Abstract: A semiconductor device includes a first active region, a second active region and a dielectric wall. The second active region disposed adjacent to the first active region, and there is a first space between the first active region and the second active region. The dielectric wall is formed within the first space and has a first sidewall and a second sidewall opposite to the first sidewall. The first sidewall and the second sidewall opposite to the first sidewall continuously extend along a plane.

Abstract: Provided are methods for cascade camera image signal processing (ISP) tuning, which can include receiving first image data at a first time associated with a first image sensor of a camera, generating at least one tuned first ISP block parameter for at least one first ISP block based on the first image data and first tuning criterion, receiving second image data at a second time, and generating at least one tuned second ISP block parameter for at least one second ISP block based on the second image data and second tuning criterion. Some methods described also include tuning parameters of at least one ISP block of a camera after receiving tuned parameters. Some methods describe also include generating an image using ISP blocks tuned using various tuning criteria. Systems and computer program products are also provided.

Abstract: A COMBO ONU optical module circuit is provided, including a MCU control circuit, a XGSPON ONU circuit, and a GPON ONU circuit. The MCU control circuit includes three control units. The first control unit is configured to determine a transmission channel according to a signal level. The second control unit is configured to switch between a TX_SD_10G signal and a TX_SD_1G signal. The third control unit is configured to supply power to the GPONG ONU circuit using PWR_1G control or the XGSPONG ONU circuit using PWR_10G control. The first control unit is further configured to control the XGSPON ONU circuit and the GPON ONU circuit in an I2C communication mode. Under control of the first control unit, the XGSPON ONU circuit is configured to receive and emit a 10G optical signal, and the GPON ONU circuit is configured to receive and emit a2.5G optical signal.

Abstract: A semiconductor device structure, along with methods of forming such, are described. The structure includes a first source/drain epitaxial feature, a second source/drain epitaxial feature disposed adjacent the first source/drain epitaxial feature, a first dielectric layer disposed between the first source/drain epitaxial feature and the second source/drain epitaxial feature, a first dielectric spacer disposed under the first dielectric layer, and a second dielectric layer disposed under the first dielectric layer and in contact with the first dielectric spacer. The second dielectric layer and the first dielectric spacer include different materials.

Abstract: The present disclosure provides a semiconductor structure, including a substrate having a front surface, a first semiconductor layer proximal to the front surface, a second semiconductor layer over the first semiconductor layer, a gate having a portion between the first semiconductor layer and the second semiconductor layer, a spacer between the first semiconductor layer and the second semiconductor layer, contacting the gate, and a source/drain (S/D) region, wherein the S/D region is in direct contact with a bottom surface of the second semiconductor layer, and the spacer has an upper surface interfacing with the second semiconductor layer, the upper surface including a first section proximal to the S/D region, a second section proximal to the gate, and a third section between the first section and the second section.

Abstract: Semiconductor structures and the manufacturing method thereof are disclosed. An exemplary semiconductor structure according to the present disclosure includes a substrate having a p-type well or an n-type well, a first base portion over the p-type well, a second base portion over the n-type well, a first plurality of channel members over the first base portion, a second plurality of channel members over the second base portion, an isolation feature disposed between the first base portion and the second base portion, and a deep isolation structure in the substrate disposed below the isolation feature.

Abstract: A method and an apparatus for displaying an information flow on a terminal device, an electronic device, a computer-readable storage medium, and a computer program product are provided. An implementation is: in response to detecting an activation operation on an application for displaying the information flow, reproducing, on the terminal device, a first page displayed on the terminal device when the application is last switched to running in the background or closed; and in response to determining that a time interval between the activation operation and the application being last switched to running in the background or closed does not exceed a first threshold, displaying a second page as a continuation of a content entry displayed in the first page, where the second page includes at least one first content entry cached in the terminal device before the activation operation but not displayed in the first page.

Abstract: A three-level converter includes a high-voltage side unit, a low-voltage side unit, a flying capacitor, a first switch to a fourth switch, and a control unit. When a voltage of the flying capacitor falls outside a safe target voltage range, the control unit may control the third switch and the fourth switch to be normally open, and control, based on the voltage of the flying capacitor and a voltage of the low-voltage side unit, each of the first switch and the second switch to be turned on or off, so that the voltage of the flying capacitor falls within the target voltage range. Alternatively, the control unit may control the first switch and the second switch to be normally open, and control, based on the voltage of the flying capacitor and a voltage of the low-voltage side unit.

Abstract: A computer assesses language attributes of web application display text elements. The computer receives access to a selected web application. The computer parses hypertext markup language content of the web application and generating a parse tree representing the content. The computer identifies, using the parse tree, display text elements within the content and determining associated element selector queries that identify respective display text elements within the parse tree. The computer processes a set of display text elements, using a plurality of Natural Language Processing classifier models, each of the classifier models generates a relevant language prediction for the processed display text element. The computer collects, for each text element, groups of classifiers associated with substantially-similar predictions and indexed by relevant text element selector. The computer determines a target language match condition for each group.

Abstract: In a first aspect, a single layer polymer film includes 60 to 99 wt % of a crosslinked polyimide, having a gel fraction in the range of from 20 to 100% and a refractive index of 1.74 or less, and 1 to 40 wt % of a colorant. A surface of the single layer polymer film has been textured and has a maximum roughness (Spv) of 6 ?m or more, an L* color of 30 or less and a 60° gloss of 15 or less. In a second aspect, a coverlay for a printed circuit board includes the single layer polymer film of the first aspect. In third and fourth aspects, processes are disclosed for forming a single layer polymer film including a crosslinked polyimide film including a dianhydride and a diamine.

Abstract: Embodiments for providing automated machine learning visualization. Machine learning tasks, transformers, and estimators may be received into one or more machine learning composition modules. The machine learning composition modules generate one or more machine learning models. A machine learning model pipeline is a sequence of transformers and estimators and an ensemble of machine learning pipelines are an ensemble of machine learning pipelines. A machine learning model pipeline, an ensemble of a plurality of machine learning model pipelines, or a combination thereof, along with corresponding metadata, may be generated using the machine learning composition modules. Metadata may be extracted from the machine learning model pipeline, the ensemble of a plurality of machine learning model pipelines, or combination thereof.

Abstract: The present application provides a composition for inducing chondrogenesis comprising an Wnt antagonist and a pharmaceutically acceptable carrier. The present application also provides a method for inducing chondrogenesis comprising administering an Wnt antagonist and a pharmaceutically acceptable carrier to a subject. The present application further provides a method for treating a cartilage-related disease comprising administering a therapeutically effective amount of an Wnt antagonist and a pharmaceutically acceptable carrier to a subject.

Abstract: In accordance with an embodiment of the invention, a method is provided for personalizing machine learning models for users of an automated machine learning system, the machine learning models being generated by an automated machine learning system. The method includes obtaining a first set of datasets for training first, second, and third neural networks, inputting the training datasets to the neural networks, tuning hyperparameters for the first, second, and third neural networks for testing and training the neural networks, inputting a second set of datasets to the trained neural networks and the third neural network generating a third output data including a relevance score for each of the users for each of the machine learning models, and displaying a list of machine learning models associated with each of the users, with each of the machine learning models showing the relevance score.

Abstract: Embodiments for managing feature engineering with relational data are provided. A graphical user interface (GUI) that provides a user with the ability to upload a plurality of tables, select joins between the plurality of tables, and select keys for the joins is provided. Responsive to receiving user input indicative of selecting joins between the plurality of tables and selecting keys for the joins utilizing the GUI, the user selections are automatically validated and actions associated with at least some of the plurality of tables are dynamically performed based on the user selections. Information associated with the user selections and the validating is provided. The information includes a recommendation to link a third key in the at least some of the plurality of tables to a fourth key in the at least some of the plurality of tables.

Abstract: In a first aspect, a single layer polymer film includes 60 to 99 wt % of a crosslinked polyimide, having a gel fraction in the range of from 20 to 100% and a refractive index of 1.74 or less, and 1 to 40 wt % of a colorant. A surface of the single layer polymer film has been textured and has a maximum roughness (Spv) of 6 ?m or more, an L* color of 30 or less and a 60° gloss of 15 or less. In a second aspect, a coverlay for a printed circuit board includes the single layer polymer film of the first aspect. In third and fourth aspects, processes are disclosed for forming a single layer polymer film including a crosslinked polyimide film including a dianhydride and a diamine.

Abstract: In accordance with an embodiment of the invention, a method is provided for personalizing machine learning models for users of an automated machine learning system, the machine learning models being generated by an automated machine learning system. The method includes obtaining a first set of datasets for training first, second, and third neural networks, inputting the training datasets to the neural networks, tuning hyperparameters for the first, second, and third neural networks for testing and training the neural networks, inputting a second set of datasets to the trained neural networks and the third neural network generating a third output data including a relevance score for each of the users for each of the machine learning models, and displaying a list of machine learning models associated with each of the users, with each of the machine learning models showing the relevance score.

Abstract: Embodiments for managing feature engineering with relational data are provided. A graphical user interface (GUI) that provides a user with the ability to upload a plurality of tables, select joins between the plurality of tables, and select keys for the joins is provided. Responsive to receiving user input indicative of selecting joins between the plurality of tables and selecting keys for the joins utilizing the GUI, the user selections are automatically validated and actions associated with at least some of the plurality of tables are dynamically performed based on the user selections. Information associated with the user selections and the validating is provided. The information includes a recommendation to link a third key in the at least some of the plurality of tables to a fourth key in the at least some of the plurality of tables.

Abstract: Embodiments for providing automated machine learning visualization. Machine learning tasks, transformers, and estimators may be received into one or more machine learning composition modules. The machine learning composition modules generate one or more machine learning models. A machine learning model pipeline is a sequence of transformers and estimators and an ensemble of machine learning pipelines are an ensemble of machine learning pipelines. A machine learning model pipeline, an ensemble of a plurality of machine learning model pipelines, or a combination thereof, along with corresponding metadata, may be generated using the machine learning composition modules. Metadata may be extracted from the machine learning model pipeline, the ensemble of a plurality of machine learning model pipelines, or combination thereof.

Abstract: Annotating a document in a data processing system, wherein the document includes a first content section and a data structure, can include receiving a request to annotate the document, wherein the request comprises an annotation, and an identification of the document to annotate, and creating a second content section comprising the annotation. The data structure can be updated with a reference to the second content section thereby making the second content section available as an annotation in association with the document.

Abstract: The present application provides progenitor cells and a preparing method thereof. The preparing method comprises obtaining a tissue sample containing myometrium from uterus, treating the tissue sample with collagenase, and culturing the treated tissue sample to obtain the progenitor cells, wherein the progenitor cell is multipotent and immunomodulatory. The present application also provides a method for treating a degenerative disease, an ischemic disease or a disease caused by abnormal immune response comprising administering the progenitor cells to a patient subjecting the disease.