bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fathers’ Self-Compassion and Child Attachment Quality: Testing a Sequential Indirect Effect via Emotion Regulation Difficulties, Loneliness, and Psychological Distress in Two Paternal Samples
Authors: van Heerden Daniel , Mazzucchelli Trevor G. , Kirby James N. , Brett Jack D. , Mancini Vincent O. 
Published: February 2025

Abstract

Objectives
Self-compassion has emerged as a promising treatment target to promote healthy parent–child relationships, though mostly in maternal samples. The mechanisms through which self-compassion may optimise the father-child relationships are not yet well-established. This study integrated previous findings to test a conceptual model that hypothesised a sequential indirect effect of fathers’ self-compassion on father-child relationship quality via emotion regulation difficulties, loneliness, and psychological distress.

Method
The hypothesised model was tested in two different samples of fathers recruited using convenience sampling procedures. Sample 1 comprised an international sample of 320 fathers with children aged 3 to 18 years; Sample 2 comprised a more concentrated sample of 361 fathers residing in the USA and with children aged 5 to 12 years. All participants completed an online survey examining the psychosocial determinants of father-child closeness and conflict.

Results
Fathers’ self-compassion was indirectly associated with father-child closeness and conflict in both samples. In combination with emotion regulation difficulties, loneliness, and psychological distress, the variables explained more variance in conflict (up to 22%) compared to closeness (up to 13%). The model was largely invariant across both groups, though emotion regulation difficulties were notably higher for Sample 1.

Conclusions
The findings highlight a potential process model for self-compassion and the father-child relationship. Subject to further longitudinal or intervention studies, enhancing fathers’ self-compassion may help them to better regulate emotions, in turn reducing feelings of loneliness and psychological distress that could ultimately result in greater closeness and fewer conflicts in their relationships with their child.

Preregistration
This work was preregistered on the Open Science Framework. Protocol registration: https://osf.io/3k6x8
“If I Start [Primary Prevention] Now, I Can Prevent [Cancer]”: College Students Endorse Cancer Prevention Education
Authors: Wilt Jacqueline Knight , Thomson Maria D. 
Published: February 2025

Abstract
Early onset colorectal cancer has been linked to lifestyle-related risk factors. Emerging adulthood (ages 18–25) has the greatest changes to lifestyle health behaviors with implications for health outcomes. College students have moderate consideration of future cancer risk (CFC-CA) when navigating current health behavior choices. This study explored cancer prevention knowledge, attitudes and behavioral intentions in a subset of students with low, medium and high CFC-CA. Qualitative interviews were used to explore cancer prevention among a sample of college students. We identified a stratified sample (N = 43) of high CFC-CA (n = 16), medium CFC-CA (n = 14), and low CFC-CA (n = 13) students who agreed to complete a 60-min interview on Zoom. Interviews were transcribed verbatim, and transcripts were coded using an iterative, line-by-line approach. Group comparisons were completed after coding was complete. Students exhibited greatest awareness of highly publicized cancers including the lung, breast, and skin. Fifty-four percent of those with low CFC-CA and 87% with high CFC-CA believe that their current health behavioral intentions are protective against cancer. Most students want more cancer education regardless of CFC-CA level to know how they can reduce their cancer risk. Differences in preferred information sources (indirect vs direct) were identified for low versus higher CFC-CA, respectively. Students’ preferences for cancer education were related to their CFC-CA scores. This could be used to tailor information content and delivery modality. Delivering cancer prevention education through means that facilitate internal reflection may be more effective for improving risk reduction behaviors.
Radiation Oncology Active Learning in Undergraduate Medical Education: The Usefulness of Kahoot and TikTok
Authors: Zapata-Martínez Irene , Rius-Diaz Francisca , Lorenzo-Álvarez Rocío , De la Peña-Fernández Lourdes 
Published: February 2025

Abstract
Gamification and social networking can be used as active learning tools, as they have been shown to increase learner motivation. Nevertheless, it is unclear whether they impact students’ knowledge acquisition. This study aimed to share an educational experience for medical students using Kahoot and TikTok as active teaching/learning tools and assessed whether they improve academic performance. A retrospective quasi-experimental study was conducted with 176 students enrolled in radiation oncology in the 2021/22 academic year (control group), who received traditional teaching, and 166 students in the 2022/23 academic year (experimental group), where Kahoot and TikTok were added to traditional teaching. Final exam results of both groups were compared to assess learning differences, as well as those of the experimental group in terms of participation in Kahoot and TikTok and their relationship with the final grade. Comparing the average exam scores of the experimental group to the control group showed an increase of 12.9% in the first group compared to the traditional group (6.02 vs. 7.31 points, p = 0.0001). In the experimental group, students who participated in Kahoot or TikTok increased their mean score by 0.54 points (p = 0.021) and 1.57 points (p = 0.040), respectively, compared to those who did not. A correlated increase in mean test scores was observed based on tool usage: none, Kahoot or TikTok, or both (6.19, 6.88 ± 1.48, and 7.51 ± 1.20 points, p = 0.019). Using Kahoot and TikTok as active learning tools for medical students improved academic performance when integrated with traditional methodology.
Synergistic application of Welan gum and polysaccharides for enhanced oil recovery
Authors: Serikov Galymzhan , Zhuniskenov Yermukhan , Hashim Abbas Azza , Pourafshary Peyman 
Published: February 2025

Abstract
The use of natural polymers for Enhanced Oil Recovery (EOR) offers an eco-friendly alternative to synthetic polymers. This study introduces a novel approach by utilizing Beta vulgaris polymer and exploring its modification with Welan gum to enhance rheological performance. The polymers were characterized through SEM, FTIR, XRD, and TGA to assess their structural, thermal, and morphological properties. The study evaluates the effects of concentration, temperature, and salinity on rheological behavior along with core flooding. Beta vulgaris exhibited varying particle sizes with moderate viscosity (10 cP), which decreased by 80% at 55 °C in saline conditions, indicating poor thermal stability. Welan gum, with its rod-like structure, demonstrated superior thermal resistance. The composite blend of Beta vulgaris and Welan gum significantly improved viscosity (30 cP) and flow stability. All polymers followed the Ostwald–de Waele power law, with the composite blend enhancing the flow behavior index and stability by 75% and 10%, respectively. Core flooding experiments confirmed a 60% increase in oil fractional flow with natural polymers and 26% incremental oil recovery with a composite material injection. This study demonstrates the potential of combining Beta vulgaris and Welan gum as a sustainable, efficient solution for EOR, particularly in challenging reservoir conditions.

Graphical abstract
Public Goods Games in Disease Evolution and Spread
Authors: Morison Christo , Fic Małgorzata , Marcou Thomas , Mohamadichamgavi Javad , Redondo Antón Javier , Sayyar Golsa , Stein Alexander , Bastian Frank , Krakovská Hana , Krishnan Nandakishor , L. Pires Diogo , Satouri Mohammadreza , J. Thomsen Frederik , Tjikundi Kausutua , Ali Wajid 
Published: February 2025

Abstract
Cooperation arises in nature at every scale, from within cells to entire ecosystems. Public goods games (PGGs) are used to represent scenarios characterised by the conflict/dilemma between choosing cooperation as a socially optimal strategy and defection as an individually optimal strategy. Evolutionary game theory is often used to analyse the dynamics of behaviour emergence in this context. Here, we focus on PGGs arising in the disease modelling of cancer evolution and the spread of infectious diseases. We use these two systems as case studies for the development of the theory and applications of PGGs, which we succinctly review. We also posit that applications of evolutionary game theory to decision-making in cancer, such as interactions between a clinician and a tumour, can learn from the PGGs studied in epidemiology, where cooperative behaviours such as quarantine and vaccination compliance have been more thoroughly investigated. Furthermore, instances of cellular-level cooperation observed in cancers point to a corresponding area of potential interest for modellers of other diseases, be they viral, bacterial or otherwise. We aim to demonstrate the breadth of applicability of PGGs in disease modelling while providing a starting point for those interested in quantifying cooperation arising in healthcare.
De toekomst van de uro-oncologische zorg: minder is meer?
Authors: Rutten Vera C. , Penninx Bart M. F. , Westgeest Hans M. , Boormans Joost L. 
Published: February 2025

Samenvatting
De gezondheidszorg staat onder druk door een toenemende zorgvraag, vergrijzing, personeelstekort en hoge kosten. Daarnaast draagt de gezondheidszorg bij aan de milieubelasting. Om de zorg toekomstbestendig en duurzaam te maken en toegankelijk te houden, zijn drastische veranderingen noodzakelijk. Binnen de uro-oncologische zorg zijn er succesvolle voorbeelden beschikbaar van de-escalatie van zorg, zoals active surveillance bij laagrisicoprostaatkanker en T1a-niertumoren. Hypofractionering bij bestraling en alternatieve follow-upschema’s, zoals urinetests bij blaaskanker, verminderen het aantal ziekenhuisbezoeken per patiënt en hebben een positief effect op de beschikbare zorgcapaciteit en het milieu. Nieuwe systeemtherapieën voor blaas- en nierkanker, zoals immunotherapie, laten in onderzoeken een langere overleving zien. Doordat de resultaten in de dagelijkse praktijk minder zijn dan in de onderzoeken is het noodzakelijk om kritisch te blijven op de manier waarop deze onderzoeken zijn uitgevoerd. Patiënten moeten toegang hebben tot middelen die bewezen effectief zijn, terwijl de bijwerkingen en kosten zo beperkt mogelijk zijn. Dat betekent soms afzien van nieuwe behandelingen en bestaande behandelingen gepaster inzetten. Er lopen verschillende onderzoeken die nagaan hoe we bestaande systeemtherapieën efficiënter kunnen inzetten. Naast een slimme inzet van de beschikbare middelen in de zorg is preventie essentieel, met een focus op stoppen met roken en een gezonde leefstijl. Door onze behandelingen doelmatig en duurzaam in te richten, dragen we bij aan een toekomstbestendige zorg.
Discounting and precautionary behavior with an application to economic epidemiology
Authors: Popov Latchezar 
Published: February 2025

Abstract
I develop a simple model of precautionary behavior in the context of avoiding an infectious disease. I show that in an infinite horizon model, the degree of caution is always nonmonotone in the discount factor; in extensions with finite number of periods or stochastic termination, the degree of caution is nonmonotone with sufficient number of periods or sufficiently low termination probability. I extend the model to allow interaction between agents using the SIR approach. I find that again, precautionary behavior is not monotone in the discount factor. With high discount factors, individual precautionary behaviors are strategic complements.
Interpolation in higher codimension
Authors: Chiantini Luca 
Published: February 2025

Abstract
Following the suggestions contained in [5], I will discuss constructions that generalizes the interpolation problems for divisors to the case of varieties of higher codimension, with emphasis on the case of curves arising as 0-loci of vector bundles of rank 2 in

$$\mathbb {P}^3$$

P

3

.
High-Performance Gate-All-Around Field Effect Transistors Based on Orderly Arrays of Catalytic Si Nanowire Channels
Authors: Liao Wei , Qian Wentao , An Junyang , Liang Lei , Hu Zhiyan , Wang Junzhuan , Yu Linwei 
Published: February 2025

Abstract
Gate-all-around field-effect transistors (GAA-FETs) represent the leading-edge channel architecture for constructing state-of-the-art high-performance FETs. Despite the advantages offered by the GAA configuration, its application to catalytic silicon nanowire (SiNW) channels, known for facile low-temperature fabrication and high yield, has faced challenges primarily due to issues with precise positioning and alignment. In exploring this promising avenue, we employed an in-plane solid–liquid-solid (IPSLS) growth technique to batch-fabricate orderly arrays of ultrathin SiNWs, with diameters of D
NW = 22.4 ± 2.4 nm and interwire spacing of 90 nm. An in situ channel-releasing technique has been developed to well preserve the geometry integrity of suspended SiNW arrays. By optimizing the source/drain contacts, high-performance GAA-FET devices have been successfully fabricated, based on these catalytic SiNW channels for the first time, yielding a high on/off current ratio of 107 and a steep subthreshold swing of 66 mV dec−1, closing the performance gap between the catalytic SiNW-FETs and state-of-the-art GAA-FETs fabricated by using advanced top-down EBL and EUV lithography. These results indicate that catalytic IPSLS SiNWs can also serve as the ideal 1D channels for scalable fabrication of high-performance GAA-FETs, well suited for monolithic 3D integrations.
Recent advances in wearable electrochemical sensors for in situ detection of biochemical markers
Authors: Jiao Yanli , Yu Xinge 
Published: February 2025

Abstract
In recent years, wearable electrochemical sensors have been widely used for biochemical analysis. These sensors, which incorporate flexible electrodes and sensitive recognition elements on a flexible substrate, facilitate the noninvasive, in-situ, real-time, and continuous monitoring of target biochemical molecules in biofluids while maintaining high selectivity and sensitivity. This review provides a comprehensive examination of the principles guiding the selection of core components and the recent advances in wearable electrochemical sensors for biochemical markers in recent years. Initially, we outline the essential considerations in designing wearable sensors to detect biomarkers in biofluids, including sampling techniques, material selection, design parameters, recognition elements, sensing strategies, power requirements, data processing, and sensor integration. We emphasize the improved efficacy of recognition elements, which has been significantly enhanced by biotechnology and materials science developments, facilitating selective and sensitive detection of target components within complex matrices. Concurrently, incorporating nanomaterials and conductive polymers (CPs) has markedly improved the sensing capabilities of flexible electronics. Subsequently, we investigate recent progress in situ detection of biochemical markers utilizing wearable electrochemical sensors that employ advanced materials, optimized mechanical structures, and various conduction mechanisms. The notable applications stemming from these technological innovations illustrate significant improvements in sensitivity, reliability, and monitoring capabilities of wearable electrochemical sensors while enhancing user comfort. Finally, we address the current challenges and future perspectives regarding implementing clinically oriented wearable electrochemical sensors for disease monitoring and personalized medicine.
Exploring the Relationship between Anxiety Sensitivity, Interoceptive Sensibility and Psychopathology: A Network Analysis Approach
Authors: Gualtieri Ida , Parisi Irene , Bortolini Tiago , Porciello Giuseppina , Panasiti Maria Serena 
Published: February 2025

Abstract
Interoceptive sensitivity (IS) –the beliefs related to noticing, appraising and regulating bodily signals – and Anxiety Sensitivity (AS) – the tendency to interpret anxiety-related symptoms negatively –have been frequently associated with psychopathology. Our goal was to evaluate the associations between these constructs and psychopathological symptoms using network analysis. Data from 438 participants were collected online, assessing psychopathology with the Symptom Checklist-90 (SCL-90), IS with the Multidimensional Assessment of Interoceptive Awareness (MAIA-2), and AS with the Anxiety Sensitivity Index-3 (ASI-3). We found inter-dimensional connections between: i) the Cognitive AS and the psychoticism and obsession-compulsion traits of the SCL-90; ii) the Social AS and the Trust component of the MAIA-2 and the Interpersonal Sensitivity dimension of the SCL-90. These findings suggest that AS may be more closely linked to psychopathological symptoms than IS, suggesting that catastrophic interpretations of anxiety could significantly contribute to the development and maintenance of psychopathology.
Employee and Managerial Approaches to Cyber Mistreatment—Implications for Human Resource Management
Authors: Forssell Rebecka Cowen , Jönsson Sandra , Berthelsen Hanne 
Published: February 2025

Abstract
The emergence of cyber mistreatment among frontline workers in their digital interactions with customers, clients and patients represents a significant but relatively new work environment risk within the service sector. Human resource management has a key role in digital transformation, which includes securing safe and healthy workplaces and fostering sustainable practices for handling cyber mistreatment. Departing from the context of the educational sector, the aim of this study is to analyse how cyber mistreatment is managed in workplaces and to explore the approaches employed to prevent and mitigate its negative impact. By identifying existing approaches, gaps in sustainable HRM practices can be identified. Qualitative methods were used to explore teachers’ and principals’ experiences of cyber mistreatment and their approaches to handling and preventing such exposure. The empirical data are based on in-depth interviews with 31 informants (16 teachers and 15 principals) using a cross-sectional design. The data were analysed using a qualitative content analysis framework. The study clearly shows that the approaches utilised to address cyber mistreatment are predominantly reactive and individual-centred, with few proactive and organisationally anchored approaches identified. These findings implicate the need for HRM to develop ethical organisational approaches that do not force service workers to resort to individual coping strategies. We suggest sustainable and ethical approaches that target the problems rather than the symptoms, and that work against a normalisation of cyber mistreatment within the service sector.
QRLaXAI: quantum representation learning and explainable AI
Authors: Kottahachchi Kankanamge Don Asitha , Khalil Ibrahim 
Published: February 2025

Abstract
As machine learning grows increasingly complex due to big data and deep learning, model explainability has become essential to fostering user trust. Quantum machine learning (QML) has emerged as a promising field, leveraging quantum computing to enhance classical machine learning methods, particularly through quantum representation learning (QRL). QRL aims to provide more efficient and powerful machine learning capabilities on noisy intermediate-scale quantum (NISQ) devices. However, interpreting QRL models poses significant challenges due to the reliance on quantum gate-based parameterized circuits, which, while analogous to classical neural network layers, operate in the quantum domain. To address these challenges, we propose an explainable QRL framework combining a quantum autoencoder (QAE) with a variational quantum classifier (VQC) and incorporating theoretical and empirical explainability for image data. Our dual approach enhances model interpretability by integrating visual explanations via local interpretable model-agnostic explanations (LIME) and analytical insights using Shapley Additive Explanations (SHAP). These complementary methods provide a deeper understanding of the model’s decision-making process based on prediction outcomes. Experimental evaluations on simulators and superconducting quantum hardware validate the effectiveness of the proposed framework for classification tasks, underscoring the importance of explainable representation learning in advancing QML towards more transparent and reliable applications.
Unravelling the role of biochar-microbe-soil tripartite interaction in regulating soil carbon and nitrogen budget: a panacea to soil sustainability
Authors: Parasar Bhaskar Jyoti , Agarwala Niraj 
Published: February 2025

Abstract
Global food requirements necessitating enhanced crop productivity have negative consequences such as soil degradation due to acidification and nutrient leaching escalated by excessive application of chemical fertilizers and consequently increasing greenhouse gas emission. This has sought sustainable organic approaches like soil amendment with biochar to mitigate the adverse consequences of these effects, ensuring balanced ecosystem functioning. Reconciling various studies, this review provides a better understanding of the belowground mechanisms decoding multifaceted traits associated with plant and biochar-microbe-soil tripartite interaction, including microbe-mediated regulation of C and N stoichiometry, soil enzyme functioning, regulation of greenhouse gases, soil respiration rate and alteration in abundance of microbial functional genes. Furthermore, this review exclusively gives holistic insights into specific microbes induced by biochar treatment and their role in altering soil C and N dynamics. It attempts to spur in-depth, long-term studies tackling challenges in sustainable agriculture and mitigate environmental issues to achieve C neutrality and N retention, envisaging a healthy soil ecosystem.

Graphical Abstract