Abstract: A lost circulation detection device includes a first detection member and a second detection member, a first signal transmitter and a first signal receiver are disposed on the first detection member, and the first signal transmitter transmits a signal along an axial direction of a rockshaft so that the first signal receiver acquires data information of drilling fluid in the axial direction of the rockshaft; a fluid channel penetrating through the second detection member is disposed in the second detection member, and the fluid channel is configurable to be in communication with the rockshaft; a second signal transmitter and a second signal receiver are disposed oppositely on two sides of the fluid channel, and the second signal transmitter transmits a signal along a center line of a second accommodating groove, so that the second signal receiver acquires data information of drilling fluid in a circumferential direction of the rockshaft.

Abstract: A wearable passive sweat detection device includes at least one detection sensor that includes: a base plate; a sensing element provided on the base plate, the sensing element including a sweat collection portion and a sweat self-driven detection portion, the sweat collection portion being configured to collect sweat discharged by sweat glands of skin, the sweat self-driven detection portion including a guide portion of a semi-conical structure, a test electrode provided on an outer conical surface of the guide portion, and a back electrode, and a narrow end of the guide portion facing the sweat collection portion; and a test element connected with the test electrode and back electrode. The adoption of the conical structure achieves a liquid-solid friction effect to realize passive detection of sweat components; meanwhile, flexibility is realized to facilitate wearing; by using different ion selective films, different ion concentrations can be detected; detection precision is high.

Abstract: Techniques described herein perform implement a query using a synthetic time series (STS), for example applying an STS on time series data to obtain an answer to the query. In an embodiment, a method receives a times series and query relating to the time series. The method translates the query into a synthetic time series. The method executes a reduce operation on the STS and the time series. The method then returns the result of the operation as an answer to the query. A result of the reduce operation is returned as an answer to the query.

Abstract: The present disclosure provides an array substrate, a method for manufacturing the array substrate, and a display apparatus. The array substrate includes: a base substrate, a thin film transistor disposed on the base substrate; a first passivation layer, an organic film layer and a pixel electrode disposed on the thin film transistor; a connection structure for connecting the source electrode of the thin film transistor and the pixel electrode, wherein the connection structure is disposed in a via hole structure exposing the pixel electrode and the source electrode; or, the connection structure is disposed between the pixel electrode and the source electrode.

Abstract: In a computer-implemented method for generating a recommendation for automatic transformation of times series data at ingestion, historical query data of a time series data monitoring system is analyzed, where the historical query data includes a plurality of queries and data associated with execution of the plurality of queries. Based on the analyzing, it is determined whether an execution cost of a query of the plurality of queries can be reduced by performing automatic transformation of at least a portion of times series data accessed responsive to the query at ingestion into the time series data monitoring system. In response to determining that the execution cost of the query can be reduced by performing automatic transformation at ingestion, a recommendation to perform the automatic transformation of the at least a portion of the times series data at ingestion is generated.

Abstract: In a computer-implemented method for automatic transformation of time series data at ingestion, time series data comprising data points is received at at least one ingestion node of a time series data monitoring system, wherein the data points have an input observability format. At the at least one ingestion node, the data points the data points are transformed from the input observability format to an output observability format according to configuration rules of the time series data monitoring system. The data points having the output observability format are forwarded from the at least one ingestion node to a persistent storage device.

Abstract: The preset disclosure provides an array substrate and a method for manufacturing the same, a display panel and a display device. The array substrate includes: a base substrate; data lines and pixel electrodes located on the base substrate, and a light shielding structure located on a side of the data lines close to the base substrate, orthographic projections of the gaps on the base substrate are located within an orthographic projection of the light shielding structure on the base substrate, and the light shielding structure includes a metal layer and a first transparent layer located on a side of the metal layer away from the base substrate.

Abstract: A method for generating a dynamic graph representation includes receiving time series data, receiving a specification of a relationship between nodes connected by one or more edges in a graph representation to be generated for at least a portion of the time series data, and receiving an identification of a query of the time series data included in a specification of an element of the graph representation. The method further includes executing the query of the times series data, and updating a property of the graph representation using a result of the execution of the query.

Abstract: The preset disclosure provides an array substrate and a method for manufacturing the same, a display panel and a display device. The array substrate includes: a base substrate; data lines and pixel electrodes located on the base substrate, and a light shielding structure located on a side of the data lines close to the base substrate, orthographic projections of the gaps on the base substrate are located within an orthographic projection of the light shielding structure on the base substrate, and the light shielding structure includes a metal layer and a first transparent layer located on a side of the metal layer away from the base substrate.

Abstract: In various embodiments, a method for optimizing data storage includes receiving an input data stream, where each data record received in the data stream is tagged with a group of one or more tags. The method further includes, for each data record of data records that have been received in the data stream, using the group of one or more tags of the corresponding data record to update a data structure tracking coexistence implications of tags that have been observed together in the groups of tags of the data records. The method further includes using the data structure tracking coexistence implications of tags to optimize a query.

Abstract: Techniques described herein perform implement a query using a synthetic time series (STS), for example applying an STS on time series data to obtain an answer to the query. In an embodiment, a method receives a times series and query relating to the time series. The method translates the query into a synthetic time series. The method executes a reduce operation on the STS and the time series. The method then returns the result of the operation as an answer to the query. A result of the reduce operation is returned as an answer to the query.

Abstract: Techniques described herein perform high fidelity combination of data, for example combining time series data in response to a query. In an embodiment, a first input data stream of a first type (e.g., continuous), a second input data stream of a second type (e.g., discrete), and an operation to a function of and to be performed on the first and second input data streams are received. The second input data stream includes second input data stream samples associated with sample times. The techniques includes determining that at least some points in the second input data stream samples do not have synchronized samples in the first input data stream, automatically generating synchronized samples for the first input data stream, and performing the operation on the second input data stream samples and the automatically generated samples for the first input data stream.

Abstract: In various embodiments, a method for optimizing data storage includes receiving an input data stream, where each data record received in the data stream is tagged with a group of one or more tags. The method further includes, for each data record of data records that have been received in the data stream, using the group of one or more tags of the corresponding data record to update a data structure tracking coexistence implications of tags that have been observed together in the groups of tags of the data records. The method further includes using the data structure tracking coexistence implications of tags to optimize a query.

Abstract: The present disclosure provides methods of forming interlayer tissue cushions (e.g., submucosal cushions) using shear-thinning hydrogels comprising an anionic polysaccharide and layered silicate and subsequent use of the cushions for removing protrusions (e.g., lesions, such as polyps or tumors) from above the cushions. Further provided are uses, methods of treatment, and kits.

Abstract: Techniques described herein perform implement a query using a synthetic time series (STS), for example applying an STS on time series data to obtain an answer to the query. In an embodiment, a method receives a times series and query relating to the time series, where the query specifies a condition. The method translates the condition into a synthetic time series and an operation on: the STS and the time series. The method executes the operation on the STS and the time series. The method then returns the result of the operation as an answer to the query. In some embodiments, the execution of the operation on the STS and the time series includes reducing the STS and time series without needing to grid.

Abstract: A method and system for aggregating services is provided. The method includes receiving and processing a service request. The service request is submitted to a service catalog and dispatched to a data integration and API module. The service request is transmitted to a management module and processed with respect to a plurality of service providers. Inter process communications associated with the service request are managed. Additionally, an account associated with the service request and the plurality of service providers is managed.

Abstract: System component failure diagnosis is provided. In response to determining that a number of component failure cases corresponding to a complex system stored in a historical diagnosis database is less than a pre-defined threshold number of component failure cases, a system component failure root cause is predicted using a rule-based reasoning method. In response to determining that the number of component failure cases corresponding to the complex system is greater than or equal to the pre-defined threshold number of component failure cases, the system component failure root cause is predicted using the rule-based reasoning method and a machine learning method. The diagnosis accuracy of the system component failure root cause predicted by the rule-based reasoning method and the machine learning method is calculated using a cross-validation method. The performance of the rule-based reasoning method and the machine learning method is evaluated using a statistical process control method.

Abstract: A method and system for aggregating services is provided. The method includes receiving and processing a service request. The service request is submitted to a service catalog and dispatched to a data integration and API module. The service request is transmitted to a management module and processed with respect to a plurality of service providers. Inter process communications associated with the service request are managed. Additionally, an account associated with the service request and the plurality of service providers is managed.

Abstract: Techniques described herein perform implement a query using a synthetic time series (STS), for example applying an STS on time series data to obtain an answer to the query. In an embodiment, a method receives a times series and query relating to the time series, where the query specifies a condition. The method translates the condition into a synthetic time series and an operation on: the STS and the time series. The method executes the operation on the STS and the time series. The method then returns the result of the operation as an answer to the query. In some embodiments, the execution of the operation on the STS and the time series includes reducing the STS and time series without needing to grid.

Abstract: Techniques described herein perform high fidelity combination of data, for example combining time series data in response to a query. In an embodiment, a first input data stream of a first type (e.g., continuous), a second input data stream of a second type (e.g., discrete), and an operation to a function of and to be performed on the first and second input data streams are received. The second input data stream includes second input data stream samples associated with sample times. The techniques includes determining that at least some points in the second input data stream samples do not have synchronized samples in the first input data stream, automatically generating synchronized samples for the first input data stream, and performing the operation on the second input data stream samples and the automatically generated samples for the first input data stream.