Abstract: The present invention discloses an information processing method, an information control center device, and a computer-readable storage medium. The method comprises: obtaining semantic parsing information corresponding to a sound signal, the semantic parsing information including a designated time; performing a time prediction on the designated time based on a current time to determine an intended time; and generating a target instruction corresponding to the sound signal based on the intended time. With this method, the information control center device can process complex and diverse sound signals, and the designated time and target intention in a sound signal can be extracted from the semantic parsing information. Because of the time prediction on the semantic parsing information with the designated time, the designated time provided in the sound signal can be processed more accurately, and the voice interaction process is more accurate.

Abstract: The present disclosure provides a semiconductor structure and a manufacturing method thereof. The manufacturing method of a semiconductor structure includes providing a substrate having trenches, regions other than the trenches in the substrate form a plurality of active regions at intervals; forming a first isolation layer and a second isolation layer, a top surface of the first isolation layer is lower than a top surface of the second isolation layer, a groove is formed between the second isolation layer and the active region; forming a barrier layer in the groove, an etching rate of the barrier layer is lower than an etching rate of the first isolation layer; and forming a third isolation layer in an intermediate trench, the intermediate trench is filled with the third isolation layer, and the first isolation layer, the second isolation layer, the third isolation layer, and the barrier layer form an isolation structure.

Abstract: Compositions, systems and methods for delivering CRISPR/Cas9-based genome editing system and a donor protein to a cell.

Abstract: An example method for identifying a reading location in a text source as a user reads the text source aloud includes determining phoneme data of the text source, the text source comprising a sequence of words; receiving audio data comprising a spoken word associated with the text source; comparing, by a processing device, the phoneme data of the text source and phoneme data of the audio data; and identifying a location in the sequence of words based on the comparing phoneme data.

Abstract: Compositions, systems and methods for delivering CRISPR/Cas9-based genome editing system to a cell.

Abstract: A semiconductor structure and a method for forming the semiconductor structure are provided. The method includes: providing a substrate; forming a dummy gate structure including a dummy gate dielectric layer, an initial dummy gate electrode layer, and a first sidewall spacer; forming an isolation layer having a surface lower than or coplanar with the dummy gate structure; forming a dummy gate electrode layer having a surface lower than the isolation layer, and forming a first opening to expose a portion of the first sidewall spacer; forming a modified sidewall spacer from the exposed first sidewall spacer; forming a second opening by removing the dummy gate electrode layer; forming a third opening by removing the dummy gate dielectric layer and the modified sidewall spacer, where top of the third opening has a size larger than bottom of the third opening; and forming a gate structure in the third opening.

Abstract: A method of logistics management based on QR code, the method includes: acquiring a video stream of a logistics box taken by a camera of a logistics box passing through an identification area, the logistics box having a corresponding QR code affixed to its surface; performing target detection on the video stream based on a predetermined neural network model to obtain a QR code image and a logistics box image, respectively; identifying the QR code image to generate QR code information; detecting and tracking the logistics box images in sequence to generate logistics box information; matching the QR code information and logistics box information, generating matching information, and updating logistics inventory information based on the matching information.

Abstract: The disclosure provides technology for enabling a computing device to provide context sensitive special effects that supplement a text source as it is read aloud. An example method includes receiving, by a processing device, audio data comprising a spoken word of a user, analyzing contextual data associated with the user, determining a match between the audio data and data of a text source; and initiating a physical effect in response to the determining the match, wherein the physical effect corresponds to the text source and is based on the contextual data.

Abstract: A method of forming a semiconductor device, the method including the steps of providing a metal component having a top surface, and providing a passivation layer over the metal component such that an outer layer of the passivation layer is substantially planar and does not extend below the top surface of the metal component.

Abstract: A semiconductor device includes a metal component covered by a passivation layer, wherein the metal component has a top surface and the passivation layer includes an outer layer which is substantially planar. The outer layer of the passivation layer does not extend below the top surface of the metal component.

Abstract: The invention relates to polyoxometalates represented by the formula (An)m+{M?s[M?M12X8OyRzHq]}m? or solvates thereof, corresponding supported polyoxometalates, and processes for their preparation, as well as corresponding metal-clusters, optionally in the form of a dispersion in a liquid carrier medium or immobilized on a solid support, and processes for their preparation, as well as their use in reductive conversion of organic substrate.

Abstract: The disclosed subject matter relates to a system and method for selecting/recommending ads based on a contextual bandit approach. The disclosed approach leverages various embedding vectors of item, search, page taxonomy trained based on traffic data via advanced deep learning models, and uses model signals (e.g. historical CTR, item price, rating, quality) from other ad placements. The learning mechanism on top of the current methodology to automatic chooses the best feature sets and adjust model performance over time. The contextual bandit model performs better with respect to CTR than the Thompson Sampling model, and achieves lower regret and faster convergence over time.

Abstract: This application relates to apparatus and methods for mapping identifiers to customer data over temporal intervals. Various applications may then operate on the mapped customer data to generate output data, such as digital item advertisements. In some examples, a computing device receives a first identifier of a first type, and a plurality of second identifiers of a second type. The computing device obtains customer data, such as sales and browsing data, associated with each of the second identifiers, and generates a confidence score for each of the second identifiers based on the corresponding customer data. Further, the computing device generates mapping data that maps the first identifier to one of the plurality of second identifiers based on the confidence scores. In some examples, the computing device determines the mapping data based on temporal intervals associated with the first identifier and each of the plurality of second identifiers.

Abstract: Disclosed are pyrrolotriazine compounds which act as a mitogen-activated protein kinase interacting kinase (MNK) inhibitor, and the use thereof in the preparation of a mitogen-activated protein kinase interacting kinase inhibitor drug. Specifically disclosed are compounds represented by formula (I) or a pharmaceutically acceptable salt thereof.

Abstract: A time of flight (TOF)-based depth measuring device is provided, which includes: a light emitter, configured to emit a beam to a target object; a light sensor, configured to capture a reflected beam reflected by the target object, generate a corresponding electrical signal, and obtain a two-dimensional image of the target object; and a processor, connected to the light emitter and the light sensor, and configured to: control the light emitter to emit a modulated beam, turn on the imaging module to receive the electrical signal and the two-dimensional image, perform calculation on the electrical signal to obtain one or more TOF depth values of the target object, perform deep learning by using the two-dimensional image to obtain a relative depth value, and determine an actual depth value from the one or more TOF depth values based on the relative depth value.

Abstract: The disclosure provides technology for enhancing the ability of a computing device to conserve computing resources while providing special effects that are aligned with a text source being read aloud. An example method includes identifying effects data for a text source, wherein the effects data correlates a physical effect with an audible action of a user; receiving audio data comprising a plurality of audible actions, wherein at least one of the plurality of audible actions comprises a spoken word of the text source; determining, by a processing device, a triggering condition based on the effects data and the text source; responsive to satisfying the triggering condition, loading content for the physical effect, wherein the triggering condition is satisfied prior to the occurrence of the audible action; and providing the physical effect to modify an environment of the user.

Abstract: An optical information detection method includes: acquiring a first image captured by a first imaging device, wherein the first image comprises a target full-field projection pattern; extracting features from the first image to obtain first feature information; acquiring second feature information and first graphic information of a reference full-field projection pattern, wherein the first graphic information comprises zero-order information and/or secondary information; calculating a first mapping relationship between the first feature information and the second feature information; mapping the first graphic information to the target full-field projection pattern according to the first mapping relationship, to obtain second graphic information corresponding to the target full-field projection pattern; and calculating target optical information according to the second graphic information.

Abstract: A multi-level cross-district surface well pattern deployment method is provided. Firstly, a first horizontal well is drilled from a location on a land surface corresponding to a junction H1 of a district rise coal pillar of the first district C1 in a first level and an upper mine field boundary coal pillar. A multilateral well is drilled from a location on the land surface corresponding to a junction H3 of a level coal pillar between the first and second levels, and the district rise coal pillar of the first district C1 in the first level. Liquid nitrogen is injected for permeability improvement after a gas drainage quantity decreases to 20% of an initial quantity. Gas drainage is repeated multiple times until the drainage quantity of coal bed methane through a gas drainage pipe of the horizontal pipe is reached 3 m3/min.

Abstract: Systems and methods for selecting items from a pool of items based on comparisons of composite embeddings are disclosed. A first initial embedding is obtained from a first database for each item in a pool of items and a second initial embedding is obtained from a second database for each item in the pool of items. The first initial embedding is generated using a first embedding model and the second initial embedding is generated using a second embedding model. A first composite embedding is generated for each item in the pool of items comprising the first initial embedding and the second initial embedding; and compare the first composite embedding for each item in the pool of items to a first anchor embedding, wherein the first anchor embedding comprises a first initial anchor embedding generated using the first embedding model and a second initial anchor embedding generated using the second embedding model.

Abstract: Systems and methods for selecting items from a pool of items based on comparisons of composite embeddings are disclosed. An anchor embedding is generated for a target string. The anchor embedding is a composite embedding including at least a first initial embedding and a second initial embedding. An item embedding is obtained for each item in a pool of items. Each item embedding is a composite embedding including a first initial item embedding and a second initial item embedding. A similarity score is generated by comparing the item embedding to the anchor embedding for each item in the pool of items and a set of items is selected from the pool of items. The set of items includes a predetermined number of items in the pool of items having a highest similarity score.