Recommendations for performing, interpreting and reporting hydrogen deuterium exchange mass spectrometry (HDX-MS) experiments.

Hydrogen deuterium exchange mass spectrometry (HDX-MS) is a powerful biophysical technique being increasingly applied to a wide variety of problems. As the HDX-MS community continues to grow, adoption of best practices in data collection, analysis, presentation and interpretation will greatly enhance the accessibility of this technique to nonspecialists. Here we provide recommendations arising from community discussions emerging out of the first International Conference on Hydrogen-Exchange Mass Spectrometry (IC-HDX; 2017). It is meant to represent both a consensus viewpoint and an opportunity to stimulate further additions and refinements as the field advances

Meaning and Function in the Theory of Consumer Choice: Dual Selves in Evolving Networks

Building on the philosophy of Charles Sanders Peirce, recent advances in biosemiotics have resulted into a concise framework for the analysis of signs in living systems. This paper explores the potential for economics and shows how biosemiotics can integrate two different research agendas, each of which are also connected with biological theories, namely neuroeconomics and the theory of networks. I introduce the triadic conceptual framework established by Peirce which distinguishes between object, sign and interpretant and the corresponding causal forces in evolving hierarchical systems. This framework is used to systematize recent results of neuroeconomics in the form of the dual selves approach, following early contributions of James Coleman, partitioning the individual into the acting self and the object self. This distinction implies that there is a fundamental information asymmetry between the two selves. Against this background, the semeiotic process is an information generating and processing dynamics, which is driven by the internal selection of classificatory schemes of actions chosen and the population level dynamics of sign selection, with mimetic behavior as a driver. This can be further analyzed by means of the theory of signal selection. A central insight is that the internal information gap between acting self and object self implies a systematic role of sign processing in social networks for any kind of consumer choice. I exemplify my approach with empirical references to food consumption as a most universal and simple form of consumer choice

Determining Optimum Hemoglobin Sampling for Anemia Management from Every-Treatment Data

Background and objectives: Anemia Management Protocols in ESRD call for hemoglobin (Hb) monitoring every 2 to 4 weeks. Short-term Hb variability affects the reliability of Hb measurement and may lead to incorrect dosing of erythropoiesis stimulating agents. We prospectively analyzed short-term Hb variability and quantified the relationship between frequency of Hb monitoring and error in Hb estimation

Special Issue

This work presents a pharmacodynamic population analysis in chronic renal failure patients using Artificial Neural Networks (ANNs). In pursuit of an effective and cost-efficient strategy for drug delivery in patients with renal failure, two different types of ANN are applied to perform drug dose-effect modeling and their performance compared. Applied in a clinical environment, such models will allow for prediction of patient response to the drug at the effect site and, subsequently, for adjusting the dosing regimen