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Librarians need to effectively communicate the need for space, resources and personnel, even in service or technical positions, yet librarians often lack formal leadership or strategy training on how to be most effective in advocating for the library. This paper presents the Five Finger Model as a communication strategy for training librarians on advocacy.

In order to show how the Five Finger Model can be helpful, we have included two case examples from our own work contexts, which are in academic libraries. We also present guidance on how to train library staff on the model.

In one example, the model was used for advocating for the library as part of the campus-level strategic planning process. In another example, the model was used to effectively market research consultations. These examples highlight how the Five Finger Model can help the communicator stay on topic and use personal stories to have a strong advocacy effect.

This paper is unique in that it shows how staff training on advocacy can be impactful and useful. We believe that putting tools like the Five Finger Model into the hands of staff not only improves their effectiveness but also empowers them to see their role as true advocates for the library.

The purpose of this article is to discuss the impact of an international book exchange project done with elementary students from a professional development school partnership on the understanding of project-based learning by pre-service teachers.

A collaborative project between a school in Uganda, a university teacher education preparation program in the United States and an elementary school resulted in a book exchange between the schools. The pre-service teachers worked to develop lesson plans related to social studies and language arts for students with and without special education needs. These lessons were then taught to students at an elementary school who are part of the university’s school partnership program. Upon completion of the book exchange, pre-service and in-service teachers reflected on their experiences.

Pre-service teachers reported that the project provided them a better understanding of collaborative work and project-based learning during their reflections and said they were more willing to take on large projects after seeing the buy-in and value for students.?

While pen pal and similar writing exchange programs are not novel, this project sought to explore the impact of having one embedded into a teacher training program on pre-service teacher perceptions of project-based learning and the potential impact to their future teaching practices.

This paper aims to explore the intricate relationship between artificial intelligence (AI) and health information literacy (HIL), examining the rise of AI in health care, the intersection of AI and HIL and the imperative for promoting AI literacy and integrating it with HIL. By fostering collaboration, education and innovation, stakeholders can navigate the evolving health-care ecosystem with confidence and agency, ultimately improving health-care delivery and outcomes for all.

This paper adopts a conceptual approach to explore the intricate relationship between AI and HIL, aiming to provide guidance for health-care professionals navigating the evolving landscape of AI-driven health-care delivery. The methodology used in this paper involves a synthesis of existing literature, theoretical analysis and conceptual modeling to develop insights and recommendations regarding the integration of AI literacy with HIL.

Impact of AI on health-care delivery: The integration of AI technologies in health-care is reshaping the industry, offering unparalleled opportunities for improving patient care, optimizing clinical workflows and advancing medical research. Significance of HIL: HIL, encompassing the ability to access, understand and critically evaluate health information, is crucial in the context of AI-driven health-care delivery. It empowers health-care professionals, patients and the broader community to make informed decisions about their health and well-being. Intersection of AI and HIL: The convergence of AI and HIL represents a critical juncture, where technological innovation intersects with human cognition. AI technologies have the potential to revolutionize how health information is generated, disseminated and interpreted, necessitating a deeper understanding of their implications for HIL. Challenges and opportunities: While AI holds tremendous promise for enhancing health-care outcomes, it also introduces new challenges and complexities for individuals navigating the vast landscape of health information. Issues such as algorithmic bias, transparency and accountability pose ethical dilemmas that impact individuals’ ability to critically evaluate and interpret AI-generated health information. Recommendations for health-care professionals: Health-care professionals are encouraged to adopt strategies such as staying informed about developments in AI, continuous education and training in AI literacy, fostering interdisciplinary collaboration and advocating for policies that promote ethical AI practices.

To enhance AI literacy and integrate it with HIL, health-care professionals are encouraged to adopt several key strategies. First, staying abreast of developments in AI technologies and their applications in health care is essential. This entails actively engaging with conferences, workshops and publications focused on AI in health care and participating in professional networks dedicated to AI and health-care innovation. Second, continuous education and training are paramount for developing critical thinking skills and ethical awareness in evaluating AI-driven health information (Alowais et al., 2023). Health-care organizations should provide opportunities for ongoing professional development in AI literacy, including workshops, online courses and simulation exercises focused on AI applications in clinical practice and research.

This paper lies in its exploration of the intersection between AI and HIL, offering insights into the evolving health-care landscape. It innovatively synthesizes existing literature, proposes strategies for integrating AI literacy with HIL and provides guidance for health-care professionals to navigate the complexities of AI-driven health-care delivery. By addressing the transformative potential of AI while emphasizing the importance of promoting critical thinking skills and ethical awareness, this paper contributes to advancing understanding in the field and promoting informed decision-making in an increasingly digital health-care environment.

There is coupling between the branches of mobile parallel robots, similar to traditional parallel mechanisms, but there is currently relatively little research on the coupling problem between the branches of mobile parallel robots.

This study optimizes the coupling analysis method of traditional parallel mechanisms, treats the mobile parallel mechanism as a whole, takes the motion of the active pair as input and the overall motion of the mobile parallel mechanism as output and analyzes the input–output characteristics of the mobile parallel mechanism. Moreover, this study applies this theory to a mobile parallel mechanism, designs control logic and finally conducts simulation and physical verification.

This study proposes a coupling analysis method suitable for parallel mobile robots and designs the control logic of their active pair based on the results of their coupling analysis. This study designs a multimode variable coupling parallel mobile robot, which can change the coupling of the mechanism by changing its own branch chain structure, so that it can switch between different coupling configurations to meet the different needs brought by different terrains.

The work presented in this paper propose a method for analyzing the coupling of mobile parallel robots and simplify their control logic by applying coupling theory to the design of mobile parallel robots. This study conducts simulation and physical experiments, thereby filling the gap in the coupling analysis of parallel mobile robots and laying the foundation for the research of uncoupled parallel mobile robots.

Beyond its initial hype, and based on original new surveying, this paper explores the impact of metaverse on business in the medium to long-term.

IBM Institute for Business Value, in collaboration with Oxford Economics, surveyed 400 C-Suite executives, (CEOs, CIO/CTOs and CMOs) in the U.S. across 25 industries on their investments in metaverse, business cases and outcomes.

Despite the media hype, the majority of investment in metaverse is B2B.

Although the biggest impacts of metaverse are medium to long-term, there are benefits immediately accessible in the short-term.

More success is likely if organizations develop metaverse strategies with ecosystem partners.

Metaverse was extremely fashionable, now far less so. Both extremes are inappropriate. Metaverse, especially as a B2B strategy, has an important role to play in an organizations' strategy.

Many businesses are making investments in metaverse. They should continue.

Metaverse impacts extends beyond B2C applications into the B2B workplace.

This work is completely original, based on new data and analysis that has not been published elsewhere.

The study aims to evaluate how different types of assurors and investors’ Big Five personality traits affect the relationship between levels of assurance for Greenhouse Gas (GHG) reporting and individual investors' decision-making in social responsible investment (SRI).

This study adopted an experimental approach with 315 individual investors as participants.

The results show that there are some differences in the individual investors’ decision-making. Accountants are the preferred assuror. Type of assuror and level of assurance for GHG reporting affect investors’ decision-making, in the presence of different levels of investors’ personality traits, extraversion, openness, conscientiousness and neuroticism. However, individual investors with different levels of agreeableness do not have similar influence.

This study extends the literature on individual investors’ decision-making in socially responsible investment by examining the combination of the type of assuror, level of assurance and investors’ personality traits. This study also observes three different assurors, accountants, engineers and specialists and four different assurance levels – reasonable, hybrid, limited and not specified.