bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘Primary’ Factors in Intergenerational Class Mobility in Europe: Results from the Application of a Topological Model
Authors: Bukodi Erzsébet , Goldthorpe John H 
Published: May 2020

Abstract
There is little consensus in past research regarding the sources of cross-national variation in relative rates of intergenerational class mobility. We argue for the importance of distinguishing between ‘primary’ factors that explain why inequalities in relative chances of mobility exist in the first place, and ‘secondary’ factors that explain variation in these chances. Our main aim is to identify primary factors. We follow Erikson and Goldthorpe in developing a topological model of the endogenous mobility regime which we then apply to class mobility tables for 30 European nations. The model claims that inequalities in relative class mobility chances derive from three kinds of effect: those of class hierarchy, class inheritance and status affinity. When applied to all nations together, the model accounts for the very large part of the total association between class origins and destinations. Clear differences, however, show up between the mobility regimes of men and of women: gender is a secondary factor. When the model is applied separately to nations in the high fluidity and low fluidity sets that we distinguish, we find that the effects of the primary factors identified by our model strengthen in a consistent way from the former set to the latter, although it seems likely that different secondary factors may operate in offsetting ways. Finally, when the model is applied to the groups of nations that we distinguish within the high and low fluidity sets, few differences in the strengths of the various effects show up, but those that do are highly concentrated in post-socialist nations and can be related to secondary factors of a specific kind associated with particular features of their transitions to some form of capitalist democracy.
Defining the normal QT interval in newborns: the natural history and reference values for the first 4 weeks of life
Authors: Pærregaard Maria Munk , Hvidemose Sara Osted , Pihl Christian , Sillesen Anne-Sophie , Parvin Solmaz Bagheri , Pietersen Adrian , Iversen Kasper Karmark , Bundgaard Henning , Christensen Alex Hørby 
Published: May 2020

Abstract

Aims
Evaluation of the neonatal QT interval is important to diagnose arrhythmia syndromes and evaluate side effects of drugs. We aimed at describing the natural history of the QT interval duration during the first 4 weeks of life and to provide reference values from a large general population sample.

Methods and results
The Copenhagen Baby Heart Study is a prospective general population study that offered cardiac evaluation of newborns. Eight-lead electrocardiograms were obtained and analysed with a computerized algorithm with manual validation. We included 14 164 newborns (52% boys), aged 0–28 days, with normal echocardiograms. The median values (ms, 2–98%ile) for the corrected intervals QTc (Bazett), QTc (Hodges), QTc (Fridericia), and QTc (Framingham) were 419 (373–474), 419 (373–472), 364 (320–414), and 363 (327–405). During the 4 weeks, we observed a small decrease of QTcFramingham, and an increase of QTcHodges (both P &lt; 0.01), while QTcBazett and QTcFridericia did not change (P &gt; 0.05). Applying published QT interval cut-off values resulted in 5–25% of the newborns having QT prolongation. Uncorrected QT intervals decreased linearly with increasing heart rate (HR). Sex and infant size did not affect the QT interval and the gestational age (GA) only showed an effect when comparing the extreme low- vs. high GA groups (≤34 vs. ≥42 weeks, P = 0.021).

Conclusion
During the 4 weeks QTcFramingham and QTcHodges showed minor changes, whereas QTcBazett and QTcFridericia were stable. The QT interval was unaffected by sex and infant size and GA only showed an effect in very premature newborns. Reference values for HR-specific uncorrected QT intervals may facilitate a more accurate diagnosis of newborns with abnormal QT intervals.
Efficacy of high-power and short-duration ablation in patients with atrial fibrillation: a prospective randomized controlled trial
Authors: Shin Dong Geum , Ahn Jinhee , Han Sang-Jin , Lim Hong Euy 
Published: May 2020

Abstract

Aims
The formation of radiofrequency lesions depends on the power and duration of ablation, and the contact force (CF). Although high power (HP) creates continuous and transmural lesions, most centres still use 25–30 W for 30–40 s for safety reasons. We evaluated the clinical efficacy and safety of a HP and short-duration (HPSD) strategy for atrial fibrillation (AF) ablation.

Methods and results
One hundred and fifty patients [58.2 ± 10.0 years, 48% with paroxysmal AF (PAF)] scheduled for index AF ablation using a CF-sensing catheter were randomly assigned to three groups [30 W, 40 W, and 50 W at ablation sites of anterior, roof, and inferior segments of pulmonary vein (PV) antra and roof line between each upper PV]. In 25–30 W for ≤20 s was applied at posterior wall ablation site in all subjects. Compared with the 30 W and 40 W groups, procedure (P &lt; 0.001) and ablation times (P &lt; 0.001) were shorter and ablation number for PV isolation (P &lt; 0.001) was smaller in the 50 W group. There were no significant differences in the CF and ablation index (AI) among the three groups. There were no significant differences in the procedure-related complication rates. During the 12-month follow-up, AF recurred in 24 (16%) patients with no significant difference among the groups (P = 0.769). In the multivariate analysis, non-PAF [hazard ratio (HR) 2.836, P = 0.045] and AI (HR 0.983, P = 0.001) were independent risk factors for AF recurrence.

Conclusion
Radiofrequency ablation with HPSD is a safe and effective strategy with reduced ablation number and shortened procedure time compared to conventional ablation.
Costs and effects of conventional vision screening and photoscreening in the Dutch preventive child health care system
Authors: Van der Ploeg Catharina P B , Grevinga Manon , Eekhout Iris , Vlasblom Eline , Lanting Caren I , van Minderhout H M (Ellen) , van Dijk – van der Poel Jolande , van den Akker-van Marle M Elske , Verkerk Paul H 
Published: May 2020

Abstract

Background
Little is known about costs and effects of vision screening strategies to detect amblyopia. Aim of this study was to compare costs and effects of conventional (optotype) vision screening, photoscreening or a combination in children aged 3–6 years.

Methods
Population-based, cross-sectional study in preventive child health care in The Hague. Children aged 3 years (3y), 3 years and 9 months (3y9m) or 5–6 years (5/6y) received the conventional chart vision screening and a test with a photoscreener (Plusoptix S12C). Costs were based on test duration and additional costs for devices and diagnostic work-up.

Results
Two thousand, one hundred and forty-four children were included. The estimated costs per child screened were €17.44, €20.37 and €6.90 for conventional vision screening at 3y, 3y9m and 5/6y, respectively. For photoscreening, these estimates were €6.61, €7.52 and €9.40 and for photoscreening followed by vision screening if the result was unclear (combination) €9.32 (3y) and €9.33 (3y9m). The number of children detected with amblyopia by age were 9, 14 and 5 (conventional screening), 6, 13 and 3 (photoscreening) and 10 (3y) and 15 (3y9m) (combination), respectively. The estimated costs per child diagnosed with amblyopia were €1500, €1050 and €860 for conventional vision screening, €860, €420 and €1940 for photoscreening and €730 (3y) and €450 (3y9m) for the combination.

Conclusions
Combining photoscreening with vision screening seems promising to detect amblyopia in children aged 3y/3y9m, whereas conventional screening seems preferable at 5/6y. As the number of study children with amblyopia is small, further research on the effects of these screening alternatives in detecting children with amblyopia is recommended.
Is impending or actual death of a spouse with dementia bad for mental health? Antidepressant use surrounding widowhood
Authors: Einiö Elina , Metsä-Simola Niina , Saarioja Saska , Martikainen Pekka , Korhonen Kaarina 
Published: May 2020

Abstract

Background
Previous studies have shown that the risk of death is elevated after the death of a spouse. Limited evidence is available on changes in mental health before and after bereavement among individuals whose spouse dies of dementia.

Methods
We analyzed changes in the 3-month prevalence of antidepressant use for 5 years before and 3 years after widowhood for individuals whose spouses died of either dementia or other causes. The study used data of 41 855 widowed individuals and repeated-measures logistic regression analyses. Antidepressant use was based on the prescription register of Finland in 1995–2007.

Results
Five years before widowhood, the 3-month prevalence for antidepressant use was 4% among widowing men and 6–7% among widowing women, regardless of whether the spouse died of dementia or other causes. Further changes in antidepressant use depended on a spouse’s cause of death. Women whose spouses died of dementia experienced large increase in antidepressant use starting from 3 to 4 years prior to widowhood, whereas other widows did not experience large increase until after widowhood. The trajectories for men were similar. Antidepressant use following the death of a spouse with dementia stayed at a new heightened level after widowhood.

Conclusions
The trajectories of antidepressant use indicate that the process of losing a spouse to dementia is bad for mental health, already a few years prior to widowhood. There are no clear improvements in mental health after the death of a spouse with dementia. Support services for individuals whose spouses’ dementia progresses are needed.
Beyond the dual revolution: revisiting capitalism in modern France
Authors: Yates Alexia , Vause Erika 
Published: May 2020

Abstract—
What communication has there been—and should there be—between the history of modern France and the new history of capitalism? In this introduction to a special issue, the authors trace the recent development of a new scholarly interest in the history of capitalism, outlining the ways that this field intersects with existing research on the history of economic life in nineteenth-century France and suggesting how historians of France can push this scholarship into new directions. In particular, French history’s global turn, the strength of historiography on consumerism and marketization, the place of (revolutionary) property in law and culture and the significance of cultural history represent particular vectors through which the history of nineteenth-century France and the new history of capitalism can develop.
The Land of Cockaigne: The German Art Market and the First World War*
Authors: Alvi Maddalena 
Published: May 2020

Abstract
This article reconstructs changes in the German art market during the First World War on the basis of an art-price index for the years 1910 to 1918. The art market during the war was closely tied to the monetary deterioration of the German economy, which undermined trust in paper money. Through an analysis of prices and auction reports, this article shows that from 1916 onwards, the public invested in art, evidence that the pattern of expenditure for tangible assets more commonly associated with postwar hyperinflation had already taken off during the war. At the same time, the First World War precipitated the disintegration of a bourgeois milieu of collectors, marking a transition from the traditional market into a modern and rational auction more open to speculative incentives. The inflow of new buyers shook the hierarchies and conventions of the market. Reports published in the auction journal Der Kunstmarkt provide insight into the reactions of insiders from Germany’s Bildungsbürgertum to this transformation. The more visible the monetary value of art, the bigger these insiders’ contempt for newcomers, whom they found guilty of overthrowing the rules of patronage of the old market. Derogatory depictions of new buyers as either investors or war profiteers were a means for insiders to define their own socio-cultural standing at a time of crisis, establishing a pattern that would subsequently characterize many postwar debates on both politics and culture.
What Can We Learn From the Past About the Future of Gerontology: Using Natural Language Processing to Examine the Field of Gerontology
Authors: Ayalon Liat , Lev Sagit , Lev Gil 
Published: May 2020

AbstractObjectivesWe thematically classified all titles of eight top psychological and social gerontology journals over a period of six decades, between 1961 and February 2020. This was done in order to provide a broad overview of the main topics that interest the scientific community over time and place.MethodWe used natural language processing in order to analyze the data. In order to capture the diverse thematic clusters covered by the journals, a cluster analysis, based on “topic detection” was conducted.ResultsA total of 15,566 titles were classified into 38 thematic clusters. These clusters were then compared over time and geographic location. The majority of titles fell into a relatively small number of thematic clusters and a large number of thematic clusters were hardly addressed. The most frequently addressed thematic clusters were (a) Cognitive functioning, (b) Long-term care and formal care, (c) Emotional and personality functioning, (d) health, and (e) Family and informal care. The least frequently addressed thematic clusters were (a) Volunteering, (b) Sleep, (c) Addictions, (d) Suicide, and (e) Nutrition. There was limited variability over time and place with regard to the most frequently addressed themes.DiscussionDespite our focus on journals that specifically address psychological and social aspects of gerontology, the biomedicalization of the field is evident. The somewhat limited variability of themes over time and place is disconcerting as it potentially attests to slow progress and limited attention to contextual/societal variations.
Tomographic filtering via the generalized inverse: a way to account for seismic data uncertainty
Authors: Freissler Roman , Zaroli Christophe , Lambotte Sophie , Schuberth Bernhard S A 
Published: May 2020

SUMMARY
Tomographic-geodynamic model comparisons are a key component in studies of the present-day state and evolution of Earth’s mantle. To account for the limited seismic resolution, ‘tomographic filtering’ of the geodynamically predicted mantle structures is a standard processing step in this context. The filtered model provides valuable information on how heterogeneities are smeared and modified in amplitude given the available seismic data and underlying inversion strategy. An important aspect that has so far not been taken into account are the effects of data uncertainties. We present a new method for ‘tomographic filtering’ in which it is possible to include the effects of random and systematic errors in the seismic measurements and to analyse the associated uncertainties in the tomographic model space. The ‘imaged’ model is constructed by computing the generalized-inverse projection (GIP) of synthetic data calculated in an earth model of choice. An advantage of this approach is that a reparametrization onto the tomographic grid can be avoided, depending on how the synthetic data are calculated. To demonstrate the viability of the method, we compute traveltimes in an existing mantle circulation model (MCM), add specific realizations of random seismic ‘noise’ to the synthetic data and apply the generalized inverse operator of a recent Backus–Gilbert-type global S-wave tomography. GIP models based on different noise realizations show a significant variability of the shape and amplitude of seismic anomalies. This highlights the importance of interpreting tomographic images in a prudent and cautious manner. Systematic errors, such as event mislocation or imperfect crustal corrections, can be investigated by introducing an additional term to the noise component so that the resulting noise distributions are biased. In contrast to Gaussian zero-mean noise, this leads to a bias in model space; that is, the mean of all GIP realizations also is non-zero. Knowledge of the statistical properties of model uncertainties together with tomographic resolution is crucial for obtaining meaningful estimates of Earth’s present-day thermodynamic state. A practicable treatment of error propagation and uncertainty quantification will therefore be increasingly important, especially in view of geodynamic inversions that aim at ‘retrodicting’ past mantle evolution based on tomographic images.
3-D joint geodetic and strong-motion finite fault inversion of the 2008 May 12, Wenchuan, China Earthquake
Authors: Ramirez-Guzman Leonardo , Hartzell Stephen 
Published: May 2020

SUMMARYWe present a source inversion of the 2008 Wenchuan, China earthquake, using strong-motion waveforms and geodetic offsets together with 3-D synthetic ground motions. We applied the linear multiple time window technique considering geodetic and dynamic Green's functions computed with the finite-element method and the reciprocity and Strain Green's Tensor formalism. All ground motion estimates, valid up to 1 Hz, accounted for 3-D effects, including the topography and the geometry of the Beichuan and Pengguan faults. Our joint inversion has a higher moment (M0) than a purely geodetic inversion and the slip distribution presents differences when compared to 1-D model source inversions. The moment is estimated to be M0 = 1.2 × 1021 N·m, slightly larger than other works. Our results show that considering a complex 3-D structure reduces the size of large areas of 10 m slip or greater by distributing it in wider zones, with reduced slips, in the central portion of the Beichuan and the Pengguan faults. Finally, we compare our source with a relocated aftershock catalogue and conclude that the 4–5 m slip contours approximately bound the absence or presence of aftershocks.
Management of Acute Severe Ulcerative Colitis in a Pregnant Woman With COVID-19 Infection: A Case Report and Review of the Literature
Authors: Rosen Melissa H , Axelrad Jordan , Hudesman David , Rubin David T , Chang Shannon 
Published: May 2020

AbstractFirst detected in Wuhan, China, the novel 2019 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an enveloped RNA beta-coronavirus responsible for an unprecedented, worldwide pandemic caused by COVID-19. Optimal management of immunosuppression in inflammatory bowel disease (IBD) patients with COVID-19 infection currently is based on expert opinion, given the novelty of the infection and the corresponding lack of high-level evidence in patients with immune-mediated conditions. There are limited data regarding IBD patients with COVID-19 and no data regarding early pregnancy in the era of COVID-19. This article describes a patient with acute severe ulcerative colitis (UC) during her first trimester of pregnancy who also has COVID-19. The case presentation is followed by a review of the literature to date on COVID-19 in regard to inflammatory bowel disease and pregnancy, respectively.
Green Functions for the Pressure of Stokes Systems
Authors: Choi Jongkeun , Dong Hongjie 
Published: May 2020

Abstract
We study Green functions for the pressure of stationary Stokes systems in a (possibly unbounded) domain $\Omega \subset \mathbb{R}^d$, where $d\ge 2$. We construct the Green function when coefficients are merely measurable in one direction and have Dini mean oscillation in the other directions and $\Omega $ is such that the divergence equation is solvable there. We also establish global pointwise bounds for the Green function and its derivatives when coefficients have Dini mean oscillation and $\Omega $ has a $C^{1,\textrm{Dini}}$ boundary. Green functions for the flow velocity of Stokes systems are also considered.
Effect of Interleukin-36β on Activating Autophagy of CD4+CD25+ Regulatory T cells and Its Immune Regulation in Sepsis
Authors: Ge Yun , Huang Man , Dong Ning , Yao Yong-ming 
Published: May 2020

AbstractBackgroundCD4+CD25+ regulatory T cells (Tregs) play an essential role in sepsis-induced immunosuppression. How, the effects of interleukin 36 (IL-36) cytokines on CD4+CD25+ Tregs and their underlying mechanism(s) in sepsis remain unknown.MethodsOur study was designed to investigate the impacts of IL-36 cytokines on murine CD4+CD25+ Tregs in presence of lipopolysaccharide (LPS) and in a mouse model of sepsis induced by cecal ligation and puncture (CLP). IL-36–activated autophagy was evaluated by autophagy markers, autophagosome formation, and autophagic flux.ResultsIL-36α, IL-36β, and IL-36γ were expressed in murine CD4+CD25+ Tregs. Stimulation of CD4+CD25+ Tregs with LPS markedly up-regulated the expression of these cytokines, particularly IL-36β. IL-36β strongly suppressed CD4+CD25+ Tregs under LPS stimulation and in septic mice challenged with CLP, resulting in the amplification of T-helper 1 response and the proliferation of effector T cells. Mechanistic studies revealed that IL-36β triggered autophagy of CD4+CD25+ Tregs. These effects were significantly attenuated in the presence of the autophagy inhibitor 3-methyladenine or Beclin1 knockdown. In addition, early IL-36β administration reduced the mortality rate in mice subjected to CLP. Depletion of CD4+CD25+ Tregs before the onset of sepsis obviously abrogated IL-36β–mediated protection against sepsis.ConclusionsThese findings suggest that IL-36β diminishes the immunosuppressive activity of CD4+CD25+ Tregs by activating the autophagic process, thereby contributing to improvement of the host immune response and prognosis in sepsis.
Towards personalized guidelines: using machine-learning algorithms to guide antimicrobial selection
Authors: Moran Ed , Robinson Esther , Green Christopher , Keeling Matt , Collyer Benjamin 
Published: May 2020

Abstract

Background
Electronic decision support systems could reduce the use of inappropriate or ineffective empirical antibiotics. We assessed the accuracy of an open-source machine-learning algorithm trained in predicting antibiotic resistance for three Gram-negative bacterial species isolated from patients’ blood and urine within 48 h of hospital admission.

Methods
This retrospective, observational study used routine clinical information collected between January 2010 and October 2016 in Birmingham, UK. Patients from whose blood or urine cultures Escherichia coli, Klebsiella pneumoniae or Pseudomonas aeruginosa was isolated were identified. Their demographic, microbiology and prescribing data were used to train an open-source machine-learning algorithm—XGBoost—in predicting resistance to co-amoxiclav and piperacillin/tazobactam. Multivariate analysis was performed to identify predictors of resistance and create a point-scoring tool. The performance of both methods was compared with that of the original prescribers.

Results
There were 15 695 admissions. The AUC of the receiver operating characteristic curve for the point-scoring tools ranged from 0.61 to 0.67, and performed no better than medical staff in the selection of appropriate antibiotics. The machine-learning system performed statistically but marginally better (AUC 0.70) and could have reduced the use of unnecessary broad-spectrum antibiotics by as much as 40% among those given co-amoxiclav, piperacillin/tazobactam or carbapenems. A validation study is required.

Conclusions
Machine-learning algorithms have the potential to help clinicians predict antimicrobial resistance in patients found to have a Gram-negative infection of blood or urine. Prospective studies are required to assess performance in an unselected patient cohort, understand the acceptability of such systems to clinicians and patients, and assess the impact on patient outcome.