Abstract: A real-time survey system can monitor real-time event and interaction data generated as a user interacts with an application. Using the event data in combination with static user attributes, the survey system can identify a subset of microsurveys a user is eligible to receive or participate in. Identifying eligibility can include applying one or more filters based on user attributes as well as detecting a triggering event that signals real-time relevance of the survey to the user's actions. If the user is eligible for multiple surveys, the survey system can select a single survey to send to the user. Surveys can be presented to users directly using the real-time survey system instead of via an alternate delivery method, such as email. After collecting survey data, survey system can automatically analyze survey responses, including by performing machine learning based thematic analysis on freeform text responses.

Abstract: Image recognition and report generation is described. A camera component of a mobile device captures image frames of a physical environment. Each frame is run through an image recognition library to identify object(s) of interest. An object of interest is determined and it is an item associated with periodic maintenance. An identification of the identified object of interest is transmitted to a server. The mobile device receives information about the identified object of interest from the server that is based on a location of the mobile device, the information including a maintenance plan for the identified object of interest.

Abstract: A flexible structure for holding an electronics module is disclosed. The flexible structure may comprise various straps and/or an elastomeric enclosure. The flexible structure may include one or more apertures configured to securely hold one or more raised portions of the electronics module.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: The instant invention is related to a novel solid form of ceftolozane sulfate (the DMAc solvate of ceftolozane sulfate (Form 3)), compositions comprising ceftolozane sulfate DMAc solvate (Form 3), synthesis of Form 3 and an improved crystallization process using Form 3 to prepare ceftolozane sulfate Form 2. Novel compositions also include ceftolozane sulfate solid Form 3 and/or other crystalline and amorphous solid forms of ceftolozane.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: A real-time survey system can monitor real-time event and interaction data generated as a user interacts with an application. Using the event data in combination with static user attributes, the survey system can identify a subset of microsurveys a user is eligible to receive or participate in. Identifying eligibility can include applying one or more filters based on user attributes as well as detecting a triggering event that signals real-time relevance of the survey to the user's actions. If the user is eligible for multiple surveys, the survey system can select a single survey to send to the user. Surveys can be presented to users directly using the real-time survey system instead of via an alternate delivery method, such as email. After collecting survey data, survey system can automatically analyze survey responses, including by performing machine learning based thematic analysis on freeform text responses.

Abstract: Methods and systems are disclosed for coordinating content selection across devices. A user device may transmit a request for webpage content and in response, may receive response communications that include the webpage content, embedded content, and a script. The user device may retrieve a device identifier initially generated by a remote system from a locally stored data object. The user device can detect, using the script, whether at least part of the embedded content is being presented within a portion of the webpage that is displayed on a screen of the user device. The user device may then transmit a report communication to a remote ID-graph system that includes the device identifier and an indication as to whether the at least part of the embedded content was presented within the portion of the webpage that was displayed on the screen of the user device.

Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: Digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. Uncertainty is resolved according to expected characteristics. The label of any image element with an uncertainty above a threshold is replaced with a new label corresponding to a segmentation class based on domain knowledge.

Abstract: In an embodiment, an aircraft includes a pilot input device, a position sensor coupled to the pilot input device, a flight condition sensor and a flight control computer (FCC). The FCC includes a first microprocessor and a second microprocessor. The first microprocessor is configured to receive input data from the position sensor and the condition sensor and determine therefrom a first output. The second microprocessor is configured to receive input data from the position sensor and the condition sensor and determine therefrom a second output. The FCC is configured to compare the first output and the second output to yield resultant data. Responsive to a determination that the first output and the second output do not match, the FCC is configured to execute first remediation logic if the resultant data satisfies first error criteria and to execute second remediation logic if the resultant data satisfies second error criteria.

Abstract: A method for digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. The label of any image element with an uncertainty value above a predefined threshold is replaced with a new label corresponding to the class with the next highest value.

Abstract: Systems and methods for entitlement tracking and control with blockchain technology are provided. A server node may receive usage information indicating usage of a licensed component by a remote device. The server node may generate a datablock that includes the usage information and append the datablock to a blockchain. The server node may acquire, from the blockchain, a license smart contract. The license smart contract may include control logic to control access to the license component. The server node may control access to the license component by the remote device based on the usage information and the control logic.

Abstract: Examples of a optoelectronic transducer module with integrated signal processing for use in thermographic temperature measurement are disclosed. The module includes a light source, an optical element to couple the light to an optical port, a connector configured to connect the optoelectronic transducer module to a fiber optic sensor, a detector to detect an emitted light from the fiber optic sensor and convert the detected emitted light into an electrical signal and a module processing unit coupled to the light source and the detector configured to convert the electrical signal into a set of digital results. The optoelectronic module is in communication with an external processing unit using a high speed circuitry for data aggregation and a low speed circuitry for configuration and firmware upgrade in the module. The opto-electronic module is replaceable during operation to avoid big downtime.

Abstract: A method of determining mass defect plots with user-defined mass scaling, filtering, and labeling in a mass spectrometer is described. An implementation of the method comprises, (i) generating a mass defect plot from the data, (ii) filtering all ions in the mass defect plot that do not have an associated isotopologue ion, (iii) selecting an unidentified ion, (iv) determining an isotope pattern of the unidentified ion, (v) identifying one or more elements indicated by the isotope pattern for the unidentified ion; (vi) searching formulas containing one or more elements indicated by the isotope pattern for the unidentified ion, (vii) determining a chemical formula of the identified ion, and (viii) displaying the chemical formulas for the unidentified ion on a screen.

Abstract: Examples of a optoelectronic transducer module with integrated signal processing for use in thermographic temperature measurement are disclosed. The module includes a light source to provide an excitation light, an optical element to couple the light to an optical port, a connector configured to connect the optoelectronic transducer module to a fiber optic sensor, a detector coupled to the optical port to detect an emitted light from the fiber optic sensor and convert the detected emitted light into an electrical signal, a module processing unit coupled to the light source and the detector configured to convert the electrical signal into a set of digital results, a high speed circuitry in communication with an external processing unit for data aggregation and a low speed circuitry in communication with the external processing unit for configuration and firmware upgrade in the module.

Abstract: The instant invention is related to a novel solid form of ceftolozane sulfate (the DMAc solvate of ceftolozane sulfate (Form 3)), compositions comprising ceftolozane sulfate DMAc solvate (Form 3), synthesis of Form 3 and an improved crystallization process using Form 3 to prepare ceftolozane sulfate Form 2. Novel compositions also include ceftolozane sulfate solid Form 3 and/or other crystalline and amorphous solid forms of ceftolozane.

Abstract: A method for digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. The label of any image element with an uncertainty value above a predefined threshold is replaced with a new label corresponding to the class with the next highest value.

Abstract: An oil-water separation system for separating water from the oil of a vacuum pump used in maple sap extraction and returning filtered oil to the vacuum pump, includes a vacuum pump having an oil inlet port and an oil outlet port, an oil-water separator for separating water from oil having an inlet for receiving a waste water-oil mixture from the vacuum pump oil outlet port, a first outlet for returning filtered oil to the oil inlet port of the vacuum pump and a second outlet for removing water from the system.