Nielsen (United States)

Abstract A detailed analysis of the structural, astrophysical, kinematic, and dynamical properties of the open clusters Roslund 3 and Ruprecht 174 is carried out using CCD UBV photometry in conjunction with astrometric and photometric data from Gaia DR3. Membership probabilities were computed via the UPMASK algorithm applied to Gaia proper motions and trigonometric parallaxes, leading to the identification of 198 likely members for Roslund 3 and 397 for Ruprecht 174. Astrophysical parameters were derived using both the classical approach, where parameters are independently determined, and a Markov chain Monte Carlo technique, which estimates them simultaneously. The agreement between the results from both methods confirms their reliability and highlights the robustness of the classical method. The reddening values were determined as E(B − V) = 0.410 ± 0.046 mag for Roslund 3 and E(B − V) = 0.615 ± 0.042 mag for Ruprecht 174. The estimated distances are d = 1687 ± 121 pc for Roslund 3 and d = 2385 ± 163 pc for Ruprecht 174. Both clusters exhibit metallicities close to the solar value, with [Fe/H] = 0.030 ± 0.065 dex for Roslund 3 and [Fe/H] = 0.041 ± 0.064 dex for Ruprecht 174. The corresponding ages were found to be τ = 60 ± 6 and τ = 520 ± 50 Myr, respectively. The present-day mass function slopes were found to be 1.18 ± 0.13 for Roslund 3 and 1.53 ± 0.30 for Ruprecht 174, consistent with the canonical Salpeter value within uncertainties. Galactic orbital analyses indicate that both clusters are thin-disk members confined within the Solar circle. Additionally, relaxation times and spatial distributions of stars suggest that both clusters have reached dynamical relaxation and exhibit clear signs of mass segregation.

Natural resource managers model plant and animal climate vulnerability to efficiently plan and prioritize conservation actions. We assessed a commonly used online decision support tool, NatureServe’s Climate Change Vulnerability Index (CCVI) and its sensitivity to different generations of climate models, socioeconomic climate scenarios, and different types and scales of spatial data. Our goal was to help mangers better interpret CCVI species vulnerability rankings and provide a workflow for generating the required climate metrics when those data are not already calculated. We found vulnerability scores were much larger when using an older generation as compared to a newer generation of climate projections, especially for water associated species. Socioeconomic climate scenarios were very important and resulted in differences of 130% between optimistic and pessimistic scenarios. Hence, we caution when comparing across studies to consider the generation of climate models and scenarios because the scores may not be directly comparable. The online tool was robust to the type and scale of spatial data. However, this data is only applied in calculating exposure and is not included in species specific sensitivity via adaptive capacity. Consequently, we suggest that managers use range size as an index of adaptive capacity when interpreting similar scores. Overall, we find the species climate vulnerability model supported by NatureServe a valuable and robust assessment that is easy to use and provides an objective method for prioritizing conservation action and justifying these actions to policy makers and the general public.

Floor space optimization is a critical revenue management problem commonly encountered by retailers. It maximizes store revenue by optimally allocating floor space to product categories which are assigned to their most appropriate planograms. We formulate the problem as a connected multi-choice knapsack problem with an additional global constraint and propose a tabu search based meta-heuristic that exploits the multiple special neighborhood structures. We also incorporate a mechanism to determine how to combine the multiple neighborhood moves. A candidate list strategy based on learning from prior search history is also employed to improve the search quality. The results of computational testing with a set of test problems show that our tabu search heuristic can solve all problems within a reasonable amount of time. Analyses of individual contributions of relevant components of the algorithm were conducted with computational experiments.

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Objective:The aim of this study was to determine 1) whether bullying is related to all-cause disability retirement, 2) whether bullying contributes to the variance in disability retirement above high job demands and lack of job control, and 3) to establish gender differences in the relationship.Methods:Survey data from 14,501 Norwegian employees on exposure factors linked to registry data on all-cause disability retirement.Results:Bullying significantly predicted risk of disability retirement (hazard ratio = 1.55; 95% confidence interval = 1.13 to 2.12). This relationship remained statistically significant after adjusting for job demands and lack of job control. Women had the highest risk of disability, but both bullied men and women had a higher risk of disability than nonbullied employees of the same gender.Conclusion:Bullying is a risk factor for disability retirement. Measures taken to prevent bullying may be beneficial for reducing both health problems and disability retirement.

To determine return to work (RTW) after severe traumatic brain injury (TBI) and to compare long-term labor market attachment (LMA) with the general population. All persons aged 18 to 64 years who received highly specialized neurorehabilitation after severe TBI between 2004 and 2012 (n = 637) were matched to general population controls on age, sex, preinjury employment status, educational level, and residence (n = 2497). Nationwide follow-up study using weekly records on public assistance benefits. Both RTW and LMA were defined as having no public assistance benefits except education grants/leave. Stable LMA was defined as weeks with LMA of 75% or more. LMA among persons with severe TBI and controls was compared using multivariable conditional logistic regression. RTW mainly occurred within first 2 years after severe TBI, with 30% of the people attempting RTW and 16% achieving stable LMA within 2 years. The prevalence of people with LMA decreased to 11% from 2½ years to 5 years postinjury. Adjusted odds ratios were 0.01 for LMA up to 2 years postinjury and 0.05 for stable LMA for persons with severe TBI compared with the general population. Both RTW and long-term LMA after severe TBI were low in Denmark when compared with the general population and other countries.

NEW FEATURES Gains new functions occ_download_datasets and occ_download_dataset_activity to list datasets for a download, and list the downloads activity of a dataset (#275) (#276) Gains a new vignette covering working with GBIF downloads in rgbif (#262) MINOR IMPROVEMENTS Guidance added to docs for downloads functions on length of the request body (#263) Changed authentication details (user name, password, email) for downloads to allow any of the options: pass in as arguments, store as R options, store as environment variables (#187) gbif_citation() function gains an S3 method for passing the output of occ_download_meta() to it. In addition, for downloads gbif_citation() now returns a citation for the entire download (including) its DOI, in addition to citations for each dataset (#274) thanks @dnoesgaard BUG FIXES Fix documentation bug in occ_count() : georeferenced had a misleading description of what the value FALSE did (#265) Fixed bug in gbifmap() - was failing in some cases - better error handlingn now (#271) thanks @TomaszSuchan Fixed occ_download_cancel_staged() : it wasn't passing on authentication parameters correctly (#280)

Ultrasound shear wave elastography is emerging as an important imaging modality for evaluating tissue material properties. In its practice, some systematic biases have been associated with ultrasound frequencies, focal depths and configuration, and transducer types (linear versus curvilinear), along with displacement estimation and shear wave speed estimation algorithms. Added to that, soft tissues are not purely elastic, so shear waves will travel at different speeds depending on their spectral content, which can be modulated by the acoustic radiation force (ARF) excitation focusing, duration, and the frequency-dependent stiffness of the tissue. To understand how these different acquisition and material property parameters may affect the measurements of shear wave velocity, the simulations of the propagation of shear waves generated by ARF excitations in viscoelastic media are a very important tool. This paper serves to provide an in-depth description of how these simulations are performed. The general scheme is broken into three components: 1) simulation of the 3-D ARF push beam; 2) applying that force distribution to a finite-element model; and 3) extraction of the motion data for post-processing. All three components will be described in detail and combined to create a simulation platform that is powerful for developing and testing algorithms for academic and industrial researchers involved in making quantitative shear-wave-based measurements of tissue material properties.

SummaryWe investigated reasons for non-treatment of osteoporosis and discontinuation of osteoporosis therapy. Barriers to treatment include patients’ preference for alternative treatments and a fear of possible side effects. Side effects are a common reason for treatment discontinuation, and they may be associated with a lack of willingness to restart treatment.Purpose/introductionOsteoporosis patients commonly cite treatment-related side effects, or the fear thereof, as a reason for discontinuing or not initiating anti-osteoporosis medications. The purpose of this study was to investigate, from the patient’s perspective, reasons for (i) non-treatment of osteoporosis and (ii) discontinuation of osteoporosis therapy.MethodsThis was an internet-based survey of postmenopausal women in the USA who self-reported having been diagnosed with osteoporosis. Respondents were recruited from consumer research panels and received nominal compensation.ResultsWithin the surveyed population (N = 1407), 581 patients were currently being treated, 503 had never been treated, and 323 had previously been treated. Among patients never treated for osteoporosis, the highest ranking reasons for non-treatment were the use of alternative treatments such as over-the-counter vitamins/supplements (57.5 % of respondents) and fear of side effects (43.9 %). Among previously treated patients, frequent reasons for discontinuation included the direction of the physician (41.2 % of respondents), concerns about long-term safety (30.3 %), and the experience of side effects (29.8 %). When asked about their willingness to restart their osteoporosis medication, previously treated patients who were not willing (N = 104) to restart had a higher frequency of experiencing side effects (44.2 versus 20.5 % of those willing; P < 0.001).ConclusionsFrom the osteoporosis patient’s perspective, barriers to prescription treatment include a preference for alternative, non-prescription treatments and a fear of possible side effects. Side effects are one of the most common reasons for discontinuing osteoporosis medications, and they appear to be associated with a lack of willingness to restart treatment.Electronic supplementary materialThe online version of this article (doi:10.1007/s11657-016-0272-5) contains supplementary material, which is available to authorized users.