Interface study report, DRC 3200-1108

Interface requirements for data transmission from CDC 3200 I/O and telemetry computers to Univac 110

Collective modes and sound propagation in a p-wave superconductor: Sr2_2RuO4_4

There are five distinct collective modes in the recently discovered p-wave superconductor Sr$_2$RuO$_4$; phase and amplitude modes of the order parameter, clapping mode (real and imaginary), and spin wave. The first two modes also exist in the ordinary s-wave superconductors, while the clapping mode with the energy $\sqrt{2} \Delta(T)$ is unique to Sr$_2$RuO$_4$ and couples to the sound wave. Here we report a theoretical study of the sound propagation in a two dimensional p-wave superconductor. We identified the clapping mode and study its effects on the longitudinal and transverse sound velocities in the superconducting state. In contrast to the case of $^3$He, there is no resonance absorption associated with the collective mode, since in metals $\omega/(v_F |{\bf q}|) \ll 1$, where $v_F$ is the Fermi velocity, {\bf q} is the wave vector, and $\omega$ is the frequency of the sound wave. However, the velocity change in the collisionless limit gets modified by the contribution from the coupling to the clapping mode. We compute this contribution and comment on the visibility of the effect. In the diffusive limit, the contribution from the collective mode turns out to be negligible. The behaviors of the sound velocity change and the attenuation coefficient near $T_c$ in the diffusive limit are calculated and compared with the existing experimental data wherever it is possible. We also present the results for the attenuation coefficients in both of the collisionless and diffusive limits at finite temperatures.Comment: RevTex, 12 pages, 2 figures, Replaced by the published versio

Social capital, deprivation and self-rated health: Does reporting heterogeneity play a role? Results from the English Longitudinal Study of Ageing

Self-rated health (SRH) is commonly assessed in large surveys, though responses can be influenced by different individuals' perceptions of and beliefs about health. Therefore, instead of providing evidence of ‘true’ health disparities across groups, findings may actually reflect reporting heterogeneity. Using data from participants aged 50 years and older from the English Longitudinal Study of Ageing (ELSA) Wave 3 (2006/07; participation rate = 73%), associations between three dimensions of social capital (local area & trust, social support and social networks), deprivation and SRH were examined using the vignette methodology in 2341 individuals who completed both the self-report and at least one of the 18 vignettes. Analysis employed a hierarchical probit model (HOPIT). Individuals expressing low local area & trust social capital (beta = −0.276, p < 0.001) and those with poor social networks (beta = −0.280, p < 0.001) were more likely to report poor SRH in HOPIT models accounting for reporting heterogeneity, but unadjusted ordered probit analyses still correctly show a negative relationship between low local area & trust social capital (beta = −0.243, p < 0.001) and those with poor social networks (beta = −0.210, p < 0.01), though they somewhat tend to underestimate its strength. Neither social support nor deprivation appeared to have any effect on SRH regardless of reporting heterogeneity. Anchoring vignettes offer a relatively uncomplicated and cost-effective way of identifying and correcting for reporting heterogeneity to improve comparative validity of self-report measures of health. This analysis underlines the need for caution when using unadjusted self-reported measures to study the effects of social capital on health

Bilateral acute angle closure glaucoma precipitated by over the counter oral decongestant

Letter to the edito

Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms?

Understanding how algorithms shape users’ online experiences is a prerequisite to developing an effective algorithm design. Due to the rapid algorithmification of platforms, it is timely to examine users’ awareness of algorithms on online platforms because these algorithms can shape everyday decisions and interactions through mediating, gatekeeping, and structuring user interactions. Focusing on the role of algorithm awareness (AA) in the privacy calculus process, we investigate users’ intention to disclose personal information when using a platform with personalized algorithms. By conceptualizing AA with a range of theoretical and behavioral variables, we examine how users’ self-efficacy affects their privacy concerns when they adopt, consume, and interact with such platforms. The findings show that AA leads users to envisage, understand, and interact with algorithms depending on their understanding of the control of the information flow embedded within them. The awareness that users have regarding algorithms influences the trust of algorithmic processes and the way users evaluate privacy concerns and self-disclosures. The cognitive user processes of AA provide conceptual frameworks for algorithm design and a practical guideline for the design of personalized algorithms

Correlates of sport participation in adults with long-standing illness or disability

Background Little is known about why people with a long-standing illness/disability are less likely to participate in sport than others. This study aimed to identify for the first time sport participation levels and their correlates among Northern Ireland (NI) adults who report a long-standing illness/disability. Method Using data collected in the Continuous Household Survey, an annual survey of a random sample of the NI population, during 2007–2011, we examined responses for the total sample, those with a long-term illness/disability and those with no long-term health issues. We conducted univariate binary regression analysis for the whole sample and for those with a long-standing illness or disability, using sport participation as the dependent variable, and then carried significant variables into a multivariate analysis. Results The sample included 13 683 adults; 3550 (26%) reported a long-term illness or disability. Multivariate analysis showed that, for the total sample and for those with a long-standing illness or disability, sport participation correlated positively with being male, aged <56 years, having a household car/van, health being ‘fairly good’/‘good’ in the previous year, doing work and living in an urban location. Also, for those with a long-standing illness or disability, being single and less socioeconomically deprived correlated positively with sport participation. Conclusions The findings suggest that more focused efforts may promote sport participation for people with a long-standing illness or disability who are female, older, not working, living rurally, married/cohabiting, socioeconomically deprived and report having had poor health in the past year. Our findings should inform public health policy and help in developing initiatives to support sport participation and reduce health inequalities

The Role of Vidura Chatbot in the Diffusion of KnowCOVID-19 Gateway

The COVID-19 pandemic is an unprecedented global emergency. Clinicians and medical researchers are suddenly thrown into a situation where they need to keep up with the latest and best evidence for decision-making at work in order to save lives and develop solutions for COVID-19 treatments and preventions. However, a challenge is the overwhelming numbers of online publications with a wide range of quality. We explain a science gateway platform designed to help users to filter the overwhelming amount of literature efficiently (with speed) and effectively (with quality), to find answers to their scientific questions. It is equipped with a chatbot to assist users to overcome infodemic, low usability, and high learning curve. We argue that human-machine communication via a chatbot play a critical role in enabling the diffusion of innovations