bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solid fuels for cooking and tobacco use and risk of major chronic liver disease mortality: a prospective cohort study of 0.5 million Chinese adults
Authors: Chan Ka Hung , Bennett Derrick A , Kurmi Om P , Yang Ling , Chen Yiping , Lv Jun , Guo Yu , Bian Zheng , Yu Canqing , Chen Xiaofang , Dong Caixia , Li Liming , Chen Zhengming , Lam Kin Bong Hubert ,   on behalf of the China Kadoorie Biobank Study Group
Published: September 2019

Abstract

Background
Harmful substances in solid fuel and tobacco smoke are believed to enter the bloodstream via inhalation and to be metabolized in the liver, leading to chronic liver damage. However, little is known about the independent and joint effects of solid fuel use and smoking on risks of chronic liver disease (CLD) mortality.

Methods
During 2004–08, ∼0.5 million adults aged 30–79 years were recruited from 10 areas across China. During a 10-year median follow-up, 2461 CLD deaths were recorded. Multivariable Cox regression yielded adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the individual associations of self-reported long-term cooking fuel and tobacco use with major CLD death.

Results
Overall, 49% reported solid fuel use and 26% smoked regularly. Long-term solid fuel use for cooking and current smoking were associated with higher risks of CLD deaths, with adjusted HRs of 1.26 (95% CI, 1.02–1.56) and 1.28 (1.13–1.44), respectively. Compared with never-smoking clean fuel users, the HRs were 1.41 (1.10–1.82) in never-smoking solid fuel users, 1.55 (1.17–2.06) in regular-smoking clean fuel users and 1.71 (1.32–2.20) in regular-smoking solid fuels users. Individuals who had switched from solid to clean fuels (1.07, 0.90–1.29; for median 14 years) and ex-regular smokers who stopped for non-medical reasons (1.16, 0.95–1.43; for median 10 years) had no evidence of excess risk of CLD deaths compared with clean fuel users and never-regular smokers, respectively.

Conclusions
Among Chinese adults, long-term solid fuel use for cooking and smoking were each independently associated with higher risks of CLD deaths. Individuals who had stopped using solid fuels or smoking had lower risks.
Effects of Carrion Relocation on the Succession of Newly Arriving Adult Necrophilous Insects
Authors: Cruise Angela , Kakumanu Madhavi L , Watson David W , Schal Coby 
Published: September 2019

AbstractEcological succession of necrophilous insects follows a predictable sequence, related to their differential attraction to changing odor profiles associated with carrion and colonizing insects. However, the dependency of insect arrival on the duration of the carrion’s residency at a location has not been investigated. To assess the fidelity of necrophilous insects to carrion of specific decomposition ages, independent of its location, we monitored the decomposition of neonate pigs in one field and then simultaneously relocated carcasses of different decomposition ages to an ecologically similar but remote field. We examined the effects of decomposition age and relocation on the assembly of the necrophilous insect community, using a novel vented-chamber trap, which excluded all sensory cues except odors. Community composition differed over a 4-d decomposition period, showing that insects were differentially attracted to pigs of different decomposition ages. There was overall concordance between respective decomposition ages in the two fields, with similar relative abundances of taxa before and after transfer. Although different decomposition ages continued to attract different insects, differentiation of the necrophilous insect communities relative to the age of decomposition was less pronounced after transfer. The results of this study demonstrate that translocating a decomposing body to a new, but geographically and ecologically similar location continues the predicted insect succession, albeit with greater variance, based on olfactory cues alone. Several rare taxa were sampled only prior to relocation, including the first documentation of the invasive hairy maggot blow fly, Chrysomya rufifacies (Macquart) (Diptera: Calliphoridae), in central North Carolina.
Chemically induced herbicide tolerance in rice by the safener metcamifen is associated with a phased stress response
Authors: Brazier-Hicks Melissa , Howell Anushka , Cohn Jonathan , Hawkes Tim , Hall Gavin , Mcindoe Eddie , Edwards Robert 
Published: September 2019

Abstract
The closely related sulphonamide safeners, metcamifen and cyprosulfamide, were tested for their ability to protect rice from clodinafop-propargyl, a herbicide normally used in wheat. While demonstrating that both compounds were equally bioavailable in planta, only metcamifen prevented clodinafop from damaging seedlings, and this was associated with the enhanced detoxification of the herbicide. Transcriptome studies in rice cultures demonstrated that whereas cyprosulfamide had a negligible effect on gene expression over a 4 h exposure, metcamifen perturbed the abundance of 590 transcripts. Changes in gene expression with metcamifen could be divided into three phases, corresponding to inductions occurring over 30 min, 1.5 h and 4 h. The first phase of gene induction was dominated by transcription factors and proteins of unknown function, the second by genes involved in herbicide detoxification, while the third was linked to cellular homeostasis. Analysis of the inducible genes suggested that safening elicited similar gene families to those associated with specific biotic and abiotic stresses, notably those elicited by abscisic acid, salicylic acid, and methyl jasmonate. Subsequent experiments with safener biomarker genes induced in phase 1 and 2 in rice cell cultures provided further evidence of similarities in signalling processes elicited by metcamifen and salicylic acid.
Genetic variation for photosynthetic capacity and efficiency in spring wheat
Authors: Silva-Pérez Viridiana , De Faveri Joanne , Molero Gemma , Deery David M , Condon Anthony G , Reynolds Matthew P , Evans John R , Furbank Robert T 
Published: September 2019

AbstractOne way to increase yield potential in wheat is screening for natural variation in photosynthesis. This study uses measured and modelled physiological parameters to explore genotypic diversity in photosynthetic capacity (Pc, Rubisco carboxylation capacity per unit leaf area at 25 °C) and efficiency (Peff, Pc per unit of leaf nitrogen) in wheat in relation to fertilizer, plant stage, and environment. Four experiments (Aus1, Aus2, Aus3, and Mex1) were carried out with diverse wheat collections to investigate genetic variation for Rubisco capacity (Vcmax25), electron transport rate (J), CO2 assimilation rate, stomatal conductance, and complementary plant functional traits: leaf nitrogen, leaf dry mass per unit area, and SPAD. Genotypes for Aus1 and Aus2 were grown in the glasshouse with two fertilizer levels. Genotypes for Aus3 and Mex1 experiments were grown in the field in Australia and Mexico, respectively. Results showed that Vcmax25 derived from gas exchange measurements is a robust parameter that does not depend on stomatal conductance and was positively correlated with Rubisco content measured in vitro. There was significant genotypic variation in most of the experiments for Pc and Peff. Heritability of Pc reached 0.7 and 0.9 for SPAD. Genotypic variation and heritability of traits show that there is scope for these traits to be used in pre-breeding programmes to improve photosynthesis with the ultimate objective of raising yield potential.
Burnout in Military Emergency Medicine Resident Physicians: A Cross-Sectional Study With Comparisons to Other Physician Groups
Authors: Williams Barbara J , Rudinsky Sherri L , Matteucci Michael J 
Published: September 2019

Abstract

Introduction
Physician burnout is of growing concern in the medical community and in emergency medicine (EM) in particular. It is unclear whether higher levels of burnout are associated with poorer academic or clinical performance. EM residency in military environments compared to civilian residencies has unique considerations related to additional military-specific training and operational requirements, which may contribute to burnout. The prevalence and effects of burnout on military EM resident physicians have not been investigated.

Methods
In this institutional review board-approved cross-sectional study, the prevalence of burnout and its effect on academic performance of 30 EM residents in a single 4-year military EM training program was examined. The primary instrument utilized to assess for burnout was the Maslach Burnout Inventory Health Services Survey (MBI-HSS). The primary definition of burnout utilized was a high score in both emotional exhaustion (EE) and depersonalization (DP), and a low score in personal achievement (PA). Additionally, at risk for burnout was defined as moderate or high scores in both EE and DP and low scores in PA. A secondary definition of burnout utilized was any high score in EE or DP, or a low score in PA. The findings in this cohort were compared with published reports of burnout in civilian EM resident and attending physicians as well as military orthopedic physicians. The annual American Board of Emergency Medicine In-Training Exam (ABEM-ITE) percentile ranks for each volunteer in that same academic year were collected as a measure of academic achievement.

Results
Thirty of the 40 eligible resident physicians consented to participate in this research project (75%). All 30 completed the MBI-HSS and ABEM-ITE. Burnout, using the primary definition, was found in 10% of residents with an additional 13% at risk for burnout. Using the secondary definition of burnout, 73% of residents demonstrated burnout. The prevalence of burnout as measured by the MBI-HSS was similar to that reported in civilian EM resident and practicing physician groups but 2.7 times the burnout rates found in a military orthopedic resident group. We found no relationship between any individual burnout measure in the MBI-HSS and the annual ABEM-ITE percentile scores.

Conclusion
In a small study of military EM resident physicians, level of burnout as measured by the MBI-HSS is similar to other EM populations including civilian residents and practicing physicians, though it was much higher than that of military orthopedic residents. No relationship between presence or absence of burnout and academic performance as measured by the ABEM-ITE was found.
Chemical modelling of dust–gas chemistry within AGB outflows – I. Effect on the gas-phase chemistry
Authors: Van de Sande M , Walsh C , Mangan T P , Decin L 
Published: September 2019

ABSTRACT
Chemical modelling of asymptotic giant branch (AGB) outflows is typically focused on either non-thermodynamic equilibrium chemistry in the inner region or photon-driven chemistry in the outer region. We include, for the first time, a comprehensive dust–gas chemistry in our AGB outflow chemical kinetics model, including both dust–gas interactions and grain-surface chemistry. The dust is assumed to have formed in the inner region, and follows an interstellar-like dust-size distribution. Using radiative transfer modelling, we obtain dust temperature profiles for different dust types in an O-rich and a C-rich outflow. We calculate a grid of models, sampling different outflow densities, drift velocities between the dust and gas, and dust types. Dust–gas chemistry can significantly affect the gas-phase composition, depleting parent and daughter species and increasing the abundance of certain daughter species via grain-surface formation followed by desorption/sputtering. Its influence depends on four factors: outflow density, dust temperature, initial composition, and drift velocity. The largest effects are for higher density outflows with cold dust and O-rich parent species, as these species generally have a larger binding energy. At drift velocities larger than ∼10 km s−1, ice mantles undergo sputtering; however, they are not fully destroyed. Models with dust–gas chemistry can better reproduce the observed depletion of species in O-rich outflows. When including colder dust in the C-rich outflows and adjusting the binding energy of CS, the depletion in C-rich outflows is also better reproduced. To best interpret high-resolution molecular line observations from AGB outflows, dust–gas interactions are needed in chemical kinetics models.
Resolving the puzzle of type IIP SN 2016X
Authors: Utrobin V P , Chugai N N 
Published: September 2019

ABSTRACT
The enigmatic type IIP SN 2016X demonstrates the unprecedented asphericity in the nebular Hα line profile, the absence of nebular [O i] emission, and the unusual occultation effect due to the internal dust. The hydrodynamic modelling of the bolometric light curve and expansion velocities suggests that the event is an outcome of the massive star explosion that ejected 28 M$\odot$ with the kinetic energy of 1.7 × 1051 erg and 0.03 M$\odot$ of radioactive 56Ni. We recover the bipolar distribution of 56Ni from the Hα profile via the simulation of the emissivity produced by non-spherical 56Ni ejecta. The conspicuous effect of the dust absorption in the Hα profile rules out the occultation by the dusty sphere or dusty thick disc, but turns out consistent with the thin dusty disc-like structure in the plane perpendicular to the bipolar axis. We speculate that the absence of the nebular [O i] emission might originate from the significant cooling of the oxygen-rich matter mediated by CO and SiO molecules.
Generalized model-independent characterization of strong gravitational lenses V: reconstructing the lensing distance ratio by supernovae for a general Friedmann universe
Authors: Wagner Jenny , Meyer Sven 
Published: September 2019

ABSTRACT
We determine the cosmic expansion rate from supernovae of type Ia to set up a data-based distance measure that does not make assumptions about the constituents of the universe, i.e. about a specific parametrization of a Friedmann cosmological model. The scale, determined by the Hubble constant H0, is the only free cosmological parameter left in the gravitational lensing formalism. We investigate to which accuracy and precision the lensing distance ratio D is determined from the Pantheon sample. Inserting D and its uncertainty into the lensing equations for given H0, especially the time-delay equation between a pair of multiple images, allows to determine lens properties, especially differences in the lensing potential (Δϕ), without specifying a cosmological model. We expand the luminosity distances into an analytic orthonormal basis, determine the maximum-likelihood weights for the basis functions by a globally optimal χ2-parameter estimation, and derive confidence bounds by Monte Carlo simulations. For typical strong lensing configurations between z = 0.5 and 1.0, Δϕ can be determined with a relative imprecision of 1.7 per cent, assuming imprecisions of the time delay and the redshift of the lens on the order of 1 per cent. With only a small, tolerable loss in precision, the model-independent lens characterisation developed in this paper series can be generalised by dropping the specific Friedmann model to determine D in favour of a data-based distance ratio. Moreover, for any astrophysical application, the approach presented here, provides distance measures for z ≤ 2.3 that are valid in any homogeneous, isotropic universe with general relativity as theory of gravity.
Heterogeneous evolution of the galaxy and the origin of the short-lived nuclides in the early solar system
Authors: Kaur Tejpreet , Sahijpal Sandeep 
Published: September 2019

Abstract
We present galactic chemical evolution (GCE) models of the short-lived radionuclides (SLRs), 26Al, 36Cl, 41Ca, 53Mn and 60Fe, across the entire Milky Way galaxy. The objective is to understand the spatial and temporal distribution of the SLRs in the galaxy. The gamma-ray observations infer widespread distribution of 26Al and 60Fe across the galaxy. The signatures of the SLRs in the early solar system (ESS) are found in meteorites. We present homogeneous GCE simulation models for SLRs across the galaxy. We also develop a set of heterogeneous GCE models to understand the evolution of the galaxy within independent spatial grids of area, 0.1–1 kpc2. These grids evolve distinctly in terms of nucleosynthetic contributions of massive stars. We succeeded in simulating the formation and evolution of generations of stellar clusters/association. Based on the formulation, we provide a novel method to amalgamate the origin of the solar system with the gradual evolution of the galaxy along with a self-consistent origin of SLRs. We explore the possibility of the birth of the solar system in an environment where one of the stellar clusters formed ≥ 25 Million years earlier. The decaying 53Mn and 60Fe remnants from the evolved massive stars from the cluster probably contaminated the local medium associated with the presolar molecular cloud. A Wolf-Rayet wind from a distant massive star, belonging to a distinct cluster, probably contributed, 26Al (and 41Ca) to the presolar cloud. The irradiation production of 7,10Be and 36Cl occurred later in ESS.
Latent cellular analysis robustly reveals subtle diversity in large-scale single-cell RNA-seq data
Authors: Cheng Changde , Easton John , Rosencrance Celeste , Li Yan , Ju Bensheng , Williams Justin , Mulder Heather L , Pang Yakun , Chen Wenan , Chen Xiang 
Published: September 2019

AbstractSingle-cell RNA sequencing (scRNA-seq) is a powerful tool for characterizing the cell-to-cell variation and cellular dynamics in populations which appear homogeneous otherwise in basic and translational biological research. However, significant challenges arise in the analysis of scRNA-seq data, including the low signal-to-noise ratio with high data sparsity, potential batch effects, scalability problems when hundreds of thousands of cells are to be analyzed among others. The inherent complexities of scRNA-seq data and dynamic nature of cellular processes lead to suboptimal performance of many currently available algorithms, even for basic tasks such as identifying biologically meaningful heterogeneous subpopulations. In this study, we developed the Latent Cellular Analysis (LCA), a machine learning–based analytical pipeline that combines cosine-similarity measurement by latent cellular states with a graph-based clustering algorithm. LCA provides heuristic solutions for population number inference, dimension reduction, feature selection, and control of technical variations without explicit gene filtering. We show that LCA is robust, accurate, and powerful by comparison with multiple state-of-the-art computational methods when applied to large-scale real and simulated scRNA-seq data. Importantly, the ability of LCA to learn from representative subsets of the data provides scalability, thereby addressing a significant challenge posed by growing sample sizes in scRNA-seq data analysis.
PGG.Han: the Han Chinese genome database and analysis platform
Authors: Gao Yang , Zhang Chao , Yuan Liyun , Ling YunChao , Wang Xiaoji , Liu Chang , Pan Yuwen , Zhang Xiaoxi , Ma Xixian , Wang Yuchen , Lu Yan , Yuan Kai , Ye Wei , Qian Jiaqiang , Chang Huidan , Cao Ruifang , Yang Xiao , Ma Ling , Ju Yuanhu , Dai Long , Tang Yuanyuan ,   The Han100K Initiative, Zhang Guoqing , Xu Shuhua 
Published: September 2019

Abstract
As the largest ethnic group in the world, the Han Chinese population is nonetheless underrepresented in global efforts to catalogue the genomic variability of natural populations. Here, we developed the PGG.Han, a population genome database to serve as the central repository for the genomic data of the Han Chinese Genome Initiative (Phase I). In its current version, the PGG.Han archives whole-genome sequences or high-density genome-wide single-nucleotide variants (SNVs) of 114 783 Han Chinese individuals (a.k.a. the Han100K), representing geographical sub-populations covering 33 of the 34 administrative divisions of China, as well as Singapore. The PGG.Han provides: (i) an interactive interface for visualization of the fine-scale genetic structure of the Han Chinese population; (ii) genome-wide allele frequencies of hierarchical sub-populations; (iii) ancestry inference for individual samples and controlling population stratification based on nested ancestry informative markers (AIMs) panels; (iv) population-structure-aware shared control data for genotype-phenotype association studies (e.g. GWASs) and (v) a Han-Chinese-specific reference panel for genotype imputation. Computational tools are implemented into the PGG.Han, and an online user-friendly interface is provided for data analysis and results visualization. The PGG.Han database is freely accessible via http://www.pgghan.org or https://www.hanchinesegenomes.org.
A Novel Sequence: ZOOMit-Blood Oxygen Level-Dependent for Motor-Cortex Localization
Authors: Fang Shengyu , Bai Harrison X , Fan Xing , Li Shaowu , Zhang Zhong , Jiang Tao , Wang Yinyan 
Published: September 2019

Abstract

BACKGROUND
Use of conventional blood oxygen level-dependent functional magnetic resonance imaging (conventional-BOLD-fMRI) presents challenges in accurately identifying the hand-motor cortex when a glioma involves the ipsilateral hand-knob. Zoomed imaging technique with parallel transmission (ZOOMit)-BOLD is a novel sequence allowing high spatial resolution with a relatively small field of view that may solve this problem.

OBJECTIVE
To compare the accuracy of ZOOMit-BOLD and conventional-BOLD in hand-motor cortex identification.

METHODS
A total of 20 patients with gliomas involving the sensorimotor cortex were recruited to identify the hand-motor cortex by both ZOOMit-BOLD and conventional-BOLD. Based on whether the entire or partial glioma directly invaded (was located within) the hand-knob or indirectly affected it by proximity, patients were placed into the involved or uninvolved groups, respectively. Direct cortical stimulation was applied intraoperatively to verify the location of the hand-motor cortex. Overlap indices were used to evaluate the accuracy of the hand-motor cortex identification. An overlap index equal to 0, indicating lack of overlap, was classified as inaccurate classification.

RESULTS
The accuracy of motor-cortex identification with ZOOMit-BOLD was 100% compared to only 65% with conventional-BOLD. The average overlap index yielded by ZOOMit-BOLD was higher than that of conventional-BOLD, regardless of whether gliomas directly invaded the hand-knob (P = .008) or not (P = .004). The overlap index in the involved group was significantly lower than that in the uninvolved group with both ZOOMit-BOLD (P = .002) and conventional-BOLD (P < .001).

CONCLUSION
ZOOMit-BOLD may potentially replace conventional-BOLD to identify the hand-motor cortex, particularly in cases in which gliomas directly invade the hand-knob.