Abstract: The present invention relates to a compound of Formula (I) where (II), (III), R1, R2, R3, R4, R5, Q, and Z are as described herein and compositions containing this compound. The present invention also relates to a methods of making a compound of Formula (I) and methods of using one or more of these compounds as a thermal-storage material thermal-storage device and. Methods of storing energy are also described.

Abstract: The present disclosure proposes method and apparatus for query-based table visualization. A query may be obtained. At least one search result for the query may be obtained. A table may be extracted from the at least one search result. At least one chart corresponding to the table may be generated based on the query and the table.

Abstract: In one example in accordance with the present disclosure, an additive manufacturing system is described. The additive manufacturing system includes a build material deposition device to form a plastically deformable three-dimensional (3D) object by depositing layers of a thermoplastic build material to form a body of the plastically deformable 3D object. The additive manufacturing system also includes a heat channel forming device to form heat channels within the plastically deformable 3D object which heat channels, responsive to an applied stimulus, are to soften adjacent regions of the body. The additive manufacturing system also includes a fusing system to selectively harden layers of thermoplastic build material to form the plastically deformable 3D object.

Abstract: A semiconductor structures and a method for forming the same are provided. The semiconductor structure includes first nanostructures and second nanostructures spaced apart from the first nanostructures in a first direction. A left-most point of the first nanostructures and a left-most point of the second nanostructures has a first distance in the first direction. The semiconductor structure further includes first source/drain features attached to opposite sides of the first nanostructures in a second direction being orthogonal to the first direction and third nanostructures and fourth nanostructures spaced apart from the third nanostructures in the first direction. A left-most point of the third nanostructures and a left-most point of the fourth nanostructures has a second distance in the first direction. In addition, the third nanostructures are wider than the first nanostructures in the first direction, and the first distance is smaller than the second distance.

Abstract: Please replace the abstract originally filed with the following: A display panel and a display device. Because the pixel distribution density in a second display subarea (A12) is lower than that in a first display subarea (A11), the quantities of sub-pixels (pix) connected to scanning lines are not completely the same; a sub-pixel row having the greatest quantity of sub-pixels (pix) in the display panel is taken as a reference sub-pixel row, the quantity of the sub-pixels (pix) of the reference sub-pixel row is taken as a reference value, a sub-pixel row having the quantity of sub-pixels (pix) smaller than the reference value is taken as a compensation sub-pixel row, and a scanning line connected to the compensation sub-pixel row is taken as a first scanning line; the display panel is provided with load compensation units corresponding to at least part of the first scanning lines, and the load compensation units are located in the second display subarea.

Abstract: Implementations of the present disclosure provide a solution for spreadsheet table transformation. In this solution, one or more header areas and a data area of a spreadsheet table are detected. A hierarchical structure of each of the header areas is determined by analysis of cell merging and/or indents in the header area, and/or a function relationship between data items in corresponding cells of the data area. The spreadsheet table can be transformed to a relational table based on recognition of the hierarchical structure of the header area. In this way, by facilitating understanding of header structures based on the header hierarchy, it is possible to achieve automated transformation from spreadsheet tables to relational tables.

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: A method of controlling an extreme ultraviolet (EUV) lithography system is disclosed. The method includes irradiating a target droplet with EUV radiation, detecting EUV radiation reflected by the target droplet, determining aberration of the detected EUV radiation, determining a Zernike polynomial corresponding to the aberration, and performing a corrective action to reduce a shift in Zernike coefficients of the Zernike polynomial.

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: A solution for spreadsheet table transformation is provided. In this solution, one or more header areas and a data area of a spreadsheet table are detected. A hierarchical structure of each of the header areas is determined by analysis of cell merging and/or indents in the header area, and/or a function relationship between data items in corresponding cells of the data area. The spreadsheet table can be transformed to a relational table based on recognition of the hierarchical structure of the header area. In this way, by facilitating understanding of header structures based on the header hierarchy, it is possible to achieve automated transformation from spreadsheet tables to relational tables.

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: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights form the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.

Abstract: Techniques for implementing a mixed signal feedback design for verification that reduce production and verification time by enabling piecemeal verification of components of a circuit design selectively, accurately, and exhaustively before a final, overall circuit design is completed are disclosed. Circuit nodes in an emulation model are selected and mixed signal feedback is provided to the nodes in response to signals detected at the nodes such that behavior of unavailable or unverified components to be located at the nodes can be simulated. Mixed signal feedback can be provided to the node to enable verification of the emulation model without having to wait for the unverified or unavailable components to be provided or verified. A request for manufacture may be generated including aspects of the emulation model to enable verification of a fabricated circuit in a similar or identical manner to those used to verify the emulation model.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for automatic recommendation of analysis for a dataset. In this solution, dimension feature information of dimensions of a dataset and operation feature information of candidate analysis operations are extracted. Respective metrics of candidate combinations of the dimensions and candidate analysis operations being suitable for defining an analysis pattern for the dataset are determined based on the dimension and operation feature information. The analysis pattern comprises at least one dimension to be analyzed and at least one analysis operation to be performed on the at least one dimension. A recommendation on an analysis pattern for the dataset is provided based on the determined respective metrics, to indicate a candidate combination. In this way, it is possible to assess and provide a suitable analysis pattern for a given dataset, thereby facilitating quick completion of the data analysis task.

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: A method including: providing a design data of an integrated circuit (IC), the design data comprising a first cell; identifying a first conductive line in the first cell as a critical internal net of the first cell, wherein the first conductive line is electrically connected between an input terminal of the first cell and an output terminal of the first cell; providing a library of the first cell, wherein the library includes a table of timing or power parameters of the first cell based on a multidimensional input set associated with the critical internal net; updating the design data by determining a timing or power value of the first cell based on the table; performing a timing analysis on the updated design data; and forming a photomask based on the updated design data.

Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights form the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.

Abstract: The subject matter described herein relates to table detection in a spreadsheet. According to implementations of the subject matter described herein, there is proposed a solution for determining a table in a spreadsheet. In the solution, respective multiple attributes of multiple cells comprised in the spreadsheet may be extracted. Respective features of the multiple cells may be determined based on the extracted multiple attributes. The multiple cells may be divided into at least one candidate area based on the features. At least one candidate table in the spreadsheet may be determined based on the at least one candidate area. By means of the solution, respective features of the multiple cells comprised in the spreadsheet may be determined based on the respective attributes of the multiple cells, and further, a candidate region where a table might exist may be determined based on the respective features of the multiple cells.

Abstract: A solution for spreadsheet table transformation is provided. In this solution, one or more header areas and a data area of a spreadsheet table are detected. A hierarchical structure of each of the header areas is determined by analysis of cell merging and/or indents in the header area, and/or a function relationship between data items in corresponding cells of the data area. The spreadsheet table can be transformed to a relational table based on recognition of the hierarchical structure of the header area. In this way, by facilitating understanding of header structures based on the header hierarchy, it is possible to achieve automated transformation from spreadsheet tables to relational tables.