bluuebunny/crossref_metadata_2025_split huggingface dataset:
Employment Quality: A Social Determinant of Health and Well-Being in a Changing Labor Market in Korea
Authors: Vanderleyden Julie , Seo Hyojin , Vanroelen Christophe , De Moortel Deborah 
Published: November 2024

Abstract
Against the background of increased labor market flexibilization, health issues amongst employees have become a pressing social concern in Korea. Yet, little is known about the diversity in employment experiences and the associated health implications amongst employees. To accurately gauge labor market segmentation, whilst simultaneously accounting for health-risk factors, we employ the multidimensional Employment Quality (EQ) concept in a typological manner. This method differentiates various employment segments, with the Standard Employment Relationship (SER) serving as a benchmark. Using the 2017 Korean Working Conditions Survey (KWCS), we employ Latent Class Cluster Analysis on a sample of the salaried workforce (N = 25.376) to construct a typology of EQ. Via logistic regression, we link the EQ typology to poor mental well-being and poor self-rated general health. As a result, we find six distinct types of EQ arrangements in Korea: SER-like, Instrumental, SER Intensive, Instrumental Intensive, Precarious Intensive, and Precarious Unsustainable. We find that deviations from the SER-like segment are associated with poorer health and well-being outcomes, even when accounting for confounding factors, with precarious EQ segments showing the most pronounced adverse health and well-being associations. This study furthers our understandings of health disparities within the salaried workforce. Our findings underscore the need for targeted reforms of workplace- and employment-related health policies to foster a healthier working population in Korea.
Truthmaker Semantics for Intuitionistic Modal Logic
Authors: Litland Jon Erling 
Published: November 2024

AbstractA truthmaker for a proposition P is exact if it contains nothing irrelevant to P. What are the exact truthmakers for necessitated propositions? This paper makes progress on this issue by showing how to extend Fine’s truthmaker semantics for intuitionistic logic to an exact truthmaker semantics for intuitionistic modal logic. The project is of interest also to the classical logician: while all distinctively classical theorems may be true, they differ from the intuitionistic ones in how they are made true. This sheds new light on the status of the T and B axioms.
How Planning Shared Infrastructure could Support Agriculture and Desalinated Irrigation
Authors: Zolghadr-Asli Babak , McIntyre Neil , Djordjevic Slobodan , Farmani Raziyeh , Pagliero Liliana 
Published: November 2024

Abstract
The high price of desalination is often considered one of the primary obstacles to making desalinated water a viable option for irrigated agriculture. Relatively little attention has been given to how strategic planning of regional water supplies might contribute to addressing this issue, particularly in leveraging investment in desalination by wealthier sectors to support agricultural communities. The Copiapó valley in Chile has been selected as a case study to investigate this. The study illustrates using modelling how the expansion of the mining and associated investment in desalination can reduce the economic and environmental costs of supplying desalinated water to irrigators. It was observed that the reduction of costs is affected by the degree of expansion in the mining sector, the degree of expansion in the irrigated agriculture sector, and the energy market. With potential expansions, if they invest strategically in creating an optimal water supply network, the marginal costs of producing desalinated water can be reduced to between 1.09 USD/m³ and 2.53 USD/m³ depending on the energy price. This represents a reduction of 58–3%, respectively, compared to the average cost of producing desalinated water under baseline conditions where irrigated desalination is not supported. Results show that foresightful integrated water planning, which accounts for planned expansion in water demand, can result in more realistic costs of irrigating with desalinated water - although subsidy remains a likely requirement. Such integrated water planning would help bridge the gap between the price of desalinated water for irrigation practices. Furthermore, as demonstrated in this study, these practices can minimize the environmental impact of establishing a water conveyance network.
A trust-region approach for computing Pareto fronts in multiobjective derivative-free optimization
Authors: Mohammadi Aboozar , Hajinezhad Davood , Garcia Alfredo 
Published: November 2024

Abstract
This paper presents a modified trust-region approach for computing approximations to the complete Pareto front of multiobjective derivative-free optimization problems. It is assumed that the derivatives of the objective function components are not available, impossible or very expensive to estimate, such as in simulation optimization, bandit optimization, and adversarial black-box machine learning. The algorithm alternates between two main steps, namely, the extreme point step and the scalarization step, until predefined stopping criteria are met. The goal of the extreme point step is to expand the approximation to the complete Pareto front, by moving towards the extreme points of it, corresponding to the individual minimization of each objective function component. The scalarization step attempts to minimize the size of gaps in the Pareto front approximation, by solving a suitable scalarization problem. The scalarization step includes a pivotal additional step, referred to as the middle point step. This step plays a significant role in determining initial points for solving the scalarization problem. To overcome the absence of derivatives, a new technique based on polynomial interpolation and minimum Frobenius norm approaches is proposed to build models that approximate different objective function components. The convergence analysis is well established, even with the extra complexity introduced by the challenge of lacking derivative information. Numerical results are presented, indicating that this algorithm is efficiently and robustly competitive against state-of-the-art multiobjective derivative-free optimization algorithms that also aim to approximate complete Pareto fronts.
Regularity and Compactness Properties of Integral Hankel Operators and Their Singular Vectors
Authors: Guiver Chris 
Published: November 2024

Abstract
Integral Hankel operators on vector-valued

$$L^2(\mathbb {R}_+,U)$$

L
2

(

R
+

,
U
)

-function spaces are considered. Regularity (integrability) and compactness properties of the kernel are shown to give rise to quantifiable regularity and compactness properties of the Hankel operator, and consequently of the associated singular vectors (also called Schmidt pairs), which finds relevance in model order reduction schemes. As demonstrated, strong- Lebesgue and Sobolev spaces naturally arise in the case that U is infinite dimensional. The theory is illustrated with examples.
‘Not only bad things happened in the COVID-19 lockdown’: Lived experience of individuals with eating disorders symptoms
Authors: González-Sánchez Cristina , Mendia Jara , Gómez-Odriozola Joana , Alonso-Arbiol Itziar , Conejero Susana , Pascual Aitziber 
Published: November 2024

AbstractThe high impact of COVID-19 pandemic on individuals’ well-being was especially detrimental to those suffering from an eating disorder (ED). The aim of the present study was to examine the perceived adverse and beneficial effects of lockdown on people with ED symptoms from a qualitative approach. The sample was made of 129 adults (Mage = 33.63; SDage = 10.95; 78.3% women) with symptoms compatible with ED according to DSM-5-TR. Participants completed an online survey containing two open-ended questions inquiring about their lived experience regarding perceived negative and positive effects of the pandemic quarantine. Data were analyzed based on a content analysis using Atlas.ti software. In terms of negative effects, the following topics emerged: increased anxiety and perceived stress, loneliness perception, worsening symptoms and thoughts associated with ED, increased attention to body image, and detection of worse eating habits. Among the positive effects, the key themes were the ED recognition, linked to the awareness of the need to start therapy, the reduction of binge eating episodes, an increased self-esteem, a sense of protection and well-being, and improved health and eating behavior. Social isolation and the possibility to cover up ED symptomatology were also mentioned as positive features of the confinement. From a clinical viewpoint, examining positive perception on stressful events provides practitioners with therapeutic tools for treating individuals with ED based on a client-centered approach.
Psychopathological sequelae and posttraumatic stress disorder in children of victims of intimate partner violence against women
Authors: Ferrera-Silva Mónica , Bueso-Izquierdo Natalia , Barbosa-Torres Carlos , Moreno-Manso Juan Manuel 
Published: November 2024

Abstract
The aim of this research study was: to analyze psychopathological symptomatology and posttraumatic stress disorder (PTSD) in children of victims of intimate partner violence against women (IPVAW) compared with children who have not suffered this type of violence; to analyze the following two objectives: relationship between PTSD and psychopathological symptomatology in children victims of IPVAW; and to determine to what extent PTSD can predict the presence of psychopathological symptomatology in this population. The participants consisted of 60 children aged 7 to 11 years who completed behavioral assessment instruments and two valid and reliable measures of PTSD. The children showed behavioral and emotional difficulties which severely hinder their capacity to adapt to their surroundings and may affect their capacity to respond adequately to a range of everyday situations. They also showed symptoms of PTSD. This study highlighting the need to design intervention strategies aimed at alleviating and modifying the problem areas in this population.
Process evaluation of a health- and fitness-related physical education program
Authors: Rosenstiel Stephanie , Volk Carmen , Dernbach Maike , Teutemacher Brit , Demetriou Yolanda , Thiel Ansgar , Sudeck Gorden 
Published: November 2024

Abstract
Objective
The aim of this process evaluation study was to investigate fidelity, acceptance, applicability and movement time with respect to the health- and fitness-related GEKOS program (Förderung bewegungsbezogener Gesundheitskompetenz im Sportunterricht) linking theory and practice in physical education.

Methods
Fidelity was investigated by observation, self-report forms and poster documentations. Applicability and students’ (n = 472) and teachers’ (n = 27) acceptance were examined by qualitative interviews and surveys directly after the GEKOS program. Movement time was assessed using accelerometer data and compared to students’ (n = 369) movement time in regular physical education classes.

Results
Overall, fidelity was high and statements in the interviews and surveys with regard to applicability and acceptance were heterogeneous. Particularly critical was the low net movement time, which was assessed using device-based accelerometer data.

Conclusion
The results allowed us to identify barriers such as standardization and facilitators such as teachers’ acceptance of teaching student-centered approaches. Therefore, flexibility in the delivery of programs and the balance between net time moving and theoretical cognitive activating content in PE need to be discussed further in terms of long-term implementation of such a program.
Electronic health records reveal that COVID-19 impacted health resources and survival of Basque population
Authors: Cruces-Salguero Sara , Larrañaga Igor , Mar Javier , Matheu Ander 
Published: November 2024

Abstract
Background
The COVID-19 pandemic impacted worldwide. The Basque Country was one of the regions in Spain most affected by the virus.

Methods
In this retrospective study, we took advantage of the Basque Health Service electronic health records data lake of over 20,000 deceased individuals, including 5000 positives for COVID-19, between 2020 and 2022 in Gipuzkoa (Basque Country, Spain).

Results
Comparison between COVID-19-positive and negative individuals’ showed that the prevalence of infections was higher inside nursing homes and COVID-19 promoted a significant rise in hospitalizations, emergency entrances, and ICU admissions. No differences were observed between genders in terms of infections or survival but were detected in health resources and vaccination showed a strong protective effect against the disease.

Conclusions
Our results provided a complete characterization of the impact of COVID-19 on the Basque population, which expands the knowledge of the pandemic on older individuals and the health system. Our study also highlights the benefit of the use of Electronic Health Records in studying human diseases.
Dementia Risk and Social Determinants of Health Among Adults Racialized as Black: A Community-Based System Dynamics Perspective
Authors: Trani Jean-Francois , Hart Robbie , Walker Alexis I. B. , Safi Meena , Singh Ramkrishna K. , Zhu Yiqi , Babulal Ganesh M. 
Published: November 2024

Abstract
Background
The aging population in the USA is projected to increase significantly, with a corresponding rise in dementia cases, particularly among racial minorities. This study examines the key drivers of racial disparities in dementia risk among older Black adults in the St. Louis area, a region characterized by entrenched structural racism. Utilizing a Community-Based System Dynamics (CBSD) approach, we engaged cognitively normal Black adults (age ≥ 45) to explore the complex interplay of social and structural determinants of health (S/SDOH) affecting dementia risk.

Methods
Eight CBSD workshops were conducted, during which participants identified and analyzed various factors influencing dementia risk through group model-building techniques. These workshops revealed multiple reinforcing and balancing feedback loops, highlighting the intricate relationships between trauma, health literacy, social isolation, education, healthcare access, and systemic racism.

Results
There were 59 participants with an average age of 64, a majority of women (88%) and college-educated (15.9 years) residing in areas with moderately severe deprivation. The resulting Causal Loop Diagrams underscored the impact of poverty, discrimination, and limited access to quality education and healthcare on dementia risk across the lifespan. Participants proposed actionable interventions, including health information campaigns, community mobilization, and improvements in public transportation and healthcare accessibility.

Conclusion
This study emphasizes the necessity of addressing S/SDOH to mitigate dementia risk among Black Americans. The findings call for targeted public health initiatives and policy changes to improve socioeconomic conditions and reduce racial disparities in dementia outcomes.
Fixed point and stability results for multi-valued nonlinear graph contractions in complete metric spaces
Authors: Moga Mădălina , Truşcă Radu 
Published: November 2024

AbstractIn this work we will present a generalization of Covitz-Nadler’s contraction principle, as well as of the multi-valued graph contraction principle. The results of this paper extend and complement well-known fixed point theorems. Also, several stability properties are proved. In the last section, a Maia type theorem for a multi-valued nonlinear graph contraction is proved. An application to an integral inclusion of the Volterra type is given.
“My Back Exercise App”—mHealth for Low Back Pain: Development and Usability Testing
Authors: Comachio Josielli , Mesa-Castrillon Carlos Ivan , Beckenkamp Paula R. , Roberts Katharine , Ho Emma Kwan-Yee , Field Rowena , Nelligan Rachel K. , Ferreira Manuela L. , Bennell Kim L. , Gordon Christopher J. , Ferreira Paulo 
Published: November 2024

Abstract
Effective management of chronic low back pain (LBP) often relies on maintaining a healthy lifestyle. Mobile health (mHealth) applications provide a unique opportunity to support LBP sufferers by integrating evidence-based health education into daily routines. However, many existing mHealth apps lack scientific rigour in their development, limiting their impact. This study reports on developing and usability testing My Back Exercise, an mHealth app designed to support individuals managing chronic LBP through a user-centred, theory-based approach. The development followed the Double Diamond framework and Software Development Life Cycle (SDLC) model, focusing on behaviour change theory to promote healthy lifestyle habits. Usability testing involved ten users and employed the System Usability Scale (SUS) and Mobile App Rating Scale (MARS) to assess engagement, functionality, aesthetics, and information quality. Additionally, a think-aloud approach captured real-time feedback and guided iterative improvements. Results showed that the app was well-received, achieving a SUS mean score of 79 (total score of 100) and a MARS mean score of 3.7 (out of 5.0). Key intervention components included exercises, sleep management, diet, and pain education, contributing to a holistic self-management tool. This study provides a transparent roadmap for the development of evidence-based digital health tools. The My Back Exercise app offers an innovative, holistic approach to help people self-manage chronic LBP using evidence-based methods.
Smartphone based human activity recognition irrespective of usage behavior using deep learning technique
Authors: Kundu Soumya , Mallik Manjarini , Saha Jayita , Chowdhury Chandreyee 
Published: November 2024

Abstract
Human activity recognition (HAR) from sensory data is a crucial task for a wide variety of applications. The in-built inertial sensor facilities of commercial smartphones have made the data collection process easier. However, different smartphone configurations exhibit variations in sensor readings for the same activities. Different smartphone holding positions, like in hand, shirt, or trouser pockets, also lead to variations in signal patterns for the same activity. Some recent works have shown that automated feature extraction using deep learning methods can significantly improve activity recognition, although there is a lack of experimentation considering device heterogeneity and different smartphone holding positions. The proposed work addresses this research gap with a two-fold contribution. First, a CNN-based HAR framework is proposed that forms 2-D frequency domain images to capture temporal patterns in the data along with inter-axis spatial features. Second, an ensemble of conditional classifiers has been designed based on CNN that exhibits generality in terms of device configurations and usage behavior. Real life data have been collected for different activities using different devices for experimentation. The proposed ensemble model is found to recognize activities with 94% accuracy even when the training and test devices are different for real datasets.
Feasibility, acceptability and prognostic value of muscle mass and strength measurement in patients with hip fracture: a systematic review
Authors: Prowse James , Jaiswal Sharlene , Gentle Jack , Sorial Antony K. , Witham Miles D. 
Published: November 2024

Abstract
Purpose
Sarcopenia is diagnosed on the basis of low muscle strength, with low muscle mass used to confirm diagnosis. The added value of measuring muscle mass is unclear. We undertook a systematic review to assess whether muscle mass measurement in patients with hip fracture was acceptable, feasible and independently associated with adverse outcomes.

Methods
Electronic databases (MEDLINE, EMBASE, CENTRAL, CINAHL, Clinicaltrials.gov) were searched for studies of patients with hip fracture aged ≥ 60 with perioperative muscle mass or strength assessments. Associations with postoperative outcomes including death, length of stay and activities of daily living were extracted. Risk-of-bias was assessed using the AXIS and ROBINS-I tools. Due to the degree of study heterogeneity, data were analysed by narrative synthesis.

Results
The search strategy identified 3317 records. 36 studies were included with 7860 participants. Acceptability of muscle mass measurement was not assessed, but measurement appeared feasible using biompedance, dual energy x-ray absorptiometry and computed tomography. Univariate analyses indicated that lower muscle mass was associated with higher death rates at 30 days, worse mobility, worse activity of daily living metrics and worse physical performance but there was no significant association with length of stay or postoperative complications. Four studies included both muscle mass and strength in multivariable analyses; muscle mass was a significant independent predictor of only one adverse outcome in a single study after adjustment for muscle strength and other predictor variables.

Conclusion
Current data suggest that muscle mass assessment offers no additional prognostic information to muscle strength measures in patients with hip fracture.
Flood of techniques and drought of theories: emotion mining in disasters
Authors: Shapouri Soheil , Soleymani Saber , Rezayi Saed 
Published: November 2024

Abstract
Emotion mining has become a crucial tool for understanding human emotions during disasters, leveraging the extensive data generated on social media platforms. This paper aims to summarize existing research on emotion mining within disaster contexts, highlighting both significant discoveries and persistent issues. On the one hand, emotion mining techniques have achieved acceptable accuracy enabling applications such as rapid damage assessment and mental health surveillance. On the other hand, with many studies adopting data-driven approaches, several methodological issues remain. These include arbitrary emotion classification, ignoring biases inherent in data collection from social media, such as the overrepresentation of individuals from higher socioeconomic status on Twitter, and the lack of application of theoretical frameworks like cross-cultural comparisons. These problems can be summarized as a notable lack of theory-driven research and ignoring insights from social and behavioral sciences. This paper underscores the need for interdisciplinary collaboration between computer scientists and social scientists to develop more robust and theoretically grounded approaches in emotion mining. By addressing these gaps, we aim to enhance the effectiveness and reliability of emotion mining methodologies, ultimately contributing to improved disaster preparedness, response, and recovery.