bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parametric description of intermittent probability distribution functions in solar wind and magnetohydrodynamic turbulence
Authors: Palacios Juan C , Perez Jean C , Bourouaine Sofiane 
Published: April 2024

ABSTRACT
In this work, we find empirical evidence that the scale-dependent statistical properties of solar wind and magnetohydrodynamic (MHD) turbulence can be described in terms of a family of parametric probability distribution functions (PDFs) known as Normal Inverse Gaussian (NIG). Understanding these PDFs is one of the most important goals in turbulence theory, as they are inherently connected to the intermittent properties of solar wind turbulence. We investigate the properties of PDFs of Elsasser increments based on a large statistical sample from solar wind observations and high-resolution numerical simulations of MHD turbulence. In order to measure the PDFs and their corresponding properties, three experiments are presented: fast and slow solar wind for experimental data and a simulation of reduced MHD (RMHD) turbulence. Conditional statistics on a 23-yr-long sample of WIND data near 1 au and high-resolution pseudo-spectral simulation of steadily driven RMHD turbulence on a $2048^3$ mesh are used to construct scale-dependent PDFs. The empirical PDFs are fitted to NIG distributions, which depend on four free parameters. Our analysis shows that NIG distributions accurately capture the evolution of the PDFs, with scale-dependent parameters, from large scales characterized by a Gaussian distribution, turning to exponential tails within the inertial range and stretched exponentials at dissipative scales. We also show that empirically-measured NIG parameters exhibit well-defined scaling properties that are similar across the three empirical data sets, which may be indicative of universal behaviour.
Dynamical instabilities in post-disc evolution: hot Jupiters left isolated
Authors: He Ying , Wu Dong-Hong , Jin Sheng 
Published: April 2024

ABSTRACT
The predominant formation channel of hot Jupiters remains a puzzle in exoplanet science. One potential way to distinguish the different mechanisms is to study the characteristics of close-in companions to hot Jupiters. In this study, our main focus is to investigate the post-disc evolution of planetary systems initially composed of one Jupiter and several super-Earths through numerical N-body simulations spanning a period of 107 yr. By tracing the evolution of each planetary system, we find that only 5.6 per cent of the systems remain stable. Dynamical instabilities are more prevalent in systems with less massive super-Earths and those containing hot Jupiters. Our findings uncover a positive correlation between the presence of close-in companions and the orbital periods of the giant planets. Specifically, we find that approximately 10.9 ± 1.9 per cent of hot Jupiters and 36.4 ± 1.8 per cent of warm Jupiters have close-in companions after 107 yr. Moreover, extending the integration time to 108 yr reveals that only 1.4 ± 1.0 per cent of hot Jupiters and 20.3 ± 2.2 per cent of warm Jupiters host close-in companions. We also investigate the effects of general relativistic, tidal dissipation, and initial spacing between Jupiters and their neighbouring planets on the frequency of close-in companions for these short-period Jupiters. Our simulations suggest that the general relativity effect plays a crucial role in contributing to the isolation of hot Jupiters. Furthermore, we observe that the more compact the planetary systems are initially, the less likely it is for Jupiters to host close-in companions.
Elucidating the impact of massive neutrinos on halo assembly bias
Authors: Song Yunjia , Zu Ying 
Published: April 2024

ABSTRACT
Massive neutrinos have non-negligible impact on the formation of large-scale structures. We investigate the impact of massive neutrinos on the halo assembly bias effect, measured by the relative halo bias $\hat{b}$ as a function of the curvature of the initial density peak $\hat{s}$, neutrino excess ϵν, or halo concentration $\hat{c}$, using a large suite of ΣMν = 0.0 and 0.4 eV simulations with the same initial conditions. By tracing dark matter haloes back to their initial density peaks, we construct a catalogue of halo ‘twins’ that collapsed from the same peaks but evolved separately with and without massive neutrinos, thereby isolating any effect of neutrinos on halo formation. We detect a 2 per cent weakening of the halo assembly bias as measured by $\hat{b}(\epsilon _\nu)$ in the presence of massive neutrinos. As there exists a significant correlation between $\hat{s}$ and ϵν (rcc = 0.319), the impact of neutrinos persists at a reduced level (0.1 per cent) in the halo assembly bias measured by $\hat{b}(\hat{s})$. However, we do not detect any neutrino-induced impact on $\hat{b}(\hat{c})$, consistent with earlier studies and the lack of correlation between $\hat{c}$ and ϵν (rcc = 0.087). We also discover an analogous assembly bias effect for the ‘neutrino haloes’, whose concentrations are anticorrelated with the large-scale clustering of neutrinos.
Dust–dust collisions in cometary comas: applications to comet 67P/Churyumov–Gerasimenko
Authors: Planes María Belén , Parisi M Gabriela , Millán Emmanuel N , Bringa Eduardo M , Cañada-Assandri Marcela 
Published: April 2024

ABSTRACT
Silica has emerged as a crucial component within inner comet comas. This work investigates silica dust aggregates and their interactions within cometary comas. We study the probability that aggregates in the size range 1–100 µm collide with each other in the coma and analyse the outcomes of such collisions by using the ‘Collision of Porous Aggregates’ (cpa) Software, which incorporates mass, size, and porosity evolution of the dust population. Beginning with assumed initial distributions and physical properties for silica aggregates at the comet nucleus, we compute their collisional evolution from when they depart the nucleus until they traverse the coma. Using data of dust particles observed in the coma of comet 67P/Churyumov–Gerasimenko, we demonstrate that dust–dust collisions in cometary comas cannot be neglected. Our analysis yields final distributions in terms of mass, size, and porosity. To validate our findings, we compare them with in situ measurements of 67P/Churyumov–Gerasimenko collected by the COSIMA (COmetary Secondary Ion Mass Analyser) instrument of the Rosetta mission. Our investigation reveals a notable agreement between our derived size distributions and the data acquired by COSIMA within the same size range. This study may be applied to any comet that presents a similar dust production as it approaches the Sun. The insights of this work may contribute to estimating other dust properties such as strength, absorption, reflectivity, and thermal conductivity and highlight the importance of considering dust–dust collisions when studying cometary comas and their evolution.
On the properties and implications of collapse-driven MHD turbulence
Authors: Vázquez-Semadeni Enrique , Hu Yue , Xu Siyao , Guerrero-Gamboa Rubén , Lazarian Alex 
Published: April 2024

ABSTRACT
We investigate the driving of MHD turbulence by gravitational contraction using simulations of an initially spherical, isothermal, magnetically supercritical molecular cloud core with transonic and trans-Alfvénic turbulence. We perform a Helmholtz decomposition of the velocity field, and investigate the evolution of its solenoidal and compressible parts, as well as of the velocity component along the gravitational acceleration vector, a proxy for the infall component of the velocity field. We find that (1) In spite of being supercritical, the core first contracts to a sheet perpendicular to the mean magnetic field, and the sheet itself collapses. (2) The solenoidal component of the turbulence remains at roughly its initial level throughout the simulation, while the compressible component increases continuously, implying that turbulence does not dissipate towards the centre of the core. (3) The distribution of simulation cells in the B–ρ plane occupies a wide triangular region at low densities, bounded below by the expected trend for fast MHD waves (B ∝ ρ, applicable for high-local Alfvénic Mach number MA) and above by the trend expected for slow waves (B ∼ constant, applicable for low local MA). At high densities, the distribution follows a single trend $B \propto \rho ^{\gamma _{\rm eff}}$, with 1/2 &lt; γeff &lt; 2/3, as expected for gravitational compression. (4) The mass-to-magnetic flux ratio λ increases with radius r due to the different scalings of the mass and magnetic flux with r. At a fixed radius, λ increases with time due to the accretion of material along field lines. (5) The solenoidal energy fraction is much smaller than the total turbulent component, indicating that the collapse drives the turbulence mainly compressibly, even in directions orthogonal to that of the collapse.
Periodic activities of fast radio burst repeaters from precessing magnetars with evolving obliquity
Authors: Feng Xin-Ming , Yang Yuan-Pei , Li Qiao-Chu 
Published: April 2024

ABSTRACT
Fast radio bursts (FRBs) are cosmological radio transients with millisecond durations and extremely high brightness temperatures. One FRB repeater, FRB 180916.J0158+65 (FRB 180916B), was confirmed to appear 16.35-day periodic activities with 5-day activity window. Another FRB repeater, FRB 121102, and two soft gamma-ray repeaters (SGRs), SGR 1935+2154 and SGR 1806−20, also show possible periodic activities. These periodicities might originate from the precession process of young magnetars due to the anisotropic pressure from the inner magnetic fields as proposed in the literature. In this work, we analyse a self-consistent model for the rotation evolution of magnetars and obtain the evolutions of magnetar precession and obliquity. We find that if the FRB repeaters and the SGRs with (possible) periodic activities originate from the magnetar precession, their ages would be constrained to be hundreds to tens of thousands of years, which is consistent with the typical ages of magnetars. Assuming that the FRB emission is beaming in the magnetosphere as proposed in the literature, we calculate the evolution of the observable probability and the duty cycle of the active window period. We find that for a given magnetar the observable probability increases with the magnetar age in the early stage and decreases with the magnetar age in the later stage; meanwhile, there are one or two active windows in one precession period if the emission is not perfectly axisymmetric with respect to the deformation axis of a magnetar, which could be tested by the future observation for repeating FRB sources.
Photometric recalibration of VPHAS+ u-band photometry with the stellar colour regression method and Gaia DR3
Authors: Chen Bing-Qiu , Yuan Hai-Bo , Huang Bo-Wen 
Published: April 2024

ABSTRACT
The u-band magnitude is vital for determining stellar parameters and investigating specific astronomical objects. However, flux calibration in the u band for stars in the Galactic disc presents significant challenges. In this study, we introduce a comprehensive recalibration of u-band photometric magnitudes of the VPHAS+ Data Release 4, employing the stellar colour regression technique. By leveraging the expansive set of XP spectra and GBP photometry from Gaia Data Release 3, as well as the individual stellar extinction values provided by the literature, we have obtained precise model magnitudes of nearly 3 million stars. Our analysis identifies systematic magnitude offsets that exhibit a standard deviation of 0.063 mag across different observational visits, 0.022 mag between various CCDs, and 0.009 mag within pixel bins. We have implemented precise corrections for these observational visits, CCD chips, and pixel bins-dependent magnitude offsets. These corrections have led to a reduction in the standard deviation between the observed magnitudes and the model magnitudes from 0.088 to 0.065 mag, ensuring that the calibrated magnitudes are independent of stellar magnitude, colour, and extinction. The enhanced precision of these magnitudes substantially improves the quality of astrophysical research and offers substantial potential for furthering our understanding of stellar astrophysics.
Impacts of energetic particles from T Tauri flares on inner protoplanetary discs
Authors: Brunn V , Rab Ch , Marcowith A , Sauty C , Padovani M , Meskini C 
Published: April 2024

ABSTRACT
T Tauri stars are known to be magnetically active stars subject to strong flares observed in X-rays. These flares are likely due to intense magnetic reconnection events during which a part of the stored magnetic energy is converted into kinetic energy of supra-thermal particles. Since T Tauri stars are surrounded by an accretion disc, these particles may influence the disc dynamics and chemistry. This work continues on a previous stationary model, which showed that energetic particles accelerated during flares can produce a strong ionization rate at high column densities in the inner accretion disc. The present model includes non-stationary sequences of flaring events sampled by a Chandra X-ray survey of nearby young stellar objects. We calculate the averaged ionization rate expected in a radius range 0.08–0.6 au from the central star. We confirm that energetic particles produced by the flares dominate the ionization of the disc up to column densities of $10^{25}~\rm {cm^{-2}}$. We further study the main consequences of this additional source of ionization on the viscosity, the accretion rate, the volumetric heating rate, and the chemical complexity of inner protoplanetary discs.
Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies
Authors: Thorp Stephen , Mandel Kaisey S , Jones David O , Kirshner Robert P , Challis Peter M 
Published: April 2024

ABSTRACT
We use rest-frame optical and near-infrared (NIR) observations of 42 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project at low-z and 37 from the RAISIN (SNIA in the IR) Survey at high-z to investigate correlations between SN Ia host galaxy dust, host mass, and redshift. This is the first time the SN Ia host galaxy dust extinction law at high-z has been estimated using combined optical and rest-frame NIR data (YJ band). We use the BayeSN hierarchical model to leverage the data’s wide rest-frame wavelength range (extending to ∼1.0–1.2 μm for the RAISIN sample at 0.2 ≲ z ≲ 0.6). By contrasting the RAISIN and Carnegie Supernova Project (CSP) data, we constrain the population distributions of the host dust RV parameter for both redshift ranges. We place a limit on the difference in population mean RV between RAISIN and CSP of −1.16 &lt; Δμ(RV) &lt; 1.38 with 95 per cent posterior probability. For RAISIN we estimate μ(RV) = 2.58 ± 0.57, and constrain the population standard deviation to σ(RV) &lt; 0.90 [2.42] at the 68 [95] per cent level. Given that we are only able to constrain the size of the low- to high-z shift in μ(RV) to ≲1.4 – which could still propagate to a substantial bias in the equation-of-state parameter w – these and other recent results motivate continued effort to obtain rest-frame NIR data at low- and high-redshifts (e.g. using the Roman Space Telescope).
Co-exposure to lead and high-fat diet aggravates systemic inflammation in mice by altering gut microbiota and the LPS/TLR4 pathway
Authors: Wang Nana , Li Changhao , Gao Xue , Huo Yuan , Li Yuting , Cheng Fangru , Jiang Fei , Zhang Zengli 
Published: April 2024

Abstract
This study reports the toxicity of Pb exposure on systemic inflammation in high-fat-diet (HFD) mice and the potential mechanisms. Results indicated that Pb exacerbated intestinal barrier damage and increased serum levels of lipopolysaccharide (LPS) and diamine oxidase in HFD mice. Elevated LPS activates the colonic and ileal LPS–TLR4 inflammatory signaling pathway and further induces hepatic and adipose inflammatory expression. The 16S rRNA gene sequencing results showed that Pb promoted the abundance of potentially harmful and LPS-producing bacteria such as Coriobacteriaceae_UCG-002, Alloprevotella, and Oscillibacter in the intestines of HFD mice, and their abundance was positively correlated with LPS levels. Additionally, Pb inhibited the abundance of the beneficial bacteria Akkermansia, resulting in lower levels of the metabolite short-chain fatty acids (SCFAs). Meanwhile, Pb inhibited adenosine 5′-monophosphate-activated protein kinase signaling-mediated lipid metabolism pathways, promoting hepatic lipid accumulation. The above results suggest that Pb exacerbates systemic inflammation and lipid disorders in HFD mice by altering the gut microbiota, intestinal barrier, and the mediation of metabolites LPS and SCFAs. Our study provides potential novel mechanisms of human health related to Pb-induced metabolic damage and offers new evidence for a comprehensive assessment of Pb risk.
Antimicrobial Resistance, One Health Interventions and the Least Restrictive Alternative Principle
Authors: Fumagalli Davide 
Published: April 2024

Abstract
Antimicrobial resistance (AMR) is increasingly recognised as a threat to human, animal and environmental health. In an effort to counter this threat, several intervention plans have been proposed and implemented by states and organisations such as the WHO. A One Health policy approach, which targets multiple domains (healthcare, animal husbandry and the environment), has been identified as useful for curbing AMR. Johnson and Matlock have recently argued that One Health policies in the AMR context require special ethical justification because of the so-called least restrictive alternative principle. This article analyses and rejects two assumptions that this argument relies on. The first assumption is that One Health policies are generally more restrictive than their alternatives because they target more domains and impact more people. The second assumption is that the least restrictive alternative principle has a special normative importance in that it establishes a systematic presumption in favour of the least restrictive policy options. Once these assumptions are rejected, the use of One Health policies on AMR can be justified more easily than Johnson and Matlock argue.
The H3K4 demethylase JMJ1 is required for proper timing of flowering in Brachypodium distachyon
Authors: Liu Bing , Li Chengzhang , Li Xiang , Wang Jiachen , Xie Wenhao , Woods Daniel P , Li Weiya , Zhu Xiaoyu , Yang Shuoming , Dong Aiwu , Amasino Richard M 
Published: April 2024

Abstract
Flowering is a key developmental transition in the plant life cycle. In temperate climates, flowering often occurs in response to the perception of seasonal cues such as changes in day-length and temperature. However, the mechanisms that have evolved to control the timing of flowering in temperate grasses are not fully understood. We identified a Brachypodium distachyon mutant whose flowering is delayed under inductive long-day conditions due to a mutation in the JMJ1 gene, which encodes a Jumonji domain-containing protein. JMJ1 is a histone demethylase that mainly demethylates H3K4me2 and H3K4me3 in vitro and in vivo. Analysis of the genome-wide distribution of H3K4me1, H3K4me2, and H3K4me3 in wild-type plants by chromatin immunoprecipitation and sequencing combined with RNA sequencing revealed that H3K4m1 and H3K4me3 are positively associated with gene transcript levels, whereas H3K4me2 is negatively correlated with transcript levels. Furthermore, JMJ1 directly binds to the chromatin of the flowering regulator genes VRN1 and ID1 and affects their transcription by modifying their H3K4me2 and H3K4me3 levels. Genetic analyses indicated that JMJ1 promotes flowering by activating VRN1 expression. Our study reveals a role for JMJ1-mediated chromatin modification in the proper timing of flowering in B. distachyon.
The structural basis for light harvesting in organisms producing phycobiliproteins
Authors: Bryant Donald A , Gisriel Christopher J 
Published: April 2024

Abstract
Cyanobacteria, red algae, and cryptophytes produce 2 classes of proteins for light harvesting: water-soluble phycobiliproteins (PBP) and membrane-intrinsic proteins that bind chlorophylls (Chls) and carotenoids. In cyanobacteria, red algae, and glaucophytes, phycobilisomes (PBS) are complexes of brightly colored PBP and linker (assembly) proteins. To date, 6 structural classes of PBS have been described: hemiellipsoidal, block-shaped, hemidiscoidal, bundle-shaped, paddle-shaped, and far-red-light bicylindrical. Two additional antenna complexes containing single types of PBP have also been described. Since 2017, structures have been reported for examples of all of these complexes except bundle-shaped PBS by cryogenic electron microscopy. PBS range in size from about 4.6 to 18 mDa and can include ∼900 polypeptides and bind &gt;2000 chromophores. Cyanobacteria additionally produce membrane-associated proteins of the PsbC/CP43 superfamily of Chl a/b/d-binding proteins, including the iron-stress protein IsiA and other paralogous Chl-binding proteins (CBP) that can form antenna complexes with Photosystem I (PSI) and/or Photosystem II (PSII). Red and cryptophyte algae also produce CBP associated with PSI but which belong to the Chl a/b-binding protein superfamily and which are unrelated to the CBP of cyanobacteria. This review describes recent progress in structure determination for PBS and the Chl proteins of cyanobacteria, red algae, and cryptophytan algae.
Mental health conditions in patients with systemic lupus erythematosus: a systematic review and meta-analysis
Authors: Liu Xiaotong , Jia Xinlei , Wang Xiao , Wei Ya Bin , Liu Jia Jia 
Published: April 2024

Abstract

Objectives
The reported prevalence of mental health conditions (MHCs) in people with systemic lupus erythematosus (SLE) ranges widely. Whether MHCs are associated with increased risk of SLE or the outcomes of the disease is unclear. This study aimed to conduct an umbrella and updated meta-analysis of MHCs in people with SLE and to identify whether MHCs are associated with the risk of SLE or patient outcomes.

Methods
We comprehensively searched PubMed, Web of Science and Embase databases to identify relevant studies published before June 2023. Random-effect models were used to calculate the pooled prevalence and risk ratios (RR) for each MHC.

Results
In total, 203 studies with 1 485 094 individuals were included. The most MHCs observed in patients with SLE were sleep disturbance (59.7% [95% CI, 52.4–66.8%]) among adults and cognitive dysfunction (63.4% [95% CI, 46.9–77.9%]) among children. We found that depressive disorders (RR = 2.30, 95% CI = 1.94–2.75) and posttraumatic stress disorder (RR = 1.93, 95% CI = 1.61–2.31) in the general population were significantly associated with an increased likelihood of developing SLE. Furthermore, concurrent MHCs were linked to unfavourable outcomes in patients with SLE, such as decreased quality of life, increased risk of unemployment and other somatic comorbidities.

Conclusion
Our study demonstrated a high prevalence of MHCs among patients with SLE. Individuals with pre-existing mental disorders exhibited an elevated susceptibility to developing SLE and patients presenting with MHCs were at increased risk of experiencing suboptimal health and functional outcomes. Therefore, evaluating and preventing MHCs should be considered as an integral component of the comprehensive treatment strategy for SLE.