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The possible onset of Cytokine Release Syndrome (CRS) is an important consideration in the development of monoclonal antibody (mAb) therapeutics. In this study, several machine learning approaches are used to analyze CRS data. The analyzed data come from a human blood in vitro assay which was used to assess the potential of mAb-based therapeutics to produce cytokine release similar to that induced...
Continuous glucose monitoring systems are an integral component of diabetes management. Efforts to improve the accuracy and robustness of these systems are at the forefront of diabetes research. Towards this goal, a multi-sensor approach was evaluated in hospitalized patients. In this paper, we report on a multi-sensor fusion algorithm to combine glucose sensor measurements in a retrospective fashion...
In this paper, a novel interoperable wireless sensor network (WSN) model using multi-agent-based middleware are proposed. This model provided generalized frameworks to address some critical issues existed in the WSN such as interoperability, time synchronization, power management and distributed computation. To address these issues, we developed a model that was based IEEE 1451 and IEEE 1588 standards...
In this paper, we proposed a novel multi-agent-based interoperable wireless sensor network (WSN) model. It provided generalized frameworks to address some critical issues existed in the WSN such as interoperability, time synchronization, power management and distributed computation. To address these issues, we developed a model that was based IEEE 1451 and IEEE 1588 standards to address sensor interoperability...
In this paper, we use reliability theory to determine the answer of an important question about how often we need to update a piece of secure information. For example, one may need to determine an appropriate time for updating a new password. To generalize, we compute an efficient updating time for a dependable secure computing (DSC) system which stores secret information in a reliable and secure...
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