bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations
Authors: Kübler Jens , Brendel Jan M. , Küstner Thomas , Walterspiel Jonathan , Hagen Florian , Paul Jean-François , Nikolaou Konstantin , Gassenmaier Sebastian , Tsiflikas Ilias , Burgstahler Christof , Greulich Simon , Winkelmann Moritz T. , Krumm Patrick 
Published: October 2024

Abstract
Purpose
This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic male marathon runners.

Material and methods
We prospectively recruited 100 asymptomatic male marathon runners over the age of 45 for CAD screening. CCTA was analyzed using AI models (CorEx and Spimed-AI) on a local server. The models focused on detecting significant CAD (≥ 50% diameter stenosis, CAD-RADS 3, 4, or 5) and distinguishing hemodynamically significant stenosis (FFR ≤ 0.8) from non-significant stenosis (FFR > 0.8). Statistical analysis included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy.

Results
The AI model demonstrated high sensitivity, with 91.2% for any CAD and 100% for significant CAD, and high NPV, with 92.7% for any CAD and 100% for significant CAD. The diagnostic accuracy was 73.4% for any CAD and 90.4% for significant CAD. However, the PPV was lower, particularly for significant CAD (25.0%), indicating a higher incidence of false positives.

Conclusion
AI-enhanced CCTA is a valuable non-invasive tool for detecting CAD in asymptomatic, low-risk populations. The AI model exhibited high sensitivity and NPV, particularly for identifying significant stenosis, reinforcing its potential role in screening. However, limitations such as a lower PPV and overestimation of disease indicate that further refinement of AI algorithms is needed to improve specificity. Despite these challenges, AI-based CCTA offers significant promise when integrated with clinical expertise, enhancing diagnostic accuracy and guiding patient management in low-risk groups.
Association of youth climate change worry with present and past mental health symptoms: a longitudinal population-based study
Authors: Vergunst Francis , Prentice Caitlin M. , Orri Massimiliano , Berry Helen L. , Paquin Vincent , Vitaro Frank , Tremblay Richard , Côté Sylvana M. , Geoffroy Marie-Claude 
Published: October 2024

AbstractYoung people are worried about climate change but the association with current and past mental health symptoms is rarely examined in longitudinal population-based samples. Drawing on a population-based birth cohort from the Canadian province of Quebec (n = 1325), this study used a cross-over design to (1) test the association between climate change worry at age 23-years and concurrent mental health symptoms assessed on standardised instruments, and (2) test the association between adolescent (15 and 17 years) symptoms of anxiety, depression, inattention-hyperactivity, and aggression-opposition and climate worry at age 23-years. Participant sex, cognitive ability, socioeconomic status, and parental mental health were adjusted for. Descriptive statistics showed that most participants were worried about climate change: 190 (14.3%) were extremely worried, 383 (28.9%) were very worried, 553 (41.7%) were somewhat worried, and 199 (15.0%) were not at all worried. In analysis 1, worry about climate change was associated with significantly higher concurrent anxiety, depression, and self-harm symptoms, even after adjustment for adolescent symptoms. In analysis 2, anxious adolescents were significantly more likely to be extremely worried about climate change six years later (RRR = 1.51, 95%CI = 1.10–2.07), while aggressive-oppositional adolescents were significantly less likely to be somewhat worried (RRR = 0.79, 95%CI = 0.63–0.0.99), very worried (RRR = 0.61, 95%CI = 0.48–0.78), or extremely worried (RRR = 0.51, 95%CI = 0.37–0.72). Taken together, participants who were worried about climate change had more concurrent mental health symptoms but were also more likely to have prior symptoms. Adolescents with higher anxiety were more likely to worry about climate change in early adulthood, while those with higher aggression-opposition were less likely to worry. Future studies should track climate worry longitudinally alongside symptoms using prospective follow-up studies.
Is there a direct benefit of using electronic commerce and electronic banking in mitigating climate change?
Authors: Manta Alina Georgiana , Doran Nicoleta Mihaela , Hurduzeu Gheorghe , Bădîrcea Roxana Maria , Doran Marius Dalian , Manta Florin Liviu 
Published: October 2024

AbstractThe main objective of the study is to highlight the impact that the use of electronic commerce (e-commerce), electronic banking (e-banking) services have on climate change in European Union (EU) countries. Thus, we built a panel model to evaluate the correlations between e-commerce, e–banking, electronic sales channels, and climate change mitigation during 2011–2022 period for the EU countries. Furthermore, we applied the Fully Modified Ordinary Least Squares (FMOLS) method including three independent variables that evaluate the use of digital commerce applications and the dependent variable for climate change. A significant revelation of the study is the positive contribution of e-commerce activities to climate change mitigation. Furthermore, the study emphasizes the role of e-banking in decreasing the consequences of climate change. However, the study also uncovers a more complex aspect regarding electronic sales channels. It finds that not all forms of electronic sales are effective in reducing climate change impacts. Thus, the study highlights the potential benefits of e-commerce and e-banking in the context of climate change mitigation, while also warning against a one-size-fits-all approach to the adoption of digital commerce models. These findings have important implications for policymakers, businesses, and researchers aiming to align digital transformation with sustainable development goals.
Adapting to Competition: Solar PV Innovation in Europe and the Impact of the ‘China Shock’
Authors: Andres Pia 
Published: October 2024

AbstractLow cost solar energy is key to enabling the transition away from fossil fuels. Despite this, the European Union followed the United States’ example in imposing anti-dumping tariffs on solar panel imports from China in 2013, arguing that Chinese panels were unfairly subsidised and harmed its domestic industry. This paper examines the effects of Chinese import competition on firm-level innovation in solar photovoltaic technology by European firms using a sample of 10,137 firms in 15 EU countries over the period 1999–2020. I show that firms which were exposed to higher import competition innovated more if they had a relatively small existing stock of innovation, but less if their historical knowledge stock fell within the top 10th percentile of firms in the sample. This suggests that newer firms were more able to respond to increased competition by innovating, while firms with a large historical stock of innovation may have been locked into old technological paradigms. As firms with a smaller knowledge stock tended to innovate more overall, trade with China appears to have been beneficial in encouraging innovation among the most innovative firms. However, I also find evidence that import competition increased the probability of exit among firms in the sample.
Far-Zone Effects for Spherical Integral Transformations II: Formulas for Horizontal Boundary Value Problems and Their Derivatives
Authors: Šprlák Michal , Pitoňák Martin 
Published: October 2024

AbstractIntegral formulas represent a methodological basis for the determination of gravitational fields generated by planetary bodies. In particular, spherical integral transformations are preferred for their symmetrical properties with the integration domain being the entire surface of the sphere. However, global coverage of boundary values is rarely guaranteed. In practical calculations, we therefore split the spherical surface into a near zone and a far zone, for convenience, by a spherical cap. While the gravitational effect in the near zone can be evaluated by numerical integration over available boundary values, the contribution of the far zone has to be precisely quantified by other means. Far-zone effects for the isotropic integral transformations and those depending on the direct azimuth have adequately been discussed. On the other hand, this subject has only marginally been addressed for the spherical integral formulas that are, except for other variables, also functions of the backward azimuth. In this article, we significantly advance the existing geodetic methodology by deriving the far-zone effects for the two classes of spherical integral transformations: (1) the analytical solutions of the horizontal, horizontal–horizontal, and horizontal–horizontal–horizontal BVPs including their generalisations with arbitrary-order vertical derivative of respective boundary conditions and (2) spatial (vertical, horizontal, or mixed) derivatives of these generalised analytical solutions up to the third order. The integral and spectral forms of the far-zone effects are implemented in MATLAB software package, and their consistency is tested in closed-loop simulations. The presented methodology can be employed in upward/downward continuation of potential field observables or for a quantification of error propagation through spherical integral transformations.
Academics’ intention to sustain new teaching practices after the COVID-19 pandemic: Examined through the theory of planned behaviour
Authors: Broadbent J. , Bearman M. , Boud D. , Dawson P. 
Published: October 2024

AbstractFollowing the COVID-19 pandemic, higher education teachers, having transitioned to new teaching methodologies, including online learning and modified assessment strategies, face the question: Do they intend to revert to pre-pandemic ways of operating or retain their new practices? A university-wide invitation with an incentive resulted in 63 academics from all four faculties of the university participating in this study. Using the Theory of Planned Behaviour, this exploratory research assessed the roles of attitudes, subjective norms, and perceived control in determining academics’ intentions to maintain instructional shifts. Collectively, these elements robustly predicted intention, explaining 38% of the variance. Notably, our findings revealed that fostering a positive attitude towards these changes was the sole unique driver for wanting to maintain them. Without a conducive attitude to teaching, the efforts of others and perceived control become inconsequential in effecting educational change. Within the limitations of a small sample size, our study offers an understanding of the variables influencing academics’ intentions to sustain shifts in teaching practices. Such knowledge can guide future decision-making in higher education environments, especially when substantial transformation is required.
Observation of deep currents around a seamount between the Japan and Kuril trenches
Authors: Ueno Takeru , Fujio Shinzou , Yanagimoto Daigo 
Published: October 2024

AbstractHydrographic observations and two-year current measurements revealed the flow around the Erimo Seamount between the Japan and Kuril trenches. Northward currents were observed to flow both around the seamount and on the eastern flank of the trench. Since the dissolved oxygen concentration of the former is higher than that of the latter, these currents correspond to the western and eastern branch currents of the deep western boundary current in the North Pacific, respectively. The western branch current forms a Taylor cap over the seamount, although during certain periods, it joins the eastern branch current. During such periods, a strong jet forms around the seamount and the Taylor cap is washed away. Such alternately intensified currents are consistent with previous observations of the Japan Trench. On the western flank of the trench, a southward current flows near the seafloor, while an eastward current is formed at a depth of 3360 m due to the confluence of the currents from north and south.
Who is Getting the Message? Sociodemographic Factors and Gambling Behavior Associated with Awareness of the Swedish National Self-Exclusion Registry Spelpaus.se
Authors: González Díaz Katya , Lagerlund Magdalena , Rostila Mikael , Cisneros Örnberg Jenny 
Published: October 2024

AbstractAwareness and utilization of health interventions can be influenced by sociodemographic factors. These factors play a role in information processing, particularly regarding health messaging. The aim of this study is to analyze how different sociodemographic factors and gambling behaviors are associated with awareness of a (Swedish) gambling self-exclusion register. The study used data from the Swedish longitudinal gambling study (Swelogs) and analyzed n = 6720 participants from a stratified random sample of the Swedish population aged 18–84 years. Logistic regressions were conducted to analyze associations between sociodemographic characteristics, gambling behavior and awareness. Males with middle (OR = 1.70, 95% CI = 1.32–2.19) and high income (OR = 1.58, 95% CI = 1.19–2.09) and females with high (OR = 1.35, 95% CI = 1.03–1.76) and middle-level education (OR = 1.35, CI = 1.04–1.76), had higher awareness of Spelpaus.se. Online gamblers with problematic gambling behavior were three times (OR = 3.69, 95% CI = 2.15–6.37) more likely to be aware than non-gamblers. Online gamblers born in Sweden were twice (OR = 1.95, 95% CI = 1.19–3.19) as likely to be aware compared to those born outside of Europe. Males with high level of awareness had higher PGSI scores compared to women. Education could increase awareness of potential health risks and opportunities for intervention, particularly among women. Future interventions should be tailored to cater to the specific needs of individuals with lower levels of awareness, to facilitate enhancing their awareness and ultimately promoting a more equitable utilization of self-exclusion measures.
Defining common ground
Authors: Yalcin Seth 
Published: October 2024

AbstractStalnaker (Context, Oxford University Press, Oxford, 2014) defends two ideas about common ground. The first is that the common ground of a conversation is definable in terms of an iterated propositional attitude of acceptance, so that p is common ground iff p is commonly accepted. The second is the idea that the “default setting" of conversational acceptance is belief, so that as a default, what is accepted in conversation coincides with what is (commonly) believed. In this paper, I argue that we should favor a pair of contrasting theses instead. First, I argue that we should identify the common ground with what is common knowledge about what is accepted, so that p is common ground iff it is common knowledge that p is accepted. Thus the attitude that is iterated in the definition of common ground is not acceptance but knowledge. Second, I argue that the “default setting" for conversational acceptance is not belief, but knowledge.
Healthcare providers' advocacy approaches and ethical challenges in delivering healthcare to undocumented migrants: a scoping review
Authors: Abdulrazeq Fayez , März Julian , Biller-Andorno Nikola , Gastmans Chris 
Published: October 2024

AbstractDelivering healthcare to undocumented migrants presents a complex challenge for healthcare providers. Integrating advocacy efforts into their daily practices can be ambiguous in practical terms, stemming from the intricate task of addressing the health needs of this population while simultaneously advocating for their health rights within the constraints imposed on them. This study seeks to consolidate findings from literature regarding the advocacy approaches employed by healthcare providers and the correlated ethical challenges. We conducted a scoping review of qualitative literature by systematically searching four databases—PubMed/Medline, Embase, Cinahl, and Cochrane Library. For developing our search strategy, we employed the PICO (Population, Intervention, Comparison, Outcome) scheme. Our analysis followed the qualitative content analysis approach proposed by Graneheim and Lundman. 30 studies were included, revealing a cumulative total of 915 healthcare providers who were interviewed. A total of 30 themes emerged comprising 14 advocacy approaches and 16 ethical challenges. Healthcare providers made a deliberate choice to engage in advocacy, responding to injustices experienced by undocumented migrants. The spectrum of advocacy initiatives varied, encompassing voluntary participation in healthcare provision, empathetic understanding, and healthcare-focused strategies. We also identified numerous correlated ethical challenges, necessitating healthcare providers to strike a balance between their eagerness to assist and their professional competence, respect the autonomy of undocumented migrants, and establish trust with them. These findings not only offer practical guidance for healthcare providers to enhance accessibility to healthcare services for undocumented migrant patients but also foster awareness of the ethical challenges that may arise in their advocacy roles.
Computational Modelling of the Impact of Evaporation on In-Vitro Dermal Absorption
Authors: Deacon Benjamin N. , Silva Samadhi , Lian Guoping , Evans Marina , Chen Tao 
Published: October 2024

Abstract
Purpose
Volatiles are common in personal care products and dermatological drugs. Determining the impact of evaporation of volatiles on skin permeation is crucial to evaluate and understand their delivery, bioavailability, efficacy and safety. We aim to develop an in-silico model to simulate the impact of evaporation on the dermal absorption of volatiles.

Method
The evaporation of volatile permeants was modelled using vapour pressure as the main factor. This model considers evaporation as a passive diffusion process driven by the concentration gradient between the air-vehicle interface and the ambient environment. The evaporation model was then integrated with a previously published physiologically based pharmacokinetic (PBPK) model of skin permeation and compared with published in vitro permeation test data from the Cosmetics Europe ADME Task Force.

Results
The evaporation-PBPK model shows improved predictions when evaporation is considered. In particular, good agreement has been obtained for the distributions in the evaporative loss, and the overall percutaneous absorption. The model is further compared with published in-silico models from the Cosmetics Europe ADME Task Force where favourable results are achieved.

Conclusion
The evaporation of volatile permeants under finite dose in vitro permeation test conditions has been successfully predicted using a mechanistic model with the intrinsic volatility parameter vapour pressure. Integrating evaporation in PBPK modelling significantly improved the prediction of dermal delivery.
Exploring the Effect of Mathematics Skills on Student Performance in Physics Problem-Solving: A Structural Equation Modeling Analysis
Authors: Tong Tong , Pi Feipeng , Zheng Siyan , Zhong Yi , Lin Xiaochun , Wei Yajun 
Published: October 2024

AbstractStudents’ success in physics problem-solving extends beyond conceptual knowledge of physics, relying significantly on their mathematics skills. Understanding the specific contributions of different mathematics skills to physics problem-solving can offer valuable insights for enhancing physics education. Yet such studies are rare, particularly at the high school level. This study addresses the underexplored area of this topic in secondary education by investigating the associations between physics problem-solving performance using a robust methodological framework. We applied exploratory factor analysis (EFA) to identify latent sub-mathmetics skills relevant to physics problem-solving and employed structural equation modeling (SEM) to examine the causal impact of these skills on students’ performance in physics. The study analyzed data from a municipal-wide assessment involving 1,878 grade 12 students in Southern China. The results demonstrate that mathematics skills impacting high school students’ physics problem-solving performance can be categorized into two sub skills, algebraic skills and geometric skills. It also indicates that algebraic skills have a stronger direct effect on physics problem-solving performance compared to geometric skills in high school setting. These findings suggest that integrating focused algebraic training within physics education can significantly improve student outcomes in STEM fields. We recommend that educators design curricula and instructional strategies that emphasize the development of algebraic skills necessary for solving complex physics problems. Additionally, these findings have important implications for policymakers, who should consider integrating targeted mathematics training within physics curricula to foster interdisciplinary learning and better prepare students for challenges in STEM education.
Conflicting Views of Nature and Their Impact on Evolution Understanding
Authors: Shtulman Andrew 
Published: October 2024

AbstractIn nature, competition within and between species is the norm, yet nature is also reputed to be a “peaceable kingdom” where animals cooperate rather than compete. This study explored how such contrasting views of nature influence students’ biological reasoning. College undergraduates (n = 165) assessed the prevalence of cooperative behaviors, such as food sharing and symbiotic cleaning, and competitive behaviors, such as cannibalism and parasitism, and these assessments were compared to their understanding of evolution as a process of differential survival and reproduction. Participants underestimated the prevalence of competitive behaviors relative to cooperative ones, particularly for behaviors directed toward other members of the same species, and the accuracy of their judgments predicted how well they understood evolution, even when controlling for other predictors of evolution understanding, including perceptions of within-species variation and perceptions of geologic time. These findings suggest that overly benevolent views of nature compete with more realistic views and may hamper our appreciation of the mechanisms of adaptation.