Carlo Albert

TL;DR: A general unified threshold model for survival (GUTS) is developed, from which a large range of existing models can be derived as special cases and facilitates further improvement in the modeling of survival under chemical stress.

TL;DR: In this paper, an alternative and stringent test of the CRC-hypothesis by searching for a possible influence of sudden GCR decreases (so-called Forbush decreases) on clouds was presented.

TL;DR: A structured approach to select, among five variants, the optimal bias de- scription for a given urban or natural case study and results clearly show that flow simulations are much more reliable when bias is accounted for than when it is neglected.

TL;DR: It is discussed how the distinction between quantal and graded endpoints and the type of linkage between endpoints can guide model design and selection and Strengths and limitations of two main approaches and possible ways forward are outlined.

TL;DR: The General Unified Threshold model for Survival (GUTS) integrates previously published toxicokinetic-toxicodynamic models and estimates survival with explicitly defined assumptions and is found to adequately predicts survival across exposure patterns that vary over time.