Abstract: Disclosed by the present invention are an aqueous polyurethane functional mask substrate and an application thereof. Two kinds of water-based polyurethane dispersions are used as the main components of the mask substrate. The transdermal penetration and absorption of functional ingredients such as whitening, moisturizing and anti-aging ingredients in facial mask products are promoted by means of the special cross-linked structures of polyurethane films. During use, a mask is evenly applied to the face; and after the mask dries, the entire mask may be removed directly or removed after being moistened using water. The mask substrate according to the present invention is also applicable to body masks such as a hand mask, a neck mask and a back mask.

Abstract: According to implementations of the present disclosure, there is proposed a solution for analyzing a data table in response to a user input. In this solution, a user input in a cell of a data table is determined. The data table comprises a plurality of cells arranged in rows and columns. An analysis operation for the data table is determined based on semantics of the data table and the user input, the analysis operation corresponding to the user input. Further, a result of the analysis operation is presented in a region of the data table related to the cell. In this way, grid characteristics of the data table can be utilized to provide the result of the analysis operation as desired by a user and simple, efficient and user-friendly data analysis can be facilitated.

Abstract: Described are a method for suppressing overshoot of an output voltage or output current, a charging device, and a medium. The method for suppressing the overshoot of the output voltage or output current includes the following. A loop in an open-loop state in a closed-loop control circuit is determined. A wave-sending control value output by the closed-loop control circuit at a present beat is obtained. The wave-sending control value output at the present beat is assigned to an open-loop output value at the present beat, where the open-loop output value is an output value of the loop in the open-loop state. An open-loop output value of a loop in the open-loop state at a next beat is calculated by using an assigned open-loop output value at the present beat.

Abstract: Provided are a terminal protection device and a battery module. The terminal protection device includes a base having a bottom portion and side plates connected to peripheral sides of the bottom portion, the side plates and the bottom portion together form an accommodation cavity, and an input port is in communication with the accommodation cavity; each of the side plates is provided with an input port, through which an output electrode passes; each of the side plates is further provided with a connection port, the connection port is in communication with the accommodation cavity such that an external electric connector can pass through the connection port) and be connected to the output electrode; and a protection plate is provided at the connection port, and the protection plate detachably covers the connection port.

Abstract: A computing apparatus of an insight interfacing system receives from a user a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure. Insights are received based on the received request then presented on a display device. Also, a chart may be presented based on the received request. The computing apparatus receives a selection of at least a portion of the presented one or more insights or a portion of the chart, then receives contextual insights based on the selected portion and presents the contextual insights on the display device.

Abstract: According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for training and implementing pipeline error detection models to facilitate automated detection of data quality (DQ) issues within recurring data pipelines. For example, systems described herein involve training a pipeline error detection model by first constructing a plurality of DQ constraints for a recurring data pipeline based on ranges of values observed over a history of pipeline executions. The systems may further train the model to predict DQ issues by synthetically applying data variants to historical executions of the recurring data pipeline or to data pipelines having similar characteristics thereto. Once trained, the pipeline error detection model(s) can be applied to new executions of the data pipeline as they become available to quickly and efficiently predict whether a given execution includes a predicted DQ issue therein.

Abstract: A computing apparatus of an insight interfacing system receives from a user a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure. Insights are received based on the received request then presented on a display device. Also, a chart may be presented based on the received request. The computing apparatus receives a selection of at least a portion of the presented one or more insights or a portion of the chart, then receives contextual insights based on the selected portion and presents the contextual insights on the display device.

Abstract: In accordance with the implementations of the subject matter described herein, there is provided a solution for reusing infographics. In this solution, a group of visual element units is determined from a visual element set comprised in the original infographic. A visual element unit in the group represents an information item in the original infographic. A first correlation between a visual element contained in the visual element unit and the information item and a second correlation between the visual element unit and a further visual element unit in the group are determined. A description for the original infographic is generated based on the first and second correlations. A target infographic is generated by updating the group of visual element units at least based on the description and the target information. In this way, infographics can be converted into reusable templates, thereby simplifying reuse of such infographics and improving user experience.

Abstract: According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.

Abstract: Provided are a terminal protection device and a battery module. The terminal protection device includes a base having a bottom portion and side plates connected to peripheral sides of the bottom portion, the side plates and the bottom portion together form an accommodation cavity, and an input port is in communication with the accommodation cavity; each of the side plates is provided with an input port, through which an output electrode passes; each of the side plates is further provided with a connection port, the connection port is in communication with the accommodation cavity such that an external electric connector can pass through the connection port) and be connected to the output electrode; and a protection plate is provided at the connection port, and the protection plate detachably covers the connection port.

Abstract: Implementations of the subject matter described herein relate to generating animated infographics from static infographics. A computer-implemented method comprises: extracting visual elements of a static infographic; determining, based on the visual elements, a structure of the static infographic at least indicating a layout of the visual elements in the static infographic; and applying a dynamic effect to the visual elements based on the structure of the static infographic to generate an animated infographic.

Abstract: A computing device running a tool for visually exploring datasets receives a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure and in response to receiving a user selection of a data point associated with the dataset, presents a visualization of the calculations associated with the selected data point. The tool allows the user to select one of the calculations, thus causing presentation of a visualization of the selected calculation. A semantic graphical feature is incorporated into the visualization of the selected calculation depending upon a type of the calculation.

Abstract: The present application relates to a battery module, a battery pack, a device, and a method for manufacturing a battery module. The battery module includes: a battery unit including a first total output electrode and a second total output electrode, the battery unit includes more than two battery assemblies arranged side by side and connected in series with each other; each of the battery assembles includes at least one secondary battery; a first output pole piece including a first connection portion connected to the first total output electrode, an intermediate connection portion, and a first output portion, the intermediate connection portion is connected to a side of the first connection portion close to the accommodation gap; a second output pole piece including a second connection portion connected to the second total output electrode and a second output portion.

Abstract: Implementations of the subject matter described herein relate to conversational data analysis. After a data analysis request is received from a user, heuristic information may be determined based on the data analysis request. The heuristic information mentioned here is not a result for the data analysis request but information which may be used for leading the conversation to proceed. Based on such heuristic information, the user may provide supplementary information associated with the data analysis request, for example, clarify meaning of the data analysis request, submit a relevant further analysis request, and so on. A really desired and meaningful data analysis result can be provided to the user according to the supplementary information provided by the user. Thus, data analysis will become more accurate and effective. While obtaining really helpful information, the user also gains good user experience.

Abstract: A computing device running a tool for visually exploring datasets receives a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure and in response to receiving a user selection of a data point associated with the dataset, presents a visualization of the calculations associated with the selected data point. The tool allows the user to select one of the calculations, thus causing presentation of a visualization of the selected calculation. A semantic graphical feature is incorporated into the visualization of the selected calculation depending upon a type of the calculation.

Abstract: A computing device running a tool for visually exploring datasets receives a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure and in response to receiving a user selection of a data point associated with the dataset, presents a visualization of the calculations associated with the selected data point. The tool allows the user to select one of the calculations, thus causing presentation of a visualization of the selected calculation. A semantic graphical feature is incorporated into the visualization of the selected calculation depending upon a type of the calculation.

Abstract: Implementations of the subject matter described herein relate to conversational data analysis. After a data analysis request is received from a user, heuristic information may be determined based on the data analysis request. The heuristic information mentioned here is not a result for the data analysis request but information which may be used for leading the conversation to proceed. Based on such heuristic information, the user may provide supplementary information associated with the data analysis request, for example, clarify meaning of the data analysis request, submit a relevant further analysis request, and so on. A really desired and meaningful data analysis result can be provided to the user according to the supplementary information provided by the user. Thus, data analysis will become more accurate and effective. While obtaining really helpful information, the user also gains good user experience.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for data embedding and data extraction in images. To perform data embedding, a target region for data embedding is determined from a source image, such as a chart image. Target data to be embedded is converted into a sequence of logical values represented in a predetermined format. Based on the sequence of logical values, image values of one or more image elements in the target region are changed such that the changed image values in the target region can be used to convey the sequence of logical values corresponding to the target data. The variations in image values are within a predetermined range such that no significant data distortion of perception distortion is caused by the data embedding. In a subsequent process, the embedded data can also be easily extracted from the image for use.

Abstract: According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.