Abstract: Systems and techniques for monitoring, predicting and/or alerting for census periods in medical inpatient units are presented. A system can perform a first machine learning process to learn patterns in patient flow data related to a set of patient identities and a set of operations associated with a set of medical inpatient units. The system can also perform a second machine learning process to detect abnormalities associated with the patterns in the patient flow data. Furthermore, the system can determine patient census data associated with a prediction for a total number of patient identities in the set of medical inpatient units during a period of time based on the patterns and the abnormalities. The system can also generate an alert for a user interface in response to a determination that the patient census data satisfies a defined criterion.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage care pathways and associated resources. An example apparatus includes a system monitor to coordinate a patient data analyzer and a care pathway processor to at least: identify a first patient record associated with a first care pathway; and identify a second patient record that is not on the first care pathway but should be on the first care pathway. The example apparatus includes a graphical user interface including information regarding, in a first area, the first patient record associated with the first care pathway and, in a second area, the second patient record that should be associated with the first care pathway.

Abstract: A turbocharger includes a turbine wheel, a compressor wheel, a shaft coupled to the turbine wheel and the compressor wheel, and a thrust bearing. The thrust bearing includes a loaded side and an unloaded side. The loaded side bears a majority of axial loading caused by force imbalances between the turbine wheel and the compressor wheel during engine startup. The thrust bearing restricts oil flow to the unloaded side as compared to the loaded side during engine startup.

Abstract: Techniques are described that employ a multifactorial, machine-learning based system and prioritization framework for optimizing patient placement to beds at a medical facility. In one embodiment, a computer-implemented is provided that comprises receiving, by a system operatively coupled to a processor, a patient placement request requesting placement of a patient to a hospital bed of the healthcare facility, wherein the request is associated with information identifying a medical service for the patient and a bed type. The method further comprises, selecting, by the system, a placement prioritization model from a set of placement prioritization models based on the medical service and the bed type, and employing, by the system, the prioritization model and state information regarding a current state of the healthcare facility to determine a prioritization score reflective of a priority level of the patient placement request.

Abstract: An exhaust gas turbocharger (1) including a compressor housing (2), a bearing housing (3), a turbine housing (4) in which a turbine wheel (5) is arranged, which has a housing inlet (6), which has a turbine spiral (7) connecting to the housing inlet (6), which has a housing outlet (8), and which has a wastegate arrangement (9), which in the open state brings the housing inlet (6) into flow connection with the housing outlet (8) for guiding a wastegate mass flow. The wastegate insert part (10) is arranged in the turbine housing (4) between the turbine wheel (5) and the housing outlet (8) and the open wastegate arrangement (9) introduces the wastegate mass flow into the wastegate insert arrangement (9).

Abstract: Systems, methods, and computer program products that enable system-wide probabilistic forecasting, alerting, optimizing and activating resources in the delivery of care to address both immediate (near real-time) conditions as well as probabilistic forecasted operational states of the system over an interval that is selectable from the current time to minutes, hours and coming days or weeks ahead are provided. There are multiple probabilistic future states that are implemented in these different time intervals and these may be implemented concurrently for an instant in time control, near term, and long term. Those forecasts along with their optimized control of hospital capacity may be independently calculated and optimized, such as for a dynamic workflow direction over the next hour and also a patient's stay over a period of days.

Abstract: Systems, methods, and computer program products that enable system-wide probabilistic forecasting, alerting, optimizing and activating resources in the delivery of care to address both immediate (near real-time) conditions as well as probabilistic forecasted operational states of the system over an interval that is selectable from the current time to minutes, hours and coming days or weeks ahead are provided. There are multiple probabilistic future states that are implemented in these different time intervals and these may be implemented concurrently for an instant in time control, near term, and long term. Those forecasts along with their optimized control of hospital capacity may be independently calculated and optimized, such as for a dynamic workflow direction over the next hour and also a patient's stay over a period of days.

Abstract: A pneumatic actuator (1) includes a housing (22) having a first portion (23), a second portion (25), and a fluid inlet (2) formed in the first portion (23). The actuator (1) includes a diaphragm (6) disposed in the housing (22), a piston (7) connected to the diaphragm (6), and a spring (10) that extends between the piston (7) and the housing second portion (25). A pressurized chamber (3) is defined between the diaphragm (6) and the housing first portion (23), and the housing first portion (23) includes a pressure relief device (8).

Abstract: A turbocharger includes a turbine wheel, a compressor wheel, a shaft coupled to the turbine wheel and the compressor wheel, and a thrust bearing. The thrust bearing includes a loaded side and an unloaded side. The loaded side bears a majority of axial loading caused by force imbalances between the turbine wheel and the compressor wheel during engine startup. The thrust bearing restricts oil flow to the unloaded side as compared to the loaded side during engine startup.

Abstract: A sleeping bag has an elongate shell defining a longitudinal centerline and an inner volume sized and shaped to receive a user therein, the shell having a head portion, a foot portion, a middle portion extending longitudinally between the head and foot portions, an overlying portion adapted to overlie the user during use, and an underlying portion adapted to underlie the user during use. A blanket is coupled to the shell and configured to selectively move between a closed position within the inner volume and an open position beyond the shell.

Abstract: A turbocharger includes a turbine wheel, a compressor wheel, and a shaft coupled to the turbine wheel and the compressor wheel. The turbocharger additionally includes a bearing housing containing a thrust bearing through which the shaft extends. The bearing housing receives oil and drains the oil therefrom. The bearing housing includes a reservoir that maintains a retained portion of the oil received in the bearing housing after the oil is drained from the bearing housing. The retained portion of the oil lubricates the thrust bearing.

Abstract: An exhaust gas turbocharger (1) including a compressor housing (2), a bearing housing (3), a turbine housing (4) in which a turbine wheel (5) is arranged, which has a housing inlet (6), which has a turbine spiral (7) connecting to the housing inlet (6), which has a housing outlet (8), and which has a wastegate arrangement (9), which in the open state brings the housing inlet (6) into flow connection with the housing outlet (8) for guiding a wastegate mass flow. The wastegate insert part (10) is arranged in the turbine housing (4) between the turbine wheel (5) and the housing outlet (8) and the open wastegate arrangement (9) introduces the wastegate mass flow into the wastegate insert arrangement (9).

Abstract: A turbomachine with a rotary shaft supporting a turbine wheel is supported for rotation in a housing. The shaft extends through a bore in the housing and a bearing assembly being disposed in the bore. At least one end of the shaft has a primary seal and a secondary seal. The primary seal comprises a non-contact seal defined by an annular clearance between a first non-rotating seal element and a second seal element that rotates with the shaft. The primary seal is arranged to receive lubricating oil from the bearing assembly. An oil slinging feature is provided between the primary and secondary seals.