Abstract: Methods, apparatus, and systems are provided for detecting and removing microplastics from wastewater effluent. Both, automatic/remote and manual monitoring and sampling components are included to detect the presence of microplastics. The automatic monitoring and sampling component includes a TSS sensor and associated apparatus calibrated to account for non-plastic solids present in the wastewater and, thereby, more accurately determine the presence of microplastics. Efficient separation and removal of microplastics from wastewater effluent is performed by a specialized capture net apparatus having multiple sized mesh components and optional diffuser devices which perform size exclusion filtration of microplastics from the water.

Abstract: Disclosed are mechanisms for selecting a recommended item for a current item being viewed by a user account based on a view history of the user account with reduced bias. For a current item being viewed by the user account represented by a current node of a co-watch graph, embodiments can select a recommended item represented by an associated node in the co-watch graph likely being viewed by the user account, and determine a probability of the recommended item likely being viewed. The co-watch graph can be generated based on a view history of the user account. An edge between a first node and a second node of the co-watch graph can have a weight representing a number of co-occurrence times when the first item represented by the first node and the second item represented by the second node are viewed in sequence within a predetermined time interval.

Abstract: Disclosed herein are various embodiments, for a content display and clustering system. An example embodiment operates by receiving a request to display the plurality of content items. At each of multiple levels different pairs of content items are identified and a similarity score is computed for each pair. A subset of pairs for which their similarity score exceeds a similarity threshold for the respective level are identified and clustered. This process is repeated for one or more iterations at the same level, and then the process is repeated for each of the multiple levels. A final clustered subset is identified, and output for display, responsive to the request to display the plurality of content items.

Abstract: Disclosed are system, method and/or computer program product embodiments for improving the performance of a machine learning based algorithm used to provide a user experience to a user via a media device. An embodiment selects a first set of hyperparameter values, implements a first iteration of the algorithm based on the first set of hyperparameter values, utilizes the first iteration of the algorithm to provide a first user experience to the user, determines a response of the user to the first user experience, selects, by a hyperparameter tuning ML model implemented as a contextual multi-arm bandit model or a reinforcement learning model and based on at least the response of the user, a second set of hyperparameter values, implements a second iteration of the algorithm based on the second set of hyperparameter values, and utilizes the second iteration of the algorithm to provide a second user experience to the user.

Abstract: A coating system configured to be applied to a thermal barrier coating of an article includes an infiltration coating configured to be applied to the thermal barrier coating. The infiltration coating infiltrates at least some pores of the thermal barrier coating. The infiltration coating decomposes within at least some pores of the thermal barrier coating to coat a portion of the at least some pores of the thermal barrier coating. The infiltration coating reduces a porosity of the thermal barrier coating. The coating system also includes a reactive phase spray formulation coat configured to be applied to the thermal barrier coating. The reactive phase spray formulation coating reacts with dust deposits on the thermal barrier coating.

Abstract: Disclosed are mechanisms for selecting a recommended item for a current item being viewed by a user account based on a view history of the user account with reduced bias. For a current item being viewed by the user account represented by a current node of a co-watch graph, embodiments can select a recommended item represented by an associated node in the co-watch graph likely being viewed by the user account, and determine a probability of the recommended item likely being viewed. The co-watch graph can be generated based on a view history of the user account. An edge between a first node and a second node of the co-watch graph can have a weight representing a number of co-occurrence times when the first item represented by the first node and the second item represented by the second node are viewed in sequence within a predetermined time interval.

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations thereof, for training a conversational recommendation system. An embodiment generates a probabilistic pseudo-user neural network model based on at least one interest probability distribution corresponding to a pseudo-user profile. The embodiment trains, using the pseudo-user neural network model, the conversational recommendation system to learn a recommendation policy, where the conversational recommendation system includes an interest-exploration engine and a prompt-decision engine. The training includes performing an iterative learning process that includes selecting an interest-exploration strategy based on one or more of the following: an interest-exploration policy, an earlier pseudo-user response generated by the pseudo-user neural network model, content data, and pseudo-user interaction history.

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for recommending content to a user. An embodiment identifies a first set of content items based at least on a first set of weights respectively associated with different user interests, causes the first set of content items to be presented to the user, determines a measure of user interaction with the first set of content items, provides the measure of user interaction to one of a multi-arm bandit (MAB), contextual MAB, or reinforcement learning model that selects, based at least on the state information and the measure of user interaction, a second set of weights respectively associated with the different user interests, identifies a second set of content items based at least on the second set of weights, and causes the second set of content items to be presented to the user.

Abstract: Provided is a battery assembly that includes a housing, one or more battery cells electrically coupled to a busbar, the one or more battery cells and busbar being received in the housing. A non-woven core layer is disposed between the busbar and housing, the non-woven core layer comprising a plurality of fibers, the plurality of fibers includes a plurality of oxidized polyacrylonitrile fibers and a coating disposed thereon that binds the plurality of oxidized polyacrylonitrile fibers to each other. Advantageously, the provided assemblies can exhibit extremely high electrical resistance, thermal resistance, and very high dielectric breakdown voltage.

Abstract: An assembly for an interconnector of an electric machine includes an interconnector housing having a recess opening and one track per phase. Each track includes a connection end to be connected to a phase output, a gasket mounted on the interconnector housing and including a dividing wall partially closing the connection recess opening, and at least one sealing grommet extending from the dividing wall toward the connection recess opening. The grommet includes a conduit extending toward the connection recess opening, a phase output sealing opening passing through the conduit to lead a phase output into the connection recess opening, and a gaiter extending from the dividing wall to the conduit.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for reducing active user or active content category bias in content recommendation systems. An example embodiment operates by modifying a streaming event data set by selecting a voting algorithm. The voting algorithm reduces an impact of highly occurring data points by sampling the streaming event data set to generate a sampled streaming event data set, wherein the highly occurring data points comprise data points generated by the active users or the active content categories. The embodiment further trains, by a machine learning engine and based on the sampled streaming event data set, a machine learning model to generate a reduced bias content recommendation model and generates, based on the reduced bias content recommendation model, content recommendations for subsequent selection and rendering on a media device.

Abstract: A coating system configured to be applied to a thermal barrier coating of an article includes an infiltration coating configured to be applied to the thermal barrier coating. The infiltration coating infiltrates at least some pores of the thermal barrier coating. The infiltration coating decomposes within at least some pores of the thermal barrier coating to coat a portion of the at least some pores of the thermal barrier coating. The infiltration coating reduces a porosity of the thermal barrier coating. The coating system also includes a reactive phase spray formulation coat configured to be applied to the thermal barrier coating.

Abstract: The present invention belongs to the field of biomedical chemistry and provides modified peptides and dimers thereof derived from the amino acid sequence of the protein ADAM-12, their compositions, process of synthesis and their use in medicine, specifically in the inhibition of cancer growth and/or the reduction or inhibition of cancer cell invasion and metastasis in different cancers.

Abstract: A set of content items can be accessed by a community of users having a set of interests. A set of interest based clusters for the set of content items correspond to the set of interests. For a user, a recommendation system can determine a group of user interest clusters selected from the set of interest based clusters. A popularity score for each content item of the set of content items with respect to the community of users can be generated, and an interest based popularity score for a content item within the interest based cluster can be generated based on a rank of the content item based on the popularity score of the content item. Recommendation candidates for the user can be generated based on the interest based popularity score of the content item for each content item in the group of user interest clusters.

Abstract: Disclosed herein are various embodiments, for a content display and clustering system. An example embodiment operates by receiving a request to display the plurality of content items. At each of multiple levels different pairs of content items are identified and a similarity score is computed for each pair. A subset of pairs for which their similarity score exceeds a similarity threshold for the respective level are identified and clustered. This process is repeated for one or more iterations at the same level, and then the process is repeated for each of the multiple levels. A final clustered subset is identified, and output for display, responsive to the request to display the plurality of content items.

Abstract: An automated system for inspecting Petri dishes in which multiple C. elegans nematodes coexist, such that precise mobility characteristics of each individual C. elegans nematode can be extracted. The Petri dish to be monitored is moved in a controlled manner along the X, Y, and Z axes with respect to at least one movable camera that captures a high-resolution sequence of images for each C. elegans nematode, and at least one fixed camera captures a low-resolution sequence of global images that allow the entire Petri dish to be framed. The movable camera is mounted on a movable head in order to move along the Z axis, enabling focusing, and the fixed camera is mounted on a movable trolley, together with the Petri dish, in order to move along the X and Y axes.

Abstract: Methods, apparatus, and systems are provided for detecting and removing microplastics from wastewater effluent. Both, automatic/remote and manual monitoring and sampling components are included to detect the presence of microplastics. The automatic monitoring and sampling component includes a TSS sensor and associated apparatus calibrated to account for non-plastic solids present in the wastewater and, thereby, more accurately determine the presence of microplastics. Efficient separation and removal of microplastics from wastewater effluent is performed by a specialized capture net apparatus having multiple sized mesh components and optional diffuser devices which perform size exclusion filtration of microplastics from the water.

Abstract: The present invention relates to compounds of formula (I) for use in preventing and/or treating cancer.

Abstract: The present disclosure provides polyoxazoline (POx) copolymers which exhibit very high affinity for calcium ions, are capable of forming hydrogels and are bioresorbable. The polyoxazoline copolymers comprise at least 20 oxazoline units, including at least 4 non-terminal oxazoline units that contain a calcium binding group. Methods of making such polyoxazoline copolymers and using them in biomedical applications are also provided.

Abstract: A coating system configured to be applied to a thermal barrier coating of an article includes an infiltration coating configured to be applied to the thermal barrier coating. The infiltration coating infiltrates at least some pores of the thermal barrier coating. The infiltration coating decomposes within the at least some pores of the thermal barrier coating to coat a portion of the at least some pores of the thermal barrier coating. The infiltration coating reduces a porosity of the thermal barrier coating. The coating system also includes a reactive phase spray formulation coat configured to be applied to the thermal barrier coating. The reactive phase spray formulation coating reacts with dust deposits on the thermal barrier coating.