Regular Functions and Cost Register Automata

We propose a deterministic model for associating costs with strings that is parameterized by operations of interest (such as addition, scaling, and minimum), a notion of regularity that provides a yardstick to measure expressiveness, and study decision problems and theoretical properties of resulting classes of cost functions. Our definition of regularity relies on the theory of string-to-tree transducers, and allows associating costs with events that are conditioned on regular properties of future events. Our model of cost register automata allows computation of regular functions using multiple “write-only ” registers whose values can be combined using the allowed set of operations. We show that the classical shortest-path algorithms as well as the algorithms designed for computing discounted costs can be adapted for solving the min-cost problems for the more general classes of functions specified in our model. Cost register automata with the operations of minimum and increment give a deterministic model that is equivalent to weighted automata, an extensively studied nondeterministic model, and this connection results in new insights and new open problems

DEVELOPMENT OF CELL-PERMEABLE FLUORESCENT PROBES AS PROCESS-ANALYTICAL TOOLS FOR QUALITY CONTROL OF STEM CELL BIOPROCESSES

Mesenchymal stromal cell (MSC) therapy represents a growing therapeutic and commercial value proposition, owing to their paracrine effects, immmunomodulatory properties, and regenerative potential. Developing bioassays of MSC potency that inform biological traits relevant for therapeutic strategy are critical. Further, a shift from planar (culture flasks) to scalar technologies (controlled bioreactors) is increasingly appreciated to ensure functional consistency between product lots, in addition to better process control.11sciescopu

Engineering cell matrix interactions in assembled polyelectrolyte fiber hydrogels for mesenchymal stem cell chondrogenesis

10.1016/j.biomaterials.2013.12.008Biomaterials3592607-2616BIMA