Abstract: Disclosed are compounds of Formula 1, N-oxides of the compounds and salts of the compounds and N-oxides: wherein R1, R2, R3, R4, R5, R6, Q1, Q2, J, Y1, and Y2 are as defined in the disclosure. Also disclosed are compositions containing the compounds, N-oxides and salts, and methods for controlling undesired vegetation comprising contacting the undesired vegetation or its environment with an effective amount of such a compound, N-oxide, salt or composition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for harmonizing diffusion tensor images. One of the methods includes obtaining a diffusion tensor image; determining a set of RISH features for the diffusion tensor image; processing a model input generated from the set of RISH features using a machine learning model to generate a model output identifying an image transformation from a set of image transformations, wherein each image transformation in the set of image transformations corresponds to a respective different first MRI scanner and represents a transformation that, when applied to first diffusion tensor images captured by the first MRI scanner, harmonizes the first diffusion tensor images with second diffusion tensor images captured by a reference MRI scanner; and processing the diffusion tensor image using the identified image transformation to generate a harmonized diffusion tensor image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a mental health prediction for a patient using a centrality ranking of the brain of the patient. One of the methods includes obtaining brain data of a patient, wherein the brain data comprises, for each of a plurality of pairs of parcellations formed from a set of parcellations where each pair comprises a first parcellation and a second parcellation, data characterizing a number of tracts connecting the first parcellation and the second parcellation; determining a network graph from the brain data; generating, for each of a plurality of nodes in the network graph, a measure of centrality of the node; determining a centrality ranking of the plurality of nodes of the network graph according to the respective measures of centrality; generating a mental health prediction for the patient using the determined centrality ranking.

Abstract: Methods and systems are described that enable radar detection prioritization based on downstream feedback. As a vehicle is traveling in a travel corridor, radar detections are received by a processor and feedback related to a downstream function is received from another processor that is executing the downstream function. For the radar detections that are determined to be within the travel corridor, respective priorities are assigned based on locations of the radar detections and the feedback related to the downstream function. The radar detections with the assigned priorities are then stored in a detection buffer along with indications of their respective assigned priorities. In this way, the detection buffer may be optimized for the downstream function by filtering out certain detections and prioritizing others. Consequently, computational loads on the downstream function are reduced while ensuring that important detections are received by the downstream function early.

Abstract: A pre-event connectome of a subject brain is accessed, the pre-event connectome defining i) first functional nodes in the subject brain and ii) first edges that represent connections between the first functional nodes before the subject has undergone an event. A post-event connectome of the subject brain is accessed, the post-event connectome defining i) second functional nodes in the subject brain and ii) second edges that represent connections between the second functional nodes after the subject has undergone the event. A connectome-difference map data is generated that records the difference between the pre-event connectome and the post-event connectome. An action is taken based on the connectome-difference map data.

Abstract: A method for real-time invoice updating and account-to-account payment includes: receiving invoice data based on presentation of an invoice by a distributor to a recipient at a delivery location, modification of the invoice by the recipient, and acceptance of the invoice by the recipient; generating a request for payment (RFP) message based on the invoice data; transmitting the RFP message to a financial institution associated with the recipient via a financial institution of the distributor; receiving, from the financial institution associated with the distributor, a payment confirmation for the invoice based on a real-time payment from the financial institution associated with the recipient; generating reconciliation data based on the payment confirmation and the invoice data; and transmitting the reconciliation data to a computing device of the distributor and a computing device of the recipient.

Abstract: Techniques are described for learning an unknown virtual network information, such as an virtual Internet Protocol (IP) address, of a pod in a virtual network. In some examples, a virtual router executing at a computing device may receive an Address Resolution Protocol (ARP) packet from a virtual execution element in the virtual network, the virtual execution element executing at the computing device. The virtual router may determine, based at least in part on the ARP packet, whether virtual network information for the virtual execution element in a virtual network is known to the virtual router. The virtual router may, in response to determining that the virtual network information of the virtual execution element in the virtual network is not known to the virtual router, perform learning of the virtual network information for the virtual execution element.

Abstract: A system includes: an engine; and an aftertreatment system for treating exhaust gas produced by the engine, the aftertreatment system including: an exhaust conduit configured to receive the exhaust gas and hydrocarbons from the engine; a preheating oxidation catalyst; a primary oxidation catalyst disposed downstream of the preheating oxidation catalyst; a selective catalytic reduction system disposed in the exhaust conduit downstream of the primary oxidation catalyst. The aftertreatment system includes: a controller configured to: determine a temperature of the exhaust gas at an inlet of the selective catalytic reduction system, and in response to the temperature of the exhaust gas at the inlet of the selective catalytic reduction system being below a threshold temperature, cause the engine to provide the hydrocarbons to the exhaust conduit.

Abstract: This document describes vehicle localization using map and vision data. For example, this document describes a localization system that obtains a map centerline point and a vision centerline point of a lane of a roadway. The localization system also obtains the position of the vehicle. The localization system can then compare the map centerline point and the vision centerline point to generate a lateral and a longitudinal correction relative to the vehicle's position. The lateral and longitudinal corrections are used to generate a corrected position. In this way, the described localization system can provide accurate vehicle localization that addresses potential drift caused by lapsed or inaccurate positioning data and allows for the operation of assisted-driving and autonomous-driving systems at higher speeds and on roadways with tighter curves.

Abstract: A system receives vehicle state data reported over a connection established with a vehicle and determines a loss of connection with the vehicle. Responsive to the loss of connection, the system performs an analysis of a plurality of predefined causes of incidental connection loss, based on vehicle state data previously reported compared to predefined values indicative of causing a lost connection. Responsive to the analysis indicating no predefined cause of incidental connection loss being present, the system triggers a vehicle alarm state protocol.

Abstract: Methods, systems, and computer programs encoded on computer storage media, for selecting a model out of a number of models based on subject characteristics. One of the methods includes obtaining present subject connectivity matrix data for a present subject, obtaining present subject data describing the present subject where the present subject data is different from the present subject connectivity matrix data, determining a specific model to apply to the present subject connectivity matrix data based at least in part on the present subject data, determining the specific model using a model trained with fMRI data for brains of a plurality of past subjects and past subject data describing the past subjects, applying the specific model to identify a potential present subject brain condition based at least in part on the present subject connectivity matrix data, and taking an action based on identification of a potential present subject brain condition.

Abstract: The present invention provides engineered penicillin G acylase (PGA) enzymes, polynucleotides encoding the enzymes, compositions comprising the enzymes, and methods of using the engineered PGA enzymes.

Abstract: Disclosed herein are systems and methods for providing interactive graphical user interfaces (GUIs) for users, such as medical professionals, to glean insight about connectivity data associated with a particular brain. A method can include overlaying nodes representing locations of parcels of a patient's brain on a representation of a brain and displaying the representation of the brain with the overlaid nodes in a GUI. Nodes having connectivity above a first threshold can be represented in a first indicia and nodes having connectivity below a second threshold can be represented in a second indicia. The method can include receiving user input and taking an action based on the user input. The user input can include selecting an area of the representation of the brain for excision. Taking an action based on the input can include calculating an impact of excising the area of the brain on the particular patient.

Abstract: A method for real-time invoice updating and account-to-account payment includes: receiving invoice data based on presentation of an invoice by a distributor to a recipient at a delivery location, modification of the invoice by the recipient, and acceptance of the invoice by the recipient; generating a request for payment (RFP) message based on the invoice data; transmitting the RFP message to a financial institution associated with the recipient via a financial institution of the distributor; receiving, from the financial institution associated with the distributor, a payment confirmation for the invoice based on a real-time payment from the financial institution associated with the recipient; generating reconciliation data based on the payment confirmation and the invoice data; and transmitting the reconciliation data to a computing device of the distributor and a computing device of the recipient.

Abstract: An apparatus includes a surge protection device, a current sensor configured to sense a current through the surge protection device, and a surge discriminator circuit coupled to the current sensor and configured to discriminate among a plurality of surge levels for the surge protective device responsive to the sensed current. The current sensor may include a current transformer configured to generate a secondary current responsive to the sensed current and the surge discriminator circuit may be configured to discriminate among a plurality of surge levels responsive to the generated secondary current.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing EEG source localization. One of the methods includes obtaining brain data comprising: EEG data comprising respective channel data corresponding to each of a plurality of electrodes of an EEG sensor, and fMRI data comprising respective voxel data corresponding to each of a plurality of voxels; identifying, in a three-dimensional coordinate system, a respective location for each electrode; generating, using the respective identified locations of each electrode, data representing a location in the three-dimensional coordinate system of each voxel; determining, for each electrode, a region of interest in the three-dimensional coordinate system; and identifying, for each electrode, one or more corresponding parcellations in the brain of the subject, wherein each parcellation that corresponds to an electrode at least partially overlaps with the region of interest of the electrode.

Abstract: An aftertreatment system for treating an exhaust gas comprises an exhaust conduit, a preheating oxidation catalyst, a primary oxidation catalyst disposed downstream of the preheating oxidation catalyst, and a selective catalytic reduction system disposed in the exhaust conduit downstream of the primary oxidation catalyst. A controller is configured to determine a temperature of an exhaust gas at an inlet of the selective catalytic reduction system. In response to the temperature being below a threshold temperature, the controller generates a hydrocarbon insertion signal configured to cause hydrocarbons to be inserted into or upstream of the preheating oxidation catalyst so as to increase a temperature of the exhaust gas to above the threshold temperature.

Abstract: The present invention provides engineered carboxyesterase enzymes having improved properties as compared to a naturally occurring wild-type carboxyesterase enzymes, as well as polynucleotides encoding the engineered carboxyesterase enzymes, host cells capable of expressing the engineered carboxyesterase enzymes, and methods of using the engineered carboxyesterase enzymes in hydrolysis reactions.

Abstract: Techniques are described for learning an unknown virtual network information, such as an virtual Internet Protocol (IP) address, of a pod in a virtual network. In some examples, a virtual router executing at a computing device may receive an Address Resolution Protocol (ARP) packet from a virtual execution element in the virtual network, the virtual execution element executing at the computing device. The virtual router may determine, based at least in part on the ARP packet, whether virtual network information for the virtual execution element in a virtual network is known to the virtual router. The virtual router may, in response to determining that the virtual network information of the virtual execution element in the virtual network is not known to the virtual router, perform learning of the virtual network information for the virtual execution element.

Abstract: An apparatus includes a plurality of surge protection devices (e.g., multiple metal oxide varistors connected in parallel) configured to be coupled to a power system, a plurality of mechanical actuators associated with respective ones of the surge protection devices and configured to indicate status of the associated surge protection devices, and a detector circuit configured to sense actuation of the actuators and responsively determine a protection status of the plurality of surge protection devices. The detector circuit may include a plurality of switches configured to be actuated by respective ones of the actuators. The detector circuit may further include a processor coupled to the plurality of switches and configured to determine states of switches and to determine the protection status based on the determined status of the switches. The processor may be configured to interpret the status of the switches based on a stored identifier.