bluuebunny/crossref_metadata_2025_split huggingface dataset:
On accretion in the eclipsing polar BS Tri
Authors: Kolbin Alexander I , Borisov N V , Serebriakova N A , Shimansky V V , Katysheva N A , Gabdeev M M , Shugarov S Yu 
Published: December 2021

ABSTRACT
We analyse spectroscopic and photometric observations of the eclipsing polar BS Tri. The polar’s light-curve-shape variations can be interpreted by changing contributions of the accretion stream to the integral radiation of the system. Based on the radial-velocity curves of the irradiated part of the secondary, we refine the masses of the system components, M1 = 0.60 ± 0.04 M⊙ and M2 ≈ 0.12 M⊙, and the orbital inclination, i = 85 ± 0.5°. The polar’s spectra reveal cyclotron harmonics forming in an accretion spot with a magnetic field strength of B = 22.7 ± 0.4 MG and an average temperature of T ∼ 10 keV. In addition to the cyclotron harmonics, the BS Tri spectra contain Zeeman components of H α line, which are probably formed in the cool halo near the accretion spot. The orientation of the magnetic dipole and the coordinates of the accretion spot are estimated by modelling the light curves of the polar. We show that for a satisfactory description of the BS Tri light curves we have to take into account the variability of the spot’s optical depth along the line of sight. Doppler maps of BS Tri show a part of the accretion stream with a trajectory close to ballistic near the Lagrange point L1, and another part of the stream moving along the magnetic field lines. The estimate of the stagnation region position found from the Doppler tomograms is consistent with the photometric estimates of the accretion spot position.
On the synthesis of N–O bearing species in astrophysical ices – an infrared spectroscopic study using heavy-ion irradiation of solid N2:CO samples
Authors: Bergantini A , de Barros A L F , Domaracka A , Rothard H , Boduch P , da Silveira E F 
Published: December 2021

ABSTRACT
The interstellar chemistry of nitrogen is considerably less understood than the chemistry of other common elements, such as carbon and oxygen. Even though a relatively large number of species containing nitrogen atoms have already been detected in the interstellar medium, only six of them bear a nitrogen–oxygen (N–O) bond. Some astrophysical and primeval Earth models suggest that N–O species, such as hydroxylamine (NH2OH), are potential precursors of prebiotic amino acids, and even peptides. In this work, we have analyzed an apolar ice mixture of N2:CO of astrophysical interest to investigate possible formation mechanisms of N–O bearing molecules due to processing of the sample by 64Ni24+ 538 MeV ions (8.4 MeV/u) at 14 K. The results show the formation of simple nitrogen oxides ($\rm {N_{1 - 2}}{O_y})$, but no CN–O species of any kind. We have also determined the formation cross-sections of some of the products, as well as the destruction cross-sections of precursors and products. The results presented here are discussed in light of our previous work on the processing of a NH3:CO ice mixture, which have found no N–O bearing molecules at all.
Neutron star oscillations in pseudo-Newtonian gravity
Authors: Tang Yat-To , Lin Lap-Ming 
Published: December 2021

ABSTRACT
We investigate the oscillations of neutron stars using a purely Newtonian approach and three other pseudo-Newtonian formulations. Our work is motivated by the fact that pseudo-Newtonian formulations are commonly used in core-collapse supernova (CCSN) simulations. We derive and solve numerically the radial and non-radial perturbation equations for neutron star oscillations using different combinations of modified Newtonian hydrodynamics equations and gravitational potentials. We pay special attention to the formulation proposed recently by Zha et al. that implements the standard Case A effective potential in CCSN simulations with an additional lapse-function correction to the hydrodynamics equations. We find that this ‘Case A + lapse’ formulation can typically approximate the frequency of the fundamental radial mode of a 1.4-M⊙ neutron star computed in general relativity to about a few tens of per cent for our chosen EOS models. For the non-radial quadrupolar f mode, which is expected to contribute strongly to the gravitational waves emitted from a protoneutron star, the Case A + lapse formulation performs much better and can approximate the f-mode frequency to within about a few per cent even for the maximum-mass configuration in general relativity.
Accretion of a clumped wind from a red supergiant donor on to a magnetar is suggested by the analysis of the XMM–Newton and NuSTAR observations of the X-ray binary 3A 1954+319
Authors: Bozzo E , Ferrigno C , Oskinova L , Ducci L 
Published: December 2021

ABSTRACT
3A 1954+319 has been classified for a long time as a symbiotic X-ray binary, hosting a slowly rotating neutron star and an aged M red giant. Recently, this classification has been revised thanks to the discovery that the donor star is an M supergiant. This makes 3A 1954+319 a rare type of high-mass X-ray binary consisting of a neutron star and a red supergiant donor. In this paper, we analyse two archival and still unpublished XMM–Newton and NuSTAR observations of the source. We perform a detailed hardness ratio-resolved spectral analysis to search for spectral variability that could help investigating the structures of the inhomogeneous M supergiant wind from which the neutron star is accreting. We discuss our results in the context of wind-fed supergiant X-ray binaries and show that the newest findings on 3A 1954+319 reinforce the hypothesis that the neutron star in this system is endowed with a magnetar-like magnetic field strength (≳ 1014 G).
Development of RIKEN Plant Metabolome MetaDatabase
Authors: Fukushima Atsushi , Takahashi Mikiko , Nagasaki Hideki , Aono Yusuke , Kobayashi Makoto , Kusano Miyako , Saito Kazuki , Kobayashi Norio , Arita Masanori 
Published: December 2021

Abstract
The advancement of metabolomics in terms of techniques for measuring small molecules has enabled the rapid detection and quantification of numerous cellular metabolites. Metabolomic data provide new opportunities to gain a deeper understanding of plant metabolism that can improve the health of both plants and humans that consume them. Although major public repositories for general metabolomic data have been established, the community still has shortcomings related to data sharing, especially in terms of data reanalysis, reusability and reproducibility. To address these issues, we developed the RIKEN Plant Metabolome MetaDatabase (RIKEN PMM, http://metabobank.riken.jp/pmm/db/plantMetabolomics), which stores mass spectrometry-based (e.g. gas chromatography–MS-based) metabolite profiling data of plants together with their detailed, structured experimental metadata, including sampling and experimental procedures. Our metadata are described as Linked Open Data based on the Resource Description Framework using standardized and controlled vocabularies, such as the Metabolomics Standards Initiative Ontology, which are to be integrated with various life and biomedical science data using the World Wide Web. RIKEN PMM implements intuitive and interactive operations for plant metabolome data, including raw data (netCDF format), mass spectra (NIST MSP format) and metabolite annotations. The feature is suitable not only for biologists who are interested in metabolomic phenotypes, but also for researchers who would like to investigate life science in general through plant metabolomic approaches.
Interfered chromosome pairing at high temperature promotes meiotic instability in autotetraploid Arabidopsis
Authors: Fu Huiqi , Zhao Jiayi , Ren Ziming , Yang Ke , Wang Chong , Zhang Xiaohong , Elesawi Ibrahim Eid , Zhang Xianhua , Xia Jing , Chen Chunli , Lu Ping , Chen Yongxing , Liu Hong , Yu Guanghui , Liu Bing 
Published: December 2021

Abstract
Changes in environmental temperature affect multiple meiotic processes in flowering plants. Polyploid plants derived from whole-genome duplication (WGD) have enhanced genetic plasticity and tolerance to environmental stress but face challenges in organizing and segregating doubled chromosome sets. In this study, we investigated the impact of increased environmental temperature on male meiosis in autotetraploid Arabidopsis (Arabidopsis thaliana). Under low to mildly increased temperatures (5°C–28°C), irregular chromosome segregation universally occurred in synthetic autotetraploid Columbia-0 (Col-0). Similar meiotic lesions occurred in autotetraploid rice (Oryza sativa L.) and allotetraploid canola (Brassica napus cv Westar), but not in evolutionarily derived hexaploid wheat (Triticum aestivum). At extremely high temperatures, chromosome separation and tetrad formation became severely disordered due to univalent formation caused by the suppression of crossing-over. We found a strong correlation between tetravalent formation and successful chromosome pairing, both of which were negatively correlated with temperature elevation, suggesting that increased temperature interferes with crossing-over predominantly by impacting homolog pairing. We also showed that loading irregularities of axis proteins ASY1 and ASY4 co-localize on the chromosomes of the syn1 mutant and the heat-stressed diploid and autotetraploid Col-0, revealing that heat stress affects the lateral region of synaptonemal complex (SC) by impacting the stability of the chromosome axis. Moreover, we showed that chromosome axis and SC in autotetraploid Col-0 are more sensitive to increased temperature than those in diploid Arabidopsis. Taken together, our data provide evidence suggesting that WGD negatively affects the stability and thermal tolerance of meiotic recombination in newly synthetic autotetraploid Arabidopsis.
Characteristics and Risk Factors of Persistent Neuropathic Pain in Recovered COVID-19 Patients
Authors: Magdy Rehab , Eid Ragaey A , Fathy Wael , Abdel-Aziz Manar M , Ibrahim Raghda E , Yehia Ahmed , Sheemy Mostafa S , Hussein Mona 
Published: December 2021

Abstract

Objectives
To assess risk factors for persistent neuropathic pain in subjects recovered from coronavirus disease 2019 (COVID-19) and to study the serum level of neurofilament light chain (NFL) in those patients.

Design
Case-control study.

Setting
Persistent post-COVID-19 pain.

Subjects
In total, 45 patients with post-COVID-19 pain and another 45 age and sex-matched healthcare workers who recovered from COVID-19 without pain.

Methods
The included participants were subjected to medical history taking, screening for depressive disorders, comprehensive neurological examination, and pain evaluation using the Douleur Neuropathique en 4 questions (DN4). All patients who had a score at least 4/10 on DN4 were included. The serum NFL level was measured for both groups at the time of patients’ enrollment.

Results
The frequency of depression, moderate and severe COVID-19 cases, disease duration and serum ferritin were significantly higher in the cases with post-COVID-19 pain than controls. Binary logistic regression revealed that depression, azithromycin use, moderate and severe COVID-19 increased the odds of post-COVID-19 pain by 4.462, 5.444, 4.901, and 6.276 times, respectively. Cases with post-COVID-19 pain had significantly higher NFL (11.34 ± 9.7, 95% confidence interval [CI]: 8.42–14.25) than control group (7.64 ± 5.40, 95% CI: 6.02–9.27), (P value = .029). Patients with allodynia had significantly higher NFL (14.96 ± 12.41, 95% CI: 8.58–21.35) compared to those without (9.14 ± 6.99, 95% CI: 6.43–11.85) (P value = .05).

Discussion
Depression, azithromycin, and moderate and severe COVID-19 are independent predictors of persistent post-COVID-19 pain. Serum NFL may serve as a potential biomarker for persistent neuropathic pain after COVID-19.
White Matter Metabolite Relaxation and Diffusion Abnormalities in First-Episode Psychosis: A Longitudinal Study
Authors: Chen Xi , Fan Xiaoying , Song Xiaopeng , Gardner Margaret , Du Fei , Öngür Dost 
Published: December 2021

AbstractMicrostructural abnormalities in the white matter (WM) are implicated in the pathophysiology of psychosis. In vivo magnetic resonance spectroscopy (MRS) can probe the brain’s intracellular microenvironment through the measurement of transverse relaxation and diffusion of neurometabolites and possibly provide cell-specific information. In our previous studies, we observed differential metabolite signal abnormalities in first episode and chronic stages of psychosis. In the present work, longitudinal data were presented for the first time on white matter cell-type specific abnormalities using a combination of diffusion tensor spectroscopy (DTS), T2 MRS, and diffusion tensor imaging (DTI) from a group of 25 first episode psychosis patients and nine matched controls scanned at baseline and one and two years of follow-up. We observed significantly reduced choline ADC in the year 1 of follow-up (0.194 µm2/ms) compared to baseline (0.229 µm2/ms), followed by a significant increase in NAA ADC in the year 2 follow-up (0.258 µm2/ms) from baseline (0.222 µm2/ms) and year 1 follow-up (0.217 µm2/ms). In contrast, NAA T2 relaxation, reflecting a related but different aspect of microenvironment from diffusion, was reduced at year 1 follow-up (257 ms) compared to baseline (278 ms). These abnormalities were observed in the absence of any abnormalities in water relaxation and diffusion at any timepoint. These findings indicate that abnormalities are seen in in glial-enriched (choline) signals in early stages of psychosis, followed by the subsequent emergence of neuronal-enriched (NAA) diffusion abnormalities, all in the absence of nonspecific water signal abnormalities.
3D Microtissues Mimic the Architecture, Estradiol Synthesis, and Gap Junction Intercellular Communication of the Avascular Granulosa
Authors: Ip Blanche C , Leary Elizabeth , Knorlein Benjamin , Reich David , Van Vivian , Manning Joshua , Morgan Jeffrey R 
Published: December 2021

Abstract
Humans are consistently exposed to thousands of untested chemicals that have been detected in the follicular fluid of the ovaries, and can disrupt reproductive health. Human granulosa cells (GCs) are the functional unit of the ovarian follicle with steroidogenic and signaling activities, and play a pivotal role in oocyte development. During follicle progression, GCs multiply to form a 3D avascular structure, and establish gap junction intercellular communication (GJIC) that is critical to maintaining optimal viability and function. We developed a high-throughput in vitro platform of human GCs for the screening of chemicals that can impact GJIC and estradiol (E2) production of human granulosa. Our granulosa 3D microtissues fabricated with human ovarian granulosa-like tumor KGN cells are multicell-layered structures that mimic the avascular granulosa layers surrounding the oocyte. These microtissues robustly expressed the steroidogenic CYP19 aromatase enzyme and GJIC intercellular membrane channel, connexin 43. Granulosa microtissues produced E2 at rates comparable to primary human GCs as previously reported. E2 production was suppressed by the CYP19 inhibitor, letrozole, and induced by CYP19 activators, bisphenol A at 100 µM, and genistein at 100 µM. Granulosa microtissues displayed active GJIC function, as demonstrated by the connexin 43-dependent diffusion of calcein fluorescent dye from microtissue surface to the core using high-throughput confocal microscopy in conjunction with our open-sourced automated image analysis tool. Overall, our 3D human granulosa screening platform is highly promising for predictive and efficient in vitro toxicity testing to screen for chemicals that contaminate follicular fluid and may affect fertility.
Epidemiology and Outcome of Sepsis in Adults and Children in a Rural, Sub-Sahara African Setting
Authors: Kwizera Arthur , Urayeneza Olivier , Mujyarugamba Pierre , Baelani Inipavudu , Meier Jens , Mer Mervyn , Musa Ndidiamaka , Kissoon Niranjan , Patterson Andrew J. , Farmer Joseph C. , Dünser Martin W. ,   For the “Sepsis in Resource-Limited Nations” Task Force of the Surviving Sepsis Campaign
Published: December 2021

OBJECTIVES:
To identify the epidemiology and outcome of adults and children with and without sepsis in a rural sub-Sahara African setting.

DESIGN:
A priori planned substudy of a prospective, before-and-after trial.

SETTING:
Rural, sub-Sahara African hospital.

PATIENTS:
One-thousand four-hundred twelve patients (adults, n = 491; children, n = 921) who were admitted to hospital because of an acute infection.

INTERVENTIONS:
None.

MEASUREMENTS AND MAIN RESULTS:
Demographic, clinical, laboratory data, danger signs, and the presence of sepsis (defined as a quick Sequential Organ Failure Assessment score count ≥ 2) at admission were extracted. Sepsis was observed in 69 adults (14.1%) and 248 children (26.9%). Sepsis patients differed from subjects without sepsis in several demographic and clinical aspects. Malaria was the most frequent type of infection in adults (66.7%) and children (63.7%) with sepsis, followed by suspected bacterial and parasitic infections other than malaria. Adults with sepsis more frequently developed respiratory failure (8.7% vs 2.1%; p = 0.01), had a higher in-hospital mortality (17.4% vs 8.3%; p < 0.001), were less often discharged home (81.2% vs 92.2%; p = 0.007), and had higher median (interquartile range) costs of care (30,300 [19,400–49,900] vs 42,500 Rwandan Francs [27,000–64,400 Rwandan Francs]; p = 0.004) than adults without sepsis. Children with sepsis were less frequently discharged home than children without sepsis (93.1% vs 96.4%; p = 0.046). Malaria and respiratory tract infections claimed the highest absolute numbers of lives. The duration of symptoms before hospital admission did not differ between survivors and nonsurvivors in adults (72 [24–168] vs 96 hr [72–168 hr]; p = 0.27) or children (48 [24–72] vs 36 [24–108 hr]; p = 0.8). Respiratory failure and coma were the most common causes of in-hospital death.

CONCLUSIONS:
In addition to suspected bacterial, viral, and fungal infections, malaria and other parasitic infections are common and important causes of sepsis in adults and children admitted to a rural hospital in sub-Sahara Africa. The in-hospital mortality associated with sepsis is substantial, primarily in adults.
Postnatal exposure to PM2.5 and weight trajectories in early childhood
Authors: Vanoli Jacopo , Coull Brent A. , Ettinger de Cuba Stephanie , Fabian Patricia M. , Carnes Fei , Massaro Marisa A. , Poblacion Ana , Bellocco Rino , Kloog Itai , Schwartz Joel , Laden Francine , Zanobetti Antonella 
Published: December 2021

Background:
Inconsistent evidence has assessed the impact of air pollution exposure on children’s growth trajectories. We investigated the role of 90-day average postnatal fine particulate matter (PM2.5) exposures by estimating the magnitude of effects at different ages, and the change in child weight trajectory by categories of exposure.

Methods:
We obtained weight values from electronic health records at each hospital visit (males = 1859, females = 1601) from birth to 6 years old children recruited into the Boston-based Children’s HealthWatch cohort (2009–2014). We applied mixed models, adjusting for individual and maternal confounders using (1) varying-coefficient models allowing for smooth non-linear interaction between age and PM2.5, (2) factor-smooth interaction between age and PM2.5 quartiles. Additionally, we stratified by sex and low birthweight (LBW) status (≤2500 g).

Results:
Using varying-coefficient models, we found that PM2.5 significantly modified the association between age and weight in males, with a positive association in children younger than 3 years and a negative association afterwards. In boys, for each 10 µg/m3 increase in PM2.5 we found a 2.6% increase (95% confidence interval = 0.8, 4.6) in weight at 1 year of age and a −0.6% (95% confidence interval = −3.9, 2.9) at 5 years. We found similar but smaller changes in females, and no differences comparing growth trajectories across quartiles of PM2.5. Most of the effects were in LBW children and null for normal birthweight children.

Conclusions:
This study suggests that medium-term postnatal PM2.5 may modify weight trajectories nonlinearly in young children, and that LBW babies are more susceptible than normal-weight infants.
Early environmental quality and life-course mental health effects: The Equal-Life project
Authors: Kamp Irene van , Persson Waye Kerstin , Kanninen Katja , Gulliver John , Bozzon Alessandro , Psyllidis Achilleas , Boshuizen Hendriek , Selander Jenny , van den Hazel Peter , Brambilla Marco , Foraster Maria , Julvez Jordi , Klatte Maria , Jeram Sonja , Lercher Peter , Botteldooren Dick , Ristovska Gordana , Kaprio Jaakko , Schreckenberg Dirk , Hornikx Maarten , Fels Janina , Weber Miriam , Braat-Eggen Ella , Hartmann Julia , Clark Charlotte , Vrijkotte Tanja , Brown Lex , Bolte Gabriele ,   Equal-Life Scientific Team
Published: December 2021

Background:
There is increasing evidence that a complex interplay of factors within environments in which children grows up, contributes to children’s suboptimal mental health and cognitive development. The concept of the life-course exposome helps to study the impact of the physical and social environment, including social inequities, on cognitive development and mental health over time.

Methods:
Equal-Life develops and tests combined exposures and their effects on children’s mental health and cognitive development. Data from eight birth-cohorts and three school studies (N = 240.000) linked to exposure data, will provide insights and policy guidance into aspects of physical and social exposures hitherto untapped, at different scale levels and timeframes, while accounting for social inequities. Reasoning from the outcome point of view, relevant stakeholders participate in the formulation and validation of research questions, and in the formulation of environmental hazards. Exposure assessment combines GIS-based environmental indicators with omics approaches and new data sources, forming the early-life exposome. Statistical tools integrate data at different spatial and temporal granularity and combine exploratory machine learning models with hypothesis-driven causal modeling.

Conclusions:
Equal-Life contributes to the development and utilization of the exposome concept by (1) integrating the internal, physical and social exposomes, (2) studying a distinct set of life-course effects on a child’s development and mental health (3) characterizing the child’s environment at different developmental stages and in different activity spaces, (4) looking at supportive environments for child development, rather than merely pollutants, and (5) combining physical, social indicators with novel effect markers and using new data sources describing child activity patterns and environments.