Abstract: A training method for a large model and a data processing method is provided, relating to the technical field of data processing, and particularly to artificial intelligence and large model technologies. The implementation is: determining a training sample set, where the training sample includes a pair of sample input and sample output, and the sample output includes a natural language output and a code block, where the natural language output includes a code execution result generated by the code block; providing the sample input to a large model to obtain a predicted output of the large model; and adjusting, based on the predicted output and the sample output, parameters of the large model.

Abstract: This disclosure describes systems and techniques for recognizing, or identifying, produce items being purchased at a self-checkout device. The self-checkout device may use a produce-recognition system that uses image-based recognition techniques so that items, such as produce, may be identified without the need for users to enter in keywords or price look-up (PLU) codes. The produce-recognition system may compare feature representations between the produce to be purchased, produce categories, and produce subcategories. Based on similarities with produce categories and produce subcategories, the identity of the produce item may be predicted. Ranked produce categories and subcategories may presented to the user. The presentation of produce categories and subcategories may depend on confidence levels associated with the predicted produce categories. The produce item may then be identified and added to a virtual cart.

Abstract: A computing platform is configured to (1) extract a first source dataset from a first database containing data about a set of product-level ingredients, (2) extract a second source dataset from a second database containing data about food products, (3) merge the first and second source datasets into a first merged dataset, (4) update the first merged dataset by inserting a column representing a data variable that, for each product-level ingredient in the set, provides a respective dry mass measurement of the respective product-level ingredient within a corresponding food product in which the respective product-level ingredient is included, (5) extract a third source dataset from a third database containing environmental-impact values for ingredients, (6) merge the updated first merged dataset and the third source dataset into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level ingredient in the set using the second merged dataset.

Abstract: A computing platform is configured to (1) extract first and second source datasets from a first database containing data about food products and a second database containing data about manufacturing processes, respectively, (2) merge the first and second source datasets into a first merged dataset, (3) generate an updated dataset including (i) rows representing data records for a set of product-level resources and (ii) columns representing data variables that provide information about the set of product-level resources, (4) extract third, fourth, and fifth source datasets from a third database containing data about resource types, a fourth source database containing data about manufacturing plants, and a fifth source database containing environmental-impact values for types of resources, respectively, (6) merge the updated dataset and the third, fourth, and fifth source datasets into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level resource in the se

Abstract: A belt cleaning device for a coal loading and unloading belt conveyor, including a split-type spraying pipe, a first alloy scraper, and a second alloy scraper. The first alloy scraper is provided on the belt, the belt is supported by a roller. The second alloy scraper is elastically pushed against an underside of the belt and suspended below the roller. A material scraping area is covered by the split-type spraying pipe, the split-type spraying pipe is configured to spray water onto the material scraping area. The belt cleaning device can independently control the inclination angle of the first alloy scraper and the second alloy scraper and uniformly control the adhesion force between the alloy scrapers and the belt, thus solving the problem of scraping off adhesive materials at different wear rates of the belt, improving the efficiency of the coal loading and unloading belt conveyor, and reducing maintenance needs.

Abstract: A computing platform is configured to (1) extract first, second, third, fourth, and fifth source datasets from a first database containing data about a set of product-level ingredients, a second database containing data about food products, a third database containing data about manufacturing plants, a fourth database containing data about ingredient source locations, and a fifth database containing data about ingredient transportation modes, respectively, (2) merge the first, second, third, fourth, and fifth source datasets into a first merged dataset, (3) update the first merged dataset by inserting a column representing distance measurements between source locations and plant locations for product-level ingredients, (4) extract a sixth source dataset from a sixth database containing environmental-impact values for ingredients, (5) merge the updated first merged dataset and the sixth source dataset into a second merged dataset, and (6) determine a group of environmental-impact indicators for each product-le

Abstract: A light-emitting device includes a first electrode, a light-emitting function pattern and a second electrode. The first electrode has at least one first depression portion. The light-emitting function pattern is disposed on the first electrode, the light-emitting function pattern covers at least the first depression portion(s), and a portion of the light-emitting function pattern covering a first depression portion is conformal to the first depression portion.

Abstract: A computing platform is configured to (1) extract first and second source datasets from a first database containing data about food products and a second database containing data about manufacturing processes, respectively, (2) merge the first and second source datasets into a first merged dataset, (3) generate an updated dataset including (i) rows representing data records for a set of product-level resources and (ii) columns representing data variables that provide information about the set of product-level resources, (4) extract third, fourth, and fifth source datasets from a third database containing data about resource types, a fourth source database containing data about manufacturing plants, and a fifth source database containing environmental-impact values for types of resources, respectively, (6) merge the updated dataset and the third, fourth, and fifth source datasets into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level resource in the se

Abstract: A computing platform is configured to (1) extract first and second source datasets from a first database containing data about food products and a second database containing data about manufacturing processes, respectively, (2) merge the first and second source datasets into a first merged dataset, (3) generate an updated dataset including (i) rows representing data records for a set of product-level resources and (ii) columns representing data variables that provide information about the set of product-level resources, (4) extract third, fourth, and fifth source datasets from a third database containing data about resource types, a fourth source database containing data about manufacturing plants, and a fifth source database containing environmental-impact values for types of resources, respectively, (6) merge the updated dataset and the third, fourth, and fifth source datasets into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level resource in the se

Abstract: A computing platform is configured to (1) extract a first source dataset from a first database containing data about a set of product-level ingredients, (2) extract a second source dataset from a second database containing data about food products, (3) merge the first and second source datasets into a first merged dataset, (4) update the first merged dataset by inserting a column representing a data variable that, for each product-level ingredient in the set, provides a respective dry mass measurement of the respective product-level ingredient within a corresponding food product in which the respective product-level ingredient is included, (5) extract a third source dataset from a third database containing environmental-impact values for ingredients, (6) merge the updated first merged dataset and the third source dataset into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level ingredient in the set using the second merged dataset.

Abstract: The present application provides a light-emitting component and a method for manufacturing the same, a display substrate, and a display device. The light-emitting component comprises: an anode layer stacked on one side of a base, a first functional layer group including a plurality of functional layers, an organic light-emitting layer, a second functional layer group including a plurality of functional layers, and a cathode layer; the first functional layer group comprises a hole injection delaying layer close to the organic light-emitting layer, and the hole injection delaying layer is used for reducing a hole transport rate; and/or the second functional layer group comprises an electron injection delaying layer close to the organic light-emitting layer, and the electron injection delaying layer is used for reducing an electron transport rate.

Abstract: The present disclosure provides compositions and methods for preparing and using individualized patient-derived tumor organoids (IPTO). Human iPSC-derived cerebral organoids can be used as hosts for tumor tissue grafts. Patient materials can be obtained directly after surgery and dissected into small pieces. The small tumor tissue is inserted into the cerebral organoid to prepare a hybrid organoid. This hybrid organoid can grow for several weeks to months, allowing even slow-growing tumors, such as glioma with IDH mutations and pilocytic astrocytoma, to proliferate. The tumor pieces preferably include both tumor cells and adjacent stromal cells, allowing testing of conventional chemotherapeutic agents as well as immunotherapeutic agents.

Abstract: In implementations of systems and procedures for automatic image composition for item promotions, a computing device implements the display of graphical promotion emblems associated with items listed for sale on an electronic commerce platform. An emblem is composited with a digital image of an item offered for sale, with the emblem overlapping the digital image. The emblem includes encoding that, when processed, populates a graphical promotion data field of the emblem with promotion data of the item. The display of the emblem is controlled based on the promotion data such that the emblem is displayed while the promotion is active and is hidden while the promotion is inactive.

Abstract: A substation oil sampling robot comprises a smart mobile component, a robot arm grasping member, auxiliary sampling components, and auxiliary sampling platform components. The robot arm grasping member comprises a robot arm body fixedly mounted on the smart mobile component and a robot gripper unit. The auxiliary sampling components comprise sample bottles and a valve opening and closing tool, and the robot gripper unit is arranged with a first gripping portion matched with the sample bottles and a second gripping portion matched with the valve opening and closing tool. The sampling platform components comprise an auxiliary sampling tool connected with the pipeline. The pipeline is arranged with a pipeline valve. The auxiliary sampling tool comprises an auxiliary valve, an auxiliary sampling piping component, and an auxiliary sampling piping component support, and the outlet of the pipeline valve is in communication with the inlet of the auxiliary sampling piping component.

Abstract: A printing solder point quality identification and maintenance suggestion system and a method thereof are disclosed. In the system, when solder paste inspection data, component inspection data or circuit inspection data indicates presence of defect, an analysis and calculation device intercepts the operating data, the equipment data, the raw material data, the process data and the environment data from a time data stream, to generate a data feature portrait.

Abstract: The application provides a manufacturing method for a display panel, a display panel, and a display device.

Abstract: The resource allocation method and apparatus are based on edge computing. The method includes: decomposing all application systems in a server into a plurality of meta-service units according to the coupling degree between different service modules in the application systems, and obtaining the quality of experience (QoE) index parameter value of each meta-service unit; clustering the plurality of meta-service units by using a clustering algorithm based on the QoE index parameter value of each meta-service unit; and allocating resources to each cluster according to the QoE index parameter values of all meta-service units in each cluster, so that all meta-service units in each cluster share the allocated resources. According to the invention, the resource allocation is more reasonable, the QoE value of a user is increased, and the resource use is more effective.

Abstract: A light-emitting device, a display panel and a display apparatus are disclosed. The light-emitting device includes an anode and a cathode arranged oppositely, and a light-emitting function layer located between the anode and the cathode; the light-emitting function layer includes a light-emitting layer, a first auxiliary function layer located between the light-emitting layer and the anode, a second auxiliary function layer located between the light-emitting layer and the cathode, and at least one co-doped layer; and a difference in material physical properties between two film layers adjacent to the co-doped layer is greater than a set value, and the co-doped layer includes a material formed by mixing materials of the two adjacent film layers.

Abstract: The present disclosure provides a display substrate, a manufacturing method thereof, and a display device. The display substrate includes a pixel define layer and a post spacer disposed on a driving structure layer, wherein the post spacer is disposed on a surface of the pixel define layer at one side away from the driving structure layer, and an orthographic projection of the post spacer on a substrate is within an orthographic projection of the pixel define layer on the substrate; there is a protrusion on a surface of the post spacer at one side away from the driving structure layer, a height of the protrusion being less than 0.2 µm.

Abstract: Provided are a translation model training method, a translation method, a device, and a storage medium, and relates to a field of computer technology, and in particular, to artificial intelligence fields such as natural language processing, machine translation and the like. The translation model training method includes: processing a sample document, to obtain an RST discourse structure tree in a dependency form of the sample document, a side in the RST discourse structure tree in the dependency form indicating an RST relationship in a discourse of the sample document; determining an attention mechanism of a translation model to be trained, based on the RST relationship in the RST discourse structure tree in the dependency form; and inputting the RST discourse structure tree in the dependency form and the sample document into the translation model to be trained for training, to obtain a trained translation model.