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Current guidelines recommend a target international normalized ratio (INR) range of 2.5 to 3.5 in patients with a mechanical mitral prosthesis. The Prospective Randomized On-X Anticoagulation Clinical Trial (PROACT) Mitral randomized controlled noninferiority trial assessed safety and efficacy of warfarin at doses lower than currently recommended, in patients with an On-X mechanical mitral valve.After On-X mechanical mitral valve replacement followed by at least 3 months of standard anticoagulation, 401 patients at 44 North American centers were randomized to low-dose warfarin (target INR 2.0 to 2.5) or standard-dose warfarin (target INR 2.5 to 3.5). All patients were prescribed aspirin 81 mg daily and encouraged to use home INR testing. The primary endpoint was the sum of the linearized rates of thromboembolism, valve thrombosis, and bleeding events. The design was based on an expected 7.3% event rate and 1.5% noninferiority margin.Mean patient follow-up was 4.1 years. Mean INR was 2.47 and 2.92 (P.001) in the low-dose and standard-dose warfarin groups, respectively. Primary endpoint rates were 11.9%/patient-year in the low-dose group and 12.0%/patient-year in the standard-dose group (difference -0.07, 95% confidence intervals: -3.40, 3.26). The confidence interval exceeded 1.5%, thus noninferiority was not achieved. Rates (%/patient-year) of the individual components of the primary endpoint were 2.3% vs 2.5% for thromboembolism, 0.5% vs 0.5% for valve thrombosis, and 9.13% vs 9.04% for bleeding.Compared to standard-dose warfarin, low-dose warfarin did not achieve noninferiority for the composite primary endpoint. (PROACT Clinicaltrials.gov number, NCT00291525).

Counts of galaxy clusters offer a high-precision probe of cosmology, but control of systematic errors will determine the accuracy of this measurement. Using Buzzard simulations, we quantify one such systematic, the triaxiality distribution of clusters identified with the redMaPPer optical cluster finding algorithm, which was used in the Dark Energy Survey Year-1 (DES Y1) cluster cosmology analysis. We test whether redMaPPer selection biases the clusters’ shape and orientation and find that it only biases orientation, preferentially selecting clusters with their major axes oriented along the line of sight. Modeling the richness–mass relation as log-linear, we find that the log-richness amplitude ln (A) is boosted from the lowest to highest orientation bin with a significance of 14σ, while the orientation dependence of the richness-mass slope and intrinsic scatter is minimal. We also find that the weak lensing shear-profile ratios of cluster-associated dark halos in different orientation bins resemble a “bottleneck” shape that can be quantified with a Cauchy function. We test the correlation of orientation with two other leading systematics in cluster cosmology—miscentering and projection—and find a null correlation. The resulting mass bias predicted from our templates confirms the DES Y1 finding that triaxiality is a leading source of bias in cluster cosmology. However, the richness-dependence of the bias confirms that triaxiality does not fully resolve the tension at low-richness between DES Y1 cluster cosmology and other probes. Our model can be used for quantifying the impact of triaxiality bias on cosmological constraints for upcoming weak lensing surveys of galaxy clusters.

We present a novel simulation-based cosmological analysis of galaxy-galaxy lensing and galaxy redshift-space clustering. Compared to analysis methods based on perturbation theory, our simulation-based approach allows us to probe a much wider range of scales, $0.4 \, h^{-1} \, \mathrm{Mpc}$ to $63 \, h^{-1} \, \mathrm{Mpc}$, including highly non-linear scales, and marginalises over astrophysical effects such as assembly bias. We apply this framework to data from the Baryon Oscillation Spectroscopic Survey LOWZ sample cross-correlated with state-of-the-art gravitational lensing catalogues from the Kilo Degree Survey and the Dark Energy Survey. We show that gravitational lensing and redshift-space clustering when analysed over a large range of scales place tight constraints on the growth-of-structure parameter $S_8 = \sigma_8 \sqrt{\Omega_{\rm m} / 0.3}$. Overall, we infer $S_8 = 0.792 \pm 0.022$ when analysing the combination of galaxy-galaxy lensing and projected galaxy clustering and $S_8 = 0.771 \pm 0.027$ for galaxy redshift-space clustering. These findings highlight the potential constraining power of full-scale studies over studies analysing only large scales, and also showcase the benefits of analysing multiple large-scale structure surveys jointly. Our inferred values for $S_8$ fall below the value inferred from the CMB, $S_8 = 0.834 \pm 0.016$. While this difference is not statistically significant by itself, our results mirror other findings in the literature whereby low-redshift large scale structure probes infer lower values for $S_8$ than the CMB, the so-called $S_8$-tension., Comment: 22 pages, 16 figures, submitted to MNRAS, comments welcome

Numerical simulations in cosmology require trade-offs between volume, resolution and run-time that limit the volume of the Universe that can be simulated, leading to sample variance in predictions of ensemble-average quantities such as the power spectrum or correlation function(s). Sample variance is particularly acute at large scales, which is also where analytic techniques can be highly reliable. This provides an opportunity to combine analytic and numerical techniques in a principled way to improve the dynamic range and reliability of predictions for clustering statistics. In this paper we extend the technique of Zel'dovich control variates, previously demonstrated for 2-point functions in real space, to reduce the sample variance in measurements of 2-point statistics of biased tracers in redshift space. We demonstrate that with this technique, we can reduce the sample variance of these statistics down to their shot-noise limit out to $k \sim 0.2\, h\rm Mpc^{-1}$. This allows a better matching with perturbative models and improved predictions for the clustering of e.g.~quasars, galaxies and neutral Hydrogen measured in spectroscopic redshift surveys at very modest computational expense. We discuss the implementation of ZCV, give some examples and provide forecasts for the efficacy of the method under various conditions., 17 pages main text, 5 pages of appendices, 9 figures

Simulations have become an indispensable tool for accurate modelling of observables measured in galaxy surveys, but can be expensive if very large dynamic range in scale is required. We describe how to combine Lagrangian perturbation theory models with N-body simulations to reduce the effects of finite computational volume in the prediction of ensemble average properties in the simulations within the context of control variates. In particular we use the fact that Zel'dovich displacements, computed during initial condition generation for any simulation, correlate strongly with the final density field. Since all the correlators of biased tracers can be computed with arbitrary precision for these displacements, pairing the Zel'dovich `simulation' with the N-body realization allows hundredfold reductions in sample variance for power spectrum or correlation function estimation. Zel'dovich control variates can accurately extend matter or tracer field emulators to larger scales than previously possible, as well as improving measurements of statistics in simulations which are inherently limited to small volumes, such as hydrodynamical simulations of galaxy formation and reionization., Updated to reflect published version

Standard analysis pipelines for measurements of Baryon Acoustic Oscillations (BAO) in galaxy surveys make use of a fiducial cosmological model to guide the data compression required to transform from observed redshifts and angles to the measured angular and radial BAO peak positions. In order to remove any dependence on the fiducial cosmology from the results, all models compared to the data should mimic the compression and its dependence on the fiducial model. In practice, approximations are made when testing models: (1) There is assumed to be no residual dependence on the fiducial cosmology after reconstruction, (2) differences in the distance–redshift relationship are assumed to match a linear scaling, and (3) differences in clustering between true and fiducial models are assumed to be removed by the free parameters used to null the non-BAO signal. We test these approximations using the current standard measurement procedure with a set of halo catalogues from the aemulus suite of N-body simulations, which span a range of wCDM cosmological models. We focus on reconstruction of the primordial BAO and locating the BAO. For the range of wCDM cosmologies covered by the aemulus suite, we find no evidence for systematic errors in the measured BAO shift parameters α∥ and α⊥ to $\lt 0.1\%$. However, the measured errors $\sigma _{\alpha _{\parallel }}$ and $\sigma _{\alpha _{\bot }}$ show a notable absolute increase by up to +0.001 and +0.002, respectively, in the case that the fiducial cosmology does not match the truth. These effects on the inferred BAO scale will be important, given the precision of measurements expected from future surveys including DESI, Euclid, and WFIRST.

We use luminous red galaxies selected from the imaging surveys that are being used for targeting by the Dark Energy Spectroscopic Instrument (DESI) in combination with CMB lensing maps from the Planck collaboration to probe the amplitude of large-scale structure over $0.4\le z\le 1$. Our galaxy sample, with an angular number density of approximately $500\,\mathrm{deg}^{-2}$ over 18,000 sq.deg., is divided into 4 tomographic bins by photometric redshift and the redshift distributions are calibrated using spectroscopy from DESI. We fit the galaxy autospectra and galaxy-convergence cross-spectra using models based on cosmological perturbation theory, restricting to large scales that are expected to be well described by such models. Within the context of $\Lambda$CDM, combining all 4 samples and using priors on the background cosmology from supernova and baryon acoustic oscillation measurements, we find $S_8=\sigma_8(\Omega_m/0.3)^{0.5}=0.73\pm 0.03$. This result is lower than the prediction of the $\Lambda$CDM model conditioned on the Planck data. Our data prefer a slower growth of structure at low redshift than the model predictions, though at only modest significance., Comment: 44 pages, 16 figures. Matches version accepted by journal: more details on analysis, updated references, link to data added

We present a formalism for jointly fitting pre- and post-reconstruction redshift-space clustering (RSD) and baryon acoustic oscillations (BAO) plus gravitational lensing (of the CMB) that works directly with the observed 2-point statistics. The formalism is based upon (effective) Lagrangian perturbation theory and a Lagrangian bias expansion, which models RSD, BAO and galaxy-lensing cross correlations within a consistent dynamical framework. As an example we present an analysis of clustering measured by the Baryon Oscillation Spectroscopic Survey in combination with CMB lensing measured by Planck. The post-reconstruction BAO strongly constrains the distance-redshift relation, the full-shape redshift-space clustering constrains the matter density and growth rate, and CMB lensing constrains the clustering amplitude. Using only the redshift space data we obtain $\Omega_\mathrm{m} = 0.303\pm 0.008$, $H_0 = 69.21\pm 0.78$ and $\sigma_8 = 0.743\pm 0.043$. The addition of lensing information, even when restricted to the Northern Galactic Cap, improves constraints to $\Omega_m = 0.300 \pm 0.008$, $H_0 = 69.21 \pm 0.77$ and $\sigma_8 = 0.707 \pm 0.035$, in tension with CMB and cosmic shear constraints. The combination of $\Omega_m$ and $H_0$ are consistent with Planck, though their constraints derive mostly from redshift-space clustering. The low $\sigma_8$ value are driven by cross correlations with CMB lensing in the low redshift bin ($z\simeq 0.38$) and at large angular scales, which show a $20\%$ deficit compared to expectations from galaxy clustering alone. We conduct several systematics tests on the data and find none that could fully explain these tensions., Comment: 46 pages, 15 figures, updated to match version accepted by JCAP

Cosmological $N$-body simulations provide numerical predictions of the structure of the Universe against which to compare data from ongoing and future surveys, but the growing volume of the Universe mapped by surveys requires correspondingly lower statistical uncertainties in simulations, usually achieved by increasing simulation sizes at the expense of computational power. It was recently proposed to reduce simulation variance without incurring additional computational costs by adopting fixed-amplitude initial conditions. This method has been demonstrated not to introduce bias in various statistics, including the two-point statistics of galaxy samples typically used for extracting cosmological parameters from galaxy redshift survey data, but requires us to revisit current methods for estimating covariance matrices of clustering statistics for simulations. In this work, we find that it is not trivial to construct covariance matrices analytically for fixed-amplitude simulations, but we demonstrate that EZmock (Effective Zel'dovich approximation mock catalogue), the most efficient method for constructing mock catalogues with accurate two- and three-point statistics, provides reasonable covariance matrix estimates for such simulations. We further examine how the variance suppression obtained by amplitude-fixing depends on three-point clustering, small-scale clustering, and galaxy bias, and propose intuitive explanations for the effects we observe based on the EZmock bias model., 9 pages, 7 figures; in v2 we incorporate minor modifications from peer review and copyediting

In simulation-based models of the galaxy-halo connection, theoretical predictions for galaxy clustering and lensing are typically made based on Monte Carlo realizations of a mock universe. In this paper, we use Subhalo Abundance Matching (SHAM) as a toy model to introduce an alternative to stochastic predictions based on mock population, demonstrating how to make simulation-based predictions for clustering and lensing that are both exact and differentiable with respect to the parameters of the model. Conventional implementations of SHAM are based on iterative algorithms such as Richardson-Lucy deconvolution; here we use the JAX library for automatic differentiation to train SHAMNet, a neural network that accurately approximates the stellar-to-halo mass relation (SMHM) defined by abundance matching. In our approach to making differentiable predictions for large scale structure, we map parameterized PDFs onto each simulated halo, and calculate gradients of summary statistics of the galaxy distribution by using autodiff to propagate the gradients of the SMHM through the statistical estimators used to measure one- and two-point functions. Our techniques are quite general, and we conclude with an overview of how they can be applied in tandem with more complex, higher-dimensional models, creating the capability to make differentiable predictions for the multi-wavelength universe of galaxies., 11 pages, 6 appendices, version accepted for publication by the Open Journal of Astrophysics

We explore the degrees of freedom required to jointly fit projected and redshift-space clustering of galaxies selected in three bins of stellar mass from the Sloan Digital Sky Survey Main Galaxy Sample (SDSS MGS) using a subhalo abundance matching (SHAM) model. We employ emulators for relevant clustering statistics in order to facilitate our analysis, leading to large speed gains with minimal loss of accuracy. We are able to simultaneously fit the projected and redshift-space clustering of the two most massive galaxy samples that we consider with just two free parameters: scatter in stellar mass at fixed SHAM proxy and the dependence of the SHAM proxy on dark matter halo concentration. We find some evidence for models that include velocity bias, but including orphan galaxies improves our fits to the lower mass samples significantly. We also model the clustering signals of specific star formation rate (SSFR) selected samples using conditional abundance matching (CAM). We obtain acceptable fits to projected and redshift-space clustering as a function of SSFR and stellar mass using two CAM variants, although the fits are worse than for stellar mass-selected samples alone. By incorporating non-unity correlations between the CAM proxy and SSFR we are able to resolve previously identified discrepancies between CAM predictions and SDSS observations of the environmental dependence of quenching for isolated central galaxies., 25 pages, 14 figures, comments welcome!

We investigate the stochastic properties of typical red galaxy samples in a controlled numerical environment. We use Halo Occupation Distribution (HOD) modelling to create mock realizations of three separate bright red galaxy samples consistent with datasets used for clustering and lensing analyses in modern galaxy surveys. Second-order Hybrid Effective Field Theory (HEFT) is used as a field-level forward model to describe the full statistical distribution of these tracer samples, and their stochastic power spectra are directly measured and compared to the Poisson shot-noise prediction. While all of the galaxy samples we consider are hosted within haloes with sub-Poisson stochasticity, we observe that the galaxy samples themselves possess stochasticities that range from sub-Poisson to super-Poisson, in agreement with predictions from the halo model. As an application of our methodology, we place priors on the expected degree of non-Poisson stochasticity in cosmological analyses using such samples. We expect these priors will be useful in reducing the complexity of the full parameter space for future analyses using second-order Lagrangian bias models. More generally, the techniques outlined here present the first application of hybrid EFT methods to characterize models of the galaxy--halo connection at the field level, revealing new connections between once-disparate modelling frameworks., Comment: 16 pages, 10 figures. Revised version accepted to MNRAS. Revisions include a new appendix on the covariance of the field-level bias estimator

We make use of neural networks to accelerate the calculation of power spectra required for the analysis of galaxy clustering and weak gravitational lensing data. For modern perturbation theory codes, evaluation time for a single cosmology and redshift can take on the order of two seconds. In combination with the comparable time required to compute linear predictions using a Boltzmann solver, these calculations are the bottleneck for many contemporary large-scale structure analyses. In this work, we construct neural network-based surrogate models for Lagrangian perturbation theory (LPT) predictions of matter power spectra, real and redshift space galaxy power spectra, and galaxy--matter cross power spectra that attain $\sim 0.1\%$ (at one sigma) accuracy over a broad range of scales in a $w$CDM parameter space. The neural network surrogates can be evaluated in approximately one millisecond, a factor of 1000 times faster than the full Boltzmann code and LPT computations. In a simulated full-shape redshift space galaxy power spectrum analysis, we demonstrate that the posteriors obtained using our surrogates are accurate compared to those obtained using the full LPT model. We make our surrogate models public at https://github.com/sfschen/EmulateLSS, so that others may take advantage of the speed gains they provide to enable rapid iteration on analysis settings, something that is essential in complex contemporary large-scale structure analyses., Comment: 12 pages, 4 figures, models available at https://github.com/sfschen/EmulateLSS

This study investigated sex-based differences in outcomes after mitral valve (MV) surgery for severe ischemic mitral regurgitation (SIMR).Whether differences in outcomes exist between men and women after surgery for SIMR remains unknown.Patients enrolled in a randomized trial comparing MV replacement versus MV repair for SIMR were included and followed for 2 years. Endpoints for this analysis included all-cause mortality, major adverse cardiovascular and cerebrovascular events (MACCE) (defined as the composite of death, stroke, hospitalization for heart failure, worsening New York Heart Association functional class or MV re-operation), quality of life (QOL), functional status, and percentage of change in left ventricular end-systolic volume index (LVESVI) from baseline through 2 years.Of 251 patients enrolled in the trial, 96 (38.2%) were women. Compared with men, women had smaller LV volumes and effective regurgitant orifice areas (EROA) but greater EROA/left ventricular (LV) end-diastolic volume ratios. At 2 years, women had higher rates of all-cause mortality (27.1% vs. 17.4%, respectively; adjusted hazard ratio [adjHR]: 1.85; 95% confidence interval [CI]: 1.05 to 3.26; p = 0.03) and of MACCE (49.0% vs. 38.1%, respectively; adjHR: 1.58; 95% CI: 1.06 to 2.37; p = 0.02). Women also reported worse QOL and functional status at 2 years. There were no significant differences in the percentage of change over 2 years in LVESVI between women and men (adjβ: -10.4; 95% CI: -23.4 to 2.6; p = 0.12).Women with SIMR displayed different echocardiographic features and experienced higher mortality and worse QOL after MV surgery than men. There were no significant differences in the degree of reverse LV remodeling between sexes. (Comparing the Effectiveness of Repairing Versus Replacing the Heart's Mitral Valve in People With Severe Chronic Ischemic Mitral Regurgitation [Severe Ischemic Mitral Regurgitation]; NCT00807040).

Background Tocilizumab (TCZ) is a monoclonal antibody against the interleuikin-6 receptor which is potentially beneficial in COVID-19 induced cytokine release syndrome (CRS). However, there are limited studies showing anti-inflammatory effect and clinical benefit of TCZ in COVID-19 patients. This retrospective study examines treatment responses of criteria based TCZ therapy for SARS-CoV-2 respiratory infection for ICU vs. non-ICU patients. Methods We established institutional criteria to identify patients at risk of CRS from COVID-19. Patients were included if they received at least 1 dose of TCZ and were admitted for at least 72 hours. Primary endpoint was to assess clinical improvement (CI) at the end of admission. CI was defined by extubation, downgrade from ICU, discharged or improvement in Clinical Ordinal Scale by 2. Secondary endpoint of the study was to assess inpatient mortality (IM) and risk factors associated with IM. Subgroup analysis included impact of early (< 96 hours) vs late (≥ 96 hours) TCZ therapy on IM. Results Between March 25 to May 6, 2020, 170 patients met criteria and received TCZ. There were 83 non-ICU patients and 87 in the ICU. Forty five patients needed invasive mechanical ventilation (IMV). ICU patients tended to be obese, receive 2 doses of TCZ and have longer length of stay. Overall CI was seen in 71% of patients. CI was higher in non-ICU vs ICU patients (85.5% vs 57.5%, P=0.002). Overall IM was 18.8%; however, IM was lower in non-ICU vs ICU patients (8.4% vs 28.7%, P=0.0014). IM was higher in patients on IMV vs. non-IMV (30% vs 15.4%, P=0.03). Risk factors of ICU admission, BMI ≥ 30 kg/m2 and AKI were associated with higher risk of IM. Many IM patients were made comfort care. No differences were observed in early vs late TCZ therapy on inpatient mortality, but there was a trend toward lower mortality with early TCZ. COS Review of Tocilizumab Patients Conclusion TCZ is an effective treatment option in patients with SARS-CoV-2 patients at risk of CRS. Patients receiving TCZ in non-ICU setting had a better response to treatment compared to ICU patients. Obesity and AKI were associated with higher risk of mortality, but there was no statistical difference in early vs late therapy. Further studies with control group and larger sample size are warranted. Disclosures All Authors: No reported disclosures

Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many of which cannot be easily classified into simple (e.g. deletion) or complex (e.g. chromothripsis) structural variant classes. Applying a novel genome graph computational paradigm to analyze the topology of junction copy number (JCN) across 2,778 tumor whole genome sequences, we uncovered three novel complex rearrangement phenomena: pyrgo, rigma, and tyfonas. Pyrgo are “towers” of low-JCN duplications associated with early replicating regions and superenhancers, enriched in breast and ovarian cancers. Rigma comprise “chasms” of low-JCN deletions at late-replicating fragile sites, enriched in gastrointestinal carcinomas. Tyfonas are “typhoons” of high-JCN junctions and fold-back inversions enriched in expressed protein-coding fusions and breakend hypermutation, frequently found in acral, but not cutaneous, melanomas. Clustering of tumors according to genome graph-derived features identified subgroups associated with DNA repair defects and poor prognosis.

We present the UNIT $N$-body cosmological simulations project, designed to provide precise predictions for nonlinear statistics of the galaxy distribution. We focus on characterizing statistics relevant to emission line and luminous red galaxies in the current and upcoming generation of galaxy surveys. We use a suite of precise particle mesh simulations (FastPM) as well as with full $N$-body calculations with a mass resolution of $\sim 1.2\times10^9\,h^{-1}$M$_{\odot}$ to investigate the recently suggested technique of Angulo & Pontzen 2016 to suppress the variance of cosmological simulations We study redshift space distortions, cosmic voids, higher order statistics from $z=2$ down to $z=0$. We find that both two- and three-point statistics are unbiased. Over the scales of interest for baryon acoustic oscillations and redshift-space distortions, we find that the variance is greatly reduced in the two-point statistics and in the cross correlation between halos and cosmic voids, but is not reduced significantly for the three-point statistics. We demonstrate that the accuracy of the two-point correlation function for a galaxy survey with effective volume of 20 ($h^{-1}$Gpc)$^3$ is improved by about a factor of 40, indicating that two pairs of simulations with a volume of 1 ($h^{-1}$Gpc)$^3$ lead to the equivalent variance of $\sim$150 such simulations. The $N$-body simulations presented here thus provide an effective survey volume of about seven times the effective survey volume of DESI or Euclid. The data from this project, including dark matter fields, halo catalogues, and their clustering statistics, are publicly available at http://www.unitsims.org., 12 pages, 9 figures. This version matches the one accepted by MNRAS. The data from this project are publicly available at: http://www.unitsims.org

This paper introduces cosmoDC2, a large synthetic galaxy catalog designed to support precision dark energy science with the Large Synoptic Survey Telescope (LSST). CosmoDC2 is the starting point for the second data challenge (DC2) carried out by the LSST Dark Energy Science Collaboration (LSST DESC). The catalog is based on a trillion-particle, 4.225 Gpc^3 box cosmological N-body simulation, the `Outer Rim' run. It covers 440 deg^2 of sky area to a redshift of z=3 and is complete to a magnitude depth of 28 in the r-band. Each galaxy is characterized by a multitude of properties including stellar mass, morphology, spectral energy distributions, broadband filter magnitudes, host halo information and weak lensing shear. The size and complexity of cosmoDC2 requires an efficient catalog generation methodology; our approach is based on a new hybrid technique that combines data-driven empirical approaches with semi-analytic galaxy modeling. A wide range of observation-based validation tests has been implemented to ensure that cosmoDC2 enables the science goals of the planned LSST DESC DC2 analyses. This paper also represents the official release of the cosmoDC2 data set, including an efficient reader that facilitates interaction with the data., Comment: 27 pages, 17 figures, submitted to APJS

We present the transient source detection efficiencies of the Palomar Transient Factory (PTF), parameterizing the number of transients that PTF found, versus the number of similar transients that occurred over the same period in the survey search area but that were missed. PTF was an optical sky survey carried out with the Palomar 48-inch telescope over 2009-2012, observing more than 8000 square degrees of sky with cadences of between 1 and 5 days, locating around 50,000 non-moving transient sources, and spectroscopically confirming around 1900 supernovae. We assess the effectiveness with which PTF detected transient sources, by inserting ~7 million artificial point sources into real PTF data. We then study the efficiency with which the PTF real-time pipeline recovered these sources as a function of the source magnitude, host galaxy surface brightness, and various observing conditions (using proxies for seeing, sky brightness, and transparency). The product of this study is a multi-dimensional recovery efficiency grid appropriate for the range of observing conditions that PTF experienced, and that can then be used for studies of the rates, environments, and luminosity functions of different transient types using detailed Monte Carlo simulations. We illustrate the technique using the observationally well-understood class of type Ia supernovae., Comment: Accepted for publication in ApJS. 15 pages, 13 figures

The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fundamental physics in cosmological observables, understanding the effect of systematic uncertainties on measured signals and testing mitigation strategies for reducing these uncertainties, aiding analysis pipeline development and testing, and survey strategy optimization. The list of applications is growing with improvements in the quality of the catalogs and the details that they can provide. Given the importance of simulated catalogs, it is critical to provide rigorous validation protocols that enable both catalog providers and users to assess the quality of the catalogs in a straightforward and comprehensive way. For this purpose, we have developed the DESCQA framework for the Large Synoptic Survey Telescope Dark Energy Science Collaboration as well as for the broader community. The goal of DESCQA is to enable the inspection, validation, and comparison of an inhomogeneous set of synthetic catalogs via the provision of a common interface within an automated framework. In this paper, we present the design concept and first implementation of DESCQA. In order to establish and demonstrate its full functionality we use a set of interim catalogs and validation tests. We highlight several important aspects, both technical and scientific, that require thoughtful consideration when designing a validation framework, including validation metrics and how these metrics impose requirements on the synthetic sky catalogs., La lista completa de autores se encuentra en el documento., Instituto de Astrofísica de La Plata, Facultad de Ciencias Astronómicas y Geofísicas

osmic voids are usually identified in spectroscopic galaxy surveys, where 3D information about the large-scale structure of the Universe is available. Although an increasing amount of photometric data is being produced, its potential for void studies is limited since photometric redshifts induce line-of-sight position errors of ≥50 Mpc h−1 which can render many voids undetectable. We present a new void finder designed for photometric surveys, validate it using simulations, and apply it to the high-quality photo-z redMaGiC galaxy sample of the DES Science Verification data. The algorithm works by projecting galaxies into 2D slices and finding voids in the smoothed 2D galaxy density field of the slice. Fixing the line-of-sight size of the slices to be at least twice the photo-z scatter, the number of voids found in simulated spectroscopic and photometric galaxy catalogues is within 20 per cent for all transverse void sizes, and indistinguishable for the largest voids (Rv ≥ 70 Mpc h−1). The positions, radii, and projected galaxy profiles of photometric voids also accurately match the spectroscopic void sample. Applying the algorithm to the DES-SV data in the redshift range 0.2 < z < 0.8, we identify 87 voids with comoving radii spanning the range 18–120 Mpc h−1, and carry out a stacked weak lensing measurement. With a significance of 4.4σ, the lensing measurement confirms that the voids are truly underdense in the matter field and hence not a product of Poisson noise, tracer density effects or systematics in the data. It also demonstrates, for the first time in real data, the viability of void lensing studies in photometric surveys., Monthly Notices of the Royal Astronomical Society, 465 (1), ISSN:0035-8711, ISSN:1365-2966, ISSN:1365-8711

Newark, New Jersey, is disproportionally affected by HIV with one of the highest prevalence rates in the United States. Rutgers New Jersey Medical School is a major healthcare provider to Newark’s underserved population and has implemented a HIV testing program that can diagnose and link newly diagnosed individuals to care. We conducted a retrospective chart review of all new patients seen in the Infectious Disease Practice from January 1, 2013, to December 31, 2014, to determine the proportion of patients with a missed testing opportunity (MTO) (patients with a new HIV diagnosis with an encounter at the institution in the 1 year prior to their first appointment). 117 newly diagnosed patients were identified. 36 (31%) had at least one MTO. A total of 34 (29%) of newly diagnosed patients had AIDS at presentation and 17% had CD4 counts of 50 cells/μL (p value 0.5). The two most common locations of a missed testing opportunity were the hospital ED (45%) and subspecialty clinics (37%). This study demonstrates that, even in a high prevalence institution with HIV counseling, testing, and referral service, HIV screening is lacking at multiple points of care and patients are missing opportunities for earlier diagnosis and treatment.

The risk factors for post-operative conduction disturbances after heart valve surgery requiring cardiac implantable electronic devices (CIED) remains poorly characterized. We conducted a retrospective cohort study using a mandatory statewide discharge database, New York's Statewide Planning and

Small temperature anisotropies in the Cosmic Microwave Background can be sourced by density perturbations via the late-time integrated Sachs-Wolfe effect. Large voids and superclusters are excellent environments to make a localized measurement of this tiny imprint. In some cases excess signals have been reported. We probed these claims with an independent data set, using the first year data of the Dark Energy Survey in a different footprint, and using a different super-structure finding strategy. We identified 52 large voids and 102 superclusters at redshifts $0.2 < z < 0.65$. We used the Jubilee simulation to a priori evaluate the optimal ISW measurement configuration for our compensated top-hat filtering technique, and then performed a stacking measurement of the CMB temperature field based on the DES data. For optimal configurations, we detected a cumulative cold imprint of voids with $\Delta T_{f} \approx -5.0\pm3.7~\mu K$ and a hot imprint of superclusters $\Delta T_{f} \approx 5.1\pm3.2~\mu K$ ; this is $\sim1.2\sigma$ higher than the expected $|\Delta T_{f}| \approx 0.6~\mu K$ imprint of such super-structures in $\Lambda$CDM. If we instead use an a posteriori selected filter size ($R/R_{v}=0.6$), we can find a temperature decrement as large as $\Delta T_{f} \approx -9.8\pm4.7~\mu K$ for voids, which is $\sim2\sigma$ above $\Lambda$CDM expectations and is comparable to previous measurements made using SDSS super-structure data., Comment: 16 pages, 12 figures. Accepted for publication by MNRAS without further review. Author list updated

Human Granulocytic Anaplasmosis is a traditionally tick borne illness characterized by non-specific symptoms. 63 year old man with medical history of HIV on ART, presented to EO-VAMC with a complaint of cyclic fevers, chills, and diarrhea. Symptoms began with generalized weakness one week prior to presentation. Patient revealed he was a hunter and experienced trauma to his hand while butchering a deer. He denied vomiting, hematemesis, sick contacts, changes in diet, shortness of breath, recent travel or known tick exposure. Patient was tachycardic, ill-appearing and was admitted to MICU. Initial labs were significant for thrombocytopenia, coagulopathy and transaminitis. He was fluid resuscitated and Infectious Disease service was consulted. He was started on broad spectrum antibiotics given his recent hunting injury and possible tick exposure. The patient's clinical status improved throughout his hospital stay and he was discharged on Azithromycin, Atovoquone and Doxycycline. The patient returned to ID clinic two weeks after discharge and reported complete resolution of symptoms. Titers at that time revealed (+) IgM against HGA and re-examination of the peripheral smear revealed intraleukocytic morulae characteristic of Erlichia/Anaplasmosis infection. Given patient's history of trauma while butchering a deer, timeline of symptoms and positive Anaplasmosis serology, diagnosis of HGA with transmission via handling of infected butchered deer meat was made. This case illustrates an uncommon mode of HGA transmission and emphasizes value of obtaining thorough history.

We present cosmological constraints from the Dark Energy Survey (DES) using a combined analysis of angular clustering of red galaxies and their cross-correlation with weak gravitational lensing of background galaxies. We use a 139 square degree contiguous patch of DES data from the Science Verification (SV) period of observations. Using large scale measurements, we constrain the matter density of the Universe as Omega_m = 0.31 +/- 0.09 and the clustering amplitude of the matter power spectrum as sigma_8 = 0.74 +/- 0.13 after marginalizing over seven nuisance parameters and three additional cosmological parameters. This translates into S_8 = sigma_8(Omega_m/0.3)^{0.16} = 0.74 +/- 0.12 for our fiducial lens redshift bin at 0.35, Comment: 18 pages, 13 figures, submitted to MNRAS

Background We examined whether bilateral internal thoracic artery revascularization (BITA) is safe for reoperative coronary revascularization (reop CABG) or primary CABG at age > or = 80 (CABG > or = 80 yrs) as, these two groups are thought to be at higher risk for death or sternal infection. Methods We analyzed 329 such patients between January 1, 1993 and March 31, 2002. These are subgroups of 3200 prospectively New York State risk stratified patients for BITA or SITA (single internal thoracic artery revascularization) of equivalent preoperative risk. In 37/39, BITA > or = 80 since 1996 (1996 > or = 80) the microscope was used and the free right internal thoracic artery was anastomosed to the aorta. Long-term survival was analyzed by Kaplan-Meier curves and in particular among the 36 patients between 1996 and 1997, who were operated five and six years ago (1997 > or = 80). Conclusions Mortality and recuperative difference of BITA versus SITA in the reop CABG and CABG > or = 80 years are negligible, as there was no significant difference in hospital mortality, sternal infections, LOS, or Kaplan-Meier survival curves and average long-term survival. However BITA appears to have long-term advantage over SITA in the newer period and beyond 48 months (1996-1997 > or = 80).

Hybrid revascularization (HR) combines staged percutaneous coronary intervention (PCI) on stenoses in the non-left anterior descending (LAD) territories with minimally invasive direct coronary artery bypass (MIDCAB) using the left internal thoracic artery (LITA) to the LAD. The LITA-to-LAD graft, which has a 5-year patency rate of 95%, is the major determinant of the long-term survival for patients. Thus, HR aims to perform full revascularization without compromising the survival advantage of the LITA-to-LAD graft, while preserving the minimally invasive advantages associated with the percutaneous treatment of symptomatic coronary stenoses. We investigated whether HR was a valid alternative to conventional coronary artery bypass graft surgery in patients with multivessel coronary artery disease. We also present our early experiences with HR using a combined approach of advanced PCI and robotically-assisted MIDCAB.

Multiple clinical, biochemical and immunologic variables were measured in 49 patients with Paget's disease during 4 to 41 months (mean, 25 months) of treatment with porcine (PCT) or synthetic salmon calcitonin (SCT) or both. Mild nausea and dermal reactions occurred in 20 per cent of the patients and were generally transient. Skeletal and radicular pain, and overt neurologic deficits were moderately to dramatically relieved in 75 per cent of the patients. Maximal clinical benefits were achieved during the first 6 to 12 months of treatment, with only one fifth of the patients experiencing intermittent exacerbations of pain during the 2nd and 3rd years of treatment. Three examples of dramatic roentgenologic improvement were observed. SCT doses of 50 MRC units three times a week generally were as effective as 100 MRC units three times a week or daily. Dissociation among the clinical effects, the decrease in serum alkaline phosphatase and the decrease in urinary hydroxyproline were common. Binding antibodies developed in 60 per cent of the patients treated with PCT and in 30 per cent of those treated with SCT; however, SCT-binding antibodies usually were present in higher titer and with a greater frequency of SCT neutralization activity. No correlations were present between the development of antibodies and the incidence of biochemical rebounds or the failure of increased doses of SCT to renew biochemical effects. No evidence of increased secretory activity of the parathyroid glands was observed in 10 patients with biochemical rebounds. These data demonstrate the feasibility and efficacy of continuous long-term therapy with calcitonin on an outpatient basis, and SCT may be the treatment of choice for Paget's disease.

Thirteen patients with Paget's disease of the bone were treated with subcutaneous injections of synthetic salmon calcitonin (SCT) for a mean period of 22 months at doses of 50–100 MRC units daily or 3 times a week. They manifested symptomatic improvement and significant reductions in serum alkaline phosphatase and urinary hydroxyproline excretion during SCT administration. Following discontinuation of SCT, symptomatic improvement was maintained in 10 patients for up to one year, whereas a recurrence of symptoms was seen in only 3 patients. The serum alkaline phosphatase generally showed a return toward pretreatment values 6 months after discontinuation of SCT, whereas urinary hydroxyproline remained depressed for up to a year.