Abstract: The present application disclose a method and a device for detecting and correcting abnormal scoring of peer reviews, which includes: converting collected scoring data into a two-dimensional matrix and preprocessing the data; determining the anomaly of the processed structured data with a one-way anomaly detection method, a consistency check method and a two-way anomaly detection method, and classifying the detected abnormal data into an abnormal data set; repairing the abnormal data for the abnormal data set with an information entropy correction method; generating an ability evaluation report according to the abnormal data set, performing weighed averaging on the corrected scoring data according to the scoring weights of reviewers in the ability evaluation report to obtain a final scoring result, and generating an abnormal scoring correction report. The present application can effectively detect the abnormal phenomenon of peer reviews in the performance appraisal of enterprise personnel.

Abstract: The present application disclose a method and a device for detecting and correcting abnormal scoring of peer reviews, which includes: converting collected scoring data into a two-dimensional matrix and preprocessing the data; determining the anomaly of the processed structured data with a one-way anomaly detection method, a consistency check method and a two-way anomaly detection method, and classifying the detected abnormal data into an abnormal data set; repairing the abnormal data for the abnormal data set with an information entropy correction method; generating an ability evaluation report according to the abnormal data set, performing weighed averaging on the corrected scoring data according to the scoring weights of reviewers in the ability evaluation report to obtain a final scoring result, and generating an abnormal scoring correction report. The present application can effectively detect the abnormal phenomenon of peer reviews in the performance appraisal of enterprise personnel.

Abstract: Disclosed are an information interaction method and apparatus, and an electronic device. One specific embodiment of the method comprises: in response to a user logging in to a live interface initiated based on a multimedia conference, displaying a live data stream of the multimedia conference in the live interface initiated based on the multimedia conference, wherein the live data stream is generated on the basis of an interactive data stream of a participating user of the multimedia conference; receiving interactive content input by the user on the basis of the live data stream, and generating interactive information according to the interactive content; and sending the interactive information to a serving end, so as to instruct the serving end to send the interactive information to a terminal device that displays the live interface. The communication efficiency of information related to the content of a multimedia conference is thus improved.

Abstract: The present disclosure provides interferon receptor agonists with improved safety profiles and therapeutic indices. The interferon receptor agonists are attenuated through masking and/or reduced receptor binding as compared to a wild-type interferon. IFN receptor agonists optionally further comprise a targeting moiety, e.g., a targeting moiety that recognizes a tumor- or immune cell-associated antigen and directs the interferon receptor agonist to a tumor site and/or tumor-reactive immune cells. The disclosure further provides pharmaceutical compositions comprising the interferon receptor agonists, and methods of use of the interferon receptor agonists in therapy, as well as nucleic acids encoding the interferon receptor agonists, recombinant cells that express the interferon receptor agonists and methods of producing the interferon receptor agonists.

Abstract: The present disclosure provides interferon receptor agonists with improved safety profiles and therapeutic indices. The interferon receptor agonists are attenuated through masking and/or reduced receptor binding as compared to a wild-type interferon. IFN receptor agonists optionally further comprise a targeting moiety, e.g., a targeting moiety that recognizes a tumor- or immune cell-associated antigen and directs the interferon receptor agonist to a tumor site and/or tumor-reactive immune cells. The disclosure further provides pharmaceutical compositions comprising the interferon receptor agonists, and methods of use of the interferon receptor agonists in therapy, as well as nucleic acids encoding the interferon receptor agonists, recombinant cells that express the interferon receptor agonists and methods of producing the interferon receptor agonists.

Abstract: The present invention discloses a two-step anti-fraud vehicle insurance image collecting and quality testing method, system and device, the method comprises: step 1, collecting vehicle insurance scene images and marking vehicle orientation; step 2, performing object detection on the collected vehicle insurance scene images and screening to obtain object coordinates; step 3, according to the vehicle orientation and the object coordinates, obtaining the specific position of the object coordinates located in the whole vehicle; step 4, according to the object coordinates screened in step 2, performing vehicle component detection on the vehicle insurance scene images, obtaining the component coordinates of the vehicle components, and screening to obtain the vehicle component closest to the object coordinates; step 5, according to the specific position of the object coordinates located in the whole vehicle and the vehicle components closest to the object coordinates, obtaining the position of the vehicle components

Abstract: The present invention discloses a preprocessing and imputing method for structural data, comprising: step 1, querying the missing information of an original data, counting missing values, and obtaining a missing rate for the original data; step 2, based on the missing rate, performing listwise deletion on the original data, and then traversing the rows to generate corresponding dichotomous arrays, converting the arrays to the form of histogram, calculating the maximum rectangular area formed by the corresponding histogram, and then sorting all rectangular areas to obtain the maximum complete information matrix; step 3, using multiple imputation by chained equations, auto-encoders, or generative adversarial imputation networks to impute missing values on the original data.

Abstract: The present invention discloses a method and system of image annotation and element extraction for automobile insurance anti-fraud. The method of the present invention extracts anti-fraud elements from images such as automobile insurance scene collection and post supplementary images. The system of the present invention comprises an automobile insurance element table construction module, an image acquisition module, an annotation module and an element extraction module, wherein the annotation module comprises a multi-label classification annotation module, an automobile damage location annotation module and a personnel identity annotation module; and the element extraction module is used for performing element extraction on automobile insurance data.