Abstract: Retrieval of material from vessel lumens can be improved by electrically enhancing attachment of the material to the removal device. The removal device can have a core assembly that includes a hypotube coupled to a first electrical terminal and a pushwire coupled to a second electrical terminal, the pushwire extending through the hypotube lumen. An insulating layer separates the hypotube and the pushwire, and an interventional element is coupled to a distal end of the pushwire. The interventional element can be disposed adjacent to a thrombus. An electrical signal is delivered to the interventional element to promote adhesion of the thrombus to the interventional element. The electrical signal can optionally be a periodic waveform, and the total energy delivered can be between 0.75-24,000 mJ and the peak current delivered via the electrical signal can be between 0.5-5 mA.

Abstract: A method for evaluating gastric and upper small intestine motility and emptying in a gastrointestinal tract of a subject using magnetic resonance imaging includes administering a contrast agent to the subject; acquiring, using an MRI system, a set of MR data from the subject using a three-dimensional volumetric pulse sequence. The volumetric pulse sequence has a temporal resolution and a spatial resolution configured to facilitate measurement of volumetric and motility parameters. The method further includes reconstructing a set of images using the set of MR data, segmenting each image in the set of images to isolate a region of interest in the gastrointestinal tract of the subject, determining at least one volumetric and motility parameter based on the set of segmented images, and generating a report indicating the at least one volumetric or motility parameter.

Abstract: A system makes predictions using a machine learning model combined with a knowledge model. The system provides input data to a knowledge model and a machine learning based model. The machine learning based model is trained to make predictions based on input data. The system provides the outputs of the machine learning based model and the knowledge model to an ensemble model configured to combine results of the knowledge model and the machine learning based model. The system can be used for several applications. For example, the system may classify an input text based on a hierarchy of categories. The system may perform fault detection in time series data by identifying an anomaly data point and predicting whether the anomaly data point is a fault.

Abstract: A system makes predictions using a machine learning model combined with a knowledge model. The system provides input data to a knowledge model and a machine learning based model. The machine learning based model is trained to make predictions based on input data. The system provides the outputs of the machine learning based model and the knowledge model to an ensemble model configured to combine results of the knowledge model and the machine learning based model. The system can be used for several applications. For example, the system may classify an input text based on a hierarchy of categories. The system may perform fault detection in time series data by identifying an anomaly data point and predicting whether the anomaly data point is a fault.

Abstract: A method of performing multidimensional magnetic resonance imaging on a subject comprises collecting imaging data for a region of interest of the subject, the imaging data related to one or more spatially-varying parameters of the subject within the region of interest; collecting auxiliary data for the region of interest in the subject, the auxiliary data related to one or more time-varying parameters of the subject within the region of interest; linking the imaging data and the auxiliary data; and constructing an image tensor with one or more temporal dimensions based on at least a portion of the linked imaging data and at least a portion of the linked auxiliary data.

Abstract: A system makes predictions using a machine learning model combined with a knowledge model. The system provides input data to a knowledge model and a machine learning based model. The machine learning based model is trained to make predictions based on input data. The system provides the outputs of the machine learning based model and the knowledge model to an ensemble model configured to combine results of the knowledge model and the machine learning based model. The system can be used for several applications. For example, the system may classify an input text based on a hierarchy of categories. The system may perform fault detection in time series data by identifying an anomaly data point and predicting whether the anomaly data point is a fault.

Abstract: An anomaly detection method for detecting an anomaly in an in-vehicle network of an in-vehicle network system including a plurality of electronic control units that transmit and receive messages via the network includes: generating image data of a reception interval between a plurality of messages included in a message sequence in a predetermined period out of a message sequence received from the in-vehicle network, or image data of a transition of a sensor value of the plurality of messages; classifying the image data using a trained CNN according to whether an attack message has been inserted in the predetermined period; and when the attack message has been inserted in the predetermined period, outputting a detection result indicating that an insertion attack which is an insertion of the attack message has been made in the predetermined period.

Abstract: A system and method directs promotional information, such as coupons of possible interest to a user, when they release their cloud-stored print job from a multifunction peripheral at their selected location. The user is identified, along with their location, and promotional information of possible relevance to the user is displayed on the multifunction peripheral touchscreen. Information selected by the user will be printed out along with their released print job. Businesses register and store their promotional information with the cloud print server, and may be assessed a fee when their literature is printed.

Abstract: A multifunction peripheral (MFP) includes user selectable functions that call home applications on the device that direct it to work cooperatively with cloud service providers. To avoid requiring users to login to each cloud service each time they use it, they are registered with an authorization server to establish and grant identity and authorization tokens. When a user logs in to an MFP, they are redirected to login to the authorization server which then sends tokens to the MFP identifying the user and their permissions and licenses. Home applications associated by the tokens are displayed for selection. Each time a home application using a cloud service is selected, a background application sends the user's session tokens with a service request to an associated cloud service resource server. The resource servers processes authenticated requests and return the result to the MFP which completes the selected home application function.

Abstract: A system and method for tracking multifunction peripheral device user satisfaction captures user images and audio during device operation. User characteristics such as gestures, posture, spoke words or facial expressions are used in conjunction with device status information to determine whether the user is satisfied with the device. If not, remedial action is initiated, such as launching a virtual assistant on the multifunction peripheral touchscreen or summoning of a human assistant.

Abstract: A system and method for tracking multifunction peripheral device user satisfaction captures user images and audio during device operation. User characteristics such as gestures, posture, spoke words or facial expressions are used in conjunction with device status information to determine whether the user is satisfied with the device. If not, remedial action is initiated, such as launching a virtual assistant on the multifunction peripheral touchscreen or summoning of a human assistant.

Abstract: A system and method for managing print services between multifunction peripherals and a print server includes a connector server. The connector server subscribes to event notifications from each multifunction peripheral through two or more network adapters. Events are relayed from the connector server to the print server, irrespective as to which network adapter receives them. The connector server also relays web content between the multifunction peripheral and the print server.

Abstract: A system and method for employee retention includes determining an employee's happiness level by analysis of their attire from a captured image. Image capture and employee identification is commenced when an employee uses their employer ID to enter a work premises. Captured images are analyzed for attire content. Attire content is categorized and analyzed relative to other fashion images to gage an employee's likes or dislikes, along with their happiness level. Remedial suggestions are generated when a happiness level falls below a set threshold level. Remedial suggestions may include gifts personal to an employee as determined from their attire. Captured images and web data are subject to artificial intelligence and machine learning to continuously improve analysis and recommendations.

Abstract: A system and method for managing print services between multifunction peripherals and a print server includes a connector server. The connector server subscribes to event notifications from each multifunction peripheral through two or more network adapters. Events are relayed from the connector server to the print server, irrespective as to which network adapter receives them. The connector server also relays web content between the multifunction peripheral and the print server.

Abstract: The present disclosure describes methods and systems for use in the production of adeno-associated virus (AAV) particles, including recombinant adeno-associated virus (rAAV) particles. In certain embodiments, the production process and system use Spodoptera frugiperda insect cells (such as Sf9 or Sf21) as viral production cells. In certain embodiments, the production process and system use Baculoviral Expression Vectors (BEVs) in the production of AAV particles. In certain embodiments, the production process and system allow for the controlled expression of AAV capsid proteins, such as VP1, VP2 and VP3.

Abstract: A hybrid coupler for dividing an input electrical signal to produce first and second output electrical signals which are substantially out of phase, the hybrid coupler including an input port for receiving the input electrical signal, and an input line for coupling the input electrical signal to a slotline. The hybrid coupler further includes an output line for coupling the first and second output electrical signals to a first output port and a second output port, respectively. The output line has a junction with the slotline. The hybrid coupler further includes a co-planar waveguide electrically connected to said output line and having a first end and an opposing second end, and defining, at the second end, a sum port configured to divert common mode signals received at said first and second output ports to said second end. The slotline transitions into the first end of the co-planar waveguide.

Abstract: A method for evaluating gastric and upper small intestine motility and emptying in a gastrointestinal tract of a subject using magnetic resonance imaging includes administering a contrast agent to the subject; acquiring, using an MRI system, a set of MR data from the subject using a three-dimensional volumetric pulse sequence. The volumetric pulse sequence has a temporal resolution and a spatial resolution configured to facilitate measurement of volumetric and motility parameters. The method further includes reconstructing a set of images using the set of MR data, segmenting each image in the set of images to isolate a region of interest in the gastrointestinal tract of the subject, determining at least one volumetric and motility parameter based on the set of segmented images, and generating a report indicating the at least one volumetric or motility parameter.

Abstract: A system and method for generating a customized shopping assistant map on a smartphone or tablet is generated in accordance with a retail consumer's identity determined from facial recognition. Information from content and timing of a customer's prior product purchases is analyzed via application of machine learning, and the consumer's shopping patterns are established. When the consumer enters a retail location, their face is recognized and frequently purchased products and their location at the current store is generated on their device, along with information including relevant coupons or on-sale items.

Abstract: A method of performing multidimensional magnetic resonance imaging on a subject comprises collecting imaging data for a region of interest of the subject, the imaging data related to one or more spatially-varying parameters of the subject within the region of interest; collecting auxiliary data for the region of interest in the subject, the auxiliary data related to one or more time-varying parameters of the subject within the region of interest; linking the imaging data and the auxiliary data; and constructing an image tensor with one or more temporal dimensions based on at least a portion of the linked imaging data and at least a portion of the linked auxiliary data.