bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring the angular momentum of a neutron using Earth's rotation
Authors: Geerits Niels , Sponar Stephan , Steffen Kyle E. , Snow William M. , Parnell Steven R. , Mauri Giacomo , Smith Gregory N. , Dalgliesh Robert M. , de Haan Victor 
Published: January 2025

A coupling between Earth's rotation and orbital angular momentum (OAM), known as the Sagnac effect, is observed in entangled neutrons produced using a spin-echo interferometer. After correction for instrument systematics the measured coupling is within 5% of theory, with an uncertainty of 7.2%. The OAM in our setup is transverse to the propagation direction and scales linearly with neutron wavelength (4–12.75 Å), so the Sagnac coupling can be varied without mechanically rotating the device, which avoids systematic errors present in previous experiments. The detected transverse OAM of our beam corresponds to 4098±295ℏÅ−1,105 times lower than in the previous neutron experiments. This demonstrates the feasibility of using the Sagnac effect to definitively measure neutron OAM and paves the way towards a future observation of the quantum Sagnac effect.

Published by the American Physical Society
2025
Study on corrosion monitoring and assessment method of reinforced concrete based on multi-sensor fusion
Authors: Lin Xumei , Wang Peng , Wang Shiyuan , Shen Jiahui 
Published: January 2025

Purpose
The purpose of this paper is to investigate the accurate monitoring and assessment of steel bar corrosion in concrete based on deep learning multi-sensor information fusion method. The paper addresses the issue of traditional corrosion assessment models relying on sufficient data volume and low evaluation accuracy under small sample conditions.

Design/methodology/approach
A multi-sensor integrated corrosion monitoring equipment for reinforced concrete is designed to detect corrosion parameters such as corrosion potential, current, impedance, electromagnetic signal and steel bar stress, as well as environmental parameters such as internal temperature, humidity and chloride ion concentration of concrete. To overcome the small amount of monitoring data and improve the accuracy of evaluation, an improved Siamese neural network based on the attention mechanism and multi-loss fusion function is proposed to establish a corrosion evaluation model suitable for small sample data.

Findings
The corrosion assessment model has an accuracy of 98.41%, which is 20% more accurate than traditional models.

Practical implications
Timely maintenance of buildings according to corrosion evaluation results can improve maintenance efficiency and reduce maintenance costs, which is of great significance to ensure structural safety.

Originality/value
The corrosion monitoring equipment for reinforced concrete designed in this paper can realize the whole process of monitoring inside the concrete. The proposed corrosion evaluation model for reinforced concrete based on Siamese neural network has high accuracy and can provide a more accurate assessment model for structural health testing.
Gain scheduling of backstepping sliding mode controller using optimized type-1 Sugeno fuzzy logic approach for quadcopter
Authors: Sharma Arpit , Lather Jagdeep Singh 
Published: January 2025

Purpose
This paper aims to propose an optimized type-1 Sugeno fuzzy logic backstepping sliding mode controller (T1-SFL-BSMC) to control the altitude and rotational behaviour of a quadcopter. The proposed controller improves the performance of the system by overcoming the limitations of conventional trial-and-error techniques for BSMC gain design.

Design/methodology/approach
In this study, the type-1 Sugeno fuzzy logic controller (T1-SFLC) technique is proposed which dynamically modifies the BSMC gains. In addition, the parameters of T1-SFLC are further tuned by five different optimization techniques, namely, genetic algorithm, particle swarm optimization (PSO), pattern search (PS), simulated annealing (SA) and adaptive neural network (ANN).

Findings
The effectiveness of these optimization techniques in tuning the T1-SFLCs for the gain scheduled BSMC is evaluated in terms of time response metrics; rising time, settling time and root mean square error (RMSE) for altitude and rotational behaviour. The results demonstrated that PSO-optimized T1-SFL-BSMC provides better responses in terms of time response metrices with reduced rise and settling times and minimized RMSE when compared to other optimized T1-SFL-BSMC.

Originality/value
This paper proposes a novel approach for controlling quadcopters by combining fuzzy logic with a BSMC. It is then improved by using many optimization strategies. A more dependable and effective approach to controller design is provided by the suggested method, which is essential for unmanned aerial vehicle applications.
“Hey librarian, what can AI and analytics do for you”: a systematic literature review and sociotechnical perspective
Authors: Bawack Ransome , Bawack Roseline 
Published: January 2025

PurposeThis study aims to provide an in-depth overview of current research on artificial intelligence (AI) and analytics applications in library operations, emphasizing their adoption’s technical and social implications.Design/methodology/approachThe study follows the PRISMA guidelines to synthesize existing research on AI and analytics in academic libraries. This review uses sociotechnical systems (STS) theory as a framework to evaluate the technical aspects and social dynamics involved in integrating these technologies.FindingsThe findings indicate that AI and analytics can significantly enhance library resource management, decision-making and user services. However, ethical, social and technical challenges, including staff training and collaboration, must be addressed to ensure responsible implementation.Originality/valueThis study provides the first STS-informed analysis focusing on applying AI and analytics within academic library operations. It offers actionable insights into these technologies’ unique applications and potential, bridging a gap in the literature on library-specific operational management.
Promoting health behavioral intention through short videos: roles of audiovisual cross-modal correspondence in health communication
Authors: Xu Yanrun , Jiang Tingting , Hu Xiao , Tian Huiyi 
Published: January 2025

PurposeHealth short videos are serving as a powerful tool for encouraging individuals to actively adopt healthier behaviors. The sensory cues applied in these videos can be useful for engaging peripheral processing and enhancing attitudes. While previous research has examined the effects of various single cues, this study features a pioneering attempt to explore the roles of audiovisual cross-modal correspondence, encompassing multisensory cues perceived through different modalities, in health communication.Design/methodology/approachA 2 (color: warm/cool) × 2 (music tempo: fast/slow) between-subjects experiment was conducted to observe 120 participants’ responses to a health short video promoting eye health that was created using four different combinations of background color and background music tempo.FindingsIt was found that the congruent color–tempo pairings, that is blue & slow and orange & fast, led to more positive attitudes toward the videos than the incongruent pairings, that is blue & fast and orange & slow. The effect of cross-modal correspondence on attitude was fully mediated by processing fluency, with gender acting as a moderator between the two variables. Furthermore, individuals’ attitudes toward a short video positively influenced their health behavioral intentions.Originality/valueThese findings not only lend support to the theoretical framework of “multisensory cues-fluency-attitude-intention” chain for persuasion purposes but also have practical implications for creating effective health short videos.
Implementing the what I need (WIN) plan in a community forensic intellectual disability team
Authors: Clarke Sadie , Smith Andy , Chester Verity , Patteril Elizabeth , Alexander Regi 
Published: January 2025

Purpose
Government policy in the UK is emphasising a shift from inpatient to community-based management of those with intellectual disabilities and forensic needs. However, community services can be reluctant to accept patients deemed ready for discharge by inpatient forensic teams, and this leading to delayed discharges. An evidence-based discharge communication tool based on a comprehensive needs assessment is therefore required for patients with intellectual disabilities and forensic needs.

Design/methodology/approach
The purpose of this paper is to describe the development and implementation of the What I Need (WIN) plan in a Community Forensic Intellectual Disability Team. The WIN plan aims to create an effective discharge communication tool through carrying out a needs assessment based on the Camberwell Assessment of Need – Forensic Version (CANFOR).

Findings
The team and its stakeholders have observed several benefits following implementation of the WIN plan. The WIN is patient led and generates constructive dialogue around needs, risks and strengths between the patient, their family/carers and staff/clinicians. It is multidisciplinary, efficient to complete and collates information on individual patients’ current and historical forensic risks and needs in one document.

Originality/value
While delays in discharging in this population have been extensively studied, communication tools to support the process of discharge have received less focus. This paper describes the development and implementation of a discharge communication tool that incorporates risk management strategies for patients with intellectual disabilities and forensic needs.
How short video platforms retain customers: focusing on the roles of user stickiness and flow experience
Authors: Jia Yanglei , Zheng Keke , Liu Xinglong , Guo Xiang 
Published: January 2025

PurposeThe highly competitive atmosphere of the short video platforms has increased their similarity, while users possess remarkably diverse preferences, complicating the improvement of user stickiness. To address this issue, this research investigates the effects of different factors, including perceived usefulness, ease, enjoyment, interactivity, and social influence, on user stickiness.Design/methodology/approachTo estimate these effects, it employs partial least square-structural equation modeling (PLS-SEM), technology acceptance model (TAM3) and theory of planned behavior (TPB) to analyze data collected from a questionnaire distributed among online users between July 20, 2023 and October 28, 2023.FindingsThe results indicate that all the studied factors have positive and significant effects on user stickiness. In addition, they confirmed the considerable effect of flow experience on the relationships between these factors and user stickiness, particularly in interactivity.Originality/valueThese findings show the short video platforms how to manage different factors effectively in stickiness to increase their uniqueness among competitors, attracting and keeping different users by covering their diverse preferences.
The impact of platform affordance on the representation of iconic architecture: a case study of Markthal across visual social media
Authors: Zhang Shuyu , Zhang Gong 
Published: January 2025

PurposeThis paper explores how platforms shape the representation of iconic architecture across visual social media platforms, particularly how their unique features and affordances impact these representations.Design/methodology/approachThis paper develops an integrated framework connecting iconic architecture representation, platform affordance and triadic spatial theory. Taking Rotterdam’s Markthal as a case study and collecting multimodal data from TikTok, Instagram and Google Maps, the paper uses a mixed-methods approach that integrates content analysis with qualitative coding and quantitative image/video label detection and image clustering.FindingsTikTok is more associated with enriching lived space by enabling users to share vibrant, personal experiences and activities. Instagram influences perceived space more by shaping how users view and experience the physical environment through curated visual content. Meanwhile, Google Maps effectively shapes conceived and perceived space by users’ feedback of place ratings and reviews.Research limitations/implicationsUnderstanding how platform affordances influence the representation of iconic architecture helps designers and researchers generate design strategies and guides marketers in strategically selecting effective social media platforms for architecture promotion.Originality/valueThis research addresses the gap in understanding the impact of platform affordances on social media representations, especially through comparisons across multiple visual social media platforms. Its novel contribution is introducing the concept of affordance from media studies to architecture and urban studies while enhancing traditional text analysis with computational methods for analysing videos and images.
Dine with me, not your smartphone! Negative impacts of companion phubbing on dining experience satisfaction
Authors: Kikumori Mai , Ishii Ryuta 
Published: January 2025

Purpose
Prior research indicates that phubbing – ignoring others and focusing on one’s smartphone – in romance-, work- and education-related situations can seriously damage interpersonal relationships. Despite the fact that phubbing during dining occurs often, prior research has not focused on this behavior. In a situation of hedonic consumption such as restaurant dining, affects such as emotion and mood play an important role in determining consumption satisfaction and consumer behavior. Accordingly, this study aims to examine the impact of phubbing during dining on consumer satisfaction with their dining experience. It also identifies the psychological mechanisms underlying this effect, highlighting the mediating role of affect.

Design/methodology/approach
Survey data were collected from 740 Japanese consumers and structural equation modeling was performed to test the hypotheses.

Findings
The results show that phubbing during dining negatively impacts consumers’ dining experiences; the effect is mediated by social exclusion and mood, and mood in particular is a strong mediator.

Originality/value
This study contributes to better understanding of consumer behavior by indicating the harmful effect of phubbing on service outcomes and clarifying the psychological mechanisms underlying phubbing during dining.
Customer experience and sustainability in social, environmental and economic contexts
Authors: Saini Shivani 
Published: January 2025

Purpose
The purpose of this paper is to introduce a new conceptual framework that integrates customer experience and sustainability across social, environmental and economic dimensions to facilitate sustainable development.

Design/methodology/approach
Sustainability is widely recognized from an industrial perspective; however, the relationship between customer experience and sustainability has been limitedly explored in the existing literature. An ethnographic study of two international retail chains has been undertaken, using illustrative case studies to assess the companies’ sustainability practices across social, environmental and economic dimensions.

Findings
This research emphasizes the importance of enhancing customer experiences to align sustainable practices with consumer expectations. The findings of this study indicate that social sustainability should be prioritized in consumer lives by maintaining high-quality living standards, while environmental sustainability should focus on creating experiences that encourage sustainable lifestyle choices. Economic sustainability should be operationalized by concentrating on mutually beneficial performance areas. Overall, companies must adopt a holistic approach that integrates the social, environmental and economic dimensions into sustainability practices to drive positive customer experiences.

Originality/value
This study examines the sustainability performance of retail companies across social, environmental and economic dimensions. This study introduces a novel approach to sustainable development through the customer experience perspective.
Exploring the effectiveness of AI-generated learning materials in facilitating active learning strategies and knowledge retention in higher education
Authors: Aluko Henry Adeyemi , Aluko Ayodele , Offiah Goodness Amaka , Ogunjimi Funke , Aluko Akinseye Olatokunbo , Alalade Funmi Margareth , Ogeze Ukeje Ikechukwu , Nwani Chinyere Happiness 
Published: January 2025

Purpose
This study aims to explore the intersection of AI-generated learning materials and active learning strategies in higher education artificial intelligence (AI) is bringing about changes and opening up new possibilities for an improved and more efficient higher education. However, the argument is that its use in education/classroom should be informed by verifiable evidence as well as best practice, which this scholarly work helps build evidence-based research to assess this technology in higher education.

Design/methodology/approach
Primary data was collected through structured questionnaire administered online via Google form. Based on the non-probability sampling technique, 300 higher education tutors and students across the UK were purposively targeted, out of which 218 (72.7%) response rate was achieved. Data was analyzed using descriptive statistics with the aid of Statistical Package for Social Sciences, whereby regression, correlation and Chi-square tests were conducted to determine the statistical significance, direction and strength of the relationship between the measured variables.

Findings
This study revealed that AI-generated learning materials support active learning strategies that enable students to actively engage in their learning, likewise enabling students to develop deeper understanding of their course content with significantly better knowledge retention, which is critical to the learning process. However, findings further revealed that acceptance/regular use of AI-generated learning materials is still below par across the higher education institutions, and there is major concern that the benefits may not be fully realized due to barriers to adoption.

Research limitations/implications
There are limitations that future studies can improve on, especially in terms of methodology. Pragmatism is a philosophical research stance that integrates quantitative data collection with qualitative data (such as interviews) and will ask in-depth questions to gain holistic quality data for such empirical. Future studies can also improve on the research scope to allow for generalizability of findings and check for potential biases in the data collection, analysis and interpretation processes.

Originality/value
Despite the huge anticipation regarding how AI technology could transform teachers’ roles in higher education, concrete research into AI-generated learning materials and actual impact in facilitating active learning strategies and knowledge retention is currently lacking. This study presents theoretical models on AI acceptance in higher education and explored the Technology, Pedagogical and Content Knowledge framework to inform empirical information on how AI can support active learning strategies and students’ knowledge retention.
Innovators and transformers: envisioning a revolution in middle mile logistics with extended range cargo drones
Authors: Purtell Clinton T. , Manuj Ila , Pohlen Terrance L. , Garg Vipul , Porchia Jamie , Hill Michael James 
Published: January 2025

PurposeThis paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and upcoming innovations associated with integrating drones into MM logistics? and (2) What challenges need to be overcome for successful implementation of drones in MM logistics?Design/methodology/approachThe study combines expertise from an industry professional with over ten years of experience in drone operations and logistics applications, along with insights gained from discussions with 33 industry executives.FindingsThe research identifies several unique advantages of integrating drones into MM logistics, including their potential to improve operational efficiency in challenging environments. However, significant challenges related to scalability, evolving airframe designs and operational constraints remain. Early-stage use cases demonstrate the viability of MMD technologies in lower-risk logistics environments, but broader implementation requires overcoming the identified challenges.Research limitations/implicationsAs MMD logistics is a nascent field, the study is exploratory and based on early-stage use cases and expert discussions. The limited scope of practical implementations may restrict the generalizability of the findings. Future research should focus on larger-scale operations and empirical studies of MMD integration in diverse logistics contexts.Practical implicationsThe findings offer valuable insights for practitioners related to the costs, benefits and challenges of integrating drones into logistics operations and for policymakers related to societal implications, workforce development, privacy and safety concerns, and environmental impact.Originality/valueThis paper contributes to the evolving understanding of drone applications in MM logistics by presenting early use cases and identifying both challenges and opportunities for MMD technology and offers a foundation for future research and practice in this emerging domain.
Integrating spatial cognition and SLAM for improved performance of autonomous material handling robots in dynamic stockyard environments
Authors: Li Yuan , Chen Ling , Chen Mengfan , Qian Xuesheng 
Published: January 2025

Purpose
The purpose of this study is to detail the design and development of a robust and practical perception system for autonomous material handling robots (AMHRs) operating within industrial stockyards. This system aims to support simultaneous localization and mapping (SLAM) while generating large-scale spatial cognition, ensuring accurate, low-latency, and scalable operations in demanding industrial environments.

Design/methodology/approach
The proposed perception system integrates multimodal perception sensors, efficient algorithms and commercial hardware devices to o provide SLAM-based large-scale spatial cognition for distributed AMHRs. The system’s design emphasizes practicality, efficiency and readiness for real-world deployment, ensuring it meets the stringent requirements of accuracy, latency and scalability.

Findings
Experiments conducted in a real industrial stockyard environment demonstrate the practicality and robustness of the perception system. The system exhibits high performance in state estimation, stockpile modeling accuracy and motion spatial cognition, confirming its effectiveness for AMHR operations.

Practical implications
The developed system was practically used at Tianjin Port, demonstrating the potential for widespread industrial application, offering a scalable and efficient solution for AMHR operations. Its integration into diverse industrial settings can lead to significant improvements in material handling processes, contributing to enhanced productivity and operational efficiency.

Originality/value
This work presents an innovative perception system that combines advanced SLAM-based spatial cognition akin to that of the brain with practical deployment considerations. The system’s design and implementation address the specific challenges of AMHRs in industrial environments, providing a novel solution for enhancing the operational efficiency and adaptability of autonomous robots in stockyards and similar settings.