Abstract: A system for automating GUI digital content tracking is used to conduct a back end navigation event in which partitioned digital content blocks are sequentially displayed via an agent GUI. The system receives, in the back end navigation event, in association with at least some of the displayed partitioned digital content blocks, respective agent inputs indicating tracking markers within the partitioned digital content blocks. The system further establishes automated tracking of downstream user navigation events in which the partitioned digital content blocks are displayed in user GUIs, and generates tracking data including quantifications of user interactions, in the tracked downstream user navigation events, with the indicated tracking markers. At least a portion of the tracking data is displayed in a back end evaluation event.

Abstract: A system for automating GUI digital content tracking is used to conduct a back end navigation event in which partitioned digital content blocks are sequentially displayed via an agent GUI. The system receives, in the back end navigation event, in association with at least some of the displayed partitioned digital content blocks, respective agent inputs indicating tracking markers within the partitioned digital content blocks. The system further establishes automated tracking of downstream user navigation events in which the partitioned digital content blocks are displayed in user GUIs, and generates tracking data including quantifications of user interactions, in the tracked downstream user navigation events, with the indicated tracking markers. At least a portion of the tracking data is displayed in a back end evaluation event.

Abstract: A vehicle logo-based controller is provided. The logo can include buttons. A system can include one or more processors communicatively coupled with memory and the logo. The system can detect one or more inputs from the buttons. The system can compare the one or more detected inputs with one or more stored inputs to determine a match. The system can determine, responsive to the comparison, a function of a vehicle, such as unlocking a compartment.

Abstract: In a small molecule drug discovery method, a transition state for a specific enzyme is modelled using quantum mechanics and molecular dynamics based simulation of the enzyme and substrate reaction; data defining the transition state (a ‘quantum pharmacophore’) is fed to a machine learning engine configured to generate transition state analogues, such as enzyme inhibitors.

Abstract: A building framework is disclosed herein having a first structural member, a second structural member, and a third structural member disposed between the first and second structural members, a first web member connecting the first and third structural members in a spaced apart relationship, and a second web member connecting the second and third structural members in a spaced apart relationship. The first web member is positioned relative to the second web member such that the shortest distance between the first web member and second web member is greater than or equal to 5 times the thickness of the third structural member. Additional products, systems, and methods also are disclosed.

Abstract: Gaming systems and methods that activate different reel sets based on different events occurring during a triggered sequence.

Abstract: A device for depositing layers on flat substrates includes a susceptor which can be heated by a heating device. The substrates and cover plates enclosing same are arranged on an upper face of the susceptor facing a process chamber. The cover plates include inner cover plates, each of which forms an edge adjoining a substrate edge facing the center of the susceptor. The inner cover plates are arranged about the center of the susceptor in the circumferential direction, and adjacent ones of the inner cover plates adjoin each other at a separation joint. The separation joint is arranged at an angle ? to a line which extends through the center of the susceptor and the center of one of the substrates in a radial direction.

Abstract: A susceptor assembly, which is situated in a reactor housing, has at least one wide side plane that faces a process chamber, at least one pocket, and a carrying element that lies in the at least one pocket, for carrying and handling a substrate. An upper face of the carrying element is adjacent to a limiting face of a recess in which the substrate is arranged. A section of the limiting face which runs along a cylinder inner lateral face merges into the upper face of the carrying element, forming a rounded edge or chamfer. To reduce the growth of parasitic deposits on an inner edge of the carrying element, the section of the limiting face which runs along the cylinder inner lateral face has a height which is greater than the material thickness of the substrate, and the radius of the rounded edge is greater than 0.4 mm.

Abstract: A device for depositing layers on flat substrates includes a susceptor which can be heated by a heating device. The substrates and cover plates enclosing same are arranged on an upper face of the susceptor facing a process chamber. The cover plates include inner cover plates, each of which forms an edge adjoining a substrate edge facing the center of the susceptor. The inner cover plates are arranged about the center of the susceptor in the circumferential direction, and adjacent ones of the inner cover plates adjoin each other at a separation joint. The separation joint is arranged at an angle ? to a line which extends through the center of the susceptor and the center of one of the substrates in a radial direction.

Abstract: A method and system for dynamically representing the separation for air traffic has been developed. First, air traffic is detected which requires maintenance of a separation distance from an ownship aircraft. The ground speed of the ownship, the ground speed of the air traffic and the current separation distance is determined. A predicted separation distance is calculated following a specific time interval. The predicted separation distance between the air traffic and the ownship is based on a differential in ground speed between the air traffic and the ownship and the specific time interval. The location of the air traffic, the separation distance and the predicted separation distance are all shown on a graphical display onboard the ownship. The separation distance and the predicted separation distance are represented on a non-linear scale on the graphical display.

Abstract: A system for guiding interactions with a user device requests a response from first users, stores the response as response data forming a subset of a personal data set of each of the responding first users, and generates a predictive model during training of a machine learning program with a training data set including the personal data set of each of the first users. The predictive model predicts a predicted response of a second user associated with the user device by correlating a personal data set of the second user to the personal data set of at least one of the first users. The computer sends a communication to the user device of the second user having content relating to the first product and/or service when it is determined that the predicted response indicates an interest in or preference of the second user for the first product and/or service.

Abstract: A system and method for training an artificial intelligence engine for real-time monitoring to eliminate false positives is disclosed. The system includes at least one processor, a communication interface coupled to the processor, and a memory device storing executable code. Executing the executable code causes the processor to receive data from an AI security model, receive data from a false positive database, and correlate both sets of data. The correlated data is used to generate a training dataset and a test dataset used to train a false positive identification model. After evaluating the false positive identification model, an AI engine is applied to user registration. The AI engine includes an AI security model and the false positive identification model. Additionally, a system for evaluating the security of user registration utilizing the false positive identification model is disclosed.

Abstract: A system for automating GUI digital content tracking is used to conduct a back end navigation event in which partitioned digital content blocks are sequentially displayed via an agent GUI. The system receives, in the back end navigation event, in association with at least some of the displayed partitioned digital content blocks, respective agent inputs indicating tracking markers within the partitioned digital content blocks. The system further establishes automated tracking of downstream user navigation events in which the partitioned digital content blocks are displayed in user GUIs, and generates tracking data including quantifications of user interactions, in the tracked downstream user navigation events, with the indicated tracking markers. At least a portion of the tracking data is displayed in a back end evaluation event.

Abstract: A system for automating GUI digital content tracking is used to conduct a back end navigation event in which partitioned digital content blocks are sequentially displayed via an agent GUI. The system receives, in the back end navigation event, in association with at least some of the displayed partitioned digital content blocks, respective agent inputs indicating tracking markers within the partitioned digital content blocks. The system further establishes automated tracking of downstream user navigation events in which the partitioned digital content blocks are displayed in user GUIs, and generates tracking data including quantifications of user interactions, in the tracked downstream user navigation events, with the indicated tracking markers. At least a portion of the tracking data is displayed in a back end evaluation event.

Abstract: A system for guiding interactions with a user device requests a response from a plurality of users, stores the response as response data forming a subset of a personal data set of each of the responding users, and generates a predictive model during training of a machine learning program utilizing at least one neural network with a training data set including the personal data set of each of the plurality of users. The predictive model predicts a probability of a first one of the users associated with the user device interacting with a first product and/or service by correlating a personal data set of the first one of the users to the personal data set of at least a second one of the users and sends a communication relating to the first product and/or service to the user device when the predicted probability meets or exceeds a threshold value.