The Marker State Space (MSS) Method for Classifying Clinical Samples

The development of accurate clinical biomarkers has been challenging in part due to the diversity between patients and diseases. One approach to account for the diversity is to use multiple markers to classify patients, based on the concept that each individual marker contributes information from its respective subclass of patients. Here we present a new strategy for developing biomarker panels that accounts for completely distinct patient subclasses. Marker State Space (MSS) defines "marker states" based on all possible patterns of high and low values among a panel of markers. Each marker state is defined as either a case state or a control state, and a sample is classified as case or control based on the state it occupies. MSS was used to define multi-marker panels that were robust in cross validation and training-set/test-set analyses and that yielded similar classification accuracy to several other classification algorithms. A three-marker panel for discriminating pancreatic cancer patients from control subjects revealed subclasses of patients based on distinct marker states. MSS provides a straightforward approach for modeling highly divergent subclasses of patients, which may be adaptable for diverse applications. © 2013 Fallon et al

Plasma-liquid interactions: a review and roadmap

Plasma-liquid interactions represent a growing interdisciplinary area of research involving plasma science, fluid dynamics, heat and mass transfer, photolysis, multiphase chemistry and aerosol science. This review provides an assessment of the state-of-the-art of this multidisciplinary area and identifies the key research challenges. The developments in diagnostics, modeling and further extensions of cross section and reaction rate databases that are necessary to address these challenges are discussed. The review focusses on non-equilibrium plasmas

Verständige Arbeitsvertragsparteien als Rechtsfigur

Festschrift für Wolfhard Koht

Assessing the effects of calculated inaction on national responses to the COVID-19 crisis

How does calculated inaction affect subsequent responses to the COVID-19 crisis? We argue that when governments employ calculated inaction during crises, they are more likely to manipulate the technical (scientific) aspects of national responses and highlight symbolic politics, each in the name of projecting power and strengthening the regime's governing authority. Using theoretical insight from McConnell and 't Hart's policy inaction typology, we investigate sense-making and crisis response narratives in China and Greece. We conclude with implications for policymaking and the crisis management literature