bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stage-specific phenotypic and transcriptional alterations in keratinocytes exposed to acute and chronic blue light
Authors: Tonolli Paulo Newton , Nagahashi Marie Suely Kazue , Oba-Shinjo Sueli Mieko , Monteiro de Assis Leonardo Vinicius , Baptista Maurício S. 
Published: November 2024

ABSTRACTDespite evidence that visible light (VL) has similar effects on human skin as those of UVA, VL is often viewed as harmless. High SPF sunscreen prevents erythema but can lead to overexposure to UVA and VL, with unknown consequences. To explore the impact of chronic blue light exposure, we irradiated (50 J/cm², λ= 408 nm, three times a week) human immortalized keratinocytes under acute (3 irradiations), intermediate (14 irradiations), and chronic (42 irradiations) blue-light exposure, monitoring phenotypic and gene expression changes. Chronically exposed keratinocytes exhibit increased nuclei area, chromatin alterations, higher proliferation, and apoptosis resistance, mirroring the consequences of chronic UVA exposure. While acute exposure upregulated keratinization and downregulated tissue repair and apoptosis genes, chronically exposed cells had upregulated genes involved with energy metabolism and oxidative phosphorylation and downregulated genes were enriched for immune and inflammatory responses. Specific transcriptional factors were identified in the acute and chronic stages, some of them had been associated with UVB exposure. We identified some changes in chronically irradiated keratinocytes similar to the malignant transformation, emphasizing the need for further research on the long-term impacts of blue light exposure on human skin.
Ultra-small Particle Size Nanobubbles Water Drinking Exerts Antifatigue Effects in Chronic Exercise Fatigue Rats via Improving Antioxidative Activities
Authors: Qi Jie , Yang Tieyi , Zhao Yinyan , Liu Yinuo , Han Maorui , Liu Yue , Zhao Jiayin , Zhang Jun 
Published: November 2024

AbstractChronic exercise fatigue is a prevalent issue that can lead to a decline in physical performance, metabolic dysregulation, and oxidative damage, posing significant health risks. This study aims to investigate the effects of Ultra-small Particle Size Nanobubbles Water (UsNBsW) which was Koishio technology produced water on physiological and biochemical parameters in a rat model of chronic exercise fatigue. We established a chronic fatigue model, and evaluated various physiological and biochemical indicators. Our key findings revealed that Koishio water significantly improved rats’ swimming performance, reduced blood lactate levels, and enhanced antioxidant capacity, as evidenced by increased hemoglobin content, decreased lactate dehydrogenase and creatine kinase activities (p<0.01). Additionally, liver glycogen levels were notably elevated (p<0.05). Futhermore, the antioxidant markers, including superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) activities were significantly higher (p<0.01), while malondialdehyde (MDA) and 8-hydroxydeoxyguanosine (8-OH-dG) levels were markedly reduced (p<0.01). Our results provide new clues for the promising role of Koishio water in mitigating chronic exercise fatigue and supply a reliable reference for future research into nutritional interventions and recovery strategies in exercise physiology.
Global and local nature of cortical slow waves
Authors: Alegre-Cortés J. , Mattia M. , Sáez M. , Reig R. 
Published: November 2024

AbstractExplaining the macroscopic activity of a recorded neuronal population from its known microscopic properties still poses a great challenge, not just because of the many local agents that shape the output of a circuit, but due to the impact of long-range connections from other brain regions. Here we use a computational model to explore how local and global components of a network shape the Slow Wave Activity (SWA). We performed a sensitivity analysis of multiple cellular and synaptic features in models of isolated and connected networks. This allowed us to explore how the interaction of local properties and long-range connections shape the SWA of a population and its neighbors, as well as how the sequential propagation of active “Up” states lead to the emergence of preferred modes of propagation. We described relevant features of cortical Up states that are modulated by “stiff” combinations of parameters of the local circuit as opposed to other that are sensitive to the level of excitability of the whole network and the input coming from neighbor populations. We found that while manipulations in the synaptic excitatory/inhibitory balance can create local changes, cellular components that modulate the excitability or adaptation of a population have a long-range effect that leads to changes in neighbor populations too. Additionally, our simulations guidedin vivoexperiments that showed how heterogeneities in excitability between cortical areas can determine the directionality of travelling waves during SWA. We expect these results to motivate future research exploring and comparing cortical circuits through the analysis of their Up states.
StratPal: An R package for creating stratigraphic paleobiology modeling pipelines
Authors: Hohmann Niklas , Jarochowska Emilia 
Published: November 2024

AbstractThe fossil record is an important source of information to understand biological processes that take place over timescales not accessible to human observation or experiments. Fossil data is not a perfect reflection of past biological change, but a joint expression of stratigraphic, ecological, evolutionary, and taphonomic effects. Stratigraphic biology is a field dedicated to identifying these effects and accounting for them.We presentStratPal, a R package in which stratigraphic, ecological, evolutionary, and taphonomic modules can be combined into modeling pipelines for stratigraphic paleobiology.We describe the types of data that can be modified and transformed using this approach, and briefly discuss potential extensions.As working examples, we show how the pipeline can be used to model clustering of last occurrences at hiatuses and condensation surfaces, leading to artefactual “extinction events” caused by stratigraphic gaps.
Strategy to measure tau
g−2
via photon fusion in LHC proton collisions
Authors: Beresford Lydia , Clawson Savannah , Liu Jesse 
Published: November 2024

Measuring the tau-lepton (τ) anomalous magnetic moment aτ=(gτ−2)/2 in photon fusion production (γγ→ττ) tests foundational Standard Model principles. However, γγ→ττ eludes observation in LHC proton collisions (pp) despite enhanced new physics sensitivity from higher-mass reach than existing probes. We propose a strategy to measure pp→p(γγ→ττ)p by introducing the overlooked electron-muon signature with vertex isolation for signal extraction. Applying the effective field theory of dipole moments, we estimate 95% confidence level sensitivity of −0.0092<aτ<0.011 assuming 300  fb−1 luminosity and 5% systematics. This fourfold improvement beyond existing constraints opens a crucial path to unveiling new physics imprinted in tau-lepton dipoles.

Published by the American Physical Society
2024
Diamond of infrared equivalences in abelian gauge theories
Authors: He Temple , Mitra Prahar , Zurek Kathryn M. 
Published: November 2024

We demonstrate a tree-level equivalence between four distinct infrared objects in (d+2)-dimensional Abelian gauge theories. These are (i) the large gauge charge Qϵ where the function ϵ on the sphere parametrizing large gauge transformations is identified with the Goldstone mode θ of spontaneously broken large gauge symmetry; (ii) the soft effective action that captures the dynamics of the soft and Goldstone modes; (iii) the edge mode action with Neumann boundary conditions; and (iv) the Wilson line dressing of a scattering amplitude, including a novel dressing for soft photons, which have local charge distributions despite having vanishing global charge. The promotion of the large gauge parameter to the dynamical Goldstone and the novel dressing of soft gauge particles give rise to intriguing possibilities for the future study of infrared dynamics of gauge theories and gravity.

Published by the American Physical Society
2024
Prognostication of half-cell potential for slabs cathodically protected with AZ91D using explainable and interpretable machine learning
Authors: Pandey Shikha , Murthy Yogesh Iyer , Gandhi Sumit 
Published: November 2024

Purpose
This study aims to investigate the use of 20 commonly applied regression methods to predict concrete corrosion. These models are assessed for accuracy and interpretability using SHapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) analysis to provide structural health monitoring prognostic tools.

Design/methodology/approach
This study evaluated model performance using standard measures including root mean square error (RMSE), mean square error (MSE), R-squared (R2) and mean absolute error (MAE). Interpretability was evaluated using SHAP and LIME. The X and Y distances, concrete age, relative humidity and temperature were input parameters, whereas half-cell potential (HCP) values were considered output. The experimental data set consisted of observations taken for 270 days.

Findings
Gaussian process regression (GPR) models with rational quadratic, square exponential and matern 5/2 kernels outperformed others, with RMSE values around 16.35, MSE of roughly 267.50 and R2 values near 0.964. Bagged and boosted ensemble models performed well, with RMSE around 17.20 and R2 values over 0.95. Linear approaches, such as efficient linear least squares and linear SVM, resulted in much higher RMSE values (approximately 40.17 and 40.02) and lower R2 values (approximately 0.79), indicating decreased prediction accuracy.

Practical implications
The findings highlight the effectiveness of GPR models in forecasting corrosion in concrete buildings. The use of both SHAP and LIME for model interpretability improves the transparency of predictive maintenance models, making them more reliable for practical applications.

Social implications
Safe infrastructure is crucial to public health. Predicting corrosion and other structural problems improves the safety of buildings, bridges and other community-dependent structures. Public safety, infrastructure durability and transportation and utility interruptions are improved by reducing catastrophic breakdowns.

Originality/value
This study reduces the gap between model accuracy and interpretability in predicting concrete corrosion by proposing a data-driven method for structural health monitoring. The combination of GPR models and ensemble approaches provides a solid foundation for future research and practical applications in predictive maintenance. This comprehensive approach underscores the potential of data-driven methods for predictive maintenance in concrete structures, with implications for broader applications in various industries.
Effects of the spectator's emotional attachment to esports players on the sponsoring brand
Authors: Navarro-Lucena Fernando , Molinillo Sebastian , Anaya-Sánchez Rafael 
Published: November 2024

PurposeThe purpose of this study is to understand whether the spectator’s emotional attachment to esports’ players is key for the sponsoring brand’s outcomes. A theoretical model based on the attachment, social influence and brand communities’ literature is proposed.Design/methodology/approachData were collected through an online survey from a sample of 1,355 regular esports viewers. The proposed conceptual model was evaluated using partial least squares-structural equation modeling (PLS-SEM).FindingsThe results showed that emotional attachment to esports players exerts a large effect on the viewer’s engagement with the community and his or her intention to view its content for longer. These two variables are key in explaining the viewer’s intention to perform positive behaviors toward the sponsoring brand, such as recommendation, purchase intentions and co-creation.Originality/valueThis study improves the understanding about the effects of the viewer’s emotional bond with esports players and the bond’s impact on the development of positive behaviors toward the sponsoring brand.
Robot chefs: the impacts, compatibility and suitability
Authors: Seyitoğlu Faruk , Fusté-Forné Francesc , Yiğit Serkan , Engin Süleyman 
Published: November 2024

PurposeThis research investigates the impacts, compatibility and suitability of robot chefs in a restaurant context from the perspective of human chefs.Design/methodology/approachBased on a qualitative research approach, semi-structured interviews were conducted with 27 chefs working in restaurants in Türkiye.FindingsThe study revealed the positive and negative impacts of robot chefs in restaurants, spanning aspects such as competitiveness, labour/human resources, financial, service quality, creativity and innovativeness and sustainability. The findings also shed light on the lack of necessary humanoid chef competencies of robot chefs and the suitability of restaurant concepts for their use.Originality/valueAlthough previous research has explored the integration of automation and robotics in hospitality experiences and the perceptions of guests towards robot chefs, a significant gap exists in understanding the viewpoints of human chefs. This study makes a novel contribution to the theoretical and practical understanding of the use of robot chefs in the kitchen and the dynamics of their interaction with human chefs.
Building harmonious human–AI relationship through empathy in frontline service encounters: underlying mechanisms and journey stage differences
Authors: Yang Bo , Sun Yongqiang , Shen Xiao-Liang 
Published: November 2024

Purpose
This study aims to deepen our understanding of how chatbots’ empathy influences humans–AI relationship in frontline service encounters. The authors investigate the underlying mechanisms, including perceived anthropomorphism, perceived intelligence and psychological empowerment, while also considering variations between different stages of the customer journey (before and after purchase).

Design/methodology/approach
Data collection was conducted through an online survey distributed among 301 customers who had experience using AI-based service chatbot in frontline service encounters in China. The hypotheses were examined through structural equation modeling and multi-group analysis.

Findings
The findings of this study revealed the positive impacts of emotional and cognitive empathy on humans–AI relationship through perceived anthropomorphism, perceived intelligence and psychological empowerment. Furthermore, this study verified the moderating effect of the customer journey stages, such that the impacts of anthropomorphism and intelligence on humans–AI relationship displayed more strength during the pre- and post-purchase phases, respectively.

Practical implications
This research offers practical implications for companies: recognize and enhance empathy dimensions in AI-based service chatbot to empower human–AI relationships; boost customer empowerment in human–AI interactions; and tailor anthropomorphic features in the pre-purchase stage and improve problem-solving capability in the post-purchase stage to enrich user experiences.

Originality/value
This study extends relationship marketing theory and human–AI interaction frameworks by investigating the underlying mechanisms of the effect of two-dimensional empathy on human–AI relationship. This study also enriches service design theories by revealing the moderating effect of customer journey stages.
Enhancing transfer of training in a power major in India
Authors: Ragini  , Ghosh Piyali , Shanmugam Senthil Kumar 
Published: November 2024

PurposeThis study has applied the model by Baldwin and Ford (1988) to empirically examine the influence of select trainee characteristics (i.e. instrumentality and motivation to transfer) and transfer design as a training design factor on the transfer of training to work. It also investigates the possible mediating role of the motivation to transfer and the moderating role of social support at work (comprising supervisor and peer support) in the transfer mechanism.Design/methodology/approachA self-reported questionnaire was used to survey employees working in a power major in India. In the first stage, we selected one geographical region of the organization using judgmental sampling. In the next stage, executives and non-executives from all five coal-based power stations in that region were selected using systematic sampling. Responses from 411 such employees were analyzed using PROCESS Macro in SPSS. A mediation analysis was done using Model 4, while the moderated mediation hypotheses were tested using Model 7 in PROCESS Macro.FindingsInstrumentality and transfer design were found to impact training transfer through motivation to transfer. While supervisor support moderated the mediational impact of both predictors through transfer motivation, peer support moderated only the impact of instrumentality on transfer through transfer motivation.Originality/valueThis is the first empirical work that has integrated important predictors at trainee, training design, and work environment levels based on the perspective of factors an organization can control. Besides, establishing supervisor and peer support as contextual factors adds to the celebrated model by Baldwin and Ford.
Coping with interest incongruence: the joint roles of proactive personality and job crafting
Authors: Weng Qingxiong , Chen Lixin 
Published: November 2024

PurposeDrawing on the conservation of resources (COR) theory, we propose a mediated moderation showing how proactive personality (PP) and job crafting toward interests (JC-interests) influence the relationship between interest incongruence and cyberloafing.Design/methodology/approachWe used a three-wave survey and collected data from 429 full-time employees working in different industries in China.FindingsWe found that interest incongruence was positively related to cyberloafing. Furthermore, this positive relationship was more significant when employees were low in PP or engaged in low levels of JC-interests. In addition, the moderating effect of PP was mediated by JC-interests.Practical implicationsThese findings are helpful for organizations in figuring out how to mitigate the detrimental effects of interest incongruence by providing more support to proactive employees and implementing various JC interventions.Originality/valueThis study suggests that PP and JC-interests (resource gain strategy) could mitigate the positive effect of interest incongruence on employees’ cyberloafing.
Seeking consensus on physician leadership development in rural and remote Indonesian primary care settings: a Delphi study
Authors: Maulina Fury , Hasanbasri Mubasysyir , Scheele Fedde , Busari Jamiu O. 
Published: November 2024

Purpose
This study aims to formulate a consensus on primary care physicians’ leadership competencies tailored to Indonesia’s rural and remote health systems using the LEADS framework. Effective physician leaders are essential in these settings; however, many physicians lack the necessary leadership qualifications due to insufficient training. From a medical education perspective, this issue is further compounded by the lack of consensus on leadership course content.

Design/methodology/approach
The study used a mixed-method approach with a concurrent triangulation strategy. Concurrently, a two-round Delphi study and qualitative interviews were conducted. The Delphi study involved academics, rural and remote primary care physicians, intern doctors (similar to house officers), clerks and medical students and used descriptive analysis. Semi-structured interviews, guided by an interview guide, were analysed using inductive thematic analysis.

Findings
From the initial 62 LEADS framework statements, the authors identified 52 physician leadership attributes in round 1 and 41 attributes in round 2. Qualitative interviews revealed three main themes: the significance of physician leadership, the physician leadership curriculum and its potential and impact.

Originality/value
The study established consensus and provided scholarly insights into the leadership development necessary for primary care physicians in rural and remote areas. This is essential for developing Indonesia’s medical leadership curriculum, with the ultimate goal of improving health outcomes in these settings.
The roles of Zhongyong and political efficacy on citizens’ e-participation in digital government platform
Authors: Lai Ruqiang , Beh Loo-See 
Published: November 2024

Purpose
This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation intention). Zhongyong is a dialectical way of thinking that influences Chinese behavioral intentions and approaches. Political efficacy is a predictor of traditional political participation. Both of them have not been adequately investigated in this digital era, particularly regarding e-participation in digital government platforms. Therefore, this study investigates their relationships.

Design/methodology/approach
A quantitative model is constructed to examine the relationship between Zhongyong and citizens’ e-participation intention (internal and external) political efficacy serves as a mediator. An online questionnaire gathered 345 responses from three representative provinces of China (i.e. Guangdong, Jiangxi and Shanxi). Partial least square structural equation modeling (PLS-SEM) was adopted and executed with Smart PLS 4.0 to analyze the data.

Findings
Zhongyong and (internal and external) political efficacy can positively influence citizens’ e-participation intention. Moreover, (internal and external) political efficacy mediates the relationship between Zhongyong and citizens’ e-participation intention.

Research limitations/implications
This research focuses on Chinese culture Zhongyong and surveyed Chinese citizens, thus is limited to the Chinese context. Second, this study used cross-sectional data. Third, this study only investigated two factors’ effects on e-participation, i.e. Zhongyong and political efficacy.

Practical implications
The findings provide multifaceted strategies for improving citizens’ adoption of digital government platforms for e-participation. Incentive policies to boost citizens’ (internal and external) political efficacy can be launched. To achieve broader citizen participation, a participative culture can be cultivated based on Zhongyong.

Originality/value
This study constructs a novel model that innovatively links Zhongyong thinking, political efficacy and e-participation intention. The results underscore the importance of Zhongyong culture and political efficacy in increasing citizens’ e-participation intention.