Cold-stored platelets: A product with function optimized for hemorrhage control.

Early administration of blood products following severe trauma is pivotal for establishing hemostasis and achieving successful outcomes. Platelet transfusions, in particular, provide rapid control of hemostasis and help to restore platelet dysfunction induced by trauma. In the U.S. platelets used for therapeutic purposes are stored at room temperature with a limited shelf life of 5-7 days. Issues with room temperature storage of platelets, including an increased risk of bacterial growth and a decline in platelet hemostatic function, have led to a resurgence in interest in cold-stored platelets for therapeutic transfusion. This review presents the current state of cold-stored platelets and cold-stored whole blood as treatment for actively bleeding patients. Usage of cold stored platelets in alternative areas, such as in the field of regenerative medicine, is also discussed.

Optimal filtering and Bayesian detection for friction-based diagnostics in machines.

Non-model-based diagnostic methods typically rely on measured signals that must be empirically related to process behavior or incipient faults. The difficulty in interpreting a signal that is indirectly related to the fundamental process behavior is significant. This paper presents an integrated non-model and model-based approach to detecting when process behavior varies from a proposed model. The method, which is based on nonlinear filtering combined with maximum likelihood hypothesis testing, is applicable to dynamic systems whose constitutive model is well known, and whose process inputs are poorly known. Here, the method is applied to friction estimation and diagnosis during motion control in a rotating machine. A nonlinear observer estimates friction torque in a machine from shaft angular position measurements and the known input voltage to the motor. The resulting friction torque estimate can be analyzed directly for statistical abnormalities, or it can be directly compared to friction torque outputs of an applicable friction process model in order to diagnose faults or model variations. Nonlinear estimation of friction torque provides a variable on which to apply diagnostic methods that is directly related to model variations or faults. The method is evaluated experimentally by its ability to detect normal load variations in a closed-loop controlled motor driven inertia with bearing friction and an artificially-induced external line contact. Results show an ability to detect statistically significant changes in friction characteristics induced by normal load variations over a wide range of underlying friction behaviors.