Abstract: Methods, computer systems, and computer readable media for a patient care card graphical user interface are provided. The patient care card graphical user interface comprises a requirements display area configured to display one or more clinical measures relating to a patient, and a visual indicator that changes depending on whether the at least one or more clinical measures has been met.

Abstract: The disclosure describes systems and methods for disambiguating a non-unique identifiers of real world entities (RWEs) detected by a computing network by dynamically identifying relationships between RWEs known to the network. The relationships are determined based on social, spatial, temporal and logical information known about the RWEs based on the RWEs previous interactions with the network. These relationships are then used to generate a probability for each RWE that the non-unique identifier identifies that RWE. Based on the probabilities an RWE is selected and the proper network identifier may be used in place of the non-unique identifier.

Abstract: Presented is a method for determining the maximum number of key selection vectors (KSVs) supported by an HDCP source. The method includes providing a number of KSVs to the HDCP source, determining whether the HDCP source has entered a failure mode in response to the provided number of KSVs, increasing or decreasing the number of KSVs in response to the HDCP source not entering or entering the failure mode, providing the increased or decreased number of KSVs to the HDCP source, determining whether the HDCP source has entered the failure mode in response to the provided increased or decreased number of KSVs, and repeating the increasing, decreasing, and determining steps until the difference between a lowest number of provided KSVs resulting in the HDCP source entering the failure mode and a highest number of provided KSVs resulting in the HDCP source not entering the failure mode is one.

Abstract: The present invention is a wireway for a conveyor system which is integrally molded into the sideguard of the conveyor system. The sidewall, or sideguard, has both an inner wall and an outer wall, and there is an intermediate wall connected to both the inner wall and outer wall. The inner wall, outer wall, and intermediate wall form an upper passage and a lower passage which function as a wireway in which wires are fed through and connect to various components of the conveyor system.

Abstract: The disclosure describes systems and methods for disambiguating a non-unique identifiers of real world entities (RWEs) detected by a computing network by dynamically identifying relationships between RWEs known to the network. The relationships are determined based on social, spatial, temporal and logical information known about the RWEs based on the RWEs previous interactions with the network. These relationships are then used to generate a probability for each RWE that the non-unique identifier identifies that RWE. Based on the probabilities an RWE is selected and the proper network identifier may be used in place of the non-unique identifier.

Abstract: The disclosure describes systems and methods for synchronizing data on a network based on temporal, spatial, social and logical data available to the network. The method includes receiving a first information object (IO) containing attributes for a first real-world entity (RWE), the first IO associated with a second RWE; identifying one or more second IOs, each second IO containing one or more attributes for the first RWE and each second IO independently associated with a third RWE; generating a different probability for each IO based on a comparison of contents of the first and second IOs and their associated RWEs; and replacing one or more of the attributes in at least one IO with at least one attribute from a different IO based on the probabilities for each IO.

Abstract: Presented is a method for determining the maximum number of key selection vectors (KSVs) supported by an HDCP source. The method includes transmitting a number of KSVs to the HDCP source, determining whether the HDCP source has entered a failure mode in response to the transmitted number of KSVs, increasing or decreasing the number of KSVs in response to the HDCP source not entering or entering the failure mode, transmitting the increased or decreased number of KSVs to the HDCP source, determining whether the HDCP source has entered the failure mode in response to the transmitted increased or decreased number of KSVs, and repeating the increasing, decreasing, and determining steps until the difference between a lowest number of transmitted KSVs resulting in the HDCP source entering the failure mode and a highest number of transmitted KSVs resulting in the HDCP source not entering the failure mode is one.

Abstract: Described is a technology by which a probability is estimated for a token in a sequence of tokens based upon a number of zero or more times (actual counts) that the sequence was observed in training data. The token may be a word in a word sequence, and the estimated probability may be used in a statistical language model. A discount parameter is set independently of interpolation parameters. If the sequence was observed at least once in the training data, a discount probability and an interpolation probability are computed and summed to provide the estimated probability. If the sequence was not observed, the probability is estimated by computing a backoff probability. Also described are various ways to obtain the discount parameter and interpolation parameters.

Abstract: Described is a technology by which a statistical N-gram (e.g., language) model is trained using an N-gram selection technique that helps reduce the size of the final N-gram model. During training, a higher-order probability estimate for an N-gram is only added to the model when the training data justifies adding the estimate. To this end, if a backoff probability estimate is within a maximum likelihood set determined by that N-gram and the N-gram's associated context, or is between the higher-order estimate and the maximum likelihood set, then the higher-order estimate is not included in the model. The backoff probability estimate may be determined via an iterative process such that the backoff probability estimate is based on the final model rather than any lower-order model. Also described is additional pruning referred to as modified weighted difference pruning.

Abstract: The present locomotive brake control system includes a vacuum relay valve responsive to air brake apply and release signals on the air brake pipe to provide vacuum brake apply and release signals on a vacuum brake pipe. A locomotive brake controller is responsive to the brake apply and release signals on the air brake pipe to control the brake cylinder to apply and release the locomotive brakes in an air mode, and is responsive to the brake apply and release signals on the vacuum brake pipe sensed by a transducer to control the brake cylinder to apply and release the locomotive brakes in a vacuum mode.

Abstract: An electronic device with radio and GNSS receiving capabilities is used to provide a second or further authentication factor to current and future transaction systems. The device's embedded characteristics are combined with GNSS data into a unique identifiable device code. The device can be used initially to put a bank or credit card into a “transaction enabled” mode. The location of the electronic device can be compared to the location from which a request to use the enabled card originates.

Abstract: A method and apparatus for cooling a human being utilizes skin temperature feedback to control the amount of cooling. When the measured skin temperature reaches a preset high temperature, the human being is cooled until the measured skin temperature reaches a preset low temperature, and then cooling of the human being stops. In one embodiment, the preset high temperature is about 35 degrees Centigrade and the preset low temperature is about 33 degrees Centigrade. Cooling of the human being resumes whenever the preset high temperature is reached and pauses whenever the preset low temperature is reached to thereby provide intermittent cooling to the human being. The invention is also applicable to heating a human being.

Abstract: The claimed subject matter provides systems and/or methods for training feature weights in a statistical machine translation model. The system can include components that obtain lists of translation hypotheses and associated feature values, set a current point in the multidimensional feature weight space to an initial value, chooses a line in the feature weight space that passes through the current point, and resets the current point to optimize the feature weights with respect to the line. The system can further include components that set the current point to be a best point attained, reduce the list of translation hypotheses based on a determination that a particular hypothesis has never been touched in optimizing the feature weights from at least one of an initial staring point or a randomly selected restarting point, and output the point ascertained to be the best point in the feature weight space.

Abstract: The present locomotive brake control system includes a vacuum relay valve responsive to air brake apply and release signals on the air brake pipe to provide vacuum brake apply and release signals on a vacuum brake pipe. A locomotive brake controller is responsive to the brake apply and release signals on the air brake pipe to control the brake cylinder to apply and release the locomotive brakes in an air mode, and is responsive to the brake apply and release signals on the vacuum brake pipe sensed by a transducer to control the brake cylinder to apply and release the locomotive brakes in a vacuum mode.

Abstract: The disclosure describes systems and methods for scheduling an event in which user data, which may include social data, spatial data, temporal data and logical data, associated with each of the designated attendees of the event is used to prioritize and optimally schedule the event. Based on user data collected from past interactions with the network, for each attendee a priority score is generated for the event based on a comparison of the attendee's user data and the event information. One or more proposed alternate events are then identified based on the various attendees' priority scores of the event and their previously scheduled events. The organizer of the event may then select one of the proposed alternate events which is subsequently added to the attendees' electronic calendars.

Abstract: A mannequin suitable for testing absorbent articles has a surface having a coefficient of friction of 0.8 to 1.28 as measured by the Coefficient of Friction Test disclosed herein and a contact angle of 94 to 106 degrees as measured by the Contact Angle Test disclosed herein. In various embodiments, the mannequin may further have an indentation value of 3 to 7 kPa over the range of 0 to 4 mm of depth as measured by the Indentation Test disclosed herein. In various embodiments, the mannequin may further have a transmittance value of 50 to 90 percent, a haze value of 8 to 65 percent, and a clarity value of 10 to 80 percent as measured by the Optical Characteristics Test disclosed herein.

Abstract: The disclosure describes systems and methods for disambiguating a non-unique identifiers of real world entities (RWEs) detected by a computing network by dynamically identifying relationships between RWEs known to the network. The relationships are determined based on social, spatial, temporal and logical information known about the RWEs based on the RWEs previous interactions with the network. These relationships are then used to generate a probability for each RWE that the non-unique identifier identifies that RWE. Based on the probabilities an RWE is selected and the proper network identifier may be used in place of the non-unique identifier.

Abstract: The disclosure describes systems and methods for prioritizing delivery of a communication to a recipient via a first communication channel, such as email, voice, voicemail, IM, SMS, or even physical parcel. Prioritization is done by dynamically identifying one or more relationships between the recipient and information known about the communication, the relationships determined from social, spatial, temporal, and logical data previously collected by the system from prior communications on any communication channel. Based on the identified relationships, a priority score is generated for the communication and the communication is delivered to the recipient via one of a plurality of delivery modes based on the priority score.

Abstract: The disclosure describes systems and methods delivering communications based on contextual addresses. An address string containing two or more identifiers, which may not be unique identifiers, and at least one conditional operator are provided as the address for a message or communication. The system identifies contextual relationships between a plurality of entities based on prior communications between the entities over the network. Based the contextual relationships, each identifier in the address string is disambiguated to identify one of the entities as a recipient and any associated delivery conditions controlling the delivery of the communication. The communication is then delivered to the identified recipient in accordance with the delivery condition.

Abstract: The disclosure describes systems and methods delivering communications associated with deliver conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.