Abstract: The present disclosure provides TrkA antibodies, compositions comprising such antibodies, and methods of using such antibodies for the prevention and/or treatment of a disease or disorder associated with an inappropriate expression or function of TrkA, such as pain.

Abstract: A silicified modified zero-valent iron, whose surface layer is a silicon-containing oxide layer formed by silicate, which is obtained by the following method: dissolved silicate and micron iron powder are used as raw materials and mixed in proportion, and ball milling under an inert gas atmosphere to obtain the silicified modified zero-valent iron. The invention also discloses the application of silicified modified zero-valent iron in repairing polluted water bodies. The invention uses green silicate as silicon source to carry out surface silicification modification of micron zero-valent iron, which has simple operation, low cost and is convenient for large-scale production. Moreover, the prepared silicified zero-valent iron has good dispersibility, high reduction activity and strong recycling performance, and can be used for the treatment of various polluted water bodies and soil.

Abstract: A compound continuum robot for skull base tumor resection and a control method therefor. The robot includes a fixed base module, and a continuum mechanism, a notched continuum control mechanism, a concentric tube driving mechanism and a forceps opening and closing control mechanism which are arranged on the fixed base module. The continuum mechanism is sequentially composed of a concentric tube continuum mechanism and a notched continuum mechanism from interior to exterior, a bending motion and a rotating motion of the notched continuum mechanism are controlled by the notched continuum control mechanism, feeding and rotating motions of the concentric tube continuum mechanism are controlled by the concentric tube driving mechanism, and feeding and rotating motions of a forceps opening and closing control mechanism steel cable are controlled by the forceps opening and closing control mechanism, such that forceps are opened or closed.

Abstract: The present disclosure is related to method and network elements for external assisted application mobility for edge computing. A method at a first network element for assisting a user equipment (UE) in mobile edge host switching comprises: setting up one or more geofences, one for each of one or more mobile edge hosts, based on topology information of a network comprising the one or more mobile edge hosts; detecting whether the UE moves across the boundary of a first geofence of the geofences; and transmitting, to a second network element, a message comprising a first indicator indicating a first host switching event for the UE in response to detecting that the UE moves across the boundary of the first geofence.

Abstract: Implementations of the present disclosure include receiving a goal, providing a problem-specific knowledge graph that is responsive to at least a portion of the goal, determining a set of events from the problem-specific knowledge graph, processing data representative of events in the set of events through a first machine learning (ML) model to provide a set of event scores, each event score in the set of event scores being associated with a respective event in the set of events, determining a sub-set of events based on the set of event scores, for each event in the sub-set of events, determining at least one action by processing a sequence of actions through a second ML model, and outputting the sub-set of events and a set of actions for execution of at least one action in the set of actions.

Abstract: The present invention provides compounds of the structural Formula (I) and pharmaceutically acceptable salts thereof, wherein, are as defined herein, pharmaceutical compositions comprising one or more such compounds (alone and in combination with one or more other therapeutically active agents), and methods for their preparation and use, alone and in combination with other therapeutic agents, as antagonists of A2a and/or A2b receptors, and in the treatment of a variety of diseases, conditions, or disorders that are mediated, at least in part, by the adenosine A2a receptor and/or the adenosine A2b receptor.

Abstract: A data use control method comprises: (S12) receiving a data use request which comprises a target resource to be used; (S14) acquiring a use control policy of the target resource; and (S16) using the target resource according to the use control policy of the target resource. Further, a data use control system (10), an electronic device (20) and a storage medium (30) are also disclosed.

Abstract: A method including: obtaining data based an optical proximity correction for a spatially shifted version of a training design pattern; and training a machine learning model configured to predict optical proximity corrections for design patterns using data regarding the training design pattern and the data based on the optical proximity correction for the spatially shifted version of the training design pattern.

Abstract: The present application provides a method for resource guiding, a device for resource guiding, an apparatus and a computer storage medium, the method includes: acquiring, by a first receiver, a target request sent by a first requester, the target request carries resource information and a target address, the target address includes a virtual resource address, and the resource information includes recommendation information; and acquiring, by the first receiver, the recommendation information according to the virtual resource address, and determining an action executor according to the virtual resource address, the recommendation information is used for recommending a next action to be executed for the action executor.

Abstract: Novel compounds of the structural formula I, and the pharmaceutically acceptable salts thereof, are inhibitors of TarO and may be useful in the prevention, treatment and suppression of diseases mediated by TarO, such as bacterial infections, including gram negative bacterial infections and gram positive bacterial infections such as MRSA and MRSE, alone or in combination with a ?-lactam antibiotic.

Abstract: The present disclosure provides a method for data storage, a general service entity device, and a storage medium. The method for data storage includes: by adopting a general service entity, receiving data sent by an application entity; performing a lock setting or an overflow setting; selecting a retention strategy for previously stored data according to the lock setting or the overflow setting in the case of satisfying a data overflow condition; and storing part or all of received data according to the retention strategy.

Abstract: Novel compounds of the structural formula I, and the pharmaceutically acceptable salts thereof, are inhibitors of TarO and may be useful in the prevention, treatment and suppression of diseases mediated by TarO, such as bacterial infections, including gram negative bacterial infections and gram positive bacterial infections such as MRSA and MRSE, alone or in combination with a ?-lactam antibiotic.

Abstract: Described herein are compounds of Formula (I) or a pharmaceutically acceptable salt thereof. The compounds of Formula (I) act as RIPK1 inhibitors and can be useful in preventing, treating or acting as a remedial agent for RIPK1-related diseases.

Abstract: A method to determine a curvilinear pattern of a patterning device that includes obtaining (i) an initial image of the patterning device corresponding to a target pattern to be printed on a substrate subjected to a patterning process, and (ii) a process model configured to predict a pattern on the substrate from the initial image, generating, by a hardware computer system, an enhanced image from the initial image, generating, by the hardware computer system, a level set image using the enhanced image, and iteratively determining, by the hardware computer system, a curvilinear pattern for the patterning device based on the level set image, the process model, and a cost function, where the cost function (e.g., EPE) determines a difference between a predicted pattern and the target pattern, where the difference is iteratively reduced.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: The present disclosure provides a method for associating actions for Internet of things, an electronic device, and a computer-adable storage medium, the method includes: triggering a first device to execute a first action, and triggering a second device to execute a second action to obtain a feedback result of the first action and a feedback result of the second action, where each feedback result includes at least one of an execution result or an execution effect; and judging whether the first action and the second action are associable with each other based on the feedback result of the first action and the feedback result of the second action; and in response to that the first action and the second action are associable with each other, associating the first action with the second action.

Abstract: The present disclosure provides a method of establishing a device correlation and an electronic device. The method includes: receiving a first correlation establishment request transmitted by a first device, wherein the first correlation establishment request indicates establishing a correlation between a first device and a second device, and a device correlation is established between the second device and a third device; acquiring a first correlation strength between the first device and the second device, and a second correlation strength between the second device and the third device; establishing a device combination correlation between the first device, the second device and the third device in response to the first correlation strength being less than or equal to the second correlation strength; and establishing a device preemption correlation between the first device and the second device in response to the first correlation strength being greater than the second correlation strength.

Abstract: Described herein are compounds of Formula I: or a pharmaceutically acceptable salt thereof, wherein A, R1, R2, R3, W, X, Y, Z, m, n and p are as defined herein. The compounds of Formula I act as RIPK1 inhibitors and can be useful in preventing, treating or acting as a remedial agent for RIPK1-related diseases.

Abstract: The present invention relates to monobactam compounds of Formula I: and pharmaceutically acceptable salts thereof. The present invention also relates to compositions which comprise a monobactam compound of structural formula I or a pharmaceutically acceptable salt therof, and a pharmaceutically acceptable carrier. The invention further relates to methods for treating a bacterial infection comprising administering to the patient a therapeutically effective amount of a compound of structural formula I, either alone or in combination with a therapeutically effective amount of a second beta-lactam antibiotic.

Abstract: A method including: obtaining data based an optical proximity correction for a spatially shifted version of a training design pattern; and training a machine learning model configured to predict optical proximity corrections for design patterns using data regarding the training design pattern and the data based on the optical proximity correction for the spatially shifted version of the training design pattern.