bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental results of a YBCO bulk superconducting undulator magnetic optimization
Authors: Calvi Marco , Arsenault Alexandre , Liang Xiaoyang , Schmidt Thomas , Dennis Anthony R. , Durrell John H. , Gafa Carlos , Sammut Andrew , Sammut Nicholas , Ainslie Mark D. , Kinjo Ryota , Zhang Kai , Hellmann Sebastian 
Published: October 2024

The magnetic field optimization of RE-Ba-Cu-O (REBCO, RE=rare earth) bulk superconducting undulators is a fundamental step toward their implementation in an accelerator driven photon source, like a synchrotron or a free electron laser. In this article, we propose a sorting algorithm to reduce the undulator’s phase error based on the reconstruction of the trapped current inside the bulks of a staggered array undulator. The results obtained with a YBCO short prototype field-cooled down to 10 K in a 10 T magnetic field are reported. Finally, its performance is critically discussed in light of 2D magnetic field maps of its individual components, obtained at LN2 after the magnetization tests.

Published by the American Physical Society
2024
The Catalan commercial integration with early modern Europe, 1630–1778
Authors: Manera Carles , Perez-Montiel Jose , Ozcelebi Oguzhan , Seguí Andreu 
Published: October 2024

Purpose
This study aims to analyze whether the Barcelona markets integrated with Europe during the 17th and 18th centuries.

Design/methodology/approach
This study uses the unit root tests with multiple structural breaks under both the null and alternative hypotheses proposed by Carrion-i-Silvestre et al. (2009) and Harvey et al. (2013). These tests are robust to multiple unknown breaks in the series.

Findings
The results suggest that the Barcelona wheat markets integrated with some European cities during the 18th century.

Originality/value
The results are important because they highlight the importance of considering nonlinearities and structural breaks in the series to study market integration with historical perspective. Contrary to the results obtained using conventional unit root tests, when this study applies unit root tests robust to structural breaks in the series, it finds that the law of one price holds in some cases.
Artificial intelligence (AI) adoption: do Generation Z students feel technostress in deploying AI for completing courses of study at universities?
Authors: Routray Rozalin , Khandelwal Komal 
Published: October 2024

PurposeThey proposed the necessity of restructuring higher education to provide students and instructors with the skills required for future employment in a world driven by artificial intelligence (AI). The implementation of AI in higher education and its impact on Generation Z students' academic ambitions.Design/methodology/approachHigher education plays a vital role in cultivating ethical individuals and professionals on a worldwide scale. The implementation of AI in higher education and its impact on Generation Z students' academic ambitions. This study used qualitative methods to examine the viewpoints of students regarding the influence of AI on higher education. For this study, a cohort of 25 students from Pune city was chosen.FindingsThe results indicate that there is a need to reform higher education in order to prepare students for future jobs in a society driven by AI. They indicated a lack of extensive understanding on the subject and so sought a clear explanation from an AI during their consultation. Based on the results of this study, it is evident that Generation Z students do not experience fear or worry in relation to emerging technology. On the contrary, they embrace multitasking and actively want to acquire new skills to prepare themselves for the future.Research limitations/implicationsThis study has limitations; the data were collected from 25 students, and the insights gathered may not represent the whole population. The geographical restriction was that it was restricted only to Pune. Second, educators are equally important and may have different views; therefore, future studies should collect educators’ views.Originality/valueThey proposed restructuring higher education to provide students and instructors with the skills required for future employment in a world driven by AI. Their proposal introduces novel learning goals that prioritize the development of abilities in both information, learning and education through the use of AI. Participants' narratives are evaluated using advanced techniques such as VOSviewer to give in-depth analysis.
Does FinTech adoption impact on sustainability of small businesses: mediating role of financial well-being
Authors: Sharma Vikas , Gupta Munish , Taneja Sanjay 
Published: October 2024

Purpose
This paper aims to explore the impact of FinTech adoption on small business sustainability and to understand how financial well-being acts as a mediator in this relationship. which is essential in fostering business sustainability in today’s dynamic business landscape.

Design/methodology/approach
A survey was conducted with an initial sample of 500 respondents, and subsequently, a final analysis was performed using a sample size of 321 respondents. Data was collected through a self-administered survey, and the hypothesized model was assessed using the Smart PLS analysis technique.

Findings
The findings revealed significant positive associations between Fintech adoption and small business sustainability, and financial well-being acts as a significant mediator in establishing this relationship. Financial well-being has a positive and significant impact on sustainability, with substantial and positive correlations with their respective elements.

Practical implications
Small businesses will realize the significance of financial well-being in their operations. This realization can motivate them to invest in digital tools such as payment systems and accounting software to streamline their operations and increase their resilience.

Originality/value
The results of this research can serve as a foundational framework for enhancing business sustainability in the Fintech sector, thereby facilitating the financial industry’s efforts to achieve economies of scale globally. Future research can investigate specific aspects, industries or regions deeper to provide a more comprehensive understanding of the study.
A mass customization framework and reclassification method for lower garments in E-commerce
Authors: Lin Ruibing , Lü Xiaoyu , Xu Pinghua , Ge Sumin , He Huazhou 
Published: October 2024

PurposeTo enhance the fit, comfort and overall satisfaction of lower body attire for online shoppers, this study introduces a reclassification method of the lower body profiles of young females in complex environments, which is used in the framework of remote clothing mass customization.Design/methodology/approachFrontal and lateral photographs were collected from 170 females prior, marked as size M. Employing a salient object detection algorithm suitable for complex backgrounds, precise segmentation of body profiles was achieved while refining the performance through transfer learning techniques. Subsequently, a skeletal detection algorithm was employed to delineate distinct human regions, from which 21 pivotal dimensional metrics were derived. These metrics underwent clustering procedures, thus establishing a systematic framework for categorizing the lower body shapes of young females. Building upon this foundation, a methodology for the body type combination across different body parts was proposed. This approach incorporated a frequency-based filtering mechanism to regulate the enumeration of body type combinations. The automated identification of body types was executed through a support vector machine (SVM) model, achieving an average accuracy exceeding 95% for each defined type.FindingsYoung females prior to being marked as the same lower garment size can be further subdivided based on their lower body types. Participants' torso types were classified into barrel-shaped, hip-convex and fat-accumulation types. Leg profile shapes were categorized into slender-elongated and short-stocky types. The frontal straightness of participants’ legs was classified as X-shaped, I-shaped and O-shaped types, while the leg side straightness was categorized based on the knee hyperextended degree. The number of combinations can be controlled based on the frequency of occurrence of combinations of different body types.Originality/valueThis methodological advancement serves as a robust cornerstone for optimizing clothing sizing and enabling remote clothing mass customization in E-commerce, providing assistance for body type database and clothing size database management as well as strategies for establishing a comprehensive remote customization supply chain and on-demand production model.
Data stewardship: case studies from North American, Dutch and Finnish universities
Authors: Rousi Antti Mikael , Boehm Reid Isaac , Wang Yan 
Published: October 2024

PurposeAs national legislation, federated national services, institutional policies and institutional research service arrangements may differ, data stewardship programs may be organized differently in higher education institutions across the world. This work seeks to elaborate the picture of different data stewardship programs running in different institutional and national research environments.Design/methodology/approachUtilizing a case study design, this study described three distinct data stewardship programs from Purdue University (United States), Delft Technical University (Netherlands) and Aalto University (Finland). In addition, this work investigated the institutional and national research environments of the programs. The focus was on initiatives led by academic libraries or similar services.FindingsThis work demonstrates that data stewardship programs may be organized differently within varying national and institutional contexts. The data stewardship programs varied in terms of roles, organization and funding structures. Furthermore, policies and legislation, organizational structures and national infrastructures differed.Research limitations/implicationsThe data stewardship programs and their contexts develop, and the descriptions presented in this work should be considered as snapshots.Originality/valueThis work broadens the current literature on data stewardship by not only providing detailed descriptions of three distinct data stewardship programs but also highlighting how research environments may affect their organization. We present a summary of key factors in the organization of data stewardship programs.
The digitalization of the humanitarian supply chain performance management literature and practice
Authors: Jayadi Ester Lisnati 
Published: October 2024

Purpose
This study aims to review the current research in the digitalization of the humanitarian supply chain performance management (HSCPM) and complement the insights found in the literature with the support of humanitarian organization (HO) reports. As a result, this study also identifies research gaps and directions for future research.

Design/methodology/approach
The study first used a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis to collect and review 25 peer-reviewed articles. Second, the study complemented the articles’ findings by collecting and analyzing 12 HO reports.

Findings
The study reveals the common understanding and links between HSCPM concepts and digitalization approaches, determining that the digitalization approaches per se used in the literature are indistinct and fragmented. Furthermore, it reveals the gaps between literature and practice that cause the research to develop slowly. Some suggestions are made to aid relevant future research. Both gaps and research directions are presented in Table 5.

Research limitations/implications
This study first contributed to methodology in reviewing the digitalization of HSCPM research from literature and practical perspectives. There is a need to expand the data collection scope, integrate various analyses and foster collaborations with multi-disciplinary researchers and practitioners.

Social implications
This study highlights the gaps and potential pathways for the research community to conduct future research investigations into the digitalization of HSCPM.

Originality/value
To the best of the authors’ knowledge, this is one of the first studies to analyze the HSC’s current research into the application of digitalization in HSCPM from both academic and practical perspectives. It also provides a replicable methodology for future studies.
Cash holding in Islamic rural banks
Authors: Mongid Abdul , Muazaroh  , Anggraeni  , Hidayat Sutan Emir , Ghalib Saladin 
Published: October 2024

Purpose
This paper aims to investigate the importance of profitability and bank soundness as determinants of cash holdings by Islamic Rural Bank (IRB) in Indonesia.

Design/methodology/approach
The study covers 134 IRB during 2012–2016. The authors apply pooled regression and panel data method. The best model is used for further analysis.

Findings
The maximum cash holding is 22.21%, meaning the bank retains 22.21% of its liabilities in the cash vault. Cash holding is positively related to higher credit risk (LLR), soundness and profitability (ROA) and negatively to asset composition (PATA) and size (LASSET) for Model I. Soundness, asset composition (PATA), higher credit risk (LLR) and profitability (ROA) are negatively related to size. Larger IRB hold less cash as it has a better reputation in the market. The intermediation level (financing deposit ratio) is positive and significant for Model 1 but negative and not significant for Model 2. Different measures of liquidity ratio – cash to liabilities (CR) or cash to capital ratio (CCR) – produce different results. Evidence from multivariate analysis reports that the results from both models are mostly in the opposite direction.

Originality/value
To the best of the authors’ knowledge, this paper is the first attempt to look at cash holding in the IRB in Indonesia.
Making mobile financial services stick: an empirical investigation into user attitudes and intentions for sustainable adoption
Authors: Isiaku Labaran , Muhammad Abubakar Sadiq , Oluwajana Dokun , Kwala Adacha 
Published: October 2024

PurposeThis study examined the factors that affect attitudes and intentions for sustainable adoption of mobile financial services (MFS) in Nigeria.Design/methodology/approachThe study expands the Technology Acceptance Model (TAM) by incorporating constructs like perceived service quality, perceived ease of use, perceived usefulness, perceived credibility, perceived trust and attitude. It includes an empirical analysis with 382 participants and qualitative insights from semi-structured interviews to investigate the challenges and opportunities associated with MFS adoption in Nigeria.FindingsThe findings show that perceived service quality, perceived usefulness and attitude positively influence the adoption of MFS. However, perceived ease of use and perceived credibility have little impact on adoption. Qualitative insights from Study 2 shed light on the challenges and opportunities as well as the reasons behind the insignificant effects of perceived ease of use and perceived credibility.Originality/valueThis research stands out by using a mixed-methods approach, blending quantitative and qualitative analysis to provide a more detailed understanding of the factors influencing MFS adoption.
Addressing “social hesitancy” with visual marketing
Authors: Mathaisel Dennis F. , Comm Clare L. 
Published: October 2024

Purpose
“Social hesitancy” is a reluctance by people to purchase products, or engage in activities, that may benefit themselves and society. This paper aims to review and assess a visual marketing approach to this significant social marketing problem.

Design/methodology/approach
The authors use data visualization technology as an informational tool, visual sentiment analysis as a social text mining tool and Latent Dirichlet Allocation visual (LDAvis) modelling as a topic modelling tool to measure, assess and address social attitudes inherent in hesitancy. The paper’s hypothesis is that these technologies can help society understand the reasons for, and barriers to, hesitancy, and that visual marketing is an extremely effective approach to the hesitancy problem.

Findings
Using extensive vaccination data and results from the COVID-19 pandemic, the authors found that the visual marketing technologies were successful informational and motivational tools for social hesitancy.

Social implications
Hesitancy is a social marketing concern that can have an impact on product or service promotional and motivational campaigns during a crisis. The LDA visual model, for example, can quantitatively extract and measure the social attitudes of people and identify and segment these people based on their feelings. These tools can be valuable to social marketers by helping to establish strategies for any product or service exhibiting hesitant consumer behaviour.

Originality/value
Using advanced visual technology, the paper contributes to social hesitancy by addressing the following question: does a visual marketing approach help social marketers understand the underlying reasons for, and help to mitigate, social hesitancy?
Development of track geometry inspection equipment for high-speed comprehensive inspection train in China
Authors: Wang Yan , Wei Shibin , Yang Fei , Fei Jiyou , Guo Jianfeng 
Published: October 2024

PurposeThis study aims to analyze the development direction of track geometry inspection equipment for high-speed comprehensive inspection train in China.Design/methodology/approachThe development of track geometry inspection equipment for high-speed comprehensive inspection train in China in the past 20 years can be divided into 3 stages. Track geometry inspection equipment 1.0 is the stage of analog signal. At the stage 1.0, the first priority is to meet the China's railways basic needs of pre-operation joint debugging, safety assessment and daily dynamic inspection, maintenance and repair after operation. Track geometry inspection equipment 2.0 is the stage of digital signal. At the stage 2.0, it is important to improve stability and reliability of track geometry inspection equipment by upgrading the hardware sensors and improving software architecture. Track geometry inspection equipment 3.0 is the stage of lightweight. At the stage 3.0, miniaturization, low power consumption, self-running and green economy are co-developing on demand.FindingsThe ability of track geometry inspection equipment for high-speed comprehensive inspection train will be expanded. The dynamic inspection of track stiffness changes will be studied under loaded and unloaded conditions in response to the track local settlement, track plate detachment and cushion plate failure. The dynamic measurement method of rail surface slope and vertical curve radius will be proposed, to reveal the changes in railway profile parameters of high-speed railways and the relationship between railway profile, track irregularity and subsidence of subgrade and bridges. The 200 m cut-off wavelength of track regularity will be researched to adapt to the operating speed of 400 km/h.Originality/valueThe research can provide new connotations and requirements of track geometry inspection equipment for high-speed comprehensive inspection train in the new railway stage.
Effective combinations of different fiber reinforcements and super-plasticizers for optimal performance of geo-polymer concrete
Authors: Sathe Sandeep , Dandin Shahbaz , Wagale Makrand , Mali Pankaj R. 
Published: October 2024

Purpose
This study aims to investigate and compare the influence of various fiber types (polypropylene, steel and glass) on the workability, mechanical properties, ductility, impact resistance, durability and microscopic properties of geopolymer concrete (GPC) with conventional concrete (CC).

Design/methodology/approach
The CC and GPC of M40 grade were incorporated with an optimum 1% of fibers and superplasticizers were added in a ratio of 2% by weight of the geopolymer binder. The slump cone and compaction factor tests were performed to analyze the workability. To evaluate the mechanical performance of GPC, the compressive strength (CS), split tensile strength (STS), flexural strength (FS) and modulus of elasticity (MOE) tests were performed. A falling weight impact test was performed to determine the impact energy (IE) absorbed, the number of blows for initial cracking, the number of blows for complete failure and the ductility aspect.

Findings
Fibers and superplasticizers significantly improve GPC properties. The study found that fibers reduce the brittleness of concrete, improving the impact and mechanical strength compared to similar-grade CC. The steel fibers-reinforced GPC has a 15.42% higher CS than CC after three days, showing a faster CS gain. After 28 days, GPC and CC have MOE in the range of 23.9–25.5 GPa and 28.8–30.9 GPa, respectively. The ultimate IE of the GPC with fibers was found to be 5.43% to 21.17% higher than GPC without fibers.

Originality/value
The findings of the study can be used to explore different combinations of raw materials and mix designs to optimize the performance of GPC.
Concentrations and inter‐element correlations of seven essential elements in wild plants of Japan
Authors: Mizuno Takafumi , Kondo Daichi , Kasai Hiroto , Kuwabara Kosuke , Yamashita Jun , Murai Yoshinori , van der Ent Antony , Hashimoto Atsushi , Watanabe Toshihiro 
Published: October 2024

AbstractWe assessed the effects of soil type on the concentrations of seven elements (calcium, potassium, sulfur, phosphorus, iron, manganese, zinc) in plants using x‐ray fluorescence (XRF) analysis and plant specimens collected from calcareous and ultramafic soil areas, and ‘general soils’ (other types of soil represented by Brown Forest soils and Andosols) of Japan. Compared with the plants from other types of soils, the means of these seven elements were lower in plants originating from ultramafic soils, especially in phosphorus. Plants from calcareous soil areas had high iron and zinc concentrations on average, but this tendency was biased by plants collected on Mt. Fujiwara, which had extremely high average values of these elements. Calcium concentration in plants had a negative correlation with zinc or iron from calcareous or general soils, respectively, and iron showed positive correlations with zinc, manganese, and sulfur in plants from calcareous, ultramafic, and general soils, respectively. These correlations were not found in plants from general soils, suggesting that these relationships reflect the chemical characteristics of soil types. On the contrary, plants from all soil types showed a positive correlation between sulfur and phosphorus, whereas a positive correlation between potassium and phosphorus was found in plants from calcareous and general soils, but not in ultramafic plants, which instead showed a weak, but statistically significant correlation between potassium and sulfur. Statistically, iron and sulfur concentrations were positively correlated in all soil types, but manganese showed a low correlation with the other elements.