bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple social factors are associated with wellbeing when accounting for shared genetic and environmental confounding
Authors: Bjørndal Ludvig Daae , Nes Ragnhild Bang , Ayorech Ziada , Vassend Olav , Røysamb Espen 
Published: November 2024

Abstract

Purpose
Social factors are associated with mental health and wellbeing. However, few studies have examined genetic and environmental influences on social factors themselves, limiting current understanding of influences on aspects of the social environment. Most studies which have identified links between social factors and mental health are also limited by the possible influence of unmeasured genetic and environmental confounding. In this study, we investigated the genetic and environmental underpinnings of multiple social factors (relationship satisfaction, loneliness, attachment, trust, relationship disruptions), and their associations with life satisfaction measured concurrently and six years later, after accounting for shared genetic and environmental confounding.

Methods
Data from a population-based sample of adult twins (N = 1987) and two measurement timepoints were used for the primary analyses. We used multivariate Cholesky models to estimate genetic and environmental influences across five social factors. Subsequently, we conducted co-twin control analyses to examine associations between social factors and wellbeing after controlling for shared genetic and environmental confounding.

Results
Heritability estimates for the social factors ranged from 24 to 42%. Genetic correlations across social factors were substantial, indicative of considerable genetic overlap. Associations between wellbeing and relationship satisfaction, loneliness, anxious and avoidant attachment, trust, and disruptions in relationships in the past year were attenuated in co-twin control analyses but remained statistically significant. Relationship satisfaction, loneliness, and attachment avoidance were also associated with wellbeing measured six years later in estimates which controlled for shared genetic and environmental confounding.

Conclusion
Our findings provide evidence that multiple social factors are associated with wellbeing after accounting for potential confounding by shared genetic and/or environmental factors. These findings highlight the importance of multiple aspects of the social environment for wellbeing in older adulthood. Future studies should examine the directionality in associations between social factors and mental health and assess these relationships beyond older adulthood.
EQ-5D-5L value set for Norway: a hybrid model using cTTO and DCE data
Authors: Garratt Andrew M. , Stavem Knut , Shaw James W. , Rand Kim 
Published: November 2024

Abstract

Purpose
To develop the Norwegian value set for the EQ-5D-5L based on interviews with a representative sample of the Norwegian adult population.

Methods
Random and quota sampling were used to recruit the sample of adults (age> 18 years) representative of the Norwegian general population. Data collection followed EQ-VT 2.1 undertaken before and after the COVID-19 pandemic from November 2019 to December 2022, using PC-assisted and video conferencing interviews, respectively. Each respondent valued 10 health states using composite time trade-off (cTTO) and 7 health states using a discrete choice experiment (DCE). Different statistical models were assessed for logical consistency and predictive accuracy using cTTO and DCE data alone or in combination as hybrid models.

Results
Of the 1,321 respondents, 1,237 met inclusion criteria. All statistical models demonstrated logical consistency. The weighted hybrid model combining both cTTOand DCE data was preferred and had the highest predictive accuracy. Predicted values ranged from -0.453 to 1, and the dimension of anxiety/depression was the most highly valued by respondents, followed by pain/discomfort, self-care, mobility, and usual activities. These findings are not dissimilar to those for most Western European countries, and regression coefficients are closest to those for other Scandinavian countries.

Conclusion
This study provides the Norwegian value set for the EQ-5D-5L based on health state values obtained from members of the adult general population in Norway. This is an important contribution to economic evaluation and the broader application ofthe EQ-5D-5L in Norway including clinical and health services research, and quality measurement.
An empirical analysis of gender differences in asymmetric labor adjustment: evidence from Korea
Authors: Cho Meeok , Hyeon Jiwon , Lee Woo-Jong , Sunwoo Hee-Yeon 
Published: November 2024

AbstractThis paper documents the difference in asymmetric labor adjustment between male and female employees, as alluded to in the labor economics literature. Based on detailed gender-specific employment disclosures of Korean-listed firms, we report a significant presence of labor cost stickiness. Breaking labor costs down, we further show that labor cost stickiness is mainly attributable to the asymmetric adjustment of employment rather than that of wages. More importantly, this adjustment is more salient for males than it is for females, suggesting that managers tend to dismiss females to a greater extent than males during sales downturns than they recruit during sales upturns. In cross-sectional analyses, we present evidence that formal and informal institutions underlie the asymmetric labor adjustment. Lastly, gender differences in asymmetric labor adjustment widen the tenure gap across gender, which may contribute to the low likelihood of firms appointing and promoting female executives.
The Concept of Weight as Reflecting the Epistemological Changes in Physics
Authors: Galili Igal 
Published: November 2024

AbstractThe goal of this study was to elicit and juxtapose the account of the concept of weight in history vis a vis physics education. The results reveal the problem of consistency in the currently employed teaching materials. The weight concept is very old and remains ubiquitous in science. Its history reflects the maturation of scientific methodology. The latter implied three periods of its development: old, classical, and modern. The “old” weight designated heaviness, or gravity, of bodies and the quantity of matter, both measured through weighing by balance. The “old” weight served as the basis for trade and technology. “Old” weight split in the scientific revolution of the seventeenth century into mass and gravitational force that explained the weight of massive objects—weight was identified with gravitational force. The third period followed the scientific revolution of the twentieth century. Classical Mechanics adopted the equivalence principle and included the accelerated observers. This implied redefinition of weight by the operational definition as the result of weighing. Thus, weight was distinguished from the gravitational force. All three periods reflect the change of physics methodology. In education, physics textbooks are currently divided between the contradictory accounts of the second and third periods of weight history. The weight concept is often confused by students who show numerous related misconceptions. Facing this complexity, we argue for using weight teaching as a tool for promoting the modern perspective of knowledge construction in physics, its epistemology, that is, revealing the nature of science, the need for a reliable operational definition alongside a theoretical one, to the students. The teaching in accordance with the discipline-culture paradigm emphasizes the discursive nature of science, reveals the conceptual dialogue, and suggests its presentation in science/physics classes.
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning
Authors: Alobaid Khalid A. , Wang Jason T. L. , Wang Haimin , Jing Ju , Abduallah Yasser , Wang Zhenduo , Farooki Hameedullah , Cavus Huseyin , Yurchyshyn Vasyl 
Published: November 2024

AbstractThe application of machine learning to the study of coronal mass ejections (CMEs) and their impacts on Earth has seen significant growth recently. Understanding and forecasting CME geoeffectiveness are crucial for protecting infrastructure in space and ensuring the resilience of technological systems on Earth. Here we present GeoCME, a deep-learning framework designed to predict, deterministically or probabilistically, whether a CME event that arrives at Earth will cause a geomagnetic storm. A geomagnetic storm is defined as a disturbance of the Earth’s magnetosphere during which the minimum Dst index value is less than −50 nT. GeoCME is trained on observations from the instruments including LASCO C2, EIT, and MDI on board the Solar and Heliospheric Observatory (SOHO), focusing on a dataset that includes 136 halo/partial halo CMEs in Solar Cycle 23. Using ensemble and transfer learning techniques, GeoCME is capable of extracting features hidden in the SOHO observations and making predictions based on the learned features. Our experimental results demonstrate the good performance of GeoCME, achieving a Matthew’s correlation coefficient of 0.807 and a true skill statistics score of 0.714 when the tool is used as a deterministic prediction model. When the tool is used as a probabilistic forecasting model, it achieves a Brier score of 0.094 and a Brier skill score of 0.493. These results are promising, showing that the proposed GeoCME can help enhance our understanding of CME-triggered solar-terrestrial interactions.
Is Mandatory Community Service a Catalyst for Civic Growth or Fruitless Servitude?: Evidence from a Natural Experiment in South Korea
Authors: Lee Hwiyoung P. , Cnaan Ram A. 
Published: November 2024

AbstractDiminishing civic vitality has been reported in numerous societies, irrespective of democratic maturity. Mandatory community service initiatives in schools have garnered attention as a strategy for fostering long-term civic engagement. However, methodological challenges such as selection bias and observation timing have led to inconsistent empirical results. This study leverages a unique natural experimental context where mandatory community service requirements were nationally implemented in middle and high schools in South Korea. Employing a non-parametric regression-discontinuity design, we provide robust evidence that such programs increase the likelihood of volunteering in adulthood among lower socioeconomic groups. We found no indications that these mandates increase or decrease the propensity for civic engagement among higher socioeconomic groups.
Source, transport, and fate of nitrate in shallow groundwater in the eastern Niger Delta
Authors: Aleku Dogo Lawrence , Dähnke Kirstin , Pichler Thomas 
Published: November 2024

AbstractThe eastern Niger Delta region in Nigeria is a hotspot for reactive nitrogen pollution due to extensive animal husbandry, pit latrine usage, and agricultural practices. Despite the high level of human activity, the sources and processes affecting nitrogen in groundwater remain understudied. Groundwater nitrate (NO3−) concentrations are highly variable, with some areas recording values well above the safe drinking water threshold of 50 mg/L. This is particularly true near municipal sewage systems. Elevated nitrite (NO2−) and ammonium (NH4+) concentrations were also detected in the study area. Sewage analysis revealed NO3− concentrations ranging from 1 to 145 mg/L, NO2− from 0.2 to 2 mg/L, and notably high NH4+ concentrations. A comparison of major ions indicated that 71%, 90%, 87%, and 92% of groundwater samples surpassed reference site levels for calcium (Ca2+), sodium (Na+), potassium (K+), and chloride (Cl−), respectively, pointing to sewage as a likely source of contamination. The NO3−/Cl− ratios at several sites suggested that most groundwater NO3− originates from human waste. Stable isotope analysis of NO3− showed a general enrichment in 15N and, in some cases, a depletion in 18O, indicating that the NO3− originates from sewage-derived NH4+ nitrification. Although denitrification, a process that reduces NO3−, is present, the high dissolved oxygen (DO) and NO3− levels in the groundwater suggest that denitrification is insufficient to fully mitigate NO3− pollution. Consequently, there is a risk of NO3− leaching from shallow aquifers into the Niger Delta’s surface waters and ultimately into the coastal ocean.
Subsurface Weave Pattern Influences on Polymer Cold Spray Deposits onto Woven Fiber-Reinforced Composites
Authors: Kaminskyj Madison , Mennie Nicholas , Singh Nand , Koohbor Behrad , Haas Francis M. 
Published: November 2024

AbstractThe polymer cold spray (CS) process has recently been demonstrated as a promising coating and repair technique for fiber-reinforced polymer composites (FRPs). However, a noticeable variation in coating thickness (herein referred to as checkerboard pattern) often occurs in the initial pass of low-pressure CS deposition. The checkerboard pattern occurs due to the periodic variations in matrix thickness and volume above the subsurface fiber weave pattern. When the initial pass exhibits the so-called checkerboard pattern, the CS deposition for subsequent passes may be negatively affected in terms of deposition efficiency, porosity, adhesion, surface roughness, and thickness consistency. The present work compares results of both numerical simulations and experimental studies performed to reveal the governing mechanisms for and elimination of checkerboarding. Single particle impact numerical simulations are conducted to observe thermomechanical behavior of particles during CS impact on the FRP surface at different regions of the composite material. Complementary experimental CS studies of exemplar powders onto FRPs with various surface interlayer thicknesses are also presented and discussed. Experimental analyses of deposits include microstructural observations to compare against the simulations while also providing practical strategies for the elimination of checkerboarding effects. It is demonstrated that the thickness and volume of the matrix region underneath the impact area are the main contributing factors that govern the CS deposition variations on CFRP substrates. As such, increasing the surface epoxy layer thickness beyond a critical value can reduce the effect of substrate stiffness effects imposed by the subsurface fiber tows, thereby effectively eliminating the checkerboard patterns.
Statistical properties of partially observed integrated functional depths
Authors: Elías Antonio , Nagy Stanislav 
Published: November 2024

Abstract
Integrated functional depths (IFDs) present a versatile toolbox of methods introducing notions of ordering, quantiles, and rankings into a functional data analysis context. They provide fundamental tools for nonparametric inference of infinite-dimensional data. Recently, the literature has extended IFDs to address the challenges posed by partial observability of functional data, commonly encountered in practice. That resulted in the development of partially observed integrated functional depths (POIFDs). POIFDs have demonstrated good empirical results in simulated experiments and real problems. However, there are still no theoretical results in line with the state of the art of IFDs. This article addresses this gap by providing theoretical support for POIFDs, including (i) uniform consistency of their sample versions, (ii) weak continuity with respect to the underlying probability measure, and (iii) uniform consistency for discretely observed functional data. Finally, we present a sensitivity analysis that evaluates how our theoretical results are affected by violations of the main assumptions.
The Effect of COVID-19 on the Quality of Employment in Colombia
Authors: Mora Jhon James , Arranz José María 
Published: November 2024

AbstractThis article analyses the effect of COVID-19 on the quality of employment in Colombia. Based on the construction of two job quality indexes, we estimate a pseudo-panel-ordered probit model correcting for measurement errors and the endogeneity of education. Depending on the job quality index, our results show that the probability of having a low-quality job increases between 1.6 and 27.8 percent points (p.p). In contrast, the probability of having a high-quality job decreases by 8.3 and 21.4 p.p. due to COVID-19. Also, people with higher levels of education are more likely to have high-quality jobs in Colombia; being a Venezuelan immigrant reduces the probability of having quality jobs, and being a woman has different effects depending on the index.
Role of Social Cash Transfers Among Children in Child-Headed Households: A Case of Jacha Area of Epworth in Harare, Zimbabwe, in the Face of Austerity Era
Authors: Chikoko Witness , Mavuka Anotida 
Published: November 2024

AbstractCash transfers are some of the social protection systems for reducing risks and vulnerabilities among children in child-headed families. There are limited academic studies that interrogate the role of social cash transfers among children in child-headed households (CHHs) in the Jacha area of Epworth, Harare, Zimbabwe, in the face of austerity era. A qualitative case study design was adopted to have an in-depth and detailed understanding of the lives of children in CHHs. The resilience theory was used to understand and analyse the realities of these children. Research findings suggest that social cash transfer programmes are very crucial in upholding the human rights of the children in child-headed households of the Jacha area in Epworth, Harare. As a result of social cash transfer programmes, some children in child-headed households enhanced their resilience in many ways. Some of them were rescued from the incidences of abuse, violence, and exploitation through cash transfers. The children in child-headed households were able to meet their basic needs such as food, education, health, clothes, having time for playing, and peer interactions. The article concludes by lobbying and advocating for more social protection programmes towards children in child-headed households in urban informal settlements of Epworth, Harare, Zimbabwe.
The (Other) Boundary Problem: Conceptualizing Membership of the Demos’ Two Bodies
Authors: Campos Andre Santos 
Published: November 2024

AbstractThis paper intersects the literature on the democratic boundary problem with the literature on the constructivist turn in political representation to show that the boundary problem broadly construed involves a distinction between ‘the problem of inclusion’ (into pre-existing demoi and their decision-making procedures) and ‘the problem of constituting the demos’ (which involves criteria for partaking in constituent power). This distinction is consistently neglected by democratic theorists. However, it has serious implications for representative democracies because the standard answers to the boundary problem – the all-affected-interests principle, the all-subjected principle, and the substantive-demos principle – do not apply to the problem of constituting the demos. A new principle aimed at the latter problem is here proposed: the constructivist-representative principle. In the end, it should be clear that ascertaining who should be entitled to participate in which democratic decision requires the adoption of different principles depending on the specific demos in question and on the type of decision-making procedure involved (e.g., constitution-making-or-changing, lawmaking, policymaking, etc.).
Analysis of the possibility of using exploration and learning algorithms in the production of castings
Authors: Bitka Adam , Witkowski Mateusz , Jaśkowiec Krzysztof , Małysza Marcin , Marcjan Łukasz , Wilk-Kołodziejczyk Dorota 
Published: November 2024

Abstract
The research presented in the article indicates the process of building models based on machine learning algorithms, linear regression, decision trees, ensemble learning, random forest, ensemble averaging, Boosting, stacking, and support vector regression (SVR) algorithms. The basis for building these models are experimental data collected during research conducted at the Łukasiewicz Research Network-Krakow Institute of Technology. An analysis of the initial state and the analysis of the state of correlation in the set were performed, which facilitated the development of models. To increase the amount of data, augmentation was performed using the Bootstrapping. For selected results, castings were made and tested in real conditions. The research results indicate the possibility of identifying the most appropriate input parameters for specific production processes of austempered ductile iron (ADI), the possibility of predicting the expected mechanical parameters based on the indicated parameters of the production process, chemical composition, specific parameters of the heat treatment process, and the thickness of the target product. A set of such models constitutes the basis of the system, enabling the end user to estimate the final parameters of the casting planned to be produced.
Factors governing Fe2+-catalyzed transformation of ferrihydrite associated with kaolinite under anoxic conditions
Authors: Wu Cong , Wang Shuai , Liao Wenjuan , Cui Hao-Jie 
Published: November 2024

Abstract
Fe2+-catalyzed transformation of poorly crystalline ferrihydrite into highly crystalline forms is critical in the biogeochemical cycles of Fe, nutrients, and trace elements. The co-existence of ferrihydrite and kaolinite is widespread in soils of tropical and subtropical regions. In this investigation, three associations of ferrihydrite–kaolinite with ratios of 10, 30, and 50% (10% Fhy–Kln, 30% Fhy–Kln, and 50% Fhy–Kln) were examined to study the impact of the initial Fe2+ concentration and pH on Fe2+-catalyzed transformation under anoxic conditions. The findings reveal that the ferrihydrite in the 10% Fhy–Kln associations has the smallest particle size and the largest number of surface hydroxyl groups. At 0.5 mM Fe2+ and pH 7.5, ferrihydrite underwent transformation into lepidocrocite, with the presence of kaolinite promoting the formation of goethite. Moreover, the presence of kaolinite influenced the morphology of the resulting transformation products. A decrease in pH hindered the transformation of ferrihydrite, while an increase in Fe2+ concentration resulted in the formation of magnetite. The impact of kaolinite in the association system on the transformations of ferrihydrite occurs primarily through alteration of the properties of ferrihydrite during its formation process.