Abstract: The present disclosure provides a data processing method, apparatus and device and a storage medium. The method comprises: displaying a recommended content adjustment page of a target application, and displaying at least one content type tag on the recommended content adjustment page; in response to a trigger operation for an adjustment entry of a target content type tag in the at least one content type tag, displaying an adjustment panel corresponding to the target content type tag on the recommended content adjustment page; and in response to a selection operation for a target recommendation intensity level in the plurality of recommendation intensity levels, establishing a corresponding relationship between the target content type tag and the target recommendation intensity level which is used for adjusting the recommendation amount of the target application for the content type corresponding to the target content type tag.

Abstract: An optical fiber distribution sub-frame including a base plate, two opposite sides of which are each provided with a mounting point position; a bracket, which is detachably mounted at the mounting point position on any side of the base plate; and an optical fiber channel tray, which is hinged to the bracket. When the bracket is mounted at the mounting point positions on different sides, the optical fiber channel tray is reversed along with the bracket. When the bracket changes position, the optical fiber channel tray connected to the bracket can be reversed together, so that the bracket and the optical fiber channel tray can be replaced from one side of the base plate to the opposite side, and after reversing, the base plate can be replaced from one rotation direction to the other relative to the optical fiber channel tray.

Abstract: A method, apparatus, device and storage medium for verifying a real store, which belong to the field of data processing. The method includes: acquiring inputted store information of a first store (S101); searching for, based on the store name and the store address of the first store, a first target store name in a first target area in an electronic map (102) searching for, based on the store address of the first store, a real store address database, and the store name of the first store, a second target store name in a second target area in the electronic map (S103) determining, under a condition that the first target store name or the second target store name exists, that the first store is a real store (S104).

Abstract: An index is created with split documents to retrieve and augment generation of a response to a natural language request using a generative machine learning model. When a natural language request is received, a search representation is generated and used to retrieve candidate portions of documents from the index. A relevancy ranking is performed to identify relevant portions of documents from the candidates and provide the relevant portions to prompt a generative machine learning model to provide a result for the natural language request.

Abstract: Template-based tuning is performed on a generative machine learning model where a shared template is used to tune the generative machine learning model across multiple natural language tasks. When a natural language request to perform a natural language task is received, portions of a shared template to complete are identified as part of generating a prompt. The generative machine learning model is instructed according to the generated prompt and a response to the request is returned based on a result of the generative machine learning model.

Abstract: The present disclosure provides a data processing method, apparatus, device and storage medium, the method comprising: firstly, displaying at least one recommended content adjustment control on a recommended content adjustment page, wherein a recommended content label for identifying a content type recommended by a target application is presented on the recommended content adjustment control, and then, upon receiving a preset adjustment operation with respect to the target recommended content adjustment control, determining a recommendation strength value corresponding to the target recommended content adjustment control, wherein the recommendation strength value is used for adjusting a recommendation amount of the target application for the content type identified by the recommended content label corresponding to the target recommended content adjustment control.

Abstract: A method, apparatus, device and storage medium for verifying a real store, which belong to the field of data processing. The method includes: acquiring inputted store information of a first store (S101); searching for, based on the store name and the store address of the first store, a first target store name in a first target area in an electronic map (102) searching for, based on the store address of the first store, a real store address database, and the store name of the first store, a second target store name in a second target area in the electronic map (S103) determining, under a condition that the first target store name or the second target store name exists, that the first store is a real store (S104).

Abstract: The present disclosure provides a data processing method, apparatus and device and a storage medium.

Abstract: A network element is disclosed herein. The network element comprises an add transceiver to generate a first optical signal having one or more optical channel; a line port optically coupled to an optical fiber link; an optical signal inspector operable to sample an optical power of one or more spectral slice of the one or more optical channel; a WSS operable to attenuate the one or more spectral slice of the first optical signal; a processor; and a memory storing instructions that cause the processor to: determine a sample power profile based on the optical power of the one or more spectral slices; generate an attenuation profile based on the sample power profile and a target power profile; and apply the attenuation profile to cause the WSS to shape the one or more spectral slices of the first optical signal into the second optical signal.

Abstract: The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.

Abstract: The disclosure discloses a method and apparatus for updating a deep learning model. An embodiment of the method comprises: executing following updating: acquiring a training dataset under a preset path, training a preset deep learning model based on the training dataset to obtain a new deep learning model; updating the preset deep learning model to the new deep learning model; increasing training iterations; determining whether a number of training iterations reaches a threshold of training iterations; stopping executing the updating if the number of training iterations reaches the threshold of training iterations; and continuing to execute the updating after an interval of a preset time length if the number of training iterations fails to reach the threshold of training iterations. This embodiment has improved the model updating efficiency.

Abstract: Disclosed are adhesives comprising a first compound comprising three or more 1,2-dihydroxybenzene groups; and a second compound that is a functionalized polymer; wherein the first compound and second compound are in the form of a mixture, and wherein the adhesive has adhesive properties when wet. Additional embodiments to methods of preparing an adhesive, adhesives prepared by the method, and articles prepared from the adhesive are disclosed.

Abstract: Provided herein are an isaridin cyclodepsipeptide derivative, and a preparation and an application thereof. The isaridin cyclodepsipeptide derivative is shown in formula (I), and is isolated from ascidian-associated fungi.

Abstract: A method, apparatus and communication system for registering address information of a network anchor point to a network server, the method including receiving, by a packet data network gateway, a request message from a mobility management entity, determining, by the packet data network gateway in response to the request message, to register identity information of the packet data network gateway to a home subscriber server, and registering, to the home subscriber server, by the packet data network gateway in response to the determining to register the identity information, the identity information of the packet data network gateway and an access point name corresponding to the packet data network gateway.

Abstract: A system comprises: a data warehouse, a storage device and a cluster including a plurality of computing nodes; the data warehouse is configured to store task data obtained from the user; at least one computing node in the cluster includes a resource scheduling component, and is configured to perform resource scheduling for the task and determine a computing node executing the task; the computing node executing the task comprises a model training component and/or a prediction component; the model training component is configured to, according to task data, invoke a corresponding type of learning model from the storage device; use sample data and training target included in the task data to train the learning model, to obtain the prediction model corresponding to the task and store the prediction model in the storage device; the prediction component is configured to obtain a prediction result output by the prediction model.

Abstract: An integrated facial recognition method and system. The method includes: receiving a request for acquiring an integrated facial recognition service sent by a user terminal, which includes: an identifier of a user-selected model associated with facial recognition of the user, and an identifier of an operation selected by the user from candidate operations; and executing distributedly an operation selected by the user from the candidate operations on the user-selected model associated with the facial recognition of the user to obtain an operation result, and storing the operation result. The embodiment has realized completing the operations such as training a model or developing a facial recognition application, without the need of buying hardware and establishing a software environment by the user, thereby saving the development cost and improving the convenience of using the facial recognition service.

Abstract: The present disclosure provides a deep learning assignment processing method and apparatus, a device and a storage medium. It is feasible to obtain the deep learning assignment submitted by the user in a predetermined manner, the predetermined manner comprising the web UI manner, then submit the deep learning assignment to the deep learning system so that the deep learning system runs the submitted deep learning assignment. As compared with the prior art, processing such as programming is not needed upon submitting the deep learning assignment in the solutions of the present disclosure, thereby simplifying the user's operations, improving the processing efficiency of the deep learning assignment, and accelerating the user's speed of developing deep learning.

Abstract: A method and a system for predicting a medium-long term water demand of a water supply network including: building a gray model; acquiring an urban historical water demand data set; processing the historical water demand data set to obtain a processed water demand data set; inputting the processed water demand data set into the gray model to obtain a medium-long term water demand prediction value; acquiring a medium-long term water demand actual value; obtaining a first prediction error according to the medium-long term water demand prediction value and the medium-long term water demand actual value; inputting the first prediction error into an artificial neutral network model to repeatedly conduct a prediction so as to obtain a second prediction error; predicting a medium-long term water demand of the water supply network according to the medium-long term water demand prediction value and the second prediction error.

Abstract: A method, apparatus and communication system for registering address information of a network anchor point to a network server, the method including receiving, by a packet data network gateway, a request message from a mobility management entity, determining, by the packet data network gateway in response to the request message, to register identity information of the packet data network gateway to a home subscriber server, and registering, to the home subscriber server, by the packet data network gateway in response to the determining to register the identity information, the identity information of the packet data network gateway and an access point name corresponding to the packet data network gateway.

Abstract: Method and system for setting up a bearer are disclosed. The bearer setup method includes these steps: a packet data network gateway (PGW) obtains first quality of service (QoS) information and a first bearer identifier (ID), and sets up a bearer between the PGW and a radio access network (RAN) according to the first QoS information, where the bearer is associated with the first bearer ID; the RAN sets up a radio bearer (RB) with a user equipment (UE) according to second QoS information associated with the first QoS information, where the RB is associated with a second bearer ID associated with the first bearer ID.