bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations between cardiac rehabilitation structure and processes and dietary habits after myocardial infarction: a nationwide registry study
Authors: Hag Emma , Bäck Maria , Henriksson Peter , Wallert John , Held Claes , Stomby Andreas , Leosdottir Margret 
Published: January 2025

Abstract

Aims
Improved dietary habits are important for successful secondary prevention after myocardial infarction (MI), with counselling and support on healthy dietary habits constituting a cornerstone of cardiac rehabilitation (CR). However, there is limited knowledge on how to optimize CR organization to motivate patients to adopt healthy dietary habits. We aimed to explore associations between CR programme structure, processes, and self-reported dietary habits 1 year post-MI.

Methods and results
Organizational data from 73 Swedish CR centres and patient-level data from 5248 CR patients were analysed using orthogonal partial least squares discriminant analysis to identify predictors for healthy dietary habits. Variables of importance for the projection (VIP) values exceeding 0.80 were considered meaningful. Key predictors included the CR centre having a medical director [VIP (95% confidence interval)] [1.86 (1.1–2.62)], high self-reported team spirit [1.63 (1.29–1.97)], nurses have formal training in counselling methods [1.20 (0.75–1.65)], providing discharge information on risk factors [2.23 (1.82–2.64)] and lifestyle [1.81 (1.31–2.31)], time dedicated to patient interaction during follow-up [1.60 (0.80–2.40)], and centres aiming for patients to have the same nurse throughout follow-up [1.54 (1.17–1.91)]. The more positive predictors a CR centre reported to follow, the further improvement in patient-level dietary habits, were analysed by multivariable regression analysis [odds ratio for each additional positive predictor reported 1.03 (1.02–1.05), P &lt; 0.001].

Conclusion
Several variables related to CR structure and processes were identified as predictors for patients reporting healthier dietary habits. These findings offer guidance for CR centres in resource allocation and optimizing patient benefits of CR attendance.
Estimating financial and health burden by initial Medicare plan choice and history of cancer
Authors: Jazowski Shelley A , Achola Emma M , Nicholas Lauren Hersch , Wood William A , Friese Christopher R , Dusetzina Stacie B 
Published: January 2025

Abstract
Understanding the downstream consequences of initial Medicare plan selection is necessary to ensure access to and affordability of health care services, especially for older adults with serious illness. We used 2008-2020 data from the Health and Retirement Study to estimate financial and health burden by initial Medicare plan selection (traditional Medicare without supplemental coverage, traditional Medicare plus supplemental coverage, or Medicare Advantage) and self-reported history of cancer. Initially choosing benefits with greater financial protections (either traditional Medicare plus supplemental coverage or Medicare Advantage) relative to traditional Medicare without supplemental coverage was associated with lower levels of out-of-pocket spending and a lower likelihood of reporting cost-related medication nonadherence and fair or poor health. Policymakers should consider improving the adequacy of traditional Medicare coverage to ensure the affordability of health care services and reduce the burden of serious illness among older adults, especially those with a history of cancer.
Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach
Authors: Miao Chunlong , Luo Jingjing , Liang Yan , Liang Hong , Cen Yuhui , Guo Shijie , Yu Hongliu 
Published: January 2025

Abstract

Background
With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has become essential for older adults with disabilities. However, the diverse and scattered care requirements of these individuals make developing effective long-term care plans heavily reliant on professional nursing staff, and even experienced caregivers may make mistakes or face confusion during the care plan development process. Consequently, there is a rigid demand for intelligent systems that can recommend comprehensive long-term care plans for older adults with disabilities who have stable clinical conditions.

Objective
This study aims to utilize deep learning methods to recommend comprehensive care plans for the older adults with disabilities.

Methods
We model the care data of older adults with disabilities using a bipartite graph. Additionally, we employ a prediction-based graph self-supervised learning (SSL) method to mine deep representations of graph nodes. Furthermore, we propose a novel graph Transformer architecture that incorporates eigenvector centrality to augment node features and uses graph structural information as references for the self-attention mechanism. Ultimately, we present the Bipartite Graph Transformer (BiT) model to provide personalized long-term care plan recommendation.

Results
We constructed a bipartite graph comprising of 1917 nodes and 195 240 edges derived from real-world care data. The proposed model demonstrates outstanding performance, achieving an overall F1 score of 0.905 for care plan recommendations. Each care service item reached an average F1 score of 0.897, indicating that the BiT model is capable of accurately selecting services and effectively balancing the trade-off between incorrect and missed selections.

Discussion
The BiT model proposed in this paper demonstrates strong potential for improving long-term care plan recommendations by leveraging bipartite graph modeling and graph SSL. This approach addresses the challenges of manual care planning, such as inefficiency, bias, and errors, by offering personalized and data-driven recommendations. While the model excels in common care items, its performance on rare or complex services could be enhanced with further refinement. These findings highlight the model's ability to provide scalable, AI-driven solutions to optimize care planning, though future research should explore its applicability across diverse healthcare settings and service types.

Conclusions
Compared to previous research, the novel model proposed in this article effectively learns latent topology in bipartite graphs and achieves superior recommendation performance. Our study demonstrates the applicability of SSL and graph transformers in recommending long-term care plans for older adults with disabilities.
Commentary on ‘Structural insights into a bacterial β-glucosidase capable of degrading sesaminol triglucoside to produce sesaminol: towards the understanding of the aglycone recognition mechanism by the C-terminal lid domain’
Authors: Nagae Masamichi 
Published: January 2025

Abstract
Sesaminol is an organic compound that shows the strong antioxidant, anti-inflammatory and neuroprotective properties. Sesaminol triglucoside (STG) is a glycosylated form of sesaminol and abundantly exists in sesame seeds. However, typical β-glucosidases could not deglycosylate STG probably due to its bulky aglycone. PSTG1 and 2 are β-glucosidases lately isolated from Paenibacillis sp. KB0459 and have the capacity to deglycosylate STG. A recent report by Yanai et al. (J. Biochem. 2023; 174:335–344) revealed the unique domain architecture of PSTG1. Apart from other β-glucosdasies in the GH3 family, PSTG1 has a novel accessary domain (domain 4) at the C-terminus. Domain 4 contributes to the dimer formation and is located close to the active site. Interestingly, several hydrophobic residues are exposed, suggesting that this domain may recognize the hydrophobic aglycone of STG. The physiological functions of the non-catalytic domains in glyco-enzymes are sometimes overlooked. This paper sheds light on the aglycone recognition by novel accessary domain.
In the Company of Strangers: Social Influence from Anonymous Peers in Online Game Settings
Authors: Jo Wooyong , Sunder Sarang , Choi Jeonghye , Trivedi Minakshi 
Published: January 2025

Abstract
Social interactions among consumers, especially in the consumption of digital goods, have become commonplace in an increasingly interconnected marketplace. As such, understanding the impact of such interactions on consumer behavior carries major academic and practitioner significance. This research focuses on an important but under-researched aspect of social influence and the underlying mechanisms that may be driving peer effects. Using the context of a massive online peer-to-peer game, we estimate peer effects arising from anonymous peers. The findings suggest a robust and significant influence of anonymous peers on one’s own purchase behavior. Further, we find that peer effects arising from anonymous peers are largely driven by informational reasons as opposed to competitive concern even in a competitive online gaming context. That is, players rely on others’ purchase decisions despite anonymity; moreover, such influence is more pronounced for inexperienced players with little contextual knowledge. To demonstrate the effectiveness of leveraging the nature of peer influence in online game settings, we provide an illustrative example using an intervention simulation. Finally, we discuss the implications of our findings for marketing academia and practitioners in the video game industry.
Predatory capacity of Lasioseius lindquisti (Acari: Blattisociidae) and Lasioseius scapulatus (Acari: Blattisociidae) on Megalurothrips usitatus (Thysanoptera: Thripidae)
Authors: Zhu Yilin , Chi Yuanming , Yu Chen , Feng Mingyue , Li Maoqing , Chen Yanyu , Shi Wangpeng 
Published: January 2025

Abstract
Megalurothrips usitatus (Bagnall) (Thysanoptera: Thripidae) is an important pest of cowpeas, Vigna unguiculata (L.) Walp., and can cause severe damage to the crop. Lasioseius lindquisti (Tseng) (Acari: Blattisociidae) and Lasioseius scapulatus (Kennett) (Acari: Blattisociidae) are 2 mites used against M. usitatus in Hainnan, China. The functional responses of these mites were examined in the laboratory. Lasioseius lindquisti showed a type III functional response, with a maximum prey consumption of 22.38 ± 0.63 per day. Its optimal search density for each unit in this experiment was 10.27 ± 0.50 per day. Lasioseius scapulatus showed a type II functional and an attack rate on 1st instars of M. usitatus of 0.83 ± 0.23. The handling time (h) of L. scapulatus was 0.074 ± 0.018 (means ± SE), while the maximum attack rate (T/Th) of adult females on 1st instar thrips was 13.51. Our results showed that both L. lindquisti and L. scapulatus are potentially useful predators of M. usitatus.
Research on the multiscale mechanical properties of paleosols based on the freeze‒thaw cycle
Authors: Guo Zhuang , Song Jia , Bai Yang , Zhou Zihao 
Published: January 2025

ABSTRACT
To study the failure mechanism of paleosol landslides, taking the paleosol of a landslide body in Yan'an as an example, scanning electron microscopy (SEM), nuclear magnetic resonance (NMR), and conventional triaxial tests were used to obtain particle composition, microstructure scanning results, T2 spectral distribution, and stress-strain curves under different freeze-thaw cycles. The results showed that with the increase of freeze-thaw cycles, the number of micropores in paleosol increased to 70.5% and stabilized, while the number of micropores decreased to 18.4%, mesopores decreased to 7.5%, macropores decreased to 3.6%, and eventually stabilized. The fractal dimension of pore shape distribution in paleosol increases along a convex curve to 1.42. The T2 spectrum presents three stepped small peaks, with the peak spectral area of relaxation time ranging from 0.01 ms to 3.16 ms being the largest, indicating that small pores dominate. As the number of freeze-thaw cycles increases, the peak area of smaller relaxation times expands, indicating that freeze-thaw cycles have destroyed the structure of paleosols and generated a large number of tiny pores. Under conditions of higher confining pressure and lower moisture content, when there are fewer freeze-thaw cycles, the strain corresponds to higher stress. The freeze-thaw cycle makes the stress-strain curve of paleosol harder, indicating that the original structure is damaged and the new structure appears as disordered particles.
The conserved lysine residue in transmembrane helix 5 is pivotal for the cytoplasmic gating of the L-amino acid transporters
Authors: Fort Joana , Nicolàs-Aragó Adrià , Maggi Luca , Martinez-Molledo Maria , Kapiki Despoina , González-Novoa Paula , Gómez-Gejo Patricia , Zijlstra Niels , Bodoy Susanna , Pardon Els , Steyaert Jan , Llorca Oscar , Orozco Modesto , Cordes Thorben , Palacín Manuel 
Published: January 2025

Abstract
L-Amino acid transporters (LATs) play a key role in a wide range of physiological processes. Defects in LATs can lead to neurological disorders and aminoacidurias, while the overexpression of these transporters is related to cancer. BasC is a bacterial LAT transporter with an APC fold. In this study, to monitor the cytoplasmic motion of BasC, we developed a single-molecule Förster resonance energy transfer assay that can characterize the conformational states of the intracellular gate in solution at room temperature. Based on combined biochemical and biophysical data and molecular dynamics simulations, we propose a model in which the conserved lysine residue in TM5 supports TM1a to explore both open and closed states within the cytoplasmic gate under apo conditions. This equilibrium can be altered by substrates, mutation of conserved lysine 154 in TM5, or a transport-blocking nanobody interacting with TM1a. Overall, these findings provide insights into the transport mechanism of BasC and highlight the significance of the lysine residue in TM5 in the cytoplasmic gating of LATs.
Surfacic networks
Authors: Barthelemy Marc , Boeing Geoff , Chiaradia Alain , Webster Christopher J 
Published: January 2025

Abstract
Surfacic networks are structures built upon a 2D manifold. Many systems, including transportation networks and various urban networks, fall into this category. The fluctuations of node elevations imply significant deviations from typical plane networks and require specific tools to understand their impact. Here, we present such tools, including lazy paths that minimize elevation differences, graph arduousness which measures the tiring nature of shortest paths (SPs), and the excess effort, which characterizes positive elevation variations along SPs. We illustrate these measures using toy models of surfacic networks and empirically examine pedestrian networks in selected cities. Specifically, we examine how changes in elevation affect the spatial distribution of betweenness centrality. We also demonstrate that the excess effort follows a nontrivial power law distribution, with an exponent that is not universal, which illustrates that there is a significant probability of encountering steep slopes along SPs, regardless of the elevation difference between the starting point and the destination. These findings highlight the significance of elevation fluctuations in shaping network characteristics. Surfacic networks offer a promising framework for comprehensively analyzing and modeling complex systems that are situated on or constrained to a surface environment.
Child Rights in Practice: Navigating Beyond Definitions of Child Labour in Bangladesh’s Legal Landscape
Authors: Alam Md. Tasnvir 
Published: January 2025

Abstract
This study explores the intricate legal landscape that governs child labour in Bangladesh, tracing its historical roots to British colonial rule and highlighting the prevalence of conflicting definitions and provisions within the current legal system. Through qualitative research methods, including key informant interviews and in-depth interviews, this study delves into the multifaceted dimensions of child labour regulation in Bangladesh. The findings reveal discrepancies in understanding among stakeholders, and family members often citing poverty and illiteracy as barriers to understanding legal provisions. In contrast, employers demonstrate varying degrees of awareness, particularly following encounters with law enforcement agencies. Legal experts advocate for a universal definition of childhood in statutory law to address this complexity effectively. Furthermore, the study uncovers widespread ignorance and misinformation about the age verification process for child labourers, along with prevalent instances of document forgery and lenient age verification processes. Most importantly, the dynamics of the penalty system for child labour violations also reveal divergent perspectives among stakeholders, highlighting the need for comprehensive reforms in statutory law, including amendments to definitions, implementation of stringent age verification processes, and increased penalty thresholds.
Raman Spectroscopies for Cancer Research and Clinical Applications: a Focus on Cancer Stem Cells
Authors: Pagliari Francesca , Tirinato Luca , Di Fabrizio Enzo 
Published: January 2025

Abstract
Over the last two decades, research has increasingly focused on Cancer Stem Cells (CSCs), considered responsible for tumor formation, resistance to therapies, and relapse. The traditional "static" CSC model used to describe tumor heterogeneity has been challenged by the evidence of CSC dynamic nature and plasticity. A comprehensive understanding of the mechanisms underlying this plasticity, and the capacity to unambiguously identify cancer markers to precisely target CSCs are crucial aspects for advancing cancer research and introducing more effective treatment strategies. In this context, Raman spectroscopy (RS) and specific Raman schemes, including CARS, SRS, SERS, have emerged as innovative tools for molecular analyses both in vitro and in vivo. In fact, these techniques have demonstrated considerable potential in the field of cancer detection, as well as in intraoperative settings, thanks to their label-free nature and minimal invasiveness. However, the RS integration in pre-clinical and clinical applications, particularly in the CSC field, remains limited.
This review provides a concise overview of the historical development of RS and its advantages. Then, after introducing the CSC features and the challenges in targeting them with traditional methods, we review and discuss the current literature about the application of RS for revealing and characterizing CSCs and their inherent plasticity, including a brief paragraph about the integration of artificial intelligence with RS.
By providing the possibility to better characterize the cellular diversity in their microenvironment, RS could revolutionize current diagnostic and therapeutic approaches, enabling early identification of CSCs and facilitating the development of personalized treatment strategies.
Biosensor characterization: formal methods from the perspective of proteome fractions
Authors: Vaccari Nicolás A , Zevallos-Aliaga Dahlin , Peeters Tom , Guerra Daniel G 
Published: January 2025

Abstract
Many studies characterize transcription factors and other regulatory elements to control gene expression in recombinant systems. However, most lack a formal approach to analyse the inherent and context-specific variations of these regulatory components. This study addresses this gap by establishing a formal framework from which convenient methods are inferred to characterize regulatory circuits. We modelled the bacterial cell as a collection of proteome fractions. Deriving the time-dependent proteome fraction, we obtained a general theorem that describes its change as a function of its expression fraction, a specific portion of the total biosynthesis flux of the cell. Formal deduction reveals that when the proteome fraction reaches a maximum, it becomes equivalent to its expression fraction. This equation enables the reliable measurement of the expression fraction through direct protein quantification. In addition, the experimental data demonstrate a linear correlation between protein production rate and specific growth rate over a significant time period. This suggests a constant expression fraction within this window. For an Isopropyl β- d-1-thiogalactopyranoside (IPTG) biosensor, in five cellular contexts, expression fractions determined by the maximum method and the slope method produced strikingly similar dose–response parameters when independently fit to a Hill function. Furthermore, by analysing two more biosensors, for mercury and cumate detection, we demonstrate that the slope method can be applied effectively to various systems. Therefore, the concepts presented here provide convenient methods for obtaining dose–response parameters, clearly defining the time interval of their validity and offering a framework for interpreting typical biosensor outputs in terms of bacterial physiology.
Graphical Abstract Nutrients, transformed by the action of the Nutrient Fixators (purple arrow), are used at a rate of ρ for Protein biosynthesis. The total rate ρ is multiplied by expression fractions fR, fC, fH, and fQ to obtain the biosynthesis rate (black arrows) of each proteome fraction ΦR, ΦC, ΦH, ΦQ, respectively. In a graph of Growth rate versus Proteome Fraction Production Rate, a linear function (green lines) can be observed, and its slope is equal to the expression fraction at each condition.
The impact of state income tax breaks on savings and income security in retirement
Authors: Dao Ngoc , Collins J Michael 
Published: January 2025

Abstract
State policies exempting retirement income from taxation have the potential to change how people save and spend down their savings in retirement. Using Social Security earnings records linked to the Health and Retirement Survey, this study shows people in states with income tax exemptions on retirement income increase in contributions to tax-deferred retirement accounts. While people in these states accumulate more savings in expectation of being able to increase income in retirement without incurring higher state income taxes, they do not have more income in retirement, either pre- or post-income taxes. Seniors in exemption states relative to seniors in other states do not have lower rates of hardship or show higher standards of living, although they tend to retire slightly earlier. These findings suggest that exempting retirement income from taxation may not improve people’s economic well-being in their retirement years.