Abstract: Methods for displaying a virtual shopping experiences provide for an efficient and intuitive user experience. In some embodiments, a computer-generated environment can include a virtual product display that includes one or more representations of products. In some embodiments, the computer-generated environment can include stations that provide additional information associated with a respective product. In some embodiments, a user is able to customize a respective product, for example, by selecting an accessory and dragging the accessory to a representation of the respective product. In some embodiments, a user is able to preview a product by placing a representation of the product on a representation of a portion of the user's body.

Abstract: A method for selecting patterns for training a model to predict patterns to be printed on a substrate. The method includes (a) obtaining images of multiple patterns, wherein the multiple patterns correspond to target patterns to be printed on a substrate; (b) grouping the images into a group of special patterns and multiple groups of main patterns; and (c) outputting a set of patterns based on the images as training data for training the model, wherein the set of patterns includes the group of special patterns and a representative main pattern from each group of main patterns.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: The present invention provides a method for preparing an additive-free cell-wall-broken granule of a Chinese medicinal material. The cell-wall-broken granule is obtained by medicinal material concocting and grinding, first cell-wall-breaking and grinding, screening, second wall-breaking and grinding, mixing, pelleting, and granulating and sieving. The obtained granule has a moderate tightness, a relatively rapid dissolution and diffusion and a good uniformity, overcoming problems of a difficulty of dissolution and diffusion and a poor uniformity of the existing cell-wall-broken granules.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: A method of hot spot ranking for a patterning process. The method includes obtaining (i) a set of hot spots of a patterning process, (ii) measured values of one or more parameters of the patterning process corresponding to the set of hot spots, and (ii) simulated values of the one or more parameters of the patterning process corresponding to the set of hot spots; determining a measurement feedback based on the measured values and the simulated values of the one or more parameters of the patterning process; and determining, via simulation of a process model of the patterning process, a ranking of a hot spot within the set of hot spots based on the measurement feedback.

Abstract: Provided are a pixel structure, a mask, and a display device. The pixel structure includes a plurality of pixel groups arranged in an array. Each of the pixel groups includes a first pixel sub-group and a second pixel sub-group disposed adjacent to each other in a first direction. Each of the first pixel sub-group and the second pixel sub-group includes sub-pixels of three different colors, and each of the first pixel sub-group and the second pixel sub-group includes at least two sub-pixels having a same color and arranged consecutively.

Abstract: In accordance with an embodiment, described herein is a system and method for providing a test manager for use with a mainframe rehosting platform. The test manager can run in a web server and is accessed through a web browser to run testing on multiple test machines. The test manager can be configured to automatically discover test units from a deployed migrated application and its artifacts, and organize the discovered test units into various test plans. The test manager can be used to capture a baseline from an online execution against a mainframe platform at the network data stream layer, and to drive both execution against the rehosting platform and automated comparison of the results. The test manager can further be configured to execute batch jobs against both the mainframe platform and the rehosting platform and compare the results from both platforms, to determine if the batch jobs results match.

Abstract: In accordance with an embodiment, described herein is a system and method for providing a test manager for use with a mainframe rehosting platform. The test manager can run in a web server and is accessed through a web browser to run testing on multiple test machines. The test manager can be configured to automatically discover test units from a deployed migrated application and its artifacts, and organize the discovered test units into various test plans. The test manager can be used to capture a baseline from an online execution against a mainframe platform at the network data stream layer, and to drive both execution against the rehosting platform and automated comparison of the results. The test manager can further be configured to execute batch jobs against both the mainframe platform and the rehosting platform and compare the results from both platforms, to determine if the batch jobs results match.

Abstract: In accordance with an embodiment, described herein is a system and method for dynamically converting data manipulation language (DML) code embedded in a mainframe application rehosted in a mainframe rehosting platform. The DML code can include SQL scripts with SQL statements, and standalone SQL statements for accessing a source database in a mainframe computer. The DML code can be converted programmatically and immediately before the DML code is to be executed during the execution of the rehosted mainframe application. A database access script converter in an application runtime of the mainframe rehosting platform can load a database schema of a target database and a set of conversion rules, parse the rehosted mainframe application to identify the DML code, and convert each SQL statement based on one or more conversion rules and the database schema, for execution against the target database.

Abstract: An angiosperm index-1 and an angiosperm index-2 are correlated to an age of a liquid hydrocarbon sample and can be used to distinguish oil age of Late Cretaceous (100-65 million years before present, or 100-65 Ma BP) vs. Paleogene (65-55 Ma BP) vs. Eocene or younger (<55 Ma BP). This method improves over existing methods that cannot distinguish oil age between Late Cretaceous and Miocene (ca. 100-5 Ma BP).

Abstract: The present invention provides a method for preparing an additive-free cell-wall-broken granule of a Chinese medicinal material. The cell-wall-broken granule is obtained by medicinal material concocting and grinding, first cell-wall-breaking and grinding, screening, second wall-breaking and grinding, mixing, pelleting, and granulating and sieving. The obtained granule has a moderate tightness, a relatively rapid dissolution and diffusion and a good uniformity, overcoming problems of a difficulty of dissolution and diffusion and a poor uniformity of the existing cell-wall-broken granules.

Abstract: Frames of a video frame sequence capturing one or more skin regions of a body are provided to a first neural network. The first neural network generates respective appearance representations based on the frames. An appearance representation generated based on a particular frame is indicative of a spatial distribution of a physiological signal across the particular frame. Simultaneously with providing the frames to the first neural network, the frames are also provided to a second neural network. The second neural network determines the physiological signal based on the frames. Determining the physiological signal by the second neural network includes applying the appearance representations, generated by the first neural network, to outputs of one or more layers of the second neural network to emphasize regions, in the frames, that exhibit relatively stronger presence of the physiological signal and deemphasize regions, in the frames, that exhibit relatively weaker presence of physiological signal.

Abstract: A lock, including an outer subassembly, an inner subassembly, a safety mechanism, and a clutch. The clutch includes a square transmission tube and a sub-clutch. The safety mechanism includes a brake rod and a drive device. The inner subassembly includes an inner baffle plate, an inner baffle plate cover, a cylindrical tube, a transmission frame, and an inner doorknob. The inner baffle plate is inserted in the inner baffle plate cover. The cylindrical tube fits rotations of the inner baffle plate and the inner baffle plate cover. The transmission frame is disposed at one end of the cylindrical tube, and the inner doorknob is disposed at the other end of the cylindrical tube. The drive device includes a transmission member, a drive member, a first spring, a second spring, and a positioning slot. The positioning slot is disposed on the cylindrical tube.

Abstract: In accordance with an embodiment, described herein is a system and method for merging a mainframe data file to a target table in a database used by a mainframe rehosting platform. A plurality of programs can be generated by the mainframe rehosting platform based on the target table and the mainframe data file. The generated programs can be used to create in the database an empty temporary table that has the same structure as that of the target table, to upload the mainframe data file to the empty temporary table, and to use an existing merge function in the database to merge the temporary table with the target table. When uploading the mainframe data file to the temporary table, records in the mainframe data file can be read and stored into an array, which can be inserted into the temporary table in a single insert operation.

Abstract: Compositions and methods for enriching glycocompounds are disclosed which can comprise a glycocompound bound to a boronic acid compound which can be conjugated to a dendrimer.

Abstract: Frames of a video frame sequence capturing one or more skin regions of a body are provided to a first neural network. The first neural network generates respective appearance representations based on the frames. An appearance representation generated based on a particular frame is indicative of a spatial distribution of a physiological signal across the particular frame. Simultaneously with providing the frames to the first neural network, the frames are also provided to a second neural network. The second neural network determines the physiological signal based on the frames. Determining the physiological signal by the second neural network includes applying the appearance representations, generated by the first neural network, to outputs of one or more layers of the second neural network to emphasize regions, in the frames, that exhibit relatively stronger presence of the physiological signal and deemphasize regions, in the frames, that exhibit relatively weaker presence of physiological signal.

Abstract: In accordance with an embodiment, described herein is a system and method for determining the migration success of an application (e.g., a batch application) from a second computing platform (e.g., a mainframe platform) to a first computing platform (e.g., an open platform). A first database associated with the first computing platform and a second database associated with the second computing platform can include the same data baseline. A set of triggers can be created on each database to capture database modification events generated by the execution of a job associated with the application on each computing platform, and to store the database modification events in a table in each database. The database modification events from each computing platform can be downloaded and compared to determine the success of the application migration.