Abstract: A method of using a catheter assembly for inserting in a fluid filled space in a body includes providing a main body having a first end portion and a second end portion. The first end portion is positioned within the fluid filled space. The second end portion is adjusted to extend outwardly from the fluid filled space when the first end portion is positioned within the fluid filled space. A catheter tip is connected to the second end portion of the main body. The catheter tip includes a housing having a cavity defined therein and a rotating element positioned within the fluid filled space. The rotating element is rotated within the cavity of the housing to impart movement of the first end portion of the main body within the fluid filled space.

Abstract: MiniVectors and compositions containing MiniVectors that target genes implicated in IPF selected from CDH11, STAT3, STAT6, FoxM1, MDM2, TGF?, SMAD, PDGFA, or TLR4 and/or increase intracellular levels of reduced glutathione, relaxin, and p53, are provided, along with uses in the treatment of idiopathic pulmonary fibrosis.

Abstract: MiniVectors and compositions containing MiniVectors that are ultrapure, and methods of making and using ultrapure MiniVectors for gene therapy uses, including long term repeated gene therapy uses.

Abstract: A device receives historical data associated with multiple cloud computing environments, trains one or more machine learning models, with the historical data, to generate trained machine learning models that generate outputs, and trains a model with the outputs to generate a trained model. The device receives particular data, associated with a cloud computing environment, that includes data identifying usage of resources associated with the cloud computing environment, and processes the particular data, with the trained machine learning models, to generate anomaly scores indicating anomalous usage of the resources associated with the cloud computing environment. The device processes the one or more anomaly scores, with the trained model, to generate a final anomaly score indicating anomalous usage of at least one of the resources associated with the cloud computing environment, and performs one or more actions based on the final anomaly score.

Abstract: A system for determining a likelihood of future malignant edema occurring in a patient includes an input, a processor coupled to the input, and a memory coupled to the processor. The memory includes instructions that program the processor to receive, through the input, computed tomography (CT) scans of the patient after occurrence of a stroke in the patient, determine at least one cerebrospinal fluid (CSF) metric from the CT scans, and determine a likelihood of a future malignant edema occurring in the patient based at least in part on the at least one CSF metric.

Abstract: A device may receive historical cloud data associated with resources of a cloud computing environment, and may receive historical customer data associated with requested resource usage by customers of the cloud computing environment. The device may determine a usage growth profile based on the historical cloud data and the historical customer data, and may determine, based on the historical cloud data and the historical customer data, usage deviation data indicating deviations between actual and planned resource usage. The device may train a model, with the usage growth profile and the usage deviation data, to generate a trained model, and may receive a request for new resource usage by a customer associated with the cloud computing environment. The device may process the request for the new resource usage, with the trained model, to generate projected resource usage data, and may perform actions based on the projected resource usage data.

Abstract: A method, computer program product and a system for receiving information corresponding to an event ticket, determining a value of the event ticket, publishing at least a portion of the information corresponding to the event ticket and the value of the event ticket, receiving an offer for the event ticket and providing the offer to a current owner of the event ticket.

Abstract: A patient's image data and associated metadata describing the image data and characteristics of the patient are received and stored in a memory area. Information that describes one or more imaging analysis services and associated service criteria is accessed and compared to the metadata. Based on matches between the image metadata and service criteria, services are selected and executed, producing an output. Iterative rounds of service matching based on the metadata and the output of previous services and service execution proceed. The output of the services is associated with the image data and metadata, stored in the memory area, and made available to the user. A data repository, including the original images, metadata, and service output is accessible via the services for use in comparative analyses. Such services can utilize the repository to dynamically update indices and algorithms used in the comparative analyses.

Abstract: A prediction of the cost associated with translating textual content in a source language can be determined. A first quantity estimation of first textual content may be determined. The first textual content is to be translated via human translation. A second quantity estimation of second textual content may also be determined. The second textual content is to be translated via machine translation. An indication of a target language is obtained, wherein the source language and the target language form a language pair. The prediction of the cost associated with translating the first textual content and the second textual content from the source language to the target language is then determined. The prediction is based at least in part on the first quantity estimation, the second quantity estimation, and the language pair.

Abstract: A device may receive historical cloud data associated with resources of a cloud computing environment, and may receive historical customer data associated with requested resource usage by customers of the cloud computing environment. The device may determine a usage growth profile based on the historical cloud data and the historical customer data, and may determine, based on the historical cloud data and the historical customer data, usage deviation data indicating deviations between actual and planned resource usage. The device may train a model, with the usage growth profile and the usage deviation data, to generate a trained model, and may receive a request for new resource usage by a customer associated with the cloud computing environment. The device may process the request for the new resource usage, with the trained model, to generate projected resource usage data, and may perform actions based on the projected resource usage data.

Abstract: A device receives historical data associated with multiple cloud computing environments, trains one or more machine learning models, with the historical data, to generate trained machine learning models that generate outputs, and trains a model with the outputs to generate a trained model. The device receives particular data, associated with a cloud computing environment, that includes data identifying usage of resources associated with the cloud computing environment, and processes the particular data, with the trained machine learning models, to generate anomaly scores indicating anomalous usage of the resources associated with the cloud computing environment. The device processes the one or more anomaly scores, with the trained model, to generate a final anomaly score indicating anomalous usage of at least one of the resources associated with the cloud computing environment, and performs one or more actions based on the final anomaly score.

Abstract: A prediction of the cost associated with translating textual content in a source language can be determined. A first quantity estimation of first textual content may be determined. The first textual content is to be translated via human translation. A second quantity estimation of second textual content may also be determined. The second textual content is to be translated via machine translation. An indication of a target language is obtained, wherein the source language and the target language form a language pair. The prediction of the cost associated with translating the first textual content and the second textual content from the source language to the target language is then determined. The prediction is based at least in part on the first quantity estimation, the second quantity estimation, and the language pair.

Abstract: A prediction of the cost associated with translating textual content in a source language can be determined. A first quantity estimation of first textual content may be determined. The first textual content is to be translated via human translation. A second quantity estimation of second textual content may also be determined. The second textual content is to be translated via machine translation. An indication of a target language is obtained, wherein the source language and the target language form a language pair. The prediction of the cost associated with translating the first textual content and the second textual content from the source language to the target language is then determined. The prediction is based at least in part on the first quantity estimation, the second quantity estimation, and the language pair.

Abstract: The present invention provides a method that includes receiving a result word set in a target language representing a translation of a test word set in a source language. When the result word set is not in a set of acceptable translations, the method includes measuring a minimum number of edits to transform the result word set into a transform word set. The transform word set is in the set of acceptable translations. A system is provided that includes a receiver to receive a result word set and a counter to measure a minimum number of edits to transform the result word set into a transform word set. A method is provided that includes automatically determining a translation ability of a human translator based on a test result. The method also includes adjusting the translation ability of the human translator based on historical data of translations performed by the human translator.

Abstract: Methods and systems for optimizing a call queue at a dispatch center. One system includes an electronic computing device including an electronic processor configured to define an incident based on a first call received from a first communication device, wherein the incident includes an incident location, receive, from a second communication device operated by a caller, a second call, perform an analysis of a metadata of the second call, determine a caller identification based on the metadata of the second call when the electronic processor determines, based on the analysis, that either (1) a call traffic level, following the first call, exceeds a call traffic threshold, or (2) a location of the second communication device is proximate to a location of the incident, and direct the second call to either a primary call handling workstation or a secondary call handling workstation based on the caller identification.

Abstract: A learning system for a text-to-text application such as a machine translation system. The system has questions, and a matrix of correct answers to those questions. Any of the many different correct answers within the matrix can be considered as perfectly correct answers to the question. The system operates by displaying a question, which may be a phrase to be translated, and obtaining an answer to the question from the user. The answer is compared against the matrix and scored. Feedback may also be provided to the user.

Abstract: The present invention provides a method that includes receiving a result word set in a target language representing a translation of a test word set in a source language. When the result word set is not in a set of acceptable translations, the method includes measuring a minimum number of edits to transform the result word set into a transform word set. The transform word set is in the set of acceptable translations. A system is provided that includes a receiver to receive a result word set and a counter to measure a minimum number of edits to transform the result word set into a transform word set. A method is provided that includes automatically determining a translation ability of a human translator based on a test result. The method also includes adjusting the translation ability of the human translator based on historical data of translations performed by the human translator.

Abstract: The present invention provides a method that includes receiving a result word set in a target language representing a translation of a test word set in a source language. When the result word set is not in a set of acceptable translations, the method includes measuring a minimum number of edits to transform the result word set into a transform word set. The transform word set is in the set of acceptable translations. A system is provided that includes a receiver to receive a result word set and a counter to measure a minimum number of edits to transform the result word set into a transform word set. A method is provided that includes automatically determining a translation ability of a human translator based on a test result. The method also includes adjusting the translation ability of the human translator based on historical data of translations performed by the human translator.

Abstract: A clamping apparatus that securely creates an anchoring point along the side rails of the pickup bed to efficiently fasten a securing strap or rope includes a pickup bed rail clamp, a T-head tie down, and a strap receiving bracket. An upper jaw and a lower jaw of the pickup bed rail clamp secure the clamping apparatus to the pickup bed through a fastener of the pickup bed rail clamp. The strap receiving bracket is terminally connected to the upper jaw and designed to receive a hook of the securing strap or a knot of the securing rope. The T-head tie down is connected to the upper jaw and the strap receiving bracket. a first V-shaped notch, a second V-shaped notch, and a U-shaped notch of the T-head tie down provide multiple placements for the securing strap or rope to loop around thus secure a load within the pickup bed.

Abstract: A method is provided for limiting access to airspace by drones. The method includes receiving position information from a user associated with a property identified by the position information. The method also includes assembling the position information with other position information to compile a comprehensive configurable flight zone database. The method further includes pushing the configurable flight zone database to at least one drone. The drone accesses the configurable flight zone database to determine if movement is allowed, and the drone is programmed to not fly into areas identified in the configurable flight zone database. In the method, the drone may be further programmed to prohibit directing a camera into the areas identified in the configurable flight zone database.