Abstract: Exemplary methods of electroplating include contacting a patterned substrate with a plating bath in an electroplating chamber, where the pattern substrate includes at least one opening having a bottom surface and one or more sidewall surfaces. The methods may further include forming a nanotwin-containing metal material in the at least one opening. The metal material may be formed by two or more cycles that include delivering a forward current from a power supply through the plating bath of the electroplating chamber for a first period of time, plating a first amount of the metal on the bottom surface of the opening on the patterned substrate and a second amount of the metal on the sidewall surfaces of the opening, and delivering a reverse current from the power supply through the plating bath of the electroplating chamber to remove some of the metal plated in the opening on the patterned substrate.

Abstract: Provided are IL-15 variants and heterodimeric IL-15/IL-15R?-Fc fusion proteins comprising the IL-15 variants, the methods of producing the same and the uses thereof. The IL-15 variants and fusion proteins of provided can be used as a potent agent for the treatment of cancers.

Abstract: An embodiment includes parsing conversation data to extract a message dataset and a user dataset. The embodiment classifies the message dataset into a category using machine learning processing and identifies the category as a top category based at least in part on an amount of the conversation data associated with the category. The embodiment generates impact data associated with the user dataset based on actions in the conversation data by the user. The embodiment generates role data associated with the user by applying a rule to the conversation data for the user. The embodiment generates key index data associated with the message dataset by identifying interactions with a message represented by the message dataset. The embodiment generates output data arranged according to a specified data format that is compatible with a user interface.

Abstract: A method of clustering data generated by an unknown model, the method including accessing the data, wherein the data includes a prediction target and a confidence, extracting a data group with high prediction confidence from the data, wherein the data group comprises a plurality of data cases, and where each of the data cases is described by a plurality of predictors, identifying high rank predictors of each the data cases in the data group, transforming the data group into a transformed data group including only the high rank predictors for each of the data cases, wherein the high rank predictors are ranked within each of the data cases included in the transformed data group, clustering the transformed data group to generate clusters, and profiling the clusters to extract an insight about the unknown model.

Abstract: A recombinant fusion protein comprising a human erythropoietin peptide portion linked to an immunoglobulin peptide portion is described. The fusion protein has a prolonged half-life in vivo in comparison to naturally occurring or recombinant native human erythropoietin. In one embodiment of the invention, the protein has a half-life in vivo at least three fold higher than native human erythropoietin. The fusion protein also exhibits enhanced erythropoietic bioactivity in comparison to native human erythropoietin. In one embodiment, the fusion protein comprises the complete peptide sequence of a human erythropoietin (EPO) molecule and the peptide sequence of an Fc fragment of human immunoglobulin IgG1. The Fc fragment in the fusion protein includes the hinge region, CH2 and CH3 domains of human immunoglobulin IgG1. The EPO molecule may be linked directly to the Fc fragment to avoid extraneous peptide linkers and lessen the risk of an immunogenic response when administered in vivo.

Abstract: A method, a structure, and a computer system for object trail analytics. The exemplary embodiments may include obtaining time series data detailing an average speed of one or more roads within a traffic network at one or more times. The exemplary embodiments may further include extracting one or more features corresponding to the time series data, and generating one or more time series forecasting models based on the time series data and the one or more features. Additionally, the exemplary embodiments may include identifying a current location of a moving object within the traffic network, and predicting a speed of the moving object based on applying the one or more time series forecasting models to the current location.

Abstract: A wireless communication method, a terminal device, and a network device are provided. The method comprises following operations. A terminal device receives indication information. The indication information is an acknowledgement (ACK)/non-acknowledgement (NACK) indication of at least one Hybrid Automatic Repeat Request (HARQ) process, and the HARQ process is an HARQ process corresponding to a first resource and/or a second resource, and the first resource has a different configuration mode from the second resource. The terminal device processes or does not process data transmission on the second resource according to the indication information, and/or processes data transmission on the first resource according to the indication information.

Abstract: The present disclosure relates to a system and method for automatic adjustment of a planned train operation chart. The system comprises a train operation data analysis module, a passenger flow data matching module, and an operation chart adjustment module that are connected in sequence. The train operation data analysis module is connected to the operation chart adjustment module; the train operation data analysis module assesses the deviation between an actual operation chart and a planned operation chart on the basis of ATS historical operation data to obtain an operation chart assessment result; the passenger flow data matching module calculates the actual passenger flow distribution on the basis of on-board weighing passenger flow data and AFC passenger flow data, and matches the actual passenger flow distribution with the actual operation chart to obtain a passenger flow matching result; and the operation chart adjustment module performs optimizing adjustment.

Abstract: In an approach to efficient model adjustment utilizing a dual model system, one or more computer processors create a subset of a dataset utilizing a trained primary model; create a secondary model based on the created subset of the dataset; calculate a confidence of a case utilizing the trained primary model, wherein the confidence is a robustness indicator of a model indicating a capacity of the model to meet or exceed performance when applied to the dataset; responsive to the calculated confidence not exceeding a confidence threshold, generate a score of the case utilizing the created secondary model; responsive to an incorrect classification, update the created subset of the dataset with the case; retrain the secondary model utilizing the updated subset of the dataset.

Abstract: A computer-implemented method, system and computer program product for generating personalized recommendations to address a target problem. A machine learning prediction model directed to a target problem for an individual is built with historical data. After receiving data about the individual, a prediction for the individual is obtained in connection with the target problem by the built model using the received data about the individual. Key predictors (e.g., parameters) and their weight for the individual are generated using the prediction by an explanation model. Record(s) are identified from the historical data by performing similarity analysis of the historical data using the key predictors and their weight. Such records provide a population closely related to the individual with respect to the target problem. These records are then analyzed and recommendations are provided to a user to solve the target problem for the individual based on the analysis of the identified record(s).

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Abstract: An approach is provided in which the approach generates a parallel chart based on multiple records that includes a set of variable values corresponding to a set of variables. To generate the parallel chart, the approach arranges the set of variables on the parallel chart in a variable order based on at least one variable arrangement rule. The approach arranges an initial variable value order for each one of the set of variables, and computes a lucidity score based on the variable order and the initial variable value order of each of the set of variables. The lucidity score is a measurement of the clarity of the parallel chart. The approach adjusts the variable value order of at least one of the set of variables to increase the lucidity score and optimizes the clarity of the parallel chart based on the adjusted variable value order.

Abstract: The present application provides a video partitioning method, a video transmission method, a server, an adaptor and a storage medium. The method includes: generating, according to a bit stream of each sub-image tile of an encoded file of an original video, a corresponding video track which is encapsulated into a video file; parsing the video file to obtain video frame position information of each video track; and generating a virtual slicing information file according to a serial number of each sub-image tile of the encoded file and the video frame position information, and generating a video playback index file according to the serial number of each sub-image tile.

Abstract: A method and apparatus for TRS activation, a terminal device, and a network device are provided. The method comprises: a terminal device receives a first activation instruction sent by a network device, the first activation instruction being used for activating a TRS, and the TRS being used for fast Scell activation; and the terminal device measures the TRS, the measured TRS being used for time-frequency synchronization with a Scell.

Abstract: The present application relates to the field of mobile communication. Disclosed are a secondary cell activation method, an apparatus, a device, and a storage medium. The method comprises: receiving a reference signal activation signaling, the reference signal activation signaling being used for activating a reference signal, the reference signal being used for activation of a secondary cell; receiving the reference signal on the basis of the reference signal activation signaling, and activating the secondary cell. Obviated is the need to wait further to receive a first SSB to activate the secondary cell, thus reducing the length of time spent on waiting to receive the first SSB, reducing the delay in activating the secondary cell, and increasing the accuracy of activating the secondary cell.

Abstract: An embodiment includes detecting an interface element and an element attribute of the interface element in a series of views of a user interface, and then after an update of the user interface, detecting a candidate element and a candidate element attribute in a series of views of the updated user interface. The embodiment then determines that the updated user interface lacks any errors using a decision tree that includes comparisons of all interface elements of the user interface to corresponding candidate elements of the updated user interface. The embodiment then generates an optimized decision tree based at least in part on an analysis of the comparisons of the user interface to the updated user interface resulting in a condition that allows for the determining of a lack of errors based on comparisons of a subset of the interface elements to corresponding candidate elements.

Abstract: The present application relates to the field of communications. Disclosed are a delay compensation method and apparatus, a device, and a storage medium. The method comprises: a terminal reports first information to a network device, the first information being used for assisting the terminal or the network device to perform delay compensation, so that high clock synchronization precision is maintained between the terminal and the network device.

Abstract: An embodiment generates an initial set of training data from monitoring data. The initial set of training data is generated by combining outputs from a plurality of pretrained classifiers. The embodiment trains a new classification model using the initial set of training data to identify anomalies in monitoring data. The embodiment performs a multiple-level clustering of the data samples resulting in a plurality of clusters of sub-clusters of data samples, and generates a review list of data samples by selecting a representative data sample from each of the clusters. The embodiment receives an updated data sample from the expert review that includes a revised target classification for at least one of the data samples of the expert review list. The embodiment then trains another replacement classification model using a revised set of training data that includes the updated data sample and associated revised target classification.

Abstract: A utility vehicle for power emergency repair includes a cab, a carriage and a lighting device, including mounting bases, a wire pole, a rotary base and a lamp assembly. A rotary shaft is bridged between the mounting bases, and the rotary base is fixedly connected to the rotary shaft. First and second positioning units are provided on the top of the carriage. The rotary base has first and second positioning surfaces, the first positioning unit includes a first limiting platform, and the second positioning unit includes a rotation limiting plate and positioning plates. The positioning plates is supported on a lower end surface of the rotation limiting plate. The utility vehicle further includes a driving assembly and first and second contacts. A trigger signal is generated and the driving assembly is controlled to release braking on the rotary shaft when the first and second contacts contact each other.

Abstract: A resource scheduling method, a terminal device, and a network device are provided. The method includes: a terminal device receiving first scheduling information, the first scheduling information being used for scheduling at least two physical channels; and the terminal device determining, according to the first scheduling information, transmission resources for the at least two physical channels.