bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cepheid Abundances: Multiphase Results and Spatial Gradients
Authors: Luck R. Earle 
Published: October 2018

Abstract
Parameters and abundances have been derived for 435 Cepheids based on an analysis of 1127 spectra. Results from five or more phases are available for 52 of the program stars. The latter set of stars span periods between 1.5 and 68 days. The parameters and abundances show excellent consistency across phase. For iron, the average range in the determined abundance is 0.11 from these 52 stars. For 163 stars with more than one phase available the average range is 0.07. The variation in effective temperature tracks well with phase, as does the total broadening velocity. The gravity and microturbulent velocity follow phase, but with less variation and regularity. Abundance gradients have been derived using Gaia DR2 parallax data, as well as Bayesian distance estimates based upon Gaia DR2 from Bailer-Jones et al. The abundance gradient derived for iron is d[Fe/H]/dR = −0.05 dex kpc−1, similar to gradients derived in previous studies.
Radial Velocity Comparison of Gaia DR2 and RAVE DR5 Survey: A Systematic Offset in Radial Velocities among a Group of Highly Accurate Radial Velocity Stars
Authors: Deepak  , Reddy Bacham E. 
Published: October 2018

Abstract
Here, we report a comparative study of radial velocity (RV) data of two major surveys: Gaia Data Release 2 and RAVE Data Release 5. We restricted the sample to stars with relatively accurate RVs (

km s−1 or ≤2%, and

km s−1 or ≤2%). The difference between RV
Gaia
and RVRAVE for a majority of the sample follows a normal distribution with mean = 0.28 km s−1 and σ = 1.49 km s−1. However, we found a very small group of stars (≈0.08% of the total) for which the difference in RVs between the two surveys is significantly larger with an offset of −104.50 km s−1 with σ = 4.92 km s−1. Kinematics based on RV
Gaia
suggest that most of the group members belong to the Galactic thin disk, which agrees with the group’s metallicity range of −1.2 to +0.5 dex suggesting the offset in RV is probably due to RAVE velocity data for this particular group.
Aerosols and Water Ice in Jupiter’s Stratosphere from UV-NIR Ground-based Observations
Authors: López-Puertas Manuel , Montañés-Rodríguez Pilar , Pallé E. , Höpfner M. , Sánchez-López A. , García-Comas M. , Funke B. 
Published: October 2018

Abstract
Jupiter’s atmosphere has been sounded in transmission from the UV to the IR, as if it were a transiting exoplanet, by observing Ganymede while passing through Jupiter’s shadow. The spectra show strong extinction due to the presence of aerosols and haze in Jupiter’s atmosphere and strong absorption features of methane. Here, we report a new detailed analysis of these observations, with special emphasis on the retrievals of the vertical distribution of the aerosols and their sizes, and the properties and distribution of the stratospheric water ice. Our analysis suggests the presence of aerosols near the equator in the altitude range of 100 hPa up to at least 0.01 hPa, with a layer of small particles (mean radius of 0.1 μm) in the upper part (above 0.1 hPa), an intermediate layer of aerosols with a radius of 0.3 μm, extending between ∼10 and 0.01 hPa, and a layer with larger sizes of ∼0.6 μm at approximately 100–1 hPa. The corresponding loads for each layer are ∼2 × 10−7 g cm−2, ∼3.4 × 10−7 g cm−2, and ∼1.5 × 10−6 g cm−2, respectively, with a total load of ∼2.0 × 10−6 g cm−2. The lower and middle layers agree well with previous measurements; but the finer particles of 0.1 μm above 0.01 hPa have not been reported before. The spectra also show two broad features near 1.5 and 2.0 μm, which we attribute to a layer of very small (∼10 nm) H2O crystalline ice in Jupiter’s lower stratosphere (∼0.5 hPa). While these spectral signatures seem to be unequivocally attributable to crystalline water ice, they require a large amount of water ice to explain the strong absorption features.
The R-Process Alliance: A Comprehensive Abundance Analysis of HD 222925, a Metal-poor Star with an Extreme R-process Enhancement of [Eu/H] = −0.14*
Authors: Roederer Ian U. , Sakari Charli M. , Placco Vinicius M. , Beers Timothy C. , Ezzeddine Rana , Frebel Anna , Hansen Terese T. 
Published: October 2018

Abstract
We present a detailed abundance analysis of the bright (V = 9.02), metal-poor ([Fe/H] = −1.47 ± 0.08) field red horizontal-branch star HD 222925, which was observed as part of an ongoing survey by the R-Process Alliance. We calculate stellar parameters and derive abundances for 46 elements based on 901 lines examined in a high-resolution optical spectrum obtained using the Magellan Inamori Kyocera Echelle spectrograph. We detect 28 elements with 38 ≤ Z ≤ 90; their abundance pattern is a close match to the solar r-process component. The distinguishing characteristic of HD 222925 is an extreme enhancement of r-process elements ([Eu/Fe] = +1.33 ± 0.08, [Ba/Eu] = −0.78 ± 0.10) in a moderately metal-poor star, so the abundance of r-process elements is the highest ([Eu/H] = −0.14 ± 0.09) in any known r-process-enhanced star. The abundance ratios among lighter (Z ≤ 30) elements are typical for metal-poor stars, indicating that production of these elements was dominated by normal Type II supernovae, with no discernible contributions from Type Ia supernovae or asymptotic giant branch stars. The chemical and kinematic properties of HD 222925 suggest it formed in a low-mass dwarf galaxy, which was enriched by a high-yield r-process event before being disrupted by interaction with the Milky Way.
The VLA Nascent Disk and Multiplicity Survey of Perseus Protostars (VANDAM). IV. Free–Free Emission from Protostars: Links to Infrared Properties, Outflow Tracers, and Protostellar Disk Masses
Authors: Tychoniec Łukasz , Tobin John J. , Karska Agata , Chandler Claire , Dunham Michael M. , Harris Robert J. , Kratter Kaitlin M. , Li Zhi-Yun , Looney Leslie W. , Melis Carl , Pérez Laura M. , Sadavoy Sarah I. , Segura-Cox Dominique , van Dishoeck Ewine F. 
Published: October 2018

Abstract
Emission from protostars at centimeter radio wavelengths has been shown to trace the free–free emission arising from ionizing shocks as a result of jets and outflows driven by protostars. Therefore, measuring properties of protostars at radio frequencies can provide valuable insights into the nature of their outflows and jets. We present a C-band (4.1 and 6.4 cm) survey of all known protostars (Class 0 and Class I) in Perseus as part of the VLA Nascent Disk and Multiplicity (VANDAM) Survey. We examine the known correlations between radio flux density and protostellar parameters, such as bolometric luminosity and outflow force, for our sample. We also investigate the relationship between radio flux density and far-infrared line luminosities from Herschel. We show that free–free emission most likely originates from J-type shocks; however, the large scatter indicates that those two types of emission probe different time and spatial scales. Using C-band fluxes, we removed an estimation of free–free contamination from the corresponding Ka-band (9 mm) flux densities that primarily probe dust emission from embedded disks. We find that the compact (<1″) dust emission is lower for Class I sources (median dust mass 96 M
⊕) relative to Class 0 (248 M
⊕), but several times higher than in Class II (5–15 M
⊕). If this compact dust emission is tracing primarily the embedded disk, as is likely for many sources, this result provides evidence of decreasing disk masses with protostellar evolution, with sufficient mass for forming giant planet cores primarily at early times.
Hydroxychloroquine Levels throughout Pregnancies Complicated by Rheumatic Disease: Implications for Maternal and Neonatal Outcomes
Authors: Balevic Stephen J. , Cohen-Wolkowiez Michael , Eudy Amanda M. , Green Thomas P. , Schanberg Laura E. , Clowse Megan E.B. 
Published: October 2018

Objective.Pregnancies in women with active rheumatic disease often result in poor neonatal outcomes. Hydroxychloroquine (HCQ) reduces disease activity and flares; however, pregnancy causes significant physiologic changes that may alter HCQ levels and lead to therapeutic failure. Therefore, our objective was to evaluate HCQ concentrations during pregnancy and relate levels to outcomes.Methods.We performed an observational study of pregnant patients with rheumatic disease who were taking HCQ from a single center during 2013–2016. Serum samples were analyzed using high-performance liquid chromatography/mass spectrometry. Primary HCQ exposure was categorized as nontherapeutic (≤ 100 ng/ml) or therapeutic (> 100 ng/ml). Categorical outcomes were analyzed using Fisher’s exact test and continuous outcomes using linear regression models, Wilcoxon signed-rank test, Kruskal-Wallis test, t test, and ANOVA.Results.We analyzed 145 samples from 50 patients with rheumatic disease, 56% of whom had systemic lupus erythematosus (SLE). HCQ concentration varied widely among individuals at each trimester. Mean physician’s global assessment scores in patients with SLE were significantly higher in those with average drug levels ≤ 100 ng/ml compared to > 100 ng/ml (0.93 vs 0.32, p = 0.01). Of patients with SLE, 83% with average drug levels ≤ 100 ng/ml delivered prematurely (n = 6), compared to only 21% with average levels > 100 ng/ml (n = 19; p = 0.01). HCQ levels were not associated with prematurity or disease activity in non-SLE patients.Conclusion.With both high and low HCQ levels associated with preterm birth and disease activity in SLE, further study is necessary to understand HCQ disposition throughout pregnancy and to clarify the relationship between drug levels and outcomes.
Biologic and Glucocorticoid Use after Methotrexate Initiation in Patients with Rheumatoid Arthritis
Authors: George Michael D. , Sauer Brian C. , Teng Chia-Chen , Cannon Grant W. , England Bryant R. , Kerr Gail S. , Mikuls Ted R. , Baker Joshua F. 
Published: October 2018

Objective.Biologic therapies can improve disease control for patients with rheumatoid arthritis (RA) but may be both overused and underused. We aimed to identify predictors of greater use of biologic therapies and to identify factors associated with persistent glucocorticoid use.Methods.Using national US Veteran’s Affairs databases 2005–2016, we identified patients with RA receiving a first-ever prescription of methotrexate (MTX), requiring ≥ 6 months of baseline data. We evaluated predictors of biologic therapy initiation within 2 years of starting MTX and factors associated with baseline and persistent glucocorticoid use at 6–12 months using multivariable models.Results.Among 17,415 patients starting MTX, 3263 patients received biologic therapy within 2 years (20.6% 2-yr incidence). In adjusted analyses, biologic use was substantially lower in older patients [e.g., aHR 0.20 (95% CI 0.16, 0.26) for patients ≥ 80 vs < 50] and patients with more comorbidities [aHR 0.79 (95% CI 0.72, 0.87) for Charlson score ≥ 3 vs < 3]. Patients with heart failure [aHR 0.68 (95% CI 0.54, 0.84)], cancer [aHR 0.78 (95% CI 0.66, 0.92)], or who were nonwhite [aHR 0.79 (95% CI 0.72, 0.87)] were also less likely to receive a biologic. In contrast, baseline and persistent glucocorticoid use was similar across age groups and more common in patients with greater comorbidity.Conclusion.Biologic therapy is initiated less frequently in patients with RA who are older, have more comorbidities, and who are nonwhite. While biologics may be avoided in older and sicker patients because of safety concerns, glucocorticoid use is similar regardless of age and is more frequent in patients with comorbidities, with implications for patient outcomes.
Relationship Between Insulin Sensitivity and β-Cell Secretion in Nondiabetic Subjects with Rheumatoid Arthritis
Authors: Tejera-Segura Beatriz , López-Mejías Raquel , de Vera-González Antonia M. , Jiménez-Sosa Alejandro , Olmos José M. , Hernández José L. , Llorca Javier , González-Gay Miguel A. , Ferraz-Amaro Iván 
Published: October 2018

Objective.In nondiabetic healthy individuals, insulin secretion and sensitivity are linked by a negative feedback loop characterized by a hyperbolic function. We aimed to study the association of traditional insulin resistance (IR) factors with insulin secretion and sensitivity, and to determine whether the hyperbolic equilibrium of this relation is preserved in patients with rheumatoid arthritis (RA).Methods.This was a cross-sectional study encompassing 361 nondiabetic individuals: 151 with RA and 210 controls. Insulin, C-peptide, and IR indices by homeostatic model (HOMA2) were assessed. A multivariable analysis was performed to evaluate the differences in the correlation of traditional IR-related factors with glucose homeostasis molecules, as well as IR indices between patients and controls. Nonlinear regression analysis was used to assess the hyperbolic relation of insulin sensitivity and secretion.Results.HOMA2-IR indices were higher in patients with RA than controls. Hepatic insulin extraction, as assessed by the insulin:C-peptide molar ratio, was lower in patients with RA after multivariable analysis (0.08 ± 0.02 vs 0.14 ± 0.07, p < 0.001). Traditional IR-related factors showed significantly lower adjusted correlation coefficients with IR indices in patients with RA. The association between insulin sensitivity and secretion showed a different hyperbolic relation in patients with RA: the variability explained by the curve was lower in RA (nonlinear r2= 0.845 vs r2= 0.928, p = 0.001) and β coefficients (−0.74, 95% CI −0.77 to −0.70 vs −1.09, 95% CI −1.17 to −1.02, ng/ml, p < 0.001) were different in RA.Conclusion.The traditional factors associated with IR in healthy individuals are less related to IR in patients with RA. Insulin sensitivity and secretion yield a different hyperbolic equilibrium in RA.
Adaptive Node Degree Adjustment Based Power Control Method for Wireless Sensor Networks
Authors: Hu Huang Shui , Zheng Man , Zhang Bang Cheng , Qing Jin Hui 
Published: October 2018

Properly adjusting the transmission power of the wireless sensor nodes has shown to be an effective approach to reduce energy consumption and to improve the network reliability. I In this paper, an adaptive Node Degree adjustment based Power Control method for wireless sensor networks (NDPC) is proposed to dynamically adjust the transmission power of the nodes. In NDPC, each node is embedded with a fuzzy neural controller which is used to adjust the target node degree so as to control the communication range properly. The fuzzy neural controller consists of two Fuzzy Inference Systems (FIS). One adopts closed-loop feedback mechanism to adjust the target node degree according to the residual energy. The other adjusts the communication range by a self-learning neural network to control the transmission power based on the target node degree. Consequently, the actual energy consumption of the node is reduced while keeping the desired node degree. Several simulation experiments are conducted to evaluate the performance of NDPC, and the results show that NDPC can reduce the actual energy consumption as well as extend the network lifetime.
Volunteer Observer Bias and Sharp-Tailed Grouse Lek Counts in the Upper Midwest
Authors: Corace R. Gregory , Weiss Shelby A. , Shartell Lindsey M. 
Published: October 2018

Abstract
For most species of prairie grouse Tympanuchus spp. standardized monitoring protocols do not exist across adjoining jurisdictions. For instance, researchers monitor relatively small and disjunct populations of prairie sharp-tailed grouse Tympanuchus phasisanellus campestris in Michigan, Wisconsin, and Minnesota using different lek count protocols. Some of these state-led monitoring efforts include the widespread use of volunteers who conduct lek counts without training. To facilitate discussions regarding standardizing sharp-tailed grouse lek count protocols in the Upper Midwest and elsewhere, we quantified the magnitude of differences in data arising from lek counts conducted by paired observers and examined factors potentially associated with observer bias (e.g., training type, use of optical equipment, experience). During 2010–2015, 44 unique pairs of formally trained volunteers in the Upper Peninsula of Michigan performed 93 counts at one lek while controlling for weather, distance to the lek, and the timing of observations. All counts consisted of six 1 min observations over 1 h. At three leks in northeastern Minnesota during 2015, nine pairs (consisting of an individual new to lek counts and a more experienced biologist) performed 21 lek counts using the same protocols, but without formal training for novice observers. Across all years and all sites, our results consistently indicated more agreement in data for dancing birds than nondancing birds. Overall, the mean ± SE difference between paired observers for total birds (dancing and nondancing combined) was 1.05 ± 0.09 in Michigan and 0.37 ± 0.08 in Minnesota. Generalized linear models indicated that the use of optical equipment and training type for dancing birds and training type for nondancing birds were significant factors that improved data agreement in Michigan. In Minnesota, models indicated that experience level (number of surveys performed) of the technician or volunteer did not affect count differences for dancing birds or nondancing birds. We contend that using behavior as a proxy for sex can bias lek count data for sharp-tailed grouse. We suggest lek count protocols in the Upper Midwest be simplified and standardized. Specifically, we suggest that observers report the total number of observed birds (regardless of behavior) and that protocols establish a set duration of observation. We also suggest that the use of optical equipment be required and that training be mandatory.
Automated Audiovisual Feedback in Cardiopulmonary Resuscitation Training: Improving Skills in Pediatric Intensive Care Nurses
Authors: Bishop Robert , Joy Brian , Moore-Clingenpeel Melissa , Maa Tensing 
Published: October 2018

Background
High-quality cardiopulmonary resuscitation is associated with improved survival and neurological outcomes after cardiac arrest. Unfortunately, health care professionals frequently do not perform resuscitation within guidelines after life-support training.

Objectives
To determine if brief intermittent training in cardiopulmonary resuscitation could improve nurses’ skills to perform high-quality resuscitation 70% or more of the time during 2 minutes of cardiopulmonary resuscitation after 3 training sessions.

Methods
In a prospective single-center quality improvement program, pediatric critical care nurses had monthly training in cardiopulmonary resuscitation. A portable manikin/defibrillator with a chest compression sensor was used to provide corrective audiovisual feedback to optimize resuscitation skills. Resuscitation was practiced on an adult manikin. Target goals were compression depth 2 in or greater at a compression rate of 100/min to 120/minute. Percentage of time in the target range and mean compression depth and rate were recorded. Data were collected every other month. The percentage of time both compression rate and depth were in the target range was compared among nurses with different total numbers of training sessions.

Results
Of the 62 nurses who participated in the training, 48 had data collected. The median percentage of time in the target range improved from 29% with no training to 46% after 1 session, 54% after 2 sessions, 68% after 3 sessions, and 74% after 4 sessions (P = .001). Compression depth increased with the number of training sessions (P = .002).

Conclusions
This training program in cardiopulmonary resuscitation yielded significant skill improvement and retention.
EF Hand Domain Family Member D2 Is Required for T Cell Cytotoxicity
Authors: Peled Michael , Dragovich Matthew A. , Adam Kieran , Strazza Marianne , Tocheva Anna S. , Vega Irving E. , Mor Adam 
Published: October 2018

Abstract
Programmed cell death 1 (PD-1) is a major coinhibitory receptor and a member of the immunological synapse (IS). To uncover proteins that regulate PD-1 recruitment to the IS, we searched for cytoskeleton-related proteins that also interact with PD-1 using affinity purification mass spectrometry. Among these proteins, EF hand domain family member D2 (EFHD2), a calcium binding adaptor protein, was functionally and mechanistically analyzed for its contribution to PD-1 signaling. EFHD2 was required for PD-1 to inhibit cytokine secretion, proliferation, and adhesion of human T cells. Interestingly, EFHD2 was also required for human T cell–mediated cytotoxicity and for mounting an antitumor immune response in a syngeneic murine tumor model. Mechanistically, EFHD2 contributed to IS stability, lytic vesicles trafficking, and granzyme B secretion. Altogether, EFHD2 is an important regulator of T cell cytotoxicity and further studies should evaluate its role in T cell–mediated inflammation.
Sex Differences on the Landing Error Scoring System Among Individuals With Anterior Cruciate Ligament Reconstruction
Authors: Kuenze Christopher M. , Trigsted Stephanie , Lisee Caroline , Post Eric , Bell David R. 
Published: October 2018

Context:
After anterior cruciate ligament reconstruction (ACLR), women have a greater risk of incurring a second anterior cruciate ligament injury and they display different landing movement patterns than men. It remains unclear if clinical movement-assessment tools, such as the Landing Error Scoring System (LESS), can detect sex differences in movement patterns after ACLR.

Objective:
To compare total LESS scores and individual LESS errors between men and women with a history of ACLR.

Design:
Cross-sectional study.

Setting:
Laboratory.

Patients or Other Participants:
A total of 168 individuals (41 men and 127 women; mean age: men = 20 years [range, 19–25 years], women = 19 years [range, 18–20 years]; mean time since surgery: men = 21 months [range, 12–36 months], women = 27.5 months [range, 17–39 months]) with a history of primary, unilateral ACLR.

Main Outcome Measure(s):
Participants completed a minimum of 3 trials of a drop vertical-jump task scored using the LESS. The between-sexes difference in LESS score was assessed using analysis of covariance, whereas the associations between participant sex and errors on each LESS item were assessed using logistic or multinomial regression.

Results:
Women displayed a greater number of total landing errors (men = 4.6 ± 2.3, women = 6.1 ± 2.3; P &lt; .001) and were more likely to commit errors in trunk flexion at initial contact (men = 4.9%, women = 23.6%; odds ratio [OR] = 4.94), medial knee position at initial contact (men = 17.1%, women = 42.5%; OR = 6.01), medial knee displacement (men = 24.4%, women = 73.2%; OR = 7.88), total joint displacement (1 error: men = 58.5%, women = 71.7%, OR = 2.10; 2 errors: men = 7.3%, women = 14.2%, OR = 3.71), and overall impression (1 error: men = 75.6%, women = 84.3%, OR = 3.24; 2 errors: men = 2.4%, women = 10.2%, OR = 12.89) compared with men.

Conclusions:
Women with ACLR displayed worse LESS scores and were more likely to commit errors related to medial knee displacement and overall landing quality than men with ACLR.