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We demonstrate that highly accurate joint redshift–stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorithm, even with few photometric bands available. As an example, we use the Dark Energy Survey (DES), combined with the COSMOS2015 catalogue for redshifts and stellar masses. We build two ML models: one containing deep photometry in the griz bands, and the second reflecting the photometric scatter present in the main DES survey, with carefully constructed representative training data in each case. We validate our joint PDFs for 10 699 test galaxies by utilizing the copula probability integral transform and the Kendall distribution function, and their univariate counterparts to validate the marginals. Benchmarked against a basic set-up of the template-fitting code bagpipes , our ML-based method outperforms template fitting on all of our predefined performance metrics. In addition to accuracy, the RF is extremely fast, able to compute joint PDFs for a million galaxies in just under 6 min with consumer computer hardware. Such speed enables PDFs to be derived in real time within analysis codes, solving potential storage issues. As part of this work we have developed galpro   1 , a highly intuitive and efficient python package to rapidly generate multivariate PDFs on-the-fly. galpro is documented and available for researchers to use in their cosmology and galaxy evolution studies. [ABSTRACT FROM AUTHOR]

For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estimated. Another component of noise, however, is the signal from the undetected population of stars and galaxies. Using injection of artificial galaxies into images, we demonstrate that the measured variance of galaxy moments (used for weak gravitational lensing measurements) in Dark Energy Survey (DES) images is significantly in excess of the Poisson predictions, by up to 30 per cent, and that the background sky levels are overestimated by current software. By cross-correlating distinct images of 'empty' sky regions, we establish that there is a significant image noise contribution from undetected static sources (US), which, on average, are mildly resolved at DES resolution. Treating these US as a stationary noise source, we compute a correction to the moment covariance matrix expected from Poisson noise. The corrected covariance matrix matches the moment variances measured on the injected DES images to within 5 per cent. Thus, we have an empirical method to statistically account for US in weak lensing measurements, rather than requiring extremely deep sky simulations. We also find that local sky determinations can remove most of the bias in flux measurements, at a small penalty in additional, but quantifiable, noise. [ABSTRACT FROM AUTHOR]

We present a sample of galaxies with the Dark Energy Survey (DES) photometry that replicates the properties of the BOSS CMASS sample. The CMASS galaxy sample has been well characterized by the Sloan Digital Sky Survey (SDSS) collaboration and was used to obtain the most powerful redshift-space galaxy clustering measurements to date. A joint analysis of redshift-space distortions (such as those probed by CMASS from SDSS) and a galaxy–galaxy lensing measurement for an equivalent sample from DES can provide powerful cosmological constraints. Unfortunately, the DES and SDSS-BOSS footprints have only minimal overlap, primarily on the celestial equator near the SDSS Stripe 82 region. Using this overlap, we build a robust Bayesian model to select CMASS-like galaxies in the remainder of the DES footprint. The newly defined DES-CMASS (DMASS) sample consists of 117 293 effective galaxies covering |$1244\,\deg ^2$|⁠. Through various validation tests, we show that the DMASS sample selected by this model matches well with the BOSS CMASS sample, specifically in the South Galactic cap (SGC) region that includes Stripe 82. Combining measurements of the angular correlation function and the clustering- z distribution of DMASS, we constrain the difference in mean galaxy bias and mean redshift between the BOSS CMASS and DMASS samples to be |$\Delta b = 0.010^{+0.045}_{-0.052}$| and |$\Delta z = \left(3.46^{+5.48}_{-5.55} \right) \times 10^{-3}$| for the SGC portion of CMASS, and |$\Delta b = 0.044^{+0.044}_{-0.043}$| and |$\Delta z= (3.51^{+4.93}_{-5.91}) \times 10^{-3}$| for the full CMASS sample. These values indicate that the mean bias of galaxies and mean redshift in the DMASS sample are consistent with both CMASS samples within 1σ. [ABSTRACT FROM AUTHOR]

We use a suite of simulated images based on Year 1 of the Dark Energy Survey to explore the impact of galaxy neighbours on shape measurement and shear cosmology. The HOOPOE image simulations include realistic blending, galaxy positions, and spatial variations in depth and point spread function properties. Using the IM3SHAPE maximum-likelihood shape measurement code, we identify four mechanisms by which neighbours can have a non-negligible influence on shear estimation. These effects, if ignored, would contribute a net multiplicative bias of m ~ 0.03-0.09 in the Year One of the Dark Energy Survey (DES Y1) IM3SHAPE catalogue, though the precise impact will be dependent on both the measurement code and the selection cuts applied. This can be reduced to percentage level or less by removing objects with close neighbours, at a cost to the effective number density of galaxies neff of 30 per cent. We use the cosmological inference pipeline of DES Y1 to explore the cosmological implications of neighbour bias and show that omitting blending from the calibration simulation for DES Y1 would bias the inferred clustering amplitude S8 = s8(Ωm/0.3)0.5 by 2s towards low values. Finally, we use the HOOPOE simulations to test the effect of neighbour-induced spatial correlations in the multiplicative bias. We find the impact on the recovered S8 of ignoring such correlations to be subdominant to statistical error at the current level of precision. [ABSTRACT FROM AUTHOR]

Cosmic shear is sensitive to fluctuations in the cosmological matter density field, including on small physical scales, where matter clustering is affected by baryonic physics in galaxies and galaxy clusters, such as star formation, supernovae feedback, and active galactic nuclei feedback. While muddying any cosmological information that is contained in small-scale cosmic shear measurements, this does mean that cosmic shear has the potential to constrain baryonic physics and galaxy formation. We perform an analysis of the Dark Energy Survey (DES) Science Verification (SV) cosmic shear measurements, now extended to smaller scales, and using the Mead et al. (2015) halo model to account for baryonic feedback. While the SV data has limited statistical power, we demonstrate using a simulated likelihood analysis that the final DES data will have the statistical power to differentiate among baryonic feedback scenarios. We also explore some of the difficulties in interpreting the small scales in cosmic shear measurements, presenting estimates of the size of several other systematic effects that make inference from small scales difficult, including uncertainty in the modelling of intrinsic alignment on non-linear scales, 'lensing bias', and shape measurement selection effects. For the latter two, we make use of novel image simulations. While future cosmic shear data sets have the statistical power to constrain baryonic feedback scenarios, there are several systematic effects that require improved treatments, in order to make robust conclusions about baryonic feedback. [ABSTRACT FROM AUTHOR]

Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg² field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 < S/N < 4. To predict the peak counts as a function of cosmological parameters, we use a suite of N-body simulations spanning 158 models with varying Ωm and σ8, fixing w=-1, Ωb = 0.04, h = 0.7 and ns = 1, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure σ8(Ωm/0.3)0.6 = 0.77 ± 0.07, after marginalizing over the shear multiplicative bias and the error on the mean redshift of the galaxy sample. We introduce models of intrinsic alignments, blending and source contamination by cluster members. These models indicate that peaks with S/N > 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data. [ABSTRACT FROM AUTHOR]

We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Dark Energy Survey (DES). We describe our object selection, point spread function estimation and shear measurement procedures using two independent shear pipelines, IM3SHAPE and NGMIX, which produce catalogues of 2.12 million and 3.44 million galaxies, respectively. We detail a set of null tests for the shear measurements and find that they pass the requirements for systematic errors at the level necessary for weak lensing science applications using the SV data. We also discuss some of the planned algorithmic improvements that will be necessary to produce sufficiently accurate shear catalogues for the full 5-yr DES, which is expected to cover 5000 square degrees. [ABSTRACT FROM AUTHOR]

Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have relied on selecting nearly complete samples, where variations in the composition of the galaxy population with seeing, depth, or other survey characteristics are small. We introduce a new measurement method that aims to minimize this wastage, allowing precision measurement for any class of detectable stars or galaxies. We have implemented our proposal in BALROG, software which embeds fake objects in real imaging to accurately characterize measurement biases. We demonstrate this technique with an angular clustering measurement using Dark Energy Survey (DES) data. We first show that recovery of our injected galaxies depends on a variety of survey characteristics in the same way as the real data. We then construct a fluxlimited sample of the faintest galaxies in DES, chosen specifically for their sensitivity to depth and seeing variations. Using the synthetic galaxies as randoms in the Landy-Szalay estimator suppresses the effects of variable survey selection by at least two orders of magnitude. With this correction, our measured angular clustering is found to be in excellent agreement with that of a matched sample from much deeper, higher resolution space-based Cosmological Evolution Survey (COSMOS) imaging; over angular scales of 0.° 004 < θ < 0.°2, we find a best-fitting scaling amplitude between the DES and COSMOS measurements of 1.00 ± 0.09. We expect this methodology to be broadly useful for extending measurements' statistical reach in a variety of upcoming imaging surveys. [ABSTRACT FROM AUTHOR]

We measure the weak lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey (DES). This pathfinder study is meant to (1) validate the Dark Energy Camera (DECam) imager for the task of measuring weak lensing shapes, and (2) utilize DECam's large field of view to map out the clusters and their environments over 90 arcmin. We conduct a series of rigorous tests on astrometry, photometry, image quality, point spread function (PSF) modelling, and shear measurement accuracy to single out flaws in the data and also to identify the optimal data processing steps and parameters. We find Science Verification data from DECam to be suitable for the lensing analysis described in this paper. The PSF is generally well behaved, but the modelling is rendered difficult by a flux-dependent PSF width and ellipticity. We employ photometric redshifts to distinguish between foreground and background galaxies, and a red-sequence cluster finder to provide cluster richness estimates and cluster-galaxy distributions. By fitting Navarro-Frenk-White profiles to the clusters in this study, we determine weak lensing masses that are in agreement with previous work. For Abell 3261, we provide the first estimates of redshift, weak lensing mass, and richness. In addition, the cluster-galaxy distributions indicate the presence of filamentary structures attached to 1E 0657-56 and RXC J2248.7-4431, stretching out as far as 1°(approximately 20 Mpc), showcasing the potential of DECam and DES for detailed studies of degree-scale features on the sky. [ABSTRACT FROM AUTHOR]

Access to outpatient services within the first 30 days after an inpatient mental health episode may influence relapse risk. A retrospective cohort of 3,755 adult Medicaid mental health inpatients discharged from their first managed care acute episode of care from July 1, 1996, through May 20, 1998, were studied. Results showed patients' utilization of any psychotherapy (OR = .43), medication management (OR = .41), or diagnostic evaluation services (OR = .61), relative to no utilization, was associated with significantly lower 30-day readmission rates, and longer times in remission. However, patients receiving above the median total number of ambulatory services, or having contact with more providers showed significantly greater likelihood of 30-day readmission, and shorter time in remission. Findings heighten the need for the availability of timely risk-reducing mental health outpatient services, the continuity and risk of fragmentation of therapeutic relationships, as well as crisis planning before an inpatient discharge. [ABSTRACT FROM AUTHOR]

Purpose: Automated pupillometry (AP) facilitates objective pupillary assessment. In this study, we aimed at assessing nursing perspective about the utility of AP in neurocritically ill children to understand acceptance and usage barriers to guide development of a standardized use protocol., Methods: We conducted a web-based, cross-sectional, anonymous, Google™ survey of nurses at two independent pediatric ICUs which have been using AP over last four years. The survey included questions related to user-friendliness, barriers, acceptance, frequency of use, and method of documenting AP findings., Results: A total of 31 nurses responded to the survey. A total of 25 nurses (80.6%) used the automated pupillometer and 19 (61.3%) nurses preferred to use the automated pupillometer on critically ill intubated patients. Respondents rated the pupillometer a median [IQR] frequency of use of 7/10 [4-9] and a mean user-friendliness of 8/10 [7-10]. Barriers to pupillometer use included pupillometer unavailability, technical issues, lack of perceived clinical significance, and infection control., Conclusion: Nurses have widely adopted the use of automated pupillometer in the PICU especially for critically ill intubated patients and rate it favorably for user-friendliness. Barriers against its use include limited resources, infection concerns, technical issues, and a lack of perceived clinical significance and training. Implementation of standardized PICU protocol for AP usage in critically ill children, may enhance the acceptance, increase usage and aid in objective assessments., Practice Implications: These findings can be used to create a standardized protocol on implementing automated pupillometry in the PICU for critically ill children., Competing Interests: Declaration of competing interest None of the authors have any conflicts of interest to disclose., (Published by Elsevier Inc.)

Aim/objective Neurological Pupil Index (NPi), measured by automated pupillometry (AP), allows the objective assessment of pupillary light reflex (PLR). NPi ranges from 0 (non-reactive) to 5 (normal). In this study, we aimed to compare neurologic and functional outcomes in children admitted for neurologic injury with normal (≥3) versus abnormal (<3) NPi measured during their pediatric intensive care unit (PICU) stay. Materials and methods We conducted a retrospective chart review of children between one month and 18 years admitted to our PICU with a diagnosis of neurologic injury between January 2019 and June 2022. We collected demographic, clinical, pupillometer, and outcome data, including mortality, Pediatric Cerebral Performance Category (PCPC), Pediatric Overall Performance Category (POPC), and Functional Status Score (FSS) at admission, at discharge, and at the three to six-month follow-up. We defined abnormal pupil response as any NPi <3 at any point during the PICU stay. Using the student's t-test and chi-square test, we compared the short-term and long-term outcomes of children with abnormal NPi (<3) versus those with normal NPi (≥3). Results There were 49 children who met the inclusion criteria and who had pupillometry data available for analysis. The mean (SD) Glasgow Coma Scale (GCS) in the study cohort was 5.6 (4.3), and 61% had low (<3) NPi during ICU stay. Mortality was significantly higher among patients with an abnormal NPi as compared to those with normal NPi. Children with abnormal NPi exhibited significant worsening of neurologic and functional status (ΔPCPC, ΔPOPC, and ΔFSS) from admission to discharge (mean (SD): 3.55(1.5), 3.45(1.43), 16.75(7.85), p<0.001) as compared to those with normal NPi (mean (SD): 1.45(0.93), 1.73(0.90), 3.55(2.07), p>0.05). The significant difference in neurologic and functional status persisted at the three to six-month follow-up between the two groups - children with abnormal NPi (mean (SD): 2.0(1.41), 2.08(1.38), 6.92(6.83), p<0.01) and children with normal NPi (mean (SD): 0.82(1.01), 0.94(1.03), 1.53(1.70), p>0.05). Conclusion In our retrospective cohort study, children admitted to the PICU for a neuro injury and with abnormal NPi (< 3) have higher mortality, and worse short-term and long-term neurologic and functional outcomes as compared to those with normal NPi (≥ 3) measured during the PICU course. AP provides an objective assessment of PLR and has potential applications for neuro-prognostication. More research needs to be done to elucidate the prognostic value of NPi in pediatrics., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Jiang et al.)

The occurrence of antibiotic-resistant bacteria (ARB) in wastewater treatment plants (WWTPs) has become an occupational and environmental concern. WWTPs are engineered systems that treat wastewater to meet public health standards before release into the environment. The residuals, as either effluent or solids, are then discharged or beneficially recycled into the environment. Since these wastes contain a diverse array of microorganisms, some of which are resistant to commonly used antibiotics, there is a potential for these organisms to spread in the environment via residual recycling and effluent discharge. Human infections with ARB are increasing, and it is not well known how the interaction between humans and the environment plays a role in this process. WWTP workers, who are on the front lines, may come into direct contact with materials containing these microbes. This study aimed to determine the number of ARB present in both air and sewage sludges in a WWTP using nonselective media supplemented with two antibiotics (ciprofloxacin and azithromycin). The densities of total heterotrophic bacteria, ciprofloxacin-resistant bacteria, and azithromycin-resistant bacteria were 7.82 × 10 5 - 4.7 × 10 9 , 7.87 × 10 3 - 1.05 × 10 8 , and 2.27 × 10 5 - 1.16 × 10 9 CFU/g, respectively. The prevalence [(concentration on medium with antibiotics/concentration on medium without antibiotics) × 100] of ciprofloxacin-resistant bacteria in treated sludge was twice as low as in digested sludge and approximately three times lower than in raw sludge. For azithromycin, the prevalence of resistant bacteria in treated sludge was about the same in digested and nearly twice lower than in raw sludge. Despite a marked reduction in the mean prevalence of resistant bacteria in dewatered treated sludge for both antibiotics, these differences were not significant. The highest prevalence of antibiotic resistance was observed for azithromycin. Similarly, the prevalence of airborne azithromycin-resistant bacteria inside the belt filter press room (BFPR) was nearly seven times higher than the prevalence of airborne ciprofloxacin-resistant bacteria. These concentrations of ARB were not negligible and may represent an exposure pathway for some workers in WWTPs.

Background and Objectives: Antibiotic overuse is associated with adverse neonatal outcomes. Many medically underserved centers lack pediatric antibiotic stewardship program (ASP) support. Telestewardship may mitigate this disparity. Authors of this study aimed to determine the effectiveness and safety of a nursery-specific ASP delivered remotely., Methods: Remote ASP was implemented in 8 medically underserved newborn nurseries using a stepped-wedge, cluster-randomized design over 3 years. This included a 15-month baseline period, a 9-month "step-in" period using random nursery order, and a 12-month postintervention period. The program consisted of education, audit, and feedback; and 24/7 infectious diseases provider-to-provider phone consultation availability. Outcomes included each center's volume of antibiotic use and the proportion of infants exposed to any antibiotics. Safety measures included length of stay, transfer to another facility, sepsis, and mortality., Results: During the study period, there were 9277 infants born (4586 preintervention, 4691 postintervention). Infants exposed to antibiotics declined from 6.2% pre-ASP to 4.2% post-ASP (relative risk 0.68 [95% confidence interval, 0.63% to 0.75%]). Total antibiotic use declined from 117 to 84.1 days of therapy per 1000 patient-days (-28% [95% confidence interval -22% to -34%]. No safety signals were observed. Most provider-to-provider consultations were <5 minutes in duration and occurred during normal business hours., Conclusions: The number of infants exposed to antibiotics and total antibiotic use declined in medically underserved nurseries after implementing a remote ASP. No adverse safety events were seen, and the remote ASP time demands were manageable. Remote stewardship may be a safe and effective strategy for optimizing antibiotic use in medically underserved newborn nurseries., (Copyright © 2022 by the American Academy of Pediatrics.)

Background: Surgical repair of primary mitral regurgitation (MR) is considered an indicator of quality performance. Therefore, accurate data reporting is critical for quality assessment. During an institutional quality review, MR etiology could not be determined in 40% of operations in The Society of Thoracic Surgeons database entries, and therefore our true repair rate could not be reliably ascertained. Therefore, we reviewed all source documents and echocardiograms to assess our true disease etiology and repair rate., Methods: Source records and echocardiograms of all operations performed in a single health care system for a 1-year period were reviewed by an experienced mitral valve surgeon, an echocardiographic core laboratory, and a data manager. Disease etiology and operation were compared with data previously entered in the database by post hoc chart abstraction., Results: In all, 314 isolated mitral valve operations were performed. The MR was originally classified as primary, 163 (52%); secondary, 22 (7%); rheumatic, 37 (12%); endocarditis, 24 (8%); other, 33 (10%); and unknown, 35 (11%). Reported repair rate for primary MR was 142 of 163 (87.1%). After review, etiology was determined to be primary, 177 (56%); secondary, 33 (11%); rheumatic, 61 (20%); endocarditis, 25 (8%); and others, 18 (5%)-resulting in a change of classification in 99 of 314 patients (31.5%) and a true repair rate for primary MR of 165 of 177 (93.2%)., Conclusions: Source document and imaging review of mitral valve surgery revealed significant discordance with post hoc chart abstraction methods. A more detailed data entry methodology is necessary to accurately report the true disease etiology and repair rates for primary MR., (Copyright © 2020 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Functional cilia and flagella are crucial to the propulsion of physiological fluids, motile cells, and microorganisms. Motility assessment of individual cells allows discrimination of normal from dysfunctional behavior, but cell-scale analysis of individual trajectories to represent a population is laborious and impractical for clinical, industrial, and even research applications. We introduce an assay that quantifies swimming capability as a function of the variation in polar moment of inertia of cells released from an acoustic trap. Acoustic confinement eliminates the need to trace discrete trajectories and enables automated analysis of hundreds of cells in minutes. The approach closely approximates the average speed estimated from the mean squared displacement of individual cells for wild-type Chlamydomonas reinhardtii and two mutants (ida3 and oda5) that display aberrant swimming behaviors. Large-population acoustic trap-and-release rapidly differentiates these cell types based on intrinsic motility, which provides a highly sensitive and efficient alternative to conventional particle tracing.

To test the hypothesis that drugs of abuse and their conditioned stimuli (CSs) enhance memory consolidation, the effects of post-training exposure to cocaine and nicotine were compared to the effects of post-training exposure to contextual stimuli that were paired with the effects of these drugs. Using the object recognition (OR) task, it was first demonstrated that both 10 and 20 mg/kg cocaine, and 0.2 and 0.4 mg/kg nicotine, enhanced recognition memory when administered immediately after, but not 6 h after the sample phase. To establish the drug CSs, rats were confined for 2 h in a chamber (the CS+) after injections of 20 mg/kg cocaine, or 0.4 mg/kg nicotine, and in another chamber (the CS-) after injections of vehicle. This was repeated over 10 d (5 drug/CS+ and 5 vehicle/CS- pairings in total). At the end of this conditioning period, when tested in a drug-free state, rats displayed conditioned hyperactivity in the CS+ relative to the CS-. More important, immediate, but not delayed, post-sample exposure to the cocaine CS+, or nicotine CS+, enhanced OR memory. Therefore, this study reports for the first time that contextual stimuli paired with cocaine and nicotine, like the drugs themselves, have the ability to enhance memory consolidation., (© 2019 Wolter et al.; Published by Cold Spring Harbor Laboratory Press.)

The Centers for Medicare and Medicaid Services National Coverage Determination requires centers performing transcatheter aortic valve implantation (TAVI) to report clinical outcomes up to 1 year. Many sites encounter challenges in obtaining complete 1-year follow-up. We report our process to address this challenge. A multidisciplinary process involving clinical personnel, data and quality managers, and research coordinators was initiated to collect TAVI data at baseline, 30 days, and 1 year. This process included (1) planned clinical follow-up of all patients at 30 days and 1 year; (2) query of health-care system-wide integrated data warehouse (IDW) to ascertain last date of clinical contact within the system for all patients; (3) online obituary search, cross-referencing for unique patient identifiers to determine if mortality occurred in remaining unknown patients; and (4) phone calls to remaining unknown patients or patients' families. Between January 2012 and December 2016, 744 patients underwent TAVI. All 744 patients were eligible for 30-day follow-up and 546 were eligible for 1-year follow-up. At routine clinical follow-up of 22 of 744 (3%) patients at 30 days and 180 of 546 (33%) patients at 1 year had unknown survival status. The integrated data warehouse query confirmed status-alive for an additional 1 of 22 patients at 30 days (55%) and 91 of 180 patients at 1 year (51%). Obituaries were identified for 23 of 180 additional patients at 1 year (13%). Phone contact identified the remaining unknown patients at 30 days and 1 year, resulting in 100% known survival status for patients at 30 days (744 of 744) and at 1 year (546 of 546). In conclusion, using a comprehensive approach, we were able to determine survival status in 100% of patients who underwent TAVI., (Copyright © 2017 Elsevier Inc. All rights reserved.)

New microtubule depolymerizing agents with potent cytotoxic activities have been prepared with a 5-cyano or 5-oximino group attached to a pyrrole core. The utilization of ortho activation of a bromopyrrole ester to facilitate successful Suzuki-Miyaura cross-coupling reactions was a key aspect of the synthetic methodology. This strategy allows for control of regiochemistry with the attachment of four completely different groups at the 2, 3, 4 and 5 positions of the pyrrole scaffold. Biological evaluations and molecular modeling studies are reported for these examples., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Cell culture based assays used to detect waterborne viruses typically call for incubating the sample for at least two weeks in order to ensure that all the culturable virus present is detected. Historically, this estimate was based, at least in part, on the length of time used for detecting poliovirus. In this study, we have examined A549 cells infected with human adenovirus type 2, and have found that a three week incubation of virus infected cells results in a higher number of detected viruses by quantal assay than what is seen after two weeks of incubation, with an average 955% increase in Most Probable Number (MPN) from 2 weeks to 3 weeks. This increase suggests that the extended incubation time is essential for accurately estimating viral titer, particularly for slow-growing viruses, UV treated samples, or samples with low titers of virus. In addition, we found that for some UV-treated samples, there was no detectable MPN at 2 weeks, but after 3 weeks, MPN values were obtained. For UV-treated samples, the average increase in MPN from 2 weeks to 3 weeks was 1401%, while untreated samples averaged a change in MPN of 674%, leading us to believe that the UV-damaged viral DNA may be able to be repaired such that viral replication then occurs., (Published by Elsevier B.V.)

Background: Many lower limb amputees experience thermal discomfort as a result of wearing a prosthesis. The development of new prosthetic technology to address thermal discomfort requires an understanding of how activity (or inactivity) affects residual limb skin temperatures and how skin temperatures are mapped across the skin-prosthesis interface., Questions/purposes: We studied skin temperatures inside the socket and suspension system of unilateral transtibial amputees to determine the following: (1) Does residual limb skin temperature change as a function of activity and its cessation? (2) If changes occur, are there regional differences (circumferential or proximal-distal) in temperature?, Methods: Nine unilateral transtibial amputees provided informed consent to participate in this institutional review board-approved study. Residual limb skin temperatures inside their prosthesis were measured at 16 distributed sites using thermistor sensors and a portable data acquisition system. The 150-minute protocol began with a 60-minute seated rest, continued with a 30-minute treadmill walk at a self-selected speed, and concluded after a second 60-minute seated rest. Data from the last minute of each of the three periods were used for analysis., Results: The skin temperature was 31.0° ± 1.5° C (mean ± SD) at the end of the initial rest period. After 30 minutes of treadmill walking, skin temperature increased to 34.1° ± 1.3° C, an increase of 3.1° C (95% confidence interval [CI], 2.4-3.8; p < 0.001). After the final 60 minutes of rest, the skin temperature was 33.2° ± 1.2° C, 0.9° C lower (95% CI, 0.5-1.2; p < 0.001) than at the end of treadmill walking but 2.2° C higher (95% CI, 1.4-2.9; p < 0.001) than the temperature observed at the end of the initial rest period. Skin temperatures were warmest over the tibialis anterior region (p < 0.006) and decreased from the most proximal to the most distal locations on the residual limb (p = 0.001)., Conclusions: Walking causes a dramatic increase in skin temperatures inside the prosthesis and subsequent rest of twice the walking duration fails to return temperatures to their initial condition. Rest alone is likely to be insufficient to provide thermal relief without doffing the prosthesis. New prosthetic technology is needed to address this problem. Skin temperatures also varied by residual limb location, suggesting that the development of location-specific technology would be advantageous.

Background: Patients started on long term hemodialysis have typically had low rates of reported renal recovery with recent estimates ranging from 0.9-2.4% while higher rates of recovery have been reported in cohorts with higher percentages of patients with acute renal failure requiring dialysis., Study Design: Our analysis followed approximately 194,000 patients who were initiated on hemodialysis during a 2-year period (2008 & 2009) with CMS-2728 forms submitted to CMS by dialysis facilities, cross-referenced with patient record updates through the end of 2010, and tracked through December 2010 in the CMS SIMS registry., Results: We report a sustained renal recovery (i.e no return to ESRD during the available follow up period) rate among Medicare ESRD patients of > 5% - much higher than previously reported. Recovery occurred primarily in the first 2 months post incident dialysis, and was more likely in cases with renal failure secondary to etiologies associated with acute kidney injury. Patients experiencing sustained recovery were markedly less likely than true long-term ESRD patients to have permanent vascular accesses in place at incident hemodialysis, while non-White patients, and patients with any prior nephrology care appeared to have significantly lower rates of renal recovery. We also found widespread geographic variation in the rates of renal recovery across the United States., Conclusions: Renal recovery rates in the US Medicare ESRD program are higher than previously reported and appear to have significant geographic variation. Patients with diagnoses associated with acute kidney injury who are initiated on long-term hemodialysis have significantly higher rates of renal recovery than the general ESRD population and lower rates of permanent access placement.

25 undergraduate listeners judged that a male speaker with normal speech, who dentalized (lisped) or devoiced the /z/ phoneme in the context of a sentence, sounded significantly more "gay" in terms of judged sexual orientation than did the same speaker producing /z/ without phonological processes. Speech-language pathologists should be aware of possible social consequences of speech production disorders.

The relation of reading rate and rapid automatic naming (RAN) for pictures was investigated for 31 third graders. Reading rate was measured as the number of seconds required for reading aloud a third-grade passage. Rapid automatic naming was assessed with the RAN portion of the Woodcock Johnson III Tests of Cognitive Abilities. A moderate correlation of -.61 between the sets of scores suggests RAN assessment may be useful in screening for reading deficits in third-grade children.