Abstract: A pump panel training device is provided and includes a plurality of simulated gages operable to imitate gages upon a fire truck pump panel, a plurality of simulated controls operable to imitate controls upon the fire truck pump panel, and a simulated water hose operable to imitate one of water temperature changes, water temperature pressure, and water hose vibration for the fire truck pump panel.

Abstract: A card reader includes a digital connector such as a Universal Serial Bus (USB) plug or an Apple® Lightning® plug. The digital connector includes a corresponding connector interface, which provides voltage to at least a card reader interface and an integrated circuit (IC) of the card reader. The card reader interface outputs an analog transaction information signal upon reading the card. The IC generates a digital version of the analog transaction information signal, encrypts the digital version, converts that into an analog audio signal. The audio signal can then be sent to the connector interface, which converts it into a digital signal such as a USB or Apple® Lightning® signal that is sent by the digital connector to a mobile device. Alternately, the audio signal can be sent to a microcontroller that converts the audio signal to a digital format such as USB, and then to the digital connector.

Abstract: A control system for controlling extraction of landfill gas, comprising: at least one sensor configured to measure one or more characteristics of landfill gas; at least one flow control mechanism disposed in well piping and configured to control flow of the landfill gas through the well piping; and at least one processor configured to: obtain a measured concentration of a first gas in landfill gas; determine whether the measured concentration of the first gas is either less than a first threshold concentration or greater than a second threshold concentration; when it is determined that the measured concentration is less than the first threshold concentration, control the at least one flow control mechanism to reduce flow rate of landfill gas; and when it is determined that the concentration is greater than the second threshold concentration, control the at least one flow control mechanism to increase the flow rate of landfill gas.

Abstract: A control system for controlling extraction of landfill gas, comprising: at least one sensor configured to measure one or more characteristics of landfill gas; at least one flow control mechanism disposed in well piping and configured to control flow of the landfill gas through the well piping; and at least one processor configured to: obtain a measured concentration of a first gas in landfill gas; determine whether the measured concentration of the first gas is either less than a first threshold concentration or greater than a second threshold concentration; when it is determined that the measured concentration is less than the first threshold concentration, control the at least one flow control mechanism to reduce flow rate of landfill gas; and when it is determined that the concentration is greater than the second threshold concentration, control the at least one flow control mechanism to increase the flow rate of landfill gas.

Abstract: A fining package for a glass composition may include a sulfate or a sulfide in an amount from about 0.001 to about 1 mol % of the glass composition. The fining package may include a multivalent compound, such as CeO2, SnO2, or Fe2O3, in an amount from about 0.001 to about 1 mol % of the glass composition. The fining package may be sulfide-free. The fining package may be free from a reducing agent for reducing sulfate to sulfide. The fining package may be free of at least one of Cl, F, Sn, Ce, and As. The glass composition may be used to form glass tubing. The glass tubing may be used to form a pharmaceutical packaging.

Abstract: A treadmill is provided. The treadmill includes a frame; a first side support coupled to and extending substantially vertically upwards relative to the frame; a second side support coupled to and extending substantially vertically upwards relative to the frame; and a handrail assembly having a first side coupled to the first side support and a second side coupled to the second side support, each of the first and second sides of the handrail assembly comprising upper and lower members vertically spaced from one another and front and rear push members spaced apart from one another along a longitudinal length of the treadmill, the front and rear push members coupling the upper and lower members, and collectively providing a plurality of hand placement positions including at least two substantially horizontally aligned hand placement positions and at least one primarily vertically aligned hand placement position.

Abstract: A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

Abstract: A computing device and method of controlling access to a computing device. An application to be used when the computing device is in a locked state is selected, wherein in the locked state, only use of the selected application is permitted. The computing device enters the locked state. Use of the selected application without unlocking the computing device is allowed.

Abstract: In some examples, a rib cover is provided for a multi-station processing module having a rib disposed between adjacent processing chambers. An example rib cover comprises a first portion for supporting the rib cover on the rib, a first side shield to cover a first wall of the rib when the rib cover is fitted thereto, and at least one spacer to hold an inner surface of the rib cover away from the covered rib.

Abstract: A treadmill is provided. The treadmill includes a frame; a first side support coupled to and extending substantially vertically upwards relative to the frame; a second side support coupled to and extending substantially vertically upwards relative to the frame; and a handrail assembly having a first side coupled to the first side support and a second side coupled to the second side support, each of the first and second sides of the handrail assembly comprising upper and lower members vertically spaced from one another and collectively providing a plurality of hand placement positions including at least two substantially horizontally aligned hand placement positions and at least one primarily vertically aligned hand placement position thereby allowing a plurality of exercises/uses of the treadmill.

Abstract: Embodiments herein describe a patient evaluation system that predicts a revenue stream corresponding to a patient if admitted into a healthcare facility. In one embodiment, the patient evaluation system parses medical records corresponding to a patient to automatically identify inputs into a daily rate calculator for determining a reimbursement or cost rate (e.g., a daily rate) corresponding to the patient. In addition to determining this rate, the patient evaluation system can use a ML model to estimate or predict the length of stay of the patient. Using the reimbursement or cost rate and the predicted length of stay, the patient evaluation system can estimate or predict the revenue stream corresponding to patient's stay at the healthcare facility. This information can be output in a graphical user interface which can be used to decide whether or not to recommend the patient be admitted to the healthcare facility.

Abstract: In some examples, techniques for enhancing a corrosion resistance of a component are provided. In some examples, the component includes a granular metallic material. A friction stir processing operation is performed on the material. The friction stir processing operation comprises passing a rotating head of a friction stir welding tool through a surface thickness of the granular metallic material in a treatment path.

Abstract: A device for percutaneous venous valve repair generally including a catheter and a retractable and extendable member for deploying an object that affixes a portion of a venous valve leaflet to an adjacent vein wall. A related method for percutaneous venous valve repair is revealed to include percutaneously inserting a device as described herein into a peripheral vasculature of a living subject so as to affix at least a portion of a leaflet of a venous valve to an adjacent vein wall.

Abstract: A backend data aggregation and customer experience (CX) systems and methods for processing very-large enterprise CX data. A columnar data store has a transform processor coupled thereto via a data communication network. The transform processor is configured to receive customer experience data from a plurality of data sources and to dynamically transform the received data into a columnar data schema format for storage in the columnar data store. A dynamic Object-Relational Mapper (ORM) is configured to dynamically map the transformed data to structured data based on metadata associated therewith and to store the structured data in the columnar data store.

Abstract: A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

Abstract: The specification relates to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) for use in the treatment of cancer, wherein the EGFR TKI is administered in combination with a Smac mimetic.

Abstract: A reactor system comprises a process chamber, a gas inlet, and a dispenser. The dispenser is coupled to the gas inlet. The dispenser controls a gas flow from a vial to the gas inlet. The vial includes a coating material that, when released inside the process chamber under operating conditions of the reaction system, coats an inner wall of the process chamber.

Abstract: Techniques for determining anomalous user behavior in connection with an online application are disclosed. In one embodiment, a method is disclosed comprising obtaining user behavior data in connection with a user of an application, generating feature data using the obtained user behavior data, obtaining one or more user behavior anomaly predictions from one or more anomaly prediction models trained to output a user behavior anomaly prediction in response to the feature data. Each user behavior anomaly prediction indicates a probability that the user behavior is anomalous. A user behavior anomaly determination is made using the user behavior anomaly prediction(s).

Abstract: Example embodiments provide systems and methods for simulating a disease outbreak based on a limited number of input parameters. In one embodiment, a disease severity level is computed based on a relationship between leaf wetness duration and average temperature during a wetness period. The resulting model can be a physical, deterministic model that accepts hourly weather data as input and outputs the most significant severity event of disease infection during a specified period.

Abstract: Example embodiments provide systems and methods for simulating a disease outbreak using a relatively simple formula based on a limited number of input parameters. In particular, disease severity is computed based on a relationship between leaf wetness duration and average temperature during a wetness period. The resulting model is a physical, deterministic model that accepts hourly weather data as input and outputs the most significant severity event of disease infection during a specified (e.g., one-day) period. This information can then be used to guide the application of various treatments when they can be most effective (e.g., when predicted disease severity is at its worst).