Abstract: A display panel is provided. The display panel includes a first substrate, a second substrate, and a liquid crystal layer. The liquid crystal layer includes multiple liquid crystal molecules. The display panel includes multiple primary spacer assemblies, and each of the multiple the primary spacer assemblies includes a first primary spacer, a second primary spacer, and a piezoelectric element. The first primary spacer is adjacent to the second primary spacer, and two opposite ends of the piezoelectric element are respectively connected to the first primary spacer and the second primary spacer.

Abstract: A method for assessing microbial drug resistance multi-level risks of antibiotic residues in water environments, belonging to the technical field of water environment assessment, comprises the following steps: S1, environment monitoring; S2, preliminary screening of antibiotics: S2-1, determination of n-octanol/water partition coefficient, and S2-2, determination of antibiotic environment concentration; S3, assessment of microbial drug resistance; and S4, high-level assessment. The assessment method of the present disclosure conducts a step-by-step assessment of target antibiotics or target antibiotic derivatives in water environment with risks.

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: The present disclosure provides a wire and arc additive manufacturing (WAAM) method for a titanium alloy. The method includes the following steps: step 1: performing a WAAM process assisted by cooling and rolling; step 2: milling side and top surfaces of an additive part; step 3: performing, by friction stir processing (FSP) equipment, an FSP process on the additive part, and applying cooling and rolling to a side wall of the additive part through a cooling and rolling device during the FSP process; step 4: finish-milling the top surface of the additive part for a WAAM process in the next step; and step 5: repeating the above steps cyclically until final forming of the part is finished. This WAAM method completely breaks dendritic structures and refines grains in the WAAM process of the titanium alloy, thereby effectively repairing defects such as pores and cracks.

Abstract: The present disclosure provides a wire and arc additive manufacturing (WAAM) method for a magnesium alloy. The method includes the following steps: step 1: performing a WAAM process assisted by cooling and rolling; step 2: milling side and top surfaces of an additive part; step 3: performing, by friction stir processing (FSP) equipment, an FSP process on the additive part, and applying cooling and rolling to a side wall of the additive part through a cooling and rolling device during the FSP process; step 4: finish-milling the top surface of the additive part for a WAAM process in the next step; and step 5: repeating the above steps cyclically until final forming of the part is finished. The present disclosure completely breaks dendritic structures and refines grains in the WAAM process of the magnesium alloy, thereby effectively repairing defects such as pores and cracks.

Abstract: A radiation therapy system is disclosed. The radiation therapy system includes a gantry, a first radiation source, and a second radiation source. The gantry is configured to have a cavity extending in a direction along a rotation axis, and the cavity is configured to house a target object. The first radiation source is mounted on the gantry, and configured to emit a treatment beam to a treatment area of the target object. The second radiation source is mounted on the gantry, and configured to emit an imaging beam to an imaging area of the target object. The treatment area partially overlaps the imaging area. A rotation plane of the first radiation source and a rotation plane of the second radiation source are distributed in a direction along the rotation axis.

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: 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: 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: 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.

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: 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: Methods and systems for selecting a tool for a project is described. In an example, a processor can run a machine learning model to generate a set of requirements to implement a project. The processor can identify a keyword from the set of requirements. The processor can search for the keyword on a search engine. The processor can receive a search result from the search engine corresponding to the keyword. The processor can identify, based on the search result, a tool that can be used to implement the project, where the tool can be in compliance with the set of requirements.