bluuebunny/crossref_metadata_2025_split huggingface dataset:
How do perceived and environmental values influence tourist satisfaction, loyalty, and environmental awareness?
Authors: Sahabuddin Md , Alam Md. Shariful , Nekmahmud Md. 
Published: August 2024

AbstractThis study investigates the sub-dimension of perceived value, environmental value, and employee service quality, influencing tourist satisfaction. This study also examines how tourist satisfaction impacts loyalty, environmentally responsible behavior, and environmental commitment. Data were collected from respondents who had visited the Sundarbans, a UNESCO World Heritage mangrove forest in Bangladesh, resulting in 732 valid responses. The proposed model was investigated using PLS-SEM. Findings reveal that tourists are dissatisfied with the functional, social, and emotional values, while environmental value and employee service quality significantly influence tourist satisfaction. Tourist satisfaction demonstrates a positive relationship with tourist loyalty, environmentally responsible behavior, and environmental commitment to the destination. To our knowledge, this study is the first empirical examination that integrates environmental value and employee service quality with perceived value in the tourism industry of Bangladesh. Grounded in the consumption value theory, this study comprehensively assesses tourists’ satisfaction, loyalty, and environmental awareness within a single model. Theoretical, managerial, and policy implications are discussed to promote a better environment and sustainable tourism destination in the mangrove forest.
Big data and the risk of misguided responsibilization
Authors: Herzog Lisa 
Published: August 2024

AbstractThe arrival of “big data” promises new degrees of precision in understanding human behavior. Could it also allow drawing a finer line between “choice” and “circumstances”? In a culture in which individual responsibility continues to be celebrated, this raises questions about new opportunities for institutional design with a stronger focus on individual responsibility. But what is it that can be learned from big data? In this paper I argue that we should not expect a “god’s eye view” on choice versus circumstances from big data. “Responsibility” is a social construct that depends on the logic of different social situations, as well as our epistemic access to certain counterfactuals (e.g., whether an agent “could have acted differently”). It is this epistemic dimension that changes with the arrival of big data. But while this might help overcome some epistemic barriers, it might also create new problems, e.g., because of polluted and hence biased data. This is not just a theoretical problem; it is directly connected to the regulation of insurance. The new developments force us to directly confront questions about mutualist versus solidaristic forms of insurance, and more generally about how much weight to ascribe to individual responsibility, given all we know about unequal background circumstances.
Dietary salt concentrations influence growth, nutrient utilization, and fatty acid profiles of turbot (Scophthalmus maximus) reared in brackish water
Authors: Sevgili Hüseyin , Kurtoğlu Adem , Oikawa Masahiro , Pak Faruk , Aktaş Özgür , Sivri Firdevs Mert , Eroldoğan O. Tufan 
Published: August 2024

AbstractExpansion of economically viable turbot (Scophthalmus maximus) aquaculture depends on access to brackish-cold ground water sources in various parts of the world. Since brackish water sources can adversely affect the physiology and zoo technical performance of fish due to the burden of osmoregulation, dietary salt inclusion can alleviate the negative impacts of low-saline waters in several aquaculture species. This study investigated the effects of increasing dietary salt levels on the growth, feed utilization, body composition, and tissue fatty acid composition of juvenile turbot (initial live weight 120.3 ± 0.03 g/fish). Fish were fed five experimental diets supplemented with varying levels of sodium chloride (1.8–6.4%) or a control diet without salt. Each diet was tested in triplicate tanks for 9 weeks. Results showed that increasing dietary salt intake negatively impacted turbot performance, with significant reductions in weight gain, specific growth rate, and feed conversion ratio. Dry matter and ash content in the whole body and filet increased quadratically with increasing salt levels, whereas gill moisture and protein content decreased linearly. Furthermore, the nitrogen, lipid, and energy utilization efficiencies decreased with their respective intake and gain levels. Dietary salt significantly influenced the fatty acid profiles of gill, liver, and filet tissues. In the gill, monounsaturated fatty acids (16:1n-7, ΣMUFA) and n-6 PUFA (20:2n-6) increased, whereas EPA and DHA decreased. Liver ΣSFA (16:0, 18:0) increased, and n-3 PUFA (18:3n-3, 20:5n-3) decreased with increasing dietary salt. Filet saturated fatty acids (14:0, 15:0, 17:0) and n-6 PUFA (20:2n-6, 20:4n-6) increased, while n-3 PUFA (18:3n-3, EPA) decreased with dietary salt. DHA levels in filets showed a quadratic increase. Overall, this study shows that increasing dietary salt negatively impacts turbot growth, feed utilization, and tissue fatty acid composition in brackish water, highlighting the need for further studies on salinity management strategies for turbot aquaculture.
Strength-based strategies for addressing racial stressors in African American families: lessons learned from developing the LEADS health promotion intervention
Authors: Simmons Timothy , Quattlebaum Mary , Martin Pamela , Wilson Dawn K. 
Published: August 2024

AbstractRecognizing the real-life impact of racial stress on physical and psychological health is vital for creating impactful health promotion interventions among African American families. Despite the known link between racial stress and poor physical health outcomes, no existing intervention to date has targeted stress management strategies to buffer racial stress and build positive health behaviors among African American families. The current study outlines the lessons learned throughout the development of the Linking Exercise for Advancing Daily Stress (LEADS) Management and Resilience program, a 10-week family-based health promotion, stress management, and resilience intervention that aimed to improve physical activity, healthy eating, and well-being among African American adolescents and parents. We highlight the evolution of the LEADS intervention from a health promotion and stress management intervention to a culturally salient health promotion, stress management, and resilience intervention utilizing community-based participatory research strategies. This paper chronicles our systematic journey in making those changes and the lessons we learned along the way. We provide specific recommendations and implications for future health promotion interventions developed for African American families. Overall, we argue for a research orientation that respects cultural and racial contexts, embraces diversity within research teams and self-reflection, recognizes the heterogeneity among African American populations, and applies strength-based approaches.
Negative Affect, Sensation Seeking, and Adolescent Substance Use Development: The Moderating Role of Executive Function
Authors: Folker Ann , Peviani Kristin M. , Deater-Deckard Kirby , Bickel Warren K. , Steinberg Laurence , Casas Brooks , Kim-Spoon Jungmeen 
Published: August 2024

AbstractIt is unknown how the Addictions Neuroclinical Assessment markers—negative affect, sensation seeking, and executive function—contribute to substance use development. This study examined whether associations of negative affect and sensation seeking with substance use vary by executive function. Participants were 167 adolescents (47% female) who participated annually for four years (Mage = 14.07, SDage = 0.54 at Time 1). There were within-person bidirectional associations between higher negative affect and higher substance use for adolescents with lower executive function. Adolescents with higher sensation seeking at age 14 exhibited increasing substance use trajectories from age 14 to 17, regardless of executive function level. Negative affect and substance use influence each other within individuals, whereas sensation seeking predicts substance use between individuals.
Updating on the evidence of others
Authors: Pettigrew Richard , Weisberg Jonathan 
Published: August 2024

AbstractOne often learns the opinions of others without getting to hear the evidence behind them. How should you revise your own opinions in such cases? Dietrich (2010) shows that, for opinions about objective chance, the method known as upco effectively adds your interlocutor’s evidence to your own. We provide a simple way of viewing upco that makes properties like Dietrich’s easy to appreciate, and we do three things with it. First, we unify Dietrich’s motivation for upco with another motivation due to Easwaran et al. (2016). Second, we show that laypeople can sometimes use upco to resolve expert disagreements. And third, we use it to cricitize the social argument for the uniqueness thesis.
Asymptotics of reciprocal supernorm partition statistics
Authors: Lagarias Jeffrey C. , Sun Chenyang 
Published: August 2024

AbstractWe consider two multiplicative statistics on the set of integer partitions: the norm of a partition, which is the product of its parts, and the supernorm of a partition, which is the product of the prime numbers $$p_i$$

p
i

indexed by its parts i. We introduce and study new statistics that are sums of reciprocals of supernorms on three statistical ensembles of partitions, labelled by their size $$|\lambda |=n$$

|
λ
|
=
n

, their perimeter equaling n, and their largest part equaling n. We show that the cumulative statistics of the reciprocal supernorm for each of the three ensembles are asymptotic to $$e^{\gamma } \log n$$

e
γ

log
n

as $$n \rightarrow \infty $$

n
→
∞

.
Why and how to construct an epistemic justification of machine learning?
Authors: Spelda Petr , Stritecky Vit 
Published: August 2024

AbstractConsider a set of shuffled observations drawn from a fixed probability distribution over some instance domain. What enables learning of inductive generalizations which proceed from such a set of observations? The scenario is worthwhile because it epistemically characterizes most of machine learning. This kind of learning from observations is also inverse and ill-posed. What reduces the non-uniqueness of its result and, thus, its problematic epistemic justification, which stems from a one-to-many relation between the observations and many learnable generalizations? The paper argues that this role belongs to any complexity regularization which satisfies Norton’s Material Theory of Induction (MTI) by localizing the inductive risk to facts in the given domain. A prime example of the localization is the Lottery Ticket Hypothesis (LTH) about overparameterized neural networks. The explanation of MTI’s role in complexity regularization of neural networks is provided by analyzing the stability of Empirical Risk Minimization (ERM), an inductive rule that controls the learning process and leads to an inductive generalization on the given set of observations. In cases where ERM might become asymptotically unstable, making the justification of the generalization by uniform convergence unavailable, LTH and MTI can be used to define a local stability. A priori, overparameterized neural networks are such cases and the combination of LTH and MTI can block ERM’s trivialization caused by equalizing the strengths of its inductive support for risk minimization. We bring closer the investigation of generalization in artificial neural networks and the study of inductive inference and show the division of labor between MTI and the optimality justifications (developed by Gerhard Schurz) in machine learning.
Care Planning in Ageing Families during the COVID-19 Pandemic and Social Unrest in Hong Kong
Authors: Bai Xue , Luk Ka Wing , Harper Sarah 
Published: August 2024

AbstractThe role of care planning in addressing eldercare challenges has received increasing attention. However, the influence of the uncertainty triggered by the coronavirus disease 2019 (COVID-19) pandemic, in conjuction with significant social unrest, on family eldercare planning remains unclear. This study examines eldercare planning experiences of families in Hong Kong, focusing on the evolving changes and adaptations faced by both local residents and mainland Chinese immigrants during the COVID-19 pandemic and the 2019–2020 social unrest. Through purposive sampling, we conducted semi-structured interviews with 93 local residents and 66 migrants from 2020 to 2021. Five main themes emerged: (1) increased awareness of healthcare preparation and planning during the COVID-19 pandemic, (2) residential care homes as a suboptimal choice after the COVID-19 pandemic, (3) influence of the COVID-19 pandemic on financial planning for eldercare, (4) distant family care after the social unrest, and (5) the need to improve remote care under border restrictions. This study contributes to the literature by examining the intersection of crisis events and eldercare planning, viewing the family as a planning unit. It also deepens the understanding of caregiving within the context of health and social crises, providing valuable insights for the development of future support systems for older adults and their caregivers in similar circumstances.
Remnant cholesterol and the risk of diabetic nephropathy progression to end-stage kidney disease in patients with type 2 diabetes mellitus: a longitudinal cohort study
Authors: Zhao Yuancheng , Liu Ke , Zou Yutong , Wu Yucheng , Yang Jia , Xiao Xiang , Ju Xuegui , Yang Qin , Lang Yanlin , Liu Fang 
Published: August 2024

Abstract
Aim
Diabetic nephropathy (DN) is the most common cause of end-stage kidney disease (ESKD). Remnant cholesterol has been investigated as a predictor for the progression of DN in type 1 diabetes mellitus patients, as well as the incidence of DN in type 2 diabetes mellitus (T2DM) patients. This study aimed to evaluate the longitudinal relationship between baseline remnant cholesterol and kidney outcomes using a Chinese T2DM with biopsy-confirmed DN cohort.

Methods
We included 334 patients with T2DM and biopsy-confirmed DN during 2010–2019 West China Hospital T2DM-DN cohort. Remnant cholesterol was defined by Martin-Hopkins equation. Patients were divided into four groups based on the median (IQR) remnant cholesterol concentration at the time of renal biopsy. The kidney outcome was defined as ESKD, which was defined as the need for chronic kidney replacement therapy or estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m2. The relationship between remnant cholesterol and kidney outcome was analyzed using the Kaplan‒Meier method and Cox regression analysis.

Results
The mean age was 51.1 years, and 235 (70%) were men. During follow-up, a total of 121 (36.2%) patients reached ESKD. The Kaplan‒Meier analysis showed that patients in the highest quartile (quartile 4) group had lower cumulative renal survival (log-rank test, p = 0.033) and shorter median renal survival time [34.0 (26.4–41.6) vs. 55.0 (29.8–80.2) months] than patients in the lowest quartile (quartile 1) group. By univariate analysis, the high remnant cholesterol group was associated with a higher risk of progression to ESKD. Moreover, the risk of progression to ESKD in the highest quartile was still 2.857-fold (95% CI 1.305–6.257, p = 0.009) higher than that in the lowest quartile, and one-SD increase of remnant cholesterol was associated with a higher risk (HR = 1.424; 95% CI 1.075–1.886, p = 0.014) of progression to ESKD, after adjusted for confounding factors.

Conclusions
High remnant cholesterol is independently associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive marker of ESKD.

Clinical relevance
Calculated remnant cholesterol has the advantages of being economical and clinically accessible. Moreover, to our knowledge, there are no longitudinal cohort studies for investigating the risk of progression of T2DM-DN to ESKD. In our study, higher remnant cholesterol was associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive predictor of ESKD.
Identifying Potential Areas for New Railway Lines across Different Relief Roughness of Austrian Landscapes
Authors: Perauer Florian , Brezina Tadej , Edlinger Stefan 
Published: August 2024

AbstractThis work presents an operational model to identify potential areas for new railway lines in Austria, utilizing a topographic and passenger potential and considering the different inclination requirements for regional and main railway lines. By applying a GIS digital terrain model based on a 500 m squared reference system, we identified 61,497 cells suitable for new regional lines and 11,347 cells suitable for main railway lines. These cells show a variety of spatial potential classes. Out of Austria’s 83,883 km² total surface, all these identified cells sum up to an area of 15,374 km² for new regional lines and 2,837 km² for new main lines. We validate the identified cells with existing and abandoned railway alignments. The model shows a fit of 80%. Furthermore, we put the results into perspective by comparing individual cell potentials with their public transport quality levels of existing supplied services, and we apply a five-scenario sensitivity analysis to identify the impact of the model’s foundations. After debating the model’s particularities and their impact on planning procedures, we conclude that our model is more comprehensive than today’s strategic rail transport planning procedures, primarily based on political desires or selected expert suggestions.
Collaborative anthracology and cultural understandings of wood charcoal in Marra Country (northern Australia)
Authors: Walsh Matthew , Dotte-Sarout Emilie , Brady Liam M. , Bradley John , Ash Jeremy , Wesley Daryl , Evans Shaun , Barrett David 
Published: August 2024

AbstractThis paper presents results from the first collaborative anthracological (archaeological wood charcoal analysis) study in northern Australia’s southwest Gulf of Carpentaria region. The analysis focused on charcoal from a Late Holocene combustion feature and surrounding dispersed charcoal on a buried floor surface. The results suggest that the combustion feature likely functioned as a ground oven associated with a potential specific function, with the majority of fuel wood coming from wakuwaku/marnunggurrun (Callitris columellaris or White Cypress Pine) and Myrtaceae species. These species are found in low woodlands associated with hilly and freshwater springs settings, and their abundance and dispersal are influenced by fire regimes (e.g., Aboriginal fire regimes). Information provided by members of the Marra Aboriginal community about our findings focused on the social and cultural significance of wakuwaku/marnunggurrun, with particular emphasis around its role in past and present wood collection strategies (fire-making and transport, high value timber etc.). By exploring how anthracology and cultural knowledge intersect to generate new understandings about the relational qualities of wood (charcoal), we aim to highlight how collaborative archaeobotany can help reorient research questions in the discipline, providing an opportunity to make such specialised analyses meaningful to communities.
Power overwhelming: the one with the oscilloscopes
Authors: Gralka Patrick , Müller Christoph , Heinemann Moritz , Reina Guido , Weiskopf Daniel , Ertl Thomas 
Published: August 2024

AbstractVisualization as a discipline has to investigate its practical implications in a world steadily moving toward greener computing methods. Quantifying the power consumption of visualization algorithms is thus essential, given the ever-increasing energy needs of GPUs. Previous approaches rely on integrated sensors or invasive methods that require modifications and special test setups. However, they still suffer from imprecision from low sampling rates and integration over time. Using a high-precision, high-frequency setup via steerable oscilloscopes, we can objectively measure the resulting quality of previous approaches. This is essential to establish a ground truth, pave the way for improved modeling of power consumption in general, and enable better estimates based on the output of lower-quality sensors. We finally discuss benefits that can be drawn from the additional insight of the higher-precision setup and which additional use cases can justify the incurred costs.
Graphical abstract
Selection of track form in railway tunnel from a life cycle analysis perspective
Authors: Prokopov Andrej , Olsson Birgitta Aava , Famurewa Stephen Mayowa , Rantatalo Matti 
Published: August 2024

AbstractThe use of greenhouse gas (GHG) emissions as a criterion for decision-making within the rail industry is increasing. The demand for considering this criterion affects the type of decision models acceptable by railway infrastructure managers in the planning, construction, and maintenance of railway assets. The total amount of GHG emitted from a track solution in tunnels during its service life depends on the track form (i.e., ballasted track or ballastless track), the type of construction, maintenance machines used, current traffic profile, and tunnel length. However, the development in the design of ballastless track systems during recent decades to make them environmentally friendly motivates infrastructure managers to rethink and consider the use of the system. This study examines the effect of several design and maintenance factors not adequately addressed in previous research. These factors are (i) the modulus of elasticity of track support affecting the design of track forms, (ii) differences in maintenance and renewal required for track forms in the corresponding line condition, and (iii) recent developments in optimizing the environmental impact of ballastless tracks. The GHG emissions, represented by life cycle carbon dioxide equivalent (CO2e) emissions, are calculated using the climate impact software developed by the Swedish Transport Administration Trafikverket. The result is compared with the estimated emission from the conventional ballasted tracks. The method proposed in this paper is applied in a case study to study the effect of applying the optimized ballastless track system Rheda 2000® in a railway tunnel (the Hallsberg-Stenkumla tunnel) as part of a new line project in Sweden. The model applied in the study is an integral part of an integrated decision support system for effectively selecting track solutions from a lifecycle perspective. The study´s findings are: (i) the life cycle CO2 equivalent emissions by a ballastless track during its life cycle are 10% lower than that of the ballasted track, (ii) the primary total emission driver for both track form solutions is the emissions generated at the manufacturing of rails. (iii) the second important emission factor for the ballasted track solution is the emission from the renewal of the track form during its life cycle, and (iv) the second important emission factor for the ballastless track solution is concrete manufacturing.