Abstract: A method for resolving a phenylalanine derivative of formula (I), and an intermediate. The method comprises: a resolving step comprising using a resolving reagent to react with the phenylalanine derivative represented by formula (I) in a reaction solvent to obtain a resolved intermediate, wherein the resolving reagent is selected from N-acetyl-D-phenylalanine and/or (2R,3R)-(?)-dibenzoyl-L-tartaric acid, and the reaction solvent is selected from 90-99% aqueous ethanol, absolute ethyl alcohol, or acetone. The method uses a chiral reagent to perform salt formation and racemate resolution, and has the advantages of being easy to operate, requiring no special production devices, and being easy to scale up production.

Abstract: The invention discloses an emotion recognition method based on spatio-temporal multi-scale attention convolutional neural network, which comprises: collecting EEG data of subjects for preprocessing to obtain EEG data containing spatial dimension and temporal dimension; constructing a lightweight convolutional neural network including two-stream spatio-temporal feature construction layer, hybrid attention mechanism layer, high-order fusion layer and classification layer; wherein the two-stream spatio-temporal feature construction layer comprises a temporal feature extraction module and a parallel spatial feature extraction module; the high-order fusion layer is used to re-learn from the learned global convolution kernel to the representation of the local hemisphere convolution kernel; the trained lightweight convolutional neural network is used to identify EEG data, and the emotion recognition results of the subjects are obtained.

Abstract: A flat hash table includes a plurality of entries, and each entry includes a hash function index and a usage bitmap. A method for block device level compression mapping using the flat hash table includes compressing uncompressed data to compressed data, retrieving an entry of the flat hash table using an uncompressed block address of the uncompressed data, determining a compressed block address of the compressed data by executing at least one hash function and by determining a hash function in the at least one hash function for mapping the uncompressed block address to the compressed block address that corresponds to a space in a block storage device, storing the compressed data to the space that corresponds to the compressed block address, and updating the hash function index of the entry of the flat hash table with an index indicative of the hash function.

Abstract: Solutions are presented to reduce a number of data transfers between a host system and a storage device by utilizing a file path to identify data to be processed, thus enabling an offloading engine to independently locate the file and read corresponding data.

Abstract: A system and method for constructing a collaborative digital twin scene model for multiple underground robots belongs to the technical field of digital twin modeling for mines. The system includes a master robot i and sub-robots, both of which are connected to a main control module. The master robot i is equipped with a visualization module, a perception module, a computation module, and a communication module. The system and method for constructing a collaborative digital twin scene model for multiple underground robots is adopted to accurately measure and model the geometric and physical structures of tunnels. It enables the construction of a colored mesh map, which is further imported into Unity3D. Through this process, the pose transmission of the master robot i and the sub-robots within the UWB ranging range is realized, and the local colored mesh maps are stitched into a global colored mesh map.

Abstract: Various embodiments include an edge computing device. A processing unit receives instructions from a cloud computing system and writes them into a first memory and reads data from a second memory and sends it to the cloud. An instruction distribution module reads the instructions from the first memory and sends them to corresponding field devices. A data collection module collects data from the field devices and stores it in the second memory. The programmable logic unit generates periodic first and second time base signals. In the downlink direction, the processing unit, the first memory, and the instruction distribution module implement downlink instruction distribution based on the first time base signal and a first state machine. In the uplink direction, the processing unit, the second memory, and the data collection module implement uplink data transmission based on the second time base signal and a second state machine.

Abstract: The present invention relates to the technical field of medicine and provides a preparation method for large-specification dihydroxyboronphenylalanine lyophilized powder for injection. The preparation method for large-specification dihydroxyboronphenylalanine lyophilized powder for injection includes: mixing dihydroxyboronphenylalanine, a polyol, a base, and part of a solvent to obtain a first mixed solution; adjusting the pH of the first mixed solution by using a pH regulator, and adding the remaining part of the solvent to obtain a second mixed solution, wherein the concentration of dihydroxyboronphenylalanine in the second mixed solution is 160-250 mg/mL; and aliquoting the second mixed solution, followed by lyophilization, where the lyophilization includes pre-freezing, sublimation drying, and desorption drying. By the preparation method of the present invention, stable large-specification dihydroxyboronphenylalanine lyophilized powder for injection can be prepared.

Abstract: Methods and systems for performing a hardware acceleration process that includes a hardware offloading engine. The hardware offloading engine includes an interface for communicating with a host device and a hardware accelerator for performing the acceleration process. The hardware accelerator has a processor configured to: receive from the interface a hardware offloading command from the host device, the hardware offloading command including an operation code, an input pointer, a total input size, and a first input size, parse the operation code, the input pointer, the total input size, and the first input size from the hardware offloading command, retrieve input data based on the input pointer and the total input size, separate the input data into a first data stream and a second data stream based on the first input size, and execute an offloaded operation on the first data stream and the second data stream.

Abstract: A system includes a host device, a hardware offload engine, and a non-volatile storage to store on-disk data. The hardware offload engine is represented to the host device as being a storage having a virtual storage capacity, and the host device transmits an offload command to the hardware offload engine as a data write command without requiring kernel changes or special drivers.

Abstract: Systems and methods for accessing block storage devices are provided. In particular, a computing device may receive a write request including an uncompressed data and an uncompressed block address associated with the uncompressed data, generate compressed data by compressing the uncompressed data, determine a plurality of mapping candidates of compressed data blocks in the block storage devices based on the uncompressed block address, select a compressed data block from the plurality of mapping candidates that has sufficient capacity to store the compressed data, write the compressed data to the selected compressed data block, update metadata of the selected compressed data block to link the uncompressed block address to a compressed block address of the selected compressed data block, and write the selected compressed data block back to a respective block storage device of the block storage devices.

Abstract: Methods, systems, and devices for performing an acceleration process by offloading an operation. The system includes a hardware offloading engine that includes a hardware accelerator for performing the acceleration process. The hardware accelerator has a processor configured to receive a hardware offloading command, the hardware offloading command including an operation code, an input pointer, and an output pointer, in which at least one of the input pointer or the output pointer includes a unified data pointer that includes one or more bits of memory for identifying the source location for the input data or the destination location of the output data, parse the operation code, the input pointer, and the output pointer from the hardware offloading command, retrieve the input data based on the input pointer, and execute an offloaded operation on the input data based on the operation code.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may identify a throttling indicator for a shared resource associated with a modem at the UE. The CE may determine a configuration of the modem based on a configuration received from a Radio Resource Control layer of the UE. Based on the modem configuration and the throttling indicator, the UE may identify a throttling level to apply to the modem. The UE may adjust the modem configuration for communicating with a base station based on the throttling level in order to reduce resource usage below a usage threshold. By reducing usage of the shared resource by the modem, the UE may have a greater availability of the shared resource to meet the needs of other components of the UE. This may provide an improved user experience at the UE, among other benefits.

Abstract: A processor can include various processing pipelines that perform different data processing operations, with different pipelines having dedicated logic and memory circuits. A power management circuit can determine when to supply power to various pipelines, including the logic and memory circuits of the various pipelines, depending on a current operating mode of the processor. When a memory circuit transitions to a lower power state such as a sleep state, data can be saved to a different memory circuit that is not transitioning to a lower power state, and when the memory circuit is powered up again, the data can be restored from the different memory circuit.

Abstract: A method for adaptive mapping for data compression includes determining an input/output (I/O) request pattern, dynamically switching between a segment mapping mode and a flat hash table mapping mode based on the determined I/O request pattern, updating a shared mapping table for the segment mapping mode and the flat hash table mapping mode, and adjusting an entry of the mapping table based on the determined I/O request pattern and a status of the entry.

Abstract: Methods, systems, and apparatus, including computer-readable media, are described for processing an input image using a convolutional neural network (CNN). The CNN includes a sequence of layer blocks. Each of a first subset of the layer blocks in the sequence is configured to perform operations that include: i) receiving an input feature map for the layer block, ii) generating an expanded feature map from the input feature map using a group convolution, and iii) generating a reduced feature map from the expanded feature map. The input feature map is an h w feature map with c1 channels. The expanded feature map is an h w feature map with c2 channels, whereas the reduced feature map is an h w feature map with c1 channels. C2 is greater than c1. An output feature map is generated for the layer block from the reduced feature map.

Abstract: According to an aspect, there is provided a method performed by a network function consumer, NFC. The method comprises sending (701) a request (401) to a network function producer, NFP, wherein the request (401) is for context information for a first wireless device, and wherein the request (401) comprises one or more filter values identifying a subset of context information for the first wireless device required by the NFC. The subset of context information for the first wireless device required by the NF consumer is related to specific Protocol Data Unit, PDU, sessions.