bluuebunny/crossref_metadata_2025_split huggingface dataset:
Retention of subcutaneous abatacept for the treatment of rheumatoid arthritis: real-world results from the ASCORE study: an international 2-year observational study
Authors: Alten Rieke , Mariette Xavier , Flipo René-Marc , Caporali Roberto , Buch Maya H. , Patel Yusuf , Marsal Sara , Sanmartí Raimon , Nurmohamed Michael T. , Griffiths Hedley , Peichl Peter , Bannert Bettina , Chartier Melanie , Connolly Sean E. , Lozenski Karissa , Rauch Christiane 
Published: May 2022

Abstract
Objectives
To evaluate retention, efficacy, and safety of subcutaneous (SC) abatacept over 2 years in patients with moderate-to-severe RA in the Abatacept SubCutaneOus in Routine clinical practicE (ASCORE) study.

Methods
Patients with RA who initiated SC abatacept 125 mg once weekly were enrolled in the international, observational, prospective multicentre ASCORE study into biologic-naïve or ≥ 1 prior biologic failure cohorts. Primary endpoint: abatacept retention rate at 2 years. Secondary endpoints: proportion of patients with good/moderate EULAR response rates based on DAS28 (ESR), low disease activity and/or remission according to DAS28 (ESR; ≤ 3.2/ < 2.6), SDAI (≤ 11/ ≤ 3.3), CDAI (≤ 10/ ≤ 2.8), and Boolean criteria. Retention rate by baseline serostatus was evaluated post hoc.

Results
Overall, 47% of patients remained on abatacept for 2 years, irrespective of treatment line. Higher abatacept retention rates were associated with lower prior biologic exposure. Generally, clinical outcomes showed that the proportion of patients with low disease activity/remission was higher in biologic-naïve patients (vs biologic-failure) and similar in those with 1 and ≥ 2 prior biologic failures. In patients on treatment at 2 years, good/moderate EULAR response rates of ~ 80% were consistently noted irrespective of prior biologic exposure. Across treatment lines, retention was greater in patients with seropositive (vs seronegative) RA. Patients with rheumatoid factor/anti-citrullinated protein antibody single-positive RA who were bio-naïve had higher retention than patients who were bio-experienced.

Conclusions
In the ASCORE study, SC abatacept retention was 47% at 2 years with good clinical outcomes and was well-tolerated in the real-world setting. Abatacept retention and clinical response rates were higher in patients who received abatacept as an earlier- versus later-line biologic drug treatment and in those with seropositive RA.

Trial registration
ClinicalTrials.gov, NCT02090556.
A longitudinal study on the effects of COVID-19 pandemic on non-motor symptoms in Parkinson’s disease
Authors: D’Iorio Alfonsina , Baiano Chiara , Maraucci Giovanna , Vitale Carmine , Amboni Marianna , Santangelo Gabriella 
Published: May 2022

Abstract
Introduction
The COVID-19 pandemic led to psychological consequences on people’s mental health, representing a condition of increased vulnerability for the weakest sections of population, including elderly patients with Parkinson’s disease (PD).
This longitudinal study aimed at exploring the impact of the most frequent non-motor symptoms and their contribute on health-related quality of life of PD patients after the COVID-19 outbreak, in comparison with the pre-pandemic status.

Methods
Forty-two non-demented PD patients underwent a first assessment between December 2018 and January 2020 (T0). Then, between March and May 2021 (T1), they were contacted again and asked to complete the second assessment. Levels of global functioning, several non-motor symptoms (i.e. depression, apathy, anxiety, anhedonia) and health-related quality of life were investigated.

Results
Results of the the paired Wilcoxon signed-rank test showed that at T1, PD patients scored lower on the emotional subscale of the DAS, Z =  − 2.49; p = 0.013; Cohen dz = 0.691. Higher scores of the TEPS total score, Z =  − 2.38; p = 0.025; Cohen dz = 0.621, and LEDD, Z =  − 2.63; p = 0.008; Cohen dz = 0.731, were also reported at T1.

Conclusion
The present study suggested that self-isolation at home might lead to a reduction of apathy and anhedonia in PD patients due to the increase in social support provided by families during COVID-19 restrictions. This evidence brings out the need of a consistent and persistent social support which might be represented by caregivers or/and social assistive robotics.
A progressive flow-routing model for rapid assessment of debris-flow inundation
Authors: Gorr Alexander N. , McGuire Luke A. , Youberg Ann M. , Rengers Francis K. 
Published: May 2022

AbstractDebris flows pose a significant hazard to communities in mountainous areas, and there is a continued need for methods to delineate hazard zones associated with debris-flow inundation. In certain situations, such as scenarios following wildfire, where there could be an abrupt increase in the likelihood and size of debris flows that necessitates a rapid hazard assessment, the computational demands of inundation models play a role in their utility. The inability to efficiently determine the downstream effects of anticipated debris-flow events remains a critical gap in our ability to understand, mitigate, and assess debris-flow hazards. To better understand the downstream effects of debris flows, we introduce a computationally efficient, reduced-complexity inundation model, which we refer to as the Progressive Debris-Flow routing and inundation model (ProDF). We calibrate ProDF against mapped inundation from five watersheds near Montecito, CA, that produced debris flows shortly after the 2017 Thomas Fire. ProDF reproduced 70% of mapped deposits across a 40 km2 study area. While this study focuses on a series of post-wildfire debris flows, ProDF is not limited to simulating debris-flow inundation following wildfire and could be applied to any scenario where it is possible to estimate a debris-flow volume. However, given its ability to reproduce mapped debris-flow deposits downstream of the 2017 Thomas Fire burn scar, and the modest run time associated with a simulation over this 40 km2 study area, results suggest ProDF may be particularly promising for post-wildfire hazard assessment applications.
Payments from Households to Distant Polluting Firms
Authors: Dijkstra Bouwe R. 
Published: May 2022

AbstractWe investigate a novel way to encourage separation between firms, causing local pollution, and their victims (households): payments from households to distant polluting firms. These payments do not require monitoring of firms’ emissions or their abatement costs. In our model, households and firms can choose from two locations (A and B, with A larger than B). Households incur environmental damage from firms in the same location. Under laissez faire, payments from households in one location (say A) to firms in the other location (say B) will prompt firms to move from A to B and to stay there, thus reducing damage to households in A. The maximum that households are willing to pay temporarily is the amount that currently makes them indifferent between A and B. The payments make A less attractive to firms as well as to households. The unique positive-payment equilibrium implements the global welfare optimum where laissez faire does not. We examine from which starting points this payment equilibrium can be reached.
Clinical application of CMR in cardiomyopathies: evolving concepts and techniques
Authors: Merlo Marco , Gagno Giulia , Baritussio Anna , Bauce Barbara , Biagini Elena , Canepa Marco , Cipriani Alberto , Castelletti Silvia , Dellegrottaglie Santo , Guaricci Andrea Igoren , Imazio Massimo , Limongelli Giuseppe , Musumeci Maria Beatrice , Parisi Vanda , Pica Silvia , Pontone Gianluca , Todiere Giancarlo , Torlasco Camilla , Basso Cristina , Sinagra Gianfranco , Filardi Pasquale Perrone , Indolfi Ciro , Autore Camillo , Barison Andrea 
Published: May 2022

AbstractCardiac magnetic resonance (CMR) has become an essential tool for the evaluation of patients affected or at risk of developing cardiomyopathies (CMPs). In fact, CMR not only provides precise data on cardiac volumes, wall thickness, mass and systolic function but it also a non-invasive characterization of myocardial tissue, thus helping the early diagnosis and the precise phenotyping of the different CMPs, which is essential for early and individualized treatment of patients. Furthermore, several CMR characteristics, such as the presence of extensive LGE or abnormal mapping values, are emerging as prognostic markers, therefore helping to define patients’ risk. Lastly new experimental CMR techniques are under investigation and might contribute to widen our knowledge in the field of CMPs. In this perspective, CMR appears an essential tool to be systematically applied in the diagnostic and prognostic work-up of CMPs in clinical practice. This review provides a deep overview of clinical applicability of standard and emerging CMR techniques in the management of CMPs.
Development of a Computational Policy Model for Comparing the Effect of Compensation Scheme Policies on Recovery After Workplace Injury
Authors: Thompson Jason , Cruz-Gambardella Camilo 
Published: May 2022

AbstractIntroduction The direct comparison of real-world workers’ compensation scheme management policies and their impact on aspects of scheme performance such as health and return to work outcomes, financial sustainability, and client experience metrics is made difficult through existing differences in scheme design that go beyond the factors of interest to the researcher or policymaker. Disentangling effects that are due purely to the result of policy and structural differences between schemes or jurisdictions to determine ‘what works’ can be difficult. Method We present a prototype policy exploration tool, ‘WorkSim’, built using an agent-based model and designed to enable workers’ compensation system managers to directly compare the effect of simulated policies on the performance of workers compensation systems constructed using agreed and transparent principles. Results The utility of the model is demonstrated through and case-study comparison of overall scheme performance metrics across 6 simple policy scenarios. Discussion Policy simulation models of the nature described can be useful tools for managers of workplace compensation and rehabilitation schemes for trialing policy and management options ahead of their real-world implementation.
CT-based radiomics modeling for skull dysmorphology severity and surgical outcome prediction in children with isolated sagittal synostosis: a hypothesis-generating study
Authors: Calandrelli Rosalinda , Boldrini Luca , Tran Huong Elena , Quinci Vincenzo , Massimi Luca , Pilato Fabio , Lenkowicz Jacopo , Votta Claudio , Colosimo Cesare 
Published: May 2022

Abstract
Purpose
To investigate the potentialities of radiomic analysis and develop radiomic models to predict the skull dysmorphology severity and post-surgical outcome in children with isolated sagittal synostosis (ISS).

Materials and methods
Preoperative high-resolution CT scans of infants with ISS treated with surgical correction were retrospectively reviewed. The sagittal suture (ROI_entire) and its sections (ROI_anterior/central/posterior) were segmented. Radiomic features extracted from ROI_entire were correlated to the scaphocephalic severity, while radiomic features extracted from ROI_anterior/central/posterior were correlated to the post-surgical outcome. Logistic regression models were built from selected radiomic features and validated to predict the scaphocephalic severity and post-surgical outcome.

Results
A total of 105 patients were enrolled in this study. The kurtosis was obtained from the feature selection process for both scaphocephalic severity and post-surgical outcome prediction. The model predicting the scaphocephalic severity had an area under the curve (AUC) of the receiver operating characteristic of 0.71 and a positive predictive value of 0.83 for the testing set. The model built for the post-surgical outcome showed an AUC (95% CI) of 0.75 (0.61;0.88) and a negative predictive value (95% CI) of 0.95 (0.84;0.99).

Conclusion
Our results suggest that radiomics could be useful in quantifying tissue microarchitecture along the mid-suture space and potentially provide relevant biological information about the sutural ossification processes to predict the onset of skull deformities and stratify post-surgical outcome.
Static Electricity: Institutional and Ideational Barriers to China’s Market Reforms
Authors: Davidson Michael R. , Pearson Margaret M. 
Published: May 2022

AbstractChina’s “economic juggernaut” is often noted to have arisen from successful market reforms carried out in the context of high state capacity. In contrast, we demonstrate that crucial reforms to replace central planning with markets have stalled as a result of major barriers of two types: institutional and ideational. Focusing on the electricity sector, we find that market reforms pushed by China’s central government are hindered by deep inefficiencies that arise from the legacy plan and “plan-derived” institutions of subnational governments and grid companies, against which the central state has been largely ineffective. We also uncover fascinating ideational differences of the nature and purpose of “markets” that show how they often are envisioned more as a way to extend the planner’s “toolbox,” or to offer “salvation” for ailing incumbent firms, rather than to induce efficiency. Our empirical focus on three prominent types of “market-oriented” experiments in the electric power sector demonstrate clear limits to state capacity, limits that emanate from state actors rather than merely industry, despite high-priority central government goals of increasing efficiency, integrating renewable energy, and reducing emissions from the electricity sector.
Prediction of prognosis in patients with left ventricular dysfunction using three-dimensional strain echocardiography and cardiac magnetic resonance imaging
Authors: Aly M. F. A. , Kleijn S. A. , van Lenthe J. H. , Menken-Negroiu R. F. , Robbers L. F. , Beek A. M. , Kamp O. 
Published: May 2022

Abstract
Background
We evaluated three-dimensional speckle tracking echocardiography (3DSTE) strain and cardiac magnetic resonance (CMR) with delayed contrast enhancement (DCE) for the prediction of cardiac events in left ventricular (LV) dysfunction.

Methods
CMR and 3DSTE in 75 patients with ischaemic and 38 with non-ischaemic LV dysfunction were analysed and temporally correlated to cardiac events during 41 ± 9 months of follow-up.

Results
Cardiac events occurred in 44 patients, more in patients with ischaemic LV dysfunction. LV ejection fraction (LVEF), global circumferential and global area strain were reduced more in patients with more cardiac events, whereas 3DSTE LV end-systolic volumes and 3DSTE LV masses were larger. However, the area under the curve using receiver-operating characteristic analysis showed modest sensitivity and specificity for all evaluated parameters. Additionally, DCE did not differ significantly between the two groups. Univariate analysis showed ischaemic aetiology of LV dysfunction, LVEF and LV mass by CMR to be predictors of cardiac events with an increased relative risk of 2.4, 1.6 and 1.5, respectively. By multivariate analysis, only myocardial ischaemia and LVEF ≤ 39% were independent predictors of events (p = 0.004 and 0.005, respectively). Subgroup analysis in ischaemic and non-ischaemic patients showed only 3DSTE LV mass in ischaemic patients to have a significant association (p = 0.033) but without an increased relative risk.

Conclusion
LVEF calculated by 3DSTE or CMR were both good predictors of cardiac events in patients with LV dysfunction. A reduced LVEF ≤ 39% was associated with a 1.6-fold higher probability of a cardiac event. 3DSTE strain measurements and DCE-CMR did not add to the prognostic value of LVEF.
Belemmerende en bevorderende factoren voor het in praktijk brengen van alcoholinterventies in Nederlandse ziekenhuizen volgens daarbij betrokken zorgprofessionals
Authors: Kools Nathalie , van de Goor Ien , Bovens Rob H. L. M. , van de Mheen Dike , Rozema Andrea D. 
Published: May 2022

SamenvattingIntroductieAlcoholproblematiek komt vaker voor bij ziekenhuispatiënten dan bij de algemene bevolking. Veel ziekenhuizen slagen er echter niet in om mensen met alcoholproblematiek op te sporen en hierbij te interveniëren. Het doel van dit onderzoek was een verkenning van belemmerende en bevorderende factoren die zorgprofessionals ervaren bij het in praktijk brengen van alcoholinterventies in ziekenhuizen. Daarnaast verkenden wij welke alcoholinterventies worden gebruikt in de geselecteerde ziekenhuizen en welke stakeholders daarbij betrokken zijn.MethodeWe hebben semigestructureerde telefonische interviews afgenomen met twintig zorgprofessionals die in, of met, zes algemene ziekenhuizen (samen)werkten.ResultatenZorgprofessionals noemden belemmerende en bevorderende factoren op het gebied van protocol, motivatie, kennis en vaardigheden, patiëntkenmerken, interne en externe samenwerking/ondersteuning, middelen, rolgeschiktheid en maatschappelijke ondersteuning. Vijf categorieën van benaderingen om alcoholproblematiek op te sporen en hierbij in te grijpen, en achttien betrokken stakeholders van binnen en buiten het ziekenhuis werden geïdentificeerd.ConclusieHet realiseren van alcoholinterventies voor patiënten in Nederlandse ziekenhuizen lijkt nog in de kinderschoenen te staan. De respondenten benadrukken het belang van één duidelijk protocol voor de aanpak van alcoholproblematiek binnen ziekenhuizen, herhaalde trainingen rond alcoholgerelateerde kennis en vaardigheden, (klinische)championsdie zorgprofessionals ondersteunen, en het ontwikkelen en onderhouden van de samenwerking met stakeholders binnen en buiten het ziekenhuis.
Component reuse strategy (CRS) for continuous reinforced thermo-sets enabling circular economy
Authors: von Freeden Justus , Husemann Alexander , Caba Stefan 
Published: May 2022

AbstractA circular economy, effective technologies for the recycling and reuse of fiber-reinforced plastics (FRPs) are essential to keep these materials attractive for use in various products against the backdrop of stricter environmental regulations. This paper provides an overview of the current state of the art in the recycling and reuse of end-of-life (EOL) fiber reinforced plastic (FRP) products. A significant proportion of EOL FRP products are thermally recycled or used as fillers in the cement industry. Complementary to the existing approaches of structural reuse of FRP is presented in this paper as component reuse strategies (CRS). Both approaches avoid separation or destruction (downgrading) of the composite materials. An application example for the reuse of a carbon-fiber reinforced plastics (CFRP) base frame of an electric vehicle platform is given and analyzed with respect to known design for reuse approaches. The proposed CRS has great potential to complement existing approaches and slow down resource consumption. In addition, extended service life can make CFRP materials more economically attractive. However, further developments are needed as well as the transfer of the principle to other applications.
Complex system health condition estimation using tree-structured simple recurrent unit networks
Authors: Kang Weijie , Xiao Jiyang , Xue Junjie 
Published: May 2022

AbstractModern production has stricter requirements for the reliability of complex systems; thus, it is meaningful to estimate the health of complex systems. A complex system has diverse observation features and complex internal structures, which have been difficult to study with regard to health condition estimation. To describe continuous and gradually changing time-based characteristics of a complex system’s health condition, this study develops a feature selection model based on the information amount and stability. Then, a reliability tree analysis model is designed according to the selected relevant features, the reliability tree is developed using expert knowledge, and the node weight is calculated by the correlation coefficient generated during the feature selection process. Using the simple recurrent unit (SRU), which is a time series machine learning algorithm that achieves a high operating efficiency, the results of the reliability tree analysis are combined to establish a tree-structure SRU (T-SRU) model for complex system health condition estimation. Finally, NASA turbofan engine data are used for verification. Results show that the proposed T-SRU model can more accurately estimate a complex system’s health condition and improve the execution efficiency of the SRU networks by approximately 46%.
Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection
Authors: Mishra Arunodaya Raj , Rani Pratibha , Saha Abhijit , Senapati Tapan , Hezam Ibrahim M. , Yager Ronald R. 
Published: May 2022

AbstractSelecting the optimal renewable energy source (RES) is a complex multi-criteria decision-making (MCDM) problem due to the association of diverse conflicting criteria with uncertain information. The utilization of Fermatean fuzzy numbers is successfully treated with the qualitative data and uncertain information that often occur in realistic MCDM problems. In this paper, an extended complex proportional assessment (COPRAS) approach is developed to treat the decision-making problems in a Fermatean fuzzy set (FFS) context. First, to aggregate the Fermatean fuzzy information, a new Fermatean fuzzy Archimedean copula-based Maclaurin symmetric mean operator is introduced with its desirable characteristics. This proposed operator not only considers the interrelationships between multiple numbers of criteria, but also associates more than one marginal distribution, thus avoiding information loss in the process of aggregation. Second, new similarity measures are developed to quantify the degree of similarity between Fermatean fuzzy perspectives more effectively and are further utilized to compute the weights of the criteria. Third, an integrated Fermatean fuzzy-COPRAS approach using the Archimedean copula-based Maclaurin symmetric mean operator and similarity measure has been developed to assess and rank the alternatives under the FFS perspective. Furthermore, a case study of RES selection is presented to validate the feasibility and practicality of the developed model. Comparative and sensitivity analyses are used to check the reliability and strength of the proposed method.