The social cognition of medical knowledge, with special reference to childhood epilepsy

This paper arose out of an engagement in medical communication courses at a Gulf university. It deploys a theoretical framework derived from a (critical) sociocognitive approach to discourse analysis in order to investigate three aspects of medical discourse relating to childhood epilepsy: the cognitive processes that are entailed in relating different types of medical knowledge to their communicative context; the types of medical knowledge that are constituted in the three different text types analysed; and the relationship between these different types of medical knowledge and the discursive features of each text type. The paper argues that there is a cognitive dimension to the human experience of understanding and talking about one specialized from of medical knowledge. It recommends that texts be studied in medical communication courses not just in terms of their discrete formal features but also critically, in terms of the knowledge which they produce, transmit and reproduce

Profiling intermittent tinnitus:a retrospective review

OBJECTIVE: We conducted a retrospective review of medical records of tinnitus patients at a tertiary ENT clinic in Groningen, Netherlands. Our goal was to identify factors that differentiated the intermittent subgroup from the larger continuous group with chronic tinnitus. DESIGN: Tinnitus-related factors such as hearing loss, emotional aspects, and demographics were used to advance our understanding of the subgroups. We analysed the data using descriptive statistics and binomial logistic regression, supplemented by random forests classification. STUDY SAMPLE: Patients presenting with tinnitus visiting the tinnitus clinic. We examined 1575 medical intake records obtained at a tertiary ENT hospital. RESULTS: Duration, total Tinnitus Handicap Inventory (THI), and THI Functional subscale scores differed significantly between the two groups. Increasing age and higher THI Emotional subscale scores were associated with an increased likelihood of intermittent tinnitus. Increases in duration, depressive scores and THI Functional and Catastrophic subscale scores, decreased the likelihood of intermittent tinnitus. CONCLUSIONS: Results from this study dissociate the factors affecting those with intermittent and those with continuous tinnitus and point to potentially different mechanisms underlying the two conditions

Stock Selection, Style Rotation, and Risk

Using US data from June 1984 to July 1999, we show that the impact of firm-specific characteristics like size and book-to-price on future excess stock returns varies considerably over time. The impact can be either positive or negative at different times. This time variation is partially predictable. We investigate whether the partial predictability signals security mispricing or risk compensation by formulating alternative modeling strategies. The strategies are compared empirically, In particular, we allow for a state-dependent choice of investment styles rather than a once-and-for-all choice for a particular style, for example based on high book-to-price ratios or small market cap values. Using alternative ways to correct for risk, we find significant and robust excess returns to style rotating investment strategies. Business cycle oriented approaches exhibit the best overall performance. Purely statistical models for style rotation or fixed investment styles reveal less robust behavior

Fluid modeling of the conversion of CH4 in presence of O2 of CO2 into methanol and syngas in an atmospheric pressure dielectric barrier discharge

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Dielectric barrier discharges used for the conversion of greenhouse gases : modeling the plasma chemistry by fluid simulations

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Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo

A Direct Monte Carlo (DMC) approach is introduced for posterior simulation in the Instrumental Variables (IV) model with one possibly endogenous regressor, multiple instruments and Gaussian errors under a flat prior. This DMC method can also be applied in an IV model (with one or multiple instruments) under an informative prior for the endogenous regressor's effect. This DMC approach can not be applied to more complex IV models or Simultaneous Equations Models with multiple endogenous regressors. An Approximate DMC (ADMC) approach is introduced that makes use of the proposed Hybrid Mixture Sampling (HMS) method, which facilitates Metropolis-Hastings (MH) or Importance Sampling from a proper marginal posterior density with highly non-elliptical shapes that tend to infinity for a point of singularity. After one has simulated from the irregularly shaped marginal distri- bution using the HMS method, one easily samples the other parameters from their conditional Student-t and Inverse-Wishart posteriors. An example illustrates the close approximation and high MH acceptance rate. While using a simple candidate distribution such as the Student-t may lead to an infinite variance of Importance Sampling weights. The choice between the IV model and a simple linear model un- der the restriction of exogeneity may be based on predictive likelihoods, for which the efficient simulation of all model parameters may be quite useful. In future work the ADMC approach may be extended to more extensive IV models such as IV with non-Gaussian errors, panel IV, or probit/logit IV