Abstract: Seal for a vacuum valve comprising a circular base element, wherein the base element has a non-circular cross-section having an outer side extending in an axial direction and an inner side extending radially such that the inner side of the seal can be clampingly fixed in a sealing element of a valve. Further, the present invention relates to a sealing element, such a seal and a valve with such a sealing element.

Abstract: A tubing assembly for use with a patient interface device includes a manifold portion structured to be coupled to a conduit carrying a flow of breathing gas and a number of tubular portions. Each tubular portion extends from the manifold portion to a distal end which is structured to be coupled to the patient interface device. Each tubular portion is structured to communicate the flow of breathing gas from the manifold portion to the patient interface device. Each tubular portion comprises an adjustment element which provides for a characteristic of the tubular portion to be selectively varied.

Abstract: A method for utilizing a master table is provided. The method includes: receiving a subscription table that includes at least one subscription record of at least one subscription that, upon satisfaction of at least one condition of the subscription(s), provides, to a subscriber, a notification of the at least one condition; generating the master table; and generating a mapping table that maps fields of the subscription table to fields of the master table. The master table consolidates each subscription record and stores, as a string value, each of the at least one condition.

Abstract: A mobile computer application may (1) access a financial institution mobile application to determine if there is an account that is eligible for provisioning to the mobile computer application; (2) initiate a secure session with the financial institution backend in response to a determination that there is an account eligible for provisioning to the mobile computer application; (3) request an identification of an account that is eligible for provisioning to the mobile computer application from the financial institution backend; (4) receive a pointer to an account that is eligible for provisioning to the mobile computer application from the financial institution backend; (5) display an icon for the eligible account; (6) receive a selection of the icon; (7) return the pointer to the financial institution backend; (8) receive a provisioning payload for the eligible account from the financial institution backend; and (9) initiate in-application provisioning of the eligible account.

Abstract: Systems and methods are described herein for novel uses and/or improvements for predicting, using machine learning models, a process for a user based on function execution. An indication of completion of a predetermined application function associated with a user may be detected and a plurality of stored parameters associated with the user may be identified. The predetermined application function and the parameters may be input into a machine learning model to determine/obtain a process prediction for the user. The process may include a number of functions that may be sent to a user device for execution.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for automated prototyping of a topic model. An example method includes a data manipulation engine ingesting and pre-processing source data from a set of data sources, a feature extraction engine that thereafter transforms the pre-processed data into a set of numeric representations of the pre-processed data, and an autonomous model generator that automatically generates a trained topic model using the set of numeric representations. Embodiments further enable visualization of topic model output, which permits a user to easily consume and utilize information from a topic model for any number of purposes.

Abstract: A system and method for performing image processing. The method includes receiving an image of a first modality and a real image of a second modality, the image of the first modality and the image of the second modality capturing respective images of a same subject, applying a first trained model to the image of the first modality to generate an artificial image mimicking the image of the second modality, applying a second trained model to the artificial image mimicking the image of the second modality and data of the image of the first modality, and outputting at least one conclusion regarding the generated artificial image.

Abstract: The invention relates to a regions identifying apparatus (1) for identifying regions in an image like a computed tomography image showing a brain. A model providing unit (6) provides a three-dimensional model of a head of a living being, wherein the three-dimensional model includes Alberta Stroke Program Early CT Score (ASPECTS) regions of a brain, and a regions identifying unit (7) identifies ASPECTS regions in the three-dimensional image by applying the three-dimensional model to the three-dimensional image. This allows for an accurate, automatic identification of the ASPECTS regions independently of the orientation of the head in an imaging system, independently of an image slice thickness and also independently of a respective user like a physician. This leads to imaging an improved accuracy of determining the ASPECTS regions which allows for an improved quantification of ischemic changes in the brain after stroke. This in turn also allows for an improved treatment recommendation.

Abstract: A image guided motion scaled surgical robotic system (160) employs a surgical robotic arm (168) and an image guided motion scaled surgical controller (162). In operation, responsive to an input signal indicative of a user defined motion of the surgical robotic arm (168) within an anatomical region, the image guided motion scaled surgical controller (162) controls an actuated motion of the surgical robotic arm (168) within the anatomical region based on a map (164) of a motion scale delineated within an imaging of the anatomical region.

Abstract: A non-transitory computer readable medium (107, 127) stores instructions readable and executable by at least one electronic processor (101, 113) to perform a suspect device configuration detection method (200).

Abstract: A system includes a cassette including a bill storage component to retrievably store the plurality of bills, and a picker system to retrieve one or more bills stored in the bill storage component. The system further includes memory and one or more processors communicatively coupled to the cassette, the memory having instructions that, when executed by the one or more processors, cause the one or more processors to generate a bill list comprising bill information for each bill of the plurality of bills stored by the bill storage component where the bill information includes a denomination and a storage position of each of the plurality of bills, receive a transaction request, identify a storage position of a target bill from the bill list for dispensing based on the transaction request and a denomination of the target bill, and cause the picker system to retrieve the target bill for dispensing.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of determining network segmentation. The innovation can search a network to determine a set of network entities, the network entities belonging to the network, and determine network factors of each network entity in the set of network entities. The innovation can evaluate each network factor and determine segmentation candidates based on the evaluation of each network factor. The innovation can determine a risk ranking for each network factor for each network entity and aggregate each risk ranking into a segmentation score for each network entity. The innovation can determine a segmentation candidate when a network entity segmentation score satisfies a threshold score. The innovation can generate a sub-network that is part of the network for the segmentation candidate, and transfer the segmentation candidate to the sub-network.

Abstract: A system and computer-readable storage medium perform a method for contextual inferring capacity for triggering a financial transaction by monitoring, via user device(s), objective contextual data of location, temporal, and volitional transaction information associated with an authorized user of a financial system. Subjective contextual data of personal calendar events, physiological data, and pacing of user interactions with the user device(s) is monitored. The objective and subjective contextual data is analyzed to create scenario(s) correlated with performing a volitional transaction. If not predictive a volitional transaction, a layer of security protocol is added for authentication prior to executing the volitional transaction. In response to determining that the current context is predictive of a volitional transaction, a determination is made whether the subjective contextual data satisfies criterion for incapacity to perform a volitional transaction.

Abstract: In some aspects, the techniques described herein relate to a method including: providing a plurality of arrays, wherein each array of the plurality of arrays is related to a first array; receiving, by a lookup operation, a variable value, wherein the variable value is stored in the first array; determining a first index value of an array element of the first array, wherein the array element of the first array stores the variable value; determining, based on the first index value of the array element of the first array, a respective index value for each array in the plurality of arrays; returning, to a caller of the lookup operation, a respective value stored at a corresponding array element of each respective index value for each array in the plurality of arrays.

Abstract: A system and method for establishing secure communications based on combined capabilities of classical and quantum computers. A system can perform encrypting, responsive to a request for client data associated with a client device, the client data using a cryptographic key to generate an encrypted data packet, transmitting the encrypted data packet to a second classical computer simulating a quantum computer operation, the encrypted data packet causing the second classical computer to begin a decryption process on the encrypted data packet to recover a decrypted data packet determining an absence of a response from the second classical computer occurring within a predefined window of time, the response comprising the decrypted data packet and transmitting, responsive to the absence of the response, the encrypted data packet to a quantum computer, the encrypted data packet causing the quantum computer to decrypt the encrypted data packet to recover a decrypted data packet.

Abstract: A device is provided for detecting critical stations in a multi-station scan. The device includes an input unit, a processing unit, and an output unit. The input unit is configured to receive image data taken from a patient lying on a table before start of a diagnostic scan with a magnetic resonance imaging system. The processing unit is configured to analyze the image data of the patient to identify a spatial location of the lungs of the patient to align the spatial location of the lungs of the patient with a planned multi-station scan to identify the critical stations that are potentially affected by a respiratory motion of the patient, and to assign breath-hold to the identified critical stations. The output unit is configured to provide the identified critical stations. Thus, the selection of critical stations can be automatically and consistently satisfied without operator intervention.

Abstract: An apparatus for providing patient selection and treatment guidance for ablation treatments, in particular renal denervation treatment, is provided which is adapted to derive, from two time series of diagnostic images indicative of two states of the patient, two dynamics measures in order to determine at least one index indicative of the relative difference between the first state and the second state. Based on the at least one index, it is possible to track the progression of the ablation treatment and determine if it has been completed. Further, the index may be used to select likely responders to the ablation treatment.

Abstract: Embodiments herein describe methods, devices, and systems for reducing an electric field at a clamp-reticle interface using an enhanced electrostatic clamp. In particular, the electrostatic clamp includes a clamp body, an electrode layer disposed on a top surface of the clamp body, and a plurality of burls that project from a bottom surface of the clamp body, wherein the electrode layer comprises a plurality of cutouts at predetermined locations that vertically correspond to locations of the plurality of burls at the bottom surface of the clamp body.

Abstract: This disclosure describes techniques in which an artificially intelligent system includes a progressive machine learning model. In some examples, a system includes both a static and progressive model, each trained to make predictions or other assessments through machine learning techniques. The progressive model may be progressively updated, modified, and/or improved through additional training data or training examples, which may be derived from a local source and/or from one or more remote sources that may be chosen by a qualifier. The qualifier may be a human decision-maker that chooses, selects, and/or evaluates potential data or new training examples for use in updating the progressive model. The qualifier may, in other examples, be an artificially intelligent system trained to perform the functions of the qualifier.