bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early detection of myocarditis caused by immune checkpoint inhibitor therapy with nivolumab and ipilimumab for advanced recurrent renal cell carcinoma
Authors: Todo Maki , Gatate Yodo , Nakano Shintaro , Kaneko Go , Hagiwara Masayuki , Takahashi Takayuki , Umezawa Yuta , Ueda Genji , Ishikawa Shiho , Makino Yoshinori , Oyama Masafumi , Shirotake Suguru 
Published: February 2025

Abstract
Combination therapy with nivolumab and ipilimumab for advanced renal cell carcinoma (RCC) may cause immune-related myocarditis; however, its incidence in this cancer type and regimen remains unknown. At our institution, we measure biomarkers, such as high-sensitivity Troponin (hsTn), and perform electrocardiograms (ECGs) and echocardiography before and every month after the initiation of this therapy, and the findings obtained and patients’ symptoms are continuously monitored by physicians and pharmacists. A retrospective survey was conducted on physiological and biochemical test findings and immune-related adverse events in patients with advanced RCC who received combination therapy with nivolumab and ipilimumab between October 1, 2018 and December 31, 2023. Patients suspected of having myocarditis consulted with cardiologists. Myocarditis due to this therapy was detected in 5 of the 86 patients (5.8%) assessed using the European Society of Cardiology 2022 guidelines. There were no fatal symptoms or death due to myocarditis. The median time to the onset of myocarditis was 25 days (21–86 days). The early detection of myocarditis caused by this therapy requires the monitoring of changes by periodically measuring hsTn and other cardiac markers and performing ECGs and echocardiography from the early stages of administration through to the end of treatment. In addition to checking symptoms, if these abnormalities are detected and myocarditis is suspected, prompt collaboration with cardiologists is recommended. Our management strategy of care by a onco-cardiology team may contribute to the early diagnosis and treatment of myocarditis.
Long-Term Durability of Tunneled Hemodialysis Catheters: Outcomes from a Single Institution 22-Year Experience
Authors: Zhang Austin , Clark Timothy WI , Trerotola Scott O. 
Published: February 2025

Abstract

Purpose
To describe long-term physical durability of tunneled hemodialysis catheters, highlighted in the 2019 Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines as a specific area for future research.

Materials and Methods
Tunneled hemodialysis catheters with known outcomes and dwell times > 1 year were entered into this retrospective study. Data includes demographics, complications, catheter type, dwell time, reason for removal, access site, and placement via exchange or de novo. Catheter durability < 1 year dwell was analyzed as a secondary aim.

Results
272 catheters in 229 patients were included. Dwell times ranged from 366 to 3,802 days (median 504), totaling 162,439 catheter days. 17 (6%) catheters > 1 year dwell had broken external components. For these, dwell times until breaking ranged from 377 to 1,436 days (median 489), totaling 10,434 catheter days. 5 had a broken hub, 11 had a broken clamp, and 1 had broken hub and clamp. 12 were Ash Split Cath (n = 240) and 5 were Arrow-Clark VectorFlow (n = 32). In the durability < 1 year sub-analysis, 6,515 catheters with dwell times < 1 year in 3,693 patients were included, totaling 425,018 catheter days. 48 were damaged, with 24 broken hubs, 17 broken clamps, and 7 holes. Median time to breakage was 110 days. 38 were Ash Split Cath (n = 5,636) and 10 Arrow-Clark VectorFlow (n = 812). In both analyses, breakage was limited to hubs, clamps, and extensions.

Conclusions
Tunneled hemodialysis catheters are exceptionally durable, rarely requiring removal for hub-related issues after one year. Breakdown was not observed as a long-term durability issue. Further, broken external components can be replaced using external repair kits.

Level of Evidence
Level 2b, Retrospective Study.

Graphical Abstract
A turn-on fluorescent immunosensor for neurodegenerative disease related neurofilament light chain protein
Authors: Song Qingting , Zhang Hailong , Kong Jia , Wong Man Shing , Li Hung-Wing 
Published: February 2025

Abstract
Neurodegenerative diseases (NDs) pose significant challenges to both longevity and quality of life, affecting millions worldwide and ranking as a major cause of global morbidity and disability. There is an urgent need for less invasive, cost-effective diagnostic methods that can reliably detect ND-related biomarkers in readily available biofluids such as serum. In response to this need, we have developed an ultra-sensitive assay that utilizes magnetic nanoparticles and a novel, tailor-made turn-on fluorescent probe named F-SPG. This innovative assay enables the detection of neurofilament light chain (NfL) at femtomolar concentrations, with a remarkable detection limit of 24 fM which is at least 18 times more sensitive than the conventional ELISA kits. Our assay’s design eliminates the need for traditional secondary antibody in immunoassay, thereby streamlining the diagnostic process. Recoveries exceeding 95% underscore the assay’s precision and reliability. It has proven effective in distinguishing Alzheimer’s Disease patients from healthy individuals by quantifying serum NfL levels, showcasing its potential as a cost-effective, ultra-sensitive tool for the early screening of neurodegenerative diseases.

Graphical abstract
Interleaving static analysis and LLM prompting with applications to error specification inference
Authors: Chapman Patrick J. , Rubio-González Cindy , Thakur Aditya V. 
Published: February 2025

Abstract
This paper presents a new approach to improve static program analysis using Large Language Models (LLMs). The approach interleaves calls to the static analyzer and queries to the LLM. The query to the LLM is constructed based on intermediate results from the static analysis, and subsequent static analysis uses the results from the LLM query. We apply our approach to the problem of error-specification inference: given systems code written in C, infer the set of values that each function can return on error. Such error specifications aid in program understanding and can be used to find error-handling bugs. We implemented our approach by incorporating LLMs into EESI, the state-of-the-art static analysis for error-specification inference. Compared to EESI, our approach achieves higher recall (from an average of 52.55% to 77.83%) and higher F1-score (from an average of 0.612 to 0.804) while maintaining precision (from an average of 86.67% to 85.12%) on real-world benchmarks such as Apache HTTPD and MbedTLS. We also conducted experiments to understand the sources of imprecision in our LLM-assisted analysis as well as the impact of LLM nondeterminism on the analysis results.
Is there still hesitancy towards SARS-CoV-2 vaccination among people with neurological disease– a survey of the NeuroCOVID-19 task force of the European Academy of Neurology
Authors: Hochmeister Sonja , Rakusa Martin , Moro Elena , Bereczki Daniel , Cavallieri Francesco , Fanciulli Alessandra , Filipović Saša R. , Guekht Alla , Helbok Raimund , Boneschi Filippo Martinelli , Özturk Serefnur , Priori Alberto , Willekens Barbara , Ramankulov Dauren , Sellner Johann 
Published: February 2025

Abstract

Background
An online 3-item survey was sent to the European Academy of Neurology (EAN) community and inquired about the persistence of SARS-CoV-2 vaccination skepticism and the underlying thoughts and factors restricting vaccine use among patients with neurological conditions.

Results
We obtained 616 responses from 84 countries, predominantly from Europe. In the view of the treating neurologist, patients with multiple sclerosis (MS), neuroimmunological disorders (ND), and chronic neurological infections continued to have high levels of skepticism toward SARS-CoV-2 vaccination. Patients with MS/ND were quoted as the most hesitant group, with 60% of the respondents sharing this impression. The patient group perceived as most confident towards immunization against COVID-19 and with the lowest level of distrust towards the vaccine were those with sleep disorders. For all other conditions, perceived distrust ranged between 42 and 52%. Fear of adverse events of vaccination or disease reactivation was perceived by 87% of patients with MS/ND and more than 70% of patients with stroke/vascular neurology, neuromuscular disorders, chronic neurological infections, and peripheral neuropathy. Patients with sleep disorders (54%), autonomic disorders (46%), movement disorders (43%), and dementia (43%) were sensed as less fearful of vaccine-related adverse events.

Conclusion
Despite the large body of evidence proving the efficacy and safety of SARS-CoV-2 vaccination, patients with certain neurological disorders still have a surprisingly high percentage of distrust and fear of adverse events. Our observations emphasize the importance of continuous evidence-based information delivery and patient education by treating neurologists.
Health-related behaviours and depression incidence amongst UK adults aged 50+: Evidence from the English Longitudinal Study of Ageing
Authors: Evans Simon L. 
Published: February 2025

Abstract

Aim
Physical activity (PA), and dietary fruit and vegetable intake, are important lifestyle variables that reduce risk of serious illness and mortality. Nevertheless, many older adults do not achieve government recommendations for these, which has adverse long-term impact on their health outcomes. Further, depression is common in those aged 50+, which impacts severely on quality of life and again raises risk of serious age-related disorders (e.g. Alzheimer’s disease). Here, we analyse data from the ELSA cohort study to provide up-to-date insights into the health-related behaviours and mental health status of UK adults aged 50–90.

Subject and methods
We used the most recent ELSA wave (Wave 10: 2021–2023). Regression models examined how sociodemographic factors influenced likelihood of meeting government PA and dietary fruit and vegetable recommendations. Then, we examined depression incidence and how PA/diet, as well as sociodemographic factors, are associated with depression.

Results
On PA guidance adherence, there were large disparities by wealth and education level. Higher age, current smoking, and low alcohol intake were also associated with lower adherence. Regarding dietary fruit and vegetable intake, increasing age, female sex, higher level of wealth and education, and non-smoking was associated with a higher likelihood of meeting guidelines. Depression was more common amongst females, those living alone, smokers, and those with lower wealth and education. Importantly, both PA and dietary adherence had significant beneficial effects on depression status.

Conclusion
This study provides crucial up-to-date insights, that can inform targeted interventions and public information campaigns to enhance the health of older adults; specifically, it points to the importance of promoting PA and dietary fruit and vegetable intake amongst lower wealth brackets.
Competitive Pricing Using Model-Based Bandits
Authors: Sliwinski Lukasz , Treetanthiploet Tanut , Siska David , Szpruch Lukasz 
Published: February 2025

Abstract
The use of learning algorithms for automatic price adjustments in markets is on the rise. However, these algorithms often assume that reward distributions for actions are uncorrelated and stationary, a condition that does not hold in competitive pricing environments. In this paper, we introduce a pricing environment, find conditions under which a unique Nash equilibrium exists and verify the assumptions numerically. Then, we propose a bandit algorithm that approximates the structure of the environment and extend it to accommodate non-stationary settings. We perform numerical tests in both stationary and competitive pricing environments, analysing the potential benefits and drawbacks of incorporating the structure of the environment within learning algorithms. While modelling the stationary environment improves the algorithm’s performance in a stationary setting, it does not offer an advantage in pricing competitions between non-stationary learning agents.
Customer-Centric Value Assessment of Cryptocurrency Adaptation
Authors: Fakhrullah Fakhrullah , Xiao DingDing , Suplata Marian , Khan Sher , Pawera René 
Published: February 2025

Abstract
This study examines Pakistani citizens’ behavioral intentions toward the adoption of cryptocurrency as a digital currency. Cryptocurrency refers to a form of currency that exists in digital or virtual form and relies on cryptography to ensure the security of transactions and regulate the generation of additional units. Cryptocurrencies have the potential to disrupt the global financial system. Cryptocurrency is a viable option for decentralized and secure transactions, offering enhanced transparency and lowering dependence on conventional financial institutions. The authors collected data from potential cryptocurrency customers or investors. Data were collected from Karachi (Pakistan). The study was conducted with the help of the diffusion of innovation theory (DOI), employing all its components (relative advantage, compatibility, complexity, trialability, and observability). The DOI model statements were modified and adapted to satisfy the requirements of this study. This empirical research report concludes that relative advantage (financial incentives, technology advancement, global accessibility, privacy and security, and P2P nature), compatibility (User-friendliness, Integration with existing systems, compatibility with digital lifestyles), and complexity (ease of use and mass adoption) contribute to the adoption. Trailability (lack of familiarity and risk aversion) and observability (limited exposure, lack of social proof, and negative stigma) are unrelated to customer behavior toward cryptocurrencies. In all these contexts, cryptocurrency adoption can enhance value co-creation. Finally, this study provides valuable insights for stakeholders.
Nature as a Co-Teacher in Early Childhood Language Education
Authors: Prins Jannette , Gaikhorst Lisa , Hovinga Dieuwke 
Published: February 2025

Abstract
Playing in nature-based places supports early childhood development. In previous years, studies have shown the benefits of nature play for healthy child development, including language development. For early childhood teachers it is insightful to learn together how to develop language education in nature that is supportive of their student’s language development. The aim of this study is to investigate how early childhood education (ECE) teachers make nature-based places function as language learning environments in EC language education. The study took a collaborative action-based research approach and worked in communities of practice (CoP). In these communities, 55 teachers across five schools gathered six times. Based on the analysis of the shared conversations we defined the supportive aspects of nature-based places and related them to the expected outcomes of early childhood language education. We also described the professional changes they made to be able to teach language in nature. These changes were summarized in a model that informs early childhood teachers how to include the pedagogical and linguistic function of nature-based places to work towards the outcomes of EC language education.
Designing responsible agents
Authors: Gudmunsen Zacharus 
Published: February 2025

Abstract
Raul Hakli & Pekka Mäkelä (2016, 2019) make a popular assumption in machine ethics explicit by arguing that artificial agents cannot be responsible because they are designed. Designed agents, they think, are analogous to manipulated humans and therefore not meaningfully in control of their actions. Contrary to this, I argue that under all mainstream theories of responsibility, designed agents can be responsible. To do so, I identify the closest parallel discussion in the literature on responsibility and free will, which concerns ‘design cases’. Design cases are theoretical examples of agents that appear to lack responsibility because they were designed, philosophers use these cases to explore the relationship between design and responsibility. This paper presents several replies to design cases from the responsibility literature and uses those replies to situate the corresponding positions on the design and responsibility of artificial agents in machine ethics. I argue that each reply can support the design of responsible agents. However, each reply also entails different levels of severity in the constraints for the design of responsible agents. I offer a brief discussion of the nature of those constraints, highlighting the challenges respective to each reply. I conclude that designing responsible agents is possible, with the caveat that the difficulty of doing so will vary according to one’s favoured reply to design cases.
Convergence to Bohmian Mechanics in a de Broglie-Like Pilot-Wave System
Authors: Darrow David 
Published: February 2025

Abstract
Bohmian mechanics supplements the quantum wavefunction with deterministic particle trajectories, offering an alternate, dynamical language for quantum theory. However, the Bohmian wavefunction evolves independently of these trajectories, and is thus unaffected by the observable properties of the system. While this property is widely assumed necessary to ensure agreement with quantum mechanics, much work has recently been dedicated to understanding classical pilot-wave systems, which feature a two-way coupling between particle and wave. These systems—including the “walking droplet” system of Couder and Fort (Couder and Fort (2006) Phys. Rev. Lett. 97:154101) and its various abstractions (Dagan and Bush (2020) CR Mecanique 348:555–571; Durey and Bush (2020) Front. Phys. 8:300; (2021) Chaos 31:033136; Darrow and Bush (2024) Symmetry 16:149)—allow us to investigate the limits of classical systems and offer a touchstone between quantum and classical dynamics. In this work, we present a general result that bridges Bohmian mechanics with this classical pilot-wave theory. Namely, Darrow and Bush ((2024) Symmetry 16:149) recently introduced a Lagrangian pilot-wave framework to study quantum-like behaviours in classical systems; with a particular choice of particle-wave coupling, they recover key dynamics hypothesised in de Broglie’s early double-solution theory (de Broglie (1970) Foundations Phys. 1:5–15). We here show that, with a different choice of coupling, their de Broglie-like system reduces exactly to single-particle Bohmian mechanics in the non-relativistic limit. Our result clarifies that, while multi-particle entanglement is impossible to replicate in general with local, classical theories, no such restriction exists for single-particle quantum mechanics. Moreover, connecting with the previous work of Darrow and Bush, our work demonstrates that de Broglie’s and Bohm’s theories can be connected naturally within a single Lagrangian framework. Finally, we present an application of the present work in developing a single-particle analogue for position measurement in a de Broglie-like setting.
Cohesive instability in elastomers: insights from a crosslinked Van der Waals fluid model
Authors: Lamont Samuel C. , Bouklas Nikolaos , Vernerey Franck J. 
Published: February 2025

Abstract
The resistance to volumetric deformations displayed by polymer networks is largely due to secondary and tertiary interactions between neighboring polymer chains. These interactions are both entropic and enthalpic in nature but are fundamentally different from the entropic forces that resist shearing in these networks. In this paper, we introduce a new depiction of elastomers as a crosslinked Van der Waals fluid. Starting from first principles, we develop constitutive equations that are implemented in a continuum model as well as a discrete network model. Our models predict that the failure of polymer networks may be driven by an instability in the underlying polymer bulk ‘fluid’ or by the breaking of polymer chains, depending on the loading path taken. The results of this study indicate that material failure in elastomers exposed to a purely triaxial state, such as in a poker chip experiment, may be driven by an entirely different mode of instability than those deformed in pure shear, such as in a uniaxial tension experiment.
A Study on Consumer-Centric Health Information Provision Strategy Using SWOT-AHP -Focusing on the National Health Information Portal
Authors: Baek Jaeeun 
Published: February 2025

Abstract
Approximately 70% of Koreans access health and medical information online. Health information providers play a crucial role in enhancing public health by ensuring that individuals can effectively consume and utilize this information according to their information-seeking behaviors. However, existing tools for evaluating health information websites have significant limitations. These tools are often one-size-fits-all and lack strategic recommendations for delivering consumer-centered health information. There is a clear need for alternative approaches beyond merely identifying the quality factors that satisfy consumers. A Strengths, Weaknesses, Opportunities, and Threats—Analytic Hierarchy Process (SWOT-AHP) evaluates both internal and external environmental factors of a health information website, which provides strategies based on the prioritization and weighting of quality factors. Specifically, the 'National Health Information Portal,' a platform provided by the Korea Disease Control and Prevention Agency, was assessed through a comprehensive review of prior research and a SWOT analysis, followed by an AHP survey involving 15 experts specializing in health information websites. The findings of the analysis indicate that the most effective development strategy is the SO (Strengths-Opportunities) strategy. This study highlights the need to move beyond uniform evaluation tools and consider the dynamic and complex nature of the Internet, emphasizing the importance of developing prioritized strategies based on evaluations from both consumers and providers.
Best Practices for Conducting Systematic Reviews: Perspectives of Experienced Systematic Review Researchers in Educational Sciences
Authors: Fromm Yvonne M. , Martin Florence , Gezer Tuba , Ifenthaler Dirk 
Published: February 2025

Abstract
Systematic reviews have been gaining attention as a research methodology and are among the most frequently cited sources in educational sciences. However, best practices for conducting systematic reviews in educational sciences are still evolving. We conducted N = 12 qualitative interviews to learn from experienced systematic review researchers across various educational disciplines and geographic locations. The interviews focused on the different steps of the systematic review process (i.e., designing, including/excluding, screening, coding, analyzing, reporting), benefits, challenges, team collaboration, ethical considerations, and technologies while conducting systematic reviews. Several themes were identified, providing best practices for conducting systematic reviews and highlighting the importance of a systematic, comprehensive, and transparent research process. The findings have implications for researchers who wish to conduct systematic reviews, instructors who teach students on conducting systematic reviews, as well as editors and reviewers of journals who publish systematic reviews.