Abstract: Introduced are a method, a software apparatus, an electronic device, and a storage medium for simulating inerter using finite element analysis. The method involves: acquiring structural parameters of an inerter; simulating the mechanical properties of racks on rigid rods and flywheels within the inerter using the structural parameters and a finite element platform; formulating constraint equations and transformation formula to simulate translational-rotational conversion and inertia amplification mechanism of the inerter; integrating the force and constraint information to achieve the finite element simulation of the inerter. The finite element simulation method for the inerter addresses the challenge of lacking “inerter units” and the inability to simulate inertia components in general finite element software platforms. It also overcomes the technical bottleneck of real-time dynamic coupling simulation between inerter and complex engineering structures.

Abstract: An application-level memory control group of a first application may be created when the first application is opened. An anonymous page of the first application is added to a least recently used linked list of the application-level memory control group, and a file page of the first application is added to a global least recently used linked list. An application-level memory control group is created in a dimension of an application, and an anonymous page of the application is managed in a refined manner. In addition, a file page of the application-level memory control group may be managed based on a global least recently used linked list.

Abstract: The present application relates to a service decision method and a service decision device. The method includes: receiving a task request sent by a terminal, the task request including a terminal identifier, terminal location information and task information of the terminal; determining that the terminal is currently in an overlapping coverage area, generating a decision-making instruction according to the task request and a target decision network, and sending the decision-making instruction to the terminal according to the terminal identifier, the decision-making instruction being used to indicate whether a target unmanned aerial vehicle server provides to the terminal a service corresponding to the task request, and the target decision-making instruction being used by the terminal to select one server from among the target unmanned aerial vehicle server and the other unmanned aerial vehicle servers to provide the service. Using the present method can improve resource utilization.

Abstract: Embodiments of the present disclosure a computer-implemented method comprising receiving sensor data from one or more vibration sensors that are embedded within a seat, where the sensor data includes data associated with speech by an occupant of the seat, and at least one of processing, transmitting, or storing the sensor data based on the data associated with the speech.

Abstract: When performing a recycling operation on a storage device, a storage system may use or create a data buffer in the storage device, and designate the data buffer to temporarily store data of data blocks to be recycled in the storage device using direct memory access (DMA) operations that are performed internally in the storage device, without the need of reading the data of the data blocks from the storage device and writing the data into a host memory of the storage system, thereby saving or reducing the consumptions of the communication bandwidth of a communication channel between the storage system and the storage device, and the memory bandwidth of the host memory.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate, a pixel circuit layer and an anode layer; the pixel circuit layer includes a plurality of pixel driving circuits, the anode layer includes a plurality of anode groups, each of the plurality of anode groups includes a first anode and a second anode which are oppositely arranged, the first anode includes a first main body portion and a first connection portion, the first anode further includes an extension portion and an anode compensation portion, an orthographic projection of the anode compensation portion on the base substrate covers one thin film transistor in the pixel driving circuit connected to the first connection portion.

Abstract: Satellite cell reselection control methods and related devices are provided. One satellite cell reselection control method includes: determining a current location status of the user equipment; determining a satellite cell reselection control parameter set corresponding to the current location status; and the performing satellite cell reselection control of the user equipment based on the obtained satellite cell reselection control parameter set.

Abstract: A compound as shown in formula I, or an optical isomer thereof, a solvate thereof, a pharmaceutically acceptable salt thereof, a prodrug thereof, a tautomer thereof, a mesomer thereof, a racemate thereof, an enantiomer thereof, a diastereomer thereof, a mixture form thereof, a metabolite thereof, a metabolic precursor thereof, or an isotope substitute form thereof. TB is a target recognition/binding portion, L is a linking portion, and U is a ubiquitin protease recognition/binding portion, the three portions being connected by means of chemical bonds. The compound can significantly down-regulate mutated androgen receptor (AR) proteins, and has good inhibitory activity on prostate cancer cell lines.

Abstract: Provided are a system and a method for impact testing and monitoring of a high-energy flexible net. The system includes a vertical impact testing unit, a slope impact testing unit, an impact simulation unit, and an impact monitoring unit. The vertical impact testing unit includes a vertically positioned gravity wall. The slope impact testing unit includes a wall slope positioned perpendicularly to a second side of the gravity wall. A first side of the gravity wall and a slope surface of the wall slope are securely provided with a flexible net, respectively. The impact simulation unit includes an impact assembly and a lifting assembly. The impact monitoring unit is configured to monitor a deformation result and an internal force change result of the flexible net.

Abstract: Implementations relate to a method implemented by one or more processors, the method including: receiving natural language (NL) based input associated with a client device; generating, using a large language model (LLM) and based on processing the NL based input, LLM output; determining, based on the LLM output, a sequence of LLM responses, the sequence of LLM responses including at least one intermediate LLM response and a final LLM response. In some implementations, the method may further include causing the final LLM response to be rendered at the client device. In additional or alternative implementations, the method may further include storing, as an instance of training data for fine-tuning the LLM or an additional LLM, the NL based input along with the final LLM response.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for extracting entities from conversation transcript data. One of the methods includes obtaining a conversation transcript sequence, processing the conversation transcript sequence using a span detection neural network configured to generate a set of text token spans; and for each text token span: processing a span representation using an entity name neural network to generate an entity name probability distribution over a set of entity names, each probability in the entity name probability distribution representing a likelihood that a corresponding entity name is a name of the entity referenced by the text token span; and processing the span representation using an entity status neural network to generate an entity status probability distribution over a set of entity statuses.

Abstract: In at least one embodiment, a microphone assembly including a substrate, a printed circuit board (PCB), a micro-electro-mechanical systems (MEMS) transducer, a first lid, and a second lid is provided. The substrate defines a first port that extends completely therethrough. The PCB defines a sound opening that extends completely therethrough. The MEMS transducer is positioned on a first side of the substrate. The first lid defines a second port and covers the MEMS transducer and the first port. The first lid and the substrate define a front volume of air that surrounds the MEMS transducer. The second lid is positioned on the second side of the PCB. A cavity of the second lid, the sound opening of the PCB, the sound opening of the PCB, and the first port of the substrate define a back volume of air that is greater than the front volume of air.

Abstract: Antibodies and antigen-binding fragments thereof that bind type II transmembrane serine protease 6 (TMPRSS6) on the surface of a cell and increase hepcidin expression, and methods for treating disorders of iron metabolism using anti TMPRSS6 antibodies and fragments, are provided.

Abstract: A display substrate and a display device are provided. The display substrate includes a first display region including first light emitting unit groups and first pixel circuit groups connected with the first light emitting unit groups, a second display region including second light emitting unit groups, second pixel circuit groups connected with the second light emitting unit groups and third pixel circuit groups, and a third display region including third light emitting unit groups connected with the third pixel circuit groups. Each light emitting unit group includes light emitting units of different colors. The light emitting unit includes a main body electrode, an area of the main body electrode of at least one color light emitting unit in the third display region is greater than that of a main body electrode of the same color light emitting unit in the first display region.

Abstract: Disclosed in the present disclosure is a method for processing remote sensing images by fusing elevation information.

Abstract: A smart insect collection device comprising: a trapping device; a sensing device having a through opening in fluid connection with the trapping device; a processing unit to receive electrical signals from the sensing device; and a collecting module comprising: a selection plate having at least one through hole configured to engage an opening of a collection container for collection of insects therein, the sensing device provided between the trapping device and the selection plate, the selection plate movable between at least one non-collecting position and at least one collecting position; and a controller in communication with the processing unit and with a motor provided to move the selection plate, the controller programmable to activate the motor to move the selection plate to the collecting position in response to the processing unit identifying an insect passing through the through opening to be an insect of a predetermined kind for collection.

Abstract: A memory and an electronic device are provided in the present application. The memory includes a bank. The bank includes two planes. Each of the two planes includes a plurality of memory resources and a plurality of redundant replacement resources. A bad memory resource of one of the two planes is capable of being replaced by the redundant replacement resource of the other of the two planes for performing a normal Read/Write operation. By the above-mentioned way, the redundant replacement resources in different planes are capable of being shared, thereby improving the flexibility of redundancy and the yield of the memory.

Abstract: Implementations relate to improving instruction following capabilities of large language models (LLMs) using instruction decomposition, self-evaluation, and optionally progressive refinement. Processor(s) of a system can: obtain natural language (NL) based input, generate a plurality of candidate responses and evaluate the candidate responses based on instructions included in the NL based input, using an LLM, and progressively refine the candidate responses until it is determined that one or more termination criteria are satisfied. In some implementations, the NL based input can be received from a client device. In these implementations, a given candidate response that is progressively refined can be rendered for presentation at the client device and responsive to the NL base input. In additional or alternative implementations, the NL based input can be obtained from database(s). In these implementations, a given candidate response that is progressively refined can be utilized in fine-tuning of the LLM.

Abstract: Implementations described herein relate to using self-evaluation when utilizing a large language model (LLM) to generate a response to a natural language (NL) based input. The LLM can be used to process the NL based input to generate a plurality of responses, and to generate a critique of those responses by comparing the responses to a set of response evaluation criteria. One of the responses can then be selected based on the comparison with the set of response evaluation criteria which can vary from one NL based input to another. If the NL based input was obtained a user of a client device during an inference stage, then the selected response can be rendered for presentation to the user. If the NL based input was obtained during a training stage, then the selected response can be stored as a training instance and optionally in association with additional data.

Abstract: A data processing method, a storage medium, and a processor are provided that solve the technical problem of low efficient of data storage. The data processing method is applied to a storage engine, and involves determining that target data is transmitted from a target application to a first persistent memory region of a storage device, and sending a target instruction to the storage device. The target instruction is used for instructing the storage device to write the target data from the first persistent memory region into a memory of the storage device.