Miracle-dz/UniFAR-FTUs huggingface dataset:
High resolution spectroscopy of the three dimensional cosmic web with close QSO groups

We study the three-dimensional distribution of matter at z~2 using high resolution spectra of QSO pairs and simulated spectra drawn from cosmological hydro-dynamical simulations. We present a sample of 15 QSOs, corresponding to 21 baselines of angular separations evenly distributed between ~1 and 14 arcmin, observed with the Ultraviolet and Visual Echelle Spectrograph (UVES) at the European Southern Observatory-Very Large Telescope (ESO-VLT). The observed correlation functions of the transmitted flux in the HI Lya forest transverse to and along the line of sight are in agreement, implying that the distortions in redshift space due to peculiar velocities are relatively small and - within the relatively large error bars - not significant. The clustering signal is significant up to velocity separations of ~300 km/s, corresponding to about 5 h^{-1} comoving Mpc. Compatibility at the 2 sigma level has been found both for the Auto- and Cross-correlation functions and for the set of the Cross correlation coefficients. The analysis focuses in particular on two QSO groups of the sample. Searching for alignments in the redshift space between Lya absorption lines belonging to different lines of sight, it has been possible to discover the presence of a wide HI structures extending over about ten Mpc in comoving space, and give constraints on the sizes of two cosmic under-dense regions in the intergalactic medium.
Measuring the 3D clustering of undetected galaxies through cross correlation of their cumulative flux fluctuations from multiple spectral lines

We discuss a method for detecting the emission from high redshift galaxies by cross correlating flux fluctuations from multiple spectral lines. If one can fit and subtract away the continuum emission with a smooth function of frequency, the remaining signal contains fluctuations of flux with frequency and angle from line emitting galaxies. Over a particular small range of observed frequencies, these fluctuations will originate from sources corresponding to a series of different redshifts, one for each emission line. It is possible to statistically isolate the fluctuations at a particular redshift by cross correlating emission originating from the same redshift, but in different emission lines. This technique will allow detection of clustering fluctuations from the faintest galaxies which individually cannot be detected, but which contribute substantially to the total signal due to their large numbers. We describe these fluctuations quantitatively through the line cross power spectrum. As an example of a particular application of this technique, we calculate the signal-to-noise ratio for a measurement of the cross power spectrum of the OI(63 μm) and OIII(52 μm) fine structure lines with the proposed Space Infrared Telescope for Cosmology and Astrophysics (SPICA). We find that the cross power spectrum can be measured beyondmore » a redshift of z = 8. Such observations could constrain the evolution of the metallicity, bias, and duty cycle of faint galaxies at high redshifts and may also be sensitive to the reionization history through its effect on the minimum mass of galaxies. As another example of this technique, we calculate the signal-to-noise ratio for the cross power spectrum of CO line emission measured with a large ground based telescope like the Cornell Caltech Atacama Telescope (CCAT) and 21-cm radiation originating from hydrogen in galaxies after reionization with an interferometer similar in scale to the Murchison Widefield Array (MWA), but optimized for post-reionization redshifts. « less
Star formation laws in extreme starbursts

Abstract The observational study of star formation laws is paramount to disentangling the physical processes at work on local and global scales in galaxies. To this aim we have expanded the sample of extreme starbursts, represented by local LIRGs and ULIRGs, with high-quality data obtained in the 1-0 line of HCN. The analysis of the new data shows that the star formation efficiency of the dense molecular gas, derived from the FIR/HCN luminosity ratio, is a factor 3-4 higher in extreme starbursts compared to normal galaxies. We find a duality in the Kennicutt-Schmidt laws that is enhanced if we account for the different conversion factor for HCN (αHCN) in extreme starbursts and correct for the unobscured star formation rate in normal galaxies. We find that it is possible to fit the observed differences in the FIR/HCN ratios between normal galaxies and LIRGs/ULIRGs with a common constant star formation rate per free-fall time (SFRff) if we assume that HCN densities are ∼1–2 orders of magnitude higher in LIRGs/ULIRGs, and provided that SFRff∼0.005-0.01 and/or if αHCN is a factor of a few lower than our favored values.
Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation

Background Ultrasound-guided genicular nerve radiofrequency (RF) procedures are of interest in the management of chronic knee pain. A wide variety of demographic, clinical, and procedural characteristics can affect treatment success. This study aimed to determine predictive factors to provide superior treatment outcomes. Methods The demographic, clinical, and technical data of patients who received genicular nerve RF for knee pain between September 2016 and September 2021 were evaluated. A positive outcome was defined as at least 50% pain relief on a pain score for at least 6 months. Logistic regression analysis was performed to determine the factors associated with a successful response to genicular RF. Results Among 206 patients who underwent genicular RF, 62% of the patients reported successful outcomes at 6 months. In the multivariate model, targeting 5 nerves (odds ratio [OR], 6.184; 95% confidence interval [CI], 2.291–16.690; P < 0.001) was the most significant predictor of successful outcomes. Multivariable logistic regression analysis showed that prognostic genicular nerve block with a 50% cut-off value (OR, 2.109; 95% CI, 1.038–4.287; P = 0.039), no opioid use (OR, 2.753; 95% CI, 1.405–5.393; P = 0.003), and depression (OR, 0.297; 95% CI, 0.124–0.713; P = 0.007) were the predictive factors significantly associated with response to genicular RF. Conclusions Clinical and technical factors associated with better treatment outcomes were ultimately targeting more nerves, performing prognostic block, no opioid use, and no depression. These results are expected to be considered when selecting patients for genicular RF.
Problem solving in Swedish mathematics textbooks for upper secondary school

ABSTRACT The aim of this study is to analyse how mathematical problem solving is represented in mathematical textbooks for Swedish upper secondary school. The analysis comprises dominating Swedish textbook series, and relates to uncovering (a) the quantity of tasks that are actually mathematical problems, (b) their location in the chapter, (c) their difficulty level, and (d) their context. Based on an analysis of 5,722 tasks from the area of calculus, it is concluded that the textbooks themselves contain very few tasks that can be defined as mathematical problems, and that those that are mathematical problems are found at the end of a chapter at the most difficult level, and are presented in a pure mathematical context. Implications are discussed.
Infrared Spectra of Dehydrogenated Carbon Molecules

The detection of fullerene molecules in a variety of astrophysical environments suggests that smaller dehydrogenated carbon molecules may also be present in these sources. One of these is planar C24 which has been shown to be more stable than the cage fullerene with the same number of carbon atoms. To facilitate searches for C24 and some simple derivatives we have calculated infrared spectra for these molecules using first principles density functional techniques (DFT). Infrared spectra are also presented for several novel carbon cage molecules formed from dehydrogenated polycyclic aromatic hydrocarbon molecules. Infrared spectra of a number of these molecules are quite distinctive and we discuss the possibility of detecting these species in the presence of C60 and other fullerenes.
PROPERTIES OF THE T8.5 DWARF WOLF 940 B

We present 7.5–14.2 μm low-resolution spectroscopy, obtained with the Spitzer Infrared Spectrograph, of the T8.5 dwarf Wolf 940 B, which is a companion to an M4 dwarf with a projected separation of 400 AU. We combine these data with previously published near-infrared spectroscopy and mid-infrared photometry to produce the spectral energy distribution for the very low temperature T dwarf. We use atmospheric models to derive the bolometric correction and obtain a luminosity of log L/L☉ = −6.01 ± 0.05 (the observed spectra make up 47% of the total flux). Evolutionary models are used with the luminosity to constrain the values of effective temperature (Teff) and surface gravity and hence mass and age for the T dwarf. We ensure that the spectral models used to determine the bolometric correction have Teff and gravity values consistent with the luminosity-implied values. We further restrict the allowed range of Teff and gravity using age constraints implied by the M dwarf primary and refine the physical properties of the T dwarf by comparison of the observed and modeled spectroscopy and photometry. This comparison indicates that Wolf 940 B has a metallicity within ∼0.2 dex of solar, as more extreme values give poor fits to the data—lower metallicity produces a poor fit at λ>2 μm, while higher metallicity produces a poor fit at λ < 2 μm. This is consistent with the independently derived value of [m/H] =+0.24 ± 0.09 for the primary star, using the Johnson & Apps MK: V − K relationship. We find that the T dwarf atmosphere is undergoing vigorous mixing, with an eddy diffusion coefficient Kzz of 104 to 106 cm2 s−1. We derive an effective temperature of 585 K to 625 K, and surface gravity log g = 4.83 to 5.22 (cm s−2), for an age range of 3 Gyr to 10 Gyr, as implied by the kinematic and Hα properties of the M dwarf primary. Gravity and temperature are correlated such that the lower gravity corresponds to the lower temperature and younger age for the system and the higher values to the higher temperature and older age. The mass of the T dwarf is 24 MJupiter to 45 MJupiter for the younger to older age limit.
Approach and Interfragmentary Stabilization of Caudal Mandibular Fracture in the Cat

An approach to caudal mandibular fracture stabilization is described along with three cases wherein the approach was applied in relatively young cats with traumatic mandibular fractures caudal to or involving the mandibular first molar. This approach was well-tolerated and facilitated a quick return to function as supported by minimal or no reliance on esophageal feeding tubes.
Institutional factors associated with the incidence rates of central line-associated bloodstream infection in California community hospitals

Central line-associated bloodstream infections are frequent, deadly, costly, and preventable. The study aimed to explore how some hospital-related characteristics were associated with incidence rates of central line-associated bloodstream infections reported by community hospitals in California from January to December 2019. This retrospective, cross-sectional study used combined data from records submitted to the California Department of Public Health, California Open Data Portal, the California Health and Human Services Open Data Portal, and the American Hospital Directory by community hospitals in California with central line-associated bloodstream infections in 2019. Results showed that CLABSIs are significantly associated with bed capacity, health care system affiliation, ownership, and hospital accreditation status (p < 0.0001). CLABSI remains a relevant threat to patient safety and quality of care, even more so in the community hospital setting. Understanding if a relationship exists between institutional factors and CLABSI rates might better prepare leaders in healthcare organizations to reduce HAIs.
Reciprocal association between session-by-session change in overvaluation of shape and weight and session-by-session change in bulimia nervosa symptoms during cognitive behavior therapies

ABSTRACT Overvaluation of shape and weight (OSW) is supported as an important mechanism underlying improvement in bulimia nervosa (BN) during behavioral therapies (CBTs). It is not yet clear, however, whether changes in OSW temporally precede and prospectively predict changes in BN symptoms during CBTs, limiting the ability to establish causality. The present study is the first to examine whether session-by-session changes in OSW prospectively predict session-by-session changes in BN symptoms during CBTs and clinical outcomes at the end-of-treatment. Participants with BN (n = 44) who received 20 sessions of CBTs completed a brief survey at each session assessing OSW and BN symptom frequency during the past week. Results showed small but significant session-by-session reductions in OSW and BN symptoms during CBTs. Session-by-session improvements in OSW in any given week prospectively predicted reductions in restrictive eating, binge eating, and compulsive exercise in the following week but did not prospectively predict improvements in purging, while improvements in restrictive eating and compulsive exercise in any given week prospectively predicted reductions in OSW in the following week. Average session-by-session change in OSW during treatment was positively associated with remission status and improvements in eating pathology at the end-of-treatment. Changes in OSW temporally precede and prospectively predict changes in BN symptoms during CBTs, and vice versa. These findings may have critical implications for treatment planning and implementation.
THE TURBULENCE SPECTRUM OF MOLECULAR CLOUDS IN THE GALACTIC RING SURVEY: A DENSITY-DEPENDENT PRINCIPAL COMPONENT ANALYSIS CALIBRATION

Turbulence plays a major role in the formation and evolution of molecular clouds. Observationally, turbulent velocities are convolved with the density of an observed region. To correct for this convolution, we investigate the relation between the turbulence spectrum of model clouds, and the statistics of their synthetic observations obtained from principal component analysis (PCA). We apply PCA to spectral maps generated from simulated density and velocity fields, obtained from hydrodynamic simulations of supersonic turbulence, and from fractional Brownian motion (fBm) fields with varying velocity, density spectra, and density dispersion. We examine the dependence of the slope of the PCA pseudo-structure function, αPCA, on intermittency, on the turbulence velocity (βv) and density (βn) spectral indexes, and on density dispersion. We find that PCA is insensitive to βn and to the log-density dispersion σs, provided σs ⩽ 2. For σs > 2, αPCA increases with σs due to the intermittent sampling of the velocity field by the density field. The PCA calibration also depends on intermittency. We derive a PCA calibration based on fBm structures with σs ⩽ 2 and apply it to 367 13CO spectral maps of molecular clouds in the Galactic Ring Survey. The average slope of the PCA structure function, 〈αPCA〉 = 0.62 ± 0.2, is consistent with the hydrodynamic simulations and leads to a turbulence velocity exponent of 〈βv〉 = 2.06 ± 0.6 for a non-intermittent, low density dispersion flow. Accounting for intermittency and density dispersion, the coincidence between the PCA slope of the GRS clouds and the hydrodynamic simulations suggests βv ≃ 1.9, consistent with both Burgers and compressible intermittent turbulence.
Loneliness is Associated With Lower Coping Self-Efficacy Among Older Adults

To address the gap of lacking research on the association between coping self-efficacy and loneliness, this study examined this relationship to inform future research and intervention on loneliness. Using data from 151 community-dwelling older adults ages 65 and older, we estimated multivariate logistic regression models with age, race/ethnicity, sex, body mass index, chronic disease composite score, social support, coping self-efficacy, and depression symptoms. Loneliness was reported in 32.1% of participants and negatively associated with coping self-efficacy (OR = 0.68, 95% CI: 0.50–0.93) while controlling for age, race, sex, chronic disease composite score, and body mass index. Our findings suggest that coping self-efficacy may be a target for intervention involving loneliness in future research; however, the causal relationship between coping self-efficacy and loneliness should be explored further.
Bell inequalities and entanglement at quantum phase transitions in theXXZmodel

Instituto de Fisica, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza s/n, Gragoata, 24210-346, Niteroi, RJ, BrazilEntanglement and violation of Bell inequalities were the same peculiar aspect of Quantum Mechanics formany years: non-locality. It is now known that this equivalence is not complete, but only true for pure states.We present a study of the relation between entanglement and violation of Bell inequalities at a quantum phasetransition, for two spin-
Evolution of linear perturbations in spherically symmetric dust spacetimes

We present results from a numerical code implementing a new method to solve the master equations describing the evolution of linear perturbations in a spherically symmetric but inhomogeneous background. This method can be used to simulate several configurations of physical interest, such as relativistic corrections to structure formation, the lensing of gravitational waves (GWs) and the evolution of perturbations in a cosmological void model. This paper focuses on the latter problem, i.e. structure formation in a Hubble scale void in the linear regime. This is considerably more complicated than linear perturbations of a homogeneous and isotropic background because the inhomogeneous background leads to coupling between density perturbations and rotational modes of the spacetime geometry, as well as GWs. Previous analyses of this problem ignored this coupling in the hope that the approximation does not affect the overall dynamics of structure formation in such models. We show that for a giga-parsec void, the evolution of the density contrast is well approximated by the previously studied decoupled evolution only for very large-scale modes. However, the evolution of the gravitational potentials within the void is inaccurate at more than the 10% level, and is even worse on small scales.
Mortality Risk in Pediatric Sepsis Based on C-reactive Protein and Ferritin Levels

OBJECTIVES: Interest in using bedside C-reactive protein (CRP) and ferritin levels to identify patients with hyperinflammatory sepsis who might benefit from anti-inflammatory therapies has piqued with the COVID-19 pandemic experience. Our first objective was to identify patterns in CRP and ferritin trajectory among critically ill pediatric sepsis patients. We then examined the association between these different groups of patients in their inflammatory cytokine responses, systemic inflammation, and mortality risks. DATA SOURCES: A prospective, observational cohort study. STUDY SELECTION: Children with sepsis and organ failure in nine pediatric intensive care units in the United States. DATA EXTRACTION: Two hundred and fifty-five children were enrolled. Five distinct clinical multi-trajectory groups were identified. Plasma CRP (mg/dL), ferritin (ng/mL), and 31 cytokine levels were measured at two timepoints during sepsis (median Day 2 and Day 5). Group-based multi-trajectory models (GBMTM) identified groups of children with distinct patterns of CRP and ferritin. DATA SYNTHESIS: Group 1 had normal CRP and ferritin levels (n = 8; 0% mortality); Group 2 had high CRP levels that became normal, with normal ferritin levels throughout (n = 80; 5% mortality); Group 3 had high ferritin levels alone (n = 16; 6% mortality); Group 4 had very high CRP levels, and high ferritin levels (n = 121; 11% mortality); and Group 5 had very high CRP and very high ferritin levels (n = 30; 40% mortality). Cytokine responses differed across the five groups, with ferritin levels correlated with macrophage inflammatory protein 1α levels and CRP levels reflective of many cytokines. CONCLUSIONS: Bedside CRP and ferritin levels can be used together to distinguish groups of children with sepsis who have different systemic inflammation cytokine responses and mortality risks. These data suggest future potential value in personalized clinical trials with specific targets for anti-inflammatory therapies.
Investigational drugs for the treatment of kidney transplant rejection

ABSTRACT Introduction Kidney transplant rejection remains an important clinical problem despite the development of effective immunosuppressive therapy. Two major types of rejection are recognized, T-cell-mediated rejection (TCMR) and antibody-mediated rejection (ABMR), which have a different pathophysiology and are treated differently. Unfortunately, long-term outcomes of both TCMR and ABMR remain unsatisfactory despite current therapy. Hence, alternative therapeutic drugs are urgently needed. Areas covered This review covers novel and investigational drugs for the pharmacological treatment of kidney transplant rejection. Potential therapeutic strategies and future directions are discussed. Expert opinion The development of alternative pharmacologic treatment of rejection has focused mostly on ABMR, since this is the leading cause of kidney allograft loss and currently lacks an effective, evidence-based therapy. At present, there is insufficient high-quality evidence for any of the covered investigational drugs to support their use in ABMR. However, with the emergence of targeted therapies, the potential arises for individualized treatment strategies. In order to generate more high-quality evidence for such strategies and overcome the obstacles of classic randomized controlled trials, we advocate the implementation of adaptive trial designs and surrogate clinical endpoints. We believe such adaptive trial designs could help to understand the risks and benefits of promising drugs such as tocilizumab, clazakizumab, belimumab, and imlifidase.
Data-based dynamic compartment model: Modeling of E. coli fed-batch fermentation in a 600 m3 bubble column

Abstract Mathematical modeling is a powerful and inexpensive approach to provide a quantitative basis for improvements that minimize the negative effects of bioreactor heterogeneity. For a model to accurately represent a heterogeneous system, a flow model that describes how mass is channeled between different zones of the bioreactor volume is necessary. In this study, a previously developed compartment model approach based on data from flow-following sensor devices was further developed to account for dynamic changes in volume and flow rates and thus enabling simulation of the widely used fed-batch process. The application of the dynamic compartment model was demonstrated in a study of an industrial fermentation process in a 600 m3 bubble column bioreactor. The flow model was used to evaluate the mixing performance by means of tracer simulations and was coupled with reaction kinetics to simulate concentration gradients in the process. The simulations showed that despite the presence of long mixing times and significant substrate gradients early in the process, improving the heterogeneity did not lead to overall improvements in the process. Improvements could, however, be achieved by modifying the dextrose feeding profile.