Abstract: A cardiac treatment device, including: stimulation circuitry configured to generate a non-excitatory electrical signal which, when applied to ventricular tissue during a ventricular refractory period thereof improves a condition of heart failure in human patients; atrial arrhythmia detection circuitry; and decision circuitry which controls the stimulation circuitry to delivery said signal, also when said atrial arrhythmia detection circuitry detects an atrial arrhythmia.

Abstract: A method for the magnetic pulse soldering of an item having a stack of sheets consisting of a metal material. At least one hole through a thickness of the stack is formed. The first and second plates, both consisting of a metal material, are arranged on either side of the stack. A covering area covering at least one through-hole is formed. The plates-stack assembly is positioned opposite an active part of a coil such that a working area of the covering area faces the active part of the coil and the working area covering at least one hole. The working area is subjected to a magnetic field until the assembly is joined. While the working area is subjected to the magnetic field, pressure is exerted on the first plate, in the region of at least one hole, pressing the first plate against the second plate.

Abstract: A system for cardiac electrical stimulation treatment, comprising: an implantable pulse generator; one or more leads extending from the pulse generator to the heart for applying cardiac electrical stimulation; a controller programmed with at least one treatment plan for applying cardiac electrical stimulations, the controller configured to automatically update the treatment plan in response to actual cardiac activity by updating one or more parameters including: a time period during which cardiac electrical stimulations are applied; a rate of cardiac electrical stimulations; an amount of energy delivered at each cardiac electrical stimulation.

Abstract: In one implementation, a method for automatically generating a security policy for a controller includes receiving, by a security policy generation system and from a controller development environment, code for a device controller; selecting middleware that enforces a security policy; analyzing the code for the device controller; based at least in part on the analyzing, automatically generating the security policy; and providing the selected middleware along with the generated security policy.

Abstract: A system to detect an abnormally permissive role definition, which can include an abnormally permissive custom role definition, and take action is described. The system receives a role definition for a security principal over a scope of resources in which the role definition includes a built-in role and a custom role. Permissions of the role definition and a creation event of the role definition are analyzed. A security score based on the role definition and creation event for the scope of resources is determined. An action is taken based on the security score and the creation event analysis.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to determine that an entity was granted an anomalous role assignment to a managed environment. The processor may also, based on the determination that the role assignment of the entity is anomalous, identify at least one indicator associated with the role assignment, determine an indicator value corresponding to the identified at least one indicator, and determine whether the indicator value exceeds a predefined threshold value. The processor may, based on a determination that the indicator value exceeds the predefined threshold value, output an alert indicating that the role assignment is suspicious.

Abstract: A therapeutic substance delivery apparatus includes a housing, a reservoir for holding a therapeutic substance disposed at least partially within the housing, a position sensor having at least three states, a plunger which is slidable within the reservoir, and a plunger-sensor engagement interface coupled to the plunger within the reservoir and extending from within the reservoir to outside of the reservoir. The plunger and the position sensor are arranged such that the plunger-sensor engagement interface causes the position sensor to change states as the plunger slides within the reservoir. Control circuitry identifies a new state indication of the apparatus based on (a) a change in state of the position sensor, or (b) a previous or current state of the apparatus in combination with a threshold amount of time having elapsed without the position sensor changing state. Other applications are also described.

Abstract: The present invention relates to an RFID tagged and identified cookware in robotic or automated cooking system for identification of each one of the cooking vessels throughout the variety of stages of the cooking processes or meal preparation processes in automated or robotic cooking apparatus through an integrated RFID tag.

Abstract: A station constituted of: a control circuit; a bidirectional interface coupling to an AC grid; one of a load and an arrangement for coupling to a load, the load presenting a time varying electrical energy consumption to the station; and a plurality of flywheel based electrical storage units coupled to the bidirectional interface, wherein the control circuit is arranged to: in the event that the power drawn by the station is less than a first threshold value, and the plurality of flywheel based electrical storage units are not fully charged, charge at least one of the plurality of flywheel based electrical storage units; and in the event that the power drawn by the station is greater than a second threshold value, and the plurality of flywheel based electrical storage units are not fully discharged, provide electrical energy from at least one of the plurality of flywheel based electrical storage units.

Abstract: A system and method for generating a quality parameter value of a semiconductor device wafer (SDW), during fabrication thereof, the method including designating a plurality of measurement site sets (MSSs) on the SDW, each of the MSSs including a first measurement-orientation site (FMS) and a second measurement-orientation site (SMS), the FMS and the SMS being different measurement sites on the SDW, generating a first measurement-orientation quality parameter dataset (FMQPD) by measuring features formed within each the FMS of at least one of the MSSs in a first measurement orientation, generating a second measurement-orientation quality parameter dataset (SMQPD) by measuring features formed within each the SMS of the at least one of the MSSs in a second measurement orientation and generating at least one tool-induced-shift (TIS)-ameliorated quality parameter value (TAQPV), at least partially based on the FMQPD and the SMQPD.

Abstract: A computer-implemented method and system are provided to utilize machine learning technology to process user financial transaction data to predict a personalized payment screen architecture. A plurality of feature datasets associated with transaction data of a plurality of electronic invoices are obtained by a computing device. Each feature dataset comprises a plurality of features, a payment screen and a payment method configured to be presented on at least one payment screen. The computing device is configured to train a machine learning model with the feature datasets to produce a probability matrix with probabilities of each payment method used to pay the invoices through each payment screen. The computing device may weigh the probability matrix to generate a recommendation matrix and determine a prediction of a payment screen based on the recommendation matrix.

Abstract: In one implementation, a method for providing end-to-end communication security for a controller area network (CANbus) in an automotive vehicle across which a plurality of electronic control units (ECU) communicate is described. Such an automotive vehicle can include, for example, a car or truck with multiple different ECUs that are each configured to control various aspects of the vehicle's operation, such as an infotainment system, a navigation system, various engine control systems, and/or others.

Abstract: Methods and systems for position determination are described for using an intrabody probe having a plurality of electrodes to generate a plurality of different electrical fields, and to also measure, using the plurality of electrodes, a measurement set (a Ve-e measurement set) comprising a plurality of measurements of the plurality of different electrical fields while the probe remains in one position. From the Ve-e measurement set, spatial position coordinates for the intrabody probe are estimated within an intrabody coordinate system, using an established mapping between previously observed Ve-e measurement sets and positions in the intrabody coordinate system. Systems and methods for generating and selecting such mappings are also described.

Abstract: In some embodiments, a body cavity shape of a subject is reconstructed based on intrabody measurements of at least one property of an electromagnetic field by an intrabody probe (for example, a catheter probe) moving within a plurality of electrical fields intersecting the body cavity. In some embodiments, the electrical fields are generated at least in part from electrodes positioned in close proximity, for example, within 1 cm, of the body cavity. In some embodiments, the body cavity is a chamber of a heart (for example, a left atrium or left ventricle), and the electrodes used to generate the electrical field are positioned in the coronary sinus, a large vein occupying the groove between the left atrium and left ventricle. In some embodiments, known distances between measuring electrodes are used in guiding reconstruction, potentially overcoming difficulties of reconstruction from measurements of non-linear electrical fields.

Abstract: Systems and methods of mitigating leakage of credentials of a user of a computer network, including monitoring at least one data source to scrape data that is compatible with credential data, applying a machine learning algorithm to the scraped data to identify at least one potential leaked credential, wherein the at least one potential leaked credential is identified using at least one neural network, authenticating the identified at least one potential leaked credential by a database of valid credentials of the computer network, and replacing credentials corresponding to the at least one leaked credential.

Abstract: Devices are provided with an internal dimension that can be reduced and increased in vivo. In one example, an interatrial shunt for placement at an atrial septum of a patient's heart includes a body. The body includes first and second regions coupled in fluid communication by a neck region. The body includes a shape-memory material. The body defines a passageway through the neck region for blood to flow between a first atrium and a second atrium. The first and second regions are superelastic at body temperature, and the neck region is malleable at body temperature. A flow area of the passageway through the neck region may be adjusted in vivo.

Abstract: The present disclosure describes automated generation of early warning predictive insights derived from contextual analysis of user activity data of a distributed software platform. Predictive insights are automatically generated from analysis of user activity through implementation of trained artificial intelligence (AI) modeling. User activity data is accessed pertaining to user interactions by a plurality of users a software data platform. The trained AI modeling generates a plurality of mobility determinations that identify changes in patterns of user behavior over a current temporal filter associated with the user activity data. The plurality of mobility determinations is curated using business logic rules that evaluate a relevance of the mobility determinations. One or more predictive insights may be generated and presented via a graphical user interface notification.

Abstract: Disclosed herein is a method comprising using at least one hardware processor for obtaining raw data relating to at least one predetermined field of study, obtaining at least one term, generating at least a first entity and a second entity from said raw data according to said at least one term, implementing a predetermined function to determine a relationship between said first and second entities, generating a layer aligning said first and second entities according to the relationship between said first and second entities, and constructing a model of data-interactions according to said at least one interactive map layer.

Abstract: Embodiments may determine user intent in conversations with dialogue systems so as to improve the quality of such conversations and to reduce the number of failed conversations. For example, a method may comprise receiving, at a dialogue system, a first text utterance from a user, generating a plurality of second text utterances at the dialogue system in response to the received text utterance, generating a third text utterance based on each generated second text utterance using a trained deep neural network model, generating a score indicating a quality of each conversation, wherein each conversation includes the first text utterance, one of the second text utterances, and the third text utterance based on the one of the second text utterances, and outputting to the user the second text utterance included in the conversation having the highest quality score.

Abstract: Systems and methods are provided for treating a condition associated with a Parkinson's disease (PD) subject, for example for treating or ameliorating motor and/or nonmotor symptoms or disorders in Parkinson's disease patients. An example system may include a sleep sensing circuitry and a drug dispensing device. The sleep sensing circuitry may be used to detect a sleep pattern of a PD patient, and the drug dispensing device may be used to continuously deliver a therapeutically effective compound to the PD patient based on the sleep pattern. Operational parameters of the drug delivery device (e.g., drug delivery flow rate and drug delivery timing) may be pre-programmed prior to bedtime and/or be adjusted in real time, for example during sleep, based on the detected sleep pattern to treat a condition associated with the PD subject, for example to optimize sleep, improve sleep quality, ameliorate non-motor disorders in the treated PD patient, etc.