bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the impact of a change in maternity leave policy in Canada on maternal mental health care visits to the physician
Authors: Larose Marie-Pier , Haeck Catherine , Lefebvre Pierre , Merrigan Philip 
Published: February 2024

Abstract
Purpose
Maternity leave is a critical employee benefit that allows mothers to recover from the stress of pregnancy and childbirth and bond with their new baby. We aimed to examine the association between the extension of a maternity leave policy and maternal use of mental health services and prescription drugs in a universal public healthcare system.

Methods
This study uses administrative medical records from 18,000 randomly selected women who gave birth three months before and after an extension of the maternity leave policy. More specifically, mothers who gave birth after January 1st 2001, were entitled to 50 weeks of paid maternity leave, while mothers who gave birth before that date were entitled to only 26 weeks of paid maternity leave. Medical records were analyzed over a seven-year period (i.e., from October 1998 to March 2006). We examined the number and costs of mothers’ medical visits for mental health care in the five years following delivery, as well as maternal use of prescribed medication for mental health problems.

Results
We found that mothers with extended maternity leave had − 0.12 (95%CI=-0.21; -0.02) fewer medical visits than mothers without a more generous maternity leave and that the cost of mental health services was Can$5 less expensive per women. These differences were found specifically during the extended maternity leave period.

Conclusions
The extra time away from work may help mothers to balance new family dynamics which may result in less demand on the healthcare system.
Virtual reality environments for stress reduction and management: a scoping review
Authors: Ladakis Ioannis , Filos Dimitrios , Chouvarda Ioanna 
Published: February 2024

AbstractVirtual reality, a cutting-edge innovation in the realm of digital experiences, though more frequently employed for entertainment and education, can also serve as a tool for immersing users in therapeutic settings that promote relaxation and mindfulness. An increasing number of research attempts investigate its usability and impact on stress evaluation, management and reduction. This scoping review aims to depict the current role of virtual reality in stress reduction and identify common methods and practice, technology patterns as well as gaps. Results depict the emerging research interest in the domain of VR-based stress reduction systems. The developed systems included in this review were basically addressed to the general public (59%) for daily life stress reduction utilizing a commercial VR headset often combined with supportive sensors. Guided imagery emerged as the most implemented method, but it is also noteworthy that almost all studies implicitly used this method. According to the analysis, most studies performed evaluation of the proposed VR system including both subjective and objective measurements to provide evidence on its efficiency and its actual impact on stress levels. Finally, validation methodologies attempt to point out the potential of VR technology in the direction of providing an efficient solution for the alleviation of stress burdens. Even though numerous studies report the usefulness and efficiency of VR technology regarding stress reduction, several challenges still need to be addressed, mainly because of the difficult definition, detection and evaluation of stress. An approach integrating the existing knowledge regarding signals that can act as biomarkers of stress and qualitative measurements could open new pathways toward the development of more impactful VR-based stress reduction systems.
Virtual reality natural experiences for mental health: comparing the effects between different immersion levels
Authors: Yen Hsin-Yen , Hsu Hsuan , Huang Wen-Hsin 
Published: February 2024

AbstractVirtual nature is an innovative approach for promoting mental health. The purpose of this study was to compare the effects on mental health outcomes between two immersion levels of virtual reality natural experiences. The study design was a cluster trial. Healthy adults were allocated to two experimental groups. Identical pre-recorded 360° videos of natural scenes and sounds were played on the two virtual reality devices, one with a higher immersive level via a head-mounted display and the other one with a lower immersive level via a smartphone. The intervention was conducted for 30 min per session, once a week for 12 weeks. Data were collected by self-reported questionnaires at the baseline and post-intervention. In total, 54 participants completed the interventions. A significantly greater effect was revealed on improving happiness, self-rated health, and physical, mental, social, and environmental quality of life, and ameliorating distress, depression, and somatization in participants who experienced the higher immersive level compared to participants who experienced the lower immersive level. Virtual reality natural experiences with high immersion are recommended to promote mental health.
Using problem-based exploratory training to improve pilot understanding of autopilot functions
Authors: Leeuwen Jordy K. van , Landman Annemarie , Groen Eric L. , Mumaw Randall J. , Stroosma Olaf , Paassen Marinus M. van , Mulder Max 
Published: February 2024

AbstractPrevious research indicated a need to improve pilot training with regard to understanding of autopilot logic and behavior, especially in non-routine situations. Therefore, we tested the effect of problem-based exploratory training on pilots’ understanding of autopilot functions. Using a moving-base flight simulator, general aviation pilots (n = 45) were trained to diagnose failures either without foreknowledge and guidance (exploratory group), without foreknowledge but with some guidance (exploratory-guidance group) or with foreknowledge and full guidance (control group). They subsequently performed six test scenarios in which their understanding of the effects of failures was tested by requiring them to deduce the failures and select autopilot modes that were still functioning. Those who received exploratory training with guidance were significantly more likely than the other groups to diagnose failures correctly. The exploratory training group also selected the most appropriate functioning autopilot modes significantly faster than the control group. The results suggest that exploratory training with an appropriate level of guidance is useful for gaining a practical understanding of autopilot logic and behavior. Exploratory training may help to improve transfer of training to operational practice, and prevent automation surprises and accidents.
The role of budget impact and its relationship with cost-effectiveness in reimbursement decisions on health technologies in the Netherlands
Authors: Reckers-Droog Vivian , Enzing Joost , Brouwer Werner 
Published: February 2024

AbstractHealth authorities using cost-effectiveness analysis (CEA) for informing reimbursement decisions on health technologies increasingly require economic evaluations encompassing both CEA and budget impact analysis (BIA). Good Research Practices advocate that the economic and clinical assumptions underlying these analyses are aligned and consistently applied. Nonetheless, CEAs and BIAs often are stand-alone analyses used in different stages of the decision-making process. This article used policy reports and Ministerial correspondence to discuss and elucidate the role of budget impact and its relationship with cost-effectiveness in reimbursement decisions in the Netherlands. The results indicate that CEAs and BIAs are both considered important for informing these decisions. While the requirements regarding CEAs—and application of the associated decision rule—are consistent across the different stages, the same does not hold for BIAs. Importantly, the definition of and evidence on budget impact differs between stages. Some important aspects (e.g. substitution and saving effects) typically are considered in the assessment and appraisal stages but are seemingly not considered in price negotiations and the final reimbursement decision. Further research is warranted to better understand why BIAs are not aligned with CEAs (e.g. in terms of underlying assumptions), vary in form and importance between stages, and do not have a clear relationship with the results of CEAs in the decision-making framework. Improving the understanding of the circumstances under which decision-makers attach a relatively larger or smaller weight to (different aspects of) budget impact may contribute to increasing the transparency, consistency, and optimality of reimbursement decisions in the Netherlands.
Selective Partitioned Regression for Accurate Kidney Health Monitoring
Authors: Whelan Alex , Elsayed Ragwa , Bellofiore Alessandro , Anastasiu David C. 
Published: February 2024

AbstractThe number of people diagnosed with advanced stages of kidney disease have been rising every year. Early detection and constant monitoring are the only minimally invasive means to prevent severe kidney damage or kidney failure. We propose a cost-effective machine learning-based testing system that can facilitate inexpensive yet accurate kidney health checks. Our proposed framework, which was developed into an iPhone application, uses a camera-based bio-sensor and state-of-the-art classical machine learning and deep learning techniques for predicting the concentration of creatinine in the sample, based on colorimetric change in the test strip. The predicted creatinine concentration is then used to classify the severity of the kidney disease as healthy, intermediate, or critical. In this article, we focus on the effectiveness of machine learning models to translate the colorimetric reaction to kidney health prediction. In this setting, we thoroughly evaluated the effectiveness of our novel proposed models against state-of-the-art classical machine learning and deep learning approaches. Additionally, we executed a number of ablation studies to measure the performance of our model when trained using different meta-parameter choices. Our evaluation results indicate that our selective partitioned regression (SPR) model, using histogram of colors-based features and a histogram gradient boosted trees underlying estimator, exhibits much better overall prediction performance compared to state-of-the-art methods. Our initial study indicates that SPR can be an effective tool for detecting the severity of kidney disease using inexpensive lateral flow assay test strips and a smart phone-based application. Additional work is needed to verify the performance of the model in various settings.
Determination and comparison of morpho-physiological characteristics of Turkish sweet cherry (Prunus avium L.) grown in Afyonkarahisar: local cultivars and genotypes
Authors: Kırca Levent , Aygün Ahmet 
Published: February 2024

AbstractThe research focused on analyzing qualitative and quantitative morpho-physiological characteristics of local sweet cherry cultivars and genotypes. Quantitative and qualitative characteristics (fruit weight, fruit length, fruit width, fruit shape, fruit pistil end, fruit suture, fruit skin colour, fruit flesh colour, length of fruit stalk, thickness of fruit stalk, weight of fruit stalk, colour of fruit juice, fruit juiciness, eating quality, fruit sweetness, stone weight, stone shape, TA, pH, L*, a*, b*, H, croma, cracking index, sensitivity class) with UPOV descriptors were used in the evaluation. The findings revealed a significant variation among local cultivars and genotypes. It was determined that there was a low-level negative correlation between cracking index and fruit weight, fruit length, stone weight, TA, pH and L*; and a low-level positive correlation between fruit width, fruit stem length, thickness and weight, SCC, a*, b*, H and croma. The heat map and clustering analysis classified local cultivars and genotypes into two main clusters, each containing several secondary sub-clusters. This classification indicates a significant potential within the characterized sweet cherry collection for targeted breeding purposes. In particular, local sweet cherry cultivars and genotypes classified into several clusters show promise as potential parental candidates for hybridization in breeding. As a result of the research, local cultivars and genotypes with high fruit weight and cracking resistance were identified. The dendrogram showing the examined characteristics visually expresses the differentiation between local cultivars and genotypes, thus indicating clear distinctions. We believe these genotypes can be employed in breeding and breeding research.
High-resolution dispersion modelling of PM2.5, PM10, NOx and NO2 exposure in metropolitan areas in Sweden 2000‒2018 – large health gains due to decreased population exposure
Authors: Kilbo Edlund Karl , Kisiel Marta A. , Asker Christian , Segersson David , Bennet Cecilia , Spanne Mårten , Gustafsson Susanna , Lindvall Jenny , Eneroth Kristina , Tondel Martin , Ljungman Petter , Stockfelt Leo , Pershagen Göran , Molnár Peter 
Published: February 2024

AbstractAmbient air pollution remains the major environmental cause of disease. Accurate assessment of population exposure and small-scale spatial exposure variations over long time periods is essential for epidemiological studies. We estimated annual exposure to fine and coarse particulate matter (PM2.5, PM10), and nitrogen oxides (NOx, NO2) with high spatial resolution to examine time trends 2000‒2018, compliance with the WHO Air Quality Guidelines, and assess the health impact. The modelling area covered six metropolitan areas in Sweden with a combined population of 5.5 million. Long-range transported air pollutants were modelled using a chemical transport model with bias correction, and locally emitted air pollutants using source-specific Gaussian-type dispersion models at resolutions up to 50 × 50 m. The modelled concentrations were validated using quality-controlled monitoring data. Lastly, we estimated the reduction in mortality associated with the decrease in population exposure. The validity of modelled air pollutant concentrations was good (R2 for PM2.5 0.84, PM10 0.61, and NOx 0.87). Air pollution exposure decreased substantially, from a population weighted mean exposure to PM2.5 of 12.2 µg m−3 in 2000 to 5.4 µg m−3 in 2018. We estimated that the decreased exposure was associated with a reduction of 2719 (95% CI 2046–3055) premature deaths annually. However, in 2018, 65%, 8%, and 42% of residents in the modelled areas were still exposed to PM2.5, PM10, or NO2 levels, respectively, that exceeded the current WHO Air Quality Guidelines for annual average exposure. This emphasises the potential public health benefits of reductions in air pollution emissions.
Investigating the mediating roles of executive functioning and rumination in the relations between dispositional mindfulness and depression among high school students
Authors: Hu Yuanxin , Jiang Xiaochun , Zhang Qian , Zhang Anbang 
Published: February 2024

AbstractThis study investigates the intricate relations between dispositional mindfulness, executive functioning, rumination, and depression among Chinese high school students. It aims to understand how dispositional mindfulness can potentially predict depression in this demographic, providing insights for preventive interventions targeting adolescent depression. Despite growing recognition of mindfulness in mental health, its relations between executive functioning, rumination, and depression in high school students is not fully understood. The study involved 608 high school students (59.5% female; M age = 16.37 SD = 0.53) from the southwestern region of China. Data were collected using established scales: the Mindful Attention Awareness Scale (MAAS), the Teenage Executive Functioning Inventory (TEXI), the Ruminative Response Scale (RRS), and the Centre for Epidemiological Studies Depression Scale (CES-D). The analysis revealed significant correlations: a significant positive association between mindfulness and executive functioning capabilities, alongside notable negative associations between mindfulness and both rumination and depression, and a negative correlation between executive functioning and both rumination and depression.A positive correlation was observed between rumination and depression. Analytical the mediation model indicated that mindfulness predicts depression in directly, with this predictive effect being partially mediated by executive functioning and rumination in a serial multiple mediation model. These results corroborate the initial hypotheses and highlight the intricate interactions between mindfulness, executive functioning, rumination, and depression in high school student. This study underscores the importance of mindfulness, executive functioning, and rumination in understanding adolescent depression. The findings offer valuable insights for future research and highlight key areas for potential preventive strategies in adolescent mental health.
Assessment of airport security culture in Nigeria
Authors: Adenigbo Adedotun Joseph 
Published: February 2024

Abstract
The increase in technology and other parameters for security does not guarantee the expected secured airports without the appropriate behaviour, attitude, and customs of stakeholders. This study examines the airport security culture practices in Nigeria. The study adopted the Airports Council International (ACI 2021) survey instrument developed to assess security culture at airports. The instrument was designed as a questionnaire that presents eight dimensions of security culture with twenty-six (26) indicators using a 5-point Likert scale in order of agreement. The questionnaire was administered randomly to airport stakeholders, and a total response of 472 was recorded for data analysis. The data was subjected to exploratory factor analysis (EFA) to summarise and reduce the items to a few orthogonal ones representing Nigeria's common airport security culture practices. The study found that three (3) indicators relating to leadership roles do not significantly contribute to the factors serving as common security practices at airports in Nigeria. However, eight (8) common security practices were identified to be significant at airports in Nigeria. Strikingly, the study found that corporate security practices were not significant at Nigeria’s airports. The study highlights the need for airport managers to enhance security culture by adopting security as their corporate culture.
Anomalies in the short-range local environment and atomic diffusion in single crystalline equiatomic CrMnFeCoNi high-entropy alloy
Authors: Smekhova Alevtina , Gaertner Daniel , Kuzmin Alexei , Buzanich Ana Guilherme , Schuck Goetz , Zizak Ivo , Wilde Gerhard , Yusenko Kirill V. , Divinski Sergiy 
Published: February 2024

AbstractMulti-edge extended X-ray absorption fine structure (EXAFS) spectroscopy combined with reverse Monte Carlo (RMC) simulations was used to probe the details of element-specific local coordinations and component-dependent structure relaxations in single crystalline equiatomic CrMnFeCoNi high-entropy alloy as a function of the annealing temperature. Two representative states, namely a high-temperature state, created by annealing at 1373 K, and a low-temperature state, produced by long-term annealing at 993 K, were compared in detail. Specific features identified in atomic configurations of particular principal components indicate variations in the local environment distortions connected to different degrees of compositional disorder at the chosen representative temperatures. The detected changes provide new atomistic insights and correlate with the existence of kinks previously observed in the Arrhenius dependencies of component diffusion rates in the CrMnFeCoNi high-entropy alloy.
Data Sovereignty in Information Systems
Authors: von Scherenberg Franziska , Hellmeier Malte , Otto Boris 
Published: February 2024

AbstractData has become a strategic asset for societal prosperity and economic competitiveness. There has long been an academic consensus that the value of data unfolds during its use. Consequently, many stakeholders have called for expanding the use and reuse of data, including the public and open variety, as well as that from private data providers. However, citizens and organizations want self-determination over their data use, that is, data sovereignty. This fundamentals paper applies a literature review to conceptualize the term in Information Systems (IS) research by summarizing current findings and definitions to add further structure to the field. It contributes to the current research streams by introducing a core conceptual model consisting of seven interacting core aspects, involving trust between data providers and consumers for data assets, supported by data infrastructure and contractual agreements on all data lifecycle stages. We evaluate and discuss this conceptual model through recent field examples and provide an overview of future research opportunities.
Ultra-Brief Breath Counting (Mindfulness) Training Abolishes Negative Affect–Induced Alcohol Motivation in Hazardous Community Drinkers
Authors: Bakou Alexandra Elissavet , Hardy Lorna , Shuai Ruichong , Wright Kim , Hogarth Lee 
Published: February 2024

Abstract
Objectives
Mindfulness therapy improves drinking outcomes arguably by attenuating negative mood–induced drinking, but this mechanism has not been demonstrated in hazardous community drinkers. To address this, three studies tested whether a key ingredient of mindfulness, breath counting, would attenuate the increase in motivation for alcohol produced by experimentally induced negative mood, in hazardous community drinkers.

Method
In three studies, hazardous community drinkers were randomized to receive either a 6-min breath counting training or listen to a recited extract from a popular science book, before all participants received a negative mood induction. Motivation for alcohol was measured before and after listening to either the breath counting training or the control audio files, with a craving questionnaire in two online studies (n = 122 and n = 111), or an alcohol versus food picture choice task in a pub context in one in-person study (n = 62).

Results
In Study 1, breath counting reduced alcohol craving. However, since the mood induction protocol did not increase craving, the effect of breath counting in reversing such increase could not be demonstrated. Online breath counting eliminated the increase in alcohol craving induced by negative mood (Study 2) and eliminated the stress-induced increase in alcohol picture choice in the pub environment (Study 3).

Conclusions
Briefly trained breath counting attenuated negative mood–induced alcohol motivation in hazardous community drinkers. These results suggest that breath counting is a reliable and practical method for reducing the impact of negative emotional triggers on alcohol motivation.

Preregistration
These studies are not preregistered.