bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does the Catch-up contribution policy improve retirement preparedness?
Authors: Dao Ngoc , Rao Manita 
Published: December 2024

Abstract
Over a quarter of U.S. adults are expected to retire in the coming decade, retirees with inadequate savings could face financial difficulties including having to rely on public welfare during retirement. Amid the rapid aging of the U.S. population, this article examines the causal effect of the Catch-up Contribution provision introduced in 2001 on retirement assets and nonretirement savings. We investigate the expectation that incentives for policy response vary by household income and if the policy led to crowd out of nonretirement household savings. The article uses data from the Survey of Consumer Finance from 1995 to 2016. We estimate the average and heterogenous treatment effects of the policy on retirement preparedness using triple difference-in-differences models. We find that the Catch-up Contribution provision increased contributions among middle- and high-income households, although low- and moderate-income also benefited from higher retirement assets. In addition, we find no evidence of crowd out of nonretirement savings, suggesting that the Catch-up Contribution provision was welfare-enhancing.
Pharmacological interventions for patients with chronic primary musculoskeletal pain: disparity between synthesized evidence and real-world clinical practice
Authors: Koechlin Helen , Werdelis Cedric , Barke Antonia , Korwisi Beatrice , von Känel Roland , Wagner Julia , Locher Cosima 
Published: December 2024

Introduction:
Chronic primary musculoskeletal pain (CPMP) poses a major problem of public health, with high prevalence rates and economic burden. There is a wealth of clinical trials examining pharmacological interventions for patients with CPMP. Nevertheless, evidence from such trials does not necessarily mirror clinical realities.

Objectives:
We aimed to compare data sets from a clinical sample with an randomized controlled trial (RCT)-based sample.

Methods:
Both data sets included participants living with CPMP who received pharmacological interventions. The clinical sample was retrieved from electronic health records. The RCT-based sample stemmed from a network meta-analysis project. The following outcomes were used: demographic information, diagnosis-specific data, and pharmacological interventions (categorized according to the World Health Organization [WHO] analgesic ladder).

Results:
The clinical sample consisted of 103 patients (mean age: 50.25 years; SD: 14.0) and the RCT-based samples contributed 8665 participants (mean age: 51.97 years; SD: 6.74). In both samples, the proportion of women was higher than that of men (ie, 74.8% vs 58.9%). Psychiatric disorders were the most common comorbidities in the clinic sample but also the most frequent reason for patient exclusion in RCTs. The 2 samples differed significantly in medication classified as WHO III (clinical sample: 12.9%; RCT sample: 23.5%; P = 0.023) and WHO IV (clinical sample: 23.4%; RCT sample: 8.6%; P < 0.001), yet not WHO I and II.

Conclusion:
Our findings suggest a disparity between research-based study populations and clinical populations with CPMP. We advocate for future investigations on how to implement robust scientific evidence into real-world clinical practice, with a particular focus on addressing psychiatric comorbidities.
Vertex Augmentation With Hyaluronic Acid Filler: A Novel Technique for Height Enhancement and Cephalic Contouring
Authors: Wan Jovian , Kim Soo-Bin , Wan Park Jung , Yoon Song Eun , Cerón Bohórquez Jair Mauricio , Haykal Diala , Velthuis Peter J. , Pamela Ruri , Frank Konstantin , Yi Kyu-Ho 
Published: December 2024

Height augmentation and cephalic contouring using hyaluronic acid (HA) fillers represent an innovative approach in minimally invasive aesthetic medicine. This study introduces a novel technique for vertex augmentation, leveraging cross-linked HA fillers to achieve subtle height enhancement and cephalic contouring. A 42-year-old male patient seeking non-surgical height augmentation underwent vertex injections with 15 ml of HA filler (e.p.t.q. eve X, Jetema Inc., Seoul, Republic of Korea), using a multidirectional spreading technique under local anesthesia. The procedure resulted in an immediate and sustained 1.2 cm height increase with no adverse effects at a 6-month follow-up. The vertex’s low vascularity and favorable anatomic features minimized complications and enhanced safety. This method also holds potential for cephalic contouring in female patients, providing subtle cranial volume for aesthetic purposes. The findings highlight the adaptability of HA fillers beyond traditional facial applications, offering a safe, effective alternative to surgical interventions. Further studies are encouraged to validate long-term outcomes and expand patient applicability.
Uterine Transplant Optimization From a Preclinical Donor Model With Controlled Cardiocirculatory Arrest
Authors: Loiseau Emma , Mesnard Benoit , Bruneau Sarah , De Sousa Carla , Bernardet Stéphanie , Hervouet Jeremy , Minault David , Levy Stephan , Le Gal Antoine , Dion Ludivine , Blancho Gilles , Lavoue Vincent , Branchereau Julien 
Published: December 2024

Background.
Uterus transplantation from deceased donors offers a promising solution to the organ shortage, but optimal preservation methods are crucial for successful outcomes. Our primary objective is to conduct an initial assessment of the contribution of oxygenated hypothermic perfusion in uterine transplantation.

Methods.
We performed a preclinical study on a porcine model of controlled donation after circulatory death (60 min warm ischemia). Ten uterus grafts were preserved for 12 h using static cold storage or hypothermic machine perfusion (VitaSmart device, perfusion pressure at 15 mm Hg). Subsequently, they were reperfused using ex vivo normothermic machine perfusion (Liverassist, perfusion pressure at 30 mm Hg) with oxygenated autologous blood to assess early ischemia/reperfusion injury. Not only resistance index assessment and oxygenation evaluation but also immunochemistry and gene expression analysis were performed.

Results.
This study demonstrates the feasibility of using hypothermic machine perfusion for uterine graft preservation, showing improvements in reperfusion capacity (decrease of resistance indexes; P < 0.0001) and tissue oxygenation (higher oxygen level) compared with static cold storage.

Conclusions.
These findings provide valuable insights for further research and refinement of uterine transplantation procedures.
Evaluating the utility of amino acid similarity-aware kmers to represent TCR repertoires for classification
Authors: Kockelbergh Hannah , Evans Shelley C. , Brierley Liam , Green Peter L. , Jorgensen Andrea L. , Soilleux Elizabeth J. , Fowler Anna 
Published: December 2024

AbstractInsights gained through interpretation of models trained on the T-cell receptor (TCR) repertoire to infer presence of immune-mediated conditions could contribute to advances in understanding of disease. This may lead to improved diagnostic tests and treatments for immune-mediated conditions, particularly autoimmune diseases. However, TCR repertoire datasets with known autoimmune disease status labels generally include orders of magnitude fewer samples than TCR sequences. Promising TCR repertoire classification approaches consider relationships between non-identical TCR sequences. In particular, kmer methods demonstrate strong and stable performance for small datasets. We propose a TCR repertoire representation that consider the relationships between amino acids within kmers in a flexible and efficient manner, which is evaluated in comparison to existing methods. XGBoost models are trained and tested on kmer representations of TCR repertoire datasets including samples from patients with coeliac disease as well as participants with previous cytomegalovirus infection. We show that kmers that use small representative alphabets of amino acids are capable of training models that perform similarly or better than kmers based on all 20 amino acids. We find that, for cytomegalovirus infection status classification, defining amino acid relationships using BLOSUM62 can lead to a model with stronger performance as compared to an Atchley factor definition. Finally, we detail kmers or motifs which are important in each classification model and highlight the challenge of training truly interpretable TCR repertoire classification models which, if overcome, could lead to biomarker discovery for autoimmune diseases.Author summaryTCR repertoire classification models are likely to provide valuable understanding of autoimmune diseases if they can accurately infer autoimmune disease status and are biologically interpretable. Based on a kmer representation of the TCR repertoire, which has been shown to be most appropriate to train classification models on smaller datasets such as those available with autoimmune disease status labels, we investigate whether incorporating amino acid relationships improves capability of classification models to make inferences about immune status, but also consider its effect on interpretability. We find that most of the 4mer-based feature types we tested perform well in combination with an XGBoost model, where some small benefit may be gained by applying a greatly-reduced alphabet of amino acids based on BLOSUM62 for cytomegalovirus serostatus classification. Our proposed reduced alphabet methodology is an alternative to kmer clustering which allows more efficient exploration of amino acid relationships and results in a more interpretable feature space.
Mobile Human Brain Imaging using Functional Ultrasound
Authors: Soloukey Sadaf , Verhoef Luuk , Mastik Frits , Brown Michael , Springeling Geert , Generowicz Bastian S. , Satoer Djaina D. , Dirven Clemens M.F. , Smits Marion , Hunyadi Borbála , Koekkoek Sebastiaan K.E. , Vincent Arnaud J.P.E. , De Zeeuw Chris I. , Kruizinga Pieter 
Published: December 2024

AbstractImagine being able to study the human brain in real-world scenarios while the subject displays natural behaviors such as locomotion, social interaction, or spatial navigation. The advent of ultrafast ultrasound imaging brings us closer to this goal with functional Ultrasound imaging (fUSi), a new mobile neuroimaging technique. Here, we present real-time fUSi monitoring of brain activity during walking in a subject with a clinically approved sonolucent skull implant. Our approach utilizes personalized 3D-printed fUSi-helmets for stability, optical tracking for cross-modal validation with fMRI, advanced signal processing to estimate hemodynamic responses and facial tracking of a lick licking paradigm. These combined efforts allowed us to show consistent fUSi signals over 20 months, even during high-motion activities like walking. These results demonstrate the feasibility of fUSi for monitoring brain activity in real-world contexts, marking an important milestone for fUSi-based insights in clinical and neuroscientific research.
Cerebrospinal Fluid Flow within Ventricles and Subarachnoid Space Evaluated by Velocity Selective Spin Labeling MRI
Authors: Wu Yihan , Xu Feng , Zhu Dan , Li Anna , Wang Kexin , Qin Qin , Xu Jiadi 
Published: December 2024

AbstractThis study aims to evaluate cerebrospinal fluid (CSF) flow dynamics within ventricles, and the subarachnoid space (SAS) using the velocity selective spin labeling (VSSL) MRI method with Fourier-transform-based velocity selective inversion preparation. The study included healthy volunteers who underwent MRI scanning with specific VSSL parameters optimized for CSF flow quantification. The VSSL sequence was calibrated against phase-contrast MRI (PC-MRI) to ensure accurate flow velocity measurements. The CSF flow patterns observed in the ventricles were consistent with those obtained using 3D amplified MRI and other advanced MRI techniques, verifying the reliability of the VSSL method. The VSSL method successfully measured CSF flow in the SAS along major arteries, including the middle cerebral artery (MCA), anterior cerebral artery (ACA), and posterior cerebral artery (PCA), with an average flow velocity of 0.339 ± 0.117cm/s. The diffusion component was well suppressed by flow-compensated gradients, enabling comprehensive mapping of the rapid CSF flow pattern in the SAS system and ventricles. The flow pattern in the SAS system closely resembles the recently discovered perivascular subarachnoid space (PVSAS) system. CSF flow around the MCA, PCA, and ACA arteries in the SAS exhibited a weak orientation dependency. CSF flow in the ventricles was also measured, with an average flow velocity of 0.309 ± 0.116cm/s, and the highest velocity observed along the superior-inferior direction. This study underscores the potential of VSSL MRI as a non-invasive tool for investigating CSF dynamics in both SAS and ventricles.
The mindful route to ownership: sequential mediating effect of meaningful work
Authors: Saini Garima , Dash Sanket Sunand 
Published: December 2024

Purpose
The study aims to investigate the trait-based roots of psychological ownership (PO) and explores the work-related mechanisms through which individual traits manifest in organizationally relevant forms of PO. It identifies trait mindfulness as a distal antecedent of organization-based and job-based PO with meaningful work mediating the relationship.

Design/methodology/approach
The hypotheses were developed using the mindfulness-to-meaning theory and tested using a three-wave design on 220 full-time employed professionals.

Findings
The data was analyzed using partial least squares structural equation modeling 4.0 predicting trait mindfulness is positively associated with organization-based PO and job-based PO. All the hypotheses were supported except relational transparency acting as a moderator.

Originality/value
The results are discussed in light of the genesis of PO in the philosophy of existentialism. The source of meaning is identified as a possible new antecedent category for all forms of PO.
Understanding the dynamics of Muslim consumer behavior: unraveling the threads of awareness, perception, and purchasing intentions
Authors: Bansal Manmohan , Kumar Mohnish , Sharma Somesh , Afzal Anam 
Published: December 2024

Purpose
This study aims to investigate and understand the purchasing intentions and behaviors of Indian Muslim consumers toward halal products. Specifically, it seeks to explore how consumer awareness, perceptions and attitudes influence the purchasing intentions of Indian Muslim consumers regarding halal items.

Design/methodology/approach
Data were collected via a self-questionnaire from consumers of halal products in India, with a sample of 550 consumers. This study used a structural equation model technique to analyze these data.

Findings
The descriptive analysis demonstrated high religious awareness, positive perceptions, favorable attitudes, strong intentions to purchase and corresponding buying behavior among respondents. Structural equation modeling validated the proposed model, with goodness-of-fit indices falling within acceptable ranges. Significant relationships were found between religious awareness, attitude and purchase intention. There was no apparent connection between perception and purchase intention.

Practical implications
The study contributes insights for businesses and policymakers striving to accommodate distinct requirements and inclinations of Muslim consumers in India, emphasizing the importance of targeted marketing and educational initiatives.

Originality/value
This study may be the first to examine consumers’ purchasing habits for halal products in India’s retail market. The study’s conclusions are significant for Islamic and halal product marketing.
The moderating effect of halal certification awareness on farmers’ behaviour for halal rice: an extended theory of planned behaviour
Authors: Yaumidin Umi Karomah , Yuliana Chitra Indah , Soesilowati Endang S. , Hidayatina Achsanah , Mulyaningsih Yani , Bakti I Gede Mahatma Yuda , Oelviani Renie , Adiyoga Witono , Purwanto Purwanto , Sihombing Yennita , Malik Farmawaty 
Published: December 2024

Purpose
The Indonesian Government demanded that all beverages and food products, including rice, be halal-certified. Farmers play a crucial role in the rice halal certification procedures. The purpose of this study is to investigate the factors influencing farmers’ intentions and behaviours towards halal rice production.

Design/methodology/approach
Partial least squares–structural equation modelling was used to analyse survey data collected from 278 rice farmers in Indonesia.

Findings
This study indicates that farmers’ intentions and perceived behavioural control have a favourable and significant impact on their behaviours towards halal rice farming. Importantly, halal certification awareness can operate as a moderator to improve the effects of attitude on farmers’ intentions to comply with halal requirements in rice production.

Practical implications
This study’s results hold significant practical implications for stakeholders interested in encouraging farmers to purchase halal-certified rice seeds and sell paddy to halal-certified rice milling companies. Efforts to improve farmers’ knowledge and awareness of halal certification include organising halal certification courses, creating a supportive social environment, sharing farmers’ success stories and establishing support mechanisms to assist farmers in incorporating halal concepts into their businesses.

Originality/value
Research on halal certification from producers’ perspectives, particularly among farmers, remains limited. This study addresses this gap by exploring farmers’ behaviours towards halal rice production and contributing insights for stakeholders interested in promoting halal rice certification.
Flying books: a new frontier of mobile libraries in the era of Fifth Industrial Revolution (5IR)
Authors: Ajani Yusuf Ayodeji , Danmaigoro Fatimoh , Ilori Olufemi Olubunmi , Onanuga Ayotola Olubunmi , Amaechi Nkechi Margaret , Ishola Shehu Olanrewaju , Onyebinama Colette Ogugua 
Published: December 2024

Purpose
The purpose of this study is to explore how drone technology can enhance the reach and efficiency of mobile library services, particularly in remote and underserved areas. It aims to evaluate the potential of drones in overcoming traditional access barriers, improving resource distribution and fostering greater community engagement through advanced service delivery mechanisms.

Design/methodology/approach
The study uses a qualitative approach to explore the integration of drone technology in mobile library services, framed within the context of the Fifth Industrial Revolution (5IR). Drawing literature from databases such as Google Scholar, ResearchGate and Scopus, it also presents a case study of drone-enabled library services implemented in rural communities of Nigeria. The study focuses on the practical aspects of drone deployment, the impact on underserved communities and the challenges faced, offering insights into the logistical and operational dynamics of this innovative service model.

Findings
The study reveals that drone technology significantly improves access to library resources, particularly in hard-to-reach and disaster-prone areas. Drones offer an eco-friendly, cost-effective alternative to conventional mobile libraries, cutting operational costs by 60% and reducing delivery times by 40%. Despite these advantages, the implementation process encountered challenges such as financial sustainability, community skepticism and the need for specialized staff training.

Originality/value
The study contributes to the evolving discourse on mobile library innovations, positioning drones as a practical and sustainable solution for expanding library services in the 5IR era. It provides new perspectives on the logistical, social and environmental benefits of drone-enabled libraries, emphasizing their potential to enhance digital literacy, aid in disaster recovery and build stronger community connections.
Simultaneous impact of build orientation on mechanical properties, geometrical measurements and surface roughness in material extrusion manufacturing
Authors: Greco Alessandro , Russo Mario Brandon , Gerbino Salvatore 
Published: December 2024

Purpose
This paper aims to investigate how the build orientation simultaneously affects the tensile properties, geometrical measurements and surface roughness in material extrusion (MEX) produced parts.

Design/methodology/approach
An extensive experimental campaign was designed and carried out to elucidate the relationship between the rotation angles (input), defining the part orientation within the build volume, and the (output) variables measured by using 3D models reconstruction, roughness tester and tensile testing machine. Response surface methodology is used to capture the trend of each output relative to the input, while principal component analysis is used to identify relationships among outputs, providing a holistic understanding of how build orientation simultaneously influences mechanical properties, geometrical measurements and surface characteristics.

Findings
The study reveals that build orientation significantly affects nearly all output variables, with a pronounced dependency on the out-of-plane rotation angle. A key finding is the inverse correlation between mechanical strength and both geometrical measurements and surface roughness. This indicates that optimizing build orientation can enhance mechanical strength while minimizing geometrical defects.

Originality/value
This research, a newer addition to the existing literature, contributes to the field of additive manufacturing (AM) by offering an innovative analysis of the interaction between mechanical properties, geometric precision and surface roughness in relation to build orientation. It enhances the understanding of MEX processes and provides valuable insights into optimizing build orientation, thereby improving the competitiveness of AM over traditional production methods.
Females With Axial Spondyloarthritis Have Longer Diagnostic Delay and Higher Burden of the Disease. Results From the International Map of Axial Spondyloarthritis (IMAS)
Authors: Navarro‐Compán Victoria , Garrido‐Cumbrera Marco , Poddubnyy Denis , Bundy Christine , Makri Souzi , Correa‐Fernández José , Akerkar Shashank , Lowe Jo , Karam Elie , Sommerfleck Fernando 
Published: December 2024

ABSTRACTBackgroundTo assess gender differences in a large sample of patients included in the International Map of Axial Spondyloarthritis (IMAS) study from around the globe.MethodIMAS is a cross‐sectional online survey (2017–2022) of 5557 unselected axSpA patients from 27 countries. The current analysis assessed differences between males and females for: sociodemographic, health behaviors, disease characteristics, patient‐reported outcomes, mental comorbidities, and treatments. Univariable and multivariable logistic regression analysis was used to evaluate the relationship between gender and disease characteristics, patient‐reported outcomes, comorbidities, and treatments.ResultsData from 5555 patients reporting gender were analyzed: 3492 from Europe, 769 from North America, 600 from Asia, 548 from Latin America, and 146 from Africa. Globally, 55.4% were females, with higher proportions in South Africa (82.2%) and lower in Asia (20.8%). Compared to males, a lower percentage of females smoked and consumed alcohol. The diagnostic delay was significantly longer (+2.4 years) in females, while the frequency of HLA‐B27 positivity of axSpA was lower in females. The use of axSpA pharmacological treatment was more common in females with a higher proportion having ever taken nonsteroidal anti‐inflammatory drugs (NSAIDs), conventional synthetic DMARDs (csDMARDs), and biologic DMARDs (bDMARDS).ConclusionsIdentifying the specific disease characteristics associated with gender in patients with axSpA may help to improve the diagnosis and management of the disease, and thereby reduce the disease burden for patients around the world.