Abstract: A patient monitor can noninvasively measure a physiological parameter using sensor data from a nose sensor configured to be secured to a nose of the patient. The nose sensor can include an emitter and a detector. The detector is configured to generate a signal when detecting light attenuated by the nose tissue of the patient. An output measurement of the physiological parameter can be determined based on the signals generated by the detector. The nose sensor can include an inner prong and an outer prong to assist the nose sensor in securing to a patient's nose. The detector can be coupled to an inner post of the inner prong and can be configured to secure to an interior or exterior portion of the patient's nose.

Abstract: This disclosure describes techniques for enabling interoperability between asymmetric and symmetric Integrated Routing and Bridging (IRB) modes. An interfacing component may be configured to receive a first route advertisement from a first edge node in a Layer-2 (L2) fabric. The first route advertisement may correspond to an asymmetric format route, for instance. The interfacing component may be further configured to receive a second route advertisement from a second edge node in a L2/Layer-3 (L3) fabric. The second edge node may be configured for symmetric integrated routing and bridging (IRB). The interfacing component may be configured to re-originate the first route and the second route such that the interfacing component is included as a hop in the resultant routes between the L2 fabric and the L2/L3 fabric.

Abstract: A robotic singulation system is disclosed. In various embodiments, sensor data including image data associated with a workspace is received. The sensor data is used to generate a three dimensional view of at least a portion of the workspace, the three dimensional view including boundaries of a plurality of items present in the workspace. A grasp strategy is determined for each of at least a subset of items, and for each grasp strategy a corresponding probability of grasp success is computed. The grasp strategies and corresponding probabilities of grasp success are used to determine and implement a plan to autonomously operate a robotic structure to pick one or more items from the workplace and place each item singly in a corresponding location in a singulation conveyance structure.

Abstract: A patient monitor can noninvasively measure a physiological parameter using sensor data from a nose sensor configured to be secured to a nose of the patient. The nose sensor can include an emitter and a detector. The detector is configured to generate a signal when detecting light attenuated by the nose tissue of the patient. An output measurement of the physiological parameter can be determined based on the signals generated by the detector. The nose sensor can include a diffuser configured to disseminate light exiting from the emitter into or around a portion of the patient's body. The nose sensor can also include a lens configured to focus light into the detector.

Abstract: This disclosure describes techniques for enabling interoperability between asymmetric and symmetric Integrated Routing and Bridging (IRB) modes. An interfacing component may be configured to receive a first route advertisement from a first edge node in a Layer-2 (L2) fabric. The first route advertisement may correspond to an asymmetric format route, for instance. The interfacing component may be further configured to receive a second route advertisement from a second edge node in a L2/Layer-3 (L3) fabric. The second edge node may be configured for symmetric integrated routing and bridging (IRB). The interfacing component may be configured to re-originate the first route and the second route such that the interfacing component is included as a hop in the resultant routes between the L2 fabric and the L2/L3 fabric.

Abstract: Phantoms for use in magnetic resonance imaging (“MRI”) and, in particular, for use in quantifying fat concentration, iron concentration, or both, are provided. The phantoms are constructed to accurately reflect in vivo magnetic resonance signal behavior in the presence of both fat and iron. The phantoms described here can thus be used for phantom-based validation of MRI techniques for the joint quantification of fat and iron concentration, for phantom-based validation of MRI techniques for quantifying fat concentration in the presence of iron overload, and for phantom-based validation of MRI techniques for quantifying iron concentration given the confounding presence of fat.

Abstract: Phantoms for use in magnetic resonance imaging (“MRI”) and, in particular, for use in quantifying fat concentration, iron concentration, or both, are provided. The phantoms are constructed to accurately reflect in vivo magnetic resonance signal behavior in the presence of both fat and iron. The phantoms described here can thus be used for phantom-based validation of MRI techniques for the joint quantification of fat and iron concentration, for phantom-based validation of MRI techniques for quantifying fat concentration in the presence of iron overload, and for phantom-based validation of MRI techniques for quantifying iron concentration given the confounding presence of fat.

Abstract: Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

Abstract: A stochastic integer programming based constrained optimization technique enables optimal allocation of classrooms and instructors to requested classes associated with cancellation probabilities. An analytical tool allows optimization of overall operational revenue/profit under different planning scenarios involving chaining of various classes, prerequisite relationships, and inter-class spacing requirements. This system allows the description and input of a list of classes, their cancellation probabilities and the input of available classrooms and instructors for determining the most revenue-generating/profitable class schedule. The revenue/profit optimization model corresponds to a two-stage mixed integer program.

Abstract: Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

Abstract: Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

Abstract: A stochastic integer programming based constrained optimization technique enables optimal allocation of classrooms and instructors to requested classes associated with cancellation probabilities. An analytical tool allows optimization of overall operational revenue/profit under different planning scenarios involving chaining of various classes, prerequisite relationships, and inter-class spacing requirements. This system allows the description and input of a list of classes, their cancellation probabilities and the input of available classrooms and instructors for determining the most revenue-generating/profitable class schedule. The revenue/profit optimization model corresponds to a two-stage mixed integer program.

Abstract: Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.