Abstract: A method is provided for dynamic rate limiting of user requests for a service implemented in a computer system. The method includes defining a standard rate limit as an active rate limit for a first user, receiving one or more requests from the first user defining a rate exceeding the active rate limit, and determining a maximum safe system rate for a system implementing the method. The method may then redefine the active rate limit as the lower of the maximum safe system rate and a previously defined burst rate limit associated with the first user. The system may then execute the one or more requests from the first user at or below the redefined active rate limit.

Abstract: A method of provisioning a network may include, with a network controller, identifying a first network intent of a computing network based at least in part on an execution of a user interface (UI) or API layer at a client device, and identifying a modification of at least one object within the first network intent within the UI or API layer at the client device as the first network intent is being modified. The modification defines a delta between the first network intent and a second network intent. The method may further include, with a provisioning service executed by the network controller, receiving the delta as a payload from the client device, and provisioning at least one computing device within the computing network based at least in part on the delta. The method further includes automatically modifying the at least one object based on the received delta, including a further modification of the second network intent.

Abstract: An apparatus and method for medical imaging uses a first and second contrast agent, the second agent targeted to a particular tissue type. First images are obtained using the first agent, and second images using the second agent using medical imaging systems. An image processing system is adapted to process the first and second medical images by fitting parameters of a pharmacokinetic model to the first medical images, identifying a nontargeted tissue type, scaling the fitted parameters to best match the nontargeted tissue in the second medical images, executing the pharmacokinetic model to prepare a correction image, and generating corrected medical images by subtracting the correction image from the second medical images.

Abstract: A system for maintaining a meta-database including meta-data representing decentralized data from source databases, which cause inefficient selection of modeling data and/or variables. Each of source and meta-data interfaces communicate with the respective database(s). A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from the source interface, compresses the data, and synchronizes the data with the meta-data using the meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: A gas delivery apparatus configured for use with a mechanical ventilator having an atmospheric inlet for drawing in atmospheric gas includes a connecting device configured to connect to an oxygen supply and an air supply and to deliver mixed air and oxygen gas to the atmospheric inlet of the mechanical ventilator. The connecting device further includes a user control for adjusting a fraction of oxygen in the mixed air and oxygen gas. The connecting device comprises a reservoir configured to hold a volume of the mixed air and oxygen gas.

Abstract: Systems, methods and software merge a Virtual World, Live Event and Entertainment Channel, thus creating “The Perfect Storm” of gaming and entertainment whereby the characters of a social network game (e.g., an online fantasy sports league) are represented by human beings who register to be avatars of characters supported by a “Character Service Center,” while players compete to bring avatars to life in a Real World event (e.g., a Real World sports league), where the human beings behind the avatars compete for prizes while staying in character, as these competitors and players are incentivized by a “Collaboration Incentive Platform.

Abstract: A serial communication system for communicating data over a Controller Area Network (CAN) bus comprises a security slave device located between a first system node and a Controller Area Network (CAN) bus. The system is characterised in that: said security slave device further comprises a tagging means for inserting data indicative of said first node into a Controller Area Network (CAN) frame received from said first node; said system further comprises a security master device, located between said Controller Area Network (CAN) bus and a second system node; said security master device further comprises a means of extracting said data indicative of first said node from a received data frame; and said system further comprises a means of checking the validity of received Controller Area Network (CAN) frame associated to said extracted data indicative of said first node.

Abstract: Systems and methods for using stratigraphic heat maps to steer a well being drilled. Data from one or more offset wells can be provided to a computer system and used with data from a well being drilled to generate one or more stratigraphic heat maps during the drilling of the subject well. The stratigraphic heat maps can be displayed and used to determine the location of the wellbore relative to one or more geological formations, including one or more target formations or within a target formation. Based on the use of the heat maps and the location of the wellbore relative to a target, the drill plan can be adjusted or updated and/or one or more drilling parameters or operations may be adjusted to drill the wellbore, such as to drill the wellbore to the target or to maximize the length of the wellbore within a target zone.

Abstract: A system and method is described for labelling data for trigger identification. The system and method comprising receiving data, transforming the data, extracting content from the data, processing data content through a classification machine learning model to receive a label, and trigger a secondary system based on the label. The system and method may further include maintaining a database of labeled data.

Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: A system for data collection in a commercial travel setting is described. The system includes a plurality of sensor circuits that collect a plurality of sensor data values from in-flight entertainment (IFE) network. The system includes a sensor data processor that interprets the plurality of sensor data values. The system includes a passenger profile management controller configured that filters the plurality of sensor data values by processing a plurality of passenger profiles that are related to at least some of the plurality of sensor data values. The system generates a measurement index that is normalized with respect to the plurality of sensor data values or the plurality of passenger profiles.

Abstract: In some examples, an apparatus can include a plunder comprising a cavity, a bezel comprising an aperture having a particular shape, a magnet located in the cavity of the plunger, and a magnetically actuated valve connected to the bezel, where in response to the plunger being moved by a key having a shape corresponding to the particular shape of the aperture of the bezel, the magnet is to cause the magnetically actuated valve to actuate.

Abstract: In one example, a double jointed hinge connects a blow molded plastic door and a blow molded plastic wall panel. The double jointed hinge includes a first hinge element that defines a first axis of rotation, and the first hinge element is connected to the blow molded plastic wall panel, a second hinge element that defines a second axis of rotation and is connected to the blow molded plastic door, and the second hinge element is spaced apart from the first hinge element, and a first link and a second link, the first link and the second link connecting the first hinge element to the second hinge element.

Abstract: The present invention relates to neutralizing antibodies of the human pituitary adenylate cyclase activating polypeptide type I receptor (PAC1) and pharmaceutical compositions comprising such antibodies. Methods of treating or preventing headache conditions, such as migraine and cluster headache, using the neutralizing antibodies are also described.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to predict a first predicted assessment score at a first instance and a second predicted assessment score at a second instance with respect to a second user. The computing system determines whether the first predicted assessment score is different from the second predicted assessment score, and whether a first data entry of the personal data set of the second user changed between the first instance and the second instance. The computing system takes or recommends an action corresponding to a reversal in the change in the first data entry in order to alter the predicted assessment score of the second user.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to generate a predicted assessment score with respect to a second user by correlating a personal data set of the second user to the personal data set of at least one of the first users, with the generating of the predicted assessment score occurring automatically when a data entry of the personal data set of the second user is determined to have changed by the computing system. The computing system is configured to report the automatically generated predicted assessment score to the second user via a user device of the second user.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to generate predicted survey data with respect to a second user by correlating a personal data set of the second user to the personal data set of at least one of the first users. The predicted survey data includes data regarding the predicted responses of the second user to a survey from which the survey data of each first user is derived, as well as one or more assessment scores calculated from the survey. The computing system is configured to take an action with respect to a user device of the second user in reaction to the generating of the predicted survey data regarding the second user.

Abstract: A computing system is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of a plurality of first users. The predictive model is configured to predict a predicted assessment score of a second user. A test personal data set is generated with at least one different data entry different from the personal data set utilized in predicting the predicted assessment score, the at least one different data entry corresponding to a change in relationship between the computing system and the second user. The predictive model predicts a test predicted assessment score of the second user based on the test personal data set. The computing system takes further action with respect to the second user when a difference between the predicted assessment score and the test predicted assessment score meets or exceeds a threshold value.

Abstract: An apparatus (2100), including: a hasp (2104) configured to retain a staple therein when in an engaged position (2106); an actuator (2110) that is biased toward a locking position (2112) configured to lock the hasp in the engaged position, where once the hasp is moved into the engaged position the actuator can reach the locking position; an actuator weight (2130) configured to move under the influence of gravity once the apparatus is tilted from an upright orientation by more than an actuator weight threshold amount and to disengage the actuator from the hasp upon reaching an unlocking position (2136) with sufficient force; and a time delay lock assembly (2150) configured to be initiated when the apparatus is tilted from the upright orientation by a time delay lock threshold amount of tilt and configured to prevent movement of the actuator weight only after an initiation and a time delay.