Abstract: A method and system for reconstructing magnetic resonance (MR) images, the method including the steps of: receiving an under-sampled MR image, the under-sampled MR image being transformed from under-sampled k-spaced data; classifying intensity of each pixel in the under-sampled MR image to one of a plurality of predetermined quantized values of intensity by using a neural network; and generating a reconstructed MR image based on the classified quantized value of the intensity for each pixel in the under-sampled MR image.

Abstract: Systems and methods for removing carbonaceous clinker material from a coke oven are described. A coke oven can be provided including an oven floor, coke, and clinker material deposited on the oven floor. After a temperature of the coke oven has reached a first temperature (e.g., after heating coal in the oven to produce coke), the method includes increasing the temperature of the coke oven to a second temperature that is higher than the first temperature for a predetermined amount of time. After the predetermined amount of time, the temperature is reduced to a third temperature that is lower than the first temperature.

Abstract: A method and system for reducing or removing motion artefacts in magnetic resonance (MR) images, the method including the steps of: receiving a motion corrupted MR image; determining a corrected intensity value for each pixel in the motion corrupted MR image by using a neural network; and generating a motion corrected MR image based on the determined corrected intensity values for the pixels in the motion corrupted MR image.

Abstract: A computer receives a multimedia data, where the multimedia data comprises a plurality of frames. The computer converts the multimedia data into a signal wave having a plurality of frequencies and a plurality of amplitudes. The computer determines a frame from the plurality of frames having a pronoun. The computer identifies a topic of the frame. The computer searches for a frame in a media repository having a highest correlation coefficient with the topic of the frame, where the frame from the media repository comprises a bag of objects and resolves the anaphora disambiguation by substituting the pronoun with an object from the bag of objects.

Abstract: A method and a system for dataset evaluation are provided. The method can include acquiring a new dataset for integration with an existing dataset. The existing dataset is used to train a machine learning model. The method can also include calculating a baseline of variation for the existing dataset. The baseline of variation can be determined by evaluating various characteristics of the existing dataset. The method can further include determining an output value for the new dataset by also evaluating characteristics of the new dataset. The method can also include comparing the output value to the baseline of variation to generate a variance between the output value and the baseline of variation. The method can further include determining whether the variance is within an acceptable range of the baseline of variation.

Abstract: A computer-implemented method reduces toil in chat systems. The method includes receiving, from a sending account, a message to be sent in a chat environment, where the chat environment includes a plurality of accounts including the sending account. The method also includes determining, by a learning model, a category of the message. The method further includes generating, for each account of the plurality accounts in a channel of the chat environment, a score, where the score indicates a likelihood an associated account will respond to a post with relevant information. The method includes recommending, based on the score, one or more accounts of the plurality of accounts to an at message, where the at message is configured to cause a notification to the associated account. The method further includes posting the message in the channel of the chat environment while at-mentioning the one or more accounts.

Abstract: A computer-implemented method reduces toil in chat systems. The method includes receiving, from a sending account, a message to be sent in a chat environment, where the chat environment includes a plurality of accounts including the sending account. The method also includes determining, by a learning model, a category of the message. The method further includes generating, for each account of the plurality accounts in a channel of the chat environment, a score, where the score indicates a likelihood an associated account will respond to a post with relevant information. The method includes recommending, based on the score, one or more accounts of the plurality of accounts to an at message, where the at message is configured to cause a notification to the associated account. The method further includes posting the message in the channel of the chat environment while at-mentioning the one or more accounts.

Abstract: An embodiment for creating a template for user experience by segmenting a visual surrounding is provided. The embodiment may include receiving real-time and historical data relating to one or more content interactions of a user wearing an augmented reality (AR) device. The embodiment may also include analyzing one or more contextual situations of the one or more content interactions. The embodiment may further include identifying one or more objects of interest in a visual surrounding environment of the user. The embodiment may also include in response to determining the identification of the object type is confident, predicting a contextual need for each object of interest. The embodiment may further include creating one or more information display templates. The embodiment may also include populating the one or more information display templates with information and displaying the one or more populated information display templates to the user.

Abstract: A wearable computing device generates a volumetric visualization at a first position that is located in a three-dimensional space. The wearable computing device includes a volumetric source configured to create the volumetric visualization. The wearable computing device includes one or more sensors configured to determine movement of the wearable computing device. A movement of the wearable computing device is identified by the wearable computing device. Based on the movement the wearable computing device adjusts the volumetric source.

Abstract: A computer-implemented process for training a natural language processing (NLP) agent having a reinforced learning model includes the following operations. A type of document from a document corpus is identified using metadata particularly associated with the document. The NLP agent tokenizes the document to generate a plurality of tokens. Using a schema identified from the type of the document, one of the plurality of tokens is compared to a system of record (SOR) field from the schema. A similarity score between the one of the plurality of tokens with a correct value and a reward based upon the similarity score are generated. A determination is made that an optimum minimum average similarity rate has not been obtained. Based upon the determination, the reinforced learning model is trained using a loss function that includes the reward.

Abstract: A monoclonal antibody, or antigen-binding portion thereof is provided that specifically binds to a region on a mammalian IL-31 protein involved with interaction of the IL-31 protein with its co-receptor, wherein the binding of said antibody to said region is impacted by mutations in a 15H05 epitope binding region selected from: a region between about amino acid residues 124 and 135 of a feline IL-31 sequence represented by SEQ ID NO: 157 (Feline_IL31_wildtype); a region between about amino acid residues 124 and 135 of a canine IL-31 sequence represented by SEQ ID NO: 155 (Canine_IL31); and a region between about amino acid residues 118 and 129 of an equine IL-31 sequence represented by SEQ ID NO: 165 (Equine_IL31). Such antibodies can be in the form of veterinary compositions useful for treating IL-31-mediated disorders in cats, dogs, or horses.

Abstract: An embodiment for creating a template for user experience by segmenting a visual surrounding is provided. The embodiment may include receiving real-time and historical data relating to one or more content interactions of a user wearing an augmented reality (AR) device. The embodiment may also include analyzing one or more contextual situations of the one or more content interactions. The embodiment may further include identifying one or more objects of interest in a visual surrounding environment of the user. The embodiment may also include in response to determining the identification of the object type is confident, predicting a contextual need for each object of interest. The embodiment may further include creating one or more information display templates. The embodiment may also include populating the one or more information display templates with information and displaying the one or more populated information display templates to the user.

Abstract: A wearable computing device generates a volumetric visualization at a first position that is located in a three-dimensional space. The wearable computing device includes a volumetric source configured to create the volumetric visualization. The wearable computing device includes one or more sensors configured to determine movement of the wearable computing device. A movement of the wearable computing device is identified by the wearable computing device. Based on the movement the wearable computing device adjusts the volumetric source.

Abstract: In an approach for building a machine learning model that predicts the appropriate action to resolve a malfunction or system error, a processor receives an alert that a malfunction or a system error has occurred. A processor creates a workspace on a ChatOps platform integrated with a chatbot and one or more tools. A processor inputs data relating to the alert in a natural language format. A processor processes the data using a natural language processing algorithm. Responsive to determining a pre-set threshold for outputting the appropriate action is not met, a processor establishes a conversation between two or more support service agents in the workspace. A processor monitors the conversation using the natural language processing algorithm. A processor analyzes a transcript of the conversation using text analytics or pattern matching. A processor creates and trains a machine learning model to predict the appropriate action in future iterations.

Abstract: The present invention provides a method of determining the identity and/or amount of an anti-IL-31 antibody in a sample. Such a method includes incubating a sample comprising an anti-IL-31 antibody with at least one mimotope selected from a feline IL-31 mimotope, a canine IL-31 mimotope, a horse IL-31 mimotope, and a human IL-31 mimotope; and determining the identity and/or quantity of the anti-IL-31 in the sample.

Abstract: In an approach for building a machine learning model that predicts the appropriate action to resolve a malfunction or system error, a processor receives an alert that a malfunction or a system error has occurred. A processor creates a workspace on a ChatOps platform integrated with a chatbot and one or more tools. A processor inputs data relating to the alert in a natural language format. A processor processes the data using a natural language processing algorithm. Responsive to determining a pre-set threshold for outputting the appropriate action is not met, a processor establishes a conversation between two or more support service agents in the workspace. A processor monitors the conversation using the natural language processing algorithm. A processor analyzes a transcript of the conversation using text analytics or pattern matching. A processor creates and trains a machine learning model to predict the appropriate action in future iterations.

Abstract: A vaccine composition for immunizing and/or protecting a mammal against an IL-31 mediated disorder is provided, wherein the composition includes: the combination of a carrier polypeptide and at least one mimotope selected from a feline IL-31 mimotope, a canine IL-31 mimotope, a horse IL-31 mimotope, and a human IL-31 mimotope; and an adjuvant. Such vaccines can be in the form of pharmaceutical compositions useful for treating or protecting mammals such as cats, dogs, horses, or humans against IL-31-mediated disorders.

Abstract: Visualizing a contaminant is provided. A contaminant of a plurality of different contaminants included in a contaminant knowledgebase is identified based on analysis of contaminant-relevant data received from one or more sensors of a plurality of different sensor arrays regarding an enclosed physical space. A concentration and a type of the contaminant is identified based on the contaminant-relevant data and information included in the contaminant knowledgebase. A location of the contaminant is identified within the enclosed physical space based on location of the one or more sensors that obtained the contaminant-relevant data and a digital twin of the enclosed physical space. A visualization of the contaminant is projected at an area proximate to the location of the contaminant using a holographic image indicating the concentration and the type of the contaminant within the enclosed physical space.

Abstract: A computer receives a multimedia data, where the multimedia data comprises a plurality of frames. The computer converts the multimedia data into a signal wave having a plurality of frequencies and a plurality of amplitudes. The computer determines a frame from the plurality of frames having a pronoun. The computer identifies a topic of the frame. The computer searches for a frame in a media repository having a highest correlation coefficient with the topic of the frame, where the frame from the media repository comprises a bag of objects and resolves the anaphora disambiguation by substituting the pronoun with an object from the bag of objects.

Abstract: The invention provides an isolated antibody, or antigen-binding portion thereof that specifically binds to canine or feline Oncostatin M receptor Beta (OSMR-?) or both, wherein the antibody antagonizes IL-31-mediated signaling or OSM-mediated signaling or both in a canine and/or feline cell.