Abstract: A document processing method and device are provided. The method includes: acquiring a template of a standard format document, the template including folders having a hierarchical structure, generating folder labels corresponding to the folders on the basis of the folders, acquiring a document to be processed, generating a document label of the document to be processed on the basis of the document to be processed, determining whether there is a folder label matched with the document label of the document to be processed, and associating the document to be processed with the folder corresponding to the matched folder label in a case that there is the folder label.

Abstract: Embodiments of the present application relate to a method, apparatus, and system for operating an electronic account or displaying a payment page. The method includes receiving, from a first client terminal, a payment platform display page acquisition request, providing, to the first client terminal, a payment platform display page, wherein the payment platform display page includes a first script code, wherein in the event that the first script code is executed, the first script code causes the first client terminal to obtain a payment page including a digital object unique identifier from a payment server and to display the payment page, wherein the digital object unique identifier indicates an upcoming payment sum, receiving verification information, and sending the verification information to the payment server to instruct the payment server to execute a deduction operation on an electronic account.

Abstract: Systems and techniques for classification based on annotation information are presented. In one example, a system trains a convolutional neural network based on training data and a plurality of images. The plurality of images is associated with a plurality of masks, a plurality of image level labels, and/or a bounding box. The system also generates a first loss function based on the plurality of masks, a second loss function based on the plurality of image level labels, and a third loss function based on the bounding box. Furthermore, the system generates a fourth loss function based on the first loss function, the second loss function and the third loss function, where the fourth loss function is iteratively back propagated to tune parameters of the convolutional neural network. The system also predicts a classification label for an input image based on the convolutional neural network.

Abstract: An adjusting and control method for 3D printing precise shape forming of instant recuperation mashed potato relates to the field of new food processing technologies. First, a potato is cleaned, peeled, and sliced to be steamed. Subsequently, the steamed potato slices are pulped until a pulp is smooth and shiny. A colloid is added, and after mixing the pulp with the colloid, the mixture is steamed to cook the potato and fully dissolve the colloid. After the mixture is cooled to room temperature, white chocolate powder is added to the mixture. To implement refined printing of recuperation mashed potato, printing temperature, a moving speed of the nozzle, a discharging speed and so on are selected and determined to perform printing. Precision of a print object may reach more than 95%, and the object does not collapse within 40 min to 60 min after being printed.

Abstract: A culture medium for improving the development of bovine in vitro fertilized embryos and cloned embryos includes a SOF basal medium, progesterone, vitamin E, L-carnitine, FGF, corticosterone, citrulline, EGF, IGF and LIF.

Abstract: Techniques are described for predicting readmissions of patients to an inpatient healthcare facility. In an embodiment, a method comprises applying, by a system comprising a processor, applying, by a system operatively coupled to a processor, a readmission risk forecasting model to medical history data for a patient, wherein the readmission risk forecasting model comprises an attention-based graph neural network (A-GNN). The method further comprises, based on the applying, generating, by the system, a readmission risk score for the patient that reflects a probability of readmission of the patient following discharge from an inpatient healthcare facility. The method further comprises facilitating providing, by the system, the readmission risk score to at least one of the patient or a clinician involved in care of the patient.

Abstract: An apparatus includes an interface and a plurality of impedance branches. The interface may be configured to receive a data signal and a plurality of selection signals. The plurality of impedance branches may comprise a group of branches and a separated branch. The plurality of impedance branches may be configured to adjust an impedance value and a gain of a data path for the data signal in response to the selection signals. The group of branches may be controlled in response to the selection signals to select the impedance value and a first gain value in a first mode. The separated branch may replace one of the plurality of impedance branches in the group of branches in response to the selection signals to select a second gain value in a second mode.

Abstract: The present invention provides a novel antibiotic compound represented by the following formula (I), a pharmaceutically acceptable salt thereof, an ester thereof, a prodrug thereof, a solvate thereof, or a deuterated analog thereof, or a stereoisomer thereof. The compound of the present invention exhibits excellent antibacterial activity, especially against Gram bacteria. wherein each group is defined as in the description.

Abstract: A fully-automatic transplanting combined machine includes a traction apparatus, operation apparatus and a control system. The operation apparatus is mounted on the traction apparatus with a main body frame and is towed behind the traction apparatus. The operation apparatus includes a rotary tillage furrowing system, a system for slightly preparing soil and opening narrow furrows, a planting system, and a soil covering compacting system which are arranged successively from front to back. The planting system includes more than one planting unit. In the present disclosure, the fully-automatic transplanting combined machine is capable of orderly performing rotary tillage, cleaning stubble, leveling a border check, opening a furrow, cutting narrow slits, transplanting, covering soil, compacting soil in untilled soil at one process, so as to create the soil requirements for high-speed transplanting of blanket seedlings such as rape and other crops.

Abstract: A battery pack is detachably mountable to a power tool. The power tool includes a positive connection terminal, a negative connection terminal and a tool communication terminal. The battery pack includes a housing, a cell group, a positive power supply terminal, a negative power supply terminal, and a battery pack communication terminal. The battery pack is connected to the power tool in an installation direction. The battery pack communication terminal includes a first connection portion which is in contact connection to an upper portion of the tool communication terminal, and a second connection portion which is in contact connection to a lower portion of the tool communication terminal. The first and the second connection portion are staggered in the installation direction.

Abstract: A signal sending and receiving method includes: receiving, by a terminal device, at least one piece of resource configuration information for determining N reference signal resource groups, and each of the N reference signal resource groups includes at least one reference signal resource; and sending a reference signal on a resource in an ith reference signal resource group in the N reference signal resource groups by using a jth antenna group corresponding to the ith reference signal resource group, where the jth antenna group includes at least one antenna. The N reference signal resource groups correspond to N antenna groups, and any two of the N antenna groups are different.

Abstract: A control method for improving forming and 3D precise printing performance of a thawed surimi system relates to the field of 3D printing food material preparation technologies. In the present invention, steps including thawing, mixing, grinding, performing, printing, setting, and cooking are performed on frozen surimi. A thawed surimi gel system of the present invention can reduce the printing temperature, and increase the discharging rate and the three-dimensional forming rate. In the present invention, an acid-induced surimi gel is formed by adding linseed gum and glucolactone, and the surimi gel has stable viscosity and fluidity. The surimi slurry is minced and does not easily cause blockage, and discharging is smooth. By means of 3D precise printing technology, the surimi gel system of the present invention may be made into a cold dish of fish product that retains original properties and taste of the surimi product.

Abstract: For workflow test, a processor executes a workflow instance. The workflow instance includes a first workflow description of step names for a plurality of jobs. The processor further receives a modification to the first workflow description as the workflow instance executes. In addition, the processor synchronizes the modified workflow description to the executing workflow instance as the workflow instance executes. A workflow context of the executing workflow instance is preserved.

Abstract: Techniques are provided for determining confident data samples for machine learning (ML) models on unseen data. In one embodiment, a method is provided that comprises extracting, by a system comprising a processor, a feature vector for a data sample based on projection of the data sample onto a standard feature space. The method further comprises processing, by the system, the feature vector using an outlier detection model to determine whether the data sample is within a scope of a training dataset used to train a machine learning model, wherein the outlier detection model was trained using features extracted from the training dataset based on projection of data samples included in the training dataset onto the standard feature space.

Abstract: Error injection techniques involve, while a data storage system is in an error injection mode, injecting information representing an error of a storage device array into a first switch, such that the information representing the error is passed from a first downstream port of the first switch to a computing device through a second switch, the first and second switches being connected to the storage device array via downstream ports, and the first downstream port being connected to a second downstream port of the second switch; and determining error handling capability of the data storage system by obtaining a handling result of the information representing the error from the computing device. Accordingly, errors from storage devices can be simulated to facilitate detecting error handling in the entire I/O path comprehensively.

Abstract: Systems and techniques for classification and localization based on annotation information are presented. In one example, a system trains a convolutional neural network based on training data and a plurality of images. The training data is associated with a plurality of patients from at least one imaging device. The plurality of images is associated with a plurality of masks from a plurality of objects. The convolutional neural network comprises a decoder consisting of at least one up-sampling layer and at least one convolutional layer. The system also generates a loss function based on the plurality of masks, where the loss function is iteratively back propagated to tune parameters of the convolutional neural network. The system also predicts a classification label for an input image based on the convolutional neural network.

Abstract: Systems, apparatus, instructions, and methods for medical machine time-series event data processing are disclosed. An example time series event data processing apparatus includes memory storing instructions and one-dimensional time series healthcare-related data; and at least one processor. The example at least one processor is to: execute artificial intelligence model(s) trained on aggregated time series data to at least one of a) predict a future medical machine event, b) detect a medical machine event, or c) classify the medical machine event using the one-dimensional time series healthcare-related data; when the artificial intelligence model(s) are executed to predict the future medical machine event, output an alert related to the predicted future medical machine event to trigger a next action; and when the artificial intelligence model(s) are executed to detect and/or classify the medical machine event, label the medical machine event and output the labeled event to trigger the next action.

Abstract: A continuous slurry-bed tank reactor, comprising a tank reactor body, an agitator, and tubular separation membranes. A method of using the continuous slurry-bed tank reactor comprising adding a catalyst, feeding reactants, stopping feeding the reactants, starting a heating system, changing directions of the reactants flowing through the tubular separation membranes.