Deferred decision making (DDM) refers to when an individual collects evidence about two or more risky alternatives and decides when to stop and make a final choice. Real world examples include physicians running tests before diagnosing an illness, or commanders collecting intelligence before taking military action. We conducted a DDM study aimed at investigating how people know when to defer a ...

Picosecond laser induced fluorescence measurements provide for the first time the direct meanrrement of the intramolccular and intermolecular energy decay dynamics of singlet diphenylcarbene (’ DPC) in the presence of reactive molecules. As exemplified by the reaction of ’ DPC with alcohols it is found that reactive molecules provide ’ DPC witi not only a chemical decay channel but also an intr...

The objective of this paper was to describe the process of transferring two methods for sampling most-at-risk populations: respondent-driven sampling (RDS) and time-space sampling (TSS). The article describes steps in the process, the methods used in the 10 pilot studies, and lessons learned. The process was conducted in six steps, from a state-of-the-art seminar to a workshop on writing articl...

We propose Hybrid Transactional Replication (HTR) a novel replication scheme for highly dependable services. It combines two schemes: a transaction is executed either optimistically by only one service replica in the deferred update mode (DU), or deterministically by all replicas in the state machine mode (SM); the choice is made by an oracle. The DU mode allows for parallelism and thus takes a...

nonlinear knapsack problems (nkp) are the alternative formulation for the multiple-choice knapsack problems. a powerful approach for solving nkp is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...

Planning-based methods to guide switched hybrid systems from an initial state into a desired goal region opens an interesting field for control. The idea of the Domain Predictive Control (DPC) approach is to generate input signals affecting both the numerical states and the modes of the system by stringing together atomic actions to a logically consistent plan. However, the existing DPC approac...

This study presents a stratified sampling plan for estimating accuracy of billing performance for the claims submitted to third party payers in healthcare systems. The population consists of hospital claims with amounts ranging from zero, hundreds, thousands, to rare high million dollars. Accuracy of the billing process is estimated by auditing a sample of claims with two measurements: the over...