julilili42/papers huggingface dataset:
Modeling disk fragmentation and multiplicity in massive star formation
2020-10-23

Context. There is growing evidence that massive stars grow by disk accretion in a similar way to their low-mass counterparts. Early in evolution, these disks can achieve masses that are comparable to the current stellar mass, and therefore the forming disks are highly susceptible to gravitational fragmentation. Aims. We investigate the formation and early evolution of an accretion disk around a forming massive protostar, focussing on its fragmentation physics. To this end, we follow the collapse of a molecular cloud of gas and dust, the formation of a massive protostar, the formation of its circumstellar disk, and the formation and evolution of the disk fragments. Methods. We used a grid-based, self-gravity radiation hydrodynamics code including a sub-grid module for stellar evolution and dust evolution. We purposely do not use a sub-grid module for fragmentation such as sink particles to allow for all paths of fragment formation and destruction, but instead we keep the spatial grid resolution high enough to properly resolve the physical length scales of the problem, namely the pressure scale height and Jeans length of the disk. Simulations are performed on a grid in spherical coordinates with a logarithmic spacing of the grid cells in the radial direction and a cosine distribution of the grid cells in the polar direction, focusing the spatial resolution on the disk midplane. As a consequence, roughly 25% of the total number of grid cells, corresponding to ~26 million grid cells, are used to model the disk physics. These constitute the highest resolution simulations performed up to now on disk fragmentation around a forming massive star with the physics considered here. For a better understanding of the effects of spatial resolution and to compare our high-resolution results with previous lower resolution studies in the literature, we perform the same simulation at five different resolutions, each run differing in resolution from its predecessor by a factor of two. Results. The cloud collapses and a massive (proto)star is formed in its center surrounded by a fragmenting Keplerian-like accretion disk with spiral arms. The fragments have masses of ~1 M ⊙ , and their continuous interactions with the disk, spiral arms, and other fragments result in eccentric orbits. Fragments form hydrostatic cores surrounded by secondary disks with spiral arms that also produce new fragments. We identified several mechanisms of fragment formation, interaction, and destruction. Central temperatures of the fragments can reach the hydrogen dissociation limit, form second Larson cores, and evolve into companion stars. Based on this, we study the multiplicity predicted by the simulations and find approximately six companions at different distances from the primary: from possible spectroscopic multiples, to companions at distances between 1000 and 2000 au.
Efficacy and Safety of the Combination of Superoxide Dismutase, Alpha Lipoic Acid, Vitamin B12, and Carnitine for 12 Months in Patients with Diabetic Neuropathy
2020-10-23

Aim: To investigate the efficacy of Superoxide Dismutase, Alpha Lipoic Acid, Acetyl L-Carnitine, and Vitamin B12 (B12) in one tablet in Diabetic Neuropathy (DN). Patients–methods: In this prospective, double-blind, placebo-controlled study, 85 patients with Diabetes Mellitus Type 2 (DMT2) were randomly assigned, either to receive the combination of four elements (active group, n = 43), or placebo (n = 42) for 12 months. We used the Michigan Neuropathy Screening Instrument Questionnaire and Examination (MNSIQ and MNSIE), measured the vibration perception threshold (BIO), and Cardiovascular Autonomic Reflex Tests (CARTs). Nerve function was assessed by DPN Check [sural nerve conduction velocity (SNCV) and amplitude (SNAP)]. Pain (PS) and quality of life (QL) questionnaires were administered. Results: At follow-up, BIO, MNSIQ, QL, PAIN, and SNCV, SNAP, and B12 levels had significantly improved inactive group (p &lt; 0.001, p &lt; 0.001, p &lt; 0.001, p &lt; 0.001, p = 0.027, p = 0.031, and p &lt; 0.001 respectively), whereas the inplacebo group MCR (mean circular resultant) and PAIN deteriorated (p &lt; 0.001, p &lt; 0.001). The changes in MNSIQ, QL, SNCV, BIO, and PAIN differed significantly between groups (p &lt; 0.001, p &lt; 0.001, p = 0.031, p &lt; 0.001, and p &lt; 0.001 respectively). Conclusions: The combination of the four elements in one tablet for 12 months in patients with DMT2 improved all indices of peripheral neuropathy, including SNAP and SNCV, pain, and Quality of Life perception, except CARTs and MNSIE.
The Impact of Obesity on Left Ventricular Assist Device Outcomes
2020-10-23

Background and Objectives: The understanding of high body mass index (BMI) and outcomes after Left Ventricular Assist Device (LVAD) implantation continues to evolve and the relationship has not been established yet. In this study, we investigated the effects of obesity (BMI &gt; 30 kg/m2) on post–LVAD implantation outcomes. HeartWare LVAD and Heart Mate III LVAD were implanted. The primary outcome that was measured was mortality (in-hospital and on follow-up). The secondary outcomes that were measured were major adverse events. Materials and Methods: At our institution, the West German Heart and Vascular Center (Essen, Germany), from August 2010 to January 2020, a total of 210 patients received a long-term LVAD. Patients were stratified according to BMI ≥ 30 kg/m2 representing the obesity threshold. The first group (n = 162) had an average BMI of 24.2 kg/m2 (±2.9), and the second group (n = 48) had an average BMI of 33.9 kg/m2 (±3.2). Baseline demographics were analysed alongside comorbidities per group. Results: Overall mortality was not significantly different between the obese group (51.1% n = 24) and the nonobese group (55.2%, n = 85) (p = 0.619). The difference between the mean duration of survival of patients who expired after hospital discharge was insignificant (2.1 years ± 1.6, group 1; 2.6 years ± 1.5, group 2; p = 0.29). In-hospital mortality was unvaried between the two groups: group 1: n = 34 (44% out of overall group 1 deaths); group 2: n = 11 (45.8% out of overall group 2 deaths) (p &gt; 0.05). Postoperative complications were unvaried between the obese and the non-obese group (all with p &gt; 0.05). However, a significant difference was found with regards to follow-up neurological complications (18.5% vs. 37.8%, p = 0.01) and LVAD thrombosis (14.7% vs. 33.3%, p = 0.01), as both were higher in the obese population. Conclusion: Obesity does not form a barrier for LVAD implantation in terms of mortality (in-hospital and on follow up). However, a significantly higher incidence of follow-up LVAD thrombosis and neurological complications has been found in the obese group of patients.
Thinking Outside the Box at Open-Air Archeological Contexts: Examples From Loess Landscapes in Southeast Romania
2020-10-23

Stratified, well preserved sites preserving unambiguous geological and archeological data from which human-environmental interactions can be reconstructed, are rare. More commonly we must test our hypotheses based on extrapolation of the few available sites, particularly in regions with high sedimentation rates. Here we test the idea of aggregating “off-sites”—human traces which provide isolated evidence of activity in an area—to maximize the information which can meaningfully be extracted from Paleolithic open-air contexts. We present two case studies from the sediment-rich loess steppe of southeast Romania, Lipniţa and Dealul Peşterica. Both off-sites preserve low density, undiagnostic lithic assemblages which may otherwise be overlooked in favor of more impressive sites. We constrain the timing of occupation at these two localities to c. 61 and 34–41 ka at Lipniţa and Dealul Peşterica, and show that people were present near a river bank and on loess slopes respectively. Aggregation of data from the region suggests repeated visitation of riverine landscapes; additionally people likely ranged across landforms, particularly where raw material for making stone tools was plentiful. Our case studies demonstrate that empirical, incremental findings may still be generated from sites traditionally thought to be of little value. We argue that this approach is highly applicable to investigating the human implications for landscape context from archeological traces in sediment-rich, open-air situations.
Rapid and precise delivery of cells in the urethral sphincter complex by a novel needle‐free waterjet technology
2020-10-23

Objectives To investigate the therapy of stress urinary incontinence in a preclinical setting cells were injected into the urethrae of minipigs; however, cells injected by William’s needle were frequently misplaced or lost; thus, we investigated if needle‐free cell injections using a novel waterjet technology facilitates precise injections in the urethral sphincter complex. Materials and Methods Porcine adipose tissue‐derived stromal cells (pADSCs) were isolated from boars, expanded, labelled, and injected in the sphincter of female pigs by waterjet employing two different protocols. After incubation for 15 min or 3 days, the urethrae of the pigs were examined. Injected cells were visualised by imaging and fluorescence microscopy of tissue sections. DNA of injected male cells was verified by polymerase chain reaction (PCR) of the sex‐determining region (SRY) gene. Cell injections by William’s needle served as controls. Results The new waterjet technology delivered pADSCs faster and with better on‐site precision than the needle injections. Bleeding during or after waterjet injection or other adverse effects, such as swelling or urinary retention, were not observed. Morphologically intact pADSCs were detected in the urethrae of all pigs treated by waterjet. SRY‐PCR of chromosomal DNA and detection of recombinant green fluorescent protein verified the injection of viable cells. In contrast, three of four pigs injected by William’s needle displayed no or misplaced cells. Conclusion Transurethral injection of viable pADSCs by waterjet is a simple, fast, precise, and yet gentle new technology. This is the first proof‐of‐principle concept study providing evidence that a waterjet injects intact cells exactly in the tissue targeted in a preclinical in vivo situation. To further explore the clinical potential of the waterjet technology longer follow‐up, as well as incontinence models have to be studied.
SARS-CoV-2 infects cells of the human exocrine and endocrine pancreas and interferes with beta-cell function
2020-10-23

Abstract Preexisting diabetes increases the risk of a severe course of the pandemic coronavirus disease 2019 (COVID-19). Vice versa, exacerbations of a preexisting diabetes as well as new-onset diabetes have been reported upon SARS-CoV-2 infection. Thus, there is an imperative need to clarify whether human pancreatic endocrine cells organized within an islet of Langerhans are permissive for and affected by SARS-CoV-2 infection, and to elucidate the mechanisms underlying the development of diabetes upon COVID-19. Here, we (i) defined ACE2 and TMPRSS2 expression patterns in human pancreatic endocrine and exocrine cell types, (ii) employed human pancreatic islet cultures to demonstrate susceptibility to SARS-CoV-2 infection and to viral replication in β-cells, (iii) showed that SARS-CoV-2 attenuates glucose-stimulated insulin secretion, and (iv) tested remdesivir as eventually effective to prevent β-cell failure. In addition, we (v) visualized viral particles replicating in endocrine pancreatic cells and define their subcellular localization patterns via transmission electron microscopy, and finally (vi) present examples of cell type specific pancreatic infection patterns of COVID-19 deceased patients. Overall, our data demonstrate that SARS-CoV-2 can infect both the exocrine and endocrine compartments of the pancreas and can perturb β-cell integrity, which might lead to an increased risk for diabetes.
Duration and intensity of rainfall events with the same erosivity change sediment yield and runoff rates
2020-10-24

The effect of different rainfall patterns on surface runoff, infiltration and thus soil losses and sediment concentrations are still in the focus of current research. In most simulated rainfall experiments, precipitation is applied at a fixed intensity for a fixed time. However, the impact of rainfall patterns on soil erosion processes may be different varying the rainfall duration and intensity that produces an event with similar rainfall erosivity values. Twenty-five rainfall events were applied on micro-scale runoff plots in a soil covered with corn straw to evaluate the sediment yield and runoff rates. The different rainfall types were composed by association of duration (Dur) and intensity (IP) with the same erosivity value. The Dur varied from 38 to 106 min and the IP varied from 75.0 to 44.6 mm h-1. The sediment yield varied from 1.89 ± 1.26 g m-2 to 4.02 ± 2.66 g m-2 and runoff ranged from 16.9 ± 8.74 mm to 32.63 ± 10.67 mm with highest rates occurring with high intensity and low duration. The highest rainfall intensity provides the maximum sediment yield (0.138 g m-2 min-1) and runoff rates (0.87 mm min-1). The time to start surface runoff varied from 14 to 19.2 min and it was longer in treatments with longer durations and low precipitation intensity. No difference was found in the amount of sediments applying rain with the same erosivity and different associations of duration and intensity. However, the intensity and duration of the rain, with the same erosivity, altered the amount and time of runoff. In rainfall experiments with constant intensity and fixed time, the erosion rates depend on the duration of the applied rain. Therefore, the results of this study can contribute to the development of new perspectives in the design of water erosion experiments with simulated rain considering the duration, intensity and also the association of these variables to produce rainfall that delivery the same soil erosion capacity.
Associations between parent-reported and objectively measured sleep duration and timing in infants at age 6 months
2020-10-24

Abstract Study Objectives To compare the estimates of sleep duration and timing from survey, diary, and actigraphy in infants at age 6 months, overall and by select demographics and other factors. Methods In total, 314 infants participating in the Rise &amp; SHINE (Sleep Health in Infancy &amp; Early Childhood study) cohort in Boston, MA, USA, wore an actigraph on their left ankle for 7 days. Parents concurrently completed a sleep diary and the expanded version of the Brief Infant Sleep Questionnaire. Concordance between parent-reported and objective sleep estimates was assessed using Bland–Altman plots, Spearman’s rank correlations, intraclass correlations, and linear regression models. Results Mean infant age was 6.4 (0.6 SD) months; 51% were female and 42% were Non-Hispanic white. Mean total sleep duration using actigraphy was 526 (67 SD) minutes per night, 143 (42 SD) minutes per day, and 460 (100 SD) minutes during the longest nighttime sleep period. Relative to actigraphy, parent-completed survey and diary overestimated total day (by 29 and 31 minutes, respectively) and night sleep duration (67 and 43 minutes, respectively) and underestimated the longest sleep (58 minutes), with the highest agreement for sleep onset and offset timing (differences &amp;lt; 30 minutes). There was a tendency toward greater bias among short- and long-sleeping infants. Self-reporting bias for diary-measured longest nighttime sleep and total night sleep duration was higher in infants of parents reporting a problem with their baby’s night awakenings and in low-income families, respectively. Conclusions Our findings underscore the need to be cautious when comparing findings across studies using different sleep assessment methods.
Human β‐defensin‐2 suppresses key features of asthma in murine models of allergic airways disease
2020-10-24

Abstract Background Asthma is an airway inflammatory disease and a major health problem worldwide. Anti‐inflammatory steroids and bronchodilators are the gold‐standard therapy for asthma. However, they do not prevent the development of the disease, and critically, a subset of asthmatics are resistant to steroid therapy. Objective To elucidate the therapeutic potential of human β‐defensins (hBD), such as hBD2 mild to moderate and severe asthma. Methods We investigated the role of hBD2 in a steroid‐sensitive, house dust mite‐induced allergic airways disease (AAD) model and a steroid‐insensitive model combining ovalbumin‐induced AAD with C muridarum (Cmu) respiratory infection. Results In both models, we demonstrated that therapeutic intranasal application of hBD2 significantly reduced the influx of inflammatory cells into the bronchoalveolar lavage fluid. Furthermore, key type 2 asthma‐related cytokines IL‐9 and IL‐13, as well as additional immunomodulating cytokines, were significantly decreased after administration of hBD2 in the steroid‐sensitive model. The suppression of inflammation was associated with improvements in airway physiology and treatment also suppressed airway hyper‐responsiveness (AHR) in terms of airway resistance and compliance to methacholine challenge. Conclusions and Clinical relevance These data indicate that hBD2 reduces the hallmark features and has potential as a new therapeutic agent in allergic and especially steroid‐resistant asthma.
Distilling Location Proposals of Unknown Objects through Gaze Information for Human-Robot Interaction
2020-10-24

Successful and meaningful human-robot interaction requires robots to have knowledge about the interaction context - e.g., which objects should be interacted with. Unfortunately, the corpora of interactive objects is - for all practical purposes - infinite. This fact hinders the deployment of robots with pre-trained object-detection neural networks other than in pre-defined scenarios. A more flexible alternative to pre-training is to let a human teach the robot about new objects after deployment. However, doing so manually presents significant usability issues as the user must manipulate the object and communicate the object's boundaries to the robot. In this work, we propose streamlining this process by using automatic object location proposal methods in combination with human gaze to distill pertinent object location proposals. Experiments show that the proposed method 1) increased the precision by a factor of approximately 21 compared to location proposal alone, 2) is able to locate objects sufficiently similar to a state-of-the-art pre-trained deep-learning method (FCOS) without any training, and 3) detected objects that were completely missed by FCOS. Furthermore, the method is able to locate objects for which FCOS was not trained on, which are undetectable for FCOS by definition.
SLy2‐deficiency promotes B‐1 cell immunity and triggers enhanced production of IgM and IgG2 antibodies against pneumococcal vaccine
2020-10-24

Abstract Background Despite the benefits of existing vaccines, Streptococcus pneumoniae is still responsible for the greatest proportion of respiratory tract infections around the globe, thereby substantially contributing to morbidity and mortality in humans. B‐1 cells are key players of bacterial clearance during pneumococcal infection and even provide long‐lasting immunity towards S. pneumoniae . Previous reports strongly suggest an essential role of the immunoinhibitory adapter Src homology domain 3 lymphocyte protein 2 (SLy2) for B‐1 cell‐mediated antibody production. The objective of this study is to evaluate S. pneumoniae ‐directed B cell responses in the context of SLy2 deficiency. Methods B‐1 cell populations were analyzed via flow cytometry before and after pneumococcal immunization of SLy2‐deficient and wild‐type control mice. Global and vaccine‐specific immunoglobulin M (IgM) and IgG antibody titers were assessed by enzyme‐linked immunosorbent assay. To investigate survival rates during acute pneumococcal lung infection, mice were intranasally challenged with S. pneumoniae (serotype 3). Complementary isolated splenic B cells were stimulated in vitro and their proliferative response was assessed by fluorescent staining. In vitro antibody secretion was quantified by LEGENDplex. Results We demonstrate increased frequencies of B‐1 cells and elevated titers of preantigenic IgM in SLy2‐deficient mice. In addition, these mice produce significantly more amounts of IgM and IgG 2 upon pneumococcal vaccination. Knocking out SLy2 did not induce survival advantages in our murine model of acute pneumonia, indicating the presence of compensatory mechanisms. Conclusion Our results reveal reinforced specific antibody responses towards pneumococcal polysaccharides and enhanced IgG 2 secretion as a consequence of SLy2 deficiency, which could be relevant to the development of more efficient vaccines.
Strategies for Simplifying Reactive Transport Models: A Bayesian Model Comparison
2020-10-24

Abstract For simulating reactive transport on aquifer scale, various modeling approaches have been proposed. They vary considerably in their computational demands and in the amount of data needed for their calibration. Typically, the more complex a model is, the more data are required to sufficiently constrain its parameters. In this study, we assess a set of five models that simulate aerobic respiration and denitrification in a heterogeneous aquifer at quasi steady state. In a probabilistic framework, we test whether simplified approaches can be used as alternatives to the most detailed model. The simplifications are achieved by neglecting processes such as dispersion or biomass dynamics, or by replacing spatial discretization with travel‐time‐based coordinates. We use the model justifiability analysis proposed by Schöniger, Illman, et al. (2015, https://doi.org/10.1016/j.jhydrol.2015.07.047 ) to determine how similar the simplified models are to the reference model. This analysis rests on the principles of Bayesian model selection and performs a tradeoff between goodness‐of‐fit to reference data and model complexity, which is important for the reliability of predictions. Results show that, in principle, the simplified models are able to reproduce the predictions of the reference model in the considered scenario. Yet, it became evident that it can be challenging to define appropriate ranges for effective parameters of simplified models. This issue can lead to overly wide predictive distributions, which counteract the apparent simplicity of the models. We found that performing the justifiability analysis on the case of model simplification is an objective and comprehensive approach to assess the suitability of candidate models with different levels of detail.