bluuebunny/crossref_metadata_2025_split huggingface dataset:
Precessing magnetars as central engines in short gamma-ray bursts
Authors: Suvorov A G , Kokkotas K D 
Published: January 2021

ABSTRACT
Short gamma-ray bursts that are followed by long-duration X-ray plateaus may be powered by the birth, and hydrodynamic evolution, of magnetars from compact binary coalescence events. If the rotation and magnetic axes of the system are not orthogonal to each other, the star will undergo free precession, leading to fluctuations in the luminosity of the source. In some cases, precession-induced modulations in the spin-down power may be discernible in the X-ray flux of the plateau. In this work, 25 X-ray light curves associated with bursts exhibiting a plateau are fitted to luminosity profiles appropriate for precessing, oblique rotators. Based on the Akaike Information Criterion, 16 $(64{{\ \rm per\ cent}})$ of the magnetars within the sample display either moderate or strong evidence for precession. Additionally, since the precession period of the star is directly tied to its quadrupolar ellipticity, the fits allow for an independent measure of the extent to which the star is deformed by internal stresses. Assuming these deformations arise due to a mixed poloidal–toroidal magnetic field, we find that the distribution of magnetic-energy ratios is bimodal, with data points clustering around energetically equal and toroidally dominated partitions. Implications of this result for gravitational-wave emission and dynamo activity in newborn magnetars are discussed.
Monte Carlo simulations of multiple populations in globular clusters: constraints on the cooling flow versus accretion scenario using million bodies simulations
Authors: Sollima A 
Published: January 2021

ABSTRACT
I simulate the evolution of a stellar system hosting two stellar populations whose initial set-up is defined according to the two main scenarios proposed for the origin of multiple populations in Galactic globular clusters: (i) formation of a second generation from a cooling flow of pristine+polluted gas and (ii) accretion of polluted gas on to the proto-stellar discs of a fraction of low-mass stars. For this purpose, Monte Carlo simulations containing from 105 up to 3 × 106 particles have been run including the effect of stellar evolution, binary interactions, external tidal field, and a detailed modelling of the proto-stellar disc structure. The early accretion of gas on to proto-stellar discs is unable to produce discrete populations and to alter the chemical composition of a significant ($\gt 10{{\ \rm per\ cent}}$) fraction of stars unless a disc lifetime larger (tdisc ∼ 20 Myr) than that predicted by models is assumed. Moreover, in this scenario the mixing time-scale of the two populations is too short to reproduce the observed segregation of the chemically enriched population. On the other hand, simulations run within the cooling flow scenario can evolve after a Hubble time into stellar systems with a first-to-second population mass ratio similar to that observed in globular clusters, provided that an initial filling-factor rh/rJ &gt; 0.15 is adopted. However, in the weak tidal field regime a radial segregation of the second population stronger than what observed in Milky Way globular clusters at large Galactocentric distances is predicted. This discrepancy disappears in simulations following eccentric orbits in a realistic axisymmetric potential.
PSR B0656+14: the unified outlook from the infrared to X-rays
Authors: Zharikov S , Zyuzin D , Shibanov Yu , Kirichenko A , Mennickent R E , Geier S , Cabrera-Lavers A 
Published: January 2021

ABSTRACT
We report detection of PSR B0656+14 with the Gran Telescopio Canarias in narrow optical F657, F754, F802, and F902 and near-infrared JHKs bands. The pulsar detection in the Ks band extends its spectrum to 2.2 $\mu$m and confirms its flux increase towards the infrared. We also present a thorough analysis of the optical spectrum obtained by us with the VLT. For a consistency check, we revised the pulsar near-infrared and narrow-band photometry obtained with the HST. We find no narrow spectral lines in the optical spectrum. We compile available near-infrared-optical-UV and archival 0.3–20 keV X-ray data and perform a self-consistent analysis of the rotation phase-integrated spectrum of the pulsar using unified spectral models. The spectrum is best fitted by the four-component model including two blackbodies, describing the thermal emission from the neutron star surface and its hot polar cap, the broken power law, originating from the pulsar magnetosphere, and an absorption line near ∼0.5 keV detected previously. The fit provides better constraints on the model parameters than using only a single spectral domain. The derived surface temperature is $T_{NS}^{\infty } = 7.9(3)\times 10^5$ K. The intrinsic radius (7.8–9.9 km) of the emitting region is smaller than a typical neutron star radius (13 km) and suggests a non-uniform temperature distribution over the star surface. In contrast, the derived radius of the hot polar cap is about twice as large as the ‘canonical’ one. The spectrum of the non-thermal emission steepens from the optical to X-rays and has a break near 0.1 keV. The X-ray data suggest the presence of another absorption line near 0.3 keV.
Constraints on stellar rotation from the evolution of Sr and Ba in the Galactic halo
Authors: Rizzuti F , Cescutti G , Matteucci F , Chieffi A , Hirschi R , Limongi M , Saro A 
Published: January 2021

ABSTRACT
Recent studies show that the chemical evolution of Sr and Ba in the Galaxy can be explained if different production sites, hosting r- and s-processes, are taken into account. However, the question of unambiguously identifying these sites is still unsolved. Massive stars are shown to play an important role in the production of s-material if rotation is considered. In this work, we study in detail the contribution of rotating massive stars to the production of Sr and Ba, in order to explain their chemical evolution, but also to constrain the rotational behaviour of massive stars. A stochastic chemical evolution model was employed to reproduce the enrichment of the Galactic halo. We developed new methods for model-data comparison which help to objectively compare the stochastic results to the observations. We employed these methods to estimate the value of free parameters which describe the rotation of massive stars, assumed to be dependent on the stellar metallicity. We constrain the parameters using the observations for Sr and Ba. Employing these parameters for rotating massive stars in our stochastic model, we are able to correctly reproduce the chemical evolution of Sr and Ba, but also Y, Zr, and La. The data supports a decrease of both the mean rotational velocities and their dispersion with increasing metallicity. Our results show that a metallicity-dependent rotation is a necessary assumption to explain the s-process in massive stars. Our novel methods of model-data comparison represent a promising tool for future galactic chemical evolution studies.
De Novo Mutation and Rapid Protein (Co-)evolution during Meiotic Adaptation in Arabidopsis arenosa
Authors: Bohutínská Magdalena , Handrick Vinzenz , Yant Levi , Schmickl Roswitha , Kolář Filip , Bomblies Kirsten , Paajanen Pirita 
Published: January 2021

Abstract
A sudden shift in environment or cellular context necessitates rapid adaptation. A dramatic example is genome duplication, which leads to polyploidy. In such situations, the waiting time for new mutations might be prohibitive; theoretical and empirical studies suggest that rapid adaptation will largely rely on standing variation already present in source populations. Here, we investigate the evolution of meiosis proteins in Arabidopsis arenosa, some of which were previously implicated in adaptation to polyploidy, and in a diploid, habitat. A striking and unexplained feature of prior results was the large number of amino acid changes in multiple interacting proteins, especially in the relatively young tetraploid. Here, we investigate whether selection on meiosis genes is found in other lineages, how the polyploid may have accumulated so many differences, and whether derived variants were selected from standing variation. We use a range-wide sample of 145 resequenced genomes of diploid and tetraploid A. arenosa, with new genome assemblies. We confirmed signals of positive selection in the polyploid and diploid lineages they were previously reported in and find additional meiosis genes with evidence of selection. We show that the polyploid lineage stands out both qualitatively and quantitatively. Compared with diploids, meiosis proteins in the polyploid have more amino acid changes and a higher proportion affecting more strongly conserved sites. We find evidence that in tetraploids, positive selection may have commonly acted on de novo mutations. Several tests provide hints that coevolution, and in some cases, multinucleotide mutations, might contribute to rapid accumulation of changes in meiotic proteins.
Interconnected Blameworthiness
Authors: Collins Stephanie , de Haan Niels 
Published: January 2021

AbstractThis paper investigates agents’ blameworthiness when they are part of a group that does harm. We analyse three factors that affect the scope of an agent’s blameworthiness in these cases: shared intentionality, interpersonal influence, and common knowledge. Each factor involves circumstantial (and some resultant) luck. The more each factor is present, the greater is the scope of each agent’s vicarious blameworthiness for the other agents’ contributions to the harm. We then consider an agent’s degree of blameworthiness, as distinct from her scope of blameworthiness. We suggest that an agent mostly controls her degree of blameworthiness—but even here, luck constrains what possible degrees of blameworthiness are open to her.
Wandering of the central black hole in a galactic nucleus and correlation of the black hole mass with the bulge mass
Authors: Inoue Hajime 
Published: January 2021

Abstract
We investigate a mechanism for a super-massive black hole at the center of a galaxy to wander in the nucleus region. A situation is supposed in which the central black hole tends to move by the gravitational attractions from the nearby molecular clouds in a nuclear bulge but is braked via the dynamical frictions from the ambient stars there. We estimate the approximate kinetic energy of the black hole in an equilibrium between the energy gain rate through the gravitational attractions and the energy loss rate through the dynamical frictions in a nuclear bulge composed of a nuclear stellar disk and a nuclear stellar cluster as observed from our Galaxy. The wandering distance of the black hole in the gravitational potential of the nuclear bulge is evaluated to get as large as several 10 pc, when the black hole mass is relatively small. The distance, however, shrinks as the black hole mass increases, and the equilibrium solution between the energy gain and loss disappears when the black hole mass exceeds an upper limit. As a result, we can expect the following scenario for the evolution of the black hole mass: When the black hole mass is smaller than the upper limit, mass accretion of the interstellar matter in the circumnuclear region, causing the AGN activities, makes the black hole mass larger. However, when the mass gets to the upper limit, the black hole loses the balancing force against the dynamical friction and starts spiraling downward to the gravity center. From simple parameter scaling, the upper mass limit of the black hole is found to be proportional to the bulge mass, and this could explain the observed correlation of the black hole mass with the bulge mass.
Changes in Quantity of Opioids Dispensed following Florida’s Restriction Law for Acute Pain Prescriptions
Authors: Hincapie-Castillo Juan M , Easey Taylor , Hernandez Carlos , Maguire Michael , Usmani Silken A , Vouri Scott Martin , Goodin Amie 
Published: January 2021

AbstractObjectiveTo assess the impact of Florida’s 3-day opioid prescription supply law, effective July 2018, on opioids dispensed for acute pain patients.MethodsPharmacy claims from a health plan serving a large Florida employer from January 2015 through March 2019 were analyzed. We used an interrupted time series study design accounting for autocorrelation of trends before and after policy change. Acute pain patients met inclusion criteria if they had not received any opioid containing medications in the past 180 days. Patients could contribute to additional new use time if subsequent opioid claims occurred ≥180 days since the previous claim. Outcomes included mean number of units dispensed of the initial opioid prescription, mean morphine milligram equivalents (MMEs) per day of initial prescription by month, and mean total MMEs per initial prescription by month.ResultsA total of 8,375 enrollees had 10,583 unique opioid starts in the given timeframe. Following the policy, there was an immediate significant decrease in the units dispensed per prescription of 4.9 (95% confidence interval [CI] −8.95, −.82 units). Additionally, there was a significant immediate reduction in total MMEs dispensed per prescription of 25.6 (95% CI −44.76, −6.44 MMEs).ConclusionsAmong a group of privately-insured plan enrollees in Florida, and as a result of the law, there were significant decreases in the number of units dispensed, and total MMEs of opioid prescriptions. The immediate reduction in new opioid utilization following policy implementation suggests effective policy; however, impacts on chronic pain patients were not assessed.
The Spanish Version of the Fear of Kidney Failure Questionnaire: Validity, Reliability, and Characterization of Living Donors With the Highest Fear of Kidney Failure
Authors: Torres Xavier , Menjivar Ana , Baillès Eva , Rangil Teresa , Delgado Isabel , Musquera Mireia , Paredes David , Martínez Montserrat , Avinyó Núria , Vallés Carmen , Cañas Laura , Lorenzo Dolores , Vila-Santandreu Anna , Ojeda Raquel , Arcos Emma , De Sousa-Amorim Erika , Fernández Antón , Rodrigue James R. 
Published: January 2021

Background.
Measures of fear of progression or recurrence of illnesses have been criticized for neglecting cross-cultural validity. Therefore, we assessed the psychometric properties of the Spanish version of the Fear of Kidney Failure Questionnaire (FKFQ), to determine whether postdonation fear of kidney failure (FKF) influenced the donors’ psychosocial status, and define variables that characterized donors with high FKFQ scores.

Methods.
We included 492 participants (211 donors) in a multicenter, 11-year, retrospective, cross-sectional study. Donors were classified with a Latent Class Analysis of the FKFQ-item scores and characterized with a multivariable logistic regression analysis. We calculated the risk ratio based on predicted marginal probabilities.

Results.
The Spanish version of the FKFQ showed acceptable psychometric properties. FKF was uncommon among donors, but we detected a small subgroup (n = 21, 9.9%) with high FKF (mean FKFQ score = 14.5, 3.1 SD). Compared with other donors, these donors reported higher anxiety and depression (38% and 29% of potential anxiety and depressive disorders), worse quality of life, and less satisfaction with the donation. Donors with high FKFQ scores were characterized by higher neuroticism combined with postdonation physical symptoms that interfered with daily activities.

Conclusions.
The FKFQ was cross-culturally valid, and thus, it may be used to assess the FKF in Spanish-speaking donors. New interventions that promote positive affectivity and evidence-based treatments for worry could be adapted for treating FKF.
Liver Transplantation in Locally Unresectable, Undifferentiated Embryonal Cell Sarcoma
Authors: Babu Benoy I. , Bigam David L. , Gilmour Susan M. , Dajani Khaled Z. , Shapiro A.M. James , Kneteman Norman M. 
Published: January 2021

Background.
Undifferentiated embryonal cell sarcoma (UESL) of the liver is the third most common malignant liver disease of childhood presenting as a rapidly enlarging intraabdominal mass. This systematic review explores the practicality of liver transplantation as a viable option in the treatment armamentarium for locally advanced undifferentiated embryonal cell sarcoma.

Methods.
A systematic review of the literature was performed using Medline and Embase, from inception of databases to December 31, 2018. Keywords and MeSH headings used were embryonal sarcoma, mesenchymal sarcoma, and liver transplant. Reviews and manuscripts with incomplete data were excluded.

Results.
Twenty-eight patients had orthotopic liver transplantation (OLT) as a curative treatment option. The median age at presentation was 8 and 27 years in the pediatric and adult population, respectively, with a similar male to female ratio. A majority of the patients presented with abdominal pain, palpable mass, and a normal alpha-feto-protein. The median tumor size was 15 cm mainly affecting the right lobe (62%) of the liver. Eighty-two percent of the patients underwent primary OLT and 5 patients had salvage OLT. One death (3.6%) was due to initial misdiagnosis and management for hepatoblastoma. Recurrence was noted in 7.1% of the population. The median follow-up was noted to be 28.5 months. The documented survival rate post-liver transplant for UESL was 96%.

Conclusions.
Based on available data and the very positive results therein, liver transplantation is a practical and justifiable use of a scarce resource as a treatment option for locally unresectable, undifferentiated embryonal cell sarcoma. The authors propose (accepting existence of different proposals) neoadjuvant therapy before curative resection, and if not achievable, then liver transplantation followed by adjuvant chemotherapy is an option for suitable candidates. For recurrent tumors after surgical resection, adjuvant therapy with salvage liver transplantation is an option.
Utility of Serial Donor-derived Cell-free DNA Measurements for Detecting Allograft Rejection in a Kidney Transplant Recipient After PD-1 Checkpoint Inhibitor Administration
Authors: Lakhani Laila , Alasfar Sami , Bhalla Anshul , Aala Amtul , Rosenberg Avi , Ostrander Darin , Schollenberger Megan D. , Brennan Daniel C. , Lipson Evan J. 
Published: January 2021

Background.
Donor-derived cell-free DNA (dd-cfDNA) is a useful biomarker of rejection that originates from allograft cells undergoing injury. Plasma levels <1% in kidney transplant recipients have a high negative predictive value for active allograft rejection. The utility of this biomarker in kidney transplant recipients receiving immune checkpoint inhibitor therapy is unknown.

Methods.
We describe a case in which serial dd-cfDNA monitoring facilitated the use of immune checkpoint inhibitor therapy, which is known to be associated with high rates of rejection, in a kidney transplant recipient with metastatic cancer.

Results.
A 72-y-old man with end-stage kidney disease secondary to autosomal dominant polycystic kidney disease underwent living unrelated kidney transplant in December 2010. His immunosuppression regimen included tacrolimus, mycophenolate, and prednisone. In July 2017, he presented with metastatic cutaneous squamous cell carcinoma. After his disease progressed through radiation therapy and cetuximab, he received pembrolizumab (antiprogrammed cell death protein 1). His dd-cfDNA level was undetectable at baseline, then increased during treatment but remained <1%. This trend, despite fluctuations in serum creatinine levels during therapy, allowed for continuation of pembrolizumab and successful treatment of his metastatic cancer without clinically evident allograft rejection. After discontinuation of pembrolizumab, dd-cfDNA levels fell below the level of detection. Genetic analysis of the cutaneous squamous cell carcinoma demonstrated a genetic profile distinct from the dd-cfDNA, indicating that tumor lysis did not impact increases in dd-cfDNA.

Conclusions.
Serial dd-cfDNA measurements may provide a useful, noninvasive biomarker for detecting allograft injury that may facilitate the use of immunomodulatory therapies in organ transplant recipients with cancer.
Sporulation is dispensable for the vegetable-associated life cycle of the human pathogenBacillus cereus
Authors: Antequera-Gómez María Luisa , Díaz-Martínez Luis , Guadix Juan Antonio , Sánchez-Tévar Ana María , Sopeña-Torres Sara , Hierrezuelo Jesús , Doan Hung K. , Leveau Johan H.J. , de Vicente Antonio , Romero Diego 
Published: January 2021

AbstractBacillus cereusis a common food-borne pathogen that is responsible for important outbreaks of food poisoning in humans. Diseases caused byB. cereususually exhibit two major symptoms, emetic or diarrheic, depending on the toxins produced. It is assumed that after the ingestion of contaminated vegetables or processed food, spores of enterotoxigenicB. cereusreach the intestine, where they germinate and produce the enterotoxins that are responsible for food poisoning. In our study, we observed that sporulation is required for the survival ofB. cereusin leaves but is dispensable in ready-to-eat vegetables, such as endives. We demonstrate that vegetative cells ofB. cereusthat are originally impaired in sporulation but not biofilm formation are able to reach the intestine and cause severe disorders in a murine model. We propose that loss of part of the sporulation programme and reinforcement of structural factors related to adhesion, biofilm formation and pathogenic interaction with the host are adaptive traits ofB. cereuswith a life cycle primarily related to human hosts. Furthermore, our findings emphasise that the number of food poisoning cases associated withB. cereusis underestimated and suggest the need to revise the detection protocols, which are based primarily on spores and toxins.
Multi Task Deep Learning for Genomic Predictions
Authors: Guo Baohong 
Published: January 2021

ABSTRACTGenomic predictions have been recognized as a new promising technique in animal and plant breeding. Linear mixed model is a widely used statistical technique, but it may not be desirable for large training sets and number of molecular markers, because it is intensive in computation. Deep learning is a subfield of machine learning and it can be used for complex predictions on a large scale. Multi task deep learning (MT-DL) incorporates related tasks(labels or traits) into one learning process to enable the learning model to perform better than single task deep learning (ST-DL). I applied MT-DL to genotype by environment genomic predictions to predict the performances of breeding lines at multiple environments. I compared MT-DL with linear mixed model-based Bayesian genotype × environment method (BGGE) and separate genomic predictions on single environments with widely used rrBLUP, ridge regression and ST-DL using cross validations. Compared with rrBLUP, MT-DL and non-linear BGGE showed a moderate increase of 9.4 and 7.6%, respectively, ST-DL has a small increase of 5.4%, ridge regression had a similar prediction accuracy and linear BGGE had a small decrease of −2.0% for prediction accuracy. I also found that all methods including rrBLUP had an overfitting, this is likely because yield genomic predictions are complex and the data set used in this study are small. rrBLUP, ridge regression, ST-DL and MT-DL has similar overfitting. Difference between training and test set prediction accuracies was between 0.344 and 0. 387. Linear and nonlinear BGGE methods seem to have much worse overfitting than other methods. Difference between training and test set prediction accuracies were 0.429 and 0.472, respectively. I also discussed the potential applications of ST-DL and MT-DL in genomic predictions of hybrid crops such as maize