Comment on "Quantum diffusion of 3-He impurities in solid 4- He"

In this comment I show that the experimental data on quantum diffusion of 3-He impurities in solid 4-He can be explained using the adopted quasiparticle theory. The contention by E.G. Kisvarsanyi and N.S. Sullivan (KS) in Phys.Rev.B v. 48, 16557 (1993) as well as in their Reply (ibid. v. 55, 3989 (1997)) to the Grigor'ev's Comment (Phys.Rev. B v. 55, 3987 (1997)) that "Pushkarov's theory of phonon scattering fails to fit the data by very large factors" is groundless and may result from their bad arithmetical error. This means that the phonon-impurity scattering mechanism of diffusion is consistent with experiment and its neglecting by KS makes their results questionable.Comment: RevTex, 5 pages, no figures, to be published in Phys.Rev.

Hadron Spectroscopy with CLAS and CLAS12

The CLAS detector completed a highly successful data-taking lifetime in 2012. The mass range accessible with the CEBAF 6 GeV electron beam and the large solid angle of the detector made it the premier facility for studying baryon resonances. The analysis of a great number of final states with differing polarization states is underway and will lead to a greater understanding of the existing nucleon resonances. In the meantime, preparation for an upgraded detector, CLAS12, is progressing. With commissioning due to start in 2016 with a 11 GeV electron beam CLAS12 will kinematically favour the study of mesons. In particular, it will look to resolve outstanding questions as to the make-up of mesonic states in terms of hybrid states with gluonic constituents; states of pure glue; or tetraquark/molecular configurations

Pascal's Wager, infective endocarditis and the "no-lose" philosophy in medicine

Doctors and dentists have traditionally used antibiotic prophylaxis in certain patient groups in order to prevent infective endocarditis (IE). New guidelines, however, suggest that the risk to patients from using antibiotics is higher than the risk from IE. This paper analyses the relative risks of prescribing and not prescribing antibiotic prophylaxis against the background of Pascal's Wager, the infamous assertion that it is better to believe in God regardless of evidence, because of the prospective benefits should He exist. Many doctors seem to believe the parallel proposition that it is better to prescribe antibiotics, regardless of evidence, because of the prospective benefit conferred upon the patient. This has been called the "no lose philosophy" in medicine: better safe than sorry, even if the evidence inconveniently suggests that following this mantra is potentially more likely to result in sorry than safe. It transpires that, just as Pascal's Wager fails to convince because of a lack of evidence to support it and the costs incurred by trying to believe, so the "belts and braces" approach of prescribing antibiotic prophylaxis is unjustifiable given the actual evidence of potential risk and benefit to the patient. Ultimately, there is no no-lose if your clinical decisions, like Pascal's Wager, are based on faith rather than evidence

An antigen-driven B-cell response within the salivary glands of patients with Sjögren’s syndrome

Infection with a bacterium or virus induces the production of antibodies, specialised protein molecules that bind to and eliminate the microorganism. These antibodies are produced by B-cells that are stimulated by antigen (any foreign protein or carbohydrate) in the lymph nodes and spleen. During this process, they diversify their variable region genes (V-genes), encoding the antigen-binding region of the antibody, by switching on machinery that mutates the V-genes at a very high rate (somatic hypermutation). In autoimmune diseases, B-cells produce autoantibodies against self-antigens present on the patient's own tissues. Clusters of B- and T-cells are frequently found in the target organs of autoimmune disease. The aim of the work described here was to determine whether these clusters of cells are responding to stimulation by antigen. For this purpose we investigated the B-cell response in patients with an autoimmune disease affecting the salivary and lachrymal glands. By cloning and sequencing the expressed V-genes from indvidual clusters of cells in the salivary glands, we were able to show that the B-cells in these clusters are undergoing clonal proliferation, somatic hypermutation and antigen selection. The presence of similar structures in the target tissues of other autoimmune diseases suggests that this is a widespread phenomenon

Benthic macroalgae of Shark Bay, Western Australia

One hundred and sixty one taxa of benthic macro-algae are reported from Shark Bay, Western Australia, growing either on subtidal rock platforms, on the extensive sandflats that dominate the bay, or as epiphytes on seagrasses and other algae. In addition many species survive as drift algae amongst the seagrass beds. Tropical taxa predominate. The Rhodophyta are represented by the greatest number of taxa, but these tend to be inconspicuous epiphytes. Members of the Chlorophyta are the most conspicuous in most areas, with Penicillus nodulosus and Polyphysa peniculus the most common species. Polyphysa peniculus dominates the high salinity areas south of the Faure Sill. The brown algae Hormophysa cuneiformis and Dictyota furcellata were also common in high salinity areas. Benthic algal species richness was lower in areas of high salinity

State-dependent importance sampling for a Jackson tandem network

This paper considers importance sampling as a tool for rare-event simulation. The focus is on estimating the probability of overflow in the downstream queue of a Jacksonian two-node tandem queue – it is known that in this setting ‘traditional’ state-independent importance-sampling distributions perform poorly. We therefore concentrate on developing a state-dependent change of measure, that we prove to be asymptotically efficient.\ud More specific contributions are the following. (i) We concentrate on the probability of the second queue exceeding a certain predefined threshold before the system empties. Importantly, we identify an asymptotically efficient importance-sampling distribution for any initial state of the system. (ii) The choice of the importance-sampling distribution is backed up by appealing heuristics that are rooted in large-deviations theory. (iii) Our method for proving asymptotic efficiency is substantially more straightforward than some that have been used earlier. The paper is concluded by simulation experiments that show a considerable speed up

Simple and efficient importance sampling scheme for a tandem queue with server slow-down

This paper considers importance sampling as a tool for rare-event simulation. The system at hand is a so-called tandem queue with slow-down, which essentially means that the server of the first queue (or: upstreanm queue) switches to a lower speed when the second queue (downstream queue) exceeds some threshold. The goal is to assess to what extent such a policy succeeds in protecting the first queue, and therefore we focus on estimating the probability of overflow in the downstream queue.\ud It is known that in this setting importance sampling with traditional state-independent distributions performs poorly. More sophisticated state-dependent schemes can be shown to be asymptotically efficient, but their implementation may be problematic, as for each state the new measure has to be computed. This paper presents an algorithm that is considerably simpler than the fully state-dependent scheme; it requires low computational effort, but still has high efficiency

Backpressure-based control protocols: design and computational aspects

Congestion control in packet-based networks is often realized by feedback protocols. In this paper we assess their performance under a back-pressure mechanism that has been proposed and standardized for Ethernet metropolitan networks. In such a mechanism the service rate of an upstream queue is reduced when the downstream queue is congested, in order to protect the downstream queue. We study a Markovian model that captures the essentials of the protocol, but at the same time allows for numerical analysis. We first derive explicit results for the stability condition of the model (which turns out to be nontrivial). Then we present logarithmic estimates of the probability of buffer overflow in the second queue, which are subsequentially used when devising an efficient simulation procedure based on importance sampling. We conclude the paper by presenting a number of numerical results, and some general design guidelines