bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-classical light in a J

x
photonic lattice
Authors: Swain Manoranjan , Rai Amit 
Published: March 2021

Abstract
We report the study of non-classical light in a photonic lattice having a parabolic coupling distribution, also known as a J

x
photonic lattice. We focus on a two-photon Fock state, a two-photon N00N state, a single-mode squeezed state and a coherent state as inputs to the lattice. We investigate the possibility of a perfect transfer of the mean photon number as well as the quantum state from one waveguide mode to another. We study photon–photon correlation for the two-photon N00N state. For the single-mode squeezed state we perform a detailed study of the evolution of the squeezing factor and entanglement between the waveguide modes. Our findings suggest a perfect transfer of the average photon number in all cases and a perfect transfer of the quantum state in the cases of the two-photon Fock state and the two-photon N00N state only, but not in the cases of the squeezed and coherent states. Our results should have applications in the physical implementation of photonic continuous-variable quantum-information processing.
A hydroclimatic model for the distribution of fire on Earth
Authors: Boer Matthias M , De Dios Víctor Resco , Stefaniak Elisa Z , Bradstock Ross A 
Published: March 2021

Abstract
The distribution of fire on Earth has been monitored from space for several decades, yet the geography of global fire regimes has proven difficult to reproduce from interactions of climate, vegetation, terrain, land use and other human activities by empirical and process-based fire models. Here, we propose a simple, yet robust, model for the global distribution of fire potential based on fundamental biophysical constraints controlling fire activity in all biomes. In our ‘top-down’ approach we ignored the dynamics of individual fires and focus on capturing hydroclimatic constraints on the production and (seasonal) desiccation of fuels to predict the potential mean annual fractional burned area at 0.25° spatial resolution, here estimated by the 0.99 quantile of the observed mean annual fractional burned area (

F

0.99

) over the 1995-2016 period of the Global Fire Emissions Database (GFED4). We show that 80% of the global variation in

F

0.99

can be explained from a combination of mean annual precipitation and potential evapotranspiration. The proposed hydroclimatic model reproduced observed 0.99 quantile fire activity levels equally well across all biomes and provided the first objective underpinning for the dichotomy of global fire regimes in two domains characterised by either fuel production limitations on fire or fuel dryness limitations on fire. A sharp transition between the two climate-fire domains was found to occur at a mean annual aridity index of 1.9 (1.94 ± 0.02). Our model provides a simple but comprehensive basis for predicting fire potential under current and future climates, as well as an overarching framework for estimating effects of human activity via ignition regimes and manipulation of vegetation.
Association between mobile phone use in young children and caregiver-rated health
Authors: Kojimahara Noriko , Matsushita Mariko , Sato Yasuto 
Published: March 2021

Abstract
The association between mobile phone or tablet use and children’s health remains unclear. The main aim of this study was to examine whether caregiver-rated health and children’s mental disorders were related to their mobile phone use. We conducted a multistage sampling Internet survey of 1535 caregivers living with children aged 0–14 years in Japan. Using this cross-sectional data, multiple regression models were used to test for relationships among factors related to mobile phone use, caregiver-rated child health, and mental disorders. Total mobile phone use time was related to age, number of siblings, availability of Wi-Fi at home, and the child’s ownership of a mobile phone. Age and availability of Wi-Fi at home were positively related to tablet use, but neither the number of siblings nor the child’s ownership of a tablet were related to tablet use. In addition, we examined that tablet use (Odds ratio 0.62, 95% CI 0.39–1.00) and Wi-Fi use (Odds ratio 0.66, 95% CI 0.47–0.93) were related to low caregiver-rated child health among preschool students. It was newly pointed out that tablet and Wi-Fi use were related to low caregiver-rated child health among preschool students. As young children are likely to be exposed to internet for the purpose of babysitting, this study suggested that parents should be aware of mental influence for tablets and Wi-Fi use.
Hippocampal atrophy is associated with psychotic symptom severity following traumatic brain injury
Authors: Bray Michael J C , Sharma Bhanu , Cottrelle's Julia , Peters Matthew E , Bayley Mark , Green Robin E A 
Published: March 2021

Abstract
Psychosis is a rare, but particularly serious sequela of traumatic brain injury. However, little is known as to the neurobiological processes that may contribute to its onset. Early evidence suggests that psychotic symptom development after traumatic brain injury may co-occur with hippocampal degeneration, invoking the possibility of a relationship. Particularly regarding the hippocampal head, these degenerative changes may lead to dysregulation in dopaminergic circuits, as is reported in psychoses due to schizophrenia, resulting in the positive symptom profile typically seen in post-injury psychosis. The objective of this study was to examine change in hippocampal volume and psychotic symptoms across time in a sample of moderate-to-severe traumatic brain injury patients. We hypothesized that hippocampal volume loss would be associated with increased psychotic symptom severity. From a database of n = 137 adult patients with prospectively collected, longitudinal imaging and neuropsychiatric outcomes, n = 24 had complete data at time points of interest (5 and 12 months post-traumatic brain injury) and showed increasing psychotic symptom severity on the Personality Assessment Inventory psychotic experiences subscale of the schizophrenia clinical scale across time. Secondary analysis employing stepwise regression with hippocampal volume change (independent variable) and Personality Assessment Inventory psychotic symptom change (dependent variable) from 5 to 12 months post-injury was conducted including age, sex, marijuana use, family history of schizophrenia, years of education and injury severity as control variables. Total right hippocampal volume loss predicted an increase in the Personality Assessment Inventory psychotic experiences subscale (F(1, 22) = 5.396, adjusted R2 = 0.161, P = 0.030; β = −0.017, 95% confidence interval = −0.018, −0.016) as did volume of the right hippocampal head (F(1, 22) = 5.764, adjusted R2 = 0.172, P = 0.025; β = −0.019, 95% confidence interval = −0.021, −0.017). Final model goodness-of-fit was confirmed using k-fold (k = 5) cross-validation. Consistent with our hypotheses, the current findings suggest that hippocampal degeneration in the chronic stages of moderate-to-severe traumatic brain injury may play a role in the delayed onset of psychotic symptoms after traumatic brain injury. These findings localized to the right hippocampal head are supportive of a proposed aetiological mechanism whereby atrophy of the hippocampal head may lead to the dysregulation of dopaminergic networks following traumatic brain injury; possibly accounting for observed clinical features of psychotic disorder after traumatic brain injury (including prolonged latency period to symptom onset and predominance of positive symptoms). If further validated, these findings may bear important clinical implications for neurorehabilitative therapies following traumatic brain injury.
Randomized Trial of Ruxolitinib in Antiretroviral-Treated Adults With Human Immunodeficiency Virus
Authors: Marconi Vincent C , Moser Carlee , Gavegnano Christina , Deeks Steven G , Lederman Michael M , Overton Edgar T , Tsibris Athe , Hunt Peter W , Kantor Amy , Sekaly Rafick-Pierre , Tressler Randall , Flexner Charles , Hurwitz Selwyn J , Moisi Daniela , Clagett Brian , Hardin William R , del Rio Carlos , Schinazi Raymond F , Lennox Jeffrey J 
Published: March 2021

Abstract

Background
Inflammation is associated with end-organ disease and mortality for people with human immunodeficiency virus (PWH). Ruxolitinib, a Jak 1/2 inhibitor, reduces systemic inflammation for individuals without human immunodeficiency virus (HIV) and HIV reservoir markers ex vivo. The goal of this trial was to determine safety and efficacy of ruxolitinib for PWH on antiretroviral therapy (ART).

Methods
AIDS Clinical Trials Group (ACTG) A5336 was an open-label, multisite, randomized controlled trial (RCT). Participants were randomly assigned (2:1) using centralized software to ruxolitinib (10 mg twice daily) plus stable ART for 5 weeks vs ART alone, stratified by efavirenz use. Eligible participants were suppressed on ART for ≥2 years, without comorbidities, and had &gt;350 CD4+ T cells/µL. Primary endpoints were premature discontinuation, safety events, and change in plasma interleukin 6 (IL-6). Secondary endpoints included other measures of inflammation/immune activation and HIV reservoir.

Results
Sixty participants were enrolled from 16 May 2016 to 10 January 2018. Primary safety events occurred in 2.5% (1 participant) for ruxolitinib and 0% for controls (P = .67). Three participants (7.5%) prematurely discontinued ruxolitinib. By week 5, differences in IL-6 (mean fold change [FC], 0.93 vs 1.10; P = .18) and soluble CD14 (mean FC, 0.96 vs 1.08; relative FC, 0.96 [90% confidence interval {CI}, .90–1.02]) levels for ruxolitinib vs controls was observed. Ruxolitinib reduced CD4+ T cells expressing HLA-DR/CD38 (mean difference, –0.34% [90% CI, –.66% to –.12%]) and Bcl-2 (mean difference, –3.30% [90% CI, –4.72% to –1.87%]).

Conclusions
In this RCT of healthy, virologically suppressed PWH on ART, ruxolitinib was well-tolerated. Baseline IL-6 levels were normal and showed no significant reduction. Ruxolitinib significantly decreased markers of immune activation and cell survival. Future studies of Jak inhibitors should target PWH with residual inflammation despite suppressive ART.

Clinical Trials Registration
NCT02475655.
Electrocardiogram screening for aortic valve stenosis using artificial intelligence
Authors: Cohen-Shelly Michal , Attia Zachi I , Friedman Paul A , Ito Saki , Essayagh Benjamin A , Ko Wei-Yin , Murphree Dennis H , Michelena Hector I , Enriquez-Sarano Maurice , Carter Rickey E , Johnson Patrick W , Noseworthy Peter A , Lopez-Jimenez Francisco , Oh Jae K 
Published: March 2021

Abstract

Aims
Early detection of aortic stenosis (AS) is becoming increasingly important with a better outcome after aortic valve replacement in asymptomatic severe AS patients and a poor outcome in moderate AS. We aimed to develop artificial intelligence-enabled electrocardiogram (AI-ECG) using a convolutional neural network to identify patients with moderate to severe AS.

Methods and results
Between 1989 and 2019, 258 607 adults [mean age 63 ± 16.3 years; women 122 790 (48%)] with an echocardiography and an ECG performed within 180 days were identified from the Mayo Clinic database. Moderate to severe AS by echocardiography was present in 9723 (3.7%) patients. Artificial intelligence training was performed in 129 788 (50%), validation in 25 893 (10%), and testing in 102 926 (40%) randomly selected subjects. In the test group, the AI-ECG labelled 3833 (3.7%) patients as positive with the area under the curve (AUC) of 0.85. The sensitivity, specificity, and accuracy were 78%, 74%, and 74%, respectively. The sensitivity increased and the specificity decreased as age increased. Women had lower sensitivity but higher specificity compared with men at any age groups. The model performance increased when age and sex were added to the model (AUC 0.87), which further increased to 0.90 in patients without hypertension. Patients with false-positive AI-ECGs had twice the risk for developing moderate or severe AS in 15 years compared with true negative AI-ECGs (hazard ratio 2.18, 95% confidence interval 1.90–2.50).

Conclusion
An AI-ECG can identify patients with moderate or severe AS and may serve as a powerful screening tool for AS in the community.
Explaining socioeconomic disparities and gaps in the use of antenatal care services in 36 countries in sub-Saharan Africa
Authors: Obse Amarech G , Ataguba John E 
Published: March 2021

Abstract
Significant maternal and child deaths occur in sub-Saharan Africa (SSA) even with existing effective interventions. Antenatal care (ANC), for example, is an intervention that improves the health of pregnant women and their babies, but only 52% of pregnant women in SSA had the recommended minimum of four ANC visits between 2011 and 2016. While significant socioeconomic inequalities in ANC visits have been reported to the disadvantage of the poor, little is known about the depth of ANC coverage and associated inequalities. This paper introduces ‘deficits’ (i.e. the number of ANC visits that are needed to reach the recommended minimum of four ANC visits) and ‘surpluses’ (i.e. the number of ANC visits over and above the recommended minimum of four ANC visits) to assess socioeconomic inequalities in the indicator and depth of the ‘deficits’ and ‘surpluses’ in ANC visits. Using the latest available Demographic and Health Survey data for 36 SSA countries and concentration indices, the paper found that ‘deficits’ in ANC visits are more prevalent among poorer women compared to ‘surpluses’ that are concentrated among the rich. On average, women with ‘deficits’ in ANC visits require about two more ANC visits to reach the recommended four ANC visits, and women with ‘surpluses’ exceeded the recommended minimum by about two ANC visits. The factors that explain a substantial share of the socioeconomic inequalities in ANC ‘deficits’ and ‘surpluses’ in SSA include wealth, education and area of residency, which are essentially the social determinants of health inequalities. For policy response, it is suggested that education is a significant channel to affect the other social determinants of inequalities in ANC coverage reported in the paper. Thus, countries must prioritize quality education as addressing education, especially among women in SSA, will significantly reduce disparities in ANC service utilization and accelerate progress towards universal health coverage.
Auxin signaling and vascular cambium formation enable storage metabolism in cassava tuberous roots
Authors: Rüscher David , Corral José María , Carluccio Anna Vittoria , Klemens Patrick A W , Gisel Andreas , Stavolone Livia , Neuhaus H Ekkehard , Ludewig Frank , Sonnewald Uwe , Zierer Wolfgang 
Published: March 2021

AbstractCassava storage roots are among the most important root crops worldwide, and represent one of the most consumed staple foods in sub-Saharan Africa. The vegetatively propagated tropical shrub can form many starchy tuberous roots from its stem. These storage roots are formed through the activation of secondary root growth processes. However, the underlying genetic regulation of storage root development is largely unknown. Here we report distinct structural and transcriptional changes occurring during the early phases of storage root development. A pronounced increase in auxin-related transcripts and the transcriptional activation of secondary growth factors, as well as a decrease in gibberellin-related transcripts were observed during the early stages of secondary root growth. This was accompanied by increased cell wall biosynthesis, most notably increased during the initial xylem expansion within the root vasculature. Starch storage metabolism was activated only after the formation of the vascular cambium. The formation of non-lignified xylem parenchyma cells and the activation of starch storage metabolism coincided with increased expression of the KNOX/BEL genes KNAT1, PENNYWISE, and POUND-FOOLISH, indicating their importance for proper xylem parenchyma function.
Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning
Authors: Turner Sebastian , Siudek Malgorzata , Salim Samir , Baldry Ivan K , Pollo Agnieszka , Longmore Steven N , Malek Katarzyna , Collins Chris A , Lisboa Paulo J , Krywult Janusz , Moutard Thibaud , Vergani Daniela , Fritz Alexander 
Published: March 2021

ABSTRACT
The colour bimodality of galaxies provides an empirical basis for theories of galaxy evolution. However, the balance of processes that begets this bimodality has not yet been constrained. A more detailed view of the galaxy population is needed, which we achieve in this paper by using unsupervised machine learning to combine multidimensional data at two different epochs. We aim to understand the cosmic evolution of galaxy subpopulations by uncovering substructures within the colour bimodality. We choose a clustering algorithm that models clusters using only the most discriminative data available, and apply it to two galaxy samples: one from the second edition of the GALEX-SDSS-WISE Legacy Catalogue (GSWLC-2; z ∼ 0.06), and the other from the VIMOS Public Extragalactic Redshift Survey (VIPERS; z ∼ 0.65). We cluster within a nine-dimensional feature space defined purely by rest-frame ultraviolet-through-near-infrared colours. Both samples are similarly partitioned into seven clusters, breaking down into four of mostly star-forming galaxies (including the vast majority of green valley galaxies) and three of mostly passive galaxies. The separation between these two families of clusters suggests differences in the evolution of their galaxies, and that these differences are strongly expressed in their colours alone. The samples are closely related, with star-forming/green-valley clusters at both epochs forming morphological sequences, capturing the gradual internally driven growth of galaxy bulges. At high stellar masses, this growth is linked with quenching. However, it is only in our low-redshift sample that additional, environmental processes appear to be involved in the evolution of low-mass passive galaxies.
MUSE analysis of gas around galaxies (MAGG) – III. The gas and galaxy environment of z = 3–4.5 quasars
Authors: Fossati M , Fumagalli M , Lofthouse E K , Dutta R , Cantalupo S , Arrigoni Battaia F , Fynbo J P U , Lusso E , Murphy M T , Prochaska J X , Theuns T , Cooke R J 
Published: March 2021

ABSTRACT
We present a study of the environment of 27 z = 3–4.5 bright quasars from the MUSE Analysis of Gas around Galaxies (MAGG) survey. With medium-depth Multi Unit Spectroscopic Explorer (MUSE) observations (4 h on target per field), we characterize the effects of quasars on their surroundings by studying simultaneously the properties of extended gas nebulae and Ly α emitters (LAEs) in the quasar host haloes. We detect extended (up to ≈100 kpc) Ly α emission around all MAGG quasars, finding a very weak redshift evolution between z = 3 and z = 6. By stacking the MUSE datacubes, we confidently detect extended emission of C iv and only marginally detect extended He ii up to ≈40 kpc, implying that the gas is metal enriched. Moreover, our observations show a significant overdensity of LAEs within 300 $\rm km~s^{-1}$ from the quasar systemic redshifts estimated from the nebular emission. The luminosity functions and equivalent width distributions of these LAEs show similar shapes with respect to LAEs away from quasars suggesting that the Ly α emission of the majority of these sources is not significantly boosted by the quasar radiation or other processes related to the quasar environment. Within this framework, the observed LAE overdensities and our kinematic measurements imply that bright quasars at z = 3–4.5 are hosted by haloes in the mass range $\approx 10^{12.0}\small{--}10^{12.5}~\rm M_\odot$.
Untangling the crosstalk between BRCA1 and R-loops during DNA repair
Authors: San Martin Alonso Marta , Noordermeer Sylvie M 
Published: March 2021

AbstractR-loops are RNA:DNA hybrids assembled during biological processes but are also linked to genetic instability when formed out of their natural context. Emerging evidence suggests that the repair of DNA double-strand breaks requires the formation of a transient R-loop, which eventually must be removed to guarantee a correct repair process. The multifaceted BRCA1 protein has been shown to be recruited at this specific break-induced R-loop, and it facilitates mechanisms in order to regulate R-loop removal. In this review, we discuss the different potential roles of BRCA1 in R-loop homeostasis during DNA repair and how these processes ensure faithful DSB repair.
MKK4-MPK3-WRKY17-mediated salicylic acid degradation increases susceptibility to Glomerella leaf spot in apple
Authors: Shan Dongqian , Wang Chanyu , Zheng Xiaodong , Hu Zehui , Zhu Yunpeng , Zhao Yu , Jiang Awei , Zhang Haixia , Shi Kun , Bai Yixue , Yan Tianci , Wang Lin , Sun Yanzhao , Li Jianfang , Zhou Zhaoyang , Guo Yan , Kong Jin 
Published: March 2021

Abstract
Glomerella leaf spot (GLS), a fungal disease caused by Colletotrichum fructicola, severely affects apple quality and yield, yet few resistance genes have been identified in apple (Malus domestica Borkh.). Here we found a transcription factor MdWRKY17 significantly induced by C. fructicola infection in the susceptible apple cultivar “Gala.” MdWRKY17 overexpressing transgenic “Gala” plants exhibited increased susceptibility to C. fructicola, whereas MdWRKY17 RNA-interference plants showed opposite phenotypes, indicating MdWRKY17 acts as a plant susceptibility factor during C. fructicola infection. Furthermore, MdWRKY17 directly bound to the promoter of the salicylic acid (SA) degradation gene Downy Mildew Resistant 6 (MdDMR6) and promoted its expression, resulting in reduced resistance to C. fructicola. Additionally, Mitogen-activated protein kinase (MAPK) 3 (MdMPK3) directly interacted with and phosphorylated MdWRKY17. Importantly, predicted phosphorylation residues in MdWRKY17 by MAPK kinase 4 (MdMEK4)-MdMPK3 were critical for the activity of MdWRKY17 to regulate MdDMR6 expression. In the six susceptible germplasms, MdWRKY17 levels were significantly higher than the six tolerant germplasms after infection, which corresponded with lower SA content, confirming the critical role of MdWRKY17-mediated SA degradation in GLS tolerance. Our study reveals a rapid regulatory mechanism of MdWRKY17, which is essential for SA degradation and GLS susceptibility, paving the way to generate GLS resistant apple.