bluuebunny/crossref_metadata_2025_split huggingface dataset:
Breast cancer cell-derived extracellular vesicles accelerate collagen fibrillogenesis and integrate into the matrix
Authors: Tam Nicky W. , Dimova Rumiana , Cipitria Amaia 
Published: August 2024

AbstractExtracellular vesicle (EV) and nanoparticle interactions with extracellular matrix (ECM) environments are often studied through a paradigm whereby particles are a passive element whose diffusion and behaviour are subject to the composition and structure of the environment they are in. While EV diffusion and distribution in tissues are indeed governed by matrix interactions, accumulating evidence suggests that EVs contain much of the cellular machinery required for actively remodeling ECM as well. Using rheology and confocal reflectance microscopy to investigate the gelation of collagen I hydrogels formed in the presence of EVs, we show that EVs can play an active role in the formation of new ECM. EVs appear to nucleate new fibrils, recruiting collagen molecules from solution and accelerating their polymerization. Trypsinization of EVs to digest their surface proteins shows that proteins are primarily responsible for this phenomenon. The use of extruded plasma membrane vesicles shows that membrane composition plays an important role in determining final fibril length and matrix structure. EVs also become integrated into the fibril structures that they help form, reminiscent of matrix vesicles foundin situwithin tissues. This represents a plausible way by which EVs are deposited into the extracellular environment, becoming important contextual signaling cues for resident cells. Our data show that EV-matrix interactions are dynamic and reciprocal, contributing to the remodeling of tissue microenvironments.
Ophthalmic acid is a bloodborne metabolite that contributes to age-induced cardiomyocyte hypertrophy
Authors: Mehdipour Melod , Park Sangsoon , Wei Wei , Long Jonathan Z. , Huang Guo N. 
Published: August 2024

AbstractCardiac aging involves the development of left ventricular hypertrophy alongside a decline in functional capacity. Here, we use neutral blood exchange to demonstrate that the acute removal of age-accumulated blood factors significantly regresses cardiac hypertrophy in aged mice. The reversal of hypertrophy was not attributed to age-associated hemodynamic effects, implicating a role of blood-derived factors. In addition, the overarching paradigm of systemic aging maintains that the age-related overabundance of plasma proteins are largely responsible for causing pathological phenotypes in tissues. Our results suggest that blood metabolites, not proteins, drive cardiac hypertrophy instead. Upon analyzing serum metabolomics data sets, we identified ophthalmic acid as a circulating metabolite whose levels increase with advanced age. Treatment of adult mouse and neonatal rat cardiomyocytes in culture with ophthalmic acid increased their relative surface areas. This study uncovers a non-protein metabolite that may contribute to cardiomyocyte hypertrophy during aging. Identifying a method to counteract ophthalmic acid’s hypertrophic effects may reveal novel therapeutic opportunities for cardiac rejuvenation.
CD38 mediates nicotinamide mononucleotide (NMN) base exchange to yield nicotinic acid mononucleotide (NaMN)
Authors: Madawala Romanthi , Banks Jasmine L. , Hancock Sarah E. , Quek Lake-Ee , Turner Nigel , Wu Lindsay E. 
Published: August 2024

AbstractNicotinamide mononucleotide (NMN) is a widely investigated metabolic precursor to the prominent redox cofactor nicotinamide adenine dinucleotide (NAD+), where it is assumed that delivery of this compound results in its direct incorporation into NAD+via the canonical salvage / recycling pathway. Surprisingly, treatment with this salvage pathway intermediate leads to increases in nicotinic acid mononucleotide (NaMN) and nicotinic acid adenine dinucleotide (NaAD), two members of the Preiss-Handler /de novopathways. In mammals, these pathways are not known to intersect prior to the production of NAD+. Here, we show that the cell surface enzyme CD38 can mediate a base exchange reaction on NMN, whereby the nicotinamide ring is exchanged with a free nicotinic acid to yield the Preiss-Handler /de novopathway intermediate NaMN, within vivosmall molecule inhibition of CD38 abolishing the NMN-induced increase in NaMN and NaAD. Together, these data demonstrate a new mechanism by which the salvage pathway and Preiss-Handler /de novopathways can exchange intermediates in mammalian NAD+biosynthesis.
Synthetic Data Generation in Healthcare: A Scoping Review of reviews on domains, motivations, and future applications
Authors: Rujas Miguel , del Moral Herranz Rodrigo Martín Gómez , Fico Giuseppe , Merino-Barbancho Beatriz 
Published: August 2024

AbstractThe development of Artificial Intelligence (AI) in the healthcare sector is generating a great impact. However, one of the primary challenges for the implementation of this technology is the access to high-quality data due to issues in data collection and regulatory constraints, for which synthetic data is an emerging alternative. This Scoping review analyses reviews from the past 10 years from three different databases (i.e., PubMed, Scopus, and Web of Science) to identify the healthcare domains where synthetic data are currently generated, the motivations behind their creation, their future uses, limitations, and types of data. A total of 13 main domains were identified, with Oncology, Neurology, and Cardiology being the most frequently mentioned. Five types of motivations and three principal future uses were also identified. Furthermore, it was found that the predominant type of data generated is unstructured, particularly images. Finally, several future work directions were suggested, including exploring new domains and less commonly used data types (e.g., video and text), and developing an evaluation benchmark and standard generative models for specific domains.
Commuting-driven competition between transmission chains shapes seasonal influenza virus epidemics in the United States
Authors: de Jong Simon P.J. , Conlan Andrew , Han Alvin X. , Russell Colin A. 
Published: August 2024

AbstractDespite intensive study, much remains unknown about the dynamics of seasonal influenza virus epidemic establishment and spread in the United States (US) each season. By reconstructing transmission lineages from seasonal influenza virus genomes collected in the US from 2014 to 2023, we show that most epidemics consisted of multiple distinct transmission lineages. Spread of these lineages exhibited strong spatiotemporal hierarchies and lineage size was correlated with timing of lineage establishment in the US. Mechanistic epidemic simulations suggest that mobility-driven competition between lineages determined the extent of individual lineages’ geographical spread. Based on phylogeographic analyses and epidemic simulations, lineage-specific movement patterns were dominated by human commuting behavior. These results suggest that given the locations of early-season epidemic sparks, the topology of inter-state human mobility yields repeatable patterns of which influenza viruses will circulate where, but the importance of short-term processes limits predictability of regional and national epidemics.TeaserEpidemics consist of multiple sub-epidemics that compete for susceptible hosts and spread due to the movement of commuters.
Systemic metabolic changes in acute and chronic lymphocytic choriomeningitis virus infection
Authors: Bartman Caroline , Hou Shengqi , Correa Fabian , Shen Yihui , da Silva-Diz Victoria , Aleksandrova Maya , Herranz Daniel , Rabinowitz Josh , Intlekofer Andrew 
Published: August 2024

AbstractViral infection of cells leads to metabolic changes, but how viral infection changes whole-body and tissue metabolismin vivohas not been comprehensively studied. In particular, it is unknown how metabolism might be differentially affected by an acute infection that the immune system can successfully clear, compared to a chronic and persistent infection. Here we used metabolomics and isotope tracing to identify metabolic changes in mice infected with acute or chronic forms of lymphocytic choriomeningitis virus (LCMV) for three or eight days. Both types of infection alter metabolite levels in blood and tissues, including itaconate and thymidine. However, we observed more dramatic metabolite changes in the blood and tissues of mice with chronic LCMV infection compared to those with acute infection. Isotope tracing revealed that the contribution of both glucose and glutamine to the tricarboxylic acid (TCA) cycle increase in the spleen, liver, and kidneys of mice infected with chronic LCMV, while acute LCMV only increases the contribution of glutamine to the TCA cycle in the spleen. We found that whole-body turnover of both glutamine and thymidine increase during acute and chronic infection, whereas whole-body glucose turnover was surprisingly unchanged. Activated T cellsin vitroproduce thymidine and mice with T cell leukemia display elevated serum thymidine, nominating T lymphocytes as the source of thymidine in LCMV infection. In sum, we provide comprehensive measurements of whole-body and tissue metabolism in acute and chronic viral infection, and identify altered thymidine metabolism as a marker of viral infection.
Holographic entanglement properties in the QCD phase diagram from Einstein-Maxwell-dilaton models
Authors: Li Zhibin 
Published: August 2024

In this study, we investigate the behavior of entanglement properties in the QCD phase diagram using holographic Einstein-Maxwell-dilaton models. We consider two representative holographic QCD models and examine various entanglement measures, including entanglement entropy, conditional mutual information, and the entanglement of purification. We find that the entanglement entropy obtained using the direct UV-cutoff renormalization method shows significant dependence on the specific model being used. However, the outcomes of other nondivergent entanglement measures, such as cutoff-independent entanglement entropy, conditional mutual information, and the entanglement of purification, exhibit congruence in our calculations. When we focus specifically on the temperature range below 300 MeV, we observe a similar behavior among the three entanglement measures. This may suggest that within this temperature range, the entanglement of QCD matter decreases with increasing temperature. Additionally, we observe distinct phase transition behaviors of entanglement properties at the critical end point and first-order phase transitions. This observation highlights the potential of entanglement properties as effective order parameters for QCD matter phase transitions.

Published by the American Physical Society
2024
Universal vortex statistics and stochastic geometry of Bose-Einstein condensation
Authors: Thudiyangal Mithun , del Campo Adolfo 
Published: August 2024

The cooling of a Bose gas in finite time results in the formation of a Bose-Einstein condensate that is spontaneously proliferated with vortices. We propose that the vortex spatial statistics is described by a homogeneous Poisson point process (PPP) with a density dictated by the Kibble-Zurek mechanism (KZM). We validate this model using numerical simulations of the two-dimensional stochastic Gross-Pitaevskii equation (SGPE) for both a homogeneous and a hard-wall trapped condensate. The KZM scaling of the average vortex number with the cooling rate is established along with the universal character of the vortex number distribution. The spatial statistics between vortices is characterized by analyzing the two-point defect-defect correlation function, the corresponding spacing distributions, and the random tessellation of the vortex pattern using the Voronoi cell area statistics. Combining the PPP description with the KZM, we derive universal theoretical predictions for each of these quantities and find them in agreement with the SGPE simulations. Our results establish the universal character of the spatial statistics of point-like topological defects generated during a continuous phase transition and the associated stochastic geometry.

Published by the American Physical Society
2024
An assessment of methods to deal with endogeneity in corporate governance and reporting research
Authors: Khatib Saleh F.A. 
Published: August 2024

Purpose
This study aims to conduct a comprehensive methodological review, exploring the strategies used to address endogeneity within the realms of corporate governance and financial reporting.

Design/methodology/approach
This research reviews the application of various methods to deal with endogeneity issue published in the 10 journals covering the corporate governance discipline included in the Web of Science’s Social Sciences Citation Index.

Findings
With a focus on empirical studies published in leading journals, the author scrutinizes the prevalence of endogeneity and the methodologies applied to mitigate its effects. The analysis reveals a predominant reliance on the two-stage least squares (2SLS) technique, a widely adopted instrumental variable (IV) approach. However, a notable observation emerges concerning the inconsistent utilization of clear exogenous IVs in some studies, highlighting a potential limitation in the application of 2SLS. Recognizing the challenges in identifying exogenous variables, the author proposes the generalized method of moments (GMM) as a viable alternative. GMM offers flexibility by not imposing the same exogeneity requirement on IVs but necessitates a larger sample size and an extended sample period.

Research limitations/implications
The paper sensitizes researchers to the critical concern of endogeneity bias in governance research. It provides an outline for diagnosing and correcting potential bias, contributing to the awareness among researchers and encouraging a more critical approach to methodological choices, recognizing the prevalence of endogeneity in empirical studies, particularly focusing on the widely adopted 2SLS technique.

Originality/value
Practitioners, including corporate executives and managers, can benefit from the study’s insights by recognizing the importance of rigorous empirical research. Understanding the limitations and strengths of methodologies like 2SLS and GMM can inform evidence-based decision-making in the corporate governance realm.
Dynamic J-A model improved by waveform scale parameters and R-L type fractional derivatives
Authors: Chen Long , Zhang Zheyu , An Ni , Wen Xin , Ben Tong 
Published: August 2024

Purpose
The purpose of this study is to model the global dynamic hysteresis properties with an improved Jiles–Atherton (J-A) model through a unified set of parameters.

Design/methodology/approach
First, the waveform scaling parameters β, λk and λc are used to improve the calculation accuracy of hysteresis loops at low magnetic flux density. Second, the Riemann–Liouville (R-L) type fractional derivatives technique is applied to modified static inverse J-A model to compute the dynamic magnetic field considering the skin effect in wideband frequency magnetization conditions.

Findings
The proposed model is identified and verified by modeling the hysteresis loops whose maximum magnetic flux densities vary from 0.3 to 1.4 T up to 800 Hz using B30P105 electrical steel. Compared with the conventional J-A model, the global simulation ability of the proposed dynamic model is much improved.

Originality/value
Accurate modeling of the hysteresis properties of electrical steels is essential for analyzing the loss behavior of electrical equipment in finite element analysis (FEA). Nevertheless, the existing inverse Jiles–Atherton (J-A) model can only guarantee the simulation accuracy with higher magnetic flux densities, which cannot guarantee the analysis requirements of considering both low magnetic flux density and high magnetic flux density in FEA. This paper modifies the dynamic J-A model by introducing waveform scaling parameters and the R-L fractional derivative to improve the hysteresis loops’ simulation accuracy from low to high magnetic flux densities with the same set of parameters in a wide frequency range.
Decoding the role of leadership on employee's life satisfaction – through the mediating pathway of work passion and work-to-life interface
Authors: Goswami Munmun , Jena Lalatendu Kesari 
Published: August 2024

PurposeThis study explores the interactive domains of work passion, work–life interface and leadership behavior. Drawing support from the Conservation of Resources Theory and the Work-Home Resources Model, we empirically tested the mediating effect of dualistic work passion (harmonious, obsessive) and work-to-life interface (conflict, enrichment) between leadership behavior (transformational, abusive) and subordinates’ life satisfaction. The moderating effect of psychological detachment was also explored.Design/methodology/approachData were collected from 292 full-time white-collar workers from the adult Indian population using an online survey. SEM using SPSS 20.0 and AMOS 22.0 was conducted for empirical analysis.FindingsHarmonious work passion and work-to-life enrichment positively mediated between transformational leadership and life satisfaction, and psychological detachment moderated the relationship between harmonious work passion and work-to-life interface. The mediating role of obsessive work passion and work-to-life conflict between abusive supervision and life satisfaction was not observed, and neither was the moderating role of psychological detachment established.Practical implicationsFrom the managerial perspective, organizations need to be sensitive to the needs of the diverse workforce they have. Especially in the post-COVID-19 scenario, people are more aware and focused on balancing their work and life domains. Thus, interactive policies and practices are the need of the hour rather than the prevalent blanket one.Originality/valueThis study explores the effect of leadership on subordinates’ life satisfaction, which has not been explored through the pathway of work passion and work-to-family interface. It thus contributes to leadership, work passion and work–life interface research.
Innovation and sustainability from the perspective of entrepreneurial intention: a cross-cultural approach
Authors: Paiva Luis Eduardo Brandão , Muñoz-Pascual Lucía , Galende Jesús 
Published: August 2024

PurposeThis study aims to investigate the influence of the theory of planned behavior (TPB), innovation and sustainability, through environmental awareness, in the formation of entrepreneurial intention (EI).Design/methodology/approachBased on the alignment between theoretical axes, such as the theory of planned behavior, adaptation–innovation theory and the environmental axis of sustainability, quantitative research was developed with students from Brazilian and Spanish universities. We obtained a sample of 686 university students enrolled in courses related to management in both countries. Data analysis included exploratory factor analysis and logistic regression.FindingsOur results revealed that the constructs of TPB (personal attitudes and perceived behavioral control) influenced EI, excluding subjective norms. Innovation had an influence on the EI of students from both countries. In Brazilians, valuing change predicts EI, highlighting the importance of flexibility. Conversely, Spaniards emphasize originality, valuing uniqueness and creativity as drivers of EI. Sustainability, via environmental awareness, did not influence EI.Originality/valueWith this study, we aim to encourage policies and practices aimed at higher education institutions globally, to broaden the understanding about the importance of environmental, innovative and social studies and practices aligned with the context of entrepreneurship. The final aim is to enhance social and environmental benefits generated by future entrepreneurs.
The role of suspicious accounts in setting political discourse: a study of the Pakistani Twitter space
Authors: Ahmed Umair , Saeed Muhammad , Alam Shah Jamal 
Published: August 2024

PurposeThis paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan.Design/methodology/approachUsing Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag.FindingsFindings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization.Originality/valueThis paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.
What influences perceptions about the concept of return on investment from healthcare quality improvement programmes? An institutional theory perspective
Authors: Thusini S'thembile , Soukup Tayana , Henderson Claire 
Published: August 2024

PurposeThis paper aims to highlight the factors influencing the conceptualisation of return on investment (ROI) from healthcare quality improvement (QI) programmes.Design/methodology/approachIn their previous work, the authors found that the concept of ROI from QI is broad and includes numerous internal and external benefits for organisations. In this paper, the authors developed a framework outlining the factors that influence this conceptualisation of QI-ROI from an institutional theory perspective. The framework is based on the synthesis of their serial studies on the determinants of the concept of ROI from QI. The research was performed from 2020–2023 and involved a global multidisciplinary systematic literature review (N = 68), qualitative interviews (N = 16) and a Delphi study (N = 23). The qualitative and Delphi studies were based on the publicly-funded mental healthcare in UK. Participants included board members, clinical and service directors, as well as QI leaders.FindingsThe authors outline a framework of internal and external institutional forces that influence the conceptualisation of ROI from QI programmes in mental healthcare and similar organisations. Based on these factors, the authors state several conjectures. In doing this, the authors highlight the ambiguities and uncertainties surrounding QI-ROI conceptualisation. These challenge leaders to balance various monetary and non-monetary benefits for organisations and health systems. This explains the broadness of the QI-ROI concept.Originality/valueThe authors developed a framework highlighting the forces underpinning the broad, ambiguous and sometimes uncertain nature of the QI-ROI concept. They raise awareness about dilemmas to be confronted in developing or applying any tool to evaluate the value for money of QI programmes. Specifically, the work highlights the limitations of the ROI methodology as a primary tool in the QI context and the need for a more comprehensive tool.