Abstract: The present application discloses a semiconductor structure. The semiconductor structure includes: a substrate, the substrate being provided with a conductive structure; a first lower electrode and a second lower electrode sequentially stacked, the first lower electrode being located between the second lower electrode and the substrate, and the first lower electrode being electrically connected to the conductive structure; a first dielectric layer and a first upper electrode, the first dielectric layer covering a sidewall surface of the first lower electrode, and the first upper electrode being located on one side of the first dielectric layer away from the first lower electrode; and a second dielectric layer and a second upper electrode, the second dielectric layer covering an inner wall and a bottom surface of the second lower electrode, and the second upper electrode filling the recess of the second lower electrode.

Abstract: A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: An aluminum borate whisker reinforced and toughened non-metallic matrix composite is provided, which specifically includes a non-metallic material reinforced and toughened with aluminum borate whiskers. The composite exhibits a higher bending strength and fracture toughness and a higher wear resistance. A method for preparing the composite is also provided. The method includes mixing the aluminum borate whiskers and the non-metallic material to form a mixture; and sintering the mixture by a vacuum hot press method, or molding the mixture.

Abstract: The present disclosure discloses a method for determining optimal preservation temperature of the anaerobic ammonia oxidation biofilm in wastewater treatment, and belongs to the technical field of environmental engineering. The method of the present disclosure characterizes the ratio of living cells, early apoptotic cells, late apoptotic cells and dead cells in the anaerobic ammonia oxidation biofilm by flow cytometry, and the optimum storage temperature can be measured within a few hours. The method of the present disclosure performs correlation analysis on the characteristic indexes of the anaerobic ammonia oxidation biofilm activity recovery process to verify the reliability of the data. By using the method of the present disclosure, the step of recovering the biofilm activity can be omitted, the removal rates of ammonia nitrogen and total nitrogen were over 90% and 85%, respectively.