Abstract: Disclosed herein are a method and system for processing medical image data. The method can comprise querying, using one or more monitor processors of a Picture Archiving and Communication System (PACS) monitor, a storage unit on a PACS server for available image data; determining, using the one or more monitor processors, if the available image data is new image data; retrieving, using the one or more monitor processors, the new image data from the storage unit on the PACS server if the available image data is new image data; processing, using one or more model processors, the new image data using a machine learning model to obtain a model result; generating, using the one or more model processors, at least one of an enhanced image data and a model result report based on the model result; and storing the at least one of the enhanced image data and the model result report for retrieval by a computing device.

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: A method involving obtaining a resist deformation model for simulating a deformation process of a pattern in resist, the resist deformation model being a fluid dynamics model configured to simulate an intrafluid force acting on the resist, performing, using the resist deformation model, a computer simulation of the deformation process to obtain a deformation of the developed resist pattern for an input pattern to the resist deformation model, and producing electronic data representing the deformation of the developed resist pattern for the input pattern.

Abstract: A computer program for providing access to auto insurance information comprises a first software widget and a second software widget. The first software widget may appear on a display of a mobile electronic device. When selected by a user, the first software widget displays a first information screen that includes a phone number and a mailing address for an insurance agent of the user. The second software widget may also appear on the display. When selected by the user, the second software widget displays a second information screen that includes an image of an auto insurance card of the user. The second software widget may compare an expiration date from the second information screen with the current date and generate a first indicia if the expiration date occurred before the current date (such as if the virtual auto insurance card is out of date and needs to be updated).

Abstract: A side facing seat includes a seat back element and a moveable seat base element disposed below the seat back element. The moveable seat base element is moveable at least between a stored position and a seating position. Movement of the moveable seat base element is controlled by an activation element that is configured to engage with a locking mechanism such that the locking mechanism is able to lock the moveable seat base element in the stored position or the seating position.

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: An alternative seating arrangement of a vehicle with a variety of vehicle restraints and occupant safety systems that are associated with the alternative seating arrangement. Many embodiments include rear facing and side facing seats.

Abstract: A viable disc regenerative composition has a micronized material of nucleus pulposus and a biological composition made from a mixture of mechanically selected allogeneic biologic material derived from bone marrow having non-whole cellular components including vesicular components and active and inactive components of biological activity, cell fragments, cellular excretions, cellular derivatives, and extracellular components; and wherein the mixture is compatible with biologic function and further includes non-expanded whole cells. The biological composition is predisposed to demonstrate or support elaboration of active volume or spatial geometry consistent in morphology with that of disc tissue. The viable disc regenerative composition extends regenerative resonance that compliments or mimics disc tissue complexity.

Abstract: An apparatus for suspending a sensor element is provided. The apparatus can include a housing including a cavity, an inner surface, and a first end cap integrally formed within a first end of the housing. The housing can include a sensor element therein. The first end cap can include a first plurality of suspension elements integrally formed within the first end cap and arranged to project from a surface of the first end cap toward the cavity. The inner surface of the housing and/or the first plurality of suspension elements can suspend the sensor element within the cavity as the sensor element translates within the cavity. Related systems and methods of manufacture are also described.

Abstract: A spherical hand exerciser has a resilient, non-slip exterior with an off-center cavity and a weighted core housed within the cavity. A method of performing physical therapy with the exerciser includes grasping at least one exerciser; and manipulating it around the hand and fingers. The offset placement of the weighted core works stabilizer muscles of the fingers, hand, wrist, and forearm during manipulation, increasing the synergy and workable range of motion of both the flexor and the extensor muscles, allowing for faster learning and better effects.

Abstract: A gate latch assembly includes a first door mountable portion including a first body and carrying a pivotable latch bar that extends outward from a side of the first body, and a first handle part operatively connected to effect pivot of the latch bar when the first handle is rotated, a second door mountable portion including a second body and carrying a pivot bar, and a second handle part operatively connected to effect pivot of the pivot bar when the second handle is rotated. The gate latch assembly can be assembled in either a first configuration to permit rotation of the pivot bar away from its neutral position in only a first direction, or a second configuration to permit rotation of the pivot bar away from its neutral position in only a second direction that is opposite the first direction.

Abstract: A method for determining an optimized weighting of an encoder and decoder network; the method comprising: for each of a plurality of test weightings, performing the following steps with the encoder and decoder operating using the test weighting: (a) encoding, using the encoder, a reference image and a distorted image into a latent space to form an encoding; (b) decoding the encoding, using the decoder, to form a distortion map indicative of a difference between the reference image and a distorted image; (c) spatially transforming the distorted image by the distortion map to obtain an aligned image; (d) comparing the aligned image to the reference image to obtain a similarity metric; and (e) determining a loss function which is at least partially defined by the similarity metric; wherein the optimized weighting is determined to be the test weighting which has an optimized loss function.

Abstract: An inspection tool comprises an imaging system configured to image a portion of a semiconductor substrate. The inspection tool may further comprise an image analysis system configured to obtain an image of a structure on the semiconductor substrate from the imaging system, encode the image of the structure into a latent space thereby forming a first encoding. the image analysis system may subtract an artifact vector, representative of an artifact in the image, from the encoding thereby forming a second encoding; and decode the second encoding to obtain a decoded image.

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: A method and system for predicting complex electric field images with a parameterized model are described. A latent space representation of a complex electric field image is determined based on dimensional data in a latent space of the parameterized model for a given input to the parameterized model. The given input may be a measured amplitude (e.g., intensity) associated with the complex electric field image. The complex electric field image is predicted based on the latent space representation of the complex electric field image. The predicted complex electric field image includes an amplitude and a phase. The parameterized model comprises encoder-decoder architecture. In some embodiments, determining the latent space representation of the electric field image comprises minimizing a function constrained by a set of electric field images that could be predicted by the parameterized model based on the dimensional data in the latent space and the given input.

Abstract: Methods, systems, and circuitries are provided for detecting flame in a fuel oil burner. In one example, a method includes receiving a series of one or more light samples, each indicative of a level of light. When the fuel oil burner is operating in the flame expected mode, the method includes determining whether the values of the one or more of the light samples exceed a flame threshold; determining whether the values of the one or more of the light samples meet secondary criteria; determining that a flame is present when the values of the one or more light samples exceed the flame threshold and meet the secondary criteria; and determining that a flame is not present when the values of the one or more light samples are below the flame threshold or do not meet the secondary criteria.

Abstract: A system and method for generating predictive images for wafer inspection using machine learning are provided. Some embodiments of the system and method include acquiring the wafer after a photoresist applied to the wafer has been developed; imaging a portion of a segment of the developed wafer; acquiring the wafer after the wafer has been etched; imaging the segment of the etched wafer; training a machine learning model using the imaged portion of the developed wafer and the imaged segment of the etched wafer; and applying the trained machine learning model using the imaged segment of the etched wafer to generate predictive images of a developed wafer. Some embodiments include imaging a segment of the developed wafer; imaging a portion of the segment of the etched wafer; training a machine learning model; and applying the trained machine learning model to generate predictive after-etch images of the developed wafer.

Abstract: A USB cable that includes a cable coupling element selected from a first connector, a printed circuit board, or a device, as well as a multi-port connector that includes a multi-port connector including a housing, at least two ports defined by the housing, at least two female USB connectors disposed within the housing, and at least two retention arms extending from the housing. The USB cable also includes conductors electrically coupling the first connector to the at least two female USB connectors and a jacket extending between the first connector and the multi-port connector, wherein the conductors are at least partially disposed within the jacket. In another USB cable, in addition to or as an alternative to the retention arms, each of the at least two female USB connectors is spaced at least 10 mm from the opening of the port through which the female USB connector is accessible.

Abstract: Disclosed are methods and systems for processing medical image data. The method comprising inputting, with one or more processors of one or more computation devices, medical image data into a model for nodule detection; calculating, for at least one nodule detected by the model for nodule detection, a nodule histogram of all voxel intensities of said nodule; determining, from each nodule histogram, a nodule classification among a plurality of nodule classifications for the at least one nodule.