Abstract: A diffraction measurement target that has at least a first sub-target and at least a second sub-target, and wherein (1) the first and second sub-targets each include a pair of periodic structures and the first sub-target has a different design than the second sub-target, the different design including the first sub-target periodic structures having a different pitch, feature width, space width, and/or segmentation than the second sub-target periodic structure or (2) the first and second sub-targets respectively include a first and second periodic structure in a first layer, and a third periodic structure is located at least partly underneath the first periodic structure in a second layer under the first layer and there being no periodic structure underneath the second periodic structure in the second layer, and a fourth periodic structure is located at least partly underneath the second periodic structure in a third layer under the second layer.

Abstract: Disclosed are adhesives comprising a first compound comprising three or more 1,2-dihydroxybenzene groups; and a second compound that is a functionalized polymer; wherein the first compound and second compound are in the form of a mixture, and wherein the adhesive has adhesive properties when wet. Additional embodiments to methods of preparing an adhesive, adhesives prepared by the method, and articles prepared from the adhesive are disclosed.

Abstract: A method of characterizing a deformation of a plurality of substrates is described. The method includes: measuring, for a plurality of n different alignment measurement parameters ? and for a plurality of substrates, a position of the alignment marks; determining a positional deviation as the difference between the n alignment mark position measurements and a nominal alignment mark position; grouping the positional deviations into data sets; determining an average data set; subtracting the average data set from the data sets to obtain a plurality of variable data sets; performing a blind source separation method on the variable data sets, thereby decomposing the variable data sets into a set of eigenwafers representing principal components of the variable data sets; and subdividing the set of eigenwafers into a set of mark deformation eigenwafers and a set of substrate deformation eigenwafers.

Abstract: A method of bearer deletion is provided to improve the universality of the bearer deletion process. The method includes: receiving, by the original intermediate NE, the cancellation type indication parameter sent by the HSS, and deleting the bearer between the serving gateway (S-GW) and a packet data network gateway (P-GW), if the original intermediate network element obtains an attach type according to the cancellation type indication parameter indicating an attach type and a corresponding bearer exists on the original intermediate NE. This method helps efficiently improve the universality of the bearer deletion flow.

Abstract: The present invention relates to biomarkers associated with breast cancer prognosis. These biomarkers include coding transcripts and their expression products, as well as non-coding transcripts, and are useful for predicting the likelihood of breast cancer recurrence in a breast cancer patient. The present invention also relates to a novel method of identifying intergenic sequences that correlate with a clinical outcome.

Abstract: A diffraction measurement target that has at least a first sub-target and at least a second sub-target, and wherein (1) the first and second sub-targets each include a pair of periodic structures and the first sub-target has a different design than the second sub-target, the different design including the first sub-target periodic structures having a different pitch, feature width, space width, and/or segmentation than the second sub-target periodic structure or (2) the first and second sub-targets respectively include a first and second periodic structure in a first layer, and a third periodic structure is located at least partly underneath the first periodic structure in a second layer under the first layer and there being no periodic structure underneath the second periodic structure in the second layer, and a fourth periodic structure is located at least partly underneath the second periodic structure in a third layer under the second layer.

Abstract: A method of determining an optimal operational parameter setting of a metrology system is described. Free-form substrate shape measurements are performed. A model is applied, transforming the measured warp to modeled warp scaling values. Substrates are clamped to a chuck, causing substrate deformation. Alignment marks of the substrates are measured using an alignment system with four alignment measurement colors. Scaling values thus obtained are corrected with the modeled warp scaling values to determine corrected scaling values. An optimal alignment measurement color is determined, based on the corrected scaling values. Optionally, scaling values are selected that were measured using the optimal alignment measurement color and a substrate grid is determined using the selected scaling values. A substrate may be exposed using the determined substrate grid to correct exposure of the substrate.

Abstract: The present invention provides methods to determine the prognosis and appropriate treatment for patients diagnosed with cancer, based on the expression levels of one or more biomarkers. More particularly, the invention relates to the identification of genes, or sets of genes, able to distinguish breast cancer patients with a good clinical prognosis from those with a bad clinical prognosis. The invention further provides methods for providing a personalized genomics report for a cancer patient. The inventions also relates to computer systems and software for data analysis using the prognostic and statistical methods disclosed herein.

Abstract: The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.

Abstract: A method, apparatus and communication system for registering address information of a network anchor point to a network server are disclosed. A network apparatus, such as a mobility management entity, determines whether to register address information of a network anchor point to a network server, and registers the address information of the network anchor point to the network server when determining to do so.

Abstract: A data communication method, a communication system, and related devices are configured to establish a transaction identifier (TI) in a user equipment (UE). The data communication method includes the following steps. A mobility management entity (MME) receives a request message and obtains ability information of the UE. If the UE has an ability to access a Universal Terrestrial Radio Access Network/GSM/EDGE Radio Access Network (UTRAN/GERAN), the MME generates the TI. A communication system and related devices are also provided. Thus, the TI is effectively established in the UE, so as to ensure normal processing of the UE.

Abstract: A method of devising a target arrangement, and associated target and reticle. The target includes a plurality of gratings, each grating having a plurality of substructures. The method includes: defining a target area; locating the substructures within the target area so as to form the gratings; and locating assist features at the periphery of the gratings, the assist features being configured to reduce measured intensity peaks at the periphery of the gratings. The method may include an optimization process including modelling a resultant image obtained by inspection of the target using a metrology process; and evaluating whether the target arrangement is optimized for detection using a metrology process.

Abstract: The disclosure includes a system and method for providing a customized stream of content to a user. The system includes: an item sourcer for gathering one or more content items from one or more content sources; a behavior indicator module and scorer for determining one or more behavior scores for the one or more content items; a content indicator module and scorer for determining one or more content scores for the one or more content items; a score combiner for aggregating the one or more behavior scores and the one or more content scores to generate one or more item scores for the one or more content items; a content diversifier for determining one or more diverse items from the one or more content items; and a stream generator for generating a customized stream of content for the user from the one or more diverse items.

Abstract: The present disclosure provides a deep learning assignment processing method and apparatus, a device and a storage medium. It is feasible to obtain the deep learning assignment submitted by the user in a predetermined manner, the predetermined manner comprising the web UI manner, then submit the deep learning assignment to the deep learning system so that the deep learning system runs the submitted deep learning assignment. As compared with the prior art, processing such as programming is not needed upon submitting the deep learning assignment in the solutions of the present disclosure, thereby simplifying the user's operations, improving the processing efficiency of the deep learning assignment, and accelerating the user's speed of developing deep learning.

Abstract: A method, apparatus and communication system for registering address information of a network anchor point to a network server are disclosed. A network apparatus, such as a mobility management entity, determines whether to register address information of a network anchor point to a network server, and registers the address information of the network anchor point to the network server when determining to do so.

Abstract: A method of bearer deletion is provided to improve the universality of the bearer deletion process. The method includes: receiving, by the original intermediate NE, the cancellation type indication parameter sent by the HSS, and deleting the bearer between the serving gateway (S-GW) and a packet data network gateway (P-GW), if the original intermediate network element obtains an attach type according to the cancellation type indication parameter indicating an attach type and a corresponding bearer exists on the original intermediate NE. This method helps efficiently improve the universality of the bearer deletion flow.

Abstract: Disclosed is a chip-based data transmission method for a data sending side. The method includes that protocol layer processing is performed on input data, and the data after the protocol layer processing is mapped to each physical channel for transmission; meta-frame layer processing is performed on the data transmitted by each physical channel, and the data after the meta-frame layer processing is sent. Another chip-based data transmission method for a data receiving side is provided which includes that meta-frame layer processing is performed on data received by each physical channel, the data after the meta-frame layer processing is mapped to a protocol layer for transmission, and the protocol layer processing is performed on the data transmitted by the protocol layer, and the data after the protocol layer processing is sent. A chip-based data transmission device and system, and a computer storage medium are also provided.

Abstract: A system comprises: a data warehouse, a storage device and a cluster including a plurality of computing nodes; the data warehouse is configured to store task data obtained from the user; at least one computing node in the cluster includes a resource scheduling component, and is configured to perform resource scheduling for the task and determine a computing node executing the task; the computing node executing the task comprises a model training component and/or a prediction component; the model training component is configured to, according to task data, invoke a corresponding type of learning model from the storage device; use sample data and training target included in the task data to train the learning model, to obtain the prediction model corresponding to the task and store the prediction model in the storage device; the prediction component is configured to obtain a prediction result output by the prediction model.

Abstract: An integrated facial recognition method and system. The method includes: receiving a request for acquiring an integrated facial recognition service sent by a user terminal, which includes: an identifier of a user-selected model associated with facial recognition of the user, and an identifier of an operation selected by the user from candidate operations; and executing distributedly an operation selected by the user from the candidate operations on the user-selected model associated with the facial recognition of the user to obtain an operation result, and storing the operation result. The embodiment has realized completing the operations such as training a model or developing a facial recognition application, without the need of buying hardware and establishing a software environment by the user, thereby saving the development cost and improving the convenience of using the facial recognition service.

Abstract: A lithographic process includes clamping a substrate onto a substrate support, measuring positions across the clamped substrate, and applying a pattern to the clamped substrate using the positions measured. A correction is applied to the positioning of the applied pattern in localized regions of the substrate, based on recognition of a warp-induced characteristic in the positions measured across the substrate. The correction may be generated by inferring one or more shape characteristics of the warped substrate using the measured positions and other information. Based on the one or more inferred shape characteristics, a clamping model is applied to simulate deformation of the warped substrate in response to clamping. A correction is calculated based on the simulated deformation.