Abstract: The present invention provides an anti-CD39 antibody-drug conjugate or a pharmaceutically acceptable salt or solvate thereof, a pharmaceutical composition comprising the conjugate or the pharmaceutically acceptable salt or solvate thereof, and use thereof as an anti-cancer drug, particularly use thereof in the preparation of a medicament for treating a CD39-mediated disease or disorder. The anti-CD39 antibody-drug conjugate provided by the present application significantly improves the effects and in-vivo/in-vitro tumor-killing activity of cytotoxin drugs.

Abstract: A semiconductor device fabrication method is provided and includes building first and second nanosheet devices, locating a dielectric bar between the first and second nanosheet devices, forming, in the first nanosheet device, a first work function metal (WFM) and forming in the second nanosheet device, a second WFM that extends across the dielectric bar and the first WFM.

Abstract: A display device includes a diffusion layer providing a single well, an optical element configured to receive light and output the received image light including a concentric series of lens segments made up of active facets, and a waveguide having an in-coupling grating and a waveguide body optically coupled to the image light, where a polarizing component is disposed over an output surface of the optical element. A method to improve a yield of silicon backplane displays includes connecting a diode having a resolution to a backplane and repairing a defect on a pixel display area by dividing the pixel display area into at least one subcircuit, while improving geometry stylization transfer for 3D models of real-world environments. A method for suppressing crosstalk for user conversations includes receiving multiple speech signals captured by multiple microphones and generating directional data for the multiple speech signals based on spatial filtering.

Abstract: The present invention “A Molecular marker Nicotine Associated SNP 1 for identifying high or nicotine content of tobacco and its kit as well as use thereof” belongs to field of molecular biology technology. The molecular marker Nicotine Associated SNP 1 is a SNP Nitab4.5_0002539:95304 A/G at base No. 95304 of Genomic segment No. 0002539 in tobacco genome version of Nitab v4.5 Genome Scaffolds Edwards2017. The present invention can accurately identify and screen tobacco germplasm resources with high or low nicotine content, and the screened tobacco can be directly used for breeding new tobacco varieties without transgenic methods. At the same time, gene sequence where the SNP site is located can also significantly activate promoters of key enzyme genes in nicotine synthesis pathway.

Abstract: An online system performs a task in conjunction with the model serving system or the interface system. The system generates a first prompt for input to a machine-learned language model, which specifies contextual information and a first request to generate a theme. The system provides the first prompt to a model serving system for execution by the machine-learned language model, receives a first response, and generates a second prompt. The second prompt specifies the theme and a second request to generate a third prompt for input to an image generation model that includes a third request to generate one or more images of one or more items associated with the theme. The system receives the third prompt by executing the model on the second prompt, provides the third prompt to the image generation model, and receives one or more images for presentation.

Abstract: Embodiments of present invention provide a semiconductor structure. The semiconductor structure includes a gate structure with a first portion having a first top surface and a second portion having a second top surface, the first top surface being above the second top surface; a dielectric cap layer on top of the second portion of the gate structure, the first portion of the gate structure being embedded in the dielectric cap layer; and a gate contact being above and substantially aligned with the first portion of the gate structure. A method of forming the same is also provided.

Abstract: Embodiments of present invention provide a static random-access-memory (SRAM). The SRAM includes a first and a second pull-down (PD) transistor having respectively a first and a fourth set of nanosheets of a first width; a first and a second pass-gate (PG) transistor having respectively a second and a fifth set of nanosheets of a second width; and a first and a second pull-up (PU) transistor having respectively a third and a sixth set of nanosheets of a third width, wherein the first width is wider than the second width, the second width is wider than the third width, the first set of nanosheets is substantially aligned with the second set of nanosheets at one side of the first and second sets of nanosheets, and the fourth set of nanosheets is substantially aligned with the fifth set of nanosheets at one side of the fourth and fifth sets of nanosheets.

Abstract: An online concierge system receives unstructured data describing items offered for purchase by various warehouses. To generate attributes for products from the unstructured data, the online concierge system extracts candidate values for attributes from the unstructured data through natural language processing. One or more users associate a subset candidate values with corresponding attributes, and the online concierge system clusters the remaining candidate values with the candidate values of the subset associated with attributes. One or more users provide input on the accuracy of the generated clusters. The candidate values are applied as labels to items by the online concierge system, which uses the labeled items as training data for an attribute extraction model to predict values for one or more attributes from unstructured data about an item.

Abstract: A light-emitting diode driving backplane and a display apparatus are provided, and belong to the field of display technology. The light-emitting diode driving backplane includes: a base substrate divided into luminescent lamp regions and a first wiring region around the luminescent lamp regions; at least one pair of first connection pads, signal traces and an auxiliary functional component on the base substrate. The at least one pair of first connection pads and the auxiliary functional component are in the luminescent lamp regions, the signal traces are in the first wiring region, each pair of first connection pads includes a positive pad and a negative pad, and the signal traces are electrically connected to the corresponding positive negative pads for providing driving signals thereto, and the auxiliary functional component and at least some signal traces are in the same layer.

Abstract: A semiconductor device fabrication method is provided and includes forming first and second stacks each including a dual layer top dielectric cap (TDC), sequentially surrounding each layer and a portion of the dual layer TDC of the first stack with high-k dielectric, a first work function metal (WFM) and a second WFM, sequentially surrounding each layer and a portion of the dual layer TDC of the second stack with the high-k dielectric and the second WFM, forming gate metal around the first and second stacks and recessing the gate metal and the second WFM to a depth defined above a height of an uppermost first WFM horizontal portion.

Abstract: An online concierge system trains a classification model as a domain adversarial neural network from training data labeled with source classes from a source domain that do not overlap with target classes from a target domain output by the classification model. The online concierge system maps one or more source classes to a target class. The classification model extracts features from an image, classifies whether an image is from the source domain or the target domain, and predicts a target class for an image from the extracted features. The classification model includes a gradient reversal layer between feature extraction layers and the domain classifier that is used during training, so the feature extraction layers extract domain invariant features from an image.

Abstract: This application relates to apparatus and methods for providing recommended items based on a search request. In some examples, a computing device determines a plurality of items for recommendation based on an item type in the search request from a user. The computing device then determines a model variant from a plurality of variants for each item based on a requested variant in the search request. The computing device generates item recommendations by modifying an item title for each of the plurality of items to indicate the corresponding model variant. The computing device then presents the item recommendations for the user's perusal.

Abstract: A first apparatus obtains data; determines an index of the data based on a first encoding network and a first data codebook, where the first encoding network is for encoding the data, and the first data codebook includes a correspondence between encoded data and the index; and sends information about the index of the data.

Abstract: A computer system uses clustering and a large language model (LLM) to normalize attribute tuples for items stored in a database of an online system. The online system collects attribute tuples, each attribute tuple comprising an attribute type and an attribute value for an item. The online system initially clusters the attribute tuples into a first plurality of clusters. The online system generates prompts for input into the LLM, each prompt including a subset of attribute tuples grouped into a respective cluster of the first plurality. Based on the prompts, the LLM generates a second plurality of clusters, each cluster including one or more attribute tuples that have a common attribute type and a common attribute value. The online system maps each attribute tuple to a respective normalized attribute tuple associated with each cluster. The online system rewrites each attribute tuple in the database to a corresponding normalized attribute tuple.

Abstract: The present disclosure relates to methods and compounds for liquid phase oligonucleotide synthesis employing the use of small molecules with lipophilic groups. Methods for making an oligonucleotide by liquid phase oligonucleotide synthesis using the compounds described herein are also provided.

Abstract: Embodiments of the present disclosure provide an ablation catheter, comprising: a catheter, a handle and a connector which are connected in sequence, wherein a plurality of electrodes are provided in sequence at a distal end of the catheter, each of the electrodes has a corresponding electrode lead, which passes through the catheter and the handle and is connected to the connector; the catheter comprises an insulated inner catheter, the electrodes are provided on the insulated inner catheter, an insulated outer catheter is provided between the plurality of electrodes, electrode leads of the plurality of electrodes are respectively provided between the insulated inner catheter and the insulated outer catheter.

Abstract: The disclosure discloses a method and an apparatus for stylizing a three-dimensional model, an electronic device, and a storage medium. The method for stylizing the three-dimensional model includes: acquiring a to-be-stylized three-dimensional model and a stylized target image; and rendering the three-dimensional model by using a predetermined network to acquire a two-dimensional rendered image and spatial feature parameters of a pixel, and stylizing a texture feature in the two-dimensional rendered image based on the spatial feature parameters and the stylized target image to acquire a stylized three-dimensional model.

Abstract: The present disclosure relates to methods and compounds for liquid phase oligonucleotide synthesis employing the use of small molecules with lipophilic groups. Methods for making an oligonucleotide by liquid phase oligonucleotide synthesis using the compounds described herein are also provided.

Abstract: An online concierge system trains a classification model as a domain adversarial neural network from training data labeled with source classes from a source domain that do not overlap with target classes from a target domain output by the classification model. The online concierge system maps one or more source classes to a target class. The classification model extracts features from an image, classifies whether an image is from the source domain or the target domain, and predicts a target class for an image from the extracted features. The classification model includes a gradient reversal layer between feature extraction layers and the domain classifier that is used during training, so the feature extraction layers extract domain invariant features from an image.