Presence of arthralgia exacerbates decreased quality of life in hidradenitis suppurativa patients

Hidradenitis suppurativa is characterized by chronic follicular occlusion that presents with recurrent nodules, inflamed abscesses, and scarring. Research has shown that these patients have a decreased quality of life. In addition to its psychosocial effects, hidradenitis suppurativa has recently been associated with joint pathology. In this study, we distributed a survey consisting of the Short Form 12 Health Survey, used for assessing health outcomes, along with additional questions about joint pain to an online hidradenitis suppurativa support group in order to understand the effect of comorbid arthralgia on quality of life in this disease. The respondents in this study had significantly reduced physical health composite scores-12 (PCS-12), (35.8 versus 50, P<0.001) and mental health composite scores-12 (MCS-12), (33.7 versus 50, P<0.001) scores compared to the general population. Additionally, patients reporting severe arthralgia had significantly lower PCS-12 (32.3 versus 36.5; P<0.05) and MCS-12 (33.3 versus 40.5; P<0.001) scores compared to those with mild arthralgia. Despite the effect of comorbid arthralgia on quality of life, only 11% reported having been asked about joint pain by their dermatologist. Routine screening questions concerning associated arthralgia and diminished quality of life may be helpful during clinician assessment and treatment of hidradenitis suppurativa patients

The Revolving Door: A Report on U.S. Hospital Readmissions

The U.S. health care system suffers from a chronic malady -- the revolving door syndrome at its hospitals. It is so bad that the federal government says one in five elderly patients is back in the hospital within 30 days of leaving.Some return trips are predictable elements of a treatment plan. Others are unplanned but difficult to prevent: patients go home, new and unexpected problems arise, and they require an immediate trip back to the hospital.But many of these readmissions can and should be prevented. They are the result of a fragmented system of care that too often leaves discharged patients to their own devices, unable to follow instructions they didn't understand, and not taking medications or getting the necessary follow-up care.The federal government has pegged the cost of readmissions for Medicare patients alone at $26 billion annually, and says more than$17 billion of it pays for return trips that need not happen if patients get the right care. This is one reason the Centers for Medicare & Medicaid Services has identified avoidable readmissions as one of the leading problems facing the U.S. health care system and now penalizes hospitals with high rates of readmissions for their heart failure, heart attack, and pneumonia patients. This report is being released in conjunction with the Robert Wood John Foundation's Care About Your Care initiative, which is devoted to improving care transitions when people leave the hospital. It looks at the issue of readmissions in two ways: by the numbers and through the eyes of the people who live them

Photoluminescence modification by high-order photonic band with abnormal dispersion in ZnO inverse opal

We measured the angle- and polarization-resolved reflection and photoluminescence spectra of ZnO inverse opals. Significant enhancement of spontaneous emission is observed. The enhanced emission not only has good directionality but also can be linearly polarized. A detailed theoretical analysis and numerical simulation reveal that such enhancement is caused by the abnormal dispersion of a high-order photonic band. The frozen mode at a stationary inflection point of a dispersion curve can strongly modify the intensity, directionality and polarization of spontaneous emission.Comment: 22 pages, 11 figures, figures modified, references added, more explanation adde

Econometric Analysis of Financial Derivatives

__Abstract__ One of the fastest growing areas in empirical finance, and also one of the least rigorously analyzed, especially from a financial econometrics perspective, is the econometric analysis of financial derivatives, which are typically complicated and difficult to analyze. The purpose of this special issue of the journal on “Econometric Analysis of Financial Derivatives” is to highlight several areas of research by leading academics in which novel econometric, financial econometric, mathematical finance and empirical finance methods have contributed significantly to the econometric analysis of financial derivatives, including market-based estimation of stochastic volatility models, the fine structure of equity-index option dynamics, leverage and feedback effects in multifactor Wishart stochastic volatility for option pricing, option pricing with non-Gaussian scaling and infinite-state switching volatility, stock return and cash flow predictability: the role of volatility risk, the long and the short of the risk-return trade-off, What’s beneath the surface? option pricing with multifrequency latent states, bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets, a stochastic dominance approach to financial risk management strategies, empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction, non-linear dynamic model of the variance risk premium, pricing with finite dimensional dependence, quanto option pricing in the presence of fat tails and asymmetric dependence, smile from the past: a general option pricing framework with multiple volatility and leverage components, COMFORT: A common market factor non-Gaussian returns model, divided governments and futures prices, and model-based pricing for financial derivative

What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance

Experts possess knowledge and information that are not publicly available. The paper is concerned with forecasting academic journal quality and research impact using a survey of international experts from a national project on ranking academic finance journals in Taiwan. A comparison is made with publicly available bibliometric data, namely the Thomson Reuters ISI Web of Science citations database (hereafter ISI) for the Business - Finance (hereafter Finance) category. The paper analyses the leading international journals in Finance using expert scores and quantifiable Research Assessment Measures (RAMs), and highlights the similarities and differences in the expert scores and alternative RAMs, where the RAMs are based on alternative transformations of citations taken from the ISI database. Alternative RAMs may be calculated annually or updated daily to answer the perennial questions as to When, Where and How (frequently) published papers are cited (see Chang et al. (2011a, b, c)). The RAMs include the most widely used RAM, namely the classic 2-year impact factor including journal self citations (2YIF), 2-year impact factor excluding journal self citations (2YIF*), 5-year impact factor including journal self citations (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, PI-BETA (Papers Ignored - By Even The Authors), 2-year Self-citation Threshold Approval Ratings (2Y-STAR), Historical Self-citation Threshold Approval Ratings (H-STAR), Impact Factor Inflation (IFI), and Cited Article Influence (CAI). As data are not available for 5YIF, Article Influence and CAI for 13 of the leading 34 journals considered, 10 RAMs are analysed for 21 highly-cited journals in Finance. The harmonic mean of the ranks of the 10 RAMs for the 34 highly-cited journals are also presented. It is shown that emphasizing the 2-year impact factor of a journal, which partly answers the question as to When published papers are cited, to the exclusion of other informative RAMs, which answer Where and How (frequently) published papers are cited, can lead to a distorted evaluation of journal impact and influence relative to the Harmonic Mean rankings. A linear regression model is used to forecast expert scores on the basis of RAMs that capture journal impact, journal policy, the number of high quality papers, and quantitative information about a journal. The robustness of the rankings is also analysed

Globalization and Knowledge Spillover: International Direct Investment, Exports and Patents

This paper examines the impact of the three main channels of international trade on domestic innovation, namely outward direct investment, inward direct investment (IDI) and exports. The number of Triadic patents serves as a proxy for innovation. The data set contains 37 countries that are considered to be highly competitive in the world market, covering the period 1994 to 2005. The empirical results show that increased exports and outward direct investment are able to stimulate an increase in patent output. In contrast, IDI exhibits a negative relationship with domestic patents. The paper shows that the impact of IDI on domestic innovation is characterized by two forces, and the positive effect of cross-border mergers and acquisitions by foreigners is less than the negative effect of the remaining IDI