bluuebunny/crossref_metadata_2025_split huggingface dataset:
Severe Central Nervous System Demyelination in Sanfilippo Disease
Authors: Taherzadeh Mahsa , Zhang Erjun , Londono Irene , Song Sheng-Kwei , Wang Sophie , Cooper Jonathan D. , Kennedy Timothy E. , Morales Carlos R. , Chen Zesheng , Lodygensky Gregory A. , Pshezhetsky Alexey V. 
Published: April 2023

AbstractNeurodegeneration and chronic progressive neuroinflammation are well-documented in neurological lysosomal storage diseases, including Sanfilippo disease or mucopolysaccharidosis III (MPS III). Since chronic neuroinflammation has been linked to white matter tract pathology and defects in axonal transmission, we analysed axonal myelination and white matter density in the mouse model of MPS IIIC and human post-mortem brain samples from MPS IIIA, C, and D patients. Analyses of corpus callosum (CC) and spinal cord tissues by immunohistochemistry revealed substantially reduced levels of myelin-associated proteins including Myelin Basic Protein, Myelin Associated Glycoprotein, and Myelin Oligodendrocyte Glycoprotein. Furthermore, ultrastructural analyses revealed disruption of myelin sheath organization and reduced myelin thickness in the brains of MPS IIIC mice and human MPS IIIC patients compared to healthy controls. Oligodendrocytes (OLs) in the CC of MPS IIIC mice were scarce, while examination of the remaining cells revealed numerous enlarged lysosomes containing heparan sulfate, GM3 ganglioside or “zebra bodies” consistent with accumulation of lipids and myelin fragments. In addition, OLs contained swollen mitochondria with largely dissolved cristae, resembling those previously identified in the dysfunctional neurons of MPS IIIC mice. When brains of 7-month-old MPS IIIC mice were analysed by ex-vivo Diffusion Basis Spectrum Imaging to assess microarchitectural changes in the corpus callosum, we found compelling signs of demyelination (26% increase in radial diffusivity) and tissue loss (76% increase in hindered diffusivity). Our findings demonstrate an import role for white matter injury in the pathophysiology of MPS III. Moreover, this study reveals specific parameters and brain regions for MRI analysis, a crucial non-invasive method to evaluate disease progression and therapeutic response in neurological lysosomal storage diseases.
Embryo mechanics cartography: inference of 3D force atlases from fluorescence microscopy
Authors: Ichbiah Sacha , Delbary Fabrice , McDougall Alex , Dumollard Rémi , Turlier Hervé 
Published: April 2023

AbstractThe morphogenesis of tissues and embryos results from a tight interplay between gene expression, biochemical signaling and mechanics. Although sequencing methods allow the generation of cell-resolved spatio-temporal maps of gene expression in developing tissues, creating similar maps of cell mechanics in 3D has remained a real challenge. Exploiting the foam-like geometry of cells in embryos, we propose a robust end-to-end computational method to infer spatiotemporal atlases of cellular forces from fluorescence microscopy images of cell membranes. Our method generates precise 3D meshes of cell geometry and successively predicts relative cell surface tensions and pressures in the tissue. We validate it with 3D foam simulations, study its noise sensitivity, and prove its biological relevance in mouse, ascidian andC. elegansembryos. 3D inference allows us to recover mechanical features identified previously, but also predicts new ones, unveiling potential new insights on the spatiotemporal regulation of cell mechanics in early embryos. Our code is freely available and paves the way for unraveling the unknown mechanochemical feedbacks that control embryo and tissue morphogenesis.
Consumers' reverse exchange behavior and e-waste recycling to promote sustainable post-consumption behavior
Authors: Sabbir Md. Mahiuddin , Taufique Khan Md. Raziuddin , Nomi Marzia 
Published: April 2023

PurposeThis study aims to have a holistic understanding of psychological determinants of consumers' e-waste recycling behavior to promote sustainable post-consumption behavior through end-of-life electronic products exchange (EEPE) program.Design/methodology/approachThe study integrated additional cognitive and noncognitive factors within the Theory of Planned Behavior. Data were collected from 334 participants who were purposively recruited from well-known online retailers in an emerging market, with the data analyzed using structural equation modeling.FindingsThe results provide some fresh insights, such as the significant positive influence of recycling habits, economic benefits and attitudes toward nudging on EEPE, with a distinct serial mediation link from recycling habits to EEPE behavior.Practical implicationsThis study highlights some relevant sustainable marketing strategies including the integration of nudging and habits as behavioral interventions for promoting e-waste recycling.Originality/valueThe originality of this study relates to (1) testing the significance of nudging in promoting sustainable postconsumption behavior and (2) revealing a serial mediation effect of recycling habits on EEPE behavior via attitude toward e-waste recycling and EEPE intention.
Enhancing supply chain resilience with supply chain governance and finance: the enabling role of digital technology adoption
Authors: Lu Qiang , Wang Xinyi , Wang Yu 
Published: April 2023

PurposeThis study aims to explore the impact of supply chain governance (SCG) on supply chain resilience (SCR) in China, as well as the mediating role of supply chain finance (SCF) and the moderating role of digital technology adoption (DTA).Design/methodology/approachBased on resource orchestration theory (ROT), this paper constructs a theoretical model to examine the influence of SCG on SCR. Employing data collected from 312 Chinese firms, multiple regression is conducted to test the theoretical hypotheses.FindingsThe results indicate that both relational governance (RG) and contractual governance (CG) significantly enhance SCR and SCF. In addition, SCF plays a mediating role in the relationship between SCG and SCR. The study also finds that DTA has a positive moderating effect on the relationship between SCG and SCF.Originality/valueFirst, based on ROT, this paper clarifies the nuanced driving effects of RG and CG on SCR. Second, SCF is introduced as an intermediary process between SCG and SCR, which reveals the inner mechanisms between SCG and SCR. Moreover, this study contributes to investigating the contingent role of DTA in the relationship between SCG and SCF.
Fraud and corruption in football: lessons from a survey of match-fixing in Cyprus
Authors: Krambia Kapardis Maria , Levi Michael 
Published: April 2023

Purpose
The purpose of this paper is to identify if fraud theory models suggested over the years are applicable to match-fixing and if so, whether the Krambia-Kapardis’ (2016) holistic fraud and corruption prevention model can be used to reduce significantly match-fixing in football.

Design/methodology/approach
An online survey was developed by the authors and was administered to football stakeholders in Cyprus, namely, players, referees, coaches and team management.

Findings
The research questions, who are the initiators of match-fixing, why is match-fixing taking place and what is the best way to prevent or reduce match-fixing, have been answered, and these findings have enabled the authors to make policy recommendations.

Research limitations/implications
The survey considered match-fixing in only one sport (football) while the number of respondent categories and the 335 usable questionnaires returned did not allow advanced statistical analysis of the data obtained.

Practical implications
The findings point to the need both for ethics and moral values to be installed in all the stakeholders through training and continuing education. It is also suggested that teams/clubs and related associations acting as regulators ought to implement governance principles and ethical programs, including whistleblowing lines and appoint integrity officers to minimize the match-fixing phenomenon. Furthermore, society, as well as government, sport regulators and sponsors, ought to encourage and demand fair play and integrity in sport through improved measures of governance and accountability and the implementation of ethical audits and public disclosure of audited financial statements of teams. Finally, sports integrity ought to be embedded in school curriculum from a very young age.

Originality/value
To the best of the authors’ knowledge, this is an original contribution to knowledge that has impact on the future of sporting fairness and social legitimacy.
Russia–Ukrainian war: measuring the intraday risk dynamics of energy futures contracts using VaR and CVaR
Authors: Banerjee Ameet Kumar 
Published: April 2023

PurposeThis paper investigates the influence of the ongoing crisis of Russia's incursion on Ukraine on the risk dynamics of energy futures contracts with high-frequency data on four different futures contracts using risk metrics of value at risk (VaR) and conditional value at risk (CVaR) for the USA market.Design/methodology/approachThe author used different generalised autoregressive conditional heteroscedasticity - Extreme Value Theory (GARCH)-EVT models and compared the performance of each of the competing models. Backtesting evidence shows that VaR and CVaR combined with GARCH-EVT better estimate risk.FindingsThe study results show that combined risk metrics are efficient and adaptive to estimating the risk dynamics and backtesting of the models, revealing that the autoregressive moving average (ARMA) (1,1)-asymmetric power autoregressive conditional heteroscedasticity (APARCH) model performs relatively better than other models.Practical implicationsThe paper has practical implications for different market participants. From the risk manager's and day traders' angles, the market participants can estimate the risk exposure in the energy futures contract and take positions accordingly. The results are important for oil-importing countries due to the developing supply crisis and price escalation, which can brew inflation in the economy.Originality/valueTo the best of the author's knowledge, the paper is the first to throw light on the risk angle of energy futures contracts during the ongoing crisis of the Russia–Ukraine war.
The influence of volunteering on Chinese firm reputation
Authors: Yu Jun , Liu Jieli , Xu Qin 
Published: April 2023

PurposeThis study empirically explores how firms configure the strength and the temporal and spatial features of corporate volunteering (CV) events to promote corporate reputation (CR).Design/methodology/approachUsing event system theory as a framework and applying fuzzy-set qualitative comparative analysis (fsQCA) to 385 firms and 2,783 public respondents, this study explores the configurational effects of five elements of CV events—employee engagement, customer engagement, meagre incentive, duration and scope of influence—on two types of CR: capability reputation (CAR) and character reputation (CHR).FindingsThe results indicate that (1) the impact of volunteering on CR is not only configurational in nature, but also characterised by equifinality (i.e. the presence of multiple paths to success); (2) with meagre incentive and in the absence of scope-of-influence support, long-term employee and customer engagement in CV is sufficient to achieve high CAR; (3) adequate and diverse incentives, high employee engagement and a sufficiently broad scope of influence work well with either high customer engagement or long duration to achieve high CAR and CHR, respectively; (4) there are identical configurations that can achieve high CAR and CHR.Originality/valueThis study contributes to the CV and CR literature by extending the application of event system theory to proactive events.
An analysis of policies, challenges and outcomes in Pakistan through co-creation of COVID-19 responses
Authors: Rizwan Aisha , Naveed Shabana , Salman Yaamina 
Published: April 2023

PurposeBased on the service eco-systems perspective, this paper evaluates the strategies and actions adopted by the Government of Pakistan to handle the COVID-19 crisis with the involvement of multiple actors including public, private, third-sector organizations and civil society.Design/methodology/approachThe paper is based on an in-depth analysis of secondary sources including research articles, policy documents, policy briefs, governmental reports, third party evaluations/reports and media publications.FindingsA multi-stakeholder approach was evident during the pandemic with an effort to better manage the crisis which has exerted immense social, cultural, economic and political impacts on the lives of the citizens. Collaborative efforts among stakeholders (government, private and third sector) were witnessed, resulting in a coherent response. The successful management of COVID-19 in Pakistan is attributed to multiple factors including the formation of a specialized public organization which effectively and proactively took data-driven informed decisions and aggregated the efforts of the federal and provincial governments for a timely response.Originality/valueThis paper gives insights for policymakers to create a sustainable post-pandemic socio-economic environment by building resilient structures across the government while promoting cooperation and collaboration. It suggests strategies for policymakers responsible for providing sustainable societal solutions to combat the social, economic and administrative challenges under the pandemic. As Pakistan has managed and contained the pandemic in a relatively efficient way, it is hoped that this paper can provide a learning experience for other countries with similar national contexts.
Effects of gas flow speed on bead geometry and optical emissions during laser powder bed fusion additive manufacturing
Authors: Stutzman Christopher , Przyjemski Andrew , Nassar Abdalla R. 
Published: April 2023

Purpose
Powder bed fusion processes are common due to their ability to build complex components without the need for complex tooling. While additive manufacturing has gained increased interest in industry, academia and government, flaws are often still generated during the deposition process. Many flaws can be avoided through careful processing parameter selections including laser power, hatch spacing, spot size and shielding gas flow rate. The purpose of this paper is to study the effect of shielding gas flow on vapor plume behavior and on final deposition quality. The goal is to understand more fully how each parameter affects the plume and deposition process.

Design/methodology/approach
A filtered-photodiode based sensor was mounted onto a commercial EOS M280 machine to observed plume emissions. Three sets of single tracks were printed, each with one of three gas flow rates (nominal, 75% nominal and 50% nominal). Each set contained single-track beads deposited atop printed pedestals to ensure a steady-state, representative build environment. Each track had a set power and speed combination which covered the typical range of processing parameters. After deposition, coupons were cross-sectioned and bead width and depth were measured. Finally, bead geometry was compared to optical emissions originating in the plume.

Findings
The results show that decreasing gas flow rate, increasing laser power or increasing scan speed led to increased optical emissions. Furthermore, decreasing the gas cross-flow speed led to wider and shallower melt pools.

Originality/value
To the best of the authors’ knowledge, this paper is among the first to present a relationship among laser parameters (laser power, scan speed), gas flow speed, plume emissions and bead geometry using high-speed in situ data in a commercial machine. This study proposes that scattering and attenuation from the plume are responsible for deviations in physical geometry.
palaeoverse: A community‐driven R package to support palaeobiological analysis
Authors: Jones Lewis A. , Gearty William , Allen Bethany J. , Eichenseer Kilian , Dean Christopher D. , Galván Sofía , Kouvari Miranta , Godoy Pedro L. , Nicholl Cecily S. C. , Buffan Lucas , Dillon Erin M. , Flannery‐Sutherland Joseph T. , Chiarenza Alfio Alessandro 
Published: April 2023

Abstract

The open‐source programming language ‘R' has become a standard tool in the palaeobiologist's toolkit. Its popularity within the palaeobiological community continues to grow, with published articles increasingly citing the usage of R and R packages. However, there are currently a lack of agreed standards for data preparation and available frameworks to support the implementation of such standards. Consequently, data preparation workflows are often unclear and not reproducible, even when code is provided. Moreover, due to a lack of code accessibility and documentation, palaeobiologists are often forced to ‘reinvent the wheel’ to find solutions to issues already solved by other members of the community.

Here, we introduce palaeoverse, a community‐driven R package to aid data preparation and exploration for quantitative palaeobiological research. The package is freely available and has three core principles: (1) streamline data preparation and analyses; (2) enhance code readability; and (3) improve reproducibility of results. To develop these aims, we assessed the analytical needs of the broader palaeobiological community using an online survey, in addition to incorporating our own experiences.

In this work, we first report the findings of the survey, which shaped the development of the package. Subsequently, we describe and demonstrate the functionality available in palaeoverse and provide usage examples. Finally, we discuss the resources we have made available for the community and our future plans for the broader Palaeoverse project.

palaeoverse is a community‐driven R package for palaeobiology, developed with the intention of bringing palaeobiologists together to establish agreed standards for high‐quality quantitative research. The package provides a user‐friendly platform for preparing data for analysis with well‐documented open‐source code to enhance transparency. The functionality available in palaeoverse improves code reproducibility and accessibility, which is beneficial for both the review process and future research.
Prospects of toll‐like receptors in dairy cattle breeding
Authors: Maurić Maljković M. , Vlahek I. , Piplica A. , Ekert Kabalin A. , Sušić V. , Stevanović V. 
Published: April 2023

AbstractToll‐like receptors (TLRs) play an important role in mediating the immune response against various microbes, such as bacteria, viruses, parasites, and fungi, in innate and adaptive immunity. Ten functional TLRs (TLR1 to TLR10) have been identified and mapped in cattle, with each TLR recognising specific pathogen‐associated molecular patterns. The variation in genes controlling the immune response contributes to susceptibility or resistance to various infectious diseases such as mastitis, bovine tuberculosis, and paratuberculosis. Identifying TLR SNPs shows promising results for future marker‐assisted breeding strategies, screening for disease risks, and improving the genetic resistance of dairy cattle. This article aims not only to review the research into susceptibility or resistance to infectious diseases and milk production traits in dairy cattle but also to discuss the limitations in current studies and the prospects in dairy cattle breeding.
Editorial: in search of environmental risk factors of Crohn's disease and ulcerative colitis with mendelian randomisation
Authors: Meyer Antoine , Amiot Aurélien , Carbonnel Franck 
Published: April 2023

LINKED CONTENTThis article is linked to Chen et al papers. To view these articles, visit https://doi.org/10.1111/apt.17392 and https://doi.org/10.1111/apt.17471
Editorial: clinical outcomes in lean NAFLD—the devil is in the details
Authors: Tan Eunice X. X. , Muthiah Mark Dhinesh , Ng Cheng Han , Huang Daniel Q. 
Published: April 2023

LINKED CONTENTThis article is linked to Wijarnpreecha et al papers. To view these articles, visit https://doi.org/10.1111/apt.17424 and https://doi.org/10.1111/apt.17453
Editorial: clinical outcomes in lean NAFLD – the devil is in the details. Authors' reply
Authors: Wijarnpreecha Karn , Lok Anna S. , Chen Vincent L. 
Published: April 2023

LINKED CONTENTThis article is linked to Wijarnpreecha et al papers. To view these articles, visit https://doi.org/10.1111/apt.17424 and https://doi.org/10.1111/apt.17449
Editorial: first‐degree relatives of Mexican Americans with HCC are at increased risk of significant fibrosis—authors' reply
Authors: Sharpton S. R. , Loomba R. 
Published: April 2023

LINKED CONTENTThis article is linked to Sharpton et al papers. To view these articles, visit https://doi.org/10.1111/apt.17384 and https://doi.org/10.1111/apt.17447
Asserting civic space of micro religious minorities: Evidence from Indonesia
Authors: Hurriyah  
Published: April 2023

AbstractStudies on religious discrimination have focused on the nature, causes, and dynamics of repression, asserting that perceived threats and cross‐cutting influences of religious ideology and rational calculation are predictors for governmental discrimination against religious minorities. Yet, research on how the dynamic interplay of repression and pushback shapes the contestation between governments and minorities is lacking. This article explores this issue with a case study of a small indigenous religion group in culturally heterogenous Indonesia. Building on civic space theory, this article argues for the importance of coping strategies in resisting state‐led discrimination and asserting civic space. This article carefully examined complex micro dynamics while also offering new insights to better understand the interplay between repression and pushback in the context of religious freedom.
Learning to Learn Functions
Authors: Li Michael Y. , Callaway Fred , Thompson William D. , Adams Ryan P. , Griffiths Thomas L. 
Published: April 2023

AbstractHumans can learn complex functional relationships between variables from small amounts of data. In doing so, they draw on prior expectations about the form of these relationships. In three experiments, we show that people learn to adjust these expectations through experience, learning about the likely forms of the functions they will encounter. Previous work has used Gaussian processes—a statistical framework that extends Bayesian nonparametric approaches to regression—to model human function learning. We build on this work, modeling the process of learning to learn functions as a form of hierarchical Bayesian inference about the Gaussian process hyperparameters.