Research Progress on Peptide-Based Piezoelectric Carrier Materials

Peptide-based piezoelectric carrier materials demonstrate unique advantages in biocompatibility, tunability, and self-assembly capabilities, making them highly promising for applications in sensors, energy harvesting, and bioelectronics. This paper reviews the research progress of peptide-based piezoelectric carrier materials, starting with an introduction to the basic principles of piezoelectric materials and the application of peptides in material science, with a focus on the mechanisms of peptide integration with piezoelectric materials. The paper then analyzes the current main research directions, including peptide-inorganic material composite systems, peptide-organic material composite systems, and peptide-nanomaterial composite systems, summarizing the characteristics, performance optimization strategies, and potential applications of each type of system. Finally, this paper discusses the challenges faced in the current research on peptide-based piezoelectric carrier materials, such as material stability, controllability, and scalability issues, and looks forward to future research directions, including improving material stability, optimizing peptide sequence design, and exploring their application prospects in new smart materials

Algorithmic Resistance and Online Privacy: Extending the Meta-UTAUT Model with Particular Privacy Concerns

This study delved into the perceived benefits and privacy concerns individuals face when interacting with algorithms, and explored their relation to algorithmic resistance. Based on technology acceptance research and online privacy studies, an extended Meta-UTAUT model was proposed. A total of 434 valid samples were obtained in China. The results show that perceived benefits (including performance expectancy, effort expectancy, social influence, and facilitating conditions) are negatively related to algorithmic resistance attitude. Moreover, concerns for technology and financial privacy are positively related to algorithmic resistance intention.This result identifies the aspects of privacy highly esteemed in the interaction between individuals and algorithms. Finally, the contributions, practical and theoretical significance, and limitations of this study were discussed

Digitalization of Industrial Chains: Research on Innovative Pathways for Rural Industry Integration and Rural Revitalization

In the context of the digital economy driving China's high-quality development, the digital transformation of rural industries is of great significance for coordinated urban-rural development and rural revitalization. Various regions have actively implemented the "High-Quality Development Project for Hundreds of Counties, Thousands of Towns, and Tens of Thousands of Villages," achieving initial successes in the integration of agriculture, culture, and tourism industries as well as in rural revitalization. By constructing diversified industrial systems and establishing industrial alliances, some regions have seen significant investments in multiple agricultural and cultural tourism projects from January to October 2024, creating distinctive brands and promoting a number of enterprises to scale up and integrate into the statistical system, thereby enhancing industrial scale and standardization. However, rural digital development still faces challenges such as insufficient elements for industrial integration, lagging digital infrastructure, and inadequate empowerment of digital inclusive finance. To address these issues, local governments have built digital financial sharing platforms by improving residents' digital literacy, strengthening the integration of digital assets and finance, and fostering cooperation among financial entities, thereby supporting the digital development of rural industries. This paper analyzes the development status, mechanisms, problems, and solutions in some regions, aiming to provide references for other areas to promote rural revitalization and common prosperity

Research on the Realization Path of Intangible Cultural Heritage Inheritance from the Perspective of Public Cultural Services: A Case Study of Yao Long-Drum Dance in S Town

Against the backdrop of constructing a modern public cultural service system, the intangible cultural heritage (ICH) inheritance faces multiple challenges, including the aging of inheritors, superficial application of technology, and weakening of cultural identity. Taking the Yao ethnic group's Long Drum Dance in S Town, G Province, as a typical case, this study systematically analyzes the internal mechanism and practical paths of ICH inheritance based on the Technology-Organization-Environment (TOE) framework. The research reveals that: the technology dimension breaks through the temporal and spatial barriers of inheritance through media innovation and spatial reconstruction, promoting the transformation of ICH from "closed skills" to "open resources"; the organization dimension relies on multi-stakeholder collaboration and institutional embedding to form a closed-loop link of "skill inheritance - knowledge dissemination - value transformation", breaking the dilemma of resource fragmentation; the environment dimension reconstructs the social legitimacy of ICH through cultural meaning re-production and dynamic adaptation to needs, promoting its upgrading from "static protection" to "dynamic evolution." On this basis, the study further proposes a "technology empowerment - organization collaboration - environment activation" holistic improvement path, emphasizing the need to achieve a systematic breakthrough in the living heritage of ICH through in-depth application of digitalization, optimization of the stakeholder network, and cultivation of the cultural ecosystem

The Impact of Modern Agricultural Parks on Regional Agricultural Economic Growth: A Case Study of Modern Agricultural Parks in Southwest China

The level of agricultural economic development is a critical indicator for assessing the achievements of rural revitalization and the construction of a modern agricultural power. How to elevate agricultural economic standards remains a significant challenge for China today. This study treats modern agricultural parks as a quasi-natural experiment and employs a multi-period difference-in-differences (DID) model to analyze panel data from 98 modern agricultural parks in southwest China, aiming to explore whether the construction of modern agricultural parks can influence regional agricultural economic growth. The findings demonstrate that the establishment of modern agricultural parks significantly enhances the level of agricultural economic development. This effect remains robust after conducting parallel trend tests, placebo tests, and propensity score matching (PSM)-DID checks. Further mechanism analysis reveals that such parks drive agricultural economic growth through innovations in agricultural technology. Additionally, heterogeneity analysis indicates that the policy effect of modern agricultural parks varies across regions, with stronger impacts observed in areas with moderate development levels compared to less developed regions. These research findings provide valuable insights for accelerating the construction of a socialist modern agricultural power in the new era and offer a theoretical foundation for advancing the modernization of agriculture and rural areas

Communities of Practice for Transforming Tacit Knowledge into Explicit Knowledge in Autism Literacy: A Comparative Study of Bolivia, Brazil, Ecuador, and Paraguay

This study examines pedagogical practices for autism literacy across four countries and explores the potential of establishing a communication network to facilitate the effective exchange of knowledge and experiences. By leveraging local cultural strategies, knowledge management, and organizational intelligence, the research aims to transform tacit knowledge—common in languages with phonetic simplicity, such as Latin-based languages—into explicit knowledge, particularly in countries with law-based educational frameworks. The study addresses key challenges in autism learning, including inattention, hyperactivity, impulsivity, anxiety, irritability, tantrums, defiance, and aggression. These difficulties are compounded by the widespread lack of recognition of the heterogeneity within the autism spectrum. Through interviews conducted in the selected countries, this research seeks to answer the following question: To what extent does the transformation of tacit knowledge into explicit knowledge impact autism literacy? The findings suggest that communities of practice play a crucial role in supporting pedagogical approaches, as many educators and caregivers feel overwhelmed and discouraged, often abandoning efforts due to a lack of understanding of literacy concepts, such as writing. Based on these insights, the study proposes the implementation of the phonemic method for literacy, along with a knowledge management portal that integrates learning resources, communities of practice, expert analyses, and semantic web technologies to enhance organizational intelligence in autism education

A Study on the Teaching Tasks and Objectives of Traditional Chanting in Sichuan Province from the Perspective of Intangible Cultural Heritage

As a carrier of intangible cultural heritage and an important method of ancient education and teaching, Sichuan traditional chanting is a creative way to promote the education of Chinese excellent traditional culture and foster the transformation and development of this culture. This paper analyzes the cultural and educational value of Sichuan traditional chanting in achieving the inheritance of regional cultural lineage, serving teaching, and promoting morality and human development, from the perspectives of historical development and educational functions. It also proposes methodological initiatives for integrating traditional chanting into modern education, providing a new paradigm for the inheritance of intangible cultural heritage and for the innovation and application of the traditional chanting teaching model

Analysis of Factors Influencing the Price of Beijing Carbon Emission Allowance Based on the VAR Model

Effectively constructing a carbon emission trading Market is crucial for China to achieve its goals of carbon peaking and carbon neutrality. However, carbon emission allowance prices are influenced by various factors. This paper employs a Vector Autoregression (VAR) model, using the average transaction price of Beijing Carbon Emission Allowances (BEA) as the research subject. It analyzes related indicators from four aspects: energy prices, macroeconomic conditions, environmental factors, and public sentiment. The results show that among energy price factors, coal and oil prices have a positive impact on BEA prices, while natural gas has a negative impact. Macroeconomic factors initially have a negative impact, followed by fluctuating recovery. Environmental factors, such as the Air Quality Index (AQI) and maximum temperature, initially have a positive impact on BEA prices, followed by fluctuating recovery, while the minimum temperature has the opposite effect. Public sentiment has a significant negative impact on BEA price fluctuations. The empirical results of this study can help investors better understand the changes in the prices of carbon emission allowance, provide references for policymakers, and offer foundations for constructing a national carbon emission trading market that reflects comprehensive and accurate information

The Impact of Family-Related Factors on Social Adaptation Competence in Preschool Children: An Empirical Investigation

In recent years, children's social adaptability has aroused widespread concern in the field of preschool education. As one of the key children's social abilities, this ability has greatly promoted the socialization process of children, and has been widely regarded as an indispensable part of modern preschool education, which is helpful to meet children's social and emotional needs, enhance self-awareness and play an important role in the healthy development of individual personality. The family is the first place for children to contact and live for a long time, the basic environment and the most important base for children's growth, and it has a subtle effect on the socialization process of children. Therefore, it is of great guiding significance to evaluate the development of children's adaptive behavior ability, explore the relationship between children's social adaptive ability and family and other influencing factors, and study its development law for promoting children's mental health development and early childhood education

Using virtual simulations with avatars to train preservice special educators’ relational competence toward students with neurodevelopmental conditions

Teacher-student relationships (TSRs) involving students with neurodevelopmental conditions (NDCs) are challenging and tend to be of lower quality compared to those involving neurotypical students. The purpose of this study is to explore in what respects the use of avatar technology can support the development of preservice special educators’(PSEs) relational competence toward students with NDCs. We used two data sources: focus group interviews (n = 18) and screen observations of the interactions (n = 37). The findings show that PSEs perceive relational competence as situated competence, manifested in the teacher’s ability to establish positive and supportive relationships through identification and management of emotions and active listening and validation. PSEs’ relational competence is reflected in their capability to show patience, encouragement, empathy, sensitivity, involvement, understanding, validation, and interest in interactions with students. Overall, the findings suggest that avatar technology is a meaningful and relevant tool to support the development of PSEs’ relational competence with regard to students with NDCs