Abstract: A method for simulating a particle transport may include recording transport paths of inputted particles and determining an uncertainty of each of lattice cells based on the transport paths of each batch of the inputted particles, a lattice cell being a qualified lattice cell if an uncertainty of the lattice cell does not exceed a first threshold; determining a standard-reaching rate of lattice cells in a region of interest (ROI), the ROI including at least one lattice cell, the standard-reaching rate of lattice cells in the ROI being equal to a ratio of the number of qualified lattice cells to a total number of lattice cells in the ROI; and if the standard-reaching rate of lattice cells in the ROI exceeds a second threshold, stopping inputting particles, and outputting the transport paths of the inputted particles.

Abstract: Edge device task management by receiving an indicator corresponding to a first container running a task on a first edge device of a cluster of edge devices, wherein the indicator indicates an error status of the first container, and wherein task data of the task is stored in a first local storage of the first edge device, selecting a second edge device from the cluster of edge devices, wherein a second container on the second edge device is to run the task, instructing the first and second edge devices to transfer the task data from the first local storage of the first edge device to a second local storage of the second edge device, and in response to receiving a notification that indicates the task data has been transferred from the first local storage to the second local storage, sending the task to the second container.

Abstract: The present disclosure relates to a glass fiber sizing agent for a daylighting panel. The sizing agent includes effective components and water. The sizing agent has a solid content of 2-8%. Percentage of solid mass of each of the effective components in a solid mass of the sizing agent is as follows: a silane coupling agent: 3-15%; a film-forming agent: 68-93%; a lubricant: 0.5-10%; an antistatic agent: 1-12%; and a pH regulator: 0-5%. The present disclosure further relates to a preparation method of the glass fiber sizing agent for a daylighting panel and use of the sizing agent in fields of glass fibers and composite materials. Compared with the prior art, glass fiber products produced from the sizing agent of the present disclosure have a suitable stiffness and wet-out speed, and the sizing agent has an excellent refractive index, which is similar to that of matrix resin.

Abstract: A single-step retrosynthesis method and system based on a multi-semantic network are provided. The method includes the following steps: inputting an ECFP4 feature and a SMILES word one-hot feature of a target product molecule during the single-step retrosynthesis prediction, and outputting the first k reactions which may occur on the target product molecule in a reaction template through the multi-semantic network. The SMILES string of a reactant corresponding to the target product molecule is calculated by applying the output reaction template into SMILES string of the target product molecule. The present disclosure is the first method for performing single-step retrosynthesis prediction by using a multi-semantic fusion network in the field of single-step retrosynthesis. It is a template-based single-step retrosynthesis method, and the prediction result has relatively high interpretability. The network learns fused semantic features, ECFP4 semantic features and SMILES word one-hot semantic features.

Abstract: Aspects of the present disclosure provide techniques for confidence score calibration for automatic transaction categorization. Embodiments include providing one or more first inputs to a prediction model based on a transaction of a user. Embodiments include receiving a prediction of an account with a confidence score from the prediction model based on the one or more first inputs. Embodiments include providing one or more second inputs to a calibration model based on the confidence score, a detail type associated with the account, and a number of accounts of the user. Embodiments include receiving a calibrated confidence score from the calibration model based on the one or more second inputs. Embodiments include determining whether to automatically categorize the transaction into the account based on the calibrated confidence score.

Abstract: A terminal transmits and receives a slot configured with a plurality of symbols. The terminal sets a length of a cyclic prefix added to each symbol based on a degree of compression of each symbol in time domain.

Abstract: The present disclosure provides a bioretrosynthetic method and system based on an AND-OR tree and single-step reaction template prediction. The method decomposes generation of a retrosynthetic pathway of a target molecule into multiple steps of the single-step reaction template prediction when conducting retrosynthesis on the target molecule. During the single-step reaction template prediction, a substrate molecule of the reaction template predicted in a previous step is used as a product molecule of a current reaction template to be predicted. Molecular characteristics of the product molecule are subjected to custom calculation using a SMILES sequence of the product molecule as an input, to be compatible with various single-step reaction template prediction models. The reaction template is determined according to a prediction result of the model, and extended based on a structure of the AND-OR tree. As a result, a potential synthetic pathway is found for the target molecule.

Abstract: This disclosure is directed to automated processes for attesting to trustworthiness of a host considered for connection to a data center network. The attestation process is performed in two attestation phases. In the first phase, attestation is performed on a smart network interface controller (“SNIC”) connected to an internal bus of the host using a first trusted platform module (“TPM”) of the SNIC. In the second phase, attestation is performed on the host by the SNIC using a second TPM connected to the internal bus of the host in response to a determination that the SNIC is trustworthy. The host is connected to the data center network in response to a determination by the SNIC that the host is trustworthy.

Abstract: Systems, methods and devices for establishing combinations of PUSCH subcarrier spacing and PRACH subcarrier spacing may include a wireless communication device determining a number of resource blocks to be occupied by a random access (RA) preamble and a PRACH frequency position parameter. The wireless communication device may allocate the resource blocks to the RA preamble according to the number of resource blocks to be occupied by the RA preamble and the PRACH frequency position parameter. The wireless communication device may transmit the RA preamble to a wireless communication node according to the allocated resource blocks.

Abstract: Provided is a method and system for predicting tumor mutation burden (TMB) in triple negative breast cancer (TNBC) based on nuclear scores and histopathological whole slide images (WSIs). The method includes the following steps: first, screening the histopathological WSIs of TNBC; calculating a TMB value of each patient according to gene mutation of each patient with TNBC, and dividing the TMB values into two groups with high and low TMB according to a set threshold; dividing the histopathological WSIs of TNBC into patches of a set size; screening a certain number of patches with high nuclear scores according to a nuclear score function; then building a convolutional neural network (CNN) classification model, and stochastically initializing parameters in the CNN classification model; and finally, putting the screened patches into the built CNN classification model for training, so as to automatically predict high or low TMB with the histopathological WSIs of TNBC.

Abstract: A method for simulating a particle transport may include recording transport paths of inputted particles and determining an uncertainty of each of lattice cells based on the transport paths of each batch of the inputted particles, a lattice cell being a qualified lattice cell if an uncertainty of the lattice cell does not exceed a first threshold; determining a standard-reaching rate of lattice cells in a region of interest (ROI), the ROI including at least one lattice cell, the standard-reaching rate of lattice cells in the ROI being equal to a ratio of the number of qualified lattice cells to a total number of lattice cells in the ROI; and if the standard-reaching rate of lattice cells in the ROI exceeds a second threshold, stopping inputting particles, and outputting the transport paths of the inputted particles.

Abstract: The application discloses a method for manufacturing a photomask, firstly determining a main pattern area of a photomask substrate and an auxiliary pattern area around the main pattern area; performing optical intensity simulation on patterns of the main pattern area and the auxiliary pattern area by means of an optical proximity correction (OPC) model, so as to ensure that the pattern of the auxiliary pattern area is not exposed on a photoresist on a wafer and the pattern of the main pattern area is exposed on the photoresist on the wafer during the integrated circuit manufacturing process; screening out a set of auxiliary pattern parameters; and forming the pattern of the main pattern area on the photomask substrate by means of a photomask manufacturing etching process, and forming the pattern of the auxiliary pattern area on the photomask substrate according to the auxiliary pattern parameters. The application also discloses a photomask.

Abstract: Predictive modeling within a special purpose hardware platform to determine scenarios that are most likely to increase conversion potential for each trial user and retention potential for each active subscriber of a service, collectively referred to as a propensity score. The predictive models are integrated with a contextual marketing system that uses a loss risk assessment to learn user behavior and optimize content messaging designed to improve actual conversion or retention behavior for the user.

Abstract: The present disclosure describes methods, systems and devices for configuring signal resource for physical random access channel (PRACH). One method includes configuring, by a base station, signal resource for a PRACH by mapping, by the base station, a PRACH slot pattern with a pattern parameter. Another method includes configuring, by a user equipment, signal resource for a PRACH by mapping, by the user equipment, a PRACH slot pattern with a pattern parameter.

Abstract: An automatic abnormal cell recognition method, the method including: 1) scanning a slide using a digital pathological scanner and obtaining a cytological slide image; 2) obtaining a set of centroid coordinates of all nuclei that is denoted as CentroidOfNucleus by automatically localizing nuclei of all cells in the cytological slide image using a feature fusion based localizing method; 3) obtaining a set of cell square region of interest (ROI) images that are denoted as ROI_images; 4) grouping all cell images in the ROI_images into different groups based on sampling without replacement, where each group contains ROW×COLUMN cell images with preset ROW and COLUMN parameters; obtaining a set of splice images; and 5) classifying all cell images in the splice image simultaneously by using the splice image as an input of a trained deep neural network; and recognizing cells classified as abnormal categories.

Abstract: Disclosed is a power sharing method, including: determining a transmit power of a UE on a first carrier and a transmit power of the UE on a second carrier; and receiving first uplink traffic transmitted by the UE on the first carrier according to the transmit power on the first carrier, and receiving second uplink traffic transmitted by the UE on the second carrier according to the transmit power on the second carrier. Further disclosed are a power sharing apparatus, a storage medium, and a processor.

Abstract: Disclosed are a resource allocation method for demodulation reference signals and a base station. The resource allocation method for demodulation reference signals executed by the base station includes: determining an allocation method for a resource required for transmitting a plurality of demodulation reference signals and a parameter for generating the plurality of demodulation reference signals, the plurality of demodulation reference signals respectively corresponding to a plurality of user equipments, the allocation method being capable of supporting transmission of the plurality of demodulation reference signals on the same time domain resource, and the parameter being capable of making the demodulation reference signals sent with the same time frequency resource distinguished from each other; and transmitting information indicating the allocation method and information indicating the parameter to the plurality of user equipments.

Abstract: Edge device task management by receiving an indicator corresponding to a first container running a task on a first edge device of a cluster of edge devices, wherein the indicator indicates an error status of the first container, and wherein task data of the task is stored in a first local storage of the first edge device, selecting a second edge device from the cluster of edge devices, wherein a second container on the second edge device is to run the task, instructing the first and second edge devices to transfer the task data from the first local storage of the first edge device to a second local storage of the second edge device, and in response to receiving a notification that indicates the task data has been transferred from the first local storage to the second local storage, sending the task to the second container.

Abstract: A method and an electronic apparatus for acquiring a floor map of a room layout are provided.

Abstract: The present invention provides a method for controlling a connection between an ONU and an OLT, wherein the method includes the steps of: (a) downloading an OMCI message from the OLT; (b) enabling an OMCI management program to process the OMCI message to try to generate a plurality of models; (c) if the plurality of models are not successfully generated by using the OMCI management program to process the OMCI message, modifying the OMCI management program to generate a modified OMCI management program when the ONU is not connected with the OLT; and (d) using the modified OMCI management program to process the OMCI message to try to generate the plurality of models.