Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate synthetized digital images via multi-resolution generator neural networks. The disclosed system extracts multi-resolution features from a scene representation to condition a spatial feature tensor and a latent code to modulate an output of a generator neural network. For example, the disclosed systems utilizes a base encoder of the generator neural network to generate a feature set from a semantic label map of a scene. The disclosed system then utilizes a bottom-up encoder to extract multi-resolution features and generate a latent code from the feature set. Furthermore, the disclosed system determines a spatial feature tensor by utilizing a top-down encoder to up-sample and aggregate the multi-resolution features. The disclosed system then utilizes a decoder to generate a synthesized digital image based on the spatial feature tensor and the latent code.

Abstract: A back-to-back ultra-slim module (USM) includes an inline USM (USMi) connector and a top mount USM (USMt) connector. The back-to-back USM assembly can be made as a double-sided module to allow a stacked module configuration to save system area. The stacked module has a USMi module inline with the system board on one side of the system board, and a USMt module vertically offset from the other side of the system board. The stacked module can have a thermal layer between the USMi module and the USMt module.

Abstract: Embodiments of the present disclosure relate to parallel mask rule checking on evolving mask shapes in optical proximity correction (OPC) flows for integrated circuit designs. Systems and methods are disclosed that perform mask (manufacturing) rule checks (MRC) in parallel, sharing information to maintain symmetry when violations are corrected. In an embodiment the shared information is also used to minimize changes to the geometric area of proposed mask shapes resulting from the OPC. In contrast to conventional systems, MRC is performed for multiple edges in parallel, sharing information between the different edges to encourage symmetry. In an embodiment, all edges may be adjusted in parallel to reduce mask-edge traversal bias.

Abstract: In implementations of systems for image inversion using multiple latent spaces, a computing device implements an inversion system to generate a segment map that segments an input digital image into a first image region and a second image region and assigns the first image region to a first latent space and the second image region to a second latent space that corresponds to a layer of a convolutional neural network. An inverted latent representation of the input digital image is computed using a binary mask for the second image region. The inversion system modifies the inverted latent representation of the input digital image using an edit direction vector that corresponds to a visual feature. An output digital image is generated that depicts a reconstruction of the input digital image having the visual feature based on the modified inverted latent representation of the input digital image.

Abstract: To provide a novel polysaccharide derivative which can be used to form a conjugate with a drug and can be used as a medical material, and a polysaccharide derivative-drug conjugate which uses the same. A polysaccharide derivative obtained by introducing a group represented by formula (A) to a polysaccharide which is acidic, basic or both, and a polysaccharide derivative-drug conjugate of said polysaccharide derivative and a drug.

Abstract: A system for processing patient data associated with a joint of a patient. The system comprising a computing device executing instructions to generate a 3D patient bone model of the joint in a non-weighted pose. The instructions rearrange 3D first and second bone models in order to mimic a weighted pose of the joint of the patient from a 2D image of the joint of the patient in a weighted pose by performing the steps of: generating a plurality of 2D projections of poses of the 3D patient bone model; comparing the plurality of 2D projections to contour lines of the first bone and the second bone in the 2D image; identifying particular 2D projections that best-fit a shape and size of the contour lines; and arranging the 3D first and second bone models relative to each other according to orientations represented by the particular 2D projections that were identified.

Abstract: Disclosed herein are network appliances, methods, computer-readable media, and systems for aggregating network traffic statistics in a communication network. For example, the network appliance is to receive a SYN network packet; store header information from the SYN network packet in a flow data table; for each of the data packets related to the SYN network packet, store header information of the data packets in the flow table; after a predetermined amount of time or a predetermined number of rows is reached, invoke an eviction policy on the flow data table, wherein the eviction policy removes the related data packets from the flow data table; and populate an accumulating map with the flow data table.

Abstract: Disclosed herein are network information collectors, methods, computer-readable media, and systems for generating network traffic statistics. For example, the network appliance is to receive, via a network, an accumulating map from a network appliance device, wherein the accumulating map comprises a condensed and aggregated version of web traffic flow information to the network appliance device; receive, via the network, additional accumulating maps from other network appliance devices; populate an accumulation map database with the accumulating map and the additional accumulating maps; and generate a report of the network traffic statistics hosted by the network appliance device and the other network appliance devices.

Abstract: A combustion system may include a detonation combustor comprising one or more detonation chamber walls defining a detonation chamber, a deflagration combustor comprising one or more deflagration chamber walls defining a deflagration chamber, and one or more conjugate chamber walls defining a conjugate chamber, with the conjugate chamber in fluid communication with the detonation chamber and the deflagration chamber. The detonation chamber includes a detonation region and a nozzle region, with the nozzle region providing fluid communication between the detonation region and the conjugate chamber.

Abstract: Robotic system and methods for robotic arthroplasty are provided. The robotic system includes a machining system and a guidance system. The guidance station tracks movement of one or more of various objects in the operating room, such as a surgical tool, a tibia of a patient, a talus of the patient, or a component of an implant. The guidance system tracks these objects for purposes of displaying their relative positions and orientations to the surgeon and, in some cases, for purposes of controlling movement of the surgical tool of the machining system relative to virtual cutting boundaries or other virtual objects associated with the tibia and talus to facilitate preparation of bone to receive an ankle implant system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating models. In some implementations, a system obtains data that comprises promotions and parameters for an opportunity. The system generates transformation spaces based on the promotions and the parameters, wherein each transformation space comprises states, each state is based on the parameters for a particular promotion. The system iterates over a number of iterations. For each transformation space, the system adjusts a state of the transformation space based on actions. The system generates a model by combining each adjusted state. The system generates an entropy for the model. The system compares the entropy to a threshold value, wherein the threshold value corresponds to one of the parameters. In response to determining that the entropy exceeds the threshold value, the system iterates. The system provides the generated model for output.

Abstract: Some embodiments of the compositions and methods disclosed herein include gene-edited, artificial immunoregulatory T cells (airT cells) comprising a constitutively expressed FoxP3 gene product expressed at a level equal to or greater than the level of FoxP3 expression in natural T regulatory (Treg or suppressor T) cells, and a transduced (e.g., artificially engineered by gene editing, viral vector transduction, transfection or other genetic engineering methodologies) T cell receptor (TCR). In some embodiments, the TCR is preferably specific for an antigen associated with an autoimmune, allergic, or other inflammatory condition. Some embodiments include methods for the preparation and/or use of airT cells. Some such embodiments include use of airT cells for the treatment and/or amelioration of a disorder, in which antigen-specific immunosuppression may be beneficial, such as an autoimmune, allergic, or other inflammatory disorder.

Abstract: A present disclosure relates to a switch assembly for a vehicle. The switch assembly comprises a housing, a carrier assembly, a base assembly, and an actuator. The carrier assembly is positioned at a top end of the housing. A knob has a protrusion extending downwardly through an opening of an intermediate member. A carrier has a first cutout to accommodate the protrusion of the knob and a second cut-out to movably accommodate a first biasing member. The base assembly comprises a base member and a microswitch supported by the base member and connected to terminals placed within the base member. The actuator is defined with a cam profile configured to allow a displaceable member to displace on the cam profile between a first end and a second end of the actuator.

Abstract: Disclosed herein are systems and methods for manipulating the orientation of a plurality of bone fragments with respect to one another. A bone transport frame including first and second rings, a plurality of elongate struts, and a plurality of ring transport assemblies for orienting a first bone segment with respect to a second bone segment is disclosed. A third ring may be included in the bone transport frame for orienting a third bone segment with respect to the first and second bone segments. Manipulation of an adjustable member of the bone transport frame can transport a ring in either a proximal or distal direction with respect to other rings of the frame. Manipulation of another adjustable member of the bone transport frame can translate a central axis of one of the rings either toward or away from the central axes of the plurality of elongate struts.

Abstract: Machine learning is used to train a network to estimate a three-dimensional (3D) body surface and body regions of a patient from surface images of the patient. The estimated 3D body surface of the patient is used to determine an isocenter of the patient. The estimated body regions are used to generate heatmaps representing visible body region boundaries and unseen body region boundaries of the patient. The estimation of 3D body surfaces, the determined patient isocenter, and the estimated body region boundaries may assist in planning a medical scan, including automatic patient positioning.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology. Accordingly, the embodiments herein disclose a method for handling a timer operation in a wireless communication system. The method includes receiving, by a UE, a signaling message from a base station. The signaling message includes an information about acquired COT of the base station. Further, the method includes indicating, by the UE, about the acquired COT to a MAC layer from a physical layer. The physical layer indicates one of the base station has acquired the COT for transmission and the base station has missed a transmission opportunity due to a LBT failure.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: The present disclosure relates to the field of security systems and discloses a tamper detection device. The device (100) comprises at least one transducer (106,110), a power supply unit (114), a logical gate (112), a processing unit (104), and, a tamper tag 102). The transducer (106,110) generates a trigger signal upon detection of a tamper event. The logical gate (112) is operable in an open state or a closed state. The processing unit (104) generates a tamper detection signal for changing the state of the logical gate (112) upon receiving the trigger signal or upon detecting loss of power supply from the power supply unit (114). The change in state of logical gate (112) causes a tamper flag value stored in the tamper tag (102) to change, thereby indicating a tampered status to a reader scanning the tamper tag (102). The device (100) detects a tamper event even if the device (100) is not damaged/broken during tampering.

Abstract: Described herein are systems and methods to manage blacklists and duplicate addresses in software defined networks (SDNs). In one implementation, a method includes, in a control plane and data plane of an SDN environment, obtaining a blacklist for a logical port in the SDN environment. The method further includes deleting realized address bindings in a realized address list for the logical port that match the one or more address bindings in the blacklist and preventing subsequent address bindings that match the one or more address bindings in the blacklist from being added to the realized address list.

Abstract: The current invention relates to a peritoneal dialysis filter device, which comprises a housing comprising a first port and a second port, and a hollow fibre membrane formed from hollow hydrophilic fibres within the housing. When in use, a dialysate from a subject enters the filter device through the first port and exits via the second port in an outflow direction, and a regenerated dialysate from a sorbent system enters the filter device through the second port and exits via the first port in an inflow direction. Also disclosed herein is a peritoneal dialysis system comprising said filter device, a method for controlling dialysate flow in a peritoneal dialysis system, and a haemodialysis device.