bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of monocytes in endothelial glycocalyx shedding during Puumala orthohantavirus infection
Authors: Cabrera Luz E. , Polanco Isaac , Tietäväinen Johanna , Mäkelä Satu , Vapalahti Olli , Vaheri Antti , Mustonen Jukka , Strandin Tomas 
Published: August 2024

AbstractVascular leakage characterizes Puumala orthohantavirus (PUUV)-caused hemorrhagic fever with renal syndrome (HFRS). Disruption in the endothelial glycocalyx layer, which protects blood vessels from increased vascular leakage into tissues, may contribute to disease severity during acute PUUV-HFRS. Recent evidence suggests that increased heparanase (HPSE) activity could play a role in glycocalyx degradation. Additionally, dynamic changes in monocyte populations, especially a decrease in endothelium “patrolling” CD14+CD16+nonclassical monocytes (NCMs) are observed in acute PUUV-HFRS. To investigate HPSE expression levels in different monocyte subsets and their relationship to the numbers of circulating endothelial cells (CECs) as marker of glycocalyx degradation during PUUV-HFRS, we analyzed patient peripheral blood mononuclear cells collected at acute and recovery stages of the disease by flow cytometry. CECs were significantly increased in acute PUUV-HFRS patients, and gradually decreased towards the postacute and recovery phases. Moreover, we identified significant correlations between CECs, the frequencies of different monocyte subsets and their HPSE expression, and clinical parameters. The decrease in HPSE expressing NCMs correlated with plasma HPSE levels, indicating a potential role for monocytes in modulating endothelial glycocalyx shedding. Furthermore, co-culture experiments suggested PUUV-infected endothelial cells (ECs) as regulators of monocyte HPSE expression. The study enhances understanding of EC and monocyte dynamics during PUUV-HFRS, providing insights into immune responses and potential vascular complications. Subtle variations in monocyte subsets emphasize their possible variable roles in disease progression and changes throughout the disease course. Overall, the study contributes to unraveling the complex interactions between viral infections, immune responses, and vascular dynamics, guiding future investigations and interventions in PUUV-HFRS-associated vascular complications and glycocalyx shedding in the kidneys.
Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles Initiative
Authors: Nguyen Van , Iyengar Sreenidhi , Rasheed Haroon , Apolo Galo , Li Zhiwei , Kumar Aniket , Nguyen Hong , Bohner Austin , Dhodapkar Rahul , Do Jiun , Duong Andrew , Gluckstein Jeffrey , Hong Kendra , Humayun Lucas , James Alanna , Lee Junhui , Nguyen Kent , Wong Brandon , Ambite Jose-Luis , Kesselman Carl , Daskivich Lauren , Pazzani Michael , Xu Benjamin Y. 
Published: August 2024

ABSTRACTPurposeTo develop and test a deep learning (DL) algorithm for detecting referable glaucoma in the Los Angeles County (LAC) Department of Health Services (DHS) teleretinal screening program.MethodsFundus photographs and patient-level labels of referable glaucoma (defined as cup-to-disc ratio [CDR] ≥ 0.6) provided by 21 trained optometrist graders were obtained from the LAC DHS teleretinal screening program. A DL algorithm based on the VGG-19 architecture was trained using patient-level labels generalized to images from both eyes. Area under the receiver operating curve (AUC), sensitivity, and specificity were calculated to assess algorithm performance using an independent test set that was also graded by 13 clinicians with one to 15 years of experience. Algorithm performance was tested using reference labels provided by either LAC DHS optometrists or an expert panel of 3 glaucoma specialists.Results12,098 images from 5,616 patients (2,086 referable glaucoma, 3,530 non-glaucoma) were used to train the DL algorithm. In this dataset, mean age was 56.8 ± 10.5 years with 54.8% females and 68.2% Latinos, 8.9% Blacks, 2.7% Caucasians, and 6.0% Asians. 1,000 images from 500 patients (250 referable glaucoma, 250 non-glaucoma) with similar demographics (p ≥ 0.57) were used to test the DL algorithm. Algorithm performance matched or exceeded that of all independent clinician graders in detecting patient-level referable glaucoma based on LAC DHS optometrist (AUC = 0.92) or expert panel (AUC = 0.93) reference labels. Clinician grader sensitivity (range: 0.33-0.99) and specificity (range: 0.68-0.98) ranged widely and did not correlate with years of experience (p ≥ 0.49). Algorithm performance (AUC = 0.93) also matched or exceeded the sensitivity (range: 0.78-1.00) and specificity (range: 0.32-0.87) of 6 LAC DHS optometrists in the subsets of the test dataset they graded based on expert panel reference labels.ConclusionsA DL algorithm for detecting referable glaucoma developed using patient-level data provided by trained LAC DHS optometrists approximates or exceeds performance by ophthalmologists and optometrists, who exhibit variable sensitivity and specificity unrelated to experience level. Implementation of this algorithm in screening workflows could help reallocate eye care resources and provide more reproducible and timely glaucoma care.
SMeta, a binning tool using single-cell sequences to aid in reconstructing species from metagenome accurately
Authors: Zhang Yuhao , Cheng Mingyue , Ning Kang 
Published: August 2024

AbstractBecause of the large volume and complex structure of metagenomic data, traditional binning methods are often hard to classify microbial metagenomes effectively. To deal with these challenges, introducing longer and more accurate single-cell sequencing data is a possible solution. Inspired by the existing MetaBAT2 tool, this study develops a new vector-based binning algorithm, SMeta, which uses both metagenomic and single-cell sequencing data. SMeta is specifically designed for eukaryotic microbial metagenomes, with the long reads characteristic of single-cell data. By introducing the segment tree data structure, the algorithm aligns long single-cell sequences with short metagenomic sequences quickly. This approach allows for the use of reference genomes from genomic databases to replace single-cell data, which makes more precise identification and reconstruction possible for small genome fragments, which are typically overlooked by traditional methods. Also, it might provide a higher purity sequence set for subsequent assemblies.
Intrinsically Disordered Regions Define Unique Protein Interaction Networks in CHD Family Remodelers
Authors: Tabar Mehdi Sharifi , Parsania Chirag , Giardina Caroline , Feng Yue , Wong Alex CH , Metierre Cynthia , Nagarajah Rajini , Dhungel Bijay P , Rasko John EJ , Bailey Charles G 
Published: August 2024

AbstractChromodomain helicase DNA-binding (CHD1-9) enzymes reposition nucleosomal DNA for transcription, recombination, and replication. They possess highly conserved ATPase domains flanked by poorly characterised N- and C-termini, which are enriched with intrinsically disordered regions (IDRs) and short aggregation-prone regions (APRs). The roles of IDRs and APRs in CHD function has remained elusive. Here, by integrating proteomics and AlphaFold Multimer analysis, we defined the protein-protein interaction (PPI) networks within the N- and C-termini of all CHDs. We generated a comprehensive map of CHD1-9-specific binding proteins, revealing dozens of novel interactions with transcription regulators. We identified APR regions that contribute to PPI formation and demonstrated that a highly conserved APR within the C-terminus of CHD4 is critical for its interaction with the nucleosome remodeling and deacetylase (NuRD), as well as the CHD, ADNP, and HP1 (ChAHP) complexes. Further analysis unravels a regulatory role for the CHD4 APR in gene transcription during erythrocyte formation. Our results emphasize that the N- and C-termini of CHD chromatin remodelers establish PPI networks that drive unique transcriptional programs.
Developing consensus on priorities for preconception care in the general practice setting in the UK: study protocol
Authors: Schoenaker Danielle , Lovegrove Elizabeth , Santer Miriam , Matvienko-Sikar Karen , Carr Helen , Alwan Nisreen A , Kubelabo Laura , Davies Nathan , Godfrey Keith M 
Published: August 2024

AbstractBackgroundPreconception medical, behavioural and socioeconomic risk factors are common among people of reproductive age and can impact pregnancy and offspring outcomes. In line with clinical guidance, primary care practitioners are encouraged to support patients to manage and optimise their health prior to pregnancy. Due to barriers, including lack of time and resources, this support is not currently part of routine practice.AimAs a first step towards the co-development of practical and realistic best practice guidance, this study aims to achieve consensus on a list of priority risk factors that can be used in general practice to guide opportunistic preconception care for patients of reproductive age.MethodsThis study protocol was developed with a Public Advisory Group of people of reproductive age, researchers and primary care practitioners. The consensus study will consist of three steps: 1) identifying an initial long-list of candidate risk factors and defining principles for scoring the importance of each risk factor, through a literature review, workshops with people of reproductive age, and interviews with primary care practitioners; 2) stakeholder participant prioritisation of each candidate risk factor for its importance for preconception care through a three-round eDelphi survey; and 3) agreeing on the final priority list through consensus meetings with a selected group of stakeholders. Participants living in the UK will be recruited across two stakeholder groups: people of reproductive age (through the Public Advisory Group and charities) and primary care professionals (through professional organisations).Ethical approvalThis study has been approved by the University of Southampton Faculty of Medicine Ethics Committee (ERGO 83699 and 92950).DisseminationAll study findings will be shared through stakeholder participants, peer-reviewed publication, lay summary, meetings and conference presentations, and relevant professional and community organisations. Ongoing research will inform implementation of the priority list in clinical practice.
An efficient finite element computation using subparametric transformation up to cubic-order for curved triangular elements
Authors: Sasikala J. , Shylaja G. , Kesavulu Naidu V. , Venkatesh B. , Mallikarjunaiah S.M. 
Published: August 2024

PurposeA finite element computational methodology on a curved boundary using an efficient subparametric point transformation is presented. The proposed collocation method uses one-side curved and two-side straight triangular elements to derive exact subparametric shape functions.Design/methodology/approachOur proposed method builds upon the domain discretization into linear, quadratic and cubic-order elements using subparametric spaces and such a discretization greatly reduces the computational complexity. A unique subparametric transformation for each triangle is derived from the unique parabolic arcs via a one-of-a-kind relationship between the nodal points.FindingsThe novel transformation derived in this paper is shown to increase the accuracy of the finite element approximation of the boundary value problem (BVP). Our overall strategy is shown to perform well for the BVP considered in this work. The accuracy of the finite element approximate solution increases with higher-order parabolic arcs.Originality/valueThe proposed collocation method uses one-side curved and two-side straight triangular elements to derive exact subparametric shape functions.
Fluidity of social identities: implications for applying intersectionality
Authors: Dharani Babar 
Published: August 2024

PurposeIntersectionality addresses complex avenues of oppression that emanate at the intersections of one’s identities. However, the intersectional framework assumes static identities, which are increasingly being acknowledged for their fluidity. This research explored the extent of the fluidity of social identities to draw implications for the application of the framework in research.Design/methodology/approach27 participants from a post-graduate elective course on diversity and inclusion identified their significant social identities, and submitted a write-up using hermeneutic phenomenology in which the participants shared their lived experiences of the fluidity of their social identities in different spaces they occupy or find themselves in.FindingsFluidity-triggering stimuli in different environments and their associations with identity-related motives were uncovered using thematic analysis. Stimuli operating at micro-, meso- and macro-levels rationally explained identity fluidity. However, in addition to types, intensity and frequency of stimuli, psychological factors, such as identity status, were decisive in determining the degree of generalization of stimuli across individuals and spaces that significantly influenced identity fluidity.Originality/valueThis research explored the extent of the fluidity of social identities to draw implications for the application of the intersectional framework in research. The findings contribute to future research by identifying limitations of the intersectional framework based on the fluidity of social identities arising from environmental stimuli that operate at micro-, meso- and macro-levels, and the extent of psychological generalization of these stimuli across spaces.
Looking back for future directions: a literature review analysis of investors’ demand for IPOs
Authors: Mehmood Waqas , Mohd-Rashid Rasidah , Abdul-Rahim Ruzita , Aman-Ullah Attia 
Published: August 2024

PurposeA critical factor to the success of IPOs is investor demand, which can be observed from the IPO subscription pattern. Therefore, the objective of this study is to review the studies on the demand of IPOs, including empirical and theoretical literature, due to the substantial growth of IPOs over the last two decades.Design/methodology/approachThis study extracted secondary data regarding IPO demand published from 1988 to 2022 from the Scopus database. We conducted a meta-literature review for qualitative and quantitative methods on the resulting 284 articles using citation analysis (Harzing’s Publish or Perish and VOS viewer software) and content analysis.FindingsThe findings revealed significant elements of the literature, including countries, institutions, journals, authors, articles and topics. Based on the IPO literature review and analyses, this paper developed future research questions to facilitate an extension of the research. Additionally, this paper developed a dual perspective of the present state of IPO research. First, it asserts that the demand for IPOs is not limited to certain countries, jurisdictions or vintages. Second, there are very few studies on demand for IPOs available despite IPOs’ economic worth.Originality/valueTo the best of the authors’ knowledge, this is the first study of its kind to present an empirical evaluation of demand for IPOs using inclusive mapping.
The prince of insiders: a multiple pathway approach to understanding IP theft insider attacks
Authors: Whitty Monica Therese , Ruddy Christopher , Keatley David , Butavicius Marcus , Grobler Marthie 
Published: August 2024

Purpose
Intellectual property (IP) theft is an increasing threat that can lead to large financial losses and reputational harm. These attacks are typically noticed only after the IP is stolen, which is usually too late. This paper aims to investigate the psychological profile and the socio-technical events that statistically predict the likelihood of an IP threat.

Design/methodology/approach
This paper analyses 86 IP theft cases found in court documents. Two novel analyses are conducted. The research uses LLMs to analyse the personality of these insiders, which is followed by an investigation of the pathways to the attack using behaviour sequence analysis (BSA).

Findings
These IP theft insiders scored significantly higher on measures of Machiavellianism compared to the normal population. Socio-technical variables, including IP theft via photographs, travelling overseas, approaching multiple organisations and delivering presentations, were identified. Contrary to previous assumptions that there is a single pathway to an attack, the authors found that multiple, complex pathways lead to an attack (sometimes multiple attacks). This work, therefore, provides a new framework for considering critical pathways to insider attacks.

Practical implications
These findings reveal that IP theft insiders may come across as charming, star employees rather than the stereotype of disgruntled employees. Moreover, organisations’ policies may need to consider that IP theft occurs via non-linear and multiple pathways. This means that sequences of events need to be considered in detecting these attacks instead of anomalies outright. The authors also argue that there may be a case for “continuous evaluation” to detect insider activity.

Originality/value
This paper offers a new framework for understanding and studying insider threats. Instead of a single critical pathway, this work demonstrates the need to consider multiple interconnected pathways. It elucidates the importance of a multidisciplinary approach and provides opportunities to reconsider current practices in detection and prevention.
The influence of digital disclosure language adoption on decrease financial information asymmetry and increase its quality
Authors: Al-Okaily Manaf 
Published: August 2024

Purpose
The main purpose of this study is to determine the antecedent factors of digital financial disclosure language adoption and its impact on decreasing financial information asymmetry and increasing its quality.

Design/methodology/approach
The data was obtained from 116 financial managers, who are working and responsible for preparing and filing financial statements reports in listed Jordanian firms in the Amman Stock Exchange. The partial least squares structural equation modeling approach is used for data analysis.

Findings
The empirical results revealed that the adoption of digital financial reporting is positively influenced by perceived usefulness and perceived ease of use. Besides, the outcomes also confirm that the adoption of digital financial reporting positively influences accounting information quality, and hence hypotheses H1, H2 and H3 were accepted.

Originality/value
This study varies from previous studies because it is considered among the first empirical studies that determine the antecedent factors of digital financial reporting adoption and its impact on improving accounting information quality and sustainability in an empirical setting from a developing country perspective such as Jordan.
A ranking framework for the selection of IoT cloud platforms using hybrid multi-attribute decision-making method
Authors: Raheja Supriya , Garg Rakesh , Garg Ritvik 
Published: August 2024

PurposeThe Internet of Things (IoT) cloud platforms provide end-to-end solutions that integrate various capabilities such as application development, device and connectivity management, data storage, data analysis and data visualization. The high use of these platforms results in their huge availability provided by different capabilities. Therefore, choosing the optimal IoT cloud platform to develop IoT applications successfully has become crucial. The key purpose of the present study is to implement a hybrid multi-attribute decision-making approach (MADM) to evaluate and select IoT cloud platforms.Design/methodology/approachThe optimal selection of the IoT cloud platforms seems to be dependent on multiple attributes. Hence, the optimal selection of IoT cloud platforms problem is modeled as a MADM problem, and a hybrid approach named neutrosophic fuzzy set-Euclidean taxicab distance-based approach (NFS-ETDBA) is implemented to solve the same. NFS-ETDBA works on the calculation of assessment score for each alternative, i.e. IoT cloud platforms, by combining two different measures: Euclidean and taxicab distance.FindingsA case study to illustrate the working of the proposed NFS-ETDBA for optimal selection of IoT cloud platforms is given. The results obtained on the basis of calculated assessment scores depict that “Azure IoT suite” is the most preferable IoT cloud platform, whereas “Salesman IoT cloud” is the least preferable.Originality/valueThe proposed NFS-ETDBA methodology for the IoT cloud platform selection is implemented for the first time in this field. ETDBA is highly capable of handling the large number of alternatives and the selection attributes involved in any decision-making process. Further, the use of fuzzy set theory (FST) makes it very easy to handle the impreciseness that may occur during the data collection through a questionnaire from a group of experts.
Toward gender equality in operations and supply chain management: a systematic review, research themes and future directions
Authors: Akbari Mohammadreza , Ruel Salomée , Nguyen Hieu Thi Minh , Reaiche Carmen , Boyle Stephen 
Published: August 2024

PurposeThis systematic review of the current gender inequality issues in operations and supply chain management (OSCM) seeks to illuminate the multifaceted aspects of this issue and their various implications for the field.Design/methodology/approachEmploying systematic literature review and Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) methodologies, this research delves into an analysis of 238 journal articles spanning a 47-year period. The objective is to discern existing voids and put forth actionable suggestions that align with the United Nations’ Sustainable Development Goal Number 5 (SDG5) in the context of men and women, which pertains to realizing gender equality and empowering girls and women.FindingsThe results show a significant increase in published articles over the period. However, only five literature review articles were found that specifically address gender inequality in OSCM. The five common themes impacting gender inequality in this field are gender issues, mindset, transportation disparities, human resources and gender roles in OSCM, alongside sustainability, mobility and government policy intersections. The paper emphasizes the need for further research on these themes. It also suggests implications for educators, researchers, companies, OSCM departments and policymakers to achieve SDG5.Originality/valueThis study offers valuable insights by comprehensively reviewing and systematically analyzing the prevailing gender inequality issues within OSCM. It accentuates the significance of gender equality in OSCM, augmenting the burgeoning discourse and catalyzing concerted endeavors for gender equality.