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 thermoset non-isocyanate polyurethane foam (NIPU) composition includes a reaction product of a polycyclic carbonate, a polyamine; and a foaming ingredient including a carbonate-based chemical foaming agent. The reaction product is configured to form a urethane bond. The polycyclic carbonate and the polyamine can be bio-derived. A process for making the NIPU foam includes the steps of: (a) selecting a polycyclic carbonate and a polyamine; (b) mixing the polycyclic carbonate and the polyamine to form a reactant product including a partially cured gel matrix; (c) adding a foaming ingredient comprising a blowing agent including a carbonate; (d) curing the mixture to form the NIPU foam. Optionally, a first catalyst can be added to step (b); and additional foaming ingredients selected from the group consisting of an accelerant, a surfactant, and a combination thereof can be added prior to step (d).

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: An apparatus for cleansing wounds, in which wound exudate is removed from a wound bed and selectively cleansed and returned to the wound. The cleansing means removes materials deleterious to wound healing, and the cleansed fluid, still containing materials that are beneficial in promoting wound healing, is returned to the wound bed. The associated wound dressing and cleansing means are conformable to the wound, and may have irrigant fluid circulated from a reservoir by a device for moving fluid through a flow path which passes through the dressing and a means for fluid cleansing and back to the dressing.

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: 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: An apparatus for cleansing wounds with means for stressing the wound bed and optionally tissue surrounding the wound, in which irrigant fluid from a reservoir connected to a conformable wound dressing and wound exudate from the dressing are recirculated by a devise for moving fluid through a flow path which passes through the dressing and a means for fluid cleansing and back to the dressing. The cleansing means (which may be a single-phase, e.g. micro-filtration, system or a two-phase, e.g. dialytic system) removes materials deleterious to wound healing, and the cleansed fluid, still containing materials that are beneficial in promoting wound healing, is returned to the wound bed. The means for stressing the wound bed and optionally tissue surrounding the wound promotes wound healing. The dressing and a method of treatment using the apparatus.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that may cause the processor to access data about an environment of an agent, identify an actor in the environment, and access candidate models, in which each of the candidate models may predict a certain action of the identified actor. The instructions may also cause the processor to apply a selected candidate model of the accessed candidate models on the accessed data to determine a predicted action of the identified actor and may implement a recursive reinforcement learning model using the predicted action of the identified actor to determine an action that the agent is to perform. The instructions may further cause the processor to cause the agent to perform the determined action.

Abstract: A cleaning system for an additively manufactured component includes a tank storing a cleaning fluid. A fluid circuit is operably coupled with the tank. A pump is coupled with the fluid circuit. A manifold is configured to receive fluid from the fluid circuit through the pump. At least one of a coupler defined by the manifold or a hose is coupled with the manifold. The at least one of the coupler defined by the manifold or the hose is further configured to couple with said additively manufactured component.

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: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions that may cause the processor to access data about an environment of an agent, identify an actor in the environment, and access candidate models, in which each of the candidate models may predict a certain action of the identified actor. The instructions may also cause the processor to apply a selected candidate model of the accessed candidate models on the accessed data to determine a predicted action of the identified actor and may implement a recursive reinforcement learning model using the predicted action of the identified actor to determine an action that the agent is to perform. The instructions may further cause the processor to cause the agent to perform the determined action.

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: An apparatus and method for aspirating, irrigating and/or cleansing wounds is provided. The apparatus and method include one or more of the following: simultaneous aspiration and irrigation of the wound, supplying of thermal energy to fluid circulated through the wound; supplying physiologically active agents to the wound; a biodegradable scaffold in contact with the wound bed; and application of stress or flow stress to the wound bed.

Abstract: An apparatus and method for cleansing and applying therapy or prophylaxis to wounds, in which irrigant fluid, which may contain a physiologically active material, and wound exudate from the dressing are moved by a device for moving fluid through a flow path which passes through the dressing. A means for fluid cleansing may also be provided to recirculate fluid back to the dressing. The cleansing means removes materials deleterious to wound healing, and the cleansed fluid, still containing materials that are beneficial in promoting wound healing, is returned to the wound bed. The apparatus may also provide means for distributing such materials in a precise and time-controlled manner over the wound bed. It may also contain a means for providing simultaneous aspiration and irrigation of the wound.

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.