Abstract: Embodiments of the present application provide a method based on an optical fiber communication network for controlling a robot, a storage medium and an electronic device. The method includes: converting an acquired electrical control signal of the robot to an optical control signal; broadcasting the optical control signal over a downlink of the optical fiber communication network; filtering the optical control signal based on a port identifier to obtain an optical control signal corresponding to the port identifier; converting the optical control signal corresponding to the port identifier to an electrical control signal; and sending the electrical control signal to an actuator of the robot. According to the embodiments of the present application, the number of wirings inside the robot is reduced, the wiring complexity is reduced, and the bandwidth for communication and anti-electromagnetic interference capabilities in the control system are improved.

Abstract: A prodrugged antibody has a blocking moiety attached to a Cys on its heavy or light chain via a linker having a cleavable moiety. The blocking moiety inhibits binding of the antibody to its antigen. Cleavage of the cleavable moiety releases the blocking moiety and restores ability of the antibody to bind to its antigen.

Abstract: A method, a system, and computer program product for managing pay equity cloud-based software applications are provided. A query for compensation data for an employment position associated with a macro-entity is received. The employment position is defined by parameters associated with a micro-entity. The compensation data for similar employment positions associated with the macro-entity is retrieved, from a database and by using the parameters. The compensation data is processed to generate grouped and ranked employment positions. Compensation gaps between the ranked employment positions are determined, by executing a multivariate regression analysis including an analysis of one or more cohorts of employment positions within the ranked employment positions. A recommendation for adjusting compensation associated with one or more employment positions is generated, by using a machine learning model. An instruction to display a notification including the recommendation is provided.

Abstract: A fingerprint detection array substrate is provided. The fingerprint detection array substrate includes a plurality of touch electrode blocks in a plurality of touch detection regions configured to detect a touch position, wherein touch electrode blocks in a respective one of the plurality of touch detection regions are inter-connected through bridges, forming a touch electrode unit, and the touch electrode unit is isolated from touch electrode blocks in adjacent touch detection regions of the plurality of touch detection regions; a plurality of touch signal lines configured to respectively transmit touch signals to a plurality of touch detection regions, wherein a respective one of the plurality of touch signal lines is electrically connected to the touch electrode unit limited in the respective one of the plurality of touch detection regions; and a fingerprint sensor configured to perform fingerprint sensing limited in a fingerprint scanning region.

Abstract: The present disclosure discloses a helmet with a split type skeleton structure. The helmet includes a helmet body; the helmet body is composed of a head guard and a chin guard which are separated; the head guard and the chin guard are mounted through cooperation between a fastened spliced skeleton and a plug pin; the spliced skeleton is composed of two skeleton connection members arranged inside the head guard and a chin skeleton arranged inside the chin guard; and hollows of a surface of the chin skeleton are fixedly connected with a plurality of one-piece structured reinforcing ribs.

Abstract: The present disclosure provides a method and system for adapting a machine learning model, such as an object detection model, to account for domain shift. The method includes receiving a labeled data elements and target image samples and performing a plurality of model adaptation epochs. Each adaptation epoch includes: predicting for each of the target image samples, using the machine learning model configured by a current set of configuration parameters, a corresponding target class label for the respective target data object included in the target image sample; generating a plurality of labeled mixed data elements that each include: (i) a mixed image sample including a source data object from one of the source image samples and a target data object from one of the target image samples, and (ii) the corresponding source class label for the source data object and the corresponding target class label for the target data object.

Abstract: Systems and methods for generating a visual image from audio data and for training the same. The method may include: mapping audio data registered with a microphone array onto closest visual representations in a data manifold for latent representation of images of a visual modality; and generating a visual image of the visual modality from the closest visual representations.

Abstract: A speaker structure comprises a main speaker, an auxiliary speaker, a first driving mechanism, and a second driving mechanism. The auxiliary speaker is connected to the main speaker and displaceable relative to the main speaker. The first drive mechanism is configured to drive the main speaker to reciprocate in a first direction, and the second driving mechanism is configured to drive the auxiliary speaker to reciprocate in a second direction relative to the main speaker. The first driving mechanism is arranged in the main speaker, and the second driving mechanism is arranged in the main speaker. An output end of the second driving mechanism extends out of the main speaker and connected to the auxiliary speaker.

Abstract: A type of high-strength and ductile multicomponent precision resistance alloys and fabrication methods thereof are provided. The alloys are composed of the following components by atomic percentage: Ni 45-60%, Cr 15-30%, Fe 5-20%, Al 5-15%, Mn 3-5%, Cu 0.2-3%, Si 1-5%. Particularly, the sum of the atomic percentages of Mn, Cu and Si is ?13% and ?4.2%, the sum of the atomic percentages of Ni, Cr, Fe and Al is ?70% and ?95.8%, and the sum of the atomic percentages of all the components is 100%. The multicomponent alloys prepared by the methods exhibit face-cantered cubic matrix and possess high strength and good ductility; further, they have high resistivity and excellent resistivity stability in wide temperature ranges below 773 K.

Abstract: A side spray method for cooling a steel strip after hot rolling includes providing side spray devices behind multiple cooling sections on two sides in a width direction of a run out roller table of the steel strip after hot rolling. The side spray devices are staggered along the two sides of the run out roller table of the steel strip, the side spray devices include at least two spray units, each spray unit includes a spray tube and nozzles on the spray tube, the spray tubes being in parallel and vertically arranged along a running direction of the steel strip, and being movable along the running direction of the steel strip, covering ranges of the nozzles on the side spray devices are partially overlapped with each other, and a total spray coverage covering of nozzles covers a width of the run out roller table of the steel strip.

Abstract: A fusion protein, comprising a variant angiotensin converting enzyme 2 (ACE2) domain covalently fused to a Fc domain. The variant ACE2 domain has a N-terminal deletion, a C-terminal deletion, or both, relative to a full-length wildtype ACE2 having a SEQ ID NO: 1. The variant ACE2 domain has ACE2 activity.

Abstract: Disclosed are a display substrate, a display panel and a display device. The display substrate has a display region and a non-display region, wherein the display substrate includes a base substrate; a near-field communication antenna on the base substrate and comprising a main body, wherein the main body is in the display region, and at least a portion of the main body is transparent.

Abstract: A large area quartz crystal wafer lapping device, provided with a base, a supporting arm assembly, a lapping plate, a swivel gantry, a rotating motor, a loading block and a plate-Adjusting ring; The supporting arm assembly comprises a swing arm, a swing arm shaft, a swing arm motor, an adjustable arm and a roller; The swivel gantry is driven to rotate by the rotating motor; The loading block is encased in the plate-Adjusting ring, and a quartz crystal wafer is bonded to the bottom surface of the loading block. In the invention, through the improved design of material removal and wafer retention, the processing surface shape of large area quartz crystal wafer can meet the design requirements.

Abstract: The present disclosure relates to antibodies, in particular monoclonal antibodies of murine, chimeric, and humanized origin, that specifically bind to the human TROP2 protein, and to the amino acid and nucleotide sequences encoding these antibodies. The disclosure also discloses the use of these antibodies as a diagnostic reagent or a drug in the diagnostic and/or therapeutic management of malignancies or any lesion related to the overexpression of said receptor.

Abstract: Methods and systems for horizontal federated learning are described. A plurality of sets of local model parameters is obtained. Each set of local model parameters was learned at a respective client. For each given set of local model parameters, collaboration coefficients are computed, representing a similarity between the given set of local model parameters and each other set of local model parameters. Updating of the sets of local model parameters is performed, to obtain sets of updated local model parameters. Each given set of local model parameters is updated using a weighted aggregation of the other sets of local model parameters, where the weighted aggregation is computed using the collaboration coefficients. The sets of updated local model parameters are provided to each respective client.

Abstract: A camptothecin drug having a highly stable hydrophilic connecting unit and its conjugate, or its pharmaceutically acceptable salt thereof, including methods for preparation thereof, and its applications in preventing and/or treating cancer. The conjugate can specifically bind to receptors highly expressed in tumor cells. The conjugates have excellent water solubility, stability, and homogeneity, and can be used for preventing and/or treating tumors and/or other diseases.

Abstract: The present disclosure provides a computer implemented method and system for generating an algebraic modelling language (AML) formulation of natural language text description of an optimization problem. The computer implemented method includes generating, based on the natural language text description, a text markup language intermediate representation (IR) of the optimization problem, the text markup language IR including an IR objective declaration that defines an objective for the optimization problem and a first IR constraint declaration that indicates a first constraint for the optimization problem. The computer implemented also includes generating, based on the text markup language IR, the AML formulation of the optimization problem, the AML formulation including an AML objective declaration that defines the objective for the optimization problem and a first AML constraint declaration that indicates the first constraint for the optimization problem.

Abstract: The present disclosure provides a method and system for evaluating a machine learning model using an evaluation dataset for the machine learning model. The evaluation dataset includes for each entity in a group of entities: (i) an ordered set of attribute values for the entity, each attribute value corresponding to a respective attribute in a set of attributes that is common for all of the entities in the group of entities, and (ii) an outcome prediction generated for the entity by the machine learning model based on the ordered set of attribute values for the entity, wherein the outcome prediction generated for each entity is either a first outcome or a second outcome. Based on the evaluation dataset, using an optimization process, respective importance values are computed for the attributes, the respective importance values indicating attributes that are most responsible for the machine learning model predicting a first outcome.