bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolving Prefectural Libraries in Japan: A Comparative Study of Tokyo and Hokkaido
Authors: Takeuchi Mako , Igarashi Tomoya , Koizumi Masanori 
Published: October 2024

ABSTRACTTraditional roles of Japanese prefectural libraries involve supporting and advising municipal libraries. However, since the 2000s, their roles have diminished owing to financial downturns, an aging population, and municipal libraries' establishment, forcing them to redefine their missions and services to remain relevant. This study aimed to determine whether differences exist in the services of prefectural libraries based on the varying status of municipal libraries and to illustrate these differences through case studies on a pilot basis. The following three research questions were posed: (1) Do differences exist in the services provided directly to citizens? (2) Do differences exist in the services provided through municipal libraries? (3) Do differences exist in the services supporting municipal libraries? Using hierarchical cluster analysis, Tokyo and Hokkaido were selected for a comparative case study. The findings indicate significant differences in services, influenced by establishment rates and service levels among municipal libraries.
Health Advice from Instagram Influencers on Polycystic Ovary Syndrome (PCOS): Their Strategies to Establish and Manipulate Credibility
Authors: Trocchi Vanessa , Quan‐Haase Anabel , Rubin Victoria L. 
Published: October 2024

ABSTRACTIndividuals with polycystic ovary syndrome (PCOS) turn to Instagram influencers as an alternative or complementary PCOS information source to their physicians. However, the ambiguous qualifications of influencers, and contradicting claims regarding how to manage PCOS, make it difficult to identify credible sources. Using a directed qualitative content analysis, we examined the range of strategies that 10 Instagram PCOS influencers used to signal credibility. We found that influencers utilized a range of pseudo‐credibility strategies. Another key contribution of the study is a description of how PCOS influencers reference sources to signal credibility. We also found that Instagram PCOS influencers discuss what it means to be healthy with PCOS, and we describe how they contribute to a wider cultural participation in healthism. The findings build upon the source credibility literature to identify novel credibility cues used by influencers as social media platforms evolve, and further, reveal the underlying healthism‐centric discourse of PCOS influencers.
College Adjustment and Information Experience of First‐Generation College Students' Coursework and Extracurricular Learning
Authors: Tsai Tien‐I , Chen Ting‐Yu , Yeh Hsuan‐Tung , Chang Yu‐Hsuan , Lo Tzu‐Pin 
Published: October 2024

ABSTRACTThe current study aims to explore college adjustment and information experiences of first‐generation college students in coursework and extracurricular learning contexts. Information World Mapping visual‐elicitation interviews were conducted with 25 first‐generation college students from two elite universities in one university system. We found that while first‐generation college students tend to feel fallen behind, and be somewhat remote from professors and peers, they make use of all resorts to thrive in both coursework and extracurricular learning experiences. Most of their personal‐meaningful coursework experiences are academic group work; their extracurricular learning experiences are career‐oriented. Implications were discussed based on the findings.
The Impact of Preprints on COVID‐19 Research Dissemination: A Quantitative Analysis of Journal Publications
Authors: Tsunoda Hiroyuki , Sun Yuan , Nishizawa Masaki , Liu Xiaomin , Amano Kou , Kominami Rie 
Published: October 2024

ABSTRACTPreprints have played an unprecedented role in disseminating COVID‐19‐related science results to the public. The study aims to elucidate the role of preprints during the COVID‐19 public health emergency (2020–2023) through a quantitative analysis of journal papers. Among the 247,854 COVID‐19‐related papers published in PubMed, 12,152 were initially released as preprints and were eventually published in 1,380 journals. This number is more than five times the 246 journals to which submissions can be made directly from bioRxiv through the B2J program. Journals with higher impact factors and Normalized Eigenfactor scores tend to publish a larger number of preprint‐derived articles. The proportion of preprints among PubMed papers was 0.049, but this varies significantly by journal. In the top 30 journals, most exceed this proportion, indicating that these journals are preferred by authors for submitting their work. These findings highlight the growing acceptance and impact of preprints in the scientific community, particularly in high‐impact journals.
SMART: Search Maps and Routes/Trails of Both Subtasks and Sources to Support Complex Task‐based Search
Authors: Wang Afeng , Wang Fan , Zhang Zhijian , Zhao Yiming , Ma Feicheng 
Published: October 2024

ABSTRACTTowards the goal of constructing an agent that can assist users in completing complex tasks and searching for information from multiple sources. We propose a complex task‐supporting application, SMART (Search Maps and Routes/Trails), which combines complex task modeling through users' web activities and expands search support to include maps and routes/trails of both subtasks and sources within complex tasks through case‐based reasoning. We also summarize the results of a user study conducted to evaluate the usability of the SMART prototype system. The experimental results show that SMART could help searchers make search strategies, select information sources effectively, increase confidence during task performance, and improve search results. This highlights the value of both types of maps and routes/trails of subtasks and sources in complex task‐supporting.
What Makes an Answer Feel Credible: An Empirical Study on Information Credibility in Social Q&A Community
Authors: Wei Ziyi 
Published: October 2024

ABSTRACTAlthough the Social Q&A community has gained increasing popularity in solving issues in various fields, how users perceive the information credibility on this platform remains inconclusive. This paper developed the model to discuss the relationship between linguistic cues/perceived reputation and information credibility. Methodologically, the paper used an online survey to collect 759 units of valid data and test the model through the SEM technique. The results showed that perceived specificity, logic, relevance, and reputation are positively related to information credibility, while perceived expressed emotion showed a negative association. These findings help to inspire answer contributors to employ strategies to make their answers more credible.
Putting People First in Data Quality: Feminist Data Ethics for Open Government Datasets
Authors: Wickett Karen M. , Lamba Manika , Newman Jarrett 
Published: October 2024

ABSTRACTOpen government information systems offer great potential for advancing civic life and democracy, but they also reflect and reinforce the biases and systematic inequalities faced by members of socially marginalized groups. We present results from a critical data modeling project that uses a data quality framework to examine open datasets published by police departments in order to understand how data modeling choices shape the social impact of these datasets. Using an arrest record dataset published by the Los Angeles Police Department as a case study, we present we present results detailing the representation of racial data and the presence of children in the dataset. We argue that current data quality frameworks for open government data are insufficient for critical data studies due to an orientation around institutional and computational interests. Incorporating feminist data ethics into data quality analysis provides an approach to data quality that centers people and communities. We propose a definition for data quality of open government datasets based on an ethics of care that centers the needs of vulnerable populations and accountability of institutions toward their communities.
Indexing for Fine Arts Monographs: A Comparison Between User Queries and Controlled Vocabularies
Authors: Wu Shuheng , Tong Shunrong 
Published: October 2024

ABSTRACTPrior research suggested the empirical approach to indexing for fine arts based on users' search queries. This study examined the characteristics of user queries submitted to the library catalog of a fine arts academy, and compared users' search terms with controlled vocabularies to assess their levels of matching. Based on search‐log analysis, this study identified eight categories of user queries and 10 subcategories, indicating that the information needs of the fine arts community are diverse in language and culture and focus on named entities, disciplines, and various types and levels of fine arts. The mapping between user queries and controlled vocabularies found that around 20% of user search terms were non‐matching. Based on the findings, this study provided suggestions for improving the search functions of library catalogs and enhancing controlled vocabularies to support the retrieval of fine arts monographs.
Understanding Research Data Licensing in the Usage Categories
Authors: Yang Li , Kipp Margaret E. I. , Chen Jianyao 
Published: October 2024

ABSTRACTLicensing data is critical to promote research data sharing and reuse. There are many standard licenses, customized licenses, terms of use, and use agreements used in practice, which are heterogeneous and hard for data providers to choose. This study used a qualitatively‐driven‐mixed method, including stratified and systematic sampling methods, and Grounded Theory to explore data licensing of the Dataverse repositories. We focused on the data usage and created a list of categories of permitted and restricted data usage. The categories help data providers understand and choose appropriate licenses when sharing data. They also build a foundation for our future work to create a faceted knowledge structure for research data licensing.
The Role of Paying for Access in the Online Information Seeking‐Behavior of Canadian Midwives: Preliminary Findings
Authors: Yeboah Richmond B. , Bartlett Joan C. 
Published: October 2024

ABSTRACTIt is of paramount importance to support midwifery practice with research evidence. Nevertheless, Canadian midwives encounter significant obstacles in accessing research evidence for practice. As part of a broader study which seeks to identify an optimal method for providing midwives in Canada with access to online clinical resources, this poster reports on the preliminary findings of the survey phase. The objective of this study was to ascertain the frequency with which Canadian midwives utilize information sources accessible to them through institutional affiliations and to determine whether they are aware of the financial cost of providing such services. Additionally, the survey sought to ascertain whether their perception of a resource being free, or premium affects its perceived value and use intentions. A descriptive survey design employing a structured web‐based questionnaire was used to collect the requisite data. The preliminary findings indicated that participants perceived the value of free sources to be lower than premium sources and that they intended to use premium sources more frequently if they were able to pay for them. Moreover, the study demonstrated that participants frequently seek information online to support clinical practice, yet they utilize access to online resources through their institutional affiliation less so.
“All Eyes on McMinn:” Book Banning Discourse in the Age of Social Media
Authors: Zalot Andrew 
Published: October 2024

ABSTRACTThis project explores the intersection of local and online discourse around book bannings using the McMinn County School Board's decision in 2022 to remove Art Spiegelman's graphic memoir, Maus, from their school curriculum as a case study. Through interviews with McMinn County residents and data collected from Twitter, I argue that social media has altered book banning discourse. I interviewed 10 residents and asked them to discuss their experiences when Maus was removed by the school board and to reflect on how the local community responded amidst worldwide scrutiny online. Discourse on Twitter involved collecting over 2000 tweets mentioning the @McMinnCountySch account and tweets discussing Maus to understand online responses to the board's decision. I use Danielle Allen's discourse flow model as the theoretical framework for this project. In my initial findings, discourse began at the local level before traveling online and then back into the local space. Ongoing data analysis has shown that locally, residents were concerned with the board's decision along with the perception of their community once news of the banning spread. This is supported by Twitter discourse, where many tweets cast the McMinn County community in a negative light based on the school board's actions.
Putting People First: A Multimodal Bi‐Stream Structure‐based Model for Bias Mitigation
Authors: Zhou Shu , Bu Wenru , Li Xiaomin , Wang Hao 
Published: October 2024

ABSTRACTResearch into multimodal model biases has largely concentrated on gender and racial issues, neglecting key areas such as biases related to religion, nationality, sexual orientation, and disabilities, as well as the subtleties of question intent and common biases. To address these gaps, we developed the Multimodal Bi‐Stream Structure‐based Model (MBSS) for Bias Mitigation, an innovative approach that focuses on these underrepresented groups by focusing on religion, nationality, sexual orientation, and disability but also to identify common biases and question intents. The MBSS employs a dual stream bias mitigation system, where the standard stream addresses common biases and the mitigation stream targets specific biases, allowing for nuanced and effective bias reduction by making decisions based on the difference in predicted probabilities between these two streams. Empirical results demonstrate MBSS's efficacy, especially in reducing religious bias by up to 71%, highlighting its potential to foster a more inclusive digital environment and enhance the representation of diverse groups.
A tale of two disasters: Unpacking how social learning from the Ebola epidemic shaped COVID‐19 response in informal settlements in Freetown
Authors: Diko Stephen Kofi , Okyere Seth Asare , Frimpong Louis Kusi , Mensah Stephen Leonard , Abunyewah Matthew , Amankwaa Gordon 
Published: October 2024

AbstractPrior disaster experiences often provide lessons for communities to respond to new disasters. In informal communities prone to disasters but conditioned within reactive disaster management regimes, residents and Community‐Based Organizations (CBOs) play immense roles in disaster risk reduction and response. In Freetown, Sierra Leone, limited government disaster capacities during health disasters like Ebola and the COVID‐19 pandemic occasioned community action led by residents and CBOs. This paper, utilizing qualitative data, draws on the social learning theory to unpack how residents’ and CBOs’ experiences with the Ebola epidemic provided profound lessons that contributed to the COVID‐19 pandemic response in two informal communities. Findings highlight how prior disaster experiences consolidate memory and generate attention, retention, motivation, and reproduction of lessons for future disasters. The paper also fronts how lessons from peoples’ lived experiences with disasters can offer pluralistic ways of knowing about disasters and responding to future risks through co‐productive and equitable strategies.
Preparation, Characterization, and Adsorption Performance of H2TiO3 Lithium Ion Sieves with Homogeneous Nanoparticles: Kinetics, Thermodynamics, and Mechanism Analysis
Authors: Liu Jing , Xu Nai‐Cai , Shi Dan‐Dan , Cao Yue , Zhang Tian‐Ying , Zhong Kai‐Peng , Zhao Qi , Bian Shao‐Ju 
Published: October 2024

AbstractLi2TiO3 precursor with layered structure is successfully prepared by template‐free method using anatase TiO2 and Li2CO3, followed by the treatment of dilute hydrochloric acid, which leads to obtaining H2TiO3 lithium ion sieve nanoparticles with uniform dispersion and small size. The adsorption performance and mechanism of the H2TiO3 are being studied. The experimental results show that the H2TiO3 lithium ion sieve has a large BET specific surface area (19.10 m2 g−1) and good thermal stability. At the same time, it also has a high adsorption rate and adsorption capacity (55.13 mg g−1) towards Li+ in solution due to its high dispersibility and uniformity of particle size, which can expose more adsorption sites in LiCl solution. The adsorption capacity of the H2TiO3 lithium ion sieve can reach 46.63 mg g−1, which achieves 84.58% of the equilibrium adsorption capacity. The equilibrium adsorption parameters follow the Langmuir model perfectly, demonstrating that Li+ undergoes monolayer adsorption. The results of thermodynamic and kinetic analysis show that the adsorption behavior of H2TiO3 is spontaneous and conforms to the pseudo‐second‐order kinetic model, indicating the adsorption process is controlled by chemosorption. In addition, after five adsorption/desorption cycles, the H2TiO3 lithium ion sieve still shows a high adsorption capacity of 46.15 mg g−1, and the dissolution loss of titanium is only 0.14%, which shows that the cycle stability is excellent. XPS and zeta potential analyses illustrate that the adsorption mechanism of Li+ on the H2TiO3 is an ion exchange reaction between Li+ and H+, combined with the electrostatic attraction of the adsorbent surface. Additionally, the adsorption performance of H2TiO3 lithium ion sieve in West Taijinaier Salt Lake brine was tested, and the adsorbent material proves itself is a perspective candidate for lithium extraction from aqueous lithium resources.
Valuing who we are in relation to others: The ‘praxis of co’ in an Anthropocene‐world. The 2025 agenda for the cybersystems community
Authors: Klein Louis , Buckle Pamela , Nguyen Nam , Preiser Rika , Vandenbroeck Philippe , Ison Ray 
Published: October 2024

AbstractIn our Agenda Essays to date, we have argued the need to frame contemporary circumstances in terms of the Anthropocene‐world we humans have created. We also prioritise the five‐decade‐old, prescient analysis of humanity's predicament as the ‘global problématique.’ Earlier, we advocated for identifying comprehensive modes of ‘collaborative agency’ to better unleash the transformative potential inherent in cybersystems thought and action. In the present essay, we continue this reflection. What does the enhancement of collaborative agency look like, and what can various modes hope to deliver? To what extent does immersion in cybersystemic traditions inform the design possibilities for acts of co? We offer critical reflections on the individual, organisational and community ecologies within which this ‘praxis of co’ is emerging. A key take away here concerns how processes of valuing shape the enactment of the ‘praxis of co,’ particularly as it cannot be realised outside conversation. Understanding oneself is always and inescapably conducted in relationship with others, but progress in the ‘praxis of co’ requires a dance between responsibility and response‐ability—an ethic (responsibility) that exists in duality with enablement or affordance (response‐ability). Moves towards organisational or operational interdependence are contingent on responsible autonomy, grounded in an axiology that is both operational and ethically defensible.
Progressive collapse resistance of prestressed concrete frame structures with infill walls considering instantaneous column failure
Authors: Qu Tao , Zeng Bin , Zhou Zhen , Huang Linjie , Chang Dong 
Published: October 2024

AbstractPrestressed concrete frames with infill walls (IW‐PC frames) are commonly used in civil engineering as a structural element. The possibility of structures undergoing progressive collapse is a cause for concern due to its severe consequences. This has become a significant topic in the academic community in recent years. However, research on the resistance of IW‐PC frame structures to progressive collapse is still insufficient. Therefore, this paper investigated the dynamic effects of progressive collapse on the IW‐PC frame, reinforced concrete frame with infill walls (IW‐RC), prestressed concrete frame (PC), and common reinforced concrete frame (RC). The study was conducted using the finite element software OpenSees. The study revealed that the vertical displacement during stabilization of the IW‐PC frame increased by 92.5% and 71.7% compared to the IW‐RC frame and decreased by 93.9% and 92.6% compared to the PC frame for middle column and side column failure, respectively. Additionally, the IW‐PC frame exhibited the highest dynamic load carrying capacity, which was 7.67 and 7.56 times higher than that of the RC frame, respectively. The mechanical properties of the frame were altered by the coupling effect of prestressed tendons and infill walls, making the IW‐PC frame more monolithic.
The long arc of learning: Perspectives and innovations from 20 years of U.S. National Professional Development Program projects
Authors: Teemant Annela , Sherman Brandon J. , Tyra Serena 
Published: October 2024

AbstractU.S. National Professional Development (NPD) grants can afford a longitudinal understanding of how teachers learn to support English learners. When NPD projects are completed successively and successfully, they can provide an even greater longitudinal arc of understanding. This article chronicles the designs and lessons learned across five NPD grants between 2002 and 2023. Each grant represents a snapshot in time, presenting a set of assumptions from the field, programmatic innovations, and insights from research outcomes. From highlighting the difference between incremental and radical pedagogical change and what it takes to move beyond individual teacher change to systemic change benefiting multilingual learners, the article outlines the succession of aspirations (capacity building, sustainability, and scalability), experiences, changing conditions, and data points framing lessons learned and new cycles of praxis. This article offers implications for theory, practice, and research. It stands as an argument for adapting, innovating, and moving beyond the status quo to inspire more innovation in teacher preparation for multilingual learners.
Mathematical thermo‐mechanical analysis on flame‐solid interaction: Steady laminar stagnation flow flame stabilized at a plane wall coupled with thermo‐elasticity model
Authors: Yu Chunkan , Malayeri Mohammad Mahdi , Böhlke Thomas , Chen Zheng , Minuzzi Felipe 
Published: October 2024

AbstractA laminar stagnation flow flame stabilized at a plane wall is theoretically analyzed, coupled with a thermo‐elasticity model in the wall. Mathematical models for both the flame and the wall will be proposed, and corresponding analytical solutions based on their dimensionless forms will be obtained. The mathematical analysis of this flame‐solid interaction primarily focuses on the effect of the flame on combustion‐induced thermo‐mechanical stresses and the influence of wall material on flame properties such as flame temperature and stability against extinction. A sensitivity analysis is further performed to examine how thermo‐mechanical stress inside the wall is affected by changes in other combustion conditions (e.g., mixture composition, flame stretch rate). This study offers valuable insights into understanding the interaction between flames and solids, a relationship crucial in engineering applications such as the interaction between combustion processes and blades within gas turbine machinery.