bluuebunny/crossref_metadata_2025_split huggingface dataset:
Particle acceleration with magnetic reconnection in large-scale RMHD simulations – I. Current sheet identification and characterization
Authors: Nurisso Matteo , Celotti Annalisa , Mignone Andrea , Bodo Gianluigi 
Published: May 2023

ABSTRACT
We present a new algorithm for the identification and physical characterization of current sheets and reconnection sites in 2D and 3D large-scale relativistic magnetohydrodynamic numerical simulations. This has been implemented in the pluto code and tested in the cases of a single current sheet, a 2D jet, and a 3D unstable plasma column. Its main features are (i) a computational cost that allows its use in large-scale simulations and (ii) the capability to deal with complex 2D and 3D structures of the reconnection sites. In the performed simulations, we identify the computational cells that are part of a current sheet by a measure of the gradient of the magnetic field along different directions. Lagrangian particles, which follow the fluid, are used to sample plasma parameters before entering the reconnection sites that form during the evolution of the different configurations considered. Specifically, we track the distributions of the magnetization parameter σ and the thermal to magnetic pressure ratio β that – according to particle-in-cell simulation results – control the properties of particle acceleration in magnetic reconnection regions. Despite the fact that initial conditions of the simulations were not chosen ‘ad hoc’, the 3D simulation returns results suitable for efficient particle acceleration and realistic non-thermal particle distributions.
Instabilities in dusty non-isothermal protoplanetary discs
Authors: Lehmann Marius , Lin Min-Kai 
Published: May 2023

ABSTRACT
Protoplanetary discs (PPDs) can host a number of instabilities that may partake directly or indirectly in the process of planetesimal formation. These include the vertical shear instability (VSI), convective overstability (COS), streaming instability (SI), and dust settling instability (DSI), to name a few. Notably, the VSI and COS have mostly been studied in purely gaseous discs, while the SI and DSI have only been analysed in isothermal discs. How these instabilities operate under more general conditions is therefore unclear. To this end, we devise a local model of a PPD describing a non-isothermal gas interacting with a single species of dust via drag forces. Using this, we find that dust drag sets minimum length-scales below which the VSI and COS are suppressed. Similarly, we find that the SI can be suppressed on sufficiently small scales by the gas’ radial buoyancy if it cools on roughly a dynamical time-scale. We show that the DSI can be effectively stabilized by vertical buoyancy, except at special radial and vertical length-scales. We also find novel instabilities unique to a dusty, non-isothermal gas. These result in a dusty analogue of the COS that operates in slowly cooled discs, and a dusty version of the VSI that is strongly enhanced by dust settling. We briefly discuss the possible implications of our results on planetesimal formation.
The odd bunch: chrono-chemo-dynamics of sixteen unusual stars from Kepler
Authors: Alencastro Puls Arthur , Casagrande Luca , Monty Stephanie , Yong David , Liu Fan , Stello Dennis , Lund Mikkel N 
Published: May 2023

ABSTRACT
In this study we combine asteroseismic, spectroscopic, and kinematic information to perform a detailed analysis of a sample of 16 stars from the Kepler field. Our selection focuses on stars that appear to contradict Galactic chemical evolution models: young and α-rich, old and metal-rich, as well as other targets with unclear classification in past surveys. Kinematics are derived from Gaia DR3 parallaxes and proper motions, and high-resolution spectra from HIRES/Keck are used to calculate chemical abundances for over 20 elements. This information is used to perform careful checks on asteroseismic masses and ages derived via grid-based modelling. Among the seven stars previously classified as young and α-rich, only one seems to be an unambiguously older object masking its true age. We confirm the existence of two very old (≥11 Gyr), super metal-rich (≥0.1 dex) giants. These two stars have regular thin disc chemistry and in-plane solar circle orbits that fit well in the picture of radial migration via the churning mechanism. The alternative explanation that these stars have younger ages would require mass-loss rates that strongly increase with increasing metallicity. Finally, we suggest further investigations to explore the suitability of Zn as a chemical clock in red giants.
Chemistry of NH2OH and its related species in the ISM
Authors: Zhao Guoming , He Mingwei , Quan Donghui , Li Dalei , Yang Xue , Chang Qiang , Ma Ming-Shuo , Qu Minglei 
Published: May 2023

ABSTRACT
Hydroxylamine (NH2OH) is a key precursor of both the formation of amino acids and the concurrent synthesis of pyrimidine and purine nucleosides. Recently, NH2OH was detected towards the quiescent molecular cloud G+0.693-0.027, which is located in the Galactic Centre. In this study, we construct the chemical network for NH2OH and its related species via quantum chemical calculations, and simulate their chemistry using the astrochemical code Nautilus in isothermal models and shock models. According to the disagreement distance formula and molecular abundance ratios, we acquire the best-fitting isothermal model T18 and the best-fitting C-shock model S2, respectively. Of these two models, S2 is more suitable for G+0.693-0.027 due to its reproduction of abundances of all considered molecules. From the model, we found that NH2OH and CH3NH2 are mainly formed on grain surfaces, while HNCN and CH2NH, which are the post-shock tracers, are produced by both gas-phase and grain-surface reactions. Our chemical modelling also agrees with the observed abundances or upper limits of NH2OH and its related species towards IRAS 16293-2422 B and Sgr B2(N). Moreover, we predict that NH2OH and the undiscovered species H2NO and HNOH are of high abundance, thus are detectable in cold clouds and pre-stellar cores, and in G+0.693-0.027, respectively.
Body image and dietary habits in adolescents: a systematic review
Authors: Bodega Patricia , de Cos-Gandoy Amaya , Fernández-Alvira Juan M , Fernández-Jiménez Rodrigo , Moreno Luis A , Santos-Beneit Gloria 
Published: May 2023

AbstractContextAdolescence is a critical developmental stage in which increasing concerns about body image (BI) coincide with the consolidation of dietary habits (DHs). Multiple studies have sought robust associations between BI and DHs to prevent unhealthy behaviors.ObjectiveThe aim of this systematic review was to examine the available literature on the association between BI perception (BIP) and/or satisfaction (BIS) and DHs in adolescents.Data SourcesA search was carried out of 5 electronic databases (PubMed, SciELO, Cochrane, Embase, and PsycInfo) using a combination of keywords (and synonyms) related to adolescence, BI, and diet.Data ExtractionData screening, extraction, and quality assessment were performed independently by 2 investigators using the PRISMA and AXIS guidelines.Data AnalysisOf 2496 articles screened, 30 articles, published in English or Spanish, that evaluated the relationship between BI and DHs in adolescents aged between 10 years and 18 years, were included. A relationship between accurate BI perception in adolescents and healthy DHs was reported in 5 articles (16.2%). A relationship between overestimation of body weight in adolescents and healthy DHs was reported in 4 articles (13.3%). A relationship between underestimation of body weight and unhealthy DHs was reported in 8 articles (26.7%). In addition, 4 articles (13.3%) reported a relationship between BIS and healthy DHs. The desire to gain weight was associated with unhealthy DHs in 3 (10%) of the articles, while the desire to lose weight was related to healthy DHs in 3 (10%) of the articles and to unhealthy DHs in 3 (10%) other articles. There were also gender differences in the relationship between BIP or BIS and DHs.ConclusionAdolescents who underestimate their body weight tend to report less healthy DHs than body weight overestimators. Adolescents unsatisfied with their BI and with a drive for thinness frequently engage in DHs linked to losing weight.Systematic Review RegistrationPROSPERO registration no. CRD42020184625.
Efficacy of psychological interventions for dysmenorrhea: a meta-analysis
Authors: Rogers Sarah K , Galloway Amanda , Hirsh Adam T , Zapolski Tamika , Chen Chen X , Rand Kevin L 
Published: May 2023

AbstractDysmenorrhea is pelvic pain associated with menstruation and is one of the most common pain conditions among reproductive-age women. It is commonly treated with medications, complementary and alternative medicine, and self-management techniques. However, there is increased focus on psychological interventions which modify thoughts, beliefs, emotions, and behavioral responses to dysmenorrhea. This review examined the efficacy of psychological interventions on dysmenorrhea pain severity and interference. We conducted a systematic search of the literature using PsycINFO, PubMed, CINHAL, and Embase. A total of 22 studies were included; 21 examined within-group improvement (ie, within-group analysis) and 14 examined between-group improvement (ie, between-group analysis). Random-effects meta-analyses were conducted on pain severity and interference, with average effect sizes calculated using Hedges’s g. Within-group analyses showed decreased pain severity and interference at post-treatment (g = 0.986 and 0.949, respectively) and first follow-up (g = 1.239 and 0.842, respectively). Between-group analyses showed decreased pain severity at post-treatment (g = 0.909) and decreased pain severity and interference at first follow-up (g = 0.964 and 0.884, respectively) compared to control groups. This review supports the efficacy of psychological interventions for dysmenorrhea, but conclusions are tempered by suboptimal methodological quality of the included studies and high heterogeneity across studies. Additional, rigorous research is needed to determine the clinical utility of psychological interventions for dysmenorrhea.
Can leaf drought tolerance predict species abundance and its changes in tropical-subtropical forests?
Authors: Song Hui-Qing , Wang Yong-Qiang , Yan Chao-Long , Zeng Wen-Hao , Chen Ya-Jun , Zhang Jiao-Lin , Liu Hui , Zhang Qian-Mei , Zhu Shi-Dan 
Published: May 2023

AbstractClimate change has resulted in an increase in drought severity in the species-rich tropical and subtropical forests of southern China. Exploring the spatiotemporal relationship between drought-tolerance trait and tree abundance provides a means to elucidate the impact of droughts on community assembly and dynamics. In this study, we measured the leaf turgor loss point (πtlp) for 399 tree species from three tropical forest plots and three subtropical forest plots. The plot area was 1 ha and tree abundance was calculated as total basal area per hectare according to the nearest community census data. The first aim of this study was to explore πtlp abundance relationships in the six plots across a range of precipitation seasonality. Additionally, three of the six plots (two tropical forests and one subtropical forest) had consecutive community censuses data (12–22 years) and the mortality ratios and abundance year slope of tree species were analyzed. The second aim was to examine whether πtlp is a predictor of tree mortality and abundance changes. Our results showed that tree species with lower (more negative) πtlp were more abundant in the tropical forests with relative high seasonality. However, πtlp was not related to tree abundance in the subtropical forests with low seasonality. Moreover, πtlp was not a good predictor of tree mortality and abundance changes in both humid and dry forests. This study reveals the restricted role of πtlp in predicting the response of forests to increasing droughts under climate change.
Best Practice Alerts Informed by Inpatient Opioid Intake to Reduce Opioid Prescribing after Surgery (PRIOR): A Cluster Randomized Multiple Crossover Trial
Authors: Rolfzen Megan L. , Wick Abraham , Mascha Edward J. , Shah Karan , Krause Martin , Fernandez-Bustamante Ana , Kutner Jean S. , Ho P. Michael , Sessler Daniel I. , Bartels Karsten 
Published: May 2023

Background
Overprescription of opioids after surgery remains common. Residual and unnecessarily prescribed opioids can provide a reservoir for nonmedical use. This study therefore tested the hypothesis that a decision-support tool embedded in electronic health records guides clinicians to prescribe fewer opioids at discharge after inpatient surgery.

Methods
This study included 21,689 surgical inpatient discharges in a cluster randomized multiple crossover trial from July 2020 to June 2021 in four Colorado hospitals. Hospital-level clusters were randomized to alternating 8-week periods during which an electronic decision-support tool recommended tailored discharge opioid prescriptions based on previous inpatient opioid intake. During active alert periods, the alert was displayed to clinicians when the proposed opioid prescription exceeded recommended amounts. No alerts were displayed during inactive periods. Carryover effects were mitigated by including 4-week washout periods. The primary outcome was oral morphine milligram equivalents prescribed at discharge. Secondary outcomes included combination opioid and nonopioid prescriptions and additional opioid prescriptions until day 28 after discharge. A vigorous state-wide opioid education and awareness campaign was in place during the trial.

Results
The total postdischarge opioid prescription was a median [quartile 1, quartile 3] of 75 [0, 225] oral morphine milligram equivalents among 11,003 patients discharged when the alerts were active and 100 [0, 225] morphine milligram equivalents in 10,686 patients when the alerts were inactive, with an estimated ratio of geometric means of 0.95 (95% CI, 0.80 to 1.13; P = 0.586). The alert was displayed in 28% (3,074 of 11,003) of the discharges during the active alert period. There was no relationship between the alert and prescribed opioid and nonopioid combination medications or additional opioid prescriptions written after discharge.

Conclusions
A decision-support tool incorporated into electronic medical records did not reduce discharge opioid prescribing for postoperative patients in the context of vigorous opioid education and awareness efforts. Opioid prescribing alerts might yet be valuable in other contexts.(Anesthesiology 2023; 139:186–96)

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A Wireless, Wearable Carotid Doppler Ultrasound Aids Diagnosis and Monitoring of Pericardial Tamponade: A Case Report
Authors: Prager Ross , Pratte Michael , Kenny Jon-Emile , Rola Philippe 
Published: May 2023

BACKGROUND:
Pericardial tamponade can often be diagnosed through clinical findings and echocardiography; however, the diagnosis can be aided by demonstrating the hemodynamic consequences of the effusion. We describe the use of a wearable carotid Doppler device to help diagnose and monitor pericardial tamponade.

CASE SUMMARY:
A 54-year-old man developed hypotension after an endobronchial biopsy for a lung mass. Echocardiography showed a pericardial effusion with sonographic evidence of tamponade. A wearable carotid Doppler device demonstrated low corrected carotid flow time (CFT) (a surrogate for stroke volume) with significant respiratory variation, supporting the diagnosis of tamponade. The patient underwent pericardiocentesis which revealed purulent pericardial fluid from a mediastinal abscess. After drainage there was increased CFT and reduced respiratory variability in Doppler, surrogates of improved stroke volume.

CONCLUSION:
A wearable carotid Doppler device is a noninvasive tool that can help determine the hemodynamic impact of a pericardial effusion, and potentially aid in the diagnosis of pericardial tamponade.
Domain-based multi-domain protein and complex structure prediction using inter-domain interactions from deep learning
Authors: Xia Yuhao , Zhao Kailong , Liu Dong , Zhou Xiaogen , Zhang Guijun 
Published: May 2023

AbstractAccurately capturing domain-domain interactions is key to understanding protein function and designing structure-based drugs. Although AlphaFold2 has made a breakthrough on single domain, it should be noted that the structure modeling for multi-domain protein and complex remains a challenge. In this study, we developed a multi-domain and complex structure assembly protocol, named DeepAssembly, based on domain segmentation and single domain modeling algorithms. Firstly, DeepAssembly uses a population-based evolutionary algorithm to assemble multi-domain proteins by inter-domain interactions inferred from a developed deep learning network. Secondly, protein complexes are assembled by means of domains rather than chains using DeepAssembly. Experimental results show that on 219 multi-domain proteins, the average inter-domain distance precision by DeepAssembly is 22.7% higher than that of AlphaFold2. Moreover, DeepAssembly improves accuracy by 11.8% for 164 multi-domain structures with low confidence deposited in AlphaFold database. We apply DeepAssembly for the prediction of 247 heterodimers. We find that DeepAssembly generates models with acceptable quality (DockQ ≥ 0.23) for 32.4% of the dimers, suggesting a lighter way to assemble complex structures by treating domains as assembly units and using inter-domain interactions learned from monomer structures.
Reducing Motor Variability Enhances Myoelectric Control Robustness Across Limb Positions
Authors: Stuttaford Simon A. , Dyson Matthew , Nazarpour Kianoush , Dupan Sigrid S. G. 
Published: May 2023

AbstractBackgroundThe limb position effect is a multi-faceted problem, associated with decreased upper-limb prosthesis control acuity following a change in arm position. The many factors contributing to this problem can arise from distinct environmental or physiological sources. Despite their differences in origin, the effect of each factor manifests similarly as increased variability in the detected control signal. This variability can cause incorrect decoding of user intent, leading to dropped items or inability to use the prosthesis during activities of daily living. The general approach of previous research has attempted to limit the impact of the factors or better capture the variability with data abundance. In this paper we take an alternative approach and investigate the effect of reducing the variability of the control signal by improving the consistency of muscle activity with user training.MethodsParticipants underwent 4 days of myoelectric training with either concurrent or delayed feedback in a single arm position. During this time, they were trained to control a two-dimensional cursor using muscles in the forearm. At the end of training participants underwent a zero feedback retention test in multiple limb positions. In doing so, we tested how well the skill learned in a single limb position generalized to untrained positions.ResultsWe found that delayed feedback training led to more consistent muscle activity across both the trained and untrained limb positions. Analysis of patterns of activation in the delayed feedback group suggest a structured change in muscle activity occurs across arm positions. The structured changes allowed us to quantify the limb position effect by comparing trained to untrained arm positions. Different limb positions changed mean ECR and FCR muscle activity in the range of -4.3% to +18.7%. All participants were able to counter the limb position effect if given concurrent feedback, confirming our results align with existing findings.ConclusionsOur results demonstrate that myoelectric user-training can lead to the retention of motor skills that are more robust to limb position changes. This work highlights the importance of reducing motor variability with practice, prior to examining the underlying structure of muscle changes associated with limb position. These findings will be useful for the majority of myoelectric prosthesis control systems and will create better quality input data leading to more robust machine-learning based prosthesis control systems.
Widespread sex-dimorphism across single-cell transcriptomes of adult African turquoise killifish tissues
Authors: Teefy Bryan B. , Lemus Aaron J.J. , Adler Ari , Xu Alan , Bhala Rajyk , Hsu Katelyn , Benayoun Bérénice A. 
Published: May 2023

AbstractThe African turquoise killifish (Nothobranchius furzeri), the shortest-lived vertebrate that can be bred in captivity, is an emerging model organism to study vertebrate aging. Here we describe the first multi-tissue, single-cell gene expression atlas of female and male turquoise killifish tissues comprising immune and metabolic cells from the blood, kidney, liver, and spleen. We were able to annotate 22 distinct cell types, define associated marker genes, and infer differentiation trajectories. Using this dataset, we found pervasive sex-dimorphic gene expression across cell types, especially in the liver. Sex-dimorphic genes tended to be involved in processes related to lipid metabolism, and indeed, we observed clear differences in lipid storage in femalevs. male turquoise killifish livers. Importantly, we use machine-learning to predict sex using single-cell gene expression in our atlas and identify potential transcriptional markers for molecular sex identity in this species. As proof-of-principle, we show that our atlas can be used to deconvolute existing liver bulk RNA-seq data in this species to obtain accurate estimates of cell type proportions across biological conditions. We believe that this single-cell atlas can be a resource to the community that could notably be leveraged to identify cell type-specific genes for cell type-specific expression in transgenic animals.