Abstract: A vehicle connected to an insurance provider includes: a sensor configured to collect sensor information about the vehicle; a control center connected to the sensor and configured receive the sensor information from the sensor, to detect an event using the sensor information, wherein the event includes a classification, and to transmit the sensor information and an indication of the event to the insurance provider; a claims processing module connected to the control center and configured to generate, upon detection of the event, a claim with the insurance provider using the sensor information; and an indicator configured to indicate a classification of the sensor information.

Abstract: Embodiments of the present techniques provide a method for imaging specific brain fibre tracts, using an image of a subject's brain and an atlas indicating an expected location and orientation of the brain fibre tract. Advantageously, the present techniques enable brain fibre tracts to be imaged/visualised quickly, which makes it suitable for pre-surgical planning, surgical navigation, and intra-operative imaging.

Abstract: A method of building a machine learning pipeline for predicting the efficacy of anti-epilepsy drug treatment regimens is provided.

Abstract: A water treatment system is provided, including a raw water tank connected to a water supply, a reverse osmosis unit arranged to produce purified water from water input from the raw water tank via a raw water supply line, at least one water treatment facility alongside the raw water supply line downstream of the raw water tank and upstream of the reverse osmosis unit, and a reuse water feedback line arranged to feed waste water and/or grey water collected from the reverse osmosis unit and/or the at least one water treatment facility back to the raw water tank for reuse. In a water treatment method in such a water treatment system, waste water and/or grey water collected from the reverse osmosis unit and/or the at least one water treatment facility is fed back to the raw water tank for reuse.

Abstract: Systems and methods are provided for manipulating objects in a framework software application that embeds another software application that does not natively support object manipulation controls of the framework software application. To overcome this difficulty, a user interface of the embedded software application is provided in an embedded window disposed within a framework window. Moreover, the user interface of the framework software application is provided in the framework window. Next, a transparent interface element, configured to detect events generated by the object manipulation controls of the framework software application, is generated, and is positioned over the embedded window.

Abstract: Systems and methods are provided for manipulating objects in a framework software application that embeds another software application that does not natively support object manipulation controls of the framework software application. To overcome this difficulty, a user interface of the embedded software application is provided in an embedded window disposed within a framework window. Moreover, the user interface of the framework software application is provided in the framework window. Next, a transparent interface element, configured to detect events generated by the object manipulation controls of the framework software application, is generated, and is positioned over the embedded window.

Abstract: A water treatment system is provided, including a raw water tank connected to a water supply, a reverse osmosis unit arranged to produce purified water from water input from the raw water tank via a raw water supply line, at least one water treatment facility alongside the raw water supply line downstream of the raw water tank and upstream of the reverse osmosis unit, and a reuse water feedback line arranged to feed waste water and/or grey water collected from the reverse osmosis unit and/or the at least one water treatment facility back to the raw water tank for reuse. In a water treatment method in such a water treatment system, waste water and/or grey water collected from the reverse osmosis unit and/or the at least one water treatment facility is fed back to the raw water tank for reuse.

Abstract: A method of building a machine learning pipeline for predicting the efficacy of anti-epilepsy drug treatment regimens is provided.

Abstract: A method of building a machine learning pipeline for predicting refractoriness of epilepsy patients is provided. The method includes providing electronic health records data; constructing a patient cohort from the electronic health records data by selecting patients based on failure of at least one anti-epilepsy drug; constructing a set features found in or derived from the electronic health records data; electronically processing the patient cohort to identify a subset of the features that are predictive for refractoriness for inclusion in a predictive model configured for classifying patients as refractory or non-refractory; and training the predictive computerized model to classify the patients having at least one anti-epilepsy drug failure based on likelihood of becoming refractory.

Abstract: A method is provided, including: processing requests from a plurality of users to join a group event, the group event defined for an activity metric for each of the plurality of users for a period of time; analyzing the activity metrics of the plurality of users to determine a ranking of the plurality of users based on their activity metrics, and to identify a change in relationship between activity metrics of two or more of the plurality of users; generating a message, wherein generating the message includes, identifying, based on the identified change in relationship, one or more user accounts of select ones of the plurality of users to receive the message, selecting a message template based on the identified change in relationship, and populating the message template to generate a message describing the change in relationship; sending the message to the one or more user accounts.

Abstract: A method is provided, including: processing requests from a plurality of users to join a group event, the group event defined for an activity metric for each of the plurality of users for a period of time; analyzing the activity metrics of the plurality of users to determine a ranking of the plurality of users based on their activity metrics, and to identify a change in relationship between activity metrics of two or more of the plurality of users; generating a message, wherein generating the message includes, identifying, based on the identified change in relationship, one or more user accounts of select ones of the plurality of users to receive the message, selecting a message template based on the identified change in relationship, and populating the message template to generate a message describing the change in relationship; sending the message to the one or more user accounts.

Abstract: An interactive computer system and method for recruiting potential employee candidates. A user interactive Graphical User Interface (GUI) is provided on a computering device connected to a network for tracking and storing an employee candidate lifecycle with a potential employer. The GUI is preferably configured and operational to provide interactive promotional materials regarding an employment opportunity with a potential employer and establish a first video conference between the candidate and at least one representative of the potential employer.

Abstract: New compounds and methods for the preparation of combinatorial libraries of potentially biologically active compounds are based on monosaccharides of formula I being a derivative of a furanose or pyranose form of a monosaccharide, .

Abstract: New compounds and methods for the preparation of combinatorial libraries of potentially biologically active compounds are based on monosaccharides of formula I being a derivative of a furanose or pyranose form of a monosaccharide,

Abstract: A system and method for efficiently detecting and correcting transmission errors in packet-based communications by using cumulative error detection codes. The system may comprise a transmitting unit, which transmits one or more data packets. Each of the transmitted packets may comprise a plurality of transmission subunits. The transmitting unit preferably generates a cumulative error detection code (e.g., cumulative CRC code) for each of the transmission subunits of a packet. The system may further comprise a receiving unit to receive each of the transmission subunits of the packet. The receiving unit preferably generates a new cumulative error detection code for each of the received transmission subunits. The new cumulative error detection code is compared to the received cumulative error detection code to determine if any errors occurred in the transmission of the transmission subunit.

Abstract: A system for optimizing performance and for maintaining wellness of an athlete, comprising: a smart card for receiving, storing, and transmitting data regarding one or more of heart rate, weight, age, and gender of an athlete and instructions from the athlete's trainer or the athlete's health club or both regarding exercise; a processor for processing data obtained from the smart card; a database with electronic fitness records for the a plurality of athletes, the database comprising data obtained from the smart card; and, access enabling the athlete's trainer, the athlete's health club or both to access the fitness records of all of the athletes that the trainer trains.