Abstract: The present disclosure generally relates to antibodies, antigen binding fragments thereof, polypeptides, and immunoconjugates that bind to CD123 antigen (the ? chain of the interleukin-3 receptor) and deliver a payload to CD123 expressing cells. The payload is a topoisomerase inhibitor that efficiently kills CD123 expressing tumor cells while sparing hematopoietic stem cells and mature hematopoietic cells.

Abstract: Embodiments of this specification provide methods and apparatuses for processing images, devices, and storage media. A method includes: obtaining an image for processing; generating a first mask image corresponding to the image based on a machine-learning model and determining whether the image has a foreground object; in response to determining that the image has the foreground object, setting pixels corresponding to the foreground object to a first grayscale value range, and setting pixels corresponding to non-foreground objects in the first mask image to a second grayscale value range; determining an outline corresponding to the foreground object in the image according to a grayscale value range difference between the first grayscale value range of the foreground object and the second grayscale value range of the non-foreground objects in the first mask image; and sending, to a client device for display, the image with the determined outline for interaction by a user.

Abstract: A system can receive location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit data corresponding to the rendezvous location to the computing device of the requesting user. The system may further periodically receive an update request from the computing device of the user, and for each update request, (i) determine a second plurality of transport providers with the predetermined distance or time from the current position of the user, and (ii) based on respective locations of these transport providers, transmit updated map data to the computing device to indicate an updated rendezvous location on the map interface.

Abstract: A system can receive location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A system can receive location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A four-terminal-pair AC quantum resistance dissemination bridge and related methods are provided. The bridge includes: a supply transformer IVD1, a Kelvin branch A1, a Wagner branch A0, the first and second current sources A2, A3, an injection inductive voltage divider A4, a ratio transformer IVD2, the first and second four-terminal AC resistor connection points Z1, Z2, chokes H, and null indicators D. An isolated inductive winding LO is wound along the ratio transformer IVD2 and supplies excitation current to primary winding of injection inductive voltage divider A4 to avoid the mutual influence among various balance networks and rapid balance of the bridge can be realized. By changing turn ratio of primary winding L3 and secondary winding L4 of the second inductive voltage divider T2, the phase shift can be realized through only one set of capacitors for imaginary part error compensation, the bridge with multiple frequency points can be obtained.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A peroxide delivery system is produced. The peroxide delivery system includes a dry powder that releases the peroxide quickly and completely when needed. The peroxide delivery system may be produced by combining a liquid peroxide or peroxide solution with an inorganic solid support that is inert to the peroxide and is capable of adsorbing large amounts of the liquid peroxide or peroxide solution while remaining dry to the touch. Methods of combining the inorganic solid support with the liquid peroxide or peroxide solution are disclosed. The peroxide delivery system can be formulated in preparations of powders, liquids, foams, sprays, gels, ointments, creams, sticks, or pastes that can be utilized in a variety of applications such as cleaning, stain removal and antiseptic products, for example.

Abstract: One example method includes receiving a digital image of a needle core prostate biopsy, displaying, using a display device, a magnified portion of the digital image, obtaining, from a deep learning model, Gleason scores corresponding to patches of the magnified portion of the digital image, and displaying, using the display device, a superimposed overlay on the magnified portion of the digital image based on the Gleason scores and corresponding confidence values of the Gleason scores, the superimposed overlay comprising one or more outlines corresponding one or more Gleason scores associated with the magnified portion of the digital image and comprising image patches having colors based on a Gleason score of the Gleason scores corresponding to an underlying portion of the magnified portion of the digital image and a confidence value of the corresponding Gleason score.

Abstract: A four-terminal-pair AC quantum resistance dissemination bridge and related methods are provided. The bridge includes: a supply transformer IVD1, a Kelvin branch A1, a Wagner branch A0, the first and second current sources A2, A3, an injection inductive voltage divider A4, a ratio transformer IVD2, the first and second four-terminal AC resistor connection points Z1, Z2, chokes H, and null indicators D. An isolated inductive winding LO is wound along the ratio transformer IVD2 and supplies excitation current to primary winding of injection inductive voltage divider A4 to avoid the mutual influence among various balance networks and rapid balance of the bridge can be realized. By changing turn ratio of primary winding L3 and secondary winding L4 of the second inductive voltage divider T2, the phase shift can be realized through only one set of capacitors for imaginary part error compensation, the bridge with multiple frequency points can be obtained.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can repeatedly determine, based at least in part on location data corresponding to a directional heading of a proximate transport provider in relation to the current position of the requesting user, an optimal rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the optimal rendezvous location to the computing device of the requesting user.

Abstract: The present disclosure discloses an image processing method, apparatus, and a non-transitory computer readable medium. The method can includes: acquiring a three-dimensional (3D) model and original texture images of an object, wherein the original texture images are acquired by an imaging device; determining a mapping relationship between the 3D model and the original texture images of the object; determining, among the original texture images, a subset of texture images associated with a first perspective of the imaging device; splicing the subset of texture images into a spliced texture image corresponding to the first perspective; and mapping the spliced texture image to the 3D model according to the mapping relationship.

Abstract: A semiconductor device, comprising: a semiconductor substrate; a source, a gate and a drain fabricated on one side of the semiconductor substrate; a via hole region reserved in the region of the source; and an etching stopping layer made in the via hole region as well as a via hole under the etching stopping layer penetrating through the semiconductor substrate.

Abstract: Presenting information on similar objects relative to a target object is disclosed, including: obtaining a plurality of video frames; determining a target object in the plurality of video frames using a tracking recognition technique; determining time slice information corresponding to the target object; using the time slice information corresponding to the target object to determine one or more similar objects relative to the target object; receiving an indication to present information on the one or more similar objects relative to the target object; and outputting the information on the one or more similar objects relative to the target object.

Abstract: Embodiments of this specification provide methods and apparatuses for processing images, devices, and storage media. A method includes: obtaining an image for processing; generating a first mask image corresponding to the image based on a machine-learning model and determining whether the image has a foreground object; in response to determining that the image has the foreground object, setting pixels corresponding to the foreground object to a first grayscale value range, and setting pixels corresponding to non-foreground objects in the first mask image to a second grayscale value range; determining an outline corresponding to the foreground object in the image according to a grayscale value range difference between the first grayscale value range of the foreground object and the second grayscale value range of the non-foreground objects in the first mask image; and sending, to a client device for display, the image with the determined outline for interaction by a user.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can repeatedly determine, based at least in part on location data corresponding to a directional heading of a proximate transport provider in relation to the current position of the requesting user, an optimal rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the optimal rendezvous location to the computing device of the requesting user.

Abstract: Embodiments of the specification provide a product object publishing method and a system. The method includes: obtaining an image of a product object; sending the image to a server; receiving a plurality of types of product attribute information obtained by image recognition on the image of the product object performed by an image recognizer set; displaying the plurality of types of product attribute information for selection by a user; generating structured information of the product object according to selection of the product attribute information; and publishing the product object, wherein the publishing comprises publishing the image and the structured information of the product object. Accuracy and efficiency of product object publishing can be improved.

Abstract: A prediction method, apparatus, and system for performing an image search is disclosed in the disclosure. In one embodiment, a method comprises: performing training in which domain adaptation learning is performed by using a source domain model to obtain a target domain model, wherein the source domain model comprises at least two network models, and the network models respectively correspond to different commodity categories; and setting an image under search and sample sets of commodities of a plurality of categories as input parameters for the target domain model to obtain a prediction result corresponding to the image. The disclosure solves the technical problem of inaccurate prediction in the process of using category prediction methods to perform a prediction on an image in current systems.

Abstract: A method and system for predictive location selection are described. A network computer system can preselect a service area, prior to receiving a service request from a user, based on the position of the user, a destination, and proximate available service providers, among other factors. In response to the user inputting the destination, the network computer system determines probability scores for predefined service areas based on likelihoods of the proximate available service providers being available at a time when the user submits a service request. The network computer system uses the probability scores to select an appropriate service area and transmits data corresponding to the optimal service area to the user.