Abstract: Example implementations are directed to systems and methods for a context aware conversational agent for self-learning. In an example implementation, a method includes generating a journaling model based on activity data and engagement data associated with one or more tasks of a user. The journaling model uses machine-learning to identify a context pattern using the activity data, and maps performance associated with the one or more tasks based at least on the engagement data. The method adaptively provides a prompt to gather additional engagement data based on the context pattern in view of real-time activity data, where the prompt is generated based on the journaling model. The journaling model is updated based on the additional engagement data.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.

Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.

Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.

Abstract: The disclosure includes a platinum-based alloy catalyst and a preparation method thereof, a membrane electrode and a fuel cell. The method for preparing the platinum-based alloy catalyst comprises the following steps: (1) preparing nano-sized alloy particles of platinum and 3d transition metal; (2) carrying out acid treatment on the alloy particles prepared in step (1); and (3) annealing the alloy particles treated in step (2). The size of the platinum-based alloy particles is controlled, an atom number ratio of platinum to transition metal in the platinum-based alloy is controlled, and then etching and dissolution of acid is combined so that an atom number ratio of platinum to transition metal is further controlled, subsequently annealing is carried out at high temperature. The prepared platinum-based alloy catalyst improves the stability and durability of the platinum-based alloy catalyst, which supports the large-scale application of the platinum-based alloy catalyst in the fuel cell.

Abstract: A fixed-wing aerial underwater vehicle includes a shell component, a flight component and a pneumatic buoyancy component. The flight component includes a fixed wing and rotors, and the fixed wing and the rotors are mounted in the shell component. The pneumatic buoyancy component includes an air bladder and an inflation and deflation portion, and the inflation and deflation portion can inflate and deflate the air bladder. The air bladder is installed on the shell component, a containing space is formed in the shell component, and the inflation and deflation portion is partially or entirely installed in the containing space. Each rotor includes a rotor supporting rod, a motor base, a motor and a propeller, which are sequentially connected. A control method for the fixed-wing aerial underwater vehicle mentioned above is further provided.

Abstract: The disclosure includes a platinum-based alloy catalyst and a preparation method thereof, a membrane electrode and a fuel cell. The method for preparing the platinum-based alloy catalyst comprises the following steps: (1) preparing nano-sized alloy particles of platinum and 3d transition metal; (2) carrying out acid treatment on the alloy particles prepared in step (1); and (3) annealing the alloy particles treated in step (2). The size of the platinum-based alloy particles is controlled, an atom number ratio of platinum to transition metal in the platinum-based alloy is controlled, and then etching and dissolution of acid is combined so that an atom number ratio of platinum to transition metal is further controlled, subsequently annealing is carried out at high temperature. The prepared platinum-based alloy catalyst improves the stability and durability of the platinum-based alloy catalyst, which supports the large-scale application of the platinum-based alloy catalyst in the fuel cell.

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

Abstract: A method of packaging pre-filled medical devices is disclosed. The method comprises producing a packaging having a front panel and a back panel defining a compartment capable of holding one or more medical devices wherein at least one of the front panel or top panel has a portion containing a gas permeable material while the remaining portion of the pouch is gas impermeable. This gas permeable material allows gas to pass through the material and contact the one or more articles contained within the compartment or allows gas to pass through the gas permeable material from the inside of the compartment to the outside of the container. Upon completion of sterilization, the pouch is sealed and the gas permeable portion is cut away leaving the sterilized medical device enclosed in a completely gas impermeable pouch.

Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.

Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.

Abstract: A microwave plasma chemical vapor deposition device for diamond synthesis. A microwave source generates a microwave signal, and a resonant cavity receives a plurality of process gases. The microwave signal is spread in a first mode at a first waveguide. A mode conversion antenna converts the first mode of the microwave signal into a second mode that is spread at a second waveguide. A coupling conversion cavity receives and transmits the microwave signal in the second mode to the mode conversion antenna thereby converting the second mode of the microwave signal into a third mode. A medium viewport receives the microwave signal in the third mode and transmits to the resonant cavity which enables the microwave signal to excite and discharge the process gases to form spherical plasma, carbon containing groups and atomic hydrogen thereby depositing a diamond film on a seed.

Abstract: A method of packaging pre-filled medical devices is disclosed. The method comprises producing a packaging having a front panel and a back panel defining a compartment capable of holding one or more medical devices wherein at least one of the front panel or top panel has a portion containing a gas permeable material while the remaining portion of the pouch is gas impermeable. This gas permeable material allows gas to pass through the material and contact the one or more articles contained within the compartment or allows gas to pass through the gas permeable material from the inside of the compartment to the outside of the container. Upon completion of sterilization, the pouch is sealed and the gas permeable portion is cut away leaving the sterilized medical device enclosed in a completely gas impermeable pouch.

Abstract: Example implementations are directed to systems and methods for a context aware conversational agent for self-learning. In an example implementation, a method includes generating a journaling model based on activity data and engagement data associated with one or more tasks of a user. The journaling model uses machine-learning to identify a context pattern using the activity data, and maps performance associated with the one or more tasks based at least on the engagement data. The method adaptively provides a prompt to gather additional engagement data based on the context pattern in view of real-time activity data, where the prompt is generated based on the journaling model. The journaling model is updated based on the additional engagement data.

Abstract: A method of packaging pre-filled medical devices is disclosed. The method comprises producing a packaging having a front panel and a back panel defining a compartment capable of holding one or more medical devices wherein at least one of the front panel or top panel has a portion containing a gas permeable material while the remaining portion of the pouch is gas impermeable. This gas permeable material allows gas to pass through the material and contact the one or more articles contained within the compartment or allows gas to pass through the gas permeable material from the inside of the compartment to the outside of the container. Upon completion of sterilization, the pouch is sealed and the gas permeable portion is cut away leaving the sterilized medical device enclosed in a completely gas impermeable pouch.

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

Abstract: A display panel includes a first substrate, a second substrate, a display medium layer, first peripheral wires, and second peripheral wires. The first substrate has at least one first side surface. The second substrate is disposed opposite to the first substrate, and has at least one second side surface adjacent to the first side surface. Each first peripheral wire includes a first signal line, a first fan-out portion, and a first pad. The first signal lines are disposed between the first substrate and the second substrate, and the first fan-out portions are disposed on the first side surface of the first substrate. Each second peripheral wire includes a second signal line, a second fan-out portion, and a second pad. The second signal lines are disposed between the first substrate and the second substrate, and the second fan-out portions are disposed on the second side surface of the second substrate.

Abstract: A display panel includes a first substrate, a second substrate, a display medium layer, first peripheral wires, and second peripheral wires. The first substrate has at least one first side surface. The second substrate is disposed opposite to the first substrate, and has at least one second side surface adjacent to the first side surface. Each first peripheral wire includes a first signal line, a first fan-out portion, and a first pad. The first signal lines are disposed between the first substrate and the second substrate, and the first fan-out portions are disposed on the first side surface of the first substrate. Each second peripheral wire includes a second signal line, a second fan-out portion, and a second pad. The second signal lines are disposed between the first substrate and the second substrate, and the second fan-out portions are disposed on the second side surface of the second substrate.