Abstract: A method for training a deep learning model of a patterning process. The method includes obtaining (i) training data comprising an input image of at least a part of a substrate having a plurality of features and a truth image, (ii) a set of classes, each class corresponding to a feature of the plurality of features of the substrate within the input image, and (iii) a deep learning model configured to receive the training data and the set of classes, generating a predicted image, by modeling and/or simulation of the deep learning model using the input image, assigning a class of the set of classes to a feature within the predicted image based on matching of the feature with a corresponding feature within the truth image, and generating, by modeling and/or simulation, a trained deep learning model by iteratively assigning weights using a loss function.

Abstract: In a lithographic process, product units such as semiconductor wafers are subjected to lithographic patterning operations and chemical and physical processing operations. Alignment data or other measurements are made at stages during the performance of the process to obtain object data representing positional deviation or other parameters measured at points spatially distributed across each unit. This object data is used to obtain diagnostic information by performing a multivariate analysis to decompose a set of vectors representing the units in the multidimensional space into one or more component vectors. Diagnostic information about the industrial process is extracted using the component vectors. The performance of the industrial process for subsequent product units can be controlled based on the extracted diagnostic information.

Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.

Abstract: The present invention is generally related to systems and methods for providing an improved authentication and verification system through the use of compiled user data and user location or traffic data from multiple channels of input. Multiple devices may be utilized by the system in order to receive and process data to authenticate user identities and verify the validity of account activity.

Abstract: A biological composition has a mixture of mechanically selected allogeneic biologic material derived from bone marrow. The mixture has non-whole cellular components including vesicular components and active and inactive components of biological activity, cell fragments, cellular excretions, cellular derivatives, and extracellular components. The mixture including non-whole cell fractions including one or more of exosomes, transcriptosomes, proteasomes, membrane rafts, lipid rafts. The mixture is compatible with biologic function.

Abstract: A method of determining a measurement sequence for an inspection tool inspecting a structure generated by a lithographic process performed by a lithographic system is presented, the method including deriving a model for the lithographic process as performed by the lithographic system, the model including a relationship between a set of system variables describing the lithographic system and an output variable representing the structure resulting of the lithographic process, determining an observability of one or more system variables in the output variable, and determining the measurement sequence for the inspection tool, based on the observability.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for cross-channel network security with tiered adaptive mitigation operations. In this regard, the invention is structured for dynamic detection of security events associated with network devices and resources, and triggering real-time mitigation operations across a plurality of resource channels. The invention provides a novel method for employing activity data to construct and implement mitigation actions for de-escalating authorization tiers that are adapted to the specific attributes of the activity data, in order to prevent security exposure associated with the activity. Another aspect of the invention is directed to determining whether to continue the tiered adaptive mitigation actions and/or trigger a security proceed signal.

Abstract: Components, systems and kits for capturing and removing tissue from mammalian bodies include a tissue container that may be introduced into a body cavity and within which a tissue specimen may be placed, cut and removed from the body cavity. Methods of using these components, systems and kits are also described.

Abstract: Systems, computer program products, and methods are described herein for detection and classification of intrusion using machine learning techniques. The present invention is configured to electronically receive, from a computing device of a user, an indication that the user has initiated a first resource interaction; retrieve information associated with the first resource interaction, wherein the information comprises at least one or more parameters associated with the first resource interaction; initiate a machine learning model on the one or more parameters associated with the first resource interaction; and classify, using the machine learning model, the first resource interaction into one or more classes, wherein the one or more classes comprises one or more access types.

Abstract: The disclosure is directed to, among other things, systems and methods for associating website visitors with a sticky dynamic internet protocol (IP) address. An example method may include identifying one or more first web-based cookies associated with a first IP address or one or more first user agents associated with the first IP address as being received by a web server associated with a website. The example method may also include determining a density measurement for the first IP address, the density measurement being a maximum number of the one or more first web-based cookies or the one or more first user agents that are identified as being received at the web server at a single time. The example method may also include determining that the density measurement is less than or equal to a threshold value. The example method may also include determining, based on the density measurement being less than or equal to the threshold value, that the first IP address is a first sticky dynamic IP address.

Abstract: Systems, computer program products, and methods are described herein for intrusion detection using resource activity analysis. The present invention is configured to receive, from a computing device of a user, an indication that the user has accessed a resource allocation portfolio of a customer; determine a geographic information of the user; retrieve a geographic information of the customer; determine that the geographic information of the user does not match the geographic information of the customer; determine an exposure level associated with the user access of the resource allocation portfolio of the customer; determine that the exposure level is greater than a predetermined threshold; and automatically trigger a transmission of a notification to a computing device of an administrator indicating that the exposure level associated with the user access of the resource allocation portfolio of the customer is greater than the predetermined threshold.

Abstract: An example extrusion blow molding (EBM) method includes extruding first and second colors of plastic to form a parison that includes an inner layer of the first color of plastic, and an outer layer of the second color of plastic. The parison is placed in a mold, the mold is closed, and the parison is inflated to create a blow molded structure. A portion of an interior of the blow molded structure is formed of the first color of plastic, and a portion of an exterior of the blow molded structure is formed of a blend of the first color of plastic and the second color of plastic.

Abstract: The invention relates to alternate user communication routing for a one-time credential. When a user is determined to be an unauthorized user, the unauthorized user may be provided with an alternative one-time credential (e.g., one-time password, or the like) in response to the user trying to take an action (e.g., to access the organization systems in order to access information). When the unauthorized user tries to utilize the alternative one-time credential, the organization may identify the user as unauthorized and determine how to respond to the unauthorized user. In addition to the alternative one-time credential, one or more additional alternate treatments may be presented to the unauthorized user in order to identify, track, and/or prevent access by the unauthorized user.

Abstract: A spray apparatus having a feed conduit, and a stabilizing member having a stabilizing mounting plate and a stabilizing conduit, wherein the stabilizing conduit receives the feed conduit, wherein the feed conduit is configured to rotationally engage the stabilizing conduit, and wherein the spray apparatus is configured to mount to a manway port of a storage tank.

Abstract: In a lithographic process, product units such as semiconductor wafers are subjected to lithographic patterning operations and chemical and physical processing operations. Alignment data or other measurements are made at stages during the performance of the process to obtain object data representing positional deviation or other parameters measured at points spatially distributed across each unit. This object data is used to obtain diagnostic information by performing a multivariate analysis to decompose a set of vectors representing the units in the multidimensional space into one or more component vectors. Diagnostic information about the industrial process is extracted using the component vectors. The performance of the industrial process for subsequent product units can be controlled based on the extracted diagnostic information.

Abstract: An example extrusion blow molding (EBM) method includes extruding first and second colors of plastic to form a parison that includes an inner layer of the first color of plastic, and an outer layer of the second color of plastic. The parison is placed in a mold, the mold is closed, and the parison is inflated to create a blow molded structure. A portion of an interior of the blow molded structure is formed of the first color of plastic, and a portion of an exterior of the blow molded structure is formed of a blend of the first color of plastic and the second color of plastic.

Abstract: A method for training a deep learning model of a patterning process. The method includes obtaining (i) training data including an input image of at least a part of a substrate having a plurality of features and including a truth image, (ii) a set of classes, each class corresponding to a feature of the plurality of features of the substrate within the input image, and (iii) a deep learning model configured to receive the training data and the set of classes, generating a predicted image, by modeling and/or simulation with the deep learning model using the input image, assigning a class of the set of classes to a feature within the predicted image based on matching of the feature with a corresponding feature within the truth image, and generating, by modeling and/or simulation, a trained deep learning model by iteratively assigning weights using a loss function.

Abstract: A tank support assembly for a vehicle includes a vehicle structure and a storage tank assembly. The storage tank assembly is held in place relative to the vehicle structure via a magnetic support system. The magnetic support system includes tank magnets affixed to the storage tank assembly and structure magnets affixed to the vehicle structure. The tank magnets interact with the structure magnets to passively provide repulsive magnetic forces that constrain movement of the storage tank assembly relative to the vehicle structure without the tank magnets mechanically engaging the structure magnets.

Abstract: A method for training a machine learning model configured to predict a substrate image corresponding to a printed pattern of a substrate as measured via a metrology tool. The method involves obtaining a training data set including (i) metrology data of the metrology tool used to measure the printed pattern of the substrate, and (ii) a representation of a mask pattern employed for imaging the printed pattern on the substrate; and training, based on the training data set, a machine learning model to predict the substrate image of the substrate as measured by the metrology tool such that a cost function is improved, wherein the cost function includes a relationship between the predicted substrate image and the metrology data.

Abstract: A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.