bluuebunny/crossref_metadata_2025_split huggingface dataset:
Newborn body composition and child cardiovascular risk markers: a prospective multi-ethnic Asian cohort study
Authors: Ong Yi Ying , Tint Mya-Thway , Aris Izzuddin M , Yuan Wen Lun , Chen Ling-Wei , Fortier Marielle V , Choo Jonathan , Ling Lieng Hsi , Shek Lynette , Tan Kok Hian , Gluckman Peter D , Yap Fabian , Chong Yap-Seng , Godfrey Keith M , Chong Mary F-F , Chan Shiao-Yng , Eriksson Johan G , Wlodek Mary E , De Lucia Rolfe Emanuella , Ong Ken K , Michael Navin , Lee Yung Seng 
Published: July 2022

Abstract

Background
Early epidemiological studies have associated low birthweight with increased cardiovascular risk. We aimed to examine whether the fat and fat-free components of birthweight have differing relationships with childhood cardiovascular risk markers.

Methods
In the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort, air displacement plethysmography was conducted within 24 h after delivery in 290 naturally conceived singletons. We investigated associations of newborn cohort-specific standardized z-score of fat mass, fat-free mass, body fat percentage and birthweight on child (at 6 years of age) carotid intima-media thickness, pulse wave velocity, blood pressure, prehypertension/hypertension (&gt;110/70 mmHg) and standardized systolic and diastolic blood pressure (SBP and DBP) trajectories (at 3–6 years of age), taking account of maternal education, height, tobacco exposure, parity, ethnicity, child’s sex, gestational age, age at follow-up, and other maternal factors.

Results
Clear inverse associations were seen for blood pressure with z-score of fat mass [SBP, β (95% CI): −1.31 mmHg (−2.57, −0.06); DBP: −0.79 mmHg (−1.74, 0.15)] and body fat percentage [SBP: −1.46 mmHg (−2.73, −0.19); DBP: −0.80 mmHg (−1.75, 0.16)], but not with fat-free mass [SBP: 0.27 mmHg (−1.29, 1.83)]; DBP: −0.14 mmHg (−1.30, 1.03)]. Being in the lowest tertile of fat mass or body fat percentage was associated with higher blood pressure trajectories and prehypertension/hypertension risk [OR (95% CI), fat mass: 4.23 (1.41, 12.68); body fat percentage: 3.22 (1.09, 9.53)] without concomitantly higher overweight/obesity risk.

Conclusions
At birth, low adiposity was associated with increased childhood blood pressure. Low newborn adiposity might serve as a marker of poor fetal growth or suboptimal intrauterine conditions associated with hypertension risk later in life.
Histone Deacetylase Inhibition Restores Behavioral and Synaptic Function in a Mouse Model of 16p11.2 Deletion
Authors: Wang Wei , Tan Tao , Cao Qing , Zhang Freddy , Rein Benjamin , Duan Wei-Ming , Yan Zhen 
Published: July 2022

Abstract

Background
Microdeletion of the human 16p11.2 gene locus confers risk for autism spectrum disorders and intellectual disability. How 16p11.2 deletion is linked to these neurodevelopmental disorders and whether there are treatment avenues for the manifested phenotypes remain to be elucidated. Emerging evidence suggests that epigenetic aberrations are strongly implicated in autism.

Methods
We performed behavioral and electrophysiological experiments to examine the therapeutic effects of epigenetic drugs in transgenic mice carrying 16p11.2 deletion (16p11del/+).

Results
We found that 16p11del/+ mice exhibited a significantly reduced level of histone acetylation in the prefrontal cortex (PFC). A short (3-day) treatment with class I histone deacetylase (HDAC) inhibitor MS-275 or Romidepsin led to the prolonged (3–4 weeks) rescue of social and cognitive deficits in 16p11del/+ mice. Concomitantly, MS-275 treatment reversed the hypoactivity of PFC pyramidal neurons and the hyperactivity of PFC fast-spiking interneurons. Moreover, the diminished N-methyl-D-aspartate (NMDA) receptor-mediated synaptic currents and the elevated GABAA receptor-mediated synaptic currents in PFC pyramidal neurons of 16p11del/+ mice were restored to control levels by MS-275 treatment.

Conclusions
Our results suggest that HDAC inhibition provides a highly effective therapeutic strategy for behavioral deficits and excitation/inhibition imbalance in 16p11del/+ mice, likely via normalization of synaptic function in the PFC.
Viral Load Dynamics in SARS-CoV-2 Omicron Breakthrough Infections
Authors: Dewald Felix , Detmer Susanne , Pirkl Martin , Hellmich Martin , Heger Eva , Herrmann Maximilian , Lehmann Clara , Zweigner Janine , Klein Florian 
Published: July 2022

Abstract
To determine viral dynamics in Omicron breakthrough infections, we measured severe acute respiratory syndrome coronavirus 2 RNA in 206 double-vaccinated or boostered individuals. During the first 3 days following the onset of symptoms, viral loads were significantly higher (cycle threshold [Ct], 21.76) in vaccinated compared to boostered (Ct, 23.14) individuals (P = .029). However, by performing a longitudinal analysis on 32 individuals over 14 days, no difference in the viral load trajectory was observed between double-vaccinated and boostered patients. Our results indicate that booster immunization results in a reduction in detectable viral loads without significantly changing viral load dynamics over time.
Using a National Burn Registry to Develop a Model for Risk-Adjusted Length of Stay Benchmarking
Authors: Thompson Callie M , Phillips Matthew H , Bessey Palmer Q , Higginson Sara , Hoarle Kimberly , Hsu Naiwei , Phillips Bart , Weber Joan M , Weichmann-Murata Erica , Mandell Samuel P 
Published: July 2022

Abstract
Length of stay (LOS) is a frequently reported outcome after a burn injury. LOS benchmarking will benefit individual burn centers as a way to measure their performance and set expectations for patients. We sought to create a nationwide, risk-adjusted model to allow for LOS benchmarking based on the data from a national burn registry. Using data from the American Burn Association’s Burn Care Quality Platform, we queried admissions from 7/2015 to 6/2020 and identified 130,729 records reported by 103 centers. Using 22 predictor variables, comparisons of unpenalized linear regression and Gradient boosted (CatBoost) regressor models were performed by measuring the R2 and concordance correlation coefficient on the application of the model to the test dataset. The CatBoost model applied to the bootstrapped versions of the entire dataset was used to calculate O/E ratios for individual burn centers. Analyses were run on 3 cohorts: all patients, 10–20% TBSA, &gt;20% TBSA. The CatBoost model outperformed the linear regression model with a test R2 of 0.67 and CCC of 0.81 compared with the linear model with R2=0.50, CCC=0.68. The CatBoost was also less biased for higher and lower LOS durations. Gradient-boosted regression models provided greater model performance than traditional regression analysis. Using national burn data, we can predict LOS across contributing burn centers while accounting for patient and center characteristics, producing more meaningful O/E ratios. These models provide a risk-adjusted LOS benchmarking using a robust data source, the first of its kind, for burn centers.
The Legalization of Cannabis and the Question of Reparations
Authors: Koram Kojo 
Published: July 2022

ABSTRACT
This article surveys the dramatic sea change in the legal status of both the domestic and international cannabis trade over the past decade and asks whether legalization challenges or complements racial capitalism. As the changing status of prohibited drugs not only seeks to correct a historical wrong but also gives rise to a new, highly profitable cross-border commodities market, I analyse whether the variety of policies that are currently being implemented alongside cannabis legalization—from import restrictions to social equity licences—is sufficient to appease the demand for reparations by the communities who suffered the most through the past century of the ‘War on Drugs’. This ‘War on Drugs’ was both historically and structurally weighted towards the reinforcement of racial hierarchies. As it enters into its twilight, I find that an overview of both the international and domestic laws that are being passed in order to introduce a new age of legal, commercial cannabis threatens to lock in the racial inequalities of our global economy, rather than serve as a tool for the advancement of reparative racial justice.
TaGSNE, a WRKY transcription factor, overcomes the trade-off between grain size and grain number in common wheat and is associated with root development
Authors: Khan Nadia , Zhang Yanfei , Wang Jingyi , Li Yuying , Chen Xin , Yang Lili , Zhang Jie , Li Chaonan , Li Long , Ur Rehman Shoaib , Reynolds Matthew P , Zhang Lichao , Zhang Xueyong , Mao Xinguo , Jing Ruilian 
Published: July 2022

AbstractWheat is one of the world’s major staple food crops, and breeding for improvement of grain yield is a priority under the scenarios of climate change and population growth. WRKY transcription factors are multifaceted regulators in plant growth, development, and responses to environmental stimuli. In this study, we identify the WRKY gene TaGSNE (Grain Size and Number Enhancer) in common wheat, and find that it has relatively high expression in leaves and roots, and is induced by multiple abiotic stresses. Eleven single-nucleotide polymorphisms were identified in TaGSNE, forming two haplotypes in multiple germplasm collections, named as TaGSNE-Hap-1 and TaGSNE-Hap-2. In a range of different environments, TaGSNE-Hap-2 was significantly associated with increases in thousand-grain weight (TGW; 3.0%) and spikelet number per spike (4.1%), as well as with deeper roots (10.1%) and increased root dry weight (8.3%) at the mid-grain-filling stage, and these were confirmed in backcross introgression populations. Furthermore, transgenic rice lines overexpressing TaGSNE had larger panicles, more grains, increased grain size, and increased grain yield relative to the wild-type control. Analysis of geographic and temporal distributions revealed that TaGSNE-Hap-2 is positively selected in China and Pakistan, and TaGSNE-Hap-1 in Europe. Our findings demonstrate that TaGSNE overcomes the trade-off between TGW/grain size and grain number, leading us to conclude that these elite haplotypes and their functional markers could be utilized in marker-assisted selection for breeding high-yielding varieties.
Digital Humanities and disability: A systematic literature review of cultural accessibility for people with disability
Authors: Pirrone Maria , Centorrino Marco , Galletta Antonino , Sicari Christian , Villari Massimo 
Published: July 2022

AbstractIn recent times, Digital Humanities (DH), together with the discoveries of Information and Communications Technology, have enabled the rediscovery and usability of cultural content with the support of various technologies. However, it was found that not everyone is able to access web platforms or visit cultural sites easily. In particular, the epidemiological Covid-19 crisis has highlighted the retrograde state of culture in terms of accessibility and usability, conditioned by the physical and web browsing limitations that for years weighed on people with disabilities. Therefore, it was decided to investigate how DH might support the cultural accessibility of people with disabilities. In particular, it was decided to carry out a systematic review of the cultural innovations of DH together with a survey on disability and supporting technologies in order to present how to improve the quality of the cultural experience of such a target. This study proceeded with the research and selection of literature on the subject of DH and disability, with the selection, analysis, and correlation of the scientific works included. The reference time frame includes the works produced between 2018 and 2022 consulted on main databases such as Scopus and Web of Science (WoS), screened using the Preferred Reporting Items for Systematic reviews and Meta-Analyses Statement.
The effect of quasar redshift errors on Lyman-α forest correlation functions
Authors: Youles Samantha , Bautista Julian E , Font-Ribera Andreu , Bacon David , Rich James , Brooks David , Davis Tamara M , Dawson Kyle , de la Macorra Axel , Dhungana Govinda , Doel Peter , Fanning Kevin , Gaztañaga Enrique , Gontcho A Gontcho Satya , Gonzalez-Morales Alma X , Guy Julien , Honscheid Klaus , Iršič Vid , Kehoe Robert , Kirkby David , Kisner Theodore , Landriau Martin , Le Guillou Laurent , Levi Michael E , Martini Paul , Muñoz-Gutiérrez Andrea , Palanque-Delabrouille Nathalie , Pérez-Ràfols Ignasi , Poppett Claire , Ramírez-Pérez César , Schubnell Michael , Tarlé Gregory , Walther Michael 
Published: July 2022

ABSTRACT
Using synthetic Lyman-α forests from the Dark Energy Spectroscopic Instrument (DESI) survey, we present a study of the impact of errors in the estimation of quasar redshift on the Lyman-α correlation functions. Estimates of quasar redshift have large uncertainties of a few hundred km s−1 due to the broadness of the emission lines and the intrinsic shifts from other emission lines. We inject Gaussian random redshift errors into the mock quasar catalogues, and measure the auto-correlation and the Lyman-α-quasar cross-correlation functions. We find a smearing of the BAO feature in the radial direction, but changes in the peak position are negligible. However, we see a significant unphysical correlation for small separations transverse to the line of sight which increases with the amplitude of the redshift errors. We interpret this contamination as a result of the broadening of emission lines in the measured mean continuum, caused by quasar redshift errors, combined with the unrealistically strong clustering of the simulated quasars on small scales.
A quantum mechanical calculation of the CN radiative association
Authors: Zhang Shuai , Qin Zhi , Liu Linhua 
Published: July 2022

ABSTRACT
Radiative association of CN is investigated through the quantum mechanical method, including the cross sections and rate coefficients. The ab initio potential energy curves, transition dipole moments, and permanent dipole moments of CN are obtained by the internally contracted multireference configuration interaction method with Davidson correction and aug-cc-pwCV5Z-DK basis set. For the collision of the ground state C (3Pg) and N (4Su) atoms, except for the four previously studied processes including the A2Π → X2Σ+, X2Σ+ → A2Π, A2Π → A2Π, and X2Σ+ → X2Σ+ transitions, four other radiative association processes including b4Π → a4Σ+, a4Σ+ → b4Π, b4Π → b4Π, and a4Σ+ → a4Σ+ transitions are considered. We also considered the collision of the excited C (1Dg) and the ground N (4Su) atoms including the 24Π → 14Σ− process and the collision of the ground C (3Pg) and the excited N (2Du) atoms including 22Π → B2Σ+, 32Π → B2Σ+, and 42Π → B2Σ+ transitions. The temperature population factor is considered to describe the thermal population of the three different dissociation asymptotic energies. The results show that the contribution of the A2Π → X2Σ+ and b4Π → a4Σ+ transitions to the total rate coefficients is significant over the entire temperature range. While considering the collision of C and N involving excited states, the contribution of the 22Π → B2Σ+, 32Π → B2Σ+, and 42Π → B2Σ+ transitions to the total rate coefficients cannot be ignored at the temperature range larger than 10 000 K. Finally, the rate coefficients are fitted to an analytical function for astrochemical reaction modelling.
Chemical abundance of LINER galaxies – metallicity calibrations based on SDSS-IV MaNGA
Authors: Oliveira C B , Krabbe A C , Hernandez-Jimenez J A , Dors O L , Zinchenko I A , Hägele G F , Cardaci M V , Monteiro A F 
Published: July 2022

ABSTRACT
The ionizing source of low-ionization nuclear emission-line regions (LINERs) is uncertain. Because of this, an empirical relation to determine the chemical abundances of these objects has not been proposed. In this work, for the first time, we derived two semi-empirical calibrations based on photoionization models to estimate the oxygen abundance of LINERS as a function of the N2 and O3N2 emission-line intensity ratios. These relations were calibrated using oxygen abundance estimations obtained by comparing the observational emission-line ratios of 43 LINER galaxies (taken from the MaNGA survey) and grids of photoionization models built with the cloudy code assuming post-asymptotic giant branch stars with different temperatures. We found that the oxygen abundance of LINERs in our sample is in the $\rm 8.48 \: \lesssim \: 12+log(O/H) \: \lesssim 8.84$ range, with a mean value of $\rm 12+\log (O/H)=8.65$. We recommend the use of the N2 index to estimate the oxygen abundances of LINERs, since the calibration with this index presented a much smaller dispersion than the O3N2 index. In addition, the estimated metallicities are in good agreement with those derived by extrapolating the disc oxygen abundance gradients to the centre of the galaxies showing that the assumptions of the models are suitable for LINERs. We also obtained a calibration between the logarithm of the ionization parameter and the [O iii]/[O ii] emission-line ratio.
Reaching for the Edge I: probing the outskirts of massive galaxies with HSC, DECaLS, SDSS, and Dragonfly
Authors: Li Jiaxuan , Huang Song , Leauthaud Alexie , Moustakas John , Danieli Shany , Greene Jenny E , Abraham Roberto , Ardila Felipe , Kado-Fong Erin , Lokhorst Deborah , Lupton Robert , Price Paul 
Published: July 2022

ABSTRACT
The outer light (stellar haloes) of massive galaxies has recently emerged as a possible low scatter tracer of dark matter halo mass. To test the robustness of outer light measurements across different data sets, we compare the 1D azimuthally averaged surface brightness profiles of massive galaxies using four independent data sets: the Hyper Suprime-Cam survey (HSC), the Dark Energy Camera Legacy Survey (DECaLS), the Sloan Digital Sky Survey (SDSS), and the Dragonfly Wide Field Survey (Dragonfly). We test the sky subtraction and proposed corrections for HSC and DECaLS. For galaxies at z &lt; 0.05, Dragonfly has the best control of systematics, reaching surface brightness levels of μr ≈ 30 mag arcsec−2. At 0.19 &lt; z &lt; 0.50, HSC can reliably recover individual surface brightness profiles to μr ≈ 28.5 mag arcsec−2 (R = 100–150 kpc in semimajor axis). In a statistical sense, DECaLS agrees with HSC to R &gt; 200 kpc. DECaLS and HSC measurements of the stellar mass contained within 100 kpc agree within 0.05 dex. Finally, we use weak lensing to show that measurements of outer light with DECaLS at 0.19 &lt; z &lt; 0.50 show a similar promise as HSC as a low scatter proxy of halo mass. The tests and results from this paper represent an important step forward for accurate measurements of the outer light of massive galaxies and demonstrate that outer light measurements from DECam imaging will be a promising method for finding galaxy clusters.
Investigating star-formation activity towards the southern H ii region RCW 42
Authors: Kumar Vipin , Vig S , Veena V S , Mohan S , Ghosh S K , Tej A , Ojha D K 
Published: July 2022

ABSTRACT
The star-forming activity in the H ii region RCW 42 is investigated using multiple wavebands, from near-infrared to radio wavelengths. Located at a distance of 5.8 kpc, this southern region has a bolometric luminosity of 1.8 × 106 L⊙. The ionized gas emission has been imaged at low radio frequencies of 610 and 1280 MHz using the Giant Metrewave Radio Telescope, India, and shows a large expanse of the H ii region, spanning 20 × 15 pc2. The average electron number density in the region is estimated to be ∼70 cm−3, which suggests an average ionization fraction of the cloud to be 11 % . An extended green object EGO G274.0649-01.1460 and several young stellar objects have been identified in the region using data from the 2MASS and Spitzer surveys. The dust emission from the associated molecular cloud is probed using Herschel Space Telescope, which reveals the presence of five clumps, C1-C5, in this region. Two millimetre emission cores of masses 380 and 390 M⊙ towards the radio emission peak have been identified towards C1 from the ALMA map at 1.4 mm. The clumps are investigated for their evolutionary stages based on association with various star-formation tracers, and we find that all the clumps are in active/evolved stage.
Forecast of neutrino cosmology from the CSST photometric galaxy clustering and cosmic shear surveys
Authors: Lin Hengjie , Gong Yan , Chen Xuelei , Chan Kwan Chuen , Fan Zuhui , Zhan Hu 
Published: July 2022

ABSTRACT
China Space Station Telescope (CSST) is a forthcoming powerful Stage IV space-based optical survey equipment. It is expected to explore a number of important cosmological problems in extremely high precision. In this work, we focus on investigating the constraints on neutrino mass and other cosmological parameters under the model of cold dark matter with a constant equation of state of dark energy (wCDM), using the mock data from the CSST photometric galaxy clustering and cosmic shear surveys (i.e. 3 × 2 pt). The systematics from galaxy bias, photometric redshift uncertainties, intrinsic alignment, shear calibration, baryonic feedback, non-linear, and instrumental effects are also included in the analysis. We generate the mock data based on the COSMOS catalogue considering the instrumental and observational effects of the CSST, and make use of the Markov chain Monte Carlo method to perform the constraints. Comparing to the results from current similar measurements, we find that CSST 3 × 2 pt surveys can improve the constraints on the cosmological parameters by one order of magnitude at least. We can obtain an upper limit for the sum of neutrino mass Σmν ≲ 0.36 (0.56) eV at 68 per cent (95 per cent) confidence level (CL), and Σmν ≲ 0.23 (0.29) eV at 68 per cent (95 per cent) CL if we ignore the baryonic effect, which is comparable to the Planck results and much better than the current photometric surveys. This indicates that the CSST photometric surveys can provide stringent constraints on the neutrino mass and other cosmological parameters, and the results also can be further improved by including data from other kinds of CSST cosmological surveys.
Bayesian Phylogenetic Inference using Relaxed-clocks and the Multispecies Coalescent
Authors: Flouri Tomáš , Huang Jun , Jiao Xiyun , Kapli Paschalia , Rannala Bruce , Yang Ziheng 
Published: July 2022

Abstract
The multispecies coalescent (MSC) model accommodates both species divergences and within-species coalescent and provides a natural framework for phylogenetic analysis of genomic data when the gene trees vary across the genome. The MSC model implemented in the program bpp assumes a molecular clock and the Jukes–Cantor model, and is suitable for analyzing genomic data from closely related species. Here we extend our implementation to more general substitution models and relaxed clocks to allow the rate to vary among species. The MSC-with-relaxed-clock model allows the estimation of species divergence times and ancestral population sizes using genomic sequences sampled from contemporary species when the strict clock assumption is violated, and provides a simulation framework for evaluating species tree estimation methods. We conducted simulations and analyzed two real datasets to evaluate the utility of the new models. We confirm that the clock-JC model is adequate for inference of shallow trees with closely related species, but it is important to account for clock violation for distant species. Our simulation suggests that there is valuable phylogenetic information in the gene-tree branch lengths even if the molecular clock assumption is seriously violated, and the relaxed-clock models implemented in bpp are able to extract such information. Our Markov chain Monte Carlo algorithms suffer from mixing problems when used for species tree estimation under the relaxed clock and we discuss possible improvements. We conclude that the new models are currently most effective for estimating population parameters such as species divergence times when the species tree is fixed.