Abstract: A module motor is provided, including a base, a holder, a driver assembly, and a housing. The housing is formed with an accommodation cavity having an opening. The holder and the driver assembly are disposed in the accommodation cavity, the driver assembly is connected between the holder and the base, and the driver assembly is configured to drive the holder to move relative to the base in a direction perpendicular to the base. The housing is provided with a stop structure, the stop structure includes a connection part and a first stop part, the connection part and the first stop part are of an injection-molding integrated structure, the connection part is embedded in a through hole, and the first stop part extends into the accommodation cavity. A hardness of the stop structure is greater than or equal to a shore hardness of 20.

Abstract: Provided herein are antibodies, masked antibodies (e.g., activatable antibodies), and antigen-binding fragments that target human CD47, polynucleotides encoding the same, therapeutic compositions thereof, and their use to treat CD47-positive diseases such as cancer. The masked antibodies described herein may comprise an IgG1 Fc region.

Abstract: New data class generation is provided. A dimension score is generated for each respective dimension of a plurality of predefined dimensions as relating to column attributes of a data asset while performing a static reference data analysis of the data asset. The dimension score of each respective dimension is added together to obtain a total dimension score for the data asset. It is determined whether the total dimension score of the data asset is greater than a predefined minimum dimension score threshold level. The data asset is identified as new static reference data in response to determining that the total dimension score of the data asset is greater than the predefined minimum dimension score threshold level. A new data class is generated based on the new static reference data.

Abstract: The disclosure provides a light-emitting device and a displayer. Herein, the light-emitting device includes a substrate, a light-emitting chip, a first light-transmitting layer, a second light-transmitting layer and a nano coating. The light transmittance of the second light-transmitting layer is greater than the light transmittance of the first light-transmitting layer. A reference surface corresponding to the light-emitting chip is arranged above the substrate, and the reference surface is higher than the bottom surface of the light-emitting chip and not higher than the top surface of the light-emitting chip. The first light-transmitting layer covers the surface of the light-emitting chip below the reference surface, and the second light-transmitting layer covers the surface of the light-emitting chip above the reference surface. The nano coating covers the outer surface of the first light-transmitting layer, the outer surface of the second light-transmitting layer and the side surface of the substrate.

Abstract: The present disclosure provides a reversing valve, including a valve body, an end cover and a welding groove, an end portion of the valve body is a connecting end; the end cover includes a cover body, a cone, and a cylinder, an end with a small outer diameter of the cone is connected with the cover body, an end with a large outer diameter of the cone is connected with the cylinder, both the cone and the cylinder are inserted into the connecting end; and the welding groove includes a first groove section and a second groove section that are mutually communicated, the first groove section is located between the outer wall of the cone and the inner wall of the connecting end, and the second groove section is located between the outer wall of the cylinder and the inner wall of the connecting end.

Abstract: An LED display device array includes a substrate, at least two display units disposed on the upper surface of the substrate, and pin assemblies disposed on the lower surface of the substrate and in one-to-one correspondence with the at least two display units, a cutting line is disposed on the substrate between any two adjacent pin assemblies. Each of the pin assemblies includes at least two pins, and the at least two pins are a first pin and a second pin separately. A first pin in a pin assembly is misaligned with a second pin in an adjacent pin assembly, and the first pin and the second pin are connected to each other by a connecting wire. The connecting wire has a linear connecting segment, and the connecting segment of the connecting wire intersects with the cutting line and is perpendicular to the cutting line.

Abstract: A charging device for wearable device and wearable device assembly is provided. The charging device comprises: a power source module; a controller that is in communication with the power source module; a switch charger electrically connected to the power source module and adapted to receive a voltage output from the power source module and provide a voltage output to charge a battery in the wearable device via a power connection between the charging device and the wearable device. The wearable device assembly comprises: a charging device; a wearable device comprising a battery, wherein the charging device is adapted to charge the battery of the wearable device via a power connection between the charging device and the wearable device.

Abstract: An approach is disclosed that receives a new ETL job. The job includes a number of intermediate database files descriptors corresponding to a plurality of intermediate database files that are used to accomplish the new ETL. A new data lineage graph is created that pertains to the new ETL job. The new data lineage graph is compared to a number of existing data lineage graphs with each of the existing data lineage graphs corresponding to an existing ETL job. The approach substitutes existing database files found in the existing data lineage graphs for one or more intermediate database files found in the new data lineage graph. The new ETL job is then run by utilizing the substituted database files, the result being a new final database file.

Abstract: A charging device for wearable device and a wearable device assembly are provided. The charging device comprises: a power source; a DC-DC converter electrically connected to the power source, and adapted to receive input from the power source and provide a voltage output; a controller that is in communication with the DC-DC converter; a linear charger electrically connected to the DC-DC converter and adapted to receive the voltage output from the DC-DC converter and provide a voltage output to charge a battery in the wearable device via a power connection between the charging device and the wearable device. The wearable device assembly comprises: a charging device; a wearable device comprising a battery, wherein the charging device is adapted to charge the battery of the wearable device via a power connection between the charging device and the wearable device.

Abstract: Performing a mutual exclusion data class analysis is provided. A data class group of a plurality of data class groups that a matching data class is a member of is identified. The matching data class matches data in a plurality of rows of a column in a data asset. Data classes included in the data class group that the matching data class is a member of are identified. A mutual exclusion data class is filtered from the data class group to form a filtered data class group for the column. The filtered data class group is run against the column of the data asset decreasing processing time and resource utilization of a computer.

Abstract: A display module includes a substrate, m rows and n columns of pad sets, m*n sets of light emitting chip sets and multiple pins. The substrate includes a first surface and a second surface disposed opposite to each other. Each set of pad sets among the m rows and n columns of pad sets includes three pairs of pads, and first pads in the each set of pad sets are electrically connected. In a same set of light emitting chips, each of first electrodes of the light emitting chips is connected to a respective one of first pads of one set of pad sets among the m rows and n columns of pad sets, and each of second electrodes of the light emitting chips is connected to a respective one of second pads of a same set of pad sets.

Abstract: Systems and methods are provided for automated classification of data using fingerprints. In embodiments, a method includes: generating, by a computing device based on predetermined rules, a fingerprint of a data column in a data set to be classified, the fingerprint comprising dimensions, wherein each of the dimension is assigned an attribute representing a characteristic of data in the data column; determining, by the computing device, that the fingerprint matches one or more target fingerprints by comparing the fingerprint to the target fingerprints, wherein each target fingerprint is associated with a class and includes dimensions, and each dimension is assigned an attribute representing a characteristic of data in the class; and assigning, by the computing device, one or more classes to the data column based on the one or more target fingerprints, thereby generating classified data.

Abstract: A LED display unit group includes a substrate and an electronic device, where the substrate includes a pad layer, an ink layer and an identification structure, the pad layer is disposed on a first surface of a side of the substrate adjacent to the electronic device; the pad layer includes pad regions and a non-pad region, each of the pad regions includes multiple pads, and the non-pad region includes metal traces; and the ink layer is disposed above the pad layer; each of the multiple pads is configured to secure the electronic device and is electrically connected to the electronic device; the metal traces are configured to connect the multiple pads via the metal traces; and an orthographic projection of the identification structure on the substrate is partially overlapped or staggered with an orthographic projection of the pad regions on the substrate.

Abstract: An earbud assembly includes a charging case and at least one wireless earbud suitable to be stowed in the charging case. The charging case includes a battery, a charger electrically connected to the battery, a sensor configured to detect the opening and closing operations of the charging case, a battery status indicator that has a first state when the battery of the charging case is in a normal working condition and a second state when the battery of the charging case is exhausted. The earbud includes a processor and a status detector for detecting the state of the battery status indicator when the earbud is stowed in the charging case. The processor of the earbud is configured to power off the earbud when the status detector detects that the battery status indicator is in the second state.

Abstract: An approach is provided that retrieves fingerprint configuration sets corresponding to a received data source and uses the configuration sets to generate fingerprints that correspond to the data source. These fingerprints are compared to a number of fingerprints that are stored in a repository. If a match is found, then the data quality configuration set is retrieved from the repository and used to perform a data quality analysis. On the other hand, if a match is not found, then one of the configuration sets is selected to perform the data quality analysis on the received data source and the repository is updated so that the selected fingerprint configuration set corresponds to the received data source.

Abstract: A computer-implemented method for correcting artifacts within CT images of a subject includes providing iteratively correcting a CT volumetric image with a high-contrast mask by overpainting the high-contrast mask within CT volumetric image set by evaluating a model function and updating the CT projections to reflect the overpainting using a gradient descent based on previous overpainted CT projections, back-projecting the corrected CT projections to produce a corrected volumetric image set, and comparing the corrected CT volumetric image set against a previous corrected CT volumetric image set until convergence. The original voxels overpainted by the high-contrast mask are re-inserted into the converged CT volumetric image to produce the final CT volumetric image set.

Abstract: Performing a mutual exclusion data class analysis is provided. A data class group of a plurality of data class groups that a matching data class is a member of is identified. The matching data class matches data in a plurality of rows of a column in a data asset. Data classes included in the data class group that the matching data class is a member of are identified. A mutual exclusion data class is filtered from the data class group to form a filtered data class group for the column. The filtered data class group is run against the column of the data asset decreasing processing time and resource utilization of a computer.

Abstract: A True Wireless System (TWS)headphone is provided, which comprises a charging case and one or two earbuds. The earbuds may be attached into the charging case by a two pogo pin connector. The earbuds can detect the different status of the battery in the charging case via the two pogo pin connector and can auto power on or off accordingly when taken out or put into the charging case.

Abstract: Systems and methods are provided for automated classification of data using fingerprints. In embodiments, a method includes: generating, by a computing device based on predetermined rules, a fingerprint of a data column in a data set to be classified, the fingerprint comprising dimensions, wherein each of the dimension is assigned an attribute representing a characteristic of data in the data column; determining, by the computing device, that the fingerprint matches one or more target fingerprints by comparing the fingerprint to the target fingerprints, wherein each target fingerprint is associated with a class and includes dimensions, and each dimension is assigned an attribute representing a characteristic of data in the class; and assigning, by the computing device, one or more classes to the data column based on the one or more target fingerprints, thereby generating classified data.