bluuebunny/crossref_metadata_2025_split huggingface dataset:
A nearby luminous AGN sample optically selected from Hubble Space Telescope
Authors: Li Shuang-Liang 
Published: October 2019

ABSTRACT
In this work, a nearby luminous active galactic nucleus (AGN) sample is selected from Hubble Space Telescope(HST), where only sources with both X-ray emission observed by Chandra/XMM–Newton and radio flux detected by Very Large Array (VLA)/Very Long Baseline Array (VLBA)/very long baseline interferometry (VLBI)/Multi-Element Radio Linked Interferometer Network (MERLIN) are adopted to keep high precision. Finally, we get a sample of 30 luminous AGNs, which consists of 11 radio-loud AGNs (RLAGN) and 19 radio-quiet AGNs (RQAGN). It is found that the relationship between RUV and αox, which was first reported by Li & Xie in low-luminosity AGNs (LLAGN), and other relationships are all absent in RLAGN, probably due to the complex physical process therein. Our results indicate that the X-ray emission from jet should play an important role in RLAGN and further support the transition of accretion mode between LLAGN and RLAGN. On the other hand, the traditional relationships in RQAGN, such as αox and λ, Γ and λ, are found to be well consistent with previous works.
A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) – I. Search for exoplanets and variable stars in the field of 47 Tuc
Authors: Nardiello D , Borsato L , Piotto G , Colombo L S , Manthopoulou E E , Bedin L R , Granata V , Lacedelli G , Libralato M , Malavolta L , Montalto M , Nascimbeni V 
Published: October 2019

ABSTRACT
The TESS mission will survey ∼85  per cent of the sky, giving us the opportunity of extracting high-precision light curves of millions of stars, including stellar cluster members. In this work, we present our project ‘A PSF-based Approach to TESS High quality data Of Stellar clusters’ (PATHOS), aimed at searching and characterize candidate exoplanets and variable stars in stellar clusters using our innovative method for the extraction of high-precision light curves of stars located in crowded environments. Our technique of light-curve extraction involves the use of empirical point spread functions (PSFs), an input catalogue and neighbour-subtraction. The PSF-based approach allows us to minimize the dilution effects in crowded environments and to extract high-precision photometry for stars in the faint regime (G &gt; 13). For this pilot project, we extracted, corrected, and analysed the light curves of 16 641 stars located in a dense region centred on the globular cluster 47 Tuc. We were able to reach the TESS magnitude T ∼ 16.5 with a photometric precision of ${\sim} 1{{\ \rm per\ cent}}$ on the 6.5-h time-scale; in the bright regime we were able to detect transits with depth of ∼34 parts per million. We searched for variables and candidate transiting exoplanets. Our pipeline detected one planetary candidate orbiting a main-sequence star in the Galactic field. We analysed the period–luminosity distribution for red-giant stars of 47 Tuc and the eclipsing binaries in the field. Light curves are uploaded on the Mikulski Archive for Space Telescopes under the project PATHOS.
The life cycle of the Central Molecular Zone – I. Inflow, star formation, and winds
Authors: Armillotta Lucia , Krumholz Mark R , Di Teodoro Enrico M , McClure-Griffiths N M 
Published: October 2019

ABSTRACT
We present a study of the gas cycle and star formation history in the central 500 pc of the Milky Way, known as Central Molecular Zone (CMZ). Through hydrodynamical simulations of the inner 4.5 kpc of our Galaxy, we follow the gas cycle in a completely self-consistent way, starting from gas radial inflow due to the Galactic bar, the channelling of this gas into a dense, star-forming ring/stream at ≈200–300 pc from the Galactic centre, and the launching of galactic outflows powered by stellar feedback. We find that star formation activity in the CMZ goes through oscillatory burst/quench cycles, with a period of tens to hundreds of Myr, characterized by roughly constant gas mass but order-of-magnitude level variations in the star formation rate. Comparison with the observed present-day star formation rate of the CMZ suggests that we are currently near a minimum of this cycle. Stellar feedback drives a mainly two-phase wind off the Galactic disc. The warm phase dominates the mass flux, and carries $100\!-\!200{{\ \rm per\ cent}}$ of the gas mass converted into stars. However, most of this gas goes into a fountain and falls back on to the disc rather than escaping the Galaxy. The hot phase carries most of the energy, with a time-averaged energy outflow rate of $10\!-\!20{{\ \rm per\ cent}}$ of the supernova energy budget.
SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble
Authors: Huh Ruth , Yang Yuchen , Jiang Yuchao , Shen Yin , Li Yun 
Published: October 2019

AbstractClustering is an essential step in the analysis of single cell RNA-seq (scRNA-seq) data to shed light on tissue complexity including the number of cell types and transcriptomic signatures of each cell type. Due to its importance, novel methods have been developed recently for this purpose. However, different approaches generate varying estimates regarding the number of clusters and the single-cell level cluster assignments. This type of unsupervised clustering is challenging and it is often times hard to gauge which method to use because none of the existing methods outperform others across all scenarios. We present SAME-clustering, a mixture model-based approach that takes clustering solutions from multiple methods and selects a maximally diverse subset to produce an improved ensemble solution. We tested SAME-clustering across 15 scRNA-seq datasets generated by different platforms, with number of clusters varying from 3 to 15, and number of single cells from 49 to 32 695. Results show that our SAME-clustering ensemble method yields enhanced clustering, in terms of both cluster assignments and number of clusters. The mixture model ensemble clustering is not limited to clustering scRNA-seq data and may be useful to a wide range of clustering applications.
The economics of water scarcity and variability
Authors: Damania Richard 
Published: October 2019

AbstractDoes the availability or variability of water matter for the economy? Does it meaningfully impact the growth and development trajectory of a country? It may seem surprising that answers to these most basic of questions remain elusive. The aim of this paper is to summarize recent work on the economic impacts of water scarcity and variability. The paper finds that there is strong evidence that variations in rainfall and water availability have significant impacts on particular sectors, such as agriculture, human capital, and even conflict. But paradoxically evidence of impacts on economic growth and other measures of aggregate economic activity remains ambiguous. The paper explains reasons for this anomaly and explores the pathways through which water impacts the economy. The paper provides a synthesis of key developments in the literature, identifies methodological gaps, and suggests policy solutions.
The myositis clinical phenotype associated with anti-Zo autoantibodies: a case series of nine UK patients
Authors: Tansley Sarah L , Betteridge Zoe , Lu Hui , Davies Emma , Rothwell Simon , New Paul P , Chinoy Hector , Gordon Patrick , Gunawardena Harsha , Lloyd Mark , Stratton Richard , Cooper Robert , McHugh Neil J 
Published: October 2019

Abstract

Objectives
It has been over 10 years since the first report of autoantibodies directed against phenylalanyl tRNA synthetase (anti-Zo) in a patient with features of the anti-synthetase syndrome. In that time no further cases have been published. Here we aim to characterize more fully the clinical phenotype of anti-Zo–associated myositis by describing the clinical features of nine patients.

Methods
Anti-Zo was identified by protein-immunoprecipitation in patients referred for extended spectrum myositis autoantibody testing at our laboratory. Results were confirmed by immunodepletion using a reference serum. Medical records were retrospectively reviewed to provide detailed information of the associated clinical phenotype for all identified patients. Where possible, HLA genotype was imputed using Illumina protocols.

Results
Nine patients with anti-Zo were identified. The median age at disease onset was 51 years, and six patients were female. Seven patients had evidence of inflammatory muscle disease, seven of interstitial lung disease and six of arthritis. The reported pattern of interstitial lung disease varied with usual interstitial pneumonia, non-specific interstitial pneumonia and organizing pneumonia all described. Other features of the anti-synthetase syndrome such as RP and mechanics hands were common. HLA data was available for three patients, all of whom had at least one copy of the HLA 8.1 ancestral haplotype.

Conclusion
Patients with anti-Zo presenting with features of the anti-synthetase syndrome and interstitial lung disease is a common finding. Like other myositis autoantibodies, there is likely to be a genetic association with the HLA 8.1 ancestral haplotype.
Reframing, Reconciling, and Individualizing: How LGBTQ Activist Groups Shape Approaches to Religion and Sexuality
Authors: Coley Jonathan S 
Published: October 2019

AbstractPast research reveals the multiple ways that people grapple with the connections between religious and sexual identities. Some people perceive religious identities to be in conflict with lesbian, gay, bisexual, or queer (LGBQ) identities, but others believe such identities to be compatible. Some people look to religious authorities for guidance in understanding the connections between religious and LGBQ identities, whereas others rely on strategies of religious individualism. What factors affect people’s approaches to understanding the connections between religious and sexual identities? Drawing on 77 interviews with participants in lesbian, gay, bisexual, transgender, and queer (LGBTQ) activist groups at four Christian colleges and universities, and employing Goffmanian insights, this article shows how LGBTQ activist groups’ different audiences inspire distinct approaches to understanding religion and sexuality. The study demonstrates that activist groups can powerfully shape understandings of seemingly disparate social identities and suggests a theoretical framework for future research.
Stress Reduction Strategies Used by Midlife Black Women to Target Cardiovascular Risk
Authors: Jones Holly J. , Norwood Carolette R. , Bankston Karen , Bakas Tamilyn 
Published: October 2019

Background
Midlife black women are at a high risk for cardiovascular disease and experience higher morbidity and mortality rates. Chronic life stress contributes to the existent cardiovascular-related disparities for midlife black women.

Objectives
The purpose of this qualitative study was to describe stress reduction strategies relevant to midlife black women, identify barriers, and generate ideas for the development of a stress reduction wellness intervention for midlife black women.

Methods
A community advisory board consisting of 11 midlife black women from the Midwest was established and charged with exploring life stress and stress-related issues for women like themselves. The community advisory board was led through a series of focus group discussions using open-ended questions focused on stress reduction strategies used by midlife black women, what kept them from incorporating stress reduction strategies into their daily routines, and what would be helpful in a stress reduction routine. Discussions were audiotaped, transcribed, coded, and analyzed using content analysis.

Results
Stress reduction strategies identified included exercise, faith and prayer, self-care, sisterhood, volunteerism, and mindfulness. Barriers to adopting stress reduction behaviors included time, finances, physical limitations, health status, health insurance, and guilt. Suggested modes of delivery for an intervention included informative lectures and coaching, demonstration, team sessions, social media, and continued access.

Conclusions
Findings from this study were consistent with those from a preliminary study focused on midlife black women from the West Coast. Recommendations will inform development of a stress reduction wellness intervention for midlife black women.
Creating a Culture of Caring
Authors: Letcher Deborah C. , Massey Ann M. , Nelson Mary J. , Elverson Cynthia Anderson 
Published: October 2019

Background
Preparation of nursing students has traditionally occurred in academic settings where faculty develop programs of study. Practice settings often find themselves investing in significant education and support as the new-graduate nurse transitions into the RN role.

Problem
A gap in preparation exists between academic and practice expectations for the generalist RN role.

Approach
Collaboration among academic and practice partners in the development of a core clinical curriculum, along with supporting content and learning activities, provides enriched clinical experiences that enhance readiness for the practicing role.

Outcomes
The Culture of Caring (COC) Model guides academic and practice partners as a teaching-learning framework for the preparation of nursing students.

Conclusions
The COC clinical curriculum bundles together supporting resources that include a handbook, workbook, faculty pocket guide, calendar, and nursing student cards used to foster the clinical experience.
Discrepancies between Registered and Published Primary and Secondary Outcomes in Randomized Controlled Trials within the Plastic Surgery Literature: A Systematic Review
Authors: Hudson Alexandra S. , Morzycki Alexander D. , Samargandi Osama A. , Williams Jason G. 
Published: October 2019

Background:
Recent studies have identified a high incidence of discrepancy between registered and published outcomes in registered medical and surgical randomized controlled trials. This has not yet been studied in the plastic surgery literature.

Methods:
The authors systematically assessed plastic surgery randomized controlled trials published between 2012 and 2016 in seven high-impact plastic surgery journals. Data were collected from the registration website and published articles using a standardized data extraction form.

Results:
A total of 145 randomized controlled trials were identified, with a 39 percent trial registration rate (n = 57). Forty-nine trials were included in the final analysis. Forty-three (88 percent) had a discrepancy between registered and published outcomes: 26 (53 percent) for primary outcome(s), and 39 (80 percent) for secondary outcome(s). The number of discrepancies in an individual trial ranged from one to seven for primary outcomes and one to 12 for secondary outcomes. Aesthetic surgery had the largest number of trials with outcome discrepancies (n = 15). The prevalence of unreported registered outcomes was 13 percent for primary outcomes and 38 percent for secondary outcomes. Registered nonsignificant primary outcomes were published as nonsignificant secondary outcomes in 30 percent of trials. Publishing new nonregistered secondary outcomes (65 percent) and changing the assessment timing of published primary outcomes (61 percent) were the most common types of discrepancies. Discrepancies favored a statistically significant positive outcome in 19 (44 percent) of the 43 trials with an outcome discrepancy. Discrepancies that resulted in published outcomes with improved patient relevance were found in eight trials (16 percent) for primary outcome discrepancies and 14 trials (29 percent) for secondary outcome discrepancies.

Conclusions:
The plastic surgery literature has high rates of discrepancies between registered and published trial outcomes. Outcome reporting discrepancy is even more problematic for secondary outcomes, an area of analysis that has previously been poorly studied. The high rate of discrepancy change favoring a statistically significant outcome and more patient-relevant outcomes may indicate the pressure to demonstrate significant results to be accepted for publication in high-impact journals.
Local socioeconomic status and paramedic students’ academic performance
Authors: Hamel Lydia , Procum Ashley , Hunter Justin , Gridley Donna , O’Connor Kathleen , Fentress Thomas , Goenner Christopher , Khalsa Sahaj , Batt Alan M. 
Published: October 2019

AbstractResearch indicates students of lower socioeconomic status (SES) are educationally disadvantaged. We sought to examine differences in paramedic student academic performance from counties with varying SES in the United States. Student performance data and SES data were combined for counties within the states of California, Mississippi, Louisiana, Texas and Virginia. Linear multiple regression modelling was performed to determine the relationship between income, high school graduation rate, poverty and food insecurity with first-attempt scores on the Fisdap Paramedic Readiness Exam (PRE) versions 3 and 4. Linear regression models indicated that there was a significant relationship between county-level income, poverty, graduation rate, food insecurity, and paramedic student academic performance. It remains unclear what type of relationship exists between individual SES and individual academic performance of paramedic students. These findings support the future collection of individual student level SES data in order to identify issues and mitigate impact on academic performance.
A link between mitochondrial gene expression and life stage morphologies inTrypanosoma cruzi
Authors: Ramirez-Barrios Roger , Susa Emily K. , Faacks Sean P. , Liggett Charles K. , Zimmer Sara L. 
Published: October 2019

SummaryThe protozoanTrypanosoma cruzihas a complicated dual-host life cycle, and starvation can trigger transition from the replicating insect stage to the mammalian-infectious nonreplicating insect stage (epimastigote to trypomastigote differentiation). Abundance of some mature RNAs derived from its mitochondrial genome increase during culture starvation ofT.cruzifor unknown reasons. Here we examineT. cruzimitochondrial gene expression in the mammalian intracellular replicating life stage (amastigote), and uncover implications of starvation-induced changes in gene expression in insect-stage cells. Mitochondrial RNA levels in general were found to be lowest in actively replicating amastigotes. We discovered that mitochondrial respiration decreases during starvation, despite the previously-observed increases in mitochondrial mRNAs encoding electron transport chain components. Surprisingly,T. cruziepimastigotes in replete medium grow at normal rates when we genetically compromised their ability to perform insertion/deletion editing and thereby generate mature forms of some mitochondrial mRNAs. However, these cells, when starved, were impeded in the epimastigote to trypomastigote transition. Further, they experience a short-flagella phenotype that may also be linked to differentiation. We hypothesize a scenario where levels of mature RNA species or editing in the singleT. cruzimitochondrion are linked to differentiation by a yet-unknown signaling mechanism.
KinasepKipred: A Predictive Model for Estimating Ligand-Kinase Inhibitor Constant (pKi)
Authors: Govinda KC , Hassan Md Mahmudulla , Sirimulla Suman 
Published: October 2019

AbstractKinases are one of the most important classes of drug targets for therapeutic use. Algorithms that can accurately predict the drug-kinase inhibitor constant (pKi) of kinases can considerably accelerate the drug discovery process. In this study, we have developed computational models, leveraging machine learning techniques, to predict ligand-kinase (pKi) values. Kinase-ligand inhibitor constant (Ki) data was retrieved from Drug Target Commons (DTC) and Metz databases. Machine learning models were developed based on structural and physicochemical features of the protein and, topological pharmacophore atomic triplets fingerprints of the ligands. Three machine learning models [random forest (RFR), extreme gradient boosting (XGBoost) and artificial neural network (ANN)] were tested for model development. The performance of our models were evaluated using several metrics with 95% confidence interval. RFR model was finally selected based on the evaluation metrics on test datasets and used for web implementation. The best and selected model achieved a Pearson correlation coefficient (R) of 0.887 (0.881, 0.893), root-mean-square error (RMSE) of 0.475 (0.465, 0.486), Concordance index (Con. Index) of 0.854 (0.851, 0.858), and an area under the curve of receiver operating characteristic curve (AUC-ROC) of 0.957 (0.954, 0.960) during the internal 5-fold cross validation.AvailabilityGitHub: https://github.com/sirimullalab/KinasepKipred, Docker: sirimullalab/kinasepkipredImplementationhttps://drugdiscovery.utep.edu/pki/Graphical TOC Entry
Transcranial Electrical Stimulation Motor Threshold Combined with Reverse-Calculated Electric Field Modeling Can Determine Individualized tDCS Dosage
Authors: Caulfield Kevin A. , Badran Bashar W. , DeVries William H. , Summers Philipp M. , Kofmehl Emma , Li Xingbao , Borckardt Jeffrey J. , Bikson Marom , George Mark S. 
Published: October 2019

AbstractBackgroundUnique amongst brain stimulation tools, transcranial direct current stimulation (tDCS) currently lacks an easy method for individualizing dosage.ObjectiveCan one individually dose tDCS? We developed a novel method of reverse-calculating electric-field (E-field) models based on Magnetic Resonance Imaging (MRI) scans that can determine individualized tDCS dose. We also sought to develop an MRI-free method of individualizing tDCS dose by measuring transcranial magnetic stimulation (TMS) motor threshold (MT) and single pulse, suprathreshold transcranial electrical stimulation (TES) MT and regressing it against E-field modeling.MethodsIn 29 healthy adults, we acquired TMS MT, TES MT, and structural MRI scans with a fiducial marking the motor hotspot. We then computed a “reverse-calculated tDCS dose” of tDCS applied at the scalp needed to cause a 1.00V/m E-field at the cortex. Finally, we examined whether the predicted E-field values correlated with each participant’s measured TMS MT or TES MT.ResultsWe were able to determine a reverse-calculated tDCS dose for each participant. The Transcranial Electrical Stimulation MT, but not the Transcranial Magnetic Stimulation MT, significantly correlated with the calculated tDCS dose determined by E-field modeling (R2 = 0.509, p < 0.001).ConclusionsReverse-calculation E-field modeling, alone or in combination with TES MT, shows promise as a method to individualize tDCS dose. The large range of the reverse-calculated tDCS doses between subjects underscores the likely need to individualize tDCS dose. If these results are confirmed in future studies, TES MT may evolve into an inexpensive and quick method to individualize tDCS dose.