bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multimodal Vision-text AI Copilot for Brain Disease Diagnosis and Medical Imaging
Authors: Zhang Guoxun , Gao Zebin , Duan Caohui , Liu Jiaxin , Lizhu Yuerong , Liu Yaou , Chen Qian , Wang Ling , Fei Kailun , Wang Tianyun , Chen YuJia , Guo Yanchen , Guo Yuchen , Lou Xin , Dai Qionghai 
Published: January 2025

AbstractIntegrating non-invasive brain imaging techniques, particularly computed tomography (CT) and magnetic resonance imaging (MRI), coupled with the advancement of artificial intelligence, is forging a key pathway for brain disease diagnosis, playing a vital role in safeguarding human health1–4. A robust artificial intelligence copilot is essential for clinical emergencies, functioning as the central processing unit for brain medical imaging systems, aiming to revolutionize the imaging process, expedite the diagnosis of diseases, and support treatment5–7. In this study, we developed an advanced multi-modal brain medical imaging foundational model named Brainfound, utilizing AI-generated content and image-text alignment technology, pre-trained on over 3 million brain CT images and over 7 million brain MRI images with their paired reports. As a clinical brain medical imaging multi-modal model, Brainfound achieved state of the art on seven downstream tasks, including brain disease diagnosis, brain lesion segmentation, MRI image enhancement, MRI cross-modality translation, automatic report generation, zero-shot brain disease classification, and free human-AI conversation. After thorough human-machine validation, Brainfound surpassed the current leading model by 51.75% in automatic report generation for brain imaging. In multiple-choice questions related to brain imaging, the accuracy of Brainfound outstripped GPT-4V by 47.68%, comparable to experienced doctors. We anticipate Brainfound, a clinical model with flexible visual and text input-output capabilities, will provide substantial support in brain medical imaging, clinical education, and human-in-the-loop medical diagnosis.
Evaluating the Effectiveness of International Travel Controls to Identify Monkeypox Virus Infected Travelers
Authors: Ejima Keisuke , Wang Yuqian , Endo Akira , Murayama Hiroaki , Goh Yun Shan , Cook Alex R. , Jeong Yong Dam , Iwami Shingo , Park Hyeongki , Dickens Borame Sue Lee , Jin Shihui , Lim Jue Tao , Chan Conrad En Zuo , Chia Po Ying , Young Barnaby E. , Yang Yang , Chio Martin , Lye David Chien , Ajelli Marco 
Published: January 2025

AbstractIntroductionIn August 2024, the World Health Organization (WHO) declared a public health emergency due to the rapid spread of mpox in African and beyond. International travel controls (ITCs), such as health screening and viral testing, could help avoid/delay the global spread of the monkeypox virus (MPXV), fostering preparedness and response efforts. However, it is not clear whether the viral tests at immigration are sufficient to avoid importation of MPXV and which samples should be used on the viral tests.MethodsWe conducted a simulation study using epidemiological and viral load data to assess the effectiveness of health screening and PCR testing at immigration. This provides estimates of the proportion of infected travelers identified with this policy. Viral dynamics models were used to estimate false-negative rates of PCR tests with different detection limits according to testing regimens at three different sites: oropharynx, saliva, and rectum. We also simulated the effects of these border control methods on the recommended duration of a monitoring period for travelers from mpox-affected regions, during which individuals would self-monitor for symptoms and practice cautionary behavior.ResultsOur results show that the combination of health screening and PCR testing of saliva swabs under an endemic scenario identify only 74% of MPXV infected travelers. The use of rectal swabs combined with health screening allows the identification of a marginally larger share of infected travelers (79%) compared to saliva swabs. A similar identification rate could be achieved by using more sensitive PCR tests (detection limit [DL]: 10 copies/mL vs. 250 copies/mL used in our baseline analysis). We estimated that travelers from mpox-affected areas should monitor themselves and practice precautionary behavior for 16 days.ConclusionHealth screening and PCR testing at immigration are likely to miss a significant proportion of MPXV-infected travelers, thus a lengthy quarantine period would be required to prevent onward local transmission. Careful consideration on other factors such as economic costs and likelihood of widespread local outbreak will need to be weighed against the adoption of these measures to prevent local mpox transmission given MPXV transmissibility and severity.
Barriers and facilitators to implementing core osteoarthritis treatments in China: a mixed-method study
Authors: Wang Ziru , Duan Shuning , Chen Xier , Deng Huili , Wang Yunqi , Ni Guoxin 
Published: January 2025

ABSTRACTObjectiveTo understand current practices and identify barriers and facilitators to implementing guideline recommended core OA treatments in China.MethodsAn exploratory mixed-methods design was employed, involving healthcare professionals managing OA in mainland China. The qualitative phase included semi-structured interviews (n=15) and a qualitative survey (n=181). A quantitative survey (n=302) evaluated the clinical applicability of identified themes, common practices, knowledge, and self-rated confidence in core capabilities about OA. Qualitative data were analyzed through thematic and content analysis using NVivo, and descriptive statistics were applied to quantitative data using RStudio.ResultsParticipants representing six professions provided their perspectives qualitatively. Five themes emerged as barriers: widespread misconceptions about OA; limitations in current medical insurance policies; insufficient multidisciplinary collaboration; lack of workplace support; and low patient adherence to self-management. Three themes emerged as facilitators: telehealth and community-based delivery pathways; professional training and patient education resources; and personalized services with positive feedback.Across 19 provinces in China, participants representing seven different health professions completed the quantitative survey. The most commonly used treatments for OA were physical agent therapy (56%), while exercise therapy was utilized by only 9%. The average OA knowledge score was 31.2 (±8.9) out of 55. Self-rated confidence was lowest for “referrals and interdisciplinary collaboration” (3.4±0.1, “somewhat confident”). The most applicable factors impacting the implementation of core OA treatments included patient comorbidities, knowledge of pain science and exercise therapy, and financial support (all 2.8±0.8, “applicable”).ConclusionCore OA treatments recommended by international clinical guidelines are infrequently implemented in China.SIGNIFICANCE AND INNOVATIONSThis study is the first to explore the barriers and facilitators to implementing core osteoarthritis (OA) treatments in China, providing comprehensive insights into the unique challenges within the Chinese healthcare system.It highlights the substantial underutilization of exercise therapy in OA care (9%), reflecting a potential mismatch between guideline recommendations and clinical practice, and underscores the need for targeted implementation strategies.Major barriers include widespread misconceptions about OA, limited multidisciplinary collaboration, and insufficient financial and organizational support for non-pharmacological interventions.The study emphasizes the potential of telehealth and community-based care to address disparities in OA management and improve access to evidence-based, guideline-recommended OA treatments in diverse clinical settings across China.
Accurate inference methods based on the estimating equation theory for the modified Poisson and least-squares regressions
Authors: Noma Hisashi , Gosho Masahiko 
Published: January 2025

AbstractObjectivesIn clinical and epidemiological studies, the modified Poisson and least-squares regression analyses for binary outcomes have been standard multivariate analysis methods to provide risk ratio and risk difference estimates. However, their ordinary Wald-type confidence intervals can suffer from biases of the robust variance estimators and the coverage probabilities of true effect measures are substantially below the nominal level (usually 95%). To address this issue, new accurate inference methods are needed.MethodsWe provide two accurate inference methods based on the estimating equation theory for these regression models. A remarkable advantage of these regression models is that we know the correct models to be estimated: the conventional binomial regression models with log and identity links. Utilizing this modeling information, we first derive the quasi-score statistics, whose robust variances are estimated using the correct model information, and propose a confidence interval based on the regression coefficient test usingχ2-approximation. Also, to further improve the large sample approximation, we propose adapting a parametric bootstrap method to estimate the sample distribution of the quasi-score statistic using the correct model information. In addition, we developed an R package,rqlm(https://doi.org/10.32614/CRAN.package.rqlm), that can implement the new methods via simple commands.ResultsIn extensive simulation studies, the coverage probabilities of the two new methods clearly outperformed the ordinary Wald-type confidence interval. We also illustrate the proposed methods via applications to an epidemiologic study of epilepsy. The proposed methods provided wider confidence intervals reflecting the statistical uncertainty.ConclusionsThe current standard Wald-type confidence intervals might provide misleading evidence. If erroneous evidence is reported, it can potentially influence clinical practice, public health, and policy making. These possibly inaccurate results should be circumvented through the use of effective statistical methods. The new inference methods would provide more accurate evidence in future medical studies.
Potential quantum advantage for simulation of fluid dynamics
Authors: Li Xiangyu , Yin Xiaolong , Wiebe Nathan , Chun Jaehun , Schenter Gregory K. , Cheung Margaret S. , Mülmenstädt Johannes 
Published: January 2025

Numerical simulation of turbulent fluid dynamics needs to either parametrize turbulence—which introduces large uncertainties—or explicitly resolve the smallest scales—which is prohibitively expensive. Here, we provide evidence through analytic bounds and numerical studies that a potential quantum speedup can be achieved to simulate fluid dynamics using quantum computing. Specifically, we provide a lattice Boltzmann formulation of fluid dynamics for which we give evidence that low-order Carleman linearization is much more accurate than previously believed for these systems. This is achieved via a combination of reformulating the Navier-Stokes nonlinearity (u·∇u) to lattice-Boltzmann nonlinearity (u2) and accurately linearizing the dynamical equations, which effectively trades nonlinearity for additional degrees of freedom that add negligible expense in the quantum solver. Based on this, we apply a quantum algorithm for simulating the Carleman-linearized lattice Boltzmann equation and provide evidence that its cost scales logarithmically with system size compared with polynomial scaling in the best known classical algorithms. In this paper, we suggest that a quantum advantage may exist for simulating fluid dynamics, paving the way for simulating nonlinear multiscale transport phenomena in a wide range of disciplines using quantum computing.

Published by the American Physical Society
2025
Consumer acceptance of mobile wallet in the hospitality industry
Authors: Khan Salman , Zhang Qingyu 
Published: January 2025

PurposeThis study examines the drivers of consumers’ intentions to adopt mobile wallets in Pakistan’s hospitality industry. Specifically, it proposes and tests a model of non-user consumer intention to adopt mobile wallets for hospitality in Pakistan.Design/methodology/approachA conceptual framework grounded in the mobile technology acceptance model (MTAM) integrating personal innovativeness in IT, mobile perceived compatibility, perceived critical mass, perceived enjoyment, mobile perceived risk and mobile perceived wireless trust was used as a theoretical model of the study. Using structural equation modeling, we tested the research model and its relevant hypotheses on a sample of 310 mobile wallet nonusers.FindingsFindings from the expanded model demonstrate that only four of the suggested hypotheses were insignificant in this study and require additional examination. Overall, the modified model explained 63% of the variance in the behavioral intention to adopt mobile wallets. This paper concludes with key implications and directions for future work concerning the limitations of this study.Originality/valueThis study contributes to a theoretical understanding of the factors that explain nonusers’ behavioral intention to use a mobile wallet in the hospitality context.
Agent-based modelling of credit card promotions
Authors: Hamill Conor Brian , Khraishi Raad , Gherghel Simona , Lawrence Jerrard , Mercuri Salvatore , Okhrati Ramin , Cowan Greig Alan 
Published: January 2025

PurposeInterest-free promotions are a prevalent strategy employed by credit card lenders to attract new customers, yet the research exploring their effects on both consumers and lenders remains relatively sparse. Selecting an optimal promotion strategy is intricate, involving the determination of an interest-free period duration and promotion-availability window, all within the context of market dynamics and complex consumer behaviour. The purpose of this study is to develop an agent-based model to assist with determining optimal promotion strategies.Design/methodology/approachIn this paper, we introduce a novel agent-based model that facilitates the exploration of various credit card promotions under diverse market scenarios.FindingsOur experiments reveal that, in the absence of competitor promotions, lender profit is maximised by an interest-free duration of approximately 12 months, while market share is maximised by offering the longest duration possible. In the context of concurrent interest-free promotions, we identify that the optimal lender strategy entails offering a more competitive interest-free period and a rapid response to competing promotional offers. Notably, a delay of three months in responding to a rival promotion corresponds to a 2.4% relative decline in income.Originality/valueOur model consists of multiple lender and consumer agents that interact through a novel set of mechanisms based on well-studied consumer behaviours. Distinct from previous works, our model adopts a realistic billing cycle with a focus on interest charged to revolving accounts and supports a range of lender promotion strategies. It is calibrated to historical benchmarks and validated against both stylised facts and time-series data, ensuring a realistic reflection of market behaviour, which has been neglected in prior studies.
Structural safety analysis of shield tunnels based on convergent deformation
Authors: Zhang Lei , Qu Chengkun , Zhang Shuzhan , Li Ying , Li Changjun , Lu Yuquan 
Published: January 2025

PurposeDamage to the pipe structure and increased bolt stress in operating tunnels will significantly affect the long-term stability of shield tunnels. However, due to the large number of segments and complex bolt installation methods, it is difficult to directly obtain the conditions of segments and bolts. Convergence deformation, as an important indicator for the health assessment of operating tunnels, is easy to collect and can directly reflect the structural state of tunnel segments and bolts.Design/methodology/approachTaking the typical sections of Hangzhou Metro Line 1 and Line 3 as an example, the current structural damage is simulated by monitoring tunnel convergence deformation. First, based on the disease data, the relationship between convergence deformation and segment leakage, segment misalignment as well as the longitudinal joint opening between two segments is analyzed statistically. The stress of bolts, steel bars and segments under different convergence deformations is simulated by Midas. Then a reinforcement measure of circumferential internal tension steel rings is proposed.FindingsIt is found that when the segment convergence exceeds 85 mm, although the overall force on the segment has not reached the material limit, there are certain safety risks in the structure. After comparison, the reinforcement measure has a relatively significant effect on controlling the lateral deformation of segments.Originality/valueThe results have important guiding significance for the evaluation of structural diseases, early warning and control of structural diseases at different convergence deformations.
Ethical value co-creation in circular economy ecosystems: a case study of the textile industry
Authors: Dziubaniuk Olga , Aarikka-Stenroos Leena 
Published: January 2025

Purpose
The purpose of this empirical study is to apply the industrial marketing and purchasing approach to explore ethical value co-creation and business ethics in the circular economy (CE) ecosystem (CEE) of the Finnish textile industry. A CEE involves a variety of business and institutional actors with shared business or societal targets. Ethical principles may become embedded in their first social interaction and can play an important supportive role in economic, environmental and social value co-creation, especially when the actors have sustainability goals.

Design/methodology/approach
This study uses a qualitative single-case study of a CEE in the Finnish textile industry where diverse actors seek to create value from circularity. The analysed data represent a set of interviews with business and institutional actors directly involved in managerial activities in the CEE of textile industry in Finland.

Findings
This study provides a conceptual framework of actors’ interactions and ethical value co-creation aimed at meeting CE and sustainability goals at the levels of actors, the network and the ecosystem. The findings emphasise the value of proactive collaboration among business and institutional actors seeking innovations, knowledge-sharing and business development in fostering more circular operations in the textile industry and thereby effecting the CE transition. Efficient interactions for value co-creation among actors can be grounded on ethical values such as trust, transparency, shared sustainability goals and the power to positively influence and motivate actors and even consumers to transition to CE principles.

Originality/value
An original research framework of ethical value co-creation is proposed in this study based on the combined concept of ethical embeddedness and ecosystem orchestration mechanisms to achieve sustainability and CE goals. This study contributes to the limited business ethics studies in circular business and CEE research and empirically examines business interactions among actors within a CE ecosystem. The managerial and policymaking implications of this study highlight the strategic importance of various actors’ interactions in implementing circularity in business processes.
An exploration in digital techniques to read Ainu textile patterns
Authors: Vargas Meza Xanat , Zhang Zhexin , Ochiai Yoichi 
Published: January 2025

PurposeThis study explores previous research related to textile management technologies, detecting gaps and opportunities for textiles made by Ainu people. We also propose an approach to digitally read Ainu textile patterns.Design/methodology/approachWe employed indigenous and pluriversal design frameworks to evaluate textile pattern technologies. They were operationalised as Indigenous/local researchers involved in the investigation, multi-sensoriality of analysed items, prosperity for everyone involved, communal property of data, biological awareness, social complexity awareness and sensitivity of the analysed method if the items change.FindingsTextile pattern technology researchers have mostly used neural networks and clustering methods. They have addressed social aspects since the 2000s. Investigations into the generation of textiles based in Poland constantly reflected the most pluriversal characteristics. Regarding Ainu textile research, most investigations have cited Indigenous sources. Two gaps emerged: the concentration of research datasets and results in enterprises or scholars and the focus on the formal characteristics of Ainu patterns in technical papers and contextual characteristics in ethnographic papers.Research limitations/implicationsHeritage management is increasingly employing technological tools that should consider the sustainability of handmade/artisanal goods. As most investigations on textile patterns are conducted by the industry, their benefits are limited for heritage conservation.Practical implicationsTherefore, we suggest digital experts work together with ethnography and Indigenous experts, proposing a method for digital reading of Ainu textile patterns that incorporates pluriversal aspects into heritage conservation.Originality/valuePluriversal design is a set of onthologies proposed with Indigenous, mestizo and minorities from the Americas that is currently being diffused in the rest of the world, highly compatible with the analysis of Indigenous heritage.
Economic policies, labour unions and voter turnout in the advanced industrial democracies
Authors: Nasser Shawky 
Published: January 2025

PurposeThis study aims to study the impact of unionisation of voter turnout, with unionisation instrumented with a measure of the nature of economic policy.Design/methodology/approachThe study made use of IV regression and panel data.FindingsUsing a nation-level panel of data relative to 20 advanced industrial democracies observed between 1960 and 2015, the empirical results of the IV regression of this paper show that economic policies determine the socio-economic conditions which influence the size of the labour unions, which, in turn, determine voter turnout.Originality/valueNo paper attempted to account for what influences unionisation when examining the relationship between unionisation and voter turnout.
Do prestige sensitivity and altruism moderate the effects of customers’ emotions on WOM? An investigation of luxury retailers
Authors: Yang Shaohua , Isa Salmi Mohd , Fan Yedan , Goh Edmund 
Published: January 2025

PurposeThis study adopts the stimulus–organism–response model to examine relationships between the retail environment and customers’ emotions (i.e. pleasure and arousal), prestige sensitivity and word-of-mouth (WOM) intentions towards two luxury retailers: Luxury Brand A and Luxury Brand B.Design/methodology/approachData were obtained from a sample of 135 Chinese customers who had purchased Luxury Brand A and 130 Chinese customers who had purchased Luxury Brand B directly from each retailer. The relationships between these two retailers were compared via partial least squares–Henseler’s multi-group analysis (MGA).FindingsFindings indicated that pleasure and arousal did not play mediating roles between the retail environment and WOM intention for either customer group. Prestige sensitivity did not moderate customers’ emotions about Luxury Brand A or Luxury Brand B. Altruism served as a moderator between emotions (i.e. pleasure/arousal) and WOM intention regarding Luxury Brand B but was not a significant moderator for Luxury Brand A. Additionally, MGA suggested non-significant differences between Luxury Brands A and B. Implications for the luxury retail literature and luxury marketers are provided accordingly.Originality/valueThis study is one of the earliest to examine the moderating roles of price sensitivity and altruism on associations between the retail environment and customers’ emotions, prestige sensitivity, and WOM intentions in a luxury retail context. An MGA of customers for Luxury Brand A and Luxury Brand B was innovatively performed to evaluate the proposed framework.