1,476 research outputs found

    Publix Supermarkets, Inc.

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    All traditional brick-and-mortar retailers are struggling with how best to deal with threats from online retailers. However, the supermarket industry is also dealing with pressure from new foreign entrants like Aldi and Lidl. Perhaps nowhere is this more evident than in the southeastern United States, where Publix operates. Publix is an employee-owned supermarket chain with excellent service, high margins and strong growth in sales and profits. The company has also had some success with Internet offerings. However, is the company’s business model going to sustain it in this increasingly competitive industry, or are changes needed? This case focuses on the entrance of Publix into the Richmond Virginia market

    Uber

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    Uber focuses primarily on the ride-hailing industry, which puts the company in direct competition with regular taxis. The company is like a lot of tech-driven, fast growing entrepreneurial firms in that it still struggles for profitability. Also, the popularity of this new form of transportation has put the company and its close competitors, such as Lyft, in the spotlight of government lawmakers and regulators. If they classify Uber drivers as employees rather than independent contractors, it could dramatically alter the Uber business model. This case is written in the aftermath of the ouster of one of the company’s co-founders as CEO, a not-so-successful initial public offering (IPO), and some very serious human resources issues associated with widely publicized instances of sexual harassment and mistreatment of drivers

    Screening for - and prevalence of - anxiety and depression in cardiac rehabilitation in the post-COVID era. An observational study

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    BACKGROUND: Approximately 20-30% of patients with a cardiac disease suffer from anxiety and/or depression, leading to poor health outcomes. To identify this subgroup, clinical guidelines recommend screening for anxiety and depression in cardiac rehabilitation (CR). It is unknown how screening practice is delivered post-COVID. METHODS: This observational study used data from the National Audit of Cardiac Rehabilitation from April 2018-March 2022. Descriptive statistics were used to assess screening rates and prevalence, while a multivariate logistic regression model was performed to analyse determinants for screening for anxiety and depression among patients participating in cardiac rehabilitation. RESULTS: The population consisted of 245,705 patients, where 128,643 (52.4%) were screened and 117,062 (47.6%) were not. Patients attending CR during first year of COVID-19 were less likely to be screened. Patients with female gender, living alone, non-white ethnicity, living in the most deprived areas, current smoking, and physical inactivity were less likely to be screened, while patients who were revascularized, having an objective physical fitness test, and attending a certified CR center were more likely to be screened. For patients attending CR during COVID-19, the prevalence of anxiety and depression decreased significantly. For anxiety the prevalence dropped from 34.4% to 15.8%, for depression the prevalence dropped from 33.5% to 16.5%. CONCLUSION: CR service provision was negatively impacted during COVID-19, leading to much lower screening for anxiety and depression in the CR setting. Prevalence of anxiety and depression decreased during COVID-19 for this population, possibly because psychologically affected patients refrained from attending CR

    Does the mode of delivery in Cardiac Rehabilitation determine the extent of psychosocial health outcomes?

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    BACKGROUND: Cardiac Rehabilitation (CR) is a multicomponent tailored intervention aiming to reduce lifestyle risk factors and promote health in patients post cardiovascular disease. CR is delivered either as supervised or facilitated self-delivered yet little evidence exists evaluating the association between mode of delivery and outcomes. METHODS: This observational study used data routinely collected from the National Audit of Cardiac Rehabilitation from April 2012-March 2016. The analysis compared the populations receiving supervised and facilitated self-delivered modes for differences in baseline demographics, four psychosocial health measures pre and post CR and changes in anxiety, depression and quality of life following the intervention. The analysis also modelled the relationship between mode and outcomes, accounting for covariates such as age, gender, duration and staffing. RESULTS: The study contained 120,927 patients (age 65, 26.5 female) with 82.2% supervised and 17.8% self-delivered. The analysis showed greater proportion of females, employed and older patients in the self-delivered group. Following CR, patients in both groups demonstrated positive changes which were of comparable size. The regression model showed no significant association between mode of delivery and outcome in all four psychosocial outcomes when accounting for covariates (p-value>0.0.5). CONCLUSIONS: Patients benefited from attending both modes of CR showing improved psychosocial health outcomes with 3-76% change from baseline. Over half of CR programmes in the UK do not provide self-delivered CR yet this mode is known to reach older patients, female and employed patients. Facilitated self-delivered CR should be offered and supported as a genuine option, alongside supervised CR, by clinical teams

    Method for Flavor Tagging in Neutral B Meson Decays

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    A method is proposed for tagging the flavor of neutral BB mesons in the study of CP-violating decay asymmetries. The method makes use of a possible difference in interactions in BπB \pi or B∗πB^* \pi systems with isospins 1/2 and 3/2, and would be particularly clean if the I=1/2I = 1/2 systems can be detected as ``B∗∗B^{**}'' resonances.Comment: Submitted to Phys. Rev. D. 11 pages, LaTeX, Technion-PH-92-40 / PITHA 92/39 / EFI 92-5

    A Revised Design for Microarray Experiments to Account for Experimental Noise and Uncertainty of Probe Response

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    Background Although microarrays are analysis tools in biomedical research, they are known to yield noisy output that usually requires experimental confirmation. To tackle this problem, many studies have developed rules for optimizing probe design and devised complex statistical tools to analyze the output. However, less emphasis has been placed on systematically identifying the noise component as part of the experimental procedure. One source of noise is the variance in probe binding, which can be assessed by replicating array probes. The second source is poor probe performance, which can be assessed by calibrating the array based on a dilution series of target molecules. Using model experiments for copy number variation and gene expression measurements, we investigate here a revised design for microarray experiments that addresses both of these sources of variance. Results Two custom arrays were used to evaluate the revised design: one based on 25 mer probes from an Affymetrix design and the other based on 60 mer probes from an Agilent design. To assess experimental variance in probe binding, all probes were replicated ten times. To assess probe performance, the probes were calibrated using a dilution series of target molecules and the signal response was fitted to an adsorption model. We found that significant variance of the signal could be controlled by averaging across probes and removing probes that are nonresponsive or poorly responsive in the calibration experiment. Taking this into account, one can obtain a more reliable signal with the added option of obtaining absolute rather than relative measurements. Conclusion The assessment of technical variance within the experiments, combined with the calibration of probes allows to remove poorly responding probes and yields more reliable signals for the remaining ones. Once an array is properly calibrated, absolute quantification of signals becomes straight forward, alleviating the need for normalization and reference hybridizations

    BAs and boride III-V alloys

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    Boron arsenide, the typically-ignored member of the III-V arsenide series BAs-AlAs-GaAs-InAs is found to resemble silicon electronically: its Gamma conduction band minimum is p-like (Gamma_15), not s-like (Gamma_1c), it has an X_1c-like indirect band gap, and its bond charge is distributed almost equally on the two atoms in the unit cell, exhibiting nearly perfect covalency. The reasons for these are tracked down to the anomalously low atomic p orbital energy in the boron and to the unusually strong s-s repulsion in BAs relative to most other III-V compounds. We find unexpected valence band offsets of BAs with respect to GaAs and AlAs. The valence band maximum (VBM) of BAs is significantly higher than that of AlAs, despite the much smaller bond length of BAs, and the VBM of GaAs is only slightly higher than in BAs. These effects result from the unusually strong mixing of the cation and anion states at the VBM. For the BAs-GaAs alloys, we find (i) a relatively small (~3.5 eV) and composition-independent band gap bowing. This means that while addition of small amounts of nitrogen to GaAs lowers the gap, addition of small amounts of boron to GaAs raises the gap (ii) boron ``semi-localized'' states in the conduction band (similar to those in GaN-GaAs alloys), and (iii) bulk mixing enthalpies which are smaller than in GaN-GaAs alloys. The unique features of boride III-V alloys offer new opportunities in band gap engineering.Comment: 18 pages, 14 figures, 6 tables, 61 references. Accepted for publication in Phys. Rev. B. Scheduled to appear Oct. 15 200

    Caterpillars on a Phytochemical Landscape: The Case of Alfalfa and the Melissa Blue Butterfly

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    Modern metabolomic approaches that generate more comprehensive phytochemical profiles than were previously available are providing new opportunities for understanding plant‐animal interactions. Specifically, we can characterize the phytochemical landscape by asking how a larger number of individual compounds affect herbivores and how compounds covary among plants. Here we use the recent colonization of alfalfa (Medicago sativa) by the Melissa blue butterfly (Lycaeides melissa) to investigate the effects of indivdiual compounds and suites of covarying phytochemicals on caterpillar performance. We find that survival, development time, and adult weight are all associated with variation in nutrition and toxicity, including biomolecules associated with plant cell function as well as putative anti‐herbivore action. The plant‐insect interface is complex, with clusters of covarying compounds in many cases encompassing divergent effects on different aspects of caterpillar performance. Individual compounds with the strongest associations are largely specialized metabolites, including alkaloids, phenolic glycosides, and saponins. The saponins are represented in our data by more than 25 individual compounds with beneficial and detrimental effects on L. melissa caterpillars, which highlights the value of metabolomic data as opposed to approaches that rely on total concentrations within broad defensive classes

    How do field of view and resolution affect the information content of panoramic scenes for visual navigation? A computational investigation

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    The visual systems of animals have to provide information to guide behaviour and the informational requirements of an animal’s behavioural repertoire are often reflected in its sensory system. For insects, this is often evident in the optical array of the compound eye. One behaviour that insects share with many animals is the use of learnt visual information for navigation. As ants are expert visual navigators it may be that their vision is optimised for navigation. Here we take a computational approach in asking how the details of the optical array influence the informational content of scenes used in simple view matching strategies for orientation. We find that robust orientation is best achieved with low-resolution visual information and a large field of view, similar to the optical properties seen for many ant species. A lower resolution allows for a trade-off between specificity and generalisation for stored views. Additionally, our simulations show that orientation performance increases if different portions of the visual field are considered as discrete visual sensors, each giving an independent directional estimate. This suggests that ants might benefit by processing information from their two eyes independently
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