bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of aquatic animal disease information on consumer evaluation of the origin of juvenile shrimp for aquaculture
Authors: Karakawa Nanae , Sakai Yutaro , Yoshinaga Tomoyoshi 
Published: November 2024

AbstractThe invasion and spread of aquatic animal diseases from abroad reduces fisheries and aquaculture production and causes food security issues. If infection spreads to natural populations, it can also cause environmental issues. One measure to reduce such risks is the use of domestic seeds for aquaculture. This study aims to identify consumer preferences for domestic aquaculture seeds (juvenile shrimp) and how these preferences vary depending on what information is provided and on consumer sociodemographic characteristics. A discrete choice experiment was used in this study, and the results showed the following: (1) on average, environmental and food security information had no effect; (2) consumers responded more to the information the older they were, but this tended to weaken when they received both environmental and food security information; and (3) men and women responded contrastingly to food security information. Therefore, when providing consumers with information on aquatic animal diseases, it is necessary to consider the content and volume of the information depending on the gender and age of the target consumer group.
Prioritization of the Sustainable Development Goals in the sustainability transition process of sport organizations: national strategies and sport managers’ perspectives
Authors: Strittmatter Anna-Maria , Horbel Chris , Traberg Josephine , Strömberg Julius Z. , Bodemar Annika , Grønkjær Allan B. , Hanstad Dag Vidar 
Published: November 2024

Abstract
This study explores the relevance, and applicability, of the Sustainable Development Goals (SDGs) in relation to Norwegian sport organizations’ sustainability transition. The following research questions guided the study: (1) How do National Sport Governing Bodies (NGBs) strategically address and prioritize SDGs and why? (2) How does the strategic prioritization of SDGs align with sport managers’ perspectives? (3) What does their prioritization of SDGs imply about the progress of sustainability transition within the Norwegian sports sector? The qualitative study is based on three interviews with directors in NGBs, document analysis of 11 strategy documents by six NGBs’ and essays produced by 82 sport managers representing the respective NGBs. Data analysis was informed by neo-institutional theory and the waves of sustainability transition framework. In our sample, spanning a diverse range of sports, we observed that 10 different SDGs are seen as relevant for NGBs from a strategy perspective, while sport managers prioritized eight. There is a strong alignment between national strategies and sport managers’ perspectives which is explainable through coercive, mimetic and normative pressures within the organizational field of sports. This further demonstrates that SDG prioritization is linked to the sport political context. While the alignment of prioritization from different perspectives provides a solid foundation for advancing sustainability work, the missing link between the SDGs and organizational goals with concrete suggestions for measures witnesses that Norwegian sport organizations are still in the infancy of sustainable transition.
Rapid dynamic load estimation procedure for lifting propellers in forward flight
Authors: Möhren Felix , Bergmann Ole , Janser Frank , Braun Carsten , Schröder Kai-Uwe 
Published: November 2024

AbstractLifting propellers operate at oblique inflow and thus encounter severe dynamic loads during forward flight, impacting structural integrity, fatigue, and vibration. Numerical optimization approaches consider aerodynamic, structural mechanical, and aeroacoustic aspects within preliminary design. To also account for dynamic loads during forward flight, a novel procedure allows their rapid estimation. Based on steady-state simulations combining strip theory and finite beam elements, aerodynamic excitation, damping, and stiffness are defined in the frequency domain. Loads are derived through a linear inflow model and quasi-steady aerodynamics. Damping and stiffness loads are linearized and transferred into matrix form to calculate the frequency response. The computationally expensive need for simulations in the time domain is thus avoided. Applicability extends to both fixed and variable pitch lifting propellers utilized in large multicopters for cargo or passenger transportation. Comparisons to time-marching simulations show good agreement with deviations of approximately 10 %. The analytical derivation yields physical insights to understand and reduce dynamic loads and their magnification due to resonance.
A Comparative, Individual Values-Based Scoring Approach to the Secure Flourish Index Among Clinical Health Professions Students
Authors: Neary Stephanie , Doolittle Benjamin , Mueller Martina , Nichols Michelle 
Published: November 2024

Abstract
Purpose
The purpose of this study was to investigate flourishing among medical (MD), physician assistant (PA), and nurse practitioner (NP) students, using the novel Secure Flourish Index (SFI).

Method
MD, PA, and NP students from two institutions completed the traditional SFI (tSFI), then applied a percentage weight to each of the six domains (maximum total 100%) based on perceived relative importance to their overall flourishing, creating a novel self-weighted SFI score (swSFI). The Bland–Altman (BA) plot was used to assess the magnitude of agreement between scores.

Results
The BA plot (n = 281) revealed a mean bias of .07(95% CI -.50,.63). Eighteen participants (6.4%) fell outside of the calculated BA limits of agreement [-9.31 [95% CI - 10.27,-8.45] and 9.45 [95% CI 8.49,10.41]]. Linear regression revealed the mean BA score is predictive of the mean difference between scores [R2 = 0.07, F(1,280) = 21.1, p < .001] indicating bias in agreement between the scoring systems as mean flourishing score changes.

Conclusion
Accounting for individual values is important when measuring student flourishing but is missing from current operant definitions. The overall mean difference (bias) in tSFI and swSFI scores is minimal (.07, possible range 0–120). However, the bias becomes larger as individual mean flourishing scores move towards both the high and low ends of the flourishing spectrum. This indicates that the influence of weighting flourishing domains is larger for individuals with high or low flourishing than those with moderate flourishing.
Navigating Uncharted Territory: A Qualitative Analysis of Challenges and Advantages Experienced by Early Career Medical Educators
Authors: Gundler Caroline M. , Allison Sara 
Published: November 2024

AbstractWith the growing demand for medical educators, it is increasingly important that institutions implement practices to recruit, retain, and promote the well-being of early career medical educators (ECMEs). However, the specific needs of this group remain somewhat unclear. The current study aimed to address this gap by utilizing qualitative analysis to identify challenges and advantages associated with ECME status. An anonymous, voluntary survey was administered on forums of professional societies for medical education and on social media platforms, and emailed to professional societies. The survey collected demographic information and qualitative data regarding ECMEs’ experiences. Data were collected from 39 participants who met the ECME criteria of having less than or equal to 10 years of teaching experience since obtaining a terminal degree. Thematic analysis revealed that the challenges of early career faculty were difficulty balancing responsibilities, lack of research and educational support, perceived inadequacies as a faculty member, and development of workplace friendships. The advantages were the ability to understand students, possessing specific knowledge and skills, and the ability to innovate. ECME professional development needs focused on development of skills, networking, and support. In conclusion, ECMEs encounter similar struggles faced by all medical educators; however, they have the least amount of experience navigating the hurdles of academia. To aid ECMEs, institutions and departments can focus on the implementation of meaningful professional development opportunities, support systems, and encouraging ECMEs’ strengths.
Assessing the effectiveness of bio-based oil in rejuvenating aged asphalt: a comprehensive physical, rheological, chemical, and mechanical examination
Authors: Al-Saffar Zaid Hazim , Hasan Heja Ghazi Mohamed , Mohialdeen Omar K. , Dulaimi Anmar 
Published: November 2024

AbstractThe utilization of reclaimed asphalt pavement (RAP) in flexible pavement construction and rehabilitation has gained significant traction, driven by the need to conserve limited natural resources. This study explores the effectiveness of bio-based oils derived from harvested crops as rejuvenators in asphalt mixtures containing 50% RAP. Comprehensive assessments were conducted, including penetration, softening point, viscosity and ductility tests, to determine the optimal rejuvenator dosage. Additionally, evaluations of rolling thin film oven (RTFO) aging, retained penetration and ductility, equivalent softening and breaking points, plasticity temperature range, stiffness modulus, complex modulus, and phase angle were performed. Fourier-transform infrared (FTIR) spectroscopy, Marshall immersion, and moisture susceptibility tests further validated the rejuvenator's efficacy in improving asphalt properties. The incorporation of 1.8% bio-oil significantly reduced the viscosity of the mixtures, enhancing workability. The rejuvenator effectively compensated for the loss of light components in aged binders, restoring the maximum and minimum temperature performance to levels comparable to virgin asphalt (VA). Mechanical testing revealed that bio-oil mitigated the aging effects of RAP asphalt, and the rejuvenated mixtures showed considerable improvements over both VA and non-rejuvenated RAP mixtures, where the rejuvenated specimens achieved 90.8 and 89.4% of retained strength index (RSI) values for 24- and 48-h immersion periods, respectively comparing with 88.9 and 86% post-immersion of VA for similar durations. These findings underscore the potential of bio-oil as a sustainable and eco-friendly solution for rejuvenating aged asphalts, paving the way for more sustainable asphalt production practices.
Do Human Reinforcement Learning Models Account for Key Experimental Choice Patterns in the Iowa Gambling Task?
Authors: Janbesaraei Sherwin Nedaei , Rasanan Amir Hosein Hadian , Nejati Vahid , Rad Jamal Amani 
Published: November 2024

AbstractThe Iowa gambling task (IGT) is widely used to study risky decision-making and learning from rewards and punishments. Although numerous cognitive models have been developed using reinforcement learning frameworks to investigate the processes underlying the IGT, no single model has consistently been identified as superior, largely due to the overlooked importance of model flexibility in capturing choice patterns. This study examines whether human reinforcement learning models adequately capture key experimental choice patterns observed in IGT data. Using simulation and parameter space partitioning (PSP) methods, we explored the parameter space of two recently introduced models—Outcome-Representation Learning and Value plus Sequential Exploration—alongside four traditional models. PSP, a global analysis method, investigates what patterns are relevant to the parameters’ spaces of a model, thereby providing insights into model flexibility. The PSP study revealed varying potentials among candidate models to generate relevant choice patterns in IGT, suggesting that model selection may be dependent on the specific choice patterns present in a given dataset. We investigated central choice patterns and fitted all models by analyzing a comprehensive data pool (N = 1428) comprising 45 behavioral datasets from both healthy and clinical populations. Applying Akaike and Bayesian information criteria, we found that the Value plus Sequential Exploration model outperformed others due to its balanced potential to generate all experimentally observed choice patterns. These findings suggested that the search for a suitable IGT model may have reached its conclusion, emphasizing the importance of aligning a model’s parameter space with experimentally observed choice patterns for achieving high accuracy in cognitive modeling.
The effect of geotechnical soil properties on cbr value: review
Authors: Pule Botlhe B. , Yendaw Jerome A. 
Published: November 2024

AbstractThis review paper summarizes the current state of research on relationships between geotechnical soil’s properties and the California Bearing Ratio (CBR) value. Geotechnical elements are pivotal in preventing civil engineering projects from collapses and settlement failures, so understanding detailed soil properties is an important task. CBR tests are used to assess the stiffness modulus and shear strength and guide the overlaying layer’s thickness in pavement designs. Despite such tests’ high expense and complexity, researchers have explored correlations and machine learning for CBR prediction from soil properties. This paper would delve into the varying influence of such properties as compaction properties (OMC and MDD) and index properties (LL, PL, and PI). By measuring the relevance of these properties to CBR, this paper examines their significance and potential interactions. In sum, this review sheds light on soil properties’ multifaceted effects on CBR value and provides support for informed pavement engineering decisions.
Optimizing Organic Rankine Cycle (ORC) configurations integrated with transient industrial waste heat: a multi-objective approach
Authors: Engineer Yohan , Rezk Ahmed , Elsheniti Mahmoud B. , Baniasadi Ehsan , Fouly Ahmed 
Published: November 2024

AbstractDecarbonizing heat-intensive industries by reusing the waste heat for power or combined heat and power systems is becoming increasingly important to address global warming. The Organic Rankine Cycle has shown a high level of feasibility and performed efficiently for utilizing medium-to-low-grade heat from renewable resources and heat-intensive industries for direct power generation. This study contributes to the field by conducting a techno-economic investigation of various Organic Rankine Cycle configurations to enhance energy conversion when real-life transient waste heat sources are available. These configurations were optimized to maximize energy output along with economic benefits. The non-linear programming by quadratic Lagrangian, a computational unintensive yet accurate optimization algorithm, was utilized for the multi-objective optimization. The optimized cycle configurations showed a 12.57% enhancement of turbine efficiency. Combining regeneration and recuperation enhanced the superheating by 32%, and the optimized air preheater cycle improved the overall objective by 64.2% compared to the pre-optimized conventional cycle, leading to a feasible 1.72-year payback period.
Examining pay–performance links: The role of capital owning and self-interest among board members in the high-tech industry
Authors: Mousa Fariss-Terry , Simha Aditya , Chowdhury Jaideep , Sahaym Arvin 
Published: November 2024

Abstract
Board of directors (BOD) bring valuable human and relational capital to firms but may act as self-interested agents by design. The purpose of this study is to investigate how the compensation of BOD members in high-technology sectors affects overall firm performance. We tested our specific hypotheses using panel regression methodology on data gathered from the CRSP, Compustat, BoardEx, and ExecuComp databases. Our final sample consisted of 9,127 firm years, and the companies in our sample were all high-tech publicly traded U.S. firms from 1992 to 2019. Our results showed that there is an association between BOD’s pay structure and firm performance (accounting-based return on assets and market-based Tobin’s Q). Our findings demonstrate originality and contribute to the literature since we empirically demonstrate that the level of variable BOD pay has a diminishing effect on return on assets and Tobin’s Q. This study advances our knowledge of executive compensation in the high technology sector.
Ultrastructural evidence shows adaptation to a pelagic lifestyle in Ordovician caryocaridids (Crustacea: phyllocarida)
Authors: Liu Yilong , Fan Ruo-ying , Du Xiaoqi , Ma Juan , Yin Jiayi , Zong Rui-wen , Gong Yi-ming 
Published: November 2024

AbstractCaryocaridids are a unique representative of pelagic arthropods from the Ordovician period. They are typically found as flattened carapaces in mudstones and shales. This study reports on a species of caryocaridids, Soomicaris cedarbergensis, discovered in the Lower Ordovician of northwestern Xinjiang, NW China. The species shows the rare enrolled carapaces with a preserved cuticular ultrastructure. These specimens of caryocaridids from Xinjiang are the first reported in the Yili Block, and provide the substantial evidence that the paleogeographic distribution of caryocaridid phyllocarids could extend to the Central Asian Orogenic Belt. This species existed from the late Tremadocian until the end of the Ordovician (Hirnantian), making it the longest-ranging known species of caryocaridids. The carapace cuticle of S. cedarbergensis is composed of carbonate-fluorapatite and can be divided into three mineralized lamellae: outer, middle, and inner. The outer and inner lamellae each consist of three layers that correspond to the epicuticle, exocuticle, and endocuticle of extant crustacean carapaces. Moreover, the polygonal reticulation structure of the carapace in archaeostracans appears to be similar in shape and size to the hemolymph sinuses of leptostracans. This unique ultrastructure of the carapace cuticle in caryocaridids is believed to be better suited for a pelagic lifestyle.
Genetic variants in folate metabolism-related genes, serum folate and hepatocellular carcinoma survival: the Guangdong Liver Cancer Cohort study
Authors: Li Yunshan , Shu Jing , Tan Peishan , Dong Xiaocong , Zhang Mingjie , He Tongtong , Yang Zhijun , Zhang Xuehong , Giovannucci Edward L. , Liu Zhaoyan , Zhou Zhongguo , Li Qijiong , Xu Yanjun , Xu Xiaojun , Peng Tianyou , Lu Jialin , Zhang Yaojun , Zhu Huilian , Fang Aiping 
Published: November 2024

AbstractFolate metabolism is involved in the development and progression of various cancers. We investigated the association of single nucleotide polymorphisms (SNP) in folate-metabolising genes and their interactions with serum folate concentrations with overall survival (OS) and liver cancer-specific survival (LCSS) of newly diagnosed hepatocellular carcinoma (HCC) patients. We detected the genotypes of six SNP in three genes related to folate metabolism: methylenetetrahydrofolate reductase (MTHFR), 5-methyltetrahydrofolate-homocysteine methyltransferase reductase (MTRR) and 5-methyltetrahydrofolate-homocysteine methyltransferase (MTR). Cox proportional hazard models were used to calculate multivariable-adjusted hazard ratios (HR) and 95 % CI. This analysis included 970 HCC patients with genotypes of six SNP, and 864 of them had serum folate measurements. During a median follow-up of 722 d, 393 deaths occurred, with 360 attributed to HCC. In the fully-adjusted models, the MTRR rs1801394 polymorphism was significantly associated with OS in additive (per G allele: HR = 0·84, 95 % CI: 0·71, 0·99), co-dominant (AG v. AA: HR = 0·77; 95 % CI: 0·62, 0·96) and dominant (AG + GG v. AA: HR = 0·78; 95 % CI: 0·63, 0·96) models. Carrying increasing numbers of protective alleles was linked to better LCSS (HR10–12 v. 2–6 = 0·70; 95 % CI: 0·49, 1·00) and OS (HR10–12 v. 2–6 = 0·67; 95 % CI: 0·47, 0·95). Furthermore, we observed significant interactions on both multiplicative and additive scales between serum folate levels and MTRR rs1801394 polymorphism. Carrying the variant G allele of the MTRR rs1801394 is associated with better HCC prognosis and may enhance the favourable association between higher serum folate levels and improved survival among HCC patients.
Transcriptomic analysis reveals that prolactin modulates the β-casein synthesis mechanism in bovine mammary epithelial cells
Authors: Zhang Yanying , Xu Ziru , Wang Xiaoxue , Hou Xiaoming , Yang Yang , Liu Ying , Lin Ye 
Published: November 2024

AbstractThis research communication screened and identified differentiated expressed genes in bovine mammary epithelial cells (BMECs) upon prolactin (PRL) stimulation. PRL of 5 μg/ml increased β-casein synthesis in BMECs with milk protein synthesis capacity. RNA sequencing (RNA-seq) was used to screen differentially expressed genes (DEGs). A total of 375 DEGs (165 up-regulated and 210 down-regulated) were identified between PRL-stimulated group and the control group. Gene ontology enrichment analysis showed that the up-regulated genes were primarily associated with cell functions, metabolic processes, and biological regulatory processes. Pathway enrichment analysis showed that the up-regulated genes were mainly enriched in JAK-STAT, Rap1, Ras and Notch signaling pathways, which are widely involved in cell proliferation, differentiation and milk component synthesis. This study provides an initial understanding of the changes in gene expression in BMECs with PRL-stimulation, as determined by RNA-seq transcriptomic analysis, thereby enhancing our knowledge of the molecular regulation of lactation metabolism.
Predicting the distribution of Ixodes ricinus in Europe: integrating microclimatic factors into ecological niche models
Authors: Kuyucu Arda Cem , Hekimoglu Olcay 
Published: November 2024

AbstractIxodes ricinus, commonly known as the castor bean tick and sheep tick, is a significant vector of various diseases, such as tick-borne encephalitis and Lyme borreliosis. Owing to climate change, the distribution and activity of I. ricinus are expected to increase, leading to an increase in the number of diseases transmitted by this species. Most distribution models and ecological niche models utilize macroclimate datasets such as WorldClim or CHELSA to map the distribution of disease-transmitting ticks. However, microclimatic factors are crucial for the activity and survival of small arthropods. In this study, an ecological niche modelling approach was used to assess the climatic suitability of I. ricinus using both microclimatic and macroclimatic parameters. A Mixed model was built by combining parameters from the Soiltemp (microclimate) and Wordclim (macroclimate) databases, whereas a Macroclimate model was built with the CHELSA dataset. Additionally, future suitabilities were projected via the macroclimate model under the SSP3-7.0 and SSP5-8.5 scenarios. Macroclimate and Mixed models showed similar distributions, confirming the current distribution of I. ricinus. The most important climatic factors were seasonality, annual temperature range, humidity and precipitation. Future projections suggest significant expansion in northern and eastern Europe, with notable declines in southern Europe.