Abstract: Provided are a complex of an anti-IL-4R antibody or an antigen-binding fragment thereof, and a medical use thereof. Specifically, provided are a complex of an antibody that specifically binds to IL-4R or an antigen-binding fragment thereof covalently linked to a toxin, a pharmaceutical composition comprising the complex, and a use thereof in the preparation of a drug for treating IL-4R-mediated diseases or disorders, especially a use in the preparation of an anti-cancer drug.

Abstract: A computer implemented method includes: accessing from a configuration management database, by a virtualization manager, configuration data for a first computing node of a computing system; generating, by the virtualization manager, a set of attribute/value pairs for the first computing node using the configuration data; and managing, by the virtualization manager, a first container on the first computing node using the set of attribute/value pairs for the first computing node.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to generate a reference image and a target image from the pixel data, perform disparity operations on the reference image and the target image and build a disparity map in response to the disparity operations. The disparity operations may comprise selecting a guide node from the pixel data comprising a pixel and a plurality of surrounding pixels, determining a peak location for the pixel by performing a full range search, calculating a shift offset peak location for each of the surrounding pixels by performing block matching operations in a local range near the peak location and generating values in a disparity map for the pixel data in response to the peak location for the pixel and the shift offset peak location for each of the surrounding pixels.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to (i) generate a reference image and a target image from said pixel data, (ii) perform disparity operations on the reference image and the target image, and (iii) build a disparity angle map in response to the disparity operations. The disparity operations may comprise (a) selecting a plurality of grid pixels, (b) measuring a disparity angle for each grid pixel, (c) calculating a plurality of coefficients by resolving a surface formulation for a disparity angle map of the grid pixels, and (d) generating values in a disparity angle map for the pixel data utilizing the coefficients.

Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to (i) generate a reference image and a target image from said pixel data, (ii) perform disparity operations on the reference image and the target image, and (iii) build a disparity angle map in response to the disparity operations. The disparity operations may comprise (a) selecting a plurality of grid pixels, (b) measuring a disparity angle for each grid pixel, (c) calculating a plurality of coefficients by resolving a surface formulation for a disparity angle map of the grid pixels, and (d) generating values in a disparity angle map for the pixel data utilizing the coefficients.

Abstract: A virtual change database system that supports iterative and parallel database application development is disclosed. The system stores a common set of base physical data and a plurality of sets of virtual changes. Each set of virtual changes is associated with a database object. A database application may access a database object in the database by using the virtual version of the object to extract the object's data content from the common base physical data. The database system present a first query response to (i) a first application based on the set of base physical data and (ii) a first set of virtual changes for a particular database object, while also presenting a second query response to a second application based on the set of base physical data and a second, different set of virtual changes for the particular database object.

Abstract: A computer-implemented method is provided for allocating a set of shared dockless bikes. The method includes providing a notification to a user of an availability prediction of a shared dockless bike, from among the set of shared dockless bikes, based on a trajectory of the shared dockless bike with respect to a current location of the user, and adding the user to a request queue associated with the current location of the user, responsive to the user agreeing to wait a specified time period for access to the shared dockless bike. The method further includes maintaining an available bikes queue for newly available shared dockless bikes, from among the shared dockless bikes, responsive to the newly available ones of the shared dockless bikes becoming available. The method also includes notifying users of the newly available shared dockless bikes in a priority order determined from the request queue.

Abstract: An apparatus including an interface and a processor. The interface maybe configured to receive pixel data. The processor may be configured to generate a reference image and a target image from the pixel data, perform disparity operations on the reference image and the target image and build a disparity map in response to the disparity operations. The disparity operations may comprise selecting a guide node from the pixel data comprising a pixel and a plurality of surrounding pixels, determining a peak location for the pixel by performing a full range search, calculating a shift offset peak location for each of the surrounding pixels by performing block matching operations in a local range near the peak location and generating values in a disparity map for the pixel data in response to the peak location for the pixel and the shift offset peak location for each of the surrounding pixels.

Abstract: A risk assessment-based design method for a deep complex formation wellbore structure includes: (1) preliminarily determining casing layers and setting depths; (2) calculating to obtain the risk coefficients of each layer of casing; (3) analyzing and coordinating, according to the principle that a shallow casing shares more risks and a deep casing shares less risks, the risks of each layer of casing: determining whether the risk coefficients of each layer of casing are greater than a safety threshold value K; checking the setting depth: if the safety coefficient of an ith-layer casing satisfies RNi>K, selecting a casing layer with the minimum safety coefficient from upper casing layers, and deepening the setting depth h of the casing layer; and (4) repeating the steps (2) to (3) until the casing risk coefficients of each layer of casing are less than the safety threshold value K.

Abstract: A computer implemented method includes: accessing from a configuration management database, by a virtualization manager, configuration data for a first computing node of a computing system; generating, by the virtualization manager, a set of attribute/value pairs for the first computing node using the configuration data; and managing, by the virtualization manager, a first container on the first computing node using the set of attribute/value pairs for the first computing node.

Abstract: A data processing system identifies a first topic for a first table, identifies a second topic for a second table, collects at least one first table attribute comprising at least one row name for the first table, and collects at least one second table attribute comprising at least one row name for the second table. The at least one semantic vector for the first table is compared with the at least one semantic vector for the second table to identify as related at least one row of the first table and at least one row of the second table. The at least one row of the first table and the at least one row of the second table are provided to a communication device with an identification as related.

Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.

Abstract: A method, a device and a computer program for conformity determination of cross-regional affairs. The method comprises obtaining characteristics from a description of an affair at least crossing a local region and a non-local region. The method further comprises generating a multi-level constraint based on the characteristics from a knowledge base, and the knowledge base includes regulations for cross-regional affairs, and the multi-level constraint includes a local constraint associated with the local region and a non-local constraint associated with the local region and the non-local region. Moreover, the method also comprises determining conformity of the affair to the multi-level constraint. The method can determine the conformity of the cross-regional affairs automatically, thereby reducing the consumption of human resources and the inconformity risk in the cross-regional affairs.

Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.

Abstract: A risk assessment-based design method for a deep complex formation wellbore structure includes: (1) preliminarily determining casing layers and setting depths; (2) calculating to obtain the risk coefficients of each layer of casing; (3) analyzing and coordinating, according to the principle that a shallow casing shares more risks and a deep casing shares less risks, the risks of each layer of casing: determining whether the risk coefficients of each layer of casing are greater than a safety threshold value K; checking the setting depth: if the safety coefficient of an ith-layer casing satisfies RNi>K, selecting a casing layer with the minimum safety coefficient from upper casing layers, and deepening the setting depth h of the casing layer; and (4) repeating the steps (2) to (3) until the casing risk coefficients of each layer of casing are less than the safety threshold value K.

Abstract: A computer-implemented method is provided for allocating a set of shared dockless bikes. The method includes providing a notification to a user of an availability prediction of a shared dockless bike, from among the set of shared dockless bikes, based on a trajectory of the shared dockless bike with respect to a current location of the user, and adding the user to a request queue associated with the current location of the user, responsive to the user agreeing to wait a specified time period for access to the shared dockless bike. The method further includes maintaining an available bikes queue for newly available shared dockless bikes, from among the shared dockless bikes, responsive to the newly available ones of the shared dockless bikes becoming available. The method also includes notifying users of the newly available shared dockless bikes in a priority order determined from the request queue.

Abstract: This disclosure provides a computer-implemented method. The method may include extracting one or more features based on a first utterance from a first interlocutor in a dialog and a second utterance from a second interlocutor in the dialog. The method may further include inferring one or more personality traits of the first interlocutor based on the one or more extracted features from the dialog.

Abstract: Provided herein are compositions comprising distinct lipid species in defined ratios and methods of use thereof for the detection of anti-phosphatidylethanolamine (aPE) antibodies and diagnosis of antiphospholipid syndrome (APS).

Abstract: Embodiments of the invention provide a computer-implemented method, computing system and computer program product for analyzing a message in a social network. The method comprises identifying an entity from the message; detecting historical popularity of the entity in a social network; identifying a topic from the message; detecting historical popularity of the topic in the social network; and generating an entity-topic correlation factor for the entity and the topic based on the historical popularity of the entity and the historical popularity of the topic. Results obtained with embodiments of the invention may be provided to popularity prediction tools for improving popularity prediction of messages in social networks.