bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Region of Birth and Advance Care Planning Documentation Among Older Australian Migrant Communities: A Multicenter Audit Study
Authors: Sinclair Craig , Sellars Marcus , Buck Kimberly , Detering Karen M , White Ben P , Nolte Linda 
Published: August 2020

Abstract

Objectives
This study explored associations between birth region, sociodemographic predictors, and advance care planning (ACP) uptake.

Methods
A prospective, multicenter, cross-sectional audit study of 100 sites across 8 Australian jurisdictions. ACP documentation was audited in the health records of people aged 65 years or older accessing general practice (GP), hospital, and long-term care facility (LTCF) settings. Advance care directives (ACDs) completed by the person (“person completed ACDs”) and ACP documents completed by a health professional or other person (“health professional or someone else ACP”) were counted. Hierarchical multilevel logistic regression assessed associations with birth region.

Results
From 4,187 audited records, 30.0% (1,152/3,839) were born outside Australia. “Person completed ACDs” were less common among those born outside Australia (21.9% vs 28.9%, X2 (1, N = 3,840) = 20.3, p &lt; .001), while “health professional or someone else ACP” was more common among those born outside Australia (46.4% vs 34.8%, X2 (1, N = 3,840) = 45.5, p &lt; .001). Strongest associations were found for those born in Southern Europe: “person completed ACD” (odds ratio [OR] = 0.56, 95% confidence interval [CI] = 0.36–0.88), and “health professional or someone else ACP” (OR = 1.41, 95% CI = 1.01–1.98). English-language proficiency and increased age significantly predicted both ACP outcomes.

Discussion
Region of birth is associated with the rate and type of ACP uptake for some older Australians. Approaches to ACP should facilitate access to interpreters and be sensitive to diverse preferences for individual and family involvement in ACP.
Impact of 3-D Earth structure on W-phase CMT parameters
Authors: Morales-Yáñez Catalina , Duputel Zacharie , Rivera Luis 
Published: August 2020

SUMMARYWe investigate the impact of unmodelled 3-D structural heterogeneity on inverted W-phase source parameters. We generate a large data set of synthetic seismograms accounting for the Earths 3-D structure for 250 earthquakes globally distributed. The W-phase algorithm is then used to invert for earthquake CMT parameters, assuming a spherical Earth model. The impact of lateral heterogeneity is assessed by comparing inverted source parameters with those used to compute the 3-D synthetics. Results show that the 3-D structure mainly affects centroid location while the effect on the other source parameters remains small. Centroid mislocations present clear geographical patterns. In particular, W-phase solutions for earthquakes in South America are on average biased 17 km to the east of the actual centroid locations. This effect is significantly reduced using an azimuthally well balanced distribution of seismological stations. Source parameters are generally more impacted by mantle heterogeneity while the scalar moment of shallow earthquakes seems to be mainly impacted by the crustal structure. Shallow earthquakes present a variability of Mrθ and Mrϕ moment tensor elements, resulting both from the small amplitude and a larger uncertainty of the associated Green’s functions.
Dissection length-to-descending thoraco-abdominal aorta length ratio predicts abdominal aortic enlargement after thoracic endovascular aortic repair for type B aortic dissection involving the abdominal aorta
Authors: Wang Xinhao , Ge Yangyang , Ge Xiaohu , Miao Jianhang , Fan Weidong , Liu Jie , Rong Dan , Xue Yan , Liu Feng , Jia Xin , Liu Xiaoping , Guo Wei 
Published: August 2020

Abstract

OBJECTIVES
This study was performed to assess the association between the dissection length-to-descending thoraco-abdominal aorta length ratio (LLR) and abdominal aortic enlargement (AAE) (≥20% increase in total abdominal aortic volume) after thoracic endovascular aortic repair (TEVAR) in patients with type B aortic dissection.

METHODS
We retrospectively analysed data from 184 consecutive patients with type B aortic dissection who underwent TEVAR from January 2011 to December 2016 at 4 hospitals as part of the Registry Of type B aortic dissection with Utility of STent graft study. Preoperative and postoperative computed tomography angiography images were reviewed to assess the LLR and AAE. Patients were stratified into tertiles according to the pre-TEVAR LLR: 0.7 to &lt;1.0 (n = 61), 1.0 to &lt;1.2 (n = 61) and 1.2 to &lt;1.6 (n = 62). The thoracic and abdominal aorta were divided by the celiac trunk. The cumulative incidence of AAE was estimated using the Kaplan–Meier method. A multivariable Cox proportional hazards model was used to assess the independent association between the preoperative LLR and the post-TEVAR risk of AAE. The nonlinear relationship between the LLR and the risk of post-TEVAR AAE was fitted by the restricted cubic smoothing spline, and the inflection point on the fitting curve was determined using a piecewise linear regression model.

RESULTS
Baseline demographics, clinical features, preoperative anatomic characteristics and implanted devices were similarly distributed among the pre-TEVAR LLR tertile groups. At 24 months post-TEVAR, the estimated cumulative incidence of AAE significantly differed (P &lt; 0.01) by LLR tertile group: 0.10 [95% confidence interval (CI) 0.00–0.21], 0.65 (95% CI 0.45–0.78) and 0.67 (95% CI 0.40–0.82), respectively. The pre-TEVAR LLR was an independent predictor of post-TEVAR AAE [hazard ratio (per unit increase) 1.03, 95% CI 1.01–1.04] following a nonlinear relationship with an inflection point at LLR = 1.0.

CONCLUSIONS
The risk of post-TEVAR AAE is highest when the length of the dissection is greater than or equal to the length of the descending aorta (LLR ≥ 1.0).
Opportunistic Invasive Infection by Group A Streptococcus During Anti–Interleukin-6 Immunotherapy
Authors: Wilde Shyra , Olivares Katherine L , Nizet Victor , Hoffman Hal M , Radhakrishna Suhas , LaRock Christopher N 
Published: August 2020

Abstract
Invasive group A Streptococcus (GAS) in immunocompetent individuals is largely linked to hypervirulent strains. Congenital immunodeficiencies and those acquired from chronic disease or immunosuppressant drugs also increase risk of severe illness. We recovered GAS from the blood of a patient receiving a biologic inhibitor of interleukin 6 (IL-6). Growth of this serotype M4 isolate in human blood or a murine bacteremia model was promoted by interleukin 1 or IL-6 inhibition. Hyperinvasive M1T1 GAS was unaffected by IL-6 in both models. These findings based on a natural experiment introduce IL-6 signaling deficiencies as a risk factor for invasive GAS.
Parents, Schools and Human Capital Differences Across Countries
Authors: De Philippis Marta , Rossi Federico 
Published: August 2020

AbstractThis paper studies the contribution of parental influence in accounting for cross-country gaps in human capital achievements. We argue that the cross-country variation in unobserved parental characteristics is at least as important as the one in commonly used observable proxies of parental socioeconomic background. We infer this through an indirect empirical approach, based on the comparison of the school performance of second-generation immigrants. We document that, within the same host country or even the same school, students whose parents come from high-scoring countries in standardized international tests do better than their peers with similar socioeconomic backgrounds. This finding is not driven by differential selection into emigration. We provide several pieces of evidence that support the transmission of cultural values as a leading channel behind the cross-country variation in the parental component. Unobserved parental characteristics account for about 15% of the cross-country variance in test scores, roughly doubling the overall contribution of parental influence.
Asymmetric drift of Andromeda analogues in the IllustrisTNG simulation
Authors: Quirk Amanda C N , Patel Ekta 
Published: August 2020

ABSTRACT
We analyse the kinematics as a function of stellar age for Andromeda (M31) mass analogues from the IllustrisTNG cosmological simulation. We divide the star particles into four age groups: &lt;1, 1–5, 5–10, and &gt;10 Gyr, and compare the kinematics of these groups to that of the neutral gas cells. We calculate rotation curves for the stellar and gaseous components of each analogue from 2 to 20 kpc from the centre of mass. We find that the lag, or asymmetric drift (AD), between the gas rotation curve and the stellar rotation curve on average increases with stellar age. This finding is consistent with observational measurements of AD in the disc of the Andromeda galaxy. When the M31 analogues are separated into groups based on merger history, we find that there is a difference in the AD of the analogues that have had a 4:1 merger the last 4, 8, or 12 Gyr compared to analogues that have not experienced a 4:1 merger in the same time frame. The subset of analogues that have had a 4:1 merger within the last 4 Gyr are also similar to AD measurements of stars in M31’s disc, providing evidence that M31 may in fact have recently merged with a galaxy nearly one-fourth of its mass. Further work using high-resolution zoom-in simulations is required to explore the contribution of internal heating to AD.
The extreme colliding-wind system Apep: resolved imagery of the central binary and dust plume in the infrared
Authors: Han Y , Tuthill P G , Lau R M , Soulain A , Callingham J R , Williams P M , Crowther P A , Pope B J S , Marcote B 
Published: August 2020

ABSTRACT
The recent discovery of a spectacular dust plume in the system 2XMM J160050.7–514245 (referred to as ‘Apep’) suggested a physical origin in a colliding-wind binary by way of the ‘Pinwheel’ mechanism. Observational data pointed to a hierarchical triple-star system, however, several extreme and unexpected physical properties seem to defy the established physics of such objects. Most notably, a stark discrepancy was found in the observed outflow speed of the gas as measured spectroscopically in the line-of-sight direction compared to the proper motion expansion of the dust in the sky plane. This enigmatic behaviour arises at the wind base within the central Wolf–Rayet binary: a system that has so far remained spatially unresolved. Here, we present an updated proper motion study deriving the expansion speed of Apep’s dust plume over a 2-year baseline that is four times slower than the spectroscopic wind speed, confirming and strengthening the previous finding. We also present the results from high angular resolution near-infrared imaging studies of the heart of the system, revealing a close binary with properties matching a Wolf–Rayet colliding-wind system. Based on these new observational constraints, an improved geometric model is presented yielding a close match to the data, constraining the orbital parameters of the Wolf–Rayet binary and lending further support to the anisotropic wind model.
Comparison of stellar populations in simulated and real post-starburst galaxies in MaNGA
Authors: Zheng Yirui , Wild Vivienne , Lahén Natalia , Johansson Peter H , Law David , Weaver John R , Jimenez Noelia 
Published: August 2020

ABSTRACT
Recent integral field spectroscopic (IFS) surveys have revealed radial gradients in the optical spectral indices of post-starburst (PSB) galaxies, which can be used to constrain their formation histories. We study the spectral indices of post-processed mock IFS datacubes of binary merger simulations, carefully matched to the properties of the MaNGA IFS survey, with a variety of black hole (BH) feedback models, progenitor galaxies, orbits, and mass ratios. Based on our simulation sample, we find that only major mergers on prograde–prograde or retrograde–prograde orbits in combination with a mechanical BH feedback model can form galaxies with weak enough ongoing star formation, and therefore absent H α emission, to be selected by traditional PSB selection methods. We find strong fluctuations in nebular emission line strengths, even within the PSB phase, suggesting that H α selected PSBs are only a subsample of the underlying population. The global PSB population can be more robustly identified using stellar continuum-based approaches. The difficulty in reproducing the very young PSBs in simulations potentially indicates that new sub-resolution star formation recipes are required to properly model the process of star formation quenching. In our simulations, we find that the starburst peaks at the same time at all radii, but is stronger and more prolonged in the inner regions. This results in a strong time evolution in the radial gradients of the spectral indices that can be used to estimate the age of the starburst without reliance on detailed star formation histories from spectral synthesis models.
Boosting Monte Carlo sampling with a non-Gaussian fit
Authors: Amendola Luca , Gómez-Valent Adrià 
Published: August 2020

ABSTRACT
We propose a new method, called Monte Carlo Posterior Fit, to boost the Monte Carlo sampling of likelihood (posterior) functions. The idea is to approximate the posterior function by an analytical multidimensional non-Gaussian fit. The many free parameters of this fit can be obtained by a smaller sampling than is needed to derive the full numerical posterior. In the examples that we consider, based on supernovae and cosmic microwave background data, we find that one needs an order of magnitude smaller sampling than in the standard algorithms to achieve comparable precision. This method can be applied to a variety of situations and is expected to significantly improve the performance of the Monte Carlo routines in all the cases in which sampling is very time consuming. Finally, it can also be applied to Fisher matrix forecasts and can help solve various limitations of the standard approach.
Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan
Authors: Fernandez-de-Cossio-Diaz Jorge , Uguzzoni Guido , Pagnani Andrea 
Published: August 2020

Abstract
The recent technological advances underlying the screening of large combinatorial libraries in high-throughput mutational scans deepen our understanding of adaptive protein evolution and boost its applications in protein design. Nevertheless, the large number of possible genotypes requires suitable computational methods for data analysis, the prediction of mutational effects, and the generation of optimized sequences. We describe a computational method that, trained on sequencing samples from multiple rounds of a screening experiment, provides a model of the genotype–fitness relationship. We tested the method on five large-scale mutational scans, yielding accurate predictions of the mutational effects on fitness. The inferred fitness landscape is robust to experimental and sampling noise and exhibits high generalization power in terms of broader sequence space exploration and higher fitness variant predictions. We investigate the role of epistasis and show that the inferred model provides structural information about the 3D contacts in the molecular fold.
Sturnira parvidens (Chiroptera: Phyllostomidae)
Authors: Hernández-Canchola Giovani , León-Paniagua Livia 
Published: August 2020

AbstractThe little yellow-shouldered Mesoamerican bat, Sturnira parvidens Goldman, 1917, is a medium-sized yellow-shouldered bat with no tail, a vestigial uropatagium, and reddish or yellowish patches on the shoulders. It lives in tropical habitats associated with lower and mid-elevations from northern Costa Rica to Mexico, and it is one of 24 described species in the genus Sturnira. Although S. parvidens is more common in disturbed areas because it mainly feeds on pioneer plants, it uses day roosts located in mature forest or in areas with advanced successional stages. It is an abundant species and is listed as “Least Concern” by the International Union for Conservation of Nature and Natural Resources.
Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: development and validation
Authors: Joo Leehi , Park Ji Eun , Park Seo Young , Nam Soo Jung , Kim Young-Hoon , Kim Jeong Hoon , Kim Ho Sung 
Published: August 2020

AbstractBackgroundBrain invasion by meningioma is a stand-alone criterion for tumor atypia in the 2016 World Health Organization classification, but no imaging parameter has yet been shown to be sufficient for predicting it. The aim of this study was to develop and validate an MRI-based radiomics model from the brain-to-tumor interface to predict brain invasion by meningioma.MethodsPreoperative T2-weighted and contrast-enhanced T1-weighted imaging data were obtained from 454 patients (88 patients with brain invasion) between 2012 and 2017. Feature selection was performed from 3222 radiomics features obtained in the 1 cm thickness tumor-to-brain interface region using least absolute shrinkage and selection operator. Peritumoral edema volume, age, sex, and selected radiomics features were used to construct a random forest classifier–based diagnostic model. The performance was evaluated using the areas under the curves (AUCs) of the receiver operating characteristic in an independent cohort of 150 patients (29 patients with brain invasion) between 2018 and 2019.ResultsVolume of peritumoral edema was an independent predictor of brain invasion (P &lt; 0.001). The top 6 interface radiomics features plus the volume of peritumoral edema were selected for model construction. The combined model showed the highest performance for prediction of brain invasion in the training (AUC 0.97; 95% CI: 0.95–0.98) and validation sets (AUC 0.91; 95% CI: 0.84–0.98), and improved diagnostic performance over volume of peritumoral edema only (AUC 0.76; 95% CI: 0.66–0.86).ConclusionAn imaging-based model combining interface radiomics and peritumoral edema can help to predict brain invasion by meningioma and improve the diagnostic performance of known clinical and imaging parameters.
Responsive Neurostimulation of the Mesial Temporal White Matter in Bilateral Temporal Lobe Epilepsy
Authors: Nunna Ravi S , Borghei Alireza , Brahimaj Bledi C , Lynn Fiona , Garibay-Pulido Diego , Byrne Richard W , Rossi Marvin A , Sani Sepehr 
Published: August 2020

Abstract

BACKGROUND
Responsive neuromodulation (RNS) is a treatment option for patients with medically refractory bilateral mesial temporal lobe epilepsy (MTLE). A paucity of data exists on the feasibility and clinical outcome of hippocampal-sparing bilateral RNS depth lead placements within the parahippocampal white matter or temporal stem.

OBJECTIVE
To evaluate seizure reduction outcomes with at least a 1-yr follow-up in individuals with bilateral MTLE undergoing hippocampus-sparing implantation of RNS depth leads.

METHODS
A retrospective analysis of prospectively collected data was performed on patients at our institution with bilateral MTLE who were implanted with RNS depth leads along the longitudinal extent of bitemporal parahippocampal white matter or temporal stem. Baseline and postoperative seizure frequency, previous surgical interventions, and postimplantation electrocorticography and stimulation data were analyzed.

RESULTS
Ten patients were included in the study (7 male, 3 female). Overall seizure frequency declined by a median 44.25% at 3.13 yr (standard deviation 3.31) postimplantation. Four patients (40%) achieved 50% responder rate at latest follow-up. Two of four patients with focal onset bilateral tonic-clonic seizures became completely seizure-free. Forty percent of patients were previously implanted with a vagus nerve stimulator, and 20% underwent a prior temporal lobectomy. All depth lead placements were confirmed as radiographically located in the parahippocampal white matter or temporal stem without hippocampus violation. There were no cases of lead malposition.

CONCLUSION
Extrahippocampal or temporal stem white matter targeting during RNS surgery for bitemporal MTLE is feasible and allows for electrographic seizure detection. Larger controlled studies with longer follow-up are needed to validate these preliminary findings.
The Correlation Between Clinical Features and Viral RNA Shedding in Outpatients With COVID-19
Authors: Liao Tingting , Yin Zhengrong , Xu Juanjuan , Lv Zhilei , Wang Sufei , Duan Limin , Fan Jinshuo , Jin Yang 
Published: August 2020

Abstract

Background
Patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can shed virus, thereby causing human-to-human transmission, and the viral RNA shedding is commonly used as a proxy measure for infectivity.

Methods
We retrospectively reviewed confirmed cases of COVID-19 who attended the fever clinic of Wuhan Union Hospital from January 14 to February 24. In terms of the viral RNA shedding (median values) at first visit, patients were divided into a high–viral RNA shedding group and a low–viral RNA shedding group. Univariate and multivariate logistic regression analysis were performed to investigate the correlation between viral RNA shedding and clinical features.

Results
A total of 918 consecutive COVID-19 patients were enrolled, and severe patients made up 26.1%. After univariate and multivariate logistic regression, advanced age (odds ratio [OR], 1.02; 95% CI, 1.01–1.03; P = .001), having severe chronic diseases (OR, 1.44; 95% CI, 1.03–2.01; P = .04), and severe illness (OR, 1.60; 95% CI, 1.12–2.28; P = .01) were independent risk factors for high viral RNA shedding. Shorter time interval from symptom onset to viral detection was a protective factor for viral RNA shedding (OR, 0.97; 95% CI, 0.94–0.99; P = .01). Compared with mild patients, severe patients have higher virus shedding over a long period of time after symptom onset (P = .01).

Conclusions
Outpatients who were old, had severe illness, and had severe underlying diseases had high viral RNA shedding.
PROPOSED NATIONAL DIAGNOSTIC REFERENCE LEVELS FOR STANDARD RADIOGRAPHIC X-RAY PROCEDURES IN SUDAN
Authors: Ahmed Nada A , Basheir E H , Farah A B , Mohammedzein T S , Suliman I I 
Published: August 2020

Abstract
This study aimed to calculate patient radiation doses for adults during the seven most commonly performed conventional X-ray procedures, and to propose national diagnostic reference levels (DRLs). A representative sample of patients from 29 hospitals was included. The entrance surface air kerma (ESAK) was calculated by measuring X-ray tube output and the corresponding technical and exposure factors for each patient. Third-quartile values of the mean ESAK distributions were proposed as DRL values. The DRLs in mGy were as follows: 0.6 for chest postero–anterior (PA), 3.5 for skull AP, 1.7 for skull lateral (LAT), 2.7 for abdominal, 2.6 for pelvic AP, 3.7 for lumbar spine AP and 8 for lumbar spine LAT. Compared with literature, the maximum percentages increase were in chest PA (329%) and skull AP (187%). Since the suggested DRL for chest PA was higher than literature values, dose optimization and a review of its value is recommended.