bluuebunny/crossref_metadata_2025 huggingface dataset:
Which criteria should we use to end isolation in hemodialysis patients with COVID-19?
Authors: Alfano Gaetano , Fontana Francesco , Ferrari Annachiara , Morisi Niccolò , Gregorini Mariacristina , Cappelli Gianni , Magistroni Riccardo , Guaraldi Giovanni , Donati Gabriele
Published: April 2022

Safe and timely discontinuation of quarantine of in-center hemodialysis (HD) patients with a previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a challenging issue for the nephrological community because current guidelines for ending isolation do not mention dialysis patients. To prevent potentially fatal outbreaks of coronavirus disease 2019 (COVID-19), a cautionary approach has been adopted by most dialysis units. The criteria for ending the isolation in the HD population generally coincide with those recommended for immunocompromised people. Thus, a test-based strategy relying on two consecutive negative reverse transcriptase-polymerase chain reaction (RT-PCR) nasopharyngeal swabs has been adopted to terminate quarantine. This strategy has the disadvantage of prolonging isolation as RT-PCR positivity does not equate to SARS-CoV-2 infectivity. Consequentially, prolonged positivity of SARS-CoV-2 results in excessive workload for the HD staff who must face an increasing number of COVID-19 patients requiring isolation. This condition leads also to serious implications for the patients and their households including work productivity loss, postponement of health-care appointments and an increased risk of COVID-19 reinfection. To counteract this problem, other diagnostic tests should be used to provide the best care to HD patients. Recent results seem to encourage the use of RT-PCR cycle threshold (Ct) values and rapid antigen tests given their better correlation with cell culture for SARS-CoV-2 than RT-PCR testing. Here, we provide an overview of the current scientific evidence on the tests used to verify the infectiousness of the virus in order to stimulate the nephrological community to adopt a streamlined and pragmatic procedure to end isolation in COVID-19 patients on HD.
Multiplex Fragment Analysis for Flexible Detection of All SARS-CoV-2 Variants of Concern
Authors: Clark Andrew E , Wang Zhaohui , Ostman Emily , Zheng Hui , Yao Huiyu , Cantarel Brandi , Kanchwala Mohammed , Xing Chao , Chen Li , Irwin Pei , Xu Yan , Oliver Dwight , Lee Francesca M , Gagan Jeffrey R , Filkins Laura , Muthukumar Alagarraju , Park Jason Y , Sarode Ravi , SoRelle Jeffrey A
Published: April 2022

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge, and effective tracking requires rapid return of results. Surveillance of variants is typically performed by whole genome sequencing (WGS), which can be financially prohibitive and requires specialized equipment and bioinformatic expertise. Genotyping approaches are rapid methods for monitoring SARS-CoV-2 variants but require continuous adaptation. Fragment analysis may represent an approach for improved SARS-CoV-2 variant detection.

Methods

A multiplex fragment analysis approach (CoVarScan) was validated using PCR targeting variants by size and fluorescent color. Eight SARS-CoV-2 mutational hot spots in variants of concern (VOCs) were targeted. Three primer pairs (recurrently deleted region [RDR] 1, RDR2, and RDR3–4) flank RDRs in the S-gene. Three allele-specific primers target recurrent spike receptor binding domain mutants. Lastly, 2 primer pairs target recurrent deletions or insertions in ORF1A and ORF8. Fragments were resolved and analyzed by capillary electrophoresis (ABI 3730XL), and mutational signatures were compared to WGS results.

Results

We validated CoVarScan using 3544 clinical respiratory specimens. The assay exhibited 96% sensitivity and 99% specificity compared to WGS. The limit of detection for the core targets (RDR1, RDR2, and ORF1A) was 5 copies/reaction. Variants were identified in 95% of samples with cycle threshold (CT) <30 and 75% of samples with a CT 34 to 35. Assay design was frozen April 2021, but all subsequent VOCs have been detected including Delta (n = 2820), Mu, (n = 6), Lambda (n = 6), and Omicron (n = 309). Genotyping results are available in as little as 4 h.

Conclusions

Multiplex fragment analysis is adaptable and rapid and has similar accuracy to WGS to classify SARS-CoV-2 variants.
Trend and factors associated with multiple arterial revascularization in coronary artery bypass grafting in the UK
Authors: Chan Jeremy , Dimagli Arnaldo , Dong Tim , Fudulu Daniel P , Sinha Shubhra , Angelini Gianni D
Published: April 2022

OBJECTIVES

Benefits of using multiple arterial grafting (MAG), over single arterial grafting in major adverse cardiac event rates and the need for repeat revascularization, have been widely reported. Several guidelines have recommended the use of MAG in selected patients. We report the trend of MAG in patients undergoing isolated coronary artery bypass grafting (CABG) in the UK.

METHODS

This is a retrospective analysis of a prospectively collected UK national database in patients undergoing non-emergency, isolated CABG from 1996 to 2018. Patients were divided into single arterial grafting and MAG, and trends in perioperative characteristics were analysed.

RESULTS

A total of 336 321 patients were included, of whom 284 003 (84.44%) received single arterial grafting and 52 318 (15.56%) received MAG. The use of MAG after an initial increase from 1996 to 2001, steadily decreased thereafter, particularly in the use of radial artery. MAG was likely to be performed in younger patients [66.72 (standard deviation: 9.22) vs 62.30 (standard deviation: 10.06), P < 0.001] and males (85% vs 81%, P < 0.001). After propensity score matching, the single arterial grafting group was more likely to undergo on-pump CABG (90% vs 69%, P < 0.001), experienced a lower in-hospital mortality (1.1% vs 1.3%, P < 0.001) and incidence of return to theatre for bleeding (2.5% vs 3.0%, P < 0.001).

CONCLUSIONS

Our data show that the use of MAG in CABG in the UK after an initial increase from 1996 to 2001 steadily decreased thereafter until 2018. This is likely to be multifactorial and a better understanding of the main causes may contribute to establishing the best indication for MAG in everyday clinical practice.
Surgical aortic valve replacement in patients aged 50–69 years—insights from the German Aortic Valve Registry (GARY)
Authors: Vogt Ferdinand , Santarpino Giuseppe , Fujita Buntaro , Frerker Christian , Bauer Timm , Beckmann Andreas , Bekeredjian Raffi , Bleiziffer Sabine , Möllmann Helge , Walther Thomas , Beyersdorf Friedhelm , Hamm Christian , Böning Andreas , Baldus Stephan , Ensminger Stephan , Fischlein Theodor , Eckner Dennis ,   the GARY Executive Board, Möllmann Helge , Walther Thomas , Beyersdorf Friedhelm , Hamm Christian , Ensminger Stephan
Published: April 2022

OBJECTIVES

The aim of this study was to analyse the outcome of patients between 50 and 69 years of age undergoing biological or mechanical aortic valve replacement.

METHODS

Data were collected from the German Aortic Valve Registry. Data were analysed regarding baseline characteristics and outcome parameters such as 5-year survival, stroke and reintervention.

RESULTS

In total,

 

3046 patients undergoing isolated surgical aortic valve replacement between 2011 and 2012 were investigated and a propensity score matching was performed. Within this period, 2239 patients received a biological prostheses, while 807 patients received a mechanical prosthesis. Mean age in the biological group was 63.07 (±5.11) and 57.34 (±4.67) in the mechanical group (standardized mean difference 1.172). In the overall cohort, there were more female patients in the biological group (32.7% vs 28.4%) and log EuroSCORE I was higher (5.41% vs 4.26%). After propensity matching (610 pairs), there was no difference in the mortality at 5-year follow-up (12.1% biological vs 9.2% mechanical P = 0.05) nor for reoperation/reintervention (2.5% biological vs 2.0% mechanical, P = 0.546). Patients undergoing mechanical aortic valve replacement suffered from a higher stroke rate 3.3% vs 1.5% (P = 0.04) at 5-year follow-up.

CONCLUSIONS

Aortic valve replacement with biological or mechanical prostheses showed similar 5-year outcomes for survival and reoperation in a propensity-matched cohort, but significantly increased stroke rate after mechanical aortic valve replacement. This could influence the choice of a mechanical valve in younger patients.
Staging right heart failure in patients with tricuspid regurgitation undergoing tricuspid surgery
Authors: Galloo Xavier , Stassen Jan , Butcher Steele C , Meucci Maria Chiara , Dietz Marlieke F , Mertens Bart J A , Prihadi Edgard A , van der Bijl Pieter , Ajmone Marsan Nina , Braun Jerry , Bax Jeroen J , Delgado Victoria
Published: April 2022

OBJECTIVES

This study evaluated the prognostic value of staging right heart failure in patients with significant tricuspid regurgitation (TR) undergoing tricuspid valve (TV) surgery.

METHODS

Patients with significant TR who underwent TV surgery were divided into 4 right heart failure stages according to the presence of right ventricular (RV) dysfunction and clinical signs of right heart failure: stage 1 was defined as no RV dysfunction and no signs of right heart failure; stage 2 indicated RV dysfunction without signs of right heart failure; stage 3 included RV dysfunction and signs of right heart failure; and stage 4 was defined as RV dysfunction and refractory signs of right heart failure at rest.

RESULTS

A total of 278 patients [mean age 64 (12), 49% males] were included, of whom 34 (12%) patients were classified as stages 1 and 2, 141 (51%) as stage 3 and 103 (37%) as stage 4 right heart failure. The majority of patients (91%) had TV surgery concomitant to left-sided valve surgery or coronary artery bypass grafting and 95% underwent TV annuloplasty. Cumulative survival rates were 89%, 78% and 61% at 1 month, 1 year and 5 years, respectively. Stages 1 and 2 and stage 3 were independently associated with better survival compared to stage 4 (hazard ratio: 0.391 [95% confidence interval: 0.186–0.823] and 0.548 [95% confidence interval: 0.369–0.813], respectively).

CONCLUSIONS

Patients with significant TR undergoing TV surgery and diagnosed without advanced right heart failure have better survival as compared to patients with right heart failure.
Safety profile of intravenous administration of livePichia pastoriscells in mice
Authors: Becerril-García Miguel Á , Flores-Maldonado Orlando E , González Gloria M , García-González Gerardo , Hernández-Bello Romel , Palma-Nicolás José P
Published: April 2022

Pichia pastoris has been widely used to produce antigenic proteins aimed to integrate subunit vaccines. Moreover, increasing interest in large-scale vaccine production at the lowest cost is rapidly focusing in the development of yeast surface display (YSD) systems for delivery of antigens. In this scenario, the safety of live yeast administration must be warranted, however, such information is very scarce. Here, we assess the intravenous administration (i.v.) of live P. pastoris cells in order to trace dissemination in BALB/c mice and to evaluate the immune response raised against the yeast compared to the well-defined pathogen Candida albicans. Our results demonstrate dissemination of P. pastoris to the heart, kidney, and spleen, but it is quickly eliminated during the first 48 h postinfection (hpi), with persistence in the liver along with mild mononuclear (MN) and polymorphonuclear (PMN) infiltrate, which was resolved at 144 hpi. In vivo delayed-type hypersensitivity test (DTH) or in vitro antigenic stimulation of mice splenocytes demonstrate that transient infection of P. pastoris did not induce a cell-mediated immune response nor increase the level of circulating IgG or IgM. These results demonstrate the innocuous profile of P. pastoris and support its use as a safe delivery system for vaccine development.
An empirical evaluation of genotype imputation of ancient DNA
Authors: Ausmees Kristiina , Sanchez-Quinto Federico , Jakobsson Mattias , Nettelblad Carl
Published: April 2022

With capabilities of sequencing ancient DNA to high coverage often limited by sample quality or cost, imputation of missing genotypes presents a possibility to increase the power of inference as well as cost-effectiveness for the analysis of ancient data. However, the high degree of uncertainty often associated with ancient DNA poses several methodological challenges, and performance of imputation methods in this context has not been fully explored. To gain further insights, we performed a systematic evaluation of imputation of ancient data using Beagle v4.0 and reference data from phase 3 of the 1000 Genomes project, investigating the effects of coverage, phased reference, and study sample size. Making use of five ancient individuals with high-coverage data available, we evaluated imputed data for accuracy, reference bias, and genetic affinities as captured by principal component analysis. We obtained genotype concordance levels of over 99% for data with 1× coverage, and similar levels of accuracy and reference bias at levels as low as 0.75×. Our findings suggest that using imputed data can be a realistic option for various population genetic analyses even for data in coverage ranges below 1×. We also show that a large and varied phased reference panel as well as the inclusion of low- to moderate-coverage ancient individuals in the study sample can increase imputation performance, particularly for rare alleles. In-depth analysis of imputed data with respect to genetic variants and allele frequencies gave further insight into the nature of errors arising during imputation, and can provide practical guidelines for postprocessing and validation prior to downstream analysis.
The L-shaped selection algorithm for multitrait genomic selection
Authors: Amini Fatemeh , Hu Guiping , Wang Lizhi , Wu Ruoyu
Published: April 2022

Selecting for multiple traits as opposed to a single trait has become increasingly important in genomic selection. As one of the most popular approaches to multitrait genomic selection, index selection uses a weighted average of all traits as a single breeding objective. Although intuitive and effective, index selection is not only numerically sensitive but also structurally incapable of finding certain optimal breeding parents. This paper proposes a new selection method for multitrait genomic selection, the L-shaped selection, which addresses the limitations of index selection by normalizing the trait values and using an L-shaped objective function to find optimal breeding parents. This algorithm has been proven to be able to find any Pareto optimal solution with appropriate weights. Two performance metrics have also been defined to quantify multitrait genomic selection algorithms with respect to their ability to accelerate genetic gain and preserve genetic diversity. Computational experiments were conducted to demonstrate the improved performance of L-shaped selection over-index selection.
Lessons learned about the biology and genomics of Diaphorina citri infection with “Candidatus Liberibacter asiaticus” by integrating new and archived organ-specific transcriptome data
Authors: Mann Marina , Saha Surya , Cicero Joseph M , Pitino Marco , Moulton Kathy , Hunter Wayne B , Cano Liliana M , Mueller Lukas A , Heck Michelle
Published: April 2022

Background

Huanglongbing, a devastating disease of citrus, is caused by the obligate, intracellular bacterium “Candidatus Liberibacter asiaticus” (CLas). CLas is transmitted by Diaphorina citri, the Asian citrus psyllid. Development of transmission-blocking strategies to manage huanglongbing relies on knowledge of CLas and D. citri interactions at the molecular level. Prior transcriptome analyses of D. citri point to changes in psyllid biology due to CLas infection but have been hampered by incomplete versions of the D. citri genome, proper host plant controls, and/or a lack of a uniform data analysis approach. In this work, we present lessons learned from a quantitative transcriptome analysis of excised heads, salivary glands, midguts, and bacteriomes from CLas-positive and CLas-negative D. citri using the chromosomal length D. citri genome assembly.

Results

Each organ had a unique transcriptome profile and response to CLas infection. Though most psyllids were infected with the bacterium, CLas-derived transcripts were not detected in all organs. By analyzing the midgut dataset using both the Diaci_v1.1 and v3.0 D. citri genomes, we showed that improved genome assembly led to significant and quantifiable differences in RNA-sequencing data interpretation.

Conclusions

Our results support the hypothesis that future transcriptome studies on circulative, vector-borne pathogens should be conducted at the tissue-specific level using complete, chromosomal-length genome assemblies for the most accurate understanding of pathogen-induced changes in vector gene expression.
Investigating prospective gains from mergers in the agricultural sector through Inverse DEA
Authors: Oukil Amar
Published: April 2022

This paper presents a new application of Inverse data envelopment analysis (InvDEA) for strategic decision making: mergers & acquisitions (M&A) in the agricultural sector. Given a set of agricultural farms, the decision maker is interested in estimating the potential gains that are likely to result from the merger of two or more farms, as well as the redistribution of inputs among the merging farms, for an efficiency target set a priori for the post-merger farm. Using a sample of greenhouse (GH) farms from the Batinah region (Oman), an InvDEA approach is applied to investigate pairwise consolidations among GH farms and determine the level of inputs required for a merger to achieve full efficiency. Moreover, a DEA-based approach is introduced for selecting the best partners of a merger based on pertaining potential gains. The results highlight the importance of mergers as a strategic option for an efficient management of resources in the agricultural sector, especially scarce resources, like water and electricity.
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach
Authors: Xiong Hao , Phan Hoai Nam , Yin Kathleen , Berkovsky Shlomo , Jung Joshua , Lau Annie Y S
Published: April 2022

Objective

People are increasingly encouraged to self-manage their chronic conditions; however, many struggle to practise it effectively. Most studies that investigate patient work (ie, tasks involved in self-management and contexts influencing such tasks) rely on self-reports, which are subject to recall and other biases. Few studies use wearable cameras and deep learning to capture and classify patient work activities automatically.

Materials and Methods

We propose a deep learning approach to classify activities of patient work collected from wearable cameras, thereby studying self-management routines more effectively. Twenty-six people with type 2 diabetes and comorbidities wore a wearable camera for a day, generating more than 400 h of video across 12 daily activities. To classify these video images, a weighted ensemble network that combines Linear Discriminant Analysis, Deep Convolutional Neural Networks, and Object Detection algorithms is developed. Performance of our model is assessed using Top-1 and Top-5 metrics, compared against manual classification conducted by 2 independent researchers.

Results

Across 12 daily activities, our model achieved on average the best Top-1 and Top-5 scores of 81.9 and 86.8, respectively. Our model also outperformed other non-ensemble techniques in terms of Top-1 and Top-5 scores for most activity classes, demonstrating the superiority of leveraging weighted ensemble techniques.

Conclusions

Deep learning can be used to automatically classify daily activities of patient work collected from wearable cameras with high levels of accuracy. Using wearable cameras and a deep learning approach can offer an alternative approach to investigate patient work, one not subjected to biases commonly associated with self-report methods.
Predicting and Estimating Burn Outcomes: An Institutional Analysis of 4622 Cases
Authors: Zhang Jacques X , Ahmed S Nafeel , Pangli Harpreet , Papp Anthony
Published: April 2022

Advances in burn care have improved patient outcomes, and independently validated indices and predictors of burn outcomes warrant re-evaluation. The purpose of this study is to consolidate predictors of burn outcomes and determine the factors that significantly contribute to length-of-stay (LOS) and mortality. A retrospective review was conducted of all burn patients (n = 5778) admitted to a quaternary provincial burn unit from 1973 to 2017. Our inclusion criteria yielded 4622 independent cases. Multivariate linear and logistic regression models were generated, and area-under-receiver-operator-curve (AUROC) analysis was performed. Burn predictors included %TBSA, Baux (classic and revised) index, Abbreviated Burn Severity Index (ABSI), and Ryan score. Primary outcomes were mortality and LOS. Multivariate logistic regression for mortality showed the Baux index to be the best predictor for mortality (OR = 1.11, P < 0.001). The AUROC for Baux index was 0.95. With regard to LOS, ABSI was the best predictor for LOS (P < 0.001). ICU stay, ventilator use, alcoholism, and age are significantly associated with increased LOS. Interestingly, hypertension had a protective effect for LOS (P < 0.01) and trended towards a protective effect in mortality. Lethal score 50% (LS50) improved over the study period. The regressions show that burn mortality and LOS are best predicted with the Baux index and ABSI, respectively. Hypertension may have a protective effect on burn outcomes and may be attributed to increased perfusion to the periphery. These predictive scores are useful in determining institutional outcomes in burn surgery. Objective benchmarking of improvement in burn care outcomes can be established using LS50 trends.
Breast Imaging and Social Media: A Model Specialty for Increasing Interest and Awareness of Radiology in Pre-Medical Students
Authors: Chan Tiffany L , De Rohit , Sayre James , Reno Elaine
Published: April 2022

Objective

To assess how a virtual shadowing (VS) session on breast imaging (BI), shared through social media, can increase interest and awareness of radiology in pre-medical students.

Methods

This study was IRB exempt. A VS slide presentation on BI mentorship, didactic lecture, and deidentified image-rich, case-based learning was created. This session was advertised and presented live through an Instagram page (Pre-Health Virtual Shadowing, @virtualshadowing) geared toward pre-health students. Students were asked to complete a two-question self-assessment using a 5-point Likert scale on which 1 was “least” and 5 was “most.” Question 1 read: “Please rate your overall knowledge about radiology and what a radiologist does,” and question 2 read: “Please rate your interest in possibly looking into radiology as a potential career.”

Results

A total of 420 participants logged into the VS session; 82% (345/420) answered the pre-session survey and 48% (202/420) answered the post-session survey. Of post-survey respondents, 84% (170/202) were female and 70% (143/202) were 22 years old or younger. There was a significant difference in mean pre-session survey responses to question 1 when compared to mean post-session survey responses (2.67 vs 3.55, P < 0.001). There was also a significant difference in mean pre-session survey responses to question 2 when compared to mean post-session survey responses (3.16 vs 3.58, P < 0.001). Our VS session remains on YouTube and has 6157 views to date.

Conclusion

When shared through VS on social media, breast imaging can increase interest and awareness of radiology in pre-medical students.
Integrating climate, ecophysiology, and forest cover to estimate the vulnerability of sloths to climate change
Authors: Tourinho Luara , Sinervo Barry , Caetano Gabriel Henrique de Oliveira , Giné Gastón Andrés Fernandez , dos Santos Cinthya Chiva , Cruz-Neto Ariovaldo Pereira , Vale Mariana M
Published: April 2022

Global change imposes multiple challenges on species and, thus, a reliable prediction of current and future vulnerability of species must consider multiple stressors and intrinsic traits of species. Climate, physiology, and forest cover, for example, are required to evaluate threat to thermolabile forest-dependent species, such as sloths (Bradypus spp.; Mammalia: Xenarthra). Here, we estimated future changes in the distribution of three sloth species using a metabolic-hybrid model focused on climate (climatic only, i.e., CO approach) and adding forest cover constraints to distribution of species (climate plus land cover, i.e., CL approach). We used an innovative method to generate estimates of physiological parameters for endotherms, validated with field data. The CF approach predicted a future net expansion of distribution of B. torquatus and B. variegatus, and a future net contraction of distribution of B. tridactylus. The inclusion of forest cover constraints, however, reversed the predictions for B. torquatus, with a predicted net distribution contraction. It also reduced expansion of B. variegatus, although still showing a large net expansion. Thus, B. variegatus is not predicted to be threatened in the future; B. tridactylus emerges as the species most vulnerable to climate change, but with no considerable forest losses, while B. torquatus shows the opposite pattern. Our study highlights the importance of incorporating multiple stressors in predictive models in general. To increase resilience of species to climate change, it is key to control deforestation in the Amazon for B. tridactylus, and to promote reforestation in the Atlantic Forest for B. torquatus.
The Attractivity of the Head Louse, Pediculus humanus capitis (Pediculidae: Anoplura) to Isolated Compounds and Blends of Human Skin
Authors: Adjemian V , Galassi F G , Picollo M I , González-Audino P
Published: April 2022

Human head lice Pediculus humanus capitis De Geer (Phthiraptera: Pediculidae) are ectoparasites that cause pediculosis, a global scale disease mainly found in school-age children. Previous works from our laboratory found nonanal, sulcatone, and geranylacetone as the main human scalp volatile components, and individually evaluated their attraction to head lice using an olfactometer. In this work, we compared how their blends at different concentrations attract head lice, and how their blended effect compares to the effect of isolated compounds. At the concentrations evaluated, individual components did not show attraction towards head lice, but a ternary mixture of them was attractive. Moreover, a solvent extract from the human head scalp was analyzed by GC-MS, finding that tetradecanoic acid, palmitic acid, oleic acid, palmitoleic acid, and squalene are the most abundant components. Attraction to these individual compounds at natural concentrations was tested by bioassays in a circular experimental arena. No attraction was observed when the components were tested individually, but when they were evaluated as a blend they attracted head lice. This work presents new information about how chemical signals are attractive at certain concentrations and proportions. This information could be used to better understand communication mechanisms in head lice and for the development of louse repellents.
Deep extragalactic visible legacy survey (DEVILS): the emergence of bulges and decline of disc growth since z = 1
Authors: Hashemizadeh Abdolhosein , Driver Simon P , Davies Luke J M , Robotham Aaron S G , Bellstedt Sabine , Foster Caroline , Holwerda Benne W , Jarvis Matt , Phillipps Steven , Siudek Malgorzata , Thorne Jessica E , Windhorst Rogier A , Wolf Christian
Published: April 2022

We present a complete structural analysis of the ellipticals (E), diffuse bulges (dB), compact bulges (cB), and discs (D) within a redshift range 0 < z < 1, and stellar mass log10(M*/M⊙) ≥ 9.5 volume-limited sample drawn from the combined DEVILS and HST-COSMOS region. We use the profit code to profile over ∼35 000 galaxies for which visual classification into single or double component was pre-defined in Paper-I. Over this redshift range, we see a growth in the total stellar mass density (SMD) of a factor of 1.5. At all epochs we find that the dominant structure, contributing to the total SMD, is the disc, and holds a fairly constant share of $\sim 60{{\ \rm per\ cent}}$ of the total SMD from z = 0.8 to z = 0.2, dropping to $\sim 30{{\ \rm per\ cent}}$ at z = 0.0 (representing $\sim 33{{\ \rm per\ cent}}$ decline in the total disc SMD). Other classes (E, dB, and cB) show steady growth in their numbers and integrated stellar mass densities. By number, the most dramatic change across the full mass range is in the growth of diffuse bulges. In terms of total SMD, the biggest gain is an increase in massive elliptical systems, rising from 20 per cent at z = 0.8 to equal that of discs at z = 0.0 (30 per cent) representing an absolute mass growth of a factor of 2.5. Overall, we see a clear picture of the emergence and growth of all three classes of spheroids over the past 8 Gyr, and infer that in the later half of the Universe’s timeline spheroid-forming processes and pathways (secular evolution, mass-accretion, and mergers) appear to dominate mass transformation over quiescent disc growth.
Evolution of stellar orbits around merging massive black hole binary
Authors: Liu Bin , Lai Dong
Published: April 2022

We study the long-term orbital evolution of stars around a merging massive or supermassive black hole binary (BHB), taking into account the general relativistic effect induced by the black hole (BH) spin. When the BH spin is significant compared to and misaligned with the binary orbital angular momentum, the orbital axis ($\hat{\boldsymbol {l}}$) of the circumbinary star can undergo significant evolution during the binary orbital decay driven by gravitational radiation. Including the spin effect of the primary (more massive) BH, we find that starting from nearly coplanar orbital orientations, the orbital axes $\hat{\boldsymbol {l}}$ of circumbinary stars preferentially evolve towards the spin direction after the merger of the BHB, regardless of the initial BH spin orientation. Such alignment phenomenon, i.e. small final misalignment angle between $\hat{\boldsymbol {l}}$ and the spin axis of the remnant BH $\hat{\boldsymbol {S}}$, can be understood analytically using the principle of adiabatic invariance. For the BHBs with extremely mass ratio (m2/m1 ≲ 0.01), $\hat{\boldsymbol {l}}$ may experience more complicated evolution as adiabatic invariance breaks down, but the trend of alignment still works reasonably well when the initial binary spin–orbit angle is relatively small. Our result suggests that the correlation between the orientations of stellar orbits and the spin axis of the central BH could provide a potential signature of the merger history of the massive BH.
Scattering calculation of the newly observed pentacarbon monoxide (C5O) with He atom: de-excitation rates and radiative transfer
Authors: Khadri F , Chefai A , Hammami K
Published: April 2022

To determine the chemical composition of gases in molecular clouds, the oxygen-bearing systems CnO are needed as probe elements. The pentacarbon monoxide C5O was recently detected in TMC-1, and in order to derive accurate physical conditions from its rotational transitions, calculation of rate coefficients of C5O(1Σ+) induced by collision with He are performed for thermal temperature below 100 K. These calculations are based on a new 2D potential energy surface (2D-PES) obtained from the explicit correlated coupled cluster with single, double, and pertubative triple excitation (ccsd(t)-f12) ab initio approach associated with aug-cc-pVTZ basis sets. The C5O–He PES presents two minima below its dissociation limit with a well depths of −59.321 and −53.059 cm−1. By mean of this PES, the integral cross sections are calculated in the close-coupling quantum time independant formalism for $E\le 500 \, {\rm cm}^{-1}$ and J ≤ 20. The de-excitation rate coefficients are obtained after averaging these cross sections at low temperatures. We expect that the new collisional data will allow accurate determination of the C5O abundance in the interstellar medium, as well as the interpretation of its emission lines. These new data are crucial to understand the chemistry of carbon chain species in the interstellar gas.
The stellar mass distribution of the Milky Way’s bar: an analytical model
Authors: Sormani Mattia C , Gerhard Ortwin , Portail Matthieu , Vasiliev Eugene , Clarke Jonathan
Published: April 2022

We present an analytic model of the stellar mass distribution of the Milky Way bar. The model is obtained by fitting a multicomponent parametric density distribution to a made-to-measure N-body model of Portail et al., constructed to match a variety of density and kinematics observational data. The analytic model reproduces in detail the 3D density distribution of the N-body bar including the X-shape. The model and the gravitational potential it generates are available as part of the software package agama for galactic dynamics, and can be readily used for orbit integrations, hydrodynamical simulations, or other applications.
Efficacy and safety of avacopan in Japanese patients with antineutrophil cytoplasmic antibody-associated vasculitis: A subanalysis of a randomized Phase 3 study
Authors: Harigai Masayoshi , Kaname Shinya , Tamura Naoto , Dobashi Hiroaki , Kubono Shinichi , Yoshida Takumitsu
Published: April 2022

Objectives

This subgroup analysis of the randomized, double-blind, Phase 3 ADVOCATE study evaluated the efficacy and safety of avacopan compared with tapered prednisone in Japanese patients with antineutrophil cytoplasmic antibody-associated vasculitis.

Methods

Patients with microscopic polyangiitis (MPA) or granulomatosis with polyangiitis (GPA) received either avacopan 30 mg twice daily for 52 weeks plus prednisone-matching placebo or tapered prednisone over 20 weeks plus avacopan-matching placebo for 52 weeks. The two primary efficacy endpoints were clinical remission at Week 26 and sustained remission at Week 52.

Results

Compared with the overall population (N = 330), Japanese patients (N = 21) were older and had worse renal function, and a higher proportion were female and had MPA. The proportion of Japanese patients with clinical remission at Week 26 was 9/11 (81.8%) with avacopan vs. 7/10 (70.0%) with prednisone (overall population: 72.3% vs. 70.1%) and with sustained remission at Week 52 was 8/11 (72.7%) vs. 4/10 (40.0%), respectively (overall population: 65.7% vs. 54.9%). The safety profile of avacopan was similar in Japanese patients and the overall study population.

Conclusions

The efficacy and safety of avacopan in Japanese patients with MPA or GPA were comparable to that observed in the overall ADVOCATE study population.
Phase III trial of chemoradiotherapy with temozolomide plus nivolumab or placebo for newly diagnosed glioblastoma with methylated MGMT promoter
Authors: Lim Michael , Weller Michael , Idbaih Ahmed , Steinbach Joachim , Finocchiaro Gaetano , Raval Raju R , Ansstas George , Baehring Joachim , Taylor Jennie W , Honnorat Jerome , Petrecca Kevin , De Vos Filip , Wick Antje , Sumrall Ashley , Sahebjam Solmaz , Mellinghoff Ingo K , Kinoshita Masashi , Roberts Mustimbo , Slepetis Ruta , Warad Deepti , Leung David , Lee Michelle , Reardon David A , Omuro Antonio
Published: April 2022

Background

Nearly all patients with newly diagnosed glioblastoma experience recurrence following standard-of-care radiotherapy (RT) + temozolomide (TMZ). The purpose of the phase III randomized CheckMate 548 study was to evaluate RT + TMZ combined with the immune checkpoint inhibitor nivolumab (NIVO) or placebo (PBO) in patients with newly diagnosed glioblastoma with methylated MGMT promoter (NCT02667587).

Methods

Patients (N = 716) were randomized 1:1 to NIVO [(240 mg every 2 weeks × 8, then 480 mg every 4 weeks) + RT (60 Gy over 6 weeks) + TMZ (75 mg/m2 once daily during RT, then 150-200 mg/m2 once daily on days 1-5 of every 28-day cycle × 6)] or PBO + RT + TMZ following the same regimen. The primary endpoints were progression-free survival (PFS) and overall survival (OS) in patients without baseline corticosteroids and in all randomized patients.

Results

As of December 22, 2020, median (m)PFS (blinded independent central review) was 10.6 months (95% CI, 8.9-11.8) with NIVO + RT + TMZ vs 10.3 months (95% CI, 9.7-12.5) with PBO + RT + TMZ (HR, 1.1; 95% CI, 0.9-1.3) and mOS was 28.9 months (95% CI, 24.4-31.6) vs 32.1 months (95% CI, 29.4-33.8), respectively (HR, 1.1; 95% CI, 0.9-1.3). In patients without baseline corticosteroids, mOS was 31.3 months (95% CI, 28.6-34.8) with NIVO + RT + TMZ vs 33.0 months (95% CI, 31.0-35.1) with PBO + RT + TMZ (HR, 1.1; 95% CI, 0.9-1.4). Grade 3/4 treatment-related adverse event rates were 52.4% vs 33.6%, respectively.

Conclusions

NIVO added to RT + TMZ did not improve survival in patients with newly diagnosed glioblastoma with methylated or indeterminate MGMT promoter. No new safety signals were observed.
Range-wide habitat use of the Harpy Eagle indicates four major tropical forest gaps in the Key Biodiversity Area network
Authors: Sutton Luke J , Anderson David L , Franco Miguel , McClure Christopher J W , Miranda Everton B P , Vargas F Hernán , Vargas González José de J , Puschendorf Robert
Published: April 2022

Quantifying habitat use is important for understanding how animals meet their requirements for survival and provides information for conservation planning. Currently, assessments of range-wide habitat use that delimit species distributions are incomplete for many taxa. The Harpy Eagle (Harpia harpyja) is a raptor of conservation concern, widely distributed across Neotropical lowland forests, that currently faces threats from habitat loss and fragmentation. Here, we use penalized logistic regression to identify species-habitat associations and predict habitat suitability based on a new International Union for the Conservation of Nature range metric, termed Area of Habitat. From the species-habitat model, we performed a gap analysis to identify areas of high habitat suitability in regions with limited coverage in the key biodiversity area (KBA) network. Range-wide habitat use indicated that Harpy Eagles prefer areas of 70%–75% evergreen forest cover, low elevation, and high vegetation species richness. Conversely, Harpy Eagles avoid areas of >10% cultivated landcover and mosaic forest, and topographically complex areas. Our species-habitat model identified a large continuous area of potential habitat across the pan-Amazonia region, and a habitat corridor from the Chocó-Darién ecoregion of Colombia running north along the Caribbean coast of Central America. Little habitat was predicted across the Atlantic Forest biome, which is now severely degraded. The current KBA network covered 18% of medium to high Harpy Eagle habitat exceeding a target biodiversity area representation of 10%, based on species range size. Four major areas of high suitability habitat lacking coverage in the KBA network were identified in north and west Colombia, western Guyana, and north-west Brazil. We recommend these multiple gaps of habitat as new KBAs for strengthening the current KBA network. Modeled area of habitat estimates as described here is a useful tool for large-scale conservation planning and can be readily applied to many taxa.
Heat shock protein gene expression varies among tissues and populations in free-living birds
Authors: Woodruff Mary J , Zimmer Cedric , Ardia Daniel R , Vitousek Maren N , Rosvall Kimberly A
Published: April 2022

Climate change is dramatically altering our planet, yet our understanding of mechanisms of thermal tolerance is limited in wild birds. We characterized natural variation in heat shock protein (HSP) gene expression among tissues and populations of free-living Tree Swallows (Tachycineta bicolor). We focused on HSPs because they prevent cellular damage and promote recovery from heat stress. We used quantitative PCR to measure gene expression of 3 HSPs, including those in the HSP70 and HSP90 families that have robust experimental connections to heat in past literature. First, to evaluate how tissues and, by extension, the functions that they mediate, may vary in their thermal protection, we compared HSP gene expression among neural and peripheral tissues. We hypothesized that tissues with particularly vital functions would be more protected from heat as indicated by higher HSP gene expression. We found that brain tissues had consistently higher HSP gene expression compared to the pectoral muscle. Next, we compared HSP gene expression across 4 distinct populations that span over 20° of latitude (>2,300 km). We hypothesized that the more southern populations would have higher HSP gene expression, suggesting greater tolerance of, or experience with, warmer local conditions. We observed largely higher HSP gene expression in more southern populations than northern populations, although this pattern was more striking at the extremes (southern Indiana vs. Alaska), and it was stronger in some brain areas than others (ventromedial telencephalon vs. hypothalamus). These results shed light on the potential mechanisms that may underlie thermal tolerance differences among populations or among tissues.
Trans Liminality and the Nazi State
Authors: Nunn Zavier
Published: April 2022

Weimar Berlin is considered a past haven of queer possibility, but for trans people its permissiveness had clear limits. A close reading of the life of trans woman Gerd R. undermines a simple idealization of Weimar Berlin and addresses continuities and breaks between the Weimar Republic and Nazi Germany.

How the Nazi state policed trans people is yet to be acknowledged by historians. Thus far, trans people have been subsumed into histories of queer persecution. Yet, if they had ‘Aryan’ racial status and were not considered homosexual, some trans people could avoid the worst of Nazi violence. If they had significant utilitarian value in their ability to perform skilled work, they could even be considered for rehabilitation into the Volksgemeinschaft. R.’s treatment therefore demonstrates the heterogeneous nature of Nazi policy and persecution in practice. Her contradictory and complex position within the Nazi societal matrix serves to undermine the coherence of the racial state paradigm and reasserts the vagueness and malleability of the Volksgemeinschaft model. This microhistorical analysis offers a new perspective on gender and sexuality in Weimar and Third Reich historiography, and foregrounds unexpected ways that trans liminality highlights incoherencies in Nazi state practice.
A coiled-coil protein associates Polycomb Repressive Complex 2 with KNOX/BELL transcription factors to maintain silencing of cell differentiation-promoting genes in the shoot apex
Authors: Tan Feng-Quan , Wang Wentao , Li Junjie , Lu Yue , Zhu Bo , Hu Fangfang , Li Qi , Zhao Yu , Zhou Dao-Xiu
Published: April 2022

Polycomb repressive complex 2 (PRC2), which mediates the deposition of H3K27me3 histone marks, is important for developmental decisions in animals and plants. In the shoot apical meristem (SAM), Three Amino acid Loop Extension family KNOTTED-LIKE HOMEOBOX /BEL-like (KNOX/BELL) transcription factors are key regulators of meristem cell pluripotency and differentiation. Here, we identified a PRC2-associated coiled-coil protein (PACP) that interacts with KNOX/BELL transcription factors in rice (Oryza sativa) shoot apex cells. A loss-of-function mutation of PACP resulted in differential gene expression similar to that observed in PRC2 gene knockdown plants, reduced H3K27me3 levels, and reduced genome-wide binding of the PRC2 core component EMF2b. The genomic binding of PACP displayed a similar distribution pattern to EMF2b, and genomic regions with high PACP- and EMF2b-binding signals were marked by high levels of H3K27me3. We show that PACP is required for the repression of cell differentiation-promoting genes targeted by a rice KNOX1 protein in the SAM. PACP is involved in the recruitment or stabilization of PRC2 to genes targeted by KNOX/BELL transcription factors to maintain H3K27me3 and gene repression in dividing cells of the shoot apex. Our results provide insight into PRC2-mediated maintenance of H3K27me3 and the mechanism by which KNOX/BELL proteins regulate SAM development.
Self-perceived disease activity was the strongest predictor of COVID-19 pandemic-related concerns in young people with autoimmune rheumatic diseases, irrespective of their gender, with females reporting higher concerns
Authors: Peng Junjie , Mehta Puja , Khatun Ayesha , Wu Wing-Han , Hennelly Laura , Doolan Georgia , Henty Julian R , Howard Paul , Jury Elizabeth , Ciurtin Coziana
Published: April 2022

Objectives

We report the results of a pilot young patient survey that targeted patients with JSLE and JDM, exploring well-being, resilience and general concern about the coronavirus disease 2019 (COVID-19) pandemic as well as self-assessment of disease activity.

Methods

The survey was completed anonymously by patients who had been approached via the automatically generated hospital database between June and December 2020. In addition to disease characteristics, geographic location, education and employment level, we explored young patients’ resilience, mood and feelings, mental well-being, self-assessed disease activity and general COVID-19 concerns using validated tools and visual analogue scales.

Results

This pilot study found that self-perceived disease activity was the strongest predictor of COVID-19 concern, irrespective of gender, employment and education status or well-being and resilience. Generalized concerns regarding the COVID-19 pandemic were significantly higher in females, although their self-reported DASs were comparable to male respondents.

Conclusion

Our findings highlight a gender bias in the generalized concern related to the COVID-19 pandemic, irrespective of the examined potential confounders. This suggests the need for further research around young patient self-reported outcomes outside hospital visits, especially in the context of gender differences and potential challenges of future pandemics.
INHIBITORY EFFECT OF CALCIUM ON CAESIUM ABSORPTION IN PLANT ROOTS
Authors: Kihana Masashi , Yamagami Mutsumi
Published: April 2022

Radiocaesium is released into the environment by accidents in nuclear facilities. One of the major issues related with this is the assessment and reduction of internal exposure of crops grown in contaminated soil. To solve this, we developed a method of inhibiting Cs absorption by plant roots. In the presence of potassium concentrations >100 μM, Cs absorption occurs mainly via voltage-insensitive cation channels (VICC). Since the transport activity of VICC was inhibited by calcium at millimolar concentrations, we hypothesised that Ca would effectively inhibit Cs absorption. We grew Arabidopsis and rice plants in the presence of Cs and Ca in the nanomolar and millimolar range and measured Cs concentrations in the plants using inductively coupled plasma mass spectrometry. The results showed that the Cs concentration in both plants decreased with increasing Ca concentration in the medium. This suggests that Ca has an inhibitory effect on Cs absorption.