[Purpose/Significance] To explore in depth the acceptance and usage habits of AIGC tools by graduate students in the process of academic research, and to promote the positive attention and application of emerging technologies by graduate students is one of the goals of library knowledge service and information literacy education. This paper aims to reveal the influence mechanism of internal and external factors on the use of AIGC tools by graduate students at the user level, clarify the behavioral motivation of graduate students to use AIGC tools to support learning and research, help libraries to design and promote AIGC services according to the actual situation, and promote the implementation of AIGC technology in knowledge services. [Method/Process] Based on the UTAUT2 model, considering related theories such as perceived value and the characteristics of AIGC tool and graduate student group, this study constructed the influencing factor model of graduate students' AIGC tool use behavior, and provided empirical evidence through questionnaire survey and structural equation model analysis. The survey respondents are graduate students in universities or research institutes. In this study, questionnaires were distributed to graduate students through social media platforms, enterprise Wechat contacts, email, etc., and the survey period was from July to August 2024. After the data collection, statistical software such as SPSS and SmartPLS was used to analyze all the valid data obtained, including descriptive statistics, reliability and validity test and structural equation model analysis. [Results/ [Conclusions] Functional value, use value and emotional value in the tool aspect, individual innovation in individual aspect and social influence in environmental aspect have significant positive effects on graduate students' willingness to use AIGC tools, and indirectly affect their use behavior. Facilitating conditions, such as network equipment, as supporting factors, also have a significant positive impact on graduate students' usage. It is suggested that AIGC tool developers and library service designers consider the functional advantages and convenience. On the one hand, it is suggested that they pay attention to the functional value of the tool, that is, the auxiliary role to the graduate study and scientific research; on the other hand, they consider whether the tool is design-friendly, easy to operate, with low technical threshold and easy to use on an ongoing basis. From a graduate education perspective, it is important to promote the deep integration of the tool use with one's own professional learning and research in order to realize the improvement of other qualities through information literacy. Meanwhile, strengthening students' innovative thinking and comprehensive ability training, and guiding AIGC tool application ability and scientific research thinking to promote each other are conducive to new technologies to truly support learning and scientific research, and ultimately achieve the goal of developing high-level innovative talents.

[Purpose/Significance] As China's population ages, the health status and information accessibility of rural elderly groups have become the focus of public attention. This study aims to explore the factors influencing the online health information access behavior of the elderly in rural areas of western China, with the aim of improving the current situation of this group's access to information, increasing the efficiency of their access to health information, narrowing the digital divide, and providing references for promoting the "Healthy China 2030" strategy. [Method/Process] Thirteen rural villages in the Guanzhong region of Shaanxi province were selected as the research sites to collect primary data through face-to-face in-depth interview. Based on the grounded theory and three-level coding with the help of qualitative analysis software NVIVO, we constructed a model of factors influencing the access to health information among the rural elderly in western China by taking into account the three behavioral modes of health information search, health information encounter, and health information substitution search. [Results/ [Conclusions] The health information seeking behaviors of western rural elderly groups were influenced by information, personal factor, social factor and media. Among them, the cultural level, media literacy, and subjective perception of personal factors directly affect the demand for and access to health information by the elderly; medical concepts are more influenced by social factors. Social factors, such as family support, social networks, and the availability of local healthcare resources significantly influence how older adults access health information and its effectiveness. Content specificity and quality reliability of information factors are key factors that drive or hinder older adults' willingness to access online health information. The media, as an external context, plays a mediating role in older adults' active or passive access to health information, with short video platforms and social media in particular becoming important channels. In addition, the study found that the roles of health information acquisition among the rural elderly could be categorized into passive recipients, limited participants and active searchers of health information, and based on this, a three-dimensional "R-P-S" model was constructed to describe the online health information acquisition status of the rural elderly. This model represents the developmental trajectory of this group's online health information access status, and as health information literacy improves, individuals may move from one stage to another more mature stage. Finally, interventions for different roles in health information access are proposed to better meet the health information needs of the rural elderly population.

[Purpose/Significance] American university libraries have accumulated rich experience in strategic planning with their advanced concepts and practices. This article analyzes the content and development trends of strategic planning in American university libraries from two dimensions, and provides an in-depth understanding of the key elements and future directions of strategic planning in university libraries. In the relevant knowledge system, it provides a new reference perspective for Chinese university libraries. Compared with previous studies, this study provides a more systematic analysis of the content and development trends of strategic planning in American university libraries. It helps to promote in-depth research on strategic planning in the field of library science. By addressing important major practical issues, specific ideas and methods can be provided for the strategic planning of university libraries in China. [Method/Process] This article uses online surveys and content analysis methods. The online survey method can widely collect information related to the strategic planning of American university libraries, which is efficient and convenient; the content analysis method can deeply analyze the main content and development trends, which is relatively systematic and objective. This article is based on the relevant theories of library strategic planning and academic research achievements in libraries. Through online surveys, it obtains strategic planning texts and other materials published by major libraries, and analyzes the actual strategic plans of prominent university libraries in the United States as an basis for research and analysis. [Results/Conclusions] The research suggests that the key elements of strategic planning for prominent university libraries in the United States can be summarized as strengthening collaboration and sharing, promoting world-class collections and services, understanding internal and external environmental factors, improving management levels, and enhancing technical service support. The main trends of its strategic planning development are the trends of service development, collection development, organizational development, and cooperative development. Finally, considerations for the strategic planning of university libraries in China are proposed. Suggestions are put forward for Chinese university libraries to strengthen cooperation, optimize collections, and improve service levels. The limitation of this study lies in its limited scope and lack of in-depth case studies. In the future, the scope of the research can be extended to more countries, in-depth case studies can be conducted, dynamic changes in the implementation of strategic planning can be tracked, and the future direction of university libraries in combination with the development of new technologies can be explored.

[Purpose/Significance] With the advancement of open science, the signing of transformative open access agreements will have a profound and long-term impact on the acquisition of library information resources. How libraries respond to this trend, how to evaluate open access conversion agreements, whether to sign reasonable open access conversion agreements, and actively adopt them suitable for China's domestic conditions, and scientific and effective collection acquisition and transformation strategies in an open publishing environment, how to ensure reasonable investment of institutional publishing funds, and how to play a role in promoting positive academic exchanges in an open scientific environment are all important issues that deserve industry attention and exploration. [Method/Process] We first reviewed the research progress on open access transformation at home and abroad. Second, based on the data statistics and analysis of DOAJ and related research reports and institutions, the relatiave concepts were elaborated, the impact on stakeholders was examined, and the trend of practical development was understood. Through the analysis and induction of practical cases in domestic and foreign university libraries, especially through the case analysis of the library of Shanghai Jiao Tong University, we elaborated on the issues that Chinese university libraries need to pay more attention to in the process of open access transformation, and proposes related strategies. [Results/Conclusions] To cope with the open access movement, on the one hand, we need to be vigilant against the emergence of new knowledge "barriers" and "paywalls" due to profit-driven, high APC, and transformative costs, as well as the lack of regulatory norms for author payments and the existence of financial risks and loopholes such as taxation. On the other hand, all parties adhere to the original intention of promoting the dissemination of academic knowledge, forming a transparent and reasonable APC price ecological market, establishing a hierarchical, reliable, and sustainable open publishing funding support, transformation, and regulation mechanism, and creating an economic and healthy academic information exchange environment. In this process, it is necessary for university libraries to comprehensively coordinate subscription fees and publishing fees, and fully guarantee and restructure knowledge exchange and information dissemination. This paper summarizes the three issues that need to be considered in the process of open access transformation, including the impact of open access on stakeholders, the phenomena that need to be monitored, and the key to ensuring sustainability. We proposed implementation strategies based on practical cases, including research and data preparation, analysis and evaluation, focusing on specific implementation points such as controlling elements of contract terms. The OA transformation is still in the transition period, and in order to avoid the loss of funds due to double payments, some overall management and guidance systems are needed during this period. For some publishers that prioritize commercial profit, it is necessary to send strong signals and strengthen supervision of APC pricing rationality through alliances and other levels. In addtion, we must strengthen China's leadership and discourse power in open science, and carry out the construction of related supporting systems.

[Purpose/Significance] In the context of digital rural development, farmers' digital literacy is greatly influenced by both intrinsic motivations and external influences. Cultivating digital literacy is of great significance in accelerating farmers' integration into the digital process, promoting the construction of digital villages, and facilitating the revitalization of rural talent. As an innovative mechanism for farmer education, the synergistic cultivation of farmers' digital literacy is poised to emerge as a critical research focus in the revitalization of rural talent. [Method/Process] Drawing from activity theory, the static components of this synergistic cultivation - consisting of the interrelated elements of goals, core aspects, and mediating factors - offer a nuanced perspective on the intricacies involved in enhancing farmers' digital literacy. The framework includes production, communication, sharing, and collaboration subsystems that together form a dynamic structure for cultivating farmers' digital literacy. By examining both static activity elements and dynamic operational systems, we conducted an in-depth analysis of the challenges encountered within each subsystem during collaborative cultivation efforts. [Results/Conclusions] We recommend the optimization strategies such as refining the use of tools, improving the regulatory framework, maximizing the potential for collaboration, and establishing sustainable mechanisms. The farmers' digital literacy collaborative cultivation activity model constructed in this paper is based on the background of digital rural construction and high-quality farmer cultivation. With the agricultural broadcasting school (center) as the core subject, it interacts and cooperates with other communities, and through the online digital platform and offline regular practice tools, it realizes the embedding of tool use, the improvement of the rule system, the long-term cooperation of activities, and the close participation and co-construction through the interaction and coordination of the four subsystems of production, sharing, communication and cooperation. It is closer to the digital scene requirements of farmers' cultivation. Moreover, few studies have applied activity theory to the cultivation activities of farmers' digital literacy, and analyzed the interaction and coordination process among elements from a dynamic and holistic perspective. The proposed framework for synergistically cultivating farmers' digital literacy not only provides detailed insights into educational practices, but also offers theoretical foundations for improving practical pathways in this area. The limitation of this article lies in the fact that the collaborative mechanisms and existing problems among the subsystems in the collaborative cultivation model of farmers' digital literacy have not been systematically sorted out. In response to the above limitations, continuous research based on the integration of different perspectives and methods will be conducted on the hot topic of cultivating farmers' digital literacy, which is "always in progress".

[Purpose/Significance] Rich Internet data provide a multi-dimensional perspective for understanding emergencies, and multimodal emergency classification methods have emerged. However, the existing multimodal datasets of emergencies are not only scarce, but also lacking in diversity in categories, which is not enough to support related research, and greatly affects the progress of subsequent research. Compared with previous public datasets, the dataset constructed in this paper has richer categories and more improved modalities. This dataset solves the key gaps in the availability and diversity of multimodal datasets of emergencies. It not only expands the category range, but also provides more detailed classification in the natural disaster category, which is crucial for developing robust and accurate multimodal classification models. [Method/Process] An emergency event dataset (MEED) based on multimodal information was constructed, which contains data from five categories: accident disasters, public health, social security, natural disasters, and non-emergency events. The natural disaster data are divided into seven subcategories: geological disasters, biological disasters, drought disasters, marine disasters, meteorological disasters, earthquake disasters, and forest and grassland fires. [Results/Conclusions] The existing emergency classification methods were analyzed and validated on the emergency public dataset and MEED. The results showed that MEED helped improve the performance of multimodal models by more than 10% compared with the currently available emergency datasets. The results show that the improvement in model performance highlights the value of MEED in promoting emergency management and response research and applications. The dataset enables researchers and practitioners to better understand the complexity of emergencies and develop more effective prevention, mitigation, and response strategies. The improvement in model performance also shows that multimodal methods are a promising direction for analyzing emergency events because it leverages the advantages of different types of data to achieve higher accuracy and reliability in classification tasks. The creation of MEED is a major advancement in the field of emergency management, providing researchers with a valuable resource and potentially leading to the development of more sophisticated tools for responding to emergencies. However, the dataset still has certain limitations. Over time, the number of emergencies on the Internet continues to grow, which requires us to continuously update the dataset to adapt to new situations. The size of the dataset largely determines the performance of the classification model. The class imbalance problem of the emergency dataset constructed in this paper needs to be solved. In future research, we will continue to update and maintain the dataset in a timely manner to address these issues.

[Purpose/Significance] A thorough understanding of algorithm aversion among social media users, encompassing its manifestations and underlying causes, is crucial in the algorithmic era. This understanding serves as the cornerstone for accurately capturing users' information needs and preferences, which are constantly evolving due to technological advances and changes in societal behaviors. By studying how users perceive, interact with, and respond to algorithmic recommendations and personalizations, researchers can gain insight into the effectiveness and limitations of current algorithmic technologies. These insights are invaluable for improving and optimizing algorithms to ensure that they not only meet user expectations, but also enhance their overall experience and satisfaction. Moreover, understanding algorithm aversion can help design more ethical and transparent algorithms, foster trust between users and technology, and ultimately promote the sustainable development of the digital economy. In addition, this research has broader implications for the fields of human-computer interaction, artificial intelligence, and social media studies. By exploring the psychological, social, and cultural factors that influence users' attitudes and behaviors towards algorithms, researchers can contribute to the development of more user-centered and socially responsible technologies. This, in turn, can lead to more inclusive and equitable digital environments, where everyone can benefit from the advances of technology. [Method/Process] This study employed a qualitative research approach, which is well suited for exploring complex and nuanced phenomena such as algorithm aversion among social media users. Qualitative research allows for the collection of rich, detailed, and contextually embedded data, enabling a deeper understanding of the subject matter. To accomplish this, the study included in-depth interviews with 26 respondents, who were selected for their active use of social media and their diverse experiences and perspectives on algorithmic recommendations and personalizations. The interviews were conducted using a semi-structured format that allowed for flexibility in the conversation while still addressing key research questions and themes. This approach allowed the researchers to gain detailed insights into the participants' attitudes, beliefs, and experiences with algorithms, as well as their perceptions of the consequences of algorithm aversion. A rigorous coding process was used to analyze the collected data. This involved breaking down the textual data into smaller, manageable units, or codes, which were then categorized and grouped based on common themes and patterns. The coding analysis focused on three main areas: the expression of algorithm aversion, the formation mechanisms of algorithm aversion, and the consequences of algorithm aversion for social media users. Drawing on qualitative research paradigms, the analysis resulted in the construction of a theoretical model analysis framework specifically tailored to algorithm aversion among social media users. This framework provides a structured way to understand the complex interplay between users' attitudes, beliefs, and behaviors towards algorithms, and the factors that influence these attitudes and behaviors. The framework also highlights key consequences of algorithm aversion, such as reduced trust in social media platforms, decreased engagement with algorithmic recommendations, and potential negative impacts on user experience and satisfaction. [Results/Conclusions] The results reveal three distinct forms of algorithm aversion among social media users: algorithmic interruption, algorithmic complaint, and algorithmic evasion. These forms have significant implications for individuals, organizations, and society. Additionally, the study identifies personal factors, algorithmic technology factors, and social environment factors as key drivers of algorithm aversion. A comprehensive framework for analyzing the formation mechanism of algorithm aversion, based on the concept of "individual-algorithm-social environment," is extracted. Based on this framework, the study proposes research paths and coping strategies from three perspectives: theoretical research, technical research, and humanistic research. These recommendations aim to effectively address and mitigate algorithm aversion among social media users.

[Purpose/Significance] Culture and tourism integration services for children have become an important way for public libraries to cultivate the quality of children's services, providing a feasible intervention path for children to understand and enjoy the library and participate in social exchanges. They have received increasing attention and active exploration from public libraries, and have emerged as distinctive practical cases of culture and tourism integration services, promoting the vigorous development of culture and tourism integration services in public libraries. [Method/Process] Based on existing research, this paper explores and summarizes the core orientation of culture and tourism integration services for children in public libraries, which includes four aspects: meeting children's needs for knowledge and exploration, providing equal opportunities for children's participation, serving the cultivation of children's comprehensive qualities, and enhancing their social communication functions. The Paper selected the "Starting from the Library" culture and tourism integration service brand of Changfeng County Library and conducted an in-depth analysis of the case from two aspects: the dynamic development of theme activities and the characteristics of demonstration and promotion value. This case was found to have a promoting effect on children's growth, the expansion of library services, and the development of the rural cultural tourism economy. At the same time, a study was conducted on the culture and tourism integration service case of "Listening and Understanding Bengbu · Walking and Reading in Zhucheng" in the Children's Library of Bengbu City. It was found that the characteristic of this case is to build a systematic service system by combining local characteristics and expanding the culture and tourism integration service model, in order to summarize the practical value of this case. Based on the preliminary analysis of two cases, the paper further analyze the characteristic experience of the cases, and point out that paying attention to grassroots linkage, strengthening political and social cooperation, giving full play to cultural guidance, and promoting resource integration are conducive to improving the level of culture and tourism integration services for children. [Results/Conclusions] Based on the practical case analysis and compared with the core orientation of culture and tourism integration services for children, it is pointed out that the development strategies for promoting the culture and tourism integration services for children in public libraries include increasing service innovation to enhance brand effect, considering individual differences to meet personalized needs, and promoting political and social interaction to achieve multi-party cooperation. In the future, public libraries must pay attention to creating a good environment for the culture and tourism integration services for children.