Abstract: What is provided are commemorative pieces of jewelry that include food, beverage, and/or botanical extracts and methods of making the same. An embodiment of a piece of jewelry comprises a mixture including one or more first layers of cured resin and an extract, wherein the mixture is inlaid in the piece of jewelry, and wherein the extract is derived from a food, an alcoholic beverage, a non-alcoholic beverage, a plant or a botanical. The piece of jewelry further comprises one or more second layers of cured resin.

Abstract: Electrical protection devices, such as for use with power systems for overvoltage protection, are disclosed. One electrical protection device includes a first electrical connection, a second electrical connection, a first electrical discharge device, and a second electrical discharge device. The first electrical discharge device includes a first conductive bus connected to the first electrical connection and a second conductive bus connected to the second electrical connection. The first electrical discharge device has a first breakdown voltage. The second electrical discharge device includes a third conductive bus connected to the first electrical connection and a fourth conductive bus connected to the second electrical connection. The second electrical discharge device has a second breakdown voltage.

Abstract: Embodiments include methods, systems and computer program products for performing named entity recognition. Aspects include obtaining a text having a plurality of words and comparing each of the plurality of words to a dictionary. Aspects also include creating, based on the comparison, an annotation for at least one of the plurality of words that the least one of the plurality of words refers to a named entity. Aspects further include parsing the text to identify a part of speech for each of the plurality of words and removing the annotations from each of the at least one of the plurality of words that has a part of speech that is not one or a noun and a noun supporting adjective.

Abstract: In one example, a system can execute a first machine-learning model to determine an overall classification for a textual dataset. The system can also determine classification scores indicating the level of influence that each token in the textual dataset had on the overall classification. The system can select a first subset of the tokens based on their classification scores. The system can also execute a second machine-learning model to determine probabilities that the textual dataset falls into various categories. The system can determine category scores indicating the level of influence that each token had on a most-likely category determination. The system can select a second subset of the tokens based on their category scores. The system can then generate a first visualization depicting the first subset of tokens color-coded to indicate their classification scores and a second visualization depicting the second subset of tokens color-coded to indicate their category scores.

Abstract: A system for stimulation of a nucleus basalis of Meynert (NBM) of a patient includes an implantable electrical stimulation lead including electrodes and configured for implantation of at least one of the electrodes adjacent to or within the NBM of the patient; and an implantable pulse generator coupleable to the implantable electrical stimulation lead and configured for delivering electrical stimulation to the NBM through at least one of the electrodes of the implantable electrical stimulation lead, the implantable pulse generator including at least one processor configured to, upon user request, during an initial stimulation period, which is at least 1 month in duration and has a start and an end, increase over time at least one of a duration or an amplitude of the electrical stimulation from an initial value at the start of the initial stimulation period to a final value at the end of the initial stimulation period.

Abstract: A computer-implemented method includes receiving, by a natural language processing (NLP) annotator, an input text that is to be annotated. The method further includes determining, by the NLP annotator, a user setting that indicates an aggressiveness level of annotation to be used to annotate the input text. The method further includes selecting, by the NLP annotator, from a plurality of dictionaries, a first dictionary based at least in part on the aggressiveness level. The method further includes generating, by the NLP annotator, annotated text of the input text based at least in part on the first dictionary. The method further includes outputting, by the NLP annotator, the annotated text.

Abstract: The present disclosure generally relates to a dynamic user interface having an indication of time. The dynamic user interface having the indication of time further includes one or more geometric regions that intersect the indication of time, such that colors of the indication of time are different on opposite sides of a boundary of the one or more geometric regions that intersect the indication of time. The one or more geometric regions may shift and/or change over time, thereby providing a custom and/or unique dynamic user interface having the indication of time.

Abstract: Aspects of the present disclosure include receiving, by a processor, a procedure code for a patient, wherein the procedure code is associated with a medical device, obtaining, by the processor, patient medical data for the patient, analyzing the patient medical data to identify one or more patient medical conditions and one or more other procedure codes, determining a risk score for the procedure code based on the one or more patient medical conditions and the one or more other procedure codes, and enacting an action based at least in part on the risk score for the procedure code

Abstract: A computer-implemented method includes receiving, by a natural language processing (NLP) annotator, an input text that is to be annotated. The method further includes determining, by the NLP annotator, a user setting that indicates an aggressiveness level of annotation to be used to annotate the input text. The method further includes selecting, by the NLP annotator, from a plurality of dictionaries, a first dictionary based at least in part on the aggressiveness level. The method further includes generating, by the NLP annotator, annotated text of the input text based at least in part on the first dictionary. The method further includes outputting, by the NLP annotator, the annotated text.

Abstract: A system trains a classification model. Text windows are defined from tokens based on a window size. A network model including a transformer network is trained with the text windows to define classification information. A first accuracy value is computed. (A) The window size is reduced using a predefined reduction factor value. (B) Second text windows are defined based on the reduced window size. (C) Retrain the network model with the second text windows to define classification information. (D) A second accuracy value is computed. (E) An accuracy reduction value is computed from the second accuracy value relative to the first accuracy value. When the computed accuracy reduction value is ?an accuracy reduction tolerance value, repeat (A)-(E) until the accuracy reduction value is <the accuracy reduction tolerance value. Otherwise, increase the window size, define final text windows based on the increased window size, and retrain the network model.

Abstract: Electrical protection devices, such as for use with power systems for overvoltage protection, are disclosed. One electrical protection device includes a first electrical connection, a second electrical connection, a first electrical discharge device, and a second electrical discharge device. The first electrical discharge device includes a first conductive bus connected to the first electrical connection and a second conductive bus connected to the second electrical connection. The first electrical discharge device has a first breakdown voltage. The second electrical discharge device includes a third conductive bus connected to the first electrical connection and a fourth conductive bus connected to the second electrical connection. The second electrical discharge device has a second breakdown voltage.

Abstract: Systems and methods for generating alerts based on potential health conflicts are described. The described systems and methods may provide for identifying unstructured text from a physical environment, performing natural language processing on the unstructured text to produce annotated text, comparing the annotated text to patient medical information to find a potential conflict, and generating an alert based on the potential conflict.

Abstract: Methods and systems for ensuring operation of one or more circuit breakers electrically connected on a phase of a multi-phase power line on a transformer electrically connected within a power grid at a substation are disclosed. The method includes detecting, at the transformer, a direct current component of a multi-phase power signal received at the transformer, the direct current component comprising a direct current received at a transformer neutral, the transformer neutral being electrically connected to a ground. The method further includes determining whether the direct current is above a predetermined threshold, the predetermined threshold being based on a determination that, above the predetermined threshold, at least one of the one or more circuit breakers is incapable of reliable operation. The method includes, in response to a determination that the direct current component is above the predetermined threshold, blocking the direct current between the transformer neutral and a ground.

Abstract: A method, apparatus, and non-transitory computer readable medium for transportation services using text analytics are described. The method, apparatus, and non-transitory computer readable medium may provide for inputting a text corpus comprising patient medical information, performing text analytics on the text corpus, determining if the patient has a need for transportation assistance based on the performed text analytics, and notifying a transportation service of the need for transportation assistance based on the determination.

Abstract: Systems and methods for generating alerts based on potential health conflicts are described. The described systems and methods may provide for identifying unstructured text from a physical environment, performing natural language processing on the unstructured text to produce annotated text, comparing the annotated text to patient medical information to find a potential conflict, and generating an alert based on the potential conflict.

Abstract: Aspects of the present disclosure provide a computer-implemented method that includes obtaining the medical condition of the individual based at least in part on a personal identifier associated with the individual, the medical condition being determined by performing natural language processing of medical information associated with the individual. The method further includes obtaining characteristics of the plurality of items. The method further includes comparing the characteristics of the plurality of items to a restriction associated with the medical condition of the individual. The method further includes, responsive to determining that at least one of the characteristics of the plurality of items violates the restriction associated with the medical condition of the individual, preventing the individual from obtaining the item of the plurality of items associated with the violation.

Abstract: Systems and method for detecting potentially harmful harmonic and direct current signals at a transformer are disclosed. One system includes a protection circuit electrically connected to a transformer neutral, the transformer electrically connected to a power grid, the protection circuit including a DC blocking component positioned between the transformer neutral and ground and one or more switches selectively actuated to form a path between the transformer neutral and ground in the event of unwanted DC current at the transformer neutral. The system also includes a control circuit electrically connected to the protection circuit and positioned to selectively actuate the switches based on observed conditions within the protection circuit. The system further includes a plurality of test connections disposed within the protection circuit and useable to test electrical properties of the protection circuit.