Abstract: According to some aspects, an additive fabrication device and a build platform suitable for use within an additive fabrication device are provided. The build platform may include a build surface on which material may be formed by the additive fabrication device when the build platform is installed within the additive fabrication device. According to some embodiments, the build platform may include a flexible build layer and at least one removal mechanism configured to be actuated to apply a force to the flexible build layer. Such actuation may cause the flexible build layer to deform, thereby enabling separation of material adhered to the build surface from the build platform. According to some embodiments, the build platform may comprise a restorative mechanism that acts to return the flexible build layer to a flat state so that subsequent additive fabrication may form material on a flat build surface.

Abstract: Aspects herein are directed to, among other things, a knitted component for an article of footwear. The knitted component includes a knitted base layer secured to a knitted net layer. The knitted net layer may have a yarn defining cells with openings through which the knitted base layer is exposed. A thermoplastic polymer material, which may initially form yarn that forms the knitted net layer or the knitted base layer, may at least partially fuse the knitted base layer to the knitted net layer. In some aspects, the knitted component further includes one or more inlaid strands at least partially arranged between the knitted base and net layers. The inlaid strands may also include a thermoplastic polymer material that is at least partially melted during heating of the knitted component and, when cooled, fuses the inlaid strands to the knitted base layer and knitted net layer.

Abstract: A method includes determining first data indicative of processing parameters for processing a material in a laser processing system comprising a digital twin. The method further includes providing the first data as input to a trained machine learning model, wherein the digital twin comprises the trained machine learning model. The method further includes obtaining one or more outputs of the trained machine learning model, the one or more outputs indicating predicted performance data associated with the processing parameters for processing the material. The method further includes causing, based on the predicted performance data, the material to be processed according to the processing parameters.

Abstract: Aspects herein are directed to, among other things, a knitted upper for an article of footwear. The knitted upper includes different knit zones including a first knit zone which may be located in a toe and forefoot region of the article of footwear. The first knit zone includes a first knit layer forming an outer-facing surface of the knitted upper, a second knit layer forming an inner-facing surface of the knitted upper, and a third thermoformed layer substantially contained between the first knit layer and the second knit layer. The third thermoformed layer acts as a barrier, reducing the likelihood of abrasion forces that may occur from contact between the knitted upper and a ground or other surface from contacting yarns that form the second knit layer, thereby increasing the structural integrity of the knitted upper.

Abstract: Knit elements, including knit heel elements, configured with cushioning and rigidity features, along with uppers and footwear having the same, and methods of manufacturing and integrating the same in footwear. The cushioning and rigidity features may be provided in a knit element by positioning cushioning yarns and yarns comprising a thermoplastic material in selected zones and/or knit layers. Heat and pressure may be selectively applied to knit zones to melt the thermoplastic material and form a thermoformed layer that has a desired degree of hardness and/or rigidity. The thermoformed layer can form at least part of an integrally knit heel-counter of an upper for an article footwear, e.g., without introducing separate components traditionally attached or integrated to form the heel-counter.

Abstract: In one aspect of the disclosure, a knitted component for use in an article of footwear may include a first knitted layer and a second knitted layer at least partially overlapping the first knitted layer. The knitted component may also include an interlooped area comprising the first knitted layer interlooped with the second knitted layer and a knitted loop structure that is adjacent the interlooped area and that comprises the first knitted layer freely separable from the second knitted layer to comprise a passageway. The first knitted layer has a first edge comprising a first opening of the passageway and a second edge comprising a second opening of the passageway. Each of the first edge and the second edge extend in a course-wise direction and the passageway extends between the first opening and the second opening in a wale-wise direction.

Abstract: A method includes initializing, by at least one processing device, a set of parameters of an elastomer removal system for removing at least a portion of an elastomer material from a target surface, wherein the elastomer removal system includes laser generation system comprising a carbon dioxide (CO2) laser, and causing, by the at least one processing device, the elastomer removal system to remove at least the portion of the elastomer material from the target surface in accordance with the set of parameters.

Abstract: In one aspect of the disclosure, a knitted component for use in an article of footwear may include a first knitted layer and a second knitted layer at least partially overlapping the first knitted layer. The knitted component may also include an interlooped area comprising the first knitted layer interlooped with the second knitted layer and a knitted loop structure that is adjacent the interlooped area and that comprises the first knitted layer freely separable from the second knitted layer to comprise a passageway. The first knitted layer has a first edge comprising a first opening of the passageway and a second edge comprising a second opening of the passageway. Each of the first edge and the second edge extend in a course-wise direction and the passageway extends between the first opening and the second opening in a wale-wise direction.

Abstract: An example embodiment may involve receiving, at a node of a radio access network, input signals on a plurality of wireless channels, wherein uplink channels in the plurality of wireless channels are respectively associated with downlink channels in the plurality of wireless channels; determining up-link characteristics for the uplink channels; providing, to a trained neural network, the uplink characteristics, wherein the trained neural network was iteratively trained, with a training data set of recorded uplink characteristics and recorded downlink characteristics, to form predictions of the recorded downlink characteristics from the recorded uplink characteristics, wherein the trained neural network includes an encoder that maps the recorded uplink characteristics to latent vector representations, and a decoder that maps the latent vector representations to the predictions; receiving, from the trained neural network, a prediction of downlink characteristics for the downlink channels; and transmitting, on th

Abstract: A method of determining volume of a cargo space of a vehicle in real-time includes generating an initial spatial model of the cargo space using images from a plurality of cameras including cameras for capturing at least one of depth and color, positioned in and around the cargo space, where the images are stitched together into a dense point cloud in real-time, generating an updated spatial model of the cargo space using the images, upon detection of items being loaded or unloaded into the cargo space, where the updated spatial model includes changes to the cargo space, estimating a volume of loaded items in the updated spatial model, and determining a remaining volume of the cargo space based on the estimated volume of the loaded items and a total volume of the cargo space, where the total volume is calculated based on the initial spatial model.

Abstract: According to some aspects, an additive fabrication device and a build platform suitable for use within an additive fabrication device are provided. The build platform may include a build surface on which material may be formed by the additive fabrication device when the build platform is installed within the additive fabrication device. According to some embodiments, the build platform may include a flexible build layer and at least one removal mechanism configured to be actuated to apply a force to the flexible build layer. Such actuation may cause the flexible build layer to deform, thereby enabling separation of material adhered to the build surface from the build platform. According to some embodiments, the build platform may comprise a restorative mechanism that acts to return the flexible build layer to a flat state so that subsequent additive fabrication may form material on a flat build surface.

Abstract: Systems and methods for predicting a person's likelihood of a situational mental health condition (such as post-partum depression (PPD)) diagnosis using machine learning models are described. In one example, a mental health risk assessment system receives data at recurring intervals for a person during their pregnancy and in the year after their pregnancy. Based on both the recurring data for the person as well as the specific time period at which the data is obtained, a machine learning model can generate highly accurate mental health predictions. The mental health risk assessment system can further implement a software application that manages the flow of information from patients as well as presentation of information to the patients. Furthermore, the application can present targeted information for a patient to the patient's doctor or other medical personnel/facility.

Abstract: Disclosed are methods and systems for monitoring and modifying security modules for identifying cyber-security threats. For instance, a method may include partitioning an edge node of an aircraft into an edge node module and a cyber-security module, recording aircraft data corresponding to the aircraft, the aircraft data including log data and associated information, determining based on the aircraft data, that the aircraft has a ground location and that at least one engine of the aircraft is powered off, based on the determining, connecting at least one wireless interface of the edge node of the aircraft to a Centralized Service hosted on a cloud platform, sending the aircraft data to the Centralized Service, receiving at least one current cyber-security module identified by the Centralized Service based on the aircraft data, and modifying, the cyber-security module based on the received at least one current cyber-security module.

Abstract: According to some aspects, an additive fabrication device and a build platform suitable for use within an additive fabrication device are provided. The build platform may include a build surface on which material may be formed by the additive fabrication device when the build platform is installed within the additive fabrication device. According to some embodiments, the build platform may include a flexible build layer and at least one removal mechanism configured to be actuated to apply a force to the flexible build layer. Such actuation may cause the flexible build layer to deform, thereby enabling separation of material adhered to the build surface from the build platform. According to some embodiments, the build platform may comprise a restorative mechanism that acts to return the flexible build layer to a flat state so that subsequent additive fabrication may form material on a flat build surface.

Abstract: The current document is directed to reinforcement-learning-based management-system agents that control distributed applications and the infrastructure environments in which they run. Management-system agents are initially trained in simulated environments and specialized training environments before being deployed to live, target distributed computer systems where they operate in a controller mode in which they do not explore the control-state space or attempt to learn better policies and value functions, but instead produce traces that are collected and stored for subsequent use. Each deployed management-system agent is associated with a twin training agent that uses the collected traces produced by the deployed management-system agent for optimizing its policy and value functions. When the optimized policy is determined to be more robust, stable, and effective than the policy of the corresponding deployed management-system agent, the optimized policy is transferred to the deployed management-system agent.

Abstract: A coaptive surgical sealing tool may be similar to an ordinary hemostat with long (50, 60, 70 or 80 mm) thin jaws for sliding into the liver parenchyma, without tearing the larger blood vessels. The jaws are spring loaded and are designed for uniform compression, and to avoid closing too quickly. The jaws are capable of sealing a 50, 60, 70 or 80 mm sealing length, in a single bite, although it can also seal shorter lengths as well. The tool can be used with existing RF/bi-polar cautery generators.

Abstract: In one aspect of the disclosure, a knitted component for use in an article of footwear may include a first knitted layer and a second knitted layer at least partially overlapping the first knitted layer. The knitted component may also include an interlooped area comprising the first knitted layer interlooped with the second knitted layer and a knitted loop structure that is adjacent the interlooped area and that comprises the first knitted layer freely separable from the second knitted layer to comprise a passageway. The first knitted layer has a first edge comprising a first opening of the passageway and a second edge comprising a second opening of the passageway. Each of the first edge and the second edge extend in a course-wise direction and the passageway extends between the first opening and the second opening in a wale-wise direction.

Abstract: A method for identifying a position of an object in a cargo space includes identifying a region of interest (ROI) from a field of view of the cargo space being captured by a camera, where the camera captures at least one of depth and color of the field of view, extracting a plurality of planes from the ROI, where the plurality of planes correspond to a geometry of the object, clustering similar and nearby planes, where the clustering is based on a weight of two or more planes of the plurality of planes and where the weight is assigned based on a property of orthogonality and a property of dimensions of two or more planes of the plurality of planes, modelling a multi-dimensional bounding box corresponding to the object based on the clustered planes, and identifying a position of the object based on a position of the multi-dimensional bounding box.

Abstract: A knitted component includes a first side extending along a perimeter of the knitted member to define a lower edge of the knitted member and a pair of heel edges that can be joined together, and a second side that defines a throat region and/or a collar region. A plurality of rows of the knitted component extend between the first side and the second side, and a continuous strand is integrated with the knitted component to form a plurality of strand segments that extend within respective ones of the plurality of rows of the knitted component between the first side and the second side.

Abstract: A cleaner device is adapted to clean a blood vessel sealer device. The cleaner device includes a series of brushes that can move relative to blood vessel sealer device to scrub and clean the blood vessel sealer device when coupled to the cleaner device. The brushes can be made of any material that is adapted to clean the blood vessel sealer device. The cleaner device can also be motorized to facilitate cleaning of the blood vessel sealer device.