshaped financial decision-making processes, offering interpretations of risk preferences and financial investment recommendations for investors in Kunming.
DOI: 10.15156/bio/sh1256018.10fu
title: SH1256018.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.14457/rmutk.the.2024.38
title: Investigating the Effects of Cooperative Learning Approaches on Emotional Involvement to Enhance Artistic Creativity Among Third-Grade Art Students in Chinese Secondary Vocational Schools

description: This study focused on the Yuehua Secondary Vocational School students in Dezhou City. The objectives of this research were 1) to analyze the impact of cooperative learning methods on students' emotional involvement, 2) To explore the students' emotional Involvement affects their learning outcomes of more than 70%, and 3) to compare the difference between and after implementing the emotional involvement affected their learning outcomes of artistic creativity. Krejcie and Morgan's table shows that the research sample included 1400 students, with a subset of 302 students participating. The research employed a quantitative research method. Statistical analysis used percentages, means, standard deviations, and narrative analysis to interpret the data. The primary research tools were questionnaires, tests, and lesson plans. The results revealed that: 1) the overall mean score for all variables was 3.76, with a standard deviation of 0.88, indicating a generally high level of agreement among respondents. 2) based on the test results, 70% of the students who participated showed that emotional involvement positively affected their learning outcomes of artistic creativity, as evidenced by the majority receiving grades of "Very Good" or "Excellent", and 3) after implementing the emotional involvement difference before learning outcomes of artistic creativity at the mean score of 9. 58 with a standard deviation of 0.98. These findings suggested that cooperative learning methods significantly enhanced students' emotional involvement, positively influencing their academic performance and creative abilities. The study underscored the importance of creating emotionally engaging cooperative learning environments. Recommendations included personalizing learning approaches, strengthening teacher-student relationships, providing professional development for teachers, and incorporating technology to boost emotional involvement and creative outcomes further. Future research should explore the longitudinal impacts and the integration of advanced educational technologies to improve cooperative learning strategies continuously.
DOI: 10.15156/bio/sh1256019.10fu
title: SH1256019.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.14457/rmutk.the.2024.39
title: Social Media Marketing and Brand Loyalty Influencing Online Purchase Intention for Chinese Customers in Supermarket Businesses

description: This research explores how social media marketing and brand loyalty impact the online purchase Intention of Chinese customers in Thai supermarkets. The study examined 405 participants. Applying descriptive statistics and multiple Linear Regression determined that Social Media Marketing and Brand Loyalty moderately positively affect Online Purchase Intention. This shows the need for tailored marketing strategies. The multiple linear regression analysis reveals that social media marketing (R² = 0.206) and brand loyalty (R² = 0.217) have a moderate influence on Online Purchase Intention. Key elements such as platform-specific features (β = 0.254, p = 0.000), peer influence (β = 0.190, p = 0.002), regular brand usage (β = 0.194, p = 0.002), and customer reward schemes (β = 0.176, p = 0.004) play significant roles in this effect. The findings indicate that Thai supermarkets can attract Chinese customers by optimizing social media marketing strategies (e.g., culturally relevant content on WeChat and Weibo), enhancing brand loyalty programs (e.g., personalized membership rewards), and providing tailored content (e.g., informative and engaging interactions). While social media activities do not directly influence buying decisions, they modestly contribute to increasing consumer recognition and interaction with brands. Additionally, supermarkets should develop differentiated strategies to cater to various groups, such as young consumers aged 25–34 and middle-income groups, in order to meet their needs better and enhance competitiveness.
DOI: 10.15156/bio/sh1256020.10fu
title: SH1256020.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.14457/rmutk.the.2024.40
title: The Factors Influencing the Effectiveness of the Integration of Ideological and Political Management in Basic Computer Courses of Medical Students

description: Yunnan Faculty of Medicine and Health is a well-known medical college in Kunming, China, which has long attached great importance to medical students' ideological and political education and management. In recent years, Yunnan Faculty of Medicine and Health college has actively promoted the construction of a large ideological and political classroom, embodied in integrating ideological and political management in the basic computer course. However, in the concrete implementation, it is restricted by multiple factors. This study, therefore, aims to investigate the impacts of the key factors, namely, demographic factors and school environment factors, on the effectiveness of integrating ideological and political management in basic computer courses for medical students. The results obtained from the study indicate that differences in Gender, Age, Educational Level, and Professionalism generate differences in the Effectiveness of Integrating Ideological and Political Management in Basic Computer Courses of Medical Students. On the contrary, differences in college location, position held, and rewards obtained generate no differences in the effectiveness of integrating ideological and political management in basic computer courses for medical students. The Multiple Linear Regression Analyses show that all aspects of the School Environment (Learning Motivation, Self-efficacy, Classroom Environment, Difficulty Expectations, and Perceived Usefulness) have influenced the Effectiveness of Integrating Ideological and Political Management in Basic Computer Courses of Medical Students.
DOI: 10.15156/bio/sh1256021.10fu
title: SH1256021.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1256023.10fu
title: SH1256023.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.14457/rmutk.the.2024.41
title: The Influencing Factors of University Management’s Big Data Technology Adoption

description: Big data is a widely used technology that can achieve apparent results in the digital era. In recent years, the scale of Chinese colleges and universities has gradually expanded, and the management difficulty has further increased. In the context of increasingly complex scenarios and rising business needs, it is imperative for university management to make reasonable use of big data technology. There are many factors affecting the use of big data technology in university management, which is the primary purpose of this paper. The quantitative method is applied in this study. Descriptive statistics such as frequency, percent frequency, mean, and standard deviation are introduced. Various inferential statistical methods are used to test the hypothesis, particularly the Independent Samples t-test, the One-way ANOVA, and the Multiple Linear Regression analysis. The results obtained from the study indicate that differences in Monthly Income, Working Position, and Working Experiences generate differences in Big Data Technology Adoption. The Multiple Linear Regression analysis found that the University Technical Level, University Organizational Level, and University Environmental Level positively impact Big Data Technology Adoption.
DOI: 10.14457/rmutk.the.2024.42
title: The Internationalization of Guizhou-Based Small and Medium Enterprises: An Entrepreneurship Study

description: The objectives of this study were to 1) identify the international entrepreneurship (IE) dimensions and examine the influence of IE dimensions on the internationalization process of SMEs in Guizhou, China, and 2) investigate the strategies and identify the barriers and challenges encountered during the internationalization of SMEs in Guizhou, China. A mixed-methods approach was employed, combining quantitative and qualitative methods. Surveys were administered to general managers and executive directors of SMEs to collect quantitative data, which were analyzed using multiple linear regression. Qualitative data were gathered through in-depth interviews with senior executives to identify strategies, challenges, and barriers Chinese SMEs encounter during internationalization. The analysis revealed that IE dimensions, both scope and degree of internationalization, significantly influenced the internationalization process of SMEs in Guizhou, China. The scope of internalization became the most significant influence on SMEs' internationalization process. The qualitative findings indicated that expenses for overseas expansion, finding trustworthy partners, and technology or innovation were the top three challenges. At the same time, the shortage of working capital for financing exports was the major barrier to the internationalization of SMEs
DOI: 10.15156/bio/sh1256024.10fu
title: SH1256024.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1256029.10fu
title: SH1256029.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.14457/rmutk.the.2024.43
title: The Philosophical Applicability of Tiantai Buddhism's Doctrine of Insentient Beings with Buddha-Nature in China's Ecological Preservation Practices

description: This study aims to investigate the important philosophical concept of insentient entities (wuqing you xing, 无情有性) in Tiantai Buddhism and its impact on individuals' psychological well-being and ecological awareness. This study employs qualitative methods to gain a deeper understanding of the topic. Semi-structured interviews were conducted with seven experts, including academics, senior monks, and writers specializing in Tiantai Buddhism and environmental philosophy in Guangzhou, China. This study used phenomenological techniques for its data analysis. Understanding these variations provides insight into the complexities of Buddhist doctrine and philosophy in multicultural societies. This study has found that Buddhist doctrine and philosophy play a significant role in shaping people's views and actions regarding environmental preservation initiatives and environmental volunteering. Hence, this result provides insight to the government and organizations about maintaining environmental issues, which are rapidly growing globally. This study is one of the few that highlights the Buddhist views of the Chinese people. Hence, the government must improve the alignment between religion and people's awareness, as well as develop a long-term strategy to combat climate change.
DOI: 10.15156/bio/sh1256032.10fu
title: SH1256032.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1256034.10fu
title: SH1256034.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.