Abstract: A pixel circuit and a driving method therefor, and a display panel. The pixel circuit includes a driving circuit, a data writing circuit, a compensation storage circuit, a first light-emitting control circuit and a second light-emitting control circuit. The driving circuit includes a control end, a first end, and a second end, and is configured to control a driving current which flows through the first end and the second end and which is used for driving a light-emitting element to emit light; the data writing circuit is connected to a first scanning signal line and is configured to, in response to a first scanning signal provided by the first scanning signal line, write a data signal into the first end of the driving circuit; the data writing circuit and the first light-emitting control circuit repel one another in a connected state under the control of the first scanning signal.

Abstract: The invention relates generally to recombinant human sialidases and recombinant sialidase fusion proteins, wherein the sialidase optionally contains one or more mutations compared to wild-type human sialidase, e.g., a substitution, deletion, or addition of at least one amino acid. The invention also provides antibody conjugates including a sialidase and an antibody or a portion thereof. The invention further relates to methods of using the sialidase fusion proteins or antibody conjugates for treating cancer.

Abstract: The disclosure provides a Sense Amplifier (SA), a memory and a method for controlling the SA, and relates to the technical field of semiconductor memories. The SA includes: an amplifier module; an offset voltage storage unit electrically connected to the amplifier module and configured to store an offset voltage of the amplifier module in an offset elimination stage of the SA; and a load compensation unit electrically connected to the amplifier module and configured to compensate a difference between loads of the amplifier module in an amplification stage of the SA. The disclosure may improve an accuracy of reading data of the SA.

Abstract: A machine translation system, a ChatOps system, a method for a context-aware language machine identification, and computer program product. One embodiment of the machine translation system may include a density calculator. The density calculator may be adapted to calculate a part of speech (POS) density for a plurality of word tokens in an input text, calculate a knowledge density for the plurality of word tokens, and calculate an information density for the plurality of word tokens using the POS density and the knowledge density. In some embodiments, the machine translation system may further comprise a sememe attacher and a context translator.

Abstract: Aspects of the invention include systems and methods configured to efficiently evaluate the efforts of a code migration (e.g., porting task) between different platforms. A non-limiting example computer-implemented method includes receiving a function of a source platform. The function can include a plurality of fields. An initial vector is constructed for each of the plurality of fields. The initial vector encodes a value of the respective field according to an encoding rule. The initial vectors are merged into a single final vector and the final vector is classified into one of a plurality of system function families of the source platform. A vector of a target platform at a minimum distance to the final vector is identified and an assessment is provided that includes a difficulty in porting a project comprising the function between the source platform and the target platform based at least in part on the minimum distance.

Abstract: A system and method are provided to determine at least one of equivalent isotropic radiated power (EIRP) or effective isotropic sensitivity (EIS) of an antenna under test (AUT) in a test chamber, the AUT including an antenna array with an array phase center that is offset from a center of a quiet zone of the test chamber. The method includes performing a local beam peak direction scan of an antenna pattern of the AUT using a probe antenna located at laterally offset positions at a near-field distance from the AUT to determine a beam peak direction; performing EIRP and/or EIS near-field measurements of the AUT in the determined beam peak direction using the probe antenna located at near-field distances from the AUT in a radial direction; deriving a far-field equivalent of the EIRP and/or EIS near-field measurement along the determined beam peak direction; and deriving the beam peak direction of the AUT.

Abstract: Aspects include determining a coding intention and a dimension of interest to a user. A plurality of relevant projects that each include a logical code block that meets the coding intention are located. The locating includes searching a plurality of code repositories based at least in part on the coding intention. A score is assigned to each of the plurality of logical code blocks based at least in part on properties associated with the logical code blocks and on the dimension of interest to the user. A logical code block with the highest score is promoted to the user.

Abstract: The present disclosure provides a computer-implemented method, computer system and computer program product for text processing. The present in invention may include obtaining an original text input from a collaborative development environment. The present invention may include extracting a first text statement from the original input text. The present invention may include calculating a similarity value between the first text statement and a second text statement, wherein the second text statement is obtained from a statement database. The present invention may include comparing the similarity value to a pre-set threshold.

Abstract: A multi-layer language translator operating in conjunction with a syntax-based model, coupled with machine learning and artificial intelligence, performs language translations from a source language text to text expressed in a target language. A relevancy-based “chunking” module breaks a source text into smaller units and applies a part-of-speech tag to some or all of the units. A hierarchy-based structuring module determines grammatical structure of the source text based, at least in part, on the applied part-of-speech tags. The hierarchy-based structuring module recursively combines grammatically linked units into one or more phrases, and applies to the phrases higher-level tags. A syntax-based translating module translates the units and/or phrases into the target language, and based on syntax differences between the source and target languages, reconfigures the translated text, as needed, such that the translated text is expressed in the target language using target language syntax rules and conventions.

Abstract: Embodiments for locating performance hot spots include collecting sample data having instruction addresses, the sample data being for a neural network model and determining instructions in the instruction addresses that are performance hot spots. A listing file is used to map the instructions of the sample data that are performance hot spots to locations in a lower-level intermediate representation. A mapping file is used to map the locations of the lower-level intermediate representation that are performance hot spots to operations in one or more higher-level representations, one or more of the operations corresponding to the performance hot spots, the mapping file being generated from compiling the neural network model.

Abstract: Disclosed are a computer-implemented method, a system, and a computer program product for system-level tunable parameter identification. Performance characteristic data for an application to be tuned can be obtained by one or more processing units. At least one system-level tunable parameter for the application to be tuned can be identified by one or more processing units based on the obtained performance characteristic data for the application to be tuned and a pattern between training performance characteristic data and a set of training system-level parameter-related correlation coefficients. The set of training system-level parameter-related correlation coefficients can be respective correlation coefficients of system-level tunable parameters with respect to at least one performance metric.

Abstract: Synching multiple streams in a complex enterprise product by collecting and analyzing stream dependency data. Collection and analysis of data for large scale and complex enterprise results in a multi-dimensional relationship diagram that highlights the interconnected dependencies of the streams. This allows enterprise software users to more easily determine and select which stream (or streams) will help the user to perform a given task.

Abstract: Embodiments of the present disclosure relate to weight matrix prediction. In an embodiment, a computer-implemented method is disclosed. The method comprises sending a candidate weight matrix of a neural network to one of a plurality of computing nodes comprised in a computing system to perform a testing iteration. The method further comprises receiving a testing loss value from the one of the plurality of computing nodes based on the testing iteration. The method further comprises evaluating whether the testing loss value is applicable. The method further comprises determining that the candidate weight matrix is available to be employed in a new formal iteration in response to the testing loss value being applicable. In other embodiments, a system and a computer program product are disclosed.

Abstract: A system and method are provided to determine at least one of equivalent isotropic radiated power (EIRP) or effective isotropic sensitivity (EIS) of an antenna under test (AUT) in a test chamber, the AUT including an antenna array with an array phase center that is offset from a center of a quiet zone of the test chamber. The method includes performing a local beam peak direction scan of an antenna pattern of the AUT using a probe antenna located at laterally offset positions at a near-field distance from the AUT to determine a beam peak direction; performing EIRP and/or EIS near-field measurements of the AUT in the determined beam peak direction using the probe antenna located at near-field distances from the AUT in a radial direction; deriving a far-field equivalent of the EIRP and/or EIS near-field measurement along the determined beam peak direction; and deriving the beam peak direction of the AUT.

Abstract: Provided are a method and an apparatus for controlling an under-display camera, and the under-display camera structure. The method includes: when a camera is in a turned-on state, lamp beads close to a camera end are turned off and lamp beads far away from the camera are controlled to be in a lighting state, and light emitted by the second-type lamp beads forms a circle of light on the convex glass after being refracted by the convex glass; and when the camera is in a turned-off state, the plurality of lamp beads are controlled to be in a lighting state, and backlight for the convex glass after being refracted is provided by the convex glass. When the camera is turned on, the light emitted by the lamp beads far away from the camera forms a circle of light on the convex glass after being refracted by the convex glass.

Abstract: Aspects of the present disclosure relate to multi-spectrum visual object recognition. A first image corresponding to visible light and a second image corresponding to invisible light with respect to an object can be obtained. A first contour of the object can be identified based on the first image. A second contour of the object can be identified based on the second image. The first contour of the object and the second contour of the object can be integrated to generate a multi-spectrum contour of the object. The object can be recognized using the multi-spectrum contour of the object.

Abstract: A method includes: obtaining, by a database server, security policies associated with a database hosted by the database server; obtaining, by the database server, first database data associated with the database; creating, by the database server, a knowledge distillation model using the security policies and the first database data; obtaining, by the database server, second database data associated with the database; creating, by the database server, a classification model using the second database data and an output of the knowledge distillation model; receiving, by the database server, a client database request to the database; determining, by the database server, a new security policy rule set using the classification model; and applying, by the database server, the new security policy rule set to the client database request.

Abstract: Provided are a flexible screen support device and an intelligent terminal. The flexible screen support device includes a bending plate, a connection rope, and a driving mechanism. The bending plate includes multiple support blocks hingedly connected in sequence. The width of the upper part of each support block gradually decreases to form a rotation gap between adjacent support blocks. One part of the connection rope penetrates through the upper parts of the multiple support blocks. The other part of the connection rope penetrates through the lower parts of the multiple support blocks. The driving mechanism is configured to pull the one part of the connection rope so that the upper parts of adjacent support blocks are in contact with one another to bend the bending plate.

Abstract: In an approach, a processor extracts an audio signal from a video clip. A processor converts the audio signal into a text sequence. A processor selects a first set of keywords from the text sequence, the first set of keywords corresponding to a first audio segment of the audio signal. A processor tags a target video segment of the video clip with the first set of keywords, the target video segment corresponding to the first audio segment.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for user behavior management. In embodiments, a group of states of a user of an application system within a previous time period may be obtained. A state in the group of states may be associated with a privilege of the user for accessing resources in the application system during the previous time period. A feature of the user may be generated based on the group of states. A privilege of the user at a current time may be managed in the application system based on the feature. With these embodiments, the user behavior may be managed according to various aspect of the user's historical states and thus the user may be managed in a more accurate and effective manner.