Infections from Streptococcus dysgalactiae ssp. equisimilis (SDSE) can cause a wide variety of infections, ranging from mild cellulitis to invasive disease, such as endocarditis and streptococcal toxic shock-like syndrome (TSLS). Despite prompt and appropriate antibiotics, mortality rates associated with shock have remained exceedingly high, prompting the need for adjunctive therapy. IVIG has b...

A 45-year-old woman was transferred from a local hospital to our hospital because of shock-like manifestations in addition to septic polyarthritis and necrotizing cellulitis of the left leg. Since Streptococcus pyogenes was isolated from the blood culture examined one day before admission, the diagnosis of streptococcal toxic shock-like syndrome (TSLS) was made. Antibiotic treatment together wi...

BACKGROUND Open source drug discovery offers potential for developing new and inexpensive drugs to combat diseases that disproportionally affect the poor. The concept borrows two principle aspects from open source computing (i.e., collaboration and open access) and applies them to pharmaceutical innovation. By opening a project to external contributors, its research capacity may increase signif...

In some nonlinear regression problems with parameterized variance both the design and the method of estimation have to be chosen. We compare asymptotically two methods of estimation: the penalized weighted LS (PWLS) estimator, which corresponds to maximum likelihood estimation (MLE) under the assumption of normal errors, and the two-stage LS (TSLS) estimator. We show that when the kurtosis κ of...

This paper presents a uniied architecture for knowledge representation and reasoning based on terminological (description) logics. The novelty of our approach consists in trying to use description logics not only for representing domain knowledge, but also for describing beliefs, epistemic operators and actions of intelligent agents in an unitary framework. For this purpose , we have chosen a d...

Localization of sensor nodes in wireless sensor networks (WSNs) is very important since it associates spatial context with the data collected by sensor nodes and used in applications. Rapid development of wireless sensor technologies and wide applications of wireless sensor networks have also made security in sensor localization a primary concern as well as a great challenge. Without adequate s...

Despite the many successes of cancer research, we lack the framework necessary to predict the ratio of familial (inherited) to sporadic (non-inherited) cancers. An evolutionary model of multistage carcinogenesis provides this framework by demonstrating that the number of tumour suppressor loci (TSLs) preventing cancer in a given tissue is expected to depend upon the tissue's vulnerability to pr...

Adaptive lasso is a weighted `1 penalization method for simultaneous estimation and model selection. It has oracle properties of asymptotic normality with optimal convergence rate and model selection consistency. Instrumental variable selection has become the focus of much research in areas of application for which datasets with both strong and weak instruments are available. This paper develop...

Professional forecasters can rely on econometric models, their personal expertise or both. To accommodate for adjustments to model forecasts, this paper proposes use two stage least squares (TSLS) (and not ordinary [OLS]) the familiar Mincer–Zarnowitz regression when examining bias in professional where instrumental variable is consensus forecast. An illustration 15 with quotes real gross domes...