bluuebunny/crossref_metadata_2025_split huggingface dataset:
ElectrApp: Deep learning framework to enhance cardiac arrhythmia detection
Authors: L  Echeverry Ana María , Lopez Flórez Sebastián , Guapacha Jovanny B , Gutiérrez Jonatan , de la Prieta Fernando 
Published: October 2024

Abstract
Medical specialists who diagnose patients with cardiovascular arrhythmias are not promptly available in rural areas. The proposed information system provides access to upload the data to a cloud-based processing module in which different arrhythmias are classified, allowing the classification of various arrhythmias to solve the scarcity of physicians in remote areas through an automatic system that helps with the diagnosis. This information system has a controller module for the operation that manages data collection, processing, beautification and visualization tasks. We used the MIT-BIH Arrhythmia Database during the training and validation of the classification module. The module uses deep learning to identify five different types of heartbeats according to standards, reporting 98.9% accuracy. The information system will improve health coverage in the prediagnosis of cardiovascular diseases.
Imaging Features Differentiating Between Cardiac Sarcomas and Hematologic Neoplasms
Authors: Singh Aparna , Hammer Mark M. 
Published: October 2024

Purpose
The aim of the study is to assess the efficacy of computed tomography (CT) and positron emission tomography (PET)/CT findings in differentiating between cardiac sarcoma and cardiac hematologic neoplasms, which are rare but potentially lethal primary cardiac malignancies.

Materials and Methods
We searched the electronic medical record for pathology-proven cases from 2012 to 2023, finding 69 patients (46 sarcomas, 23 cardiac hematologic neoplasms). Imaging features including tumor size, atrioventricular (AV) groove involvement, right coronary artery (RCA) encasement by 180°, pericardial effusion, lymphadenopathy, and metabolic activity on fluorodeoxyglucose PET were reviewed by a radiology fellow. Statistical analysis was performed using Fisher exact test and Wilcoxon test.

Results
Cardiac sarcoma patients were younger (median age 49 years) compared to patients with cardiac hematologic malignancies (66 years, P = 0.006). While tumor size and chamber involvement were similar between the 2 categories, hematologic malignancies exhibited a notable predilection for AV groove involvement (70% vs 43%, P = 0.04) and RCA encasement (52% vs 26%, P = 0.02). Pulmonary metastases were more frequent in sarcoma cases (33% vs 4%, P = 0.006). There was no significant difference in fluorodeoxyglucose uptake. Lymphadenopathy was similar between the 2 disease groups. A decision tree constructed using AV groove involvement and patient age achieved 75% accuracy in predicting the diagnosis of the mass.

Conclusions
Overall, there is a substantial overlap in imaging features of cardiac sarcomas and hematologic malignancies involving the heart. Involvement of the AV groove and RCA encasement can allow a radiologist to favor hematologic malignancy. Ultimately, biopsy is required to establish a diagnosis.
Prevention of radial artery occlusion after transradial angiography and intervention: a best practice implementation project
Authors: Xia Biyun , Song Pinfang , McArthur Alexa , Bai Jiaojiao 
Published: October 2024

ABSTRACT

Introduction:
Among the complications associated with transradial artery access, radial artery occlusion (RAO) is the most frequent and serious, limiting the reuse of the same radial artery for subsequent procedures and as a graft for coronary artery bypass grafting.

Objective:
The objective of this project was to implement best practices to reduce the incidence of RAO, thereby enhancing the quality of patient care after transradial coronary angiography or intervention.

Methods:
The project was conducted in cardiology department of the Huadong Hospital, Shanghai, China. The seven-phase JBI Evidence Implementation Framework was used to guide the project. Eight audit criteria were developed and a baseline audit was conducted to compare current practice with best practices for RAO prevention. Following the implementation of improvement strategies, a follow-up audit was conducted to evaluate the success of the strategies.

Results:
The implementation of best practices led to significant improvements in reducing the sheath/catheter size and systematically assessing radial artery patency before discharge, with both criteria reaching 100% compliance. The use of prophylactic ulnar compression increased from 0% to 90%, and the adoption of a minimal pressure strategy improved from 0% to 70%. The use of pre-puncture and post-procedural pre-hemostasis nitrates also increased from 23% to 93%. Barriers to implementation included the lack of dedicated devices for prophylactic ulnar artery compression, the possibility of bleeding after removal of the compression device, absence of an evidence-based care workflow, and absence of nursing assessment record forms for RAO prevention.

Conclusions:
This project promoted evidence-based practices among nurses for the care of RAO patients following transradial angiography and intervention. Efforts should be made to sustain the best practices in the future.

Spanish abstract:

http://links.lww.com/IJEBH/A261
Integrative Proximal-Ubiquitomics Profiling for Deubiquitinase and E3 Ligase Substrate Discovery Applied to USP30
Authors: Damianou Andreas , Jones Hannah B.L. , Grigoriou Athina , Vendrell Iolanda , Davis Simon , Kessler Benedikt M. 
Published: October 2024

AbstractIncreasing interest in deubiquitinases (DUBs) and ubiquitin E3 ligases as drug targets to modulate critical molecular pathways in disease is driven by the discovery of specific cellular roles of these enzymes. Key to this is the identification of DUB or E3 ligase substrates. While global cellular ubiquitination changes upon perturbation of DUB/E3 ligase activity can be studied using mass spectrometry-based proteomic methods, these datasets include indirect and downstream ubiquitination events. To enrich for direct substrates of DUB/E3 ligase enzymes, we have combined proximity-labelling methodology (APEX2) and subsequent ubiquitination enrichment (based on the K-ε-GG motif) to form a proximal-ubiquitome workflow. We have applied this technology to identify altered ubiquitination events in the proximity of the DUB ubiquitin specific protease 30 (USP30) upon its inhibition. We show ubiquitination events previously linked to USP30 on TOMM20 and FKBP8 and the previously undescribed candidate substrate LETM1, which is deubiquitinated in a USP30-dependent manner.
Electrophysiological decoding captures the temporal trajectory of face categorization in infants
Authors: Kessler Roman , Skeide Michael A. 
Published: October 2024

AbstractThe adult human brain rapidly distinguishes between faces at around 170 milliseconds after stimulus onset. In the developing brain, however, the time course of face discrimination is poorly understood. To shed light on this issue, we presented human and nonhuman primate faces to five to thirteen-month-old infants in an event-related electroencephalography experiment. Using time-resolved decoding based on logistic regression we detected above-chance discrimination of human faces from nonhuman faces in a time window starting at around 200 milliseconds, originating from occipito-temporal electrodes. There was no evidence, however, for above-chance discrimination of individual human or individual nonhuman faces. Moreover, using neural network-based decoding, we delivered the proof of principle that face categorization but not individuation can be detected even at the level of single participants. These results indicate that rapid face categorization emerges already in preverbal infants.
Proteomic and transcriptomic host biomarkers for detection of pleural tuberculosis
Authors: Almeida Matheus Rogerio , van Hooij Anouk , Musch Nina , Verhard Els , van Veen Suzanne , Pierneef Louise , de Jong Danielle , da Silva Corrêa Raquel , Mafort Thiago Thomaz , Rufino Rogério , de Macedo Cristiana Santos , Kiełbasa Szymon M. , Corstjens Paul L.A.M. , Rodrigues Luciana Silva , Geluk Annemieke 
Published: October 2024

SummaryCurrent diagnosis of pleural tuberculosis (PLTB) is based on highly invasive procedures. Therefore, blood-based host biomarkers could represent a low-invasive diagnostic alternative. Plasma and pleural effusion, as well as blood-and pleural fluid mononuclear cells (PBMCs and PFMCs), were sampled from patients with PLTB and other pleural diseases (OPLDs). In pleural effusion, ApoA1, C1q, CRP, IL-6, IFN-γ, IP-10, MIG, S100A12, SAA1/A2, and serpin-A3 were significantly higher in PLTB compared to OPLD, whereas only SAA1/A2 showed discriminatory potential in plasma. Increased mRNA levels were observed in PFMCs of PLTB forCD8A,GBP5,SLAMF7,CXCL10,IL2,GNLY,IL23A,PDCD1andBCMA, whereasHMOX1,CD163,DUSP3,IGF1,GUSBandMARCOwere decreased. In PBMCs of PLTB, onlyCCL22expression was decreased.GBP5was significantly higher expressed in PLTB for both cell types.This study shows the potential of transcriptomic and proteomic host biomarkers to differentiate PLTB from OPLDs also when applying low-invasive methods.
IntegratingN-glycan and CODEX imaging reveal cell-specific protein glycosylation in healthy human lung
Authors: Veličković Dušan , Purkerson Jeffrey , Bhotika Harsh , Huyck Heidie , Clair Geremy , Pryhuber Gloria S. , Anderton Christopher 
Published: October 2024

ABSTRACTN-linked glycosylation, the major post-translational modification of cellular proteins, is important for proper lung functioning, serving to fold, traffic, and stabilize protein structures and to mediate various cell-cell recognition events. Identifying cell-specificN-glycan structures in human lungs is critical for understanding the chemistry and mechanisms that guide cell-cell and cell-matrix interactions and determining nuanced functions of specificN-glycosylation. Our study, which used matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) combined with co-detection by indexing (CODEX) to reveal the cellular origin ofN-glycans, is a significant step in this direction. This innovative technological combination enabled us to detect and differentiateN-glycans located in the vicinity of cells surrounding airways and blood vessels, parenchyma, submucosal glands, cartilage, and smooth muscles. The potential impact of our findings on future research is immense. For instance, our algorithm for groupingN-glycans based on their functional chemical features, combined with identifying group niches, paves the way for targeted studies. We found that fucosylatedN-glycans are dominant around immune cells, tetra antennaryN-glycans in the cartilage, high-mannoseN-glycans surrounding the bronchus originate from associated collagenous structures, complex fucosylated-tetra antennary-polylactosamineN-glycans are spread over smooth muscle structures and in epithelial cells surrounding arteries, andN-glycans with Hex:6 HexNAc:6 compositions, which, according to our algorithm, can be ascribed to either tetra antennary or bisectingN-glycan, are highly abundant in the parenchyma. The findings suggest cell or region-specific functions for these localized glycan structures.
Finance–growth nexus and sustainable development in West Africa
Authors: AbdulKareem Hauwah K.K. , Jimoh Sodiq Olaiwola , Akande Rashidat Sumbola 
Published: October 2024

PurposeWith the rising global emphasis on sustainable development (SD) and the attendant race to attain the sustainable development goals (SDGs), this study empirically examines the effect of the finance–economic growth nexus on SD in West Africa for the period 1970 to 2020.Design/methodology/approachThe study adopted the panel autoregressive distributive lag (PARDL) and rests on the estimates of the pooled mean group (PMG) model in line with the outcome of the Hausman test.FindingsThe result indicates that financial development reinforces the positive influence of economic growth on SD in addition to the direct incremental impact they wield on SD. This suggests that financial development is one of the “influencing factors” and is positioned to potentially improve the relationship between economic growth and SD in West Africa. Findings further reveal that foreign direct investment (FDI) enhances the achievement of SD in West Africa whereas carbon dioxide (CO2) emissions and natural resource rent (NRR) are found to exert a deteriorating impact.Practical implicationsSince financial development is found to enhance the growth–SD relationship, it is crucial to pursue domesticated, inclusive and self-sustaining growth policies as well as promote financial inclusion, remove bottlenecks and inefficiencies in the financial system and adopt the principles of the 3 Rs - “reduce, reuse and recycle.”Originality/valueCompared to previous studies that examined the effect of financial development and growth on SD separately, the present study interacted both to see how financial development can influence the economic growth–SD nexus.
Safety-risk assessment system for prefabricated building construction in China
Authors: Li Xiaojuan , Chen Rixin , Chen Weibin , Jim C.Y. 
Published: October 2024

PurposePrefabricated building (PB) uses factory production and onsite assembly, which differs from traditional construction methods. This special construction approach may lead to dissimilar safety risks and challenges. Traditional safety assessment methods may not adequately and accurately assess the safety risks of PB construction. This paper aims to develop a new concept and methodology for targeted improvement in assessing PB safety risks.Design/methodology/approachRisk factors and indicators were established based on literature review and expert inputs. A structural equation model (SEM) was developed to investigate the relationships among three main risk categories: objects, workers and management. SEM analyzed the intricate associations between indicators and deepened understanding of safety risks. The model was tailored for China’s PB construction projects to enhance safety-risk management.FindingsThe cloud model evaluation validated the SEM model. A PB case study project tested and verified the model, evaluated its efficacy and quantified its safety performance and grade. We identified significant safety risk impacts across the three risk categories, safety-control level and specific areas that require improvement. The SEM model established a robust safety evaluation indicator system for comprehensive safety assessment of PB construction.Practical implicationsPractical recommendations provide valuable insights for decision-makers to enhance construction efficiency without compromising safety. This study contributed to the conceptual foundation and devised a novel method for evaluating safety performance in PB construction for safer and more efficient practices.Originality/valueThis study departed from the traditional method of calculating weights, opting instead for the SEM method to determine the weights of individual risk indicators. Additionally, we leveraged the cloud model to mitigate the influence of subjective factors in analyzing questionnaire survey responses. The feasibility and reliability of our proposed method were rigorously tested and verified by applying it to the PB case.
Exploring influences shaping university students’ attitudes toward green buildings
Authors: Reams Margaret , Awolesi Oluwafemi 
Published: October 2024

Purpose
This study aims to investigate university students’ awareness of green residences and the factors influencing their willingness to pay for living in such accommodations.

Design/methodology/approach
This mixed-methods research involved 493 participants from Louisiana State University, USA. Data were collected through a survey questionnaire distributed via departmental and collegiate administrators. Both descriptive and inferential statistical tools were used to analyze the data.

Findings
Moderate familiarity with green building concepts, alongside a high degree of interest in residing in a green building prevailed among participants. A substantial majority of the students, 79.8%, excluding homeowners (n = 63), would consider investing at least double their current rent. Influencing factors encompassed peer influence, alignment with personal values, proximity to campus, energy efficiency, cost savings, sustainable materials, a reduced environmental impact and comfort. Despite initial concerns about high costs, optimism was expressed concerning the normalization of green buildings in university housing in the future.

Practical implications
The findings are beneficial to housing administrators and real estate developers when applied to other university communities, guiding them in marketing strategies for sustainability initiatives.

Originality/value
The survey instrument served as a primer on green building literacy while also eliciting nuanced responses from participants. Questions regarding financial considerations offer unique insights for decision-makers, and the study design lays the foundation for future comprehensive investigations in this relatively underexplored area.
Donating or collecting? Differential impact mechanisms of knowledge sharing through enterprise social media on employees' innovative work behavior
Authors: Wang Changyu , Chen Kexin , Feng Jiaojiao , Chen Jianyu 
Published: October 2024

PurposeIn the digital age, enterprise social media (ESM) has been broadly used to break the barrier of space and time for knowledge sharing involving two activities—knowledge donating and knowledge collecting. Yet, hardly any study has thus far explored how and when knowledge donating and knowledge collecting through ESM impact employees’ innovative work behavior (IWB). Therefore, drawing on the social exchange theory, this study aims to introduce relational social capital as a mediator and performance climate as a moderator to examine differential impact mechanisms of knowledge donating and knowledge collecting through ESM on employee IWB.Design/methodology/approachFirst, we collected 225 survey data from employees who used ESM at work. Then, according to the two-stage procedure of the partial least square structural equation modeling method, we established and analyzed a moderated mediation model based on the context of ESM.FindingsResults demonstrate that knowledge donating through ESM has a positive relationship with IWB, but knowledge collecting through ESM has no such relationship. Through the mediation of relational social capital, both knowledge donating and knowledge collecting through ESM have indirect positive relationships with IWB, but knowledge collecting through ESM has a greater one. Moreover, when employees perceived a relatively high-performance climate, the positive relationships of knowledge donating and knowledge collecting through ESM with IWB via relational social capital would be stronger.Practical implicationsOn the one hand, organizational managers should not only focus on different innovation benefits caused by knowledge donating and knowledge collecting through ESM but also should realize differences in the direct/indirect effect of knowledge donating and knowledge collecting through ESM on IWB. On the other hand, employees need to proactively enhance their innovative ability by considering knowledge donating/collecting channels (e.g. ESM), gaining successful competitiveness. Moreover, both managers and employees should realize that different innovation benefits of knowledge sharing activities through ESM can be further strengthened when establishing a high-performance climate.Originality/valueDifferent from prior literature on knowledge sharing or ESM, this study contributes to analyzing the differential effects of two dimensions (i.e. knowledge donating and knowledge collecting) of knowledge sharing on employees' IWB in the context of ESM.
The recipe to sweet success: competitive advantages for a Spanish chocolatier, 1874–1910
Authors: Jou-Badal Xavier 
Published: October 2024

Purpose
The purpose of this paper is to unravel the success story of a family business, while engaging with debates in business and management research through the application of corporate strategy frameworks. Implement a structured methodology to evaluate a company’s strategic efforts and explore how businesses historically achieved competitive advantages over time.

Design/methodology/approach
This company analysis adopts a longitudinal approach on competitive advantages, moving beyond traditional cross-sectional business to transform static models into dynamic ones. It adheres to Michael Porter’s Value Chain model (1985) and his subsequent revisions (1996, 2001) to explore how competitive advantages emerge and are sustained. Data exploration leverages an extensive archival corporate collection comprising approximately 100,000 documents, enabling a thorough examination of value chain activities through primary and secondary sources.

Findings
Chocolates Amatller effectively channelled its competitive advantages through strategic operational areas, including purchasing cocoa at prices below market value, using strong marketing tools such as illustrative collectible cards and posters and implementing skilful financial strategies.

Originality/value
Examine why, when and how a Spanish chocolatier achieved a position of prominence among Spain’s foremost industrial figures by constructing Barcelona’s iconic Casa Amatller.
Weighing user's privacy calculus on personal information disclosure: the moderating effect of social media identification
Authors: Chen Xi , Wu Maomao , Cheng Chen , Mou Jian 
Published: October 2024

PurposeWith the widespread collection and utilization of user data, privacy security has become a crucial factor influencing online engagement. In response to the growing concern about privacy security issues on social media, this research aims to examine the key causes of social media users' privacy calculus and how the balance between perceived privacy risks and benefits affects users' privacy concerns and their subsequent willingness to disclose personal information.Design/methodology/approachThe characteristics of the privacy calculus were extracted through partially structured interviews. A research model derived from privacy calculus theory was constructed, and latent variable modeling was employed to validate the proposed hypotheses.FindingsInformation sensitivity, experiences of privacy violations, social influence and the effectiveness of privacy policies influence users' privacy calculus. Privacy risk positively influences privacy concerns. Personal information disclosure willingness is positively influenced by privacy benefits and negatively influenced by privacy concerns, with both paths moderated by social media identification.Originality/valueThis study explores the key antecedents of users' privacy calculus and how these factors influence privacy concerns and subsequent willingness to disclose information on social media. It offers new insights into the privacy paradox observed within social media by validating the moderating role of social media identification on users' information disclosure willingness.