75 research outputs found

    Katz and Covid-19 How a Pandemic Changed the Reasonable Expectation of Privacy

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    COVID-19 spread to 189 countries and infected tens of millions of people in the matter of months. Organizations, including governments and employers, turned to health surveillance technologies to slow the spread and combat the disease. Protected health information and personal information are required for the proper and effective functioning of the health surveillance technologies. The collection, use, and dissemination of protected health and personal information raised data privacy and security concerns. But under the current data privacy and security regime—based on the reasonable expectation of privacy standard—protected health and personal information is not protected to the extent that it needs to be. Unlike other scholarly work, this article presents deeper analysis into the technologies, the data that powers them, and the applicable legal standards. The objective is to provide a better understanding of (i) the data privacy and security risks, and (ii) whether the current data privacy and security regime in the United States provides sufficient protections for individuals. This article explores two health surveillance technologies (contact tracing applications and health monitoring platforms), presents three categories of data (user-inputted, queried, and autogenerated data), and describes the data supply chains that power technology and organizations. I discuss the benefits and risks of collecting the protected health and personal information in response to the pandemic. I explore the current legal standards and jurisprudence, and I propose the Privacy Continuum to explain how the pandemic shifted the reasonable expectation of privacy. I present a case study to synthesize the foregoing, and I conclude by proposing a new legal standard—the right to control—and other reforms to effectuate true data privacy and security protections. Only then can we reclaim our right to privacy

    RXTE Discovery of Multiple Cyclotron Lines during the 2004 December Outburst of V0332+53

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    We present an analysis of the 2-150 keV spectrum of the transient X-ray pulsar V0332+53 taken with the Rossi X-Ray Timing Explorer (RXTE) in 2004 December. We report on the detection of three cyclotron resonance features at 27, 51, and 74 keV in the phase-averaged data, corresponding to a polar magnetic field of 2.7 x 10^12 G. After 4U0115+63, this makes V0332+53 the second accreting neutron star in which more than two cyclotron lines have been detected; this has now also been confirmed by INTEGRAL. Pulse-phase spectroscopy reveals remarkably little variability of the cyclotron line through the 4.4 s X-ray pulse.Comment: 4 pages, 3 figures, accepted for publication in ApJ Letter

    Angiotensin receptors in GtoPdb v.2023.1

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    The actions of angiotensin II (Ang II) are mediated by AT1 and AT2 receptors (nomenclature as agreed by the NC-IUPHAR Subcommittee on Angiotensin receptors [63, 155]), which have around 30% sequence similarity. The decapeptide angiotensin I, the octapeptide angiotensin II and the heptapeptide angiotensin III are endogenous ligands. losartan, candesartan, olmesartan, telmisartan, etc. are clinically used AT1 receptor blockers

    Angiotensin receptors (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database

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    The actions of angiotensin II (Ang II) are mediated by AT1 and AT2 receptors (nomenclature as agreed by the NC-IUPHAR Subcommittee on Angiotensin receptors [61, 152]), which have around 30% sequence similarity. The decapeptide angiotensin I, the octapeptide angiotensin II and the heptapeptide angiotensin III are endogenous ligands. losartan, candesartan, telmisartan, etc. are clinically used AT1 receptor blockers

    Expertise in medicine: using the expert performance approach to improve simulation training

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    Context We critically review how medical education can benefit from systematic use of the expert performance approach as a framework for measuring and enhancing clinical practice. We discuss how the expert performance approach can be used to better understand the mechanisms underpinning superior performance among health care providers and how the framework can be applied to create simulated learning environments that present increased opportunities to engage in deliberate practice. Expert Performance Approach The expert performance approach is a systematic, evidence-based framework for measuring and analysing superior performance. It has been applied in a variety of domains, but has so far been relatively neglected in medicine and health care. Here we outline the framework and demonstrate how it can be effectively applied to medical education. Deliberate Practice Deliberate practice is defined as a structured and reflective activity, which is designed to develop a critical aspect of performance. Deliberate practice provides an opportunity for error detection and correction, repetition, access to feedback and requires maximal effort, complete concentration and full attention. We provide guidance on how to structure simulated learning environments to encourage the accumulation of deliberate practice. Conclusions We highlight the role of simulation-based training in conjunction with deliberate practice activities such as reflection, rehearsal, trial-and-error learning and feedback in improving the quality of patient care. We argue that the development of expertise in health care is directly related to the systematic identification and improvement of quantifiable performance metrics. In order to optimise the training of expert health care providers, advances in simulation technology need to be coupled with effective instructional systems design, with the latter being strongly guided by empirical research from the learning and cognitive sciences

    Robust Metabolic Responses to Varied Carbon Sources in Natural and Laboratory Strains of Saccharomyces cerevisiae

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    Understanding factors that regulate the metabolism and growth of an organism is of fundamental biologic interest. This study compared the influence of two different carbon substrates, dextrose and galactose, on the metabolic and growth rates of the yeast Saccharomyces cerevisiae. Yeast metabolic and growth rates varied widely depending on the metabolic substrate supplied. The metabolic and growth rates of a yeast strain maintained under long-term laboratory conditions was compared to strain isolated from natural condition when grown on different substrates. Previous studies had determined that there are numerous genetic differences between these two strains. However, the overall metabolic and growth rates of a wild isolate of yeast was very similar to that of a strain that had been maintained under laboratory conditions for many decades. This indicates that, at in least this case, metabolism and growth appear to be well buffered against genetic differences. Metabolic rate and cell number did not co-vary in a simple linear manner. When grown in either dextrose or galactose, both strains showed a growth pattern in which the number of cells continued to increase well after the metabolic rate began a sharp decline. Previous studied have reported that O2 consumption in S. cerevisiae grown in reduced dextrose levels were elevated compared to higher levels. Low dextrose levels have been proposed to induce caloric restriction and increase life span in yeast. However, there was no evidence that reduced levels of dextrose increased metabolic rates, measured by either O2 consumption or CO2 production, in the strains used in this study

    THE CONCISE GUIDE TO PHARMACOLOGY 2019/20 : G protein- coupled receptors

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    The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website. It provides a permanent, citable, point-in-time record that will survive database updates. The full contents of this section can be found at http://onlinelibrary.wiley.com/doi/10.1111/bph.14748. G protein-coupled receptors are one of the six major pharmacological targets into which the Guide is divided, with the others being: ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. The landscape format of the Concise Guide is designed to facilitate comparison of related targets from material contemporary to mid-2019, and supersedes data presented in the 2017/18, 2015/16 and 2013/14 Concise Guides and previous Guides to Receptors and Channels. It is produced in close conjunction with the International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification (NC-IUPHAR), therefore, providing official IUPHAR classification and nomenclature for human drug targets, where appropriate.Peer reviewe
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