Abstract: A stabilizing fixture to hold and stabilize a server contained within different sizes of server cabinets includes a base, a pressing component and an adjusting component. The pressing component is slidably coupled with the base in a first direction. A first pressing surface is defined on the pressing component for pressing a server. The adjusting component includes a screw and a nut. When the screw is rotated relative to the nut, the nut is driven to move in a second direction, and the nut acts on the pressing component to drive the pressing component in the first direction to press the server. As the pressing component moves along the first direction, the distance between the two pressing component changes to accommodate servers of different sizes.

Abstract: Embodiments of the present disclosure relate to a method, device and computer-readable storage medium for image processing. A method for image processing comprises: obtaining a first image and at least one second image, wherein each image of the at least one second image is a transformed image of the first image; and generating a first semantic segmentation label for the first image based on at least one semantic prediction result of the at least one second image. By using the first image and the first semantic segmentation label as training data to train an image semantic segmentation model, it helps to increase the precision of the trained image semantic segmentation model.

Abstract: A nickase encoded by Shewanella integrated temperate phage fragments and an application thereof are provided. The nickase is derived from Shewanella oneidensis MR-1 (ATCC 700550), the amino acid sequence of the nickase is as shown in SEQ ID NO: 2, and the nucleotide sequence of the nickase is as shown in SEQ ID NO: 1. It can break a specific part of one of single strands of double-stranded DNA. The nickase has a wide range of action temperatures and good cutting effects, and has wide application values in the fields of nucleic acid isothermal amplification and the like.

Abstract: Embodiments of the present disclosure relate to methods, devices and computer-readable storage medium for image processing. A method for image processing comprises obtaining a plurality of images, each of the plurality of images having an initial semantic segmentation label indicating a semantic class of a pixel in the each image; obtaining a plurality of image masks corresponding to the plurality of images, each of the plurality of image masks being used for selecting a target region in a corresponding image of the plurality of images; regenerating respective semantic segmentation labels of the plurality of images based on the plurality of image masks and initial semantic segmentation labels of the plurality of images; and generating a mixed image and a semantic segmentation label of the mixed image based on the plurality of images and the regenerated respective semantic segmentation labels.

Abstract: Embodiments of the present disclosure relate to an image processing method, a device and a computer-readable storage medium. The method includes obtaining a first reference image and a second reference image of a reference object. The method further includes determining a first constraint and a second constraint based on the first reference image and the second reference image. The first constraint is related to a difference between different depth maps of the same reference images, and the second constraint is related to a depth consistency of different reference images. The method further includes training a depth estimation model at least based on the first constraint and the second constraint. In this way, an obtained trained depth estimation model may provide more accurate depth information.

Abstract: Managing security access in real-time to a computer system using control lists includes detecting a security event at a computer system. The security event is analyzed including an analysis of a historical corpus having historical data of security events. An access control list is generated based on the security event. A determination is made when the security event includes abnormal behavior based on the analysis of the security event and the historical corpus. The security event is published to a monitoring system for controlling access to the computer system, in response to the security event.

Abstract: A method, system, and computer program product for reconstructing training data and building a new incremental learning model with the reconstructed training data that can be further trained. The method may include receiving new data to be inputted into a previously trained machine learning model, where the previously trained machine learning model has inaccessible training data. The method may also include generating simulated training data using a reverse form of the previously trained machine learning model. The method may also include verifying the simulated training data. The method may also include creating a new machine learning model using the simulated training data, where the new machine learning model includes a same structure as the previously trained machine learning model. The method may also include inputting the new data into the new machine learning model, where the new machine learning model is further trained with the new data.

Abstract: A computer-implemented process for training a neural network having a plurality of transform layers includes the following operations. Input data for one transform layer of the plurality of transform layers is transformed by the one transform layer into output data. A neural-backed decision tree is generated for the transform layer, a neural-backed decision tree. The transforming and the generating are repeated for each of the plurality of transform layers. A neural-backed decision tree map for a particular one of the plurality of transform layers maps output data of the particular one of the plurality of transform layers into a list of interpretable words from a generative search domain of facts and evidence.

Abstract: Techniques are described for linked blockchains that allow computing devices to access information from an acceptance blockchain about acceptance reports stored in an enterprise delivery blockchain that are also linked to a product blockchain that stores information of the products of the acceptance reports. An acceptance report is indicative of operability of a product in a service provided by a service provider. A processor is configured to access the block in the enterprise delivery blockchain, retrieve the acceptance report from the block in the enterprise delivery blockchain, determine an identifier, identified in the block in the enterprise delivery blockchain, to a block in an acceptance blockchain, access the block in the acceptance blockchain via the determined identifier, retrieve from the block in the acceptance blockchain contextual information of the acceptance report, and output the acceptance report and contextual information of the acceptance report.

Abstract: A server chassis includes a housing, a support frame, and a back plate. The housing includes a substrate. A fixing portion is vertically disposed on the substrate and is fixedly connected with the back plate. The support frame is fixedly connected with the substrate. A first protrusion is disposed on the support frame and is inserted into the back plate. The interior of the server chassis is rendered more compact, and the server chassis can accommodate eight hard disks. A server including the server chassis is also disclosed.

Abstract: A fixing auxiliary device includes a support frame, an elastic member, and a plurality of first support members. The first support member includes a first segment, a second segment, and a third segment which are connected in sequence. The third segment is detachably connected to the support frame, the first segment is configured to extend into a first component. An end of the second segment facing away from the third segment includes a first stop surface configured for stopping the first component from moving towards the support frame. The elastic member is configured to provide an elastic force to a second component to press against the support frame.

Abstract: Embodiments of the present disclosure relate to a data processing method and an electronic device, and relate to a field of computers. The method comprises: obtaining data to be detected; and determining an attribute of the data to be detected using a trained anomaly detection model, where the attribute indicates whether the data to be detected is anomalous data, where the anomaly detection model is trained based on a difference between a reconstructed data item and a normal data item and a difference between a first output data item and the reconstructed data item, where during training, the normal data item is input into a generative sub-model of the anomaly detection model to obtain the reconstructed data item, and the reconstructed data item is input into the generative sub-model to obtain the first output data item.

Abstract: Managing network interactions by engaging a networked information broadcast service, receiving information from the networked information broadcast service, filtering the information according to a profile, and sending information according to the filtered information using another network communications connection.

Abstract: A stabilizing fixture to hold and stabilize a server contained within different sizes of server cabinets includes a base, a pressing component and an adjusting component. The pressing component is slidably coupled with the base in a first direction. A first pressing surface is defined on the pressing component for pressing a server. The adjusting component includes a screw and a nut. When the screw is rotated relative to the nut, the nut is driven to move in a second direction, and the nut acts on the pressing component to drive the pressing component in the first direction to press the server. As the pressing component moves along the first direction, the distance between the two pressing component changes to accommodate servers of different sizes.

Abstract: Provided are an information processing method, an electronic device, and a computer storage medium. The method comprises: receiving first information which is associated with an operation behavior of a medical testing device, wherein the first information is associated with data collection performed by the medical testing device during operation; and outputting at least part of the first information. By using the method, quality control can be performed on operation behaviors associated with examination, and the quality of a result obtained by an operation behavior, deviation from a recommended operation, a suggested modification direction and any possible statistical information can be presented, thereby a doctor can be helped in improving operations performed on a medical testing device.

Abstract: An outer box includes an outer case including a rear wall; and a fixing device fixed on the rear wall. The fixing device includes a first fixing member, a second fixing member, at least two fixing rods, and at least two fastening members. The first fixing member is fixed on the rear wall. The at least two fixing rods are connected with the first fixing member. At least one of the at least two fixing rods is slidably connected with the first fixing member. The second fixing member is slidably arranged on the at least two fixing rods, the at least two fastening members are fixed with the at least two fixing rods respectively so as to limit the movement of the second fixing member along the at least two fixing rods.

Abstract: A computer-implemented method, computer system, and computer program product for blockchain enabled service reservation and delegation. The present invention may include receiving one or more first or second trigger conditions defined by a user, detecting an occurrence of the one or more first trigger conditions, deploying a smart contract based on the received one or more first trigger condition, detecting an occurrence of the one or more second trigger conditions, and deactivating the smart contract based on the received one or more second trigger conditions. The present invention may include receiving a subject registration, the subject is the user, a service, or a device. The one or more first trigger conditions may be a condition that upon its occurrence may initiate the deployment of the smart contract. The one or more second trigger conditions may be a condition that upon its occurrence may initiate the deactivation of the smart contract.

Abstract: Techniques are provided for mapping natural language to code segments. In one embodiment, the techniques involve receiving a document and software code, wherein the document comprises a natural language description of a use of the code, generating, via a vectorization process performed on the document, at least one vector or word embedding, generating, via a natural language processing technique performed on the at least one vector or word embedding, a first label set, generating, via a machine learning analysis of the software code, a second label set, determining, based on a comparison of the first label set and the second label set, a match confidence between the document and the software code, wherein the match confidence indicates a measure of similarity between the first label set and the second label set, and upon determining that the match confidence exceeds a predefined threshold, mapping the document to the software code.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, a storage medium and a program product for sample analysis. The method comprises: obtaining a sample set, the sample set being associated with annotation data; processing the sample set with a target model to determine prediction data for the sample set and confidence of the prediction data; determining accuracy of the target model based on a comparison between the prediction data and the annotation data; and determining a candidate sample which is potentially inaccurately annotated from the sample set based on the accuracy and the confidence. In this way, a potential inaccurately annotated sample may be efficiently screened out.

Abstract: Managing security access in real-time to a computer system using control lists includes detecting a security event at a computer system. The security event is analyzed including an analysis of a historical corpus having historical data of security events. An access control list is generated based on the security event. A determination is made when the security event includes abnormal behavior based on the analysis of the security event and the historical corpus. The security event is published to a monitoring system for controlling access to the computer system, in response to the security event.