Abstract: In one embodiment, a device obtains transaction data regarding a user account of an application performing a transaction within the application to access a particular document. The transaction data is captured by instrumentation code inserted into the application at runtime. The device identifies, based on the transaction data, a data mining policy for the transaction. The device generates, based on the data mining policy, identification information associated with the user account and the particular document. The device inserts, via the instrumentation code, tracing data into the particular document that causes a client that opens the particular document to send a web request for a uniform resource locator (URL) associated with the identification information.

Abstract: Systems and methods for measuring skin tone. A camera and computer may measure skin tone health of a face dataset and color quality of a single face image. The computer and camera may measure skin tone across wide sample of volunteers, express skin tone in CIELCH coordinates; and identify the range of observed lightness, chromaticity, and hue values in the population to determine a sample set. The computer and camera may be configured to match the image to a coordinate system of lightness, chromaticity, and hue in the sample set. If a match is not possible, the computer may be configured to select a coordinate closest to the measured lightness, chromaticity, and hue.

Abstract: A medical supply cabinet includes a housing; a medical supply cabinet identifying radio frequency identification tag located on the housing; and a plurality of medical supply packages, each medical supply package containing a specific medical supply. Each medical supply package includes a discarded portion created when the medical supply package is opened. The discarded portion of the medical supply package includes a medical supply package radio frequency identification tag identifying the specific medical supply associated with the medical supply package.

Abstract: Methods and apparatuses are described for generating customized, context-specific visual artifacts using artificial intelligence (AI). A server computing device captures input data from one or more remote computing devices, the input data associated with one or more users. The server computing device creates one or more visual artifacts based upon the input data, each of the one or more visual artifacts associated with one or more of the users. The server computing device integrates the visual artifacts into a communication session associated with the remote computing devices.

Abstract: Aspects relate to systems and methods for providing information about a person's physiological signals to that person (and/or others) as they travel through various venues of their daily work and play life. Ubiquitous physiological feedback incentivizes the person to regulate their cognitive and/or emotional states to better perform various tasks. The feedback also provides them with practice opportunities throughout their day to further develop a psychophysiological self-regulation skill set. Obtaining pervasive physiological feedback throughout the environment may be achieved through the person's use and/or interaction with wearable or otherwise mobile physiological monitoring devices or systems and with other systems that may be embedded in environments through which the traveler visits during the course of their day. Such systems may experience functionality changes in response to an individual's physiological signals via biocybernetic adaptation.

Abstract: Methods and systems are described for estimating an optimal pupil binarization threshold using adaptive binarization thresholding. The disclosed methods and systems are designed to determine a pupil binarization threshold from a histogram of an eye image. An eye image is obtained and an eye image histogram is computed from the eye image. A pupil region and an iris region are identified in the eye image histogram and the second derivative of the eye image histogram is computed. The pupil binarization threshold is determined based on the second derivative of the eye image histogram, the identified pupil region and the identified iris region and then used to generate a binarized eye image. A pupil contour may be determined from the binarized eye image. The disclosed system may help to overcome challenges associated with robust and precise detection of a pupil contour, for example, in images of varying quality.

Abstract: Proposed is a system and method for measuring relative risk measurands of living individuals. The relative risk measurands provides a measure for the frequency of occurrences of specific medical events having impacting consequences in specified ranges to the living individual within a defined cohort of living individuals relative to a randomized cohort of living individuals. The system provides automation of the risk assessment and measuring process with a high efficiency and accuracy.

Abstract: Embodiments of the present invention are directed to analyzing recorded game information to determine information about a player's behavior. This is accomplished by analyzing the player's actions following a positive increase in credits within credit meter data. This analysis can be utilized in automatically altering a game parameter of the gaming device being played by the player or in providing operators trend information that can be used in modifying the game device or designing future gaming devices. An analysis station may be included in a gaming system using this analysis process to allow an operator to view and manipulate a graphical representation of the credit meter data.

Abstract: A system and method for enhancing a database to thereby determine asset basis in a computerized accounting system, the method includes receiving basic transaction information relating to an asset, the basis transaction information including Real Date, As of Date, Journal ID, Payee ID, and Transaction ID, receiving transaction type information indicating at least one transaction type selected from Return of Capital, Short Sale, Close Short Sale, Transfer Out, Transfer In, Bought, Tax Basis Adjustment, Tax and Cost Basis Adjustment, and/or Sold, receiving additional transaction specific data, the transaction specific data being defined by the transaction type based on at least one rule, building a data matrix of required values for determining basis of the asset based on the additional transaction specific data, the transaction type information, and the basic transaction information, and determining at least one of a market value basis, a cost basis, and a tax basis for the asset based on the transaction type i

Abstract: An occupancy grid probability prediction method includes: determining a dynamic particle probability based on a first probability that a dynamic particle will move from a donor cell of an occupancy grid to a recipient cell of the occupancy grid; and determining one or more predicted probabilities of at least one of the donor cell or the recipient cell based on the dynamic particle probability.

Abstract: Radio unit output power management technologies are disclosed. An example method for managing output power of radio units serving a private communications network includes obtaining network status including output power status of the radio units and spectrum information indicating frequency bands utilized by the one or more radio units, performance requirements of the private communications network, and constraints applicable to output power of the radio units in accordance with the spectrum information. The method also includes determining a dynamically-optimized output power strategy for the one or more radio units to satisfy the performance requirements based on the output power status and spectrum information, subject to the constraints, and implementing particularized radio unit output power control based on the output power strategy.

Abstract: Data related to the adherence of a patient to a therapy regime can be collected from multiple medical devices, each of which may have an incomplete data set with data entries associated with times. Each incomplete data set represents a portion of a complete data set. The data sets can be integrated to create a complete data set with data entries from each incomplete data set being arranged in a temporal sequence with respect to one another. A report may be generated, the report having the data entries of the complete data set or a function of the data entries of the complete data set.

Abstract: A device charging system may include a battery module configured to supply a type of power to at least one load device. A device charging system may include a central charging station configured to charge the battery module, the central charging station including a locking mechanism, wherein the locking mechanism is configured to lock the battery module to the central charging station in response to an electronic command, and wherein the locking mechanism is configured to be physically overridden via a user.

Abstract: Examples of the present disclosure describe systems and methods for restricting access to application programming interfaces (APIs). For example, when a process calls an API, the API call may be intercepted by a security system for evaluation of its trustfulness before the API is allowed to run. Upon intercepting an API call, the process calling the API may be evaluated to determine if the process is known to the security system, such that known processes that are untrusted may be blocked from calling the API. Further, when the security system cannot identify the process calling the API, the security service may evaluate a call stack associated with the call operation to determine if attributes of the call operation are known to the security system. If the call operation is known to the security system as untrusted, the call operation may be blocked from calling the API.

Abstract: Aspects and implementations include systems and techniques that detect and correct failure of data storage and communication operations, including obtaining a first plurality of values, selecting a first plurality of error correction values to generate a first codeword, wherein the first codeword is associated with a plurality of syndrome values that encode a second subset of the first plurality of values, and causing a first processing device or a second processing device to restore the first plurality of values based on the first codeword.

Abstract: An embodiment includes displaying to a physician at least one of: (a)(i) a map of a hospital floor, (a)(ii) a first patient identifier, and (a)(iii) a second patient identifier, wherein (b)(i) the map displays first and second rooms of the hospital floor, (b)(ii) a first patient is assigned to the first room and the first patient identifier, (b)(iii) a second patient is assigned to the second room and a second patient identifier, and (b)(iv) a first nurse is assigned to the first room and the first patient identifier, (b)(v) and a second nurse is assigned to the second room and the second patient identifier; receiving a selection from the physician, the selection comprising at least one of the displayed first room and the displayed first patient identifier; and sending a communication from the physician to the first nurse, and not the second nurse, in response to receiving the selection.

Abstract: A device having a dual-inverted L antenna (DILA) and an LC tank circuit configured to improve specific absorption rate (SAR) hotspots. The SAR hotspots are split between a first aperture defined between the DILA and a daughter printed circuit board (PCB), and the second aperture defined between the daughter PCB and a battery casing. A main PCB is coupled to battery by a flexible circuit board (FCB). The DILA is configured to radiate RF energy at a first frequency, and the LC tank circuit is configured to radiate RF energy at a second frequency to improve bandwidth.

Abstract: A system for selection of a medical provider (MP) by a requesting patient based on preferences for the MP includes a first model modeling the preferences of a plurality of patients for select MPs and trained on a first training data set. A second model is provided for modeling the preferences of a plurality of MPs for select patients and trained on a second training data set. A controller controls the first and second models to select at least a portion of available MPs in an available MP data set for input of the associated representative information to the first and second model MP inputs. A patient rank calculator accumulates the output patient determined preferences for MPs associated with the selected at least a portion of the available MPs and generates a MP ranking for each of the selected at least a portion of the available MPs.

Abstract: An apparatus may include a sense amplifier with a single column select transistor, a local input/output line selectively couplable to a first bit line through the column select transistor, and a read/write gap comprising at least a first transistor and a second transistor. The first transistor may be couplable to a read select signal and a complimentary local input/output line and the second transistor is couplable to the complimentary local input/output line and a global input/output line.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to determine whether audience measurement meters are co-located. An example apparatus is to, based on a difference between a first sampling time of a first entry of a first log and a second sampling time of a corresponding entry of a second log satisfying a first threshold, determine at least one matching instance of at least one first device identifier of the first entry and at least one second device identifier of the corresponding entry. Additionally, the example apparatus is to populate a variable with the at least one matching instance. The example apparatus is also to, based on a metric satisfying a second threshold, cause transmission of an alert indicating that a first meter and a second meter were co-located during generation of the first log and the second log, the metric based on the at least one matching instance.