Abstract: An x-ray tube includes a housing containing cooling oil and a vacuum envelope disposed within the housing and including a solid envelope wall. The oil is disposed between the housing and wall. An anode and cathode are arranged in a vacuum environment and surrounded by the wall. A rotor connected to the anode is arranged on bearings within the vacuum environment. Additionally, a stator assembly positioned within the oil surrounds the rotor to define an oil-filled annular gap. The stator assembly includes a stator core, stator teeth spaced apart by intervening stator slots, and stator windings disposed within the stator slots. Each stator tooth includes a tooth tip positioned adjacent to the boundary wall and set a distance apart from the stator windings to form an intra-slot cooling channel in fluid communication with the oil-filled annular gap such that the stator teeth inclusive of its tooth tips are immersed in oil.

Abstract: Technology is disclosed herein for dispensing stacked spacecraft. A stack of spacecraft may be joined together in an accordion configuration by dis-engageable links. A dis-engageable link may join two adjacent spacecraft at one edge of the spacecraft. Some of the links are on one side of the stack with other links on an opposite side of the stack to provide the accordion configuration. After the tie-down mechanism releases the stack of spacecraft from a launch adaptor the stack unfolds. Initially, the dis-engageable links continue to hold the spacecraft together in the accordion configuration with the angle between each pair of adjacent spacecraft increasing. After a pair of adjacent spacecraft have unfolded a sufficient amount to prevent collision, the dis-engageable links release one of the spacecraft to thereby dispense the spacecraft.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include determining a height value associated with a highest object on a pallet; causing a light detection and ranging (LiDAR) sensor to travel to a height based at least in part on the height value; determining whether a detection signal from the LiDAR sensor indicates a first clear status; in response to determining that the detection signal indicates the first clear status, causing a robotic arm to lift the object until the detection signal indicates a blocked status and then a second clear status.

Abstract: A system for solventless calibration of volatile or semi-volatile compounds and methods thereof. The system includes a fluid path having a first end configured to be operably coupled to a fluid source and a second end configured to be operably coupled to the analytical instrument. A solid sorbent is disposed along the fluid path and is configured to absorb an analyte. The flow of fluid along the fluid path from the first end to the second end causes absorbed analyte to be desorbed from the solid sorbent at a desired concentration to the instrument.

Abstract: Technology is disclosed herein for dispensing stacked spacecraft. A stack of spacecraft may be joined together in an accordion configuration by dis-engageable links. A dis-engageable link may join two adjacent spacecraft at one edge of the spacecraft. Some of the links are on one side of the stack with other links on an opposite side of the stack to provide the accordion configuration. After the tie-down mechanism releases the stack of spacecraft from a launch adaptor the stack unfolds. Initially, the dis-engageable links continue to hold the spacecraft together in the accordion configuration with the angle between each pair of adjacent spacecraft increasing. After a pair of adjacent spacecraft have unfolded a sufficient amount to prevent collision, the dis-engageable links release one of the spacecraft to thereby dispense the spacecraft.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to monitoring virtual desktops accessed by devices at remote locations using machine-learning models to mitigate potential cyber-attacks. In some embodiments, a computing platform may monitor data associated with a series of activities from a virtual desktop accessed by a remote computing device. Subsequently, the computing platform may detect new activity data on the virtual desktop accessed by the remote computing device, and evaluate the new activity data relative to the data associated with the series of activities, wherein evaluating includes applying a machine learning model to the new activity data. Based on evaluating the new activity data, the computing platform may determine if the new activity data is indicative of a potential cyber-attack. In response to determining that the new activity data is indicative of a potential cyber-attack, the computing platform may initiate one or more security response actions.

Abstract: A system for solventless calibration of volatile or semi-volatile compounds and methods thereof. The system includes a fluid path having a first end configured to be operably coupled to a fluid source and a second end configured to be operably coupled to the analytical instrument. A solid sorbent is disposed along the fluid path and is configured to absorb an analyte. The flow of fluid along the fluid path from the first end to the second end causes absorbed analyte to be desorbed from the solid sorbent at a desired concentration to the instrument.

Abstract: A system for solventless calibration of volatile or semi-volatile compounds and methods thereof. The system includes a fluid path having a first end configured to be operably coupled to a fluid source and a second end configured to be operably coupled to the analytical instrument. A solid sorbent is disposed along the fluid path and is configured to absorb an analyte. The flow of fluid along the fluid path from the first end to the second end causes absorbed analyte to be desorbed from the solid sorbent at a desired concentration to the instrument.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to monitoring virtual desktops accessed by devices at remote locations using machine-learning models to mitigate potential cyber-attacks. In some embodiments, a computing platform may monitor data associated with a series of activities from a virtual desktop accessed by a remote computing device. Subsequently, the computing platform may detect new activity data on the virtual desktop accessed by the remote computing device, and evaluate the new activity data relative to the data associated with the series of activities, wherein evaluating includes applying a machine learning model to the new activity data. Based on evaluating the new activity data, the computing platform may determine if the new activity data is indicative of a potential cyber-attack. In response to determining that the new activity data is indicative of a potential cyber-attack, the computing platform may initiate one or more security response actions.

Abstract: Aspects of the disclosure relate to monitoring virtual desktops accessed by devices at remote locations using machine-learning models to mitigate potential cyber-attacks. In some embodiments, a computing platform may monitor data associated with a series of activities from a virtual desktop accessed by a remote computing device. Subsequently, the computing platform may detect new activity data on the virtual desktop accessed by the remote computing device, and evaluate the new activity data relative to the data associated with the series of activities, wherein evaluating includes applying a machine learning model to the new activity data. Based on evaluating the new activity data, the computing platform may determine if the new activity data is indicative of a potential cyber-attack. In response to determining that the new activity data is indicative of a potential cyber-attack, the computing platform may initiate one or more security response actions.

Abstract: A system, apparatus, and method include a pump to deliver vapor including airborne contaminants including organic compounds including a target analyte; a collector to transfer the airborne contaminants by autonomous liquid extraction into a mobile organic liquid phase; a micro-fluidic chamber including immobilized biorecognition elements that bind to analytes delivered from the mobile organic liquid phase; a mechanism to introduce the mobile organic liquid phase to a buffer containing a plurality of substrates causing a series of biochemical reactions that create a change corresponding to a concentration of the target analyte; and a detector to perform real-time analysis that correlates to a concentration of the organic compounds to determine a presence of the target analyte.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include determining a height value associated with a highest object on a pallet; causing a light detection and ranging (LiDAR) sensor to travel to a height based at least in part on the height value; determining whether a detection signal from the LiDAR sensor indicates a first clear status; in response to determining that the detection signal indicates the first clear status, causing a robotic arm to lift the object until the detection signal indicates a blocked status and then a second clear status.

Abstract: A system, apparatus, and method include a pump to deliver vapor including airborne contaminants including organic compounds including a target analyte; a collector to transfer the airborne contaminants by autonomous liquid extraction into a mobile organic liquid phase; a micro-fluidic chamber including immobilized biorecognition elements that bind to analytes delivered from the mobile organic liquid phase; a mechanism to introduce the mobile organic liquid phase to a buffer containing a plurality of substrates causing a series of biochemical reactions that create a change corresponding to a concentration of the target analyte; and a detector to perform real-time analysis that correlates to a concentration of the organic compounds to determine a presence of the target analyte.

Abstract: Aspects of the disclosure relate to virtual containers configured to support multiple machine learning models. A computing platform may identify, over a network, a deployment identifier associated with a request to deploy one or more machine learning models. Subsequently, the computing platform may retrieve a pre-configured template for a virtualization container. Then, the computing platform may retrieve, from a file server, the one or more machine learning models. Then, the computing platform may retrieve, from a database, pre-processing scripts and post-processing scripts associated with the one or more machine learning models. Subsequently, the computing platform may modify the pre-configured template based on the one or more machine learning models, pre-processing and post-processing scripts. Then, the computing platform may deploy the modified virtualization container to apply the one or more machine learning models.

Abstract: Aspects of the disclosure relate to virtual containers configured to support multiple machine learning models. A computing platform may identify, over a network, a deployment identifier associated with a request to deploy one or more machine learning models. Subsequently, the computing platform may retrieve a pre-configured template for a virtualization container. Then, the computing platform may retrieve, from a file server, the one or more machine learning models. Then, the computing platform may retrieve, from a database, pre-processing scripts and post-processing scripts associated with the one or more machine learning models. Subsequently, the computing platform may modify the pre-configured template based on the one or more machine learning models, pre-processing and post-processing scripts. Then, the computing platform may deploy the modified virtualization container to apply the one or more machine learning models.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to monitoring virtual desktops accessed by devices at remote locations using machine-learning models to mitigate potential cyber-attacks. In some embodiments, a computing platform may monitor data associated with a series of activities from a virtual desktop accessed by a remote computing device. Subsequently, the computing platform may detect new activity data on the virtual desktop accessed by the remote computing device, and evaluate the new activity data relative to the data associated with the series of activities, wherein evaluating includes applying a machine learning model to the new activity data. Based on evaluating the new activity data, the computing platform may determine if the new activity data is indicative of a potential cyber-attack. In response to determining that the new activity data is indicative of a potential cyber-attack, the computing platform may initiate one or more security response actions.