Abstract: The present application discloses an optical waveguide structure, comprising: a lower cladding layer composed of a first dielectric layer; and a core layer which is composed of a patterned structure of a second material layer and presents a strip structure. A first trench is formed in a top region of the core layer. An upper cladding layer fully fills the first trench, extends to a top surface of the core layer outside the first trench, and coats side faces of the core layer in a width direction of the core layer. A refractive index of the second material layer is greater than a refractive index of the first dielectric layer, and the refractive index of the second material layer is greater than a refractive index of the upper cladding layer. The present application also provides a method for manufacturing an optical waveguide structure.

Abstract: A series of piperidine-substituted benzoic acid compounds and the use thereof, and specifically disclosed is a compound represented by formula (I) and a pharmaceutically acceptable salt thereof.

Abstract: A flow splitting device for gas reverse circulation drilling, including: an upper joint for connecting with a double-wall drill pipe; an inner tube which is arranged in the upper joint and defines a first passageway in communication with an inner chamber of the double-wall drill pipe, a second passageway in communication with an annular space in the double-wall drill pipe formed between the inner tube and the upper joint; a lower joint, having an upper end fixedly connected with the upper joint and a lower end for connecting with a drill tool; and a flow guiding member provided between the upper joint and the lower joint. A flexible sealing mechanism is provided outside the upper joint. The flexible sealing mechanism extends radially outward relative to the upper joint and the lower joint to form a sealing contact with a wellbore wall.

Abstract: In some embodiments, a computer-implemented method of training and using a machine learning model is provided. A computing system receives a plurality of sampling data values for a geographical area. The computing system creates an interpolated value map and a variance map for the geographical area using the plurality of sampling data values. The computing system trains a machine learning model using values of the interpolated value map as ground truth values and evaluating performance of the machine learning model using the variance map. The computing system stores the trained machine learning model in a model data store.

Abstract: The present application discloses an MV device, wherein a first gate structure of the MV device is formed by stacking a first gate dielectric layer and a first gate conductive material layer. The first gate dielectric layer is divided into a body gate dielectric layer and an edge gate dielectric layer. The body gate dielectric layer is located in a middle region, and the edge gate dielectric layer surrounds the periphery of the body gate dielectric layer. A channel region is located in a surface of the semiconductor substrate between the lightly doped drain regions on the two sides of the first gate structure. In a channel length direction, the top of the channel region is covered by the body gate dielectric layer. The present application also discloses a method for manufacturing the MV device.

Abstract: Systems and methods for controlling a population of a pest are provided. A computer implemented method for controlling a population of a pest can include receiving population data describing a presence of a pest in a host environment at a first time. The method can include receiving environmental data describing the host environment over a prediction horizon including and temporally after the first time. The method can include generating an intervention action for the first time using the population data and the environmental data as inputs to a control model configured to output the intervention action as part of an optimization of the presence of the pest over the prediction horizon. The method can also include outputting the intervention action.

Abstract: A multi-stage gas atomization preparation method of titanium alloy spherical powder for a 3D printing technology includes the following steps: bar preparation and machining step, multi-stage gas atomization powder preparation step through vacuum induction, and powder screening step. The collision probability of the metal droplets at the gas atomization stage is reduced by controlling the gas atomization pressure and the feeding speed of the titanium alloy electrode bar in a hierarchical manner, so that the collaborative control of the particle size and the surface quality of the titanium alloy 3D printing powder in the gas atomization preparation process is realized.

Abstract: A multi-stage gas atomization preparation method of titanium alloy spherical powder for a 3D printing technology includes the following steps: bar preparation and machining step, multi-stage gas atomization powder preparation step through vacuum induction, and powder screening step. The collision probability of the metal droplets at the gas atomization stage is reduced by controlling the gas atomization pressure and the feeding speed of the titanium alloy electrode bar in a hierarchical manner, so that the collaborative control of the particle size and the surface quality of the titanium alloy 3D printing powder in the gas atomization preparation process is realized.

Abstract: Systems and methods for modeling a population density of a pest are provided. A computer implemented method for modeling a population density of a pest can include receiving environmental data corresponding to a first time point. The method can include generating model input data from the environmental data using a machine learning model. The method can also include generating a population density of the pest from the model input data using a mechanistic model. The population density can correspond to a second time point temporally after the first time point.

Abstract: A method and system for determining an access score is disclosed. The method includes receiving an access request to access a resource by a user device. Next, a user embedding is retrieved from an embedding table, the user embedding associated with a user identifier of the user device and providing a multidimensional data point that represents a context of a user identifier. The context may correspond to the user identifier appearing in previous access requests within temporal proximity to other access requests from a subset of other user devices among a plurality of user devices. The method then inputs the user embedding into a first machine learning model that is trained based at least in part on the embedding table. The first machine learning model subsequently outputs an access score that corresponds to a level of authenticity of authorizing the user device to access the resource.

Abstract: Disclosed is a method for preparing a benzofuran derivative. In particular, provided is a method for preparing a benzofuran derivative, wherein according to the method provided, reaction steps required to synthesize the benzofuran substance in the prior art can be effectively shortened.

Abstract: Systems, methods, and non-transitory computer readable media are provided for monitoring the state of a periodic system. A computer implemented method for modeling a state of a periodic system includes inputting a spectrogram sequence to a machine-learning model trained to generate a latent representation from the spectrogram sequence. The spectrogram sequence includes a plurality of audio spectrograms representing sound generated by a periodic system. The method includes outputting the latent representation from the machine learning model. The method includes concatenating the latent representation with environmental data describing an environment of the periodic system, together defining an input sequence. The method includes inputting the input sequence to a predictor model trained to predict a state of the periodic system from the input sequence. The method also includes predicting the state of the periodic system with the predictor model.

Abstract: The present invention relates to crystal forms of an oxypyridine amide derivative and a preparation method therefor. In particular, the present invention relates to crystal forms A, B, C, D, E and F of a compound represented by formula (I) and a preparation method therefor. The crystal forms of the compound represented by formula (I) as described in the present invention have good crystal form stability and may be better for clinical use.

Abstract: Disclosed is a method for preparing a benzofuran derivative. In particular, provided is a method for preparing a benzofuran derivative, wherein according to the method provided, reaction steps required to synthesize the benzofuran substance in the prior art can be effectively shortened.

Abstract: The present invention relates to crystal forms of an oxypyridine amide derivative and a preparation method therefor. In particular, the present invention relates to crystal forms A, B, C, D, E and F of a compound represented by formula (I) and a preparation method therefor. The crystal forms of the compound represented by formula (I) as described in the present invention have good crystal form stability and may be better for clinical use.

Abstract: Various technologies described herein pertain to performing video analytics. The approaches set forth herein support live video analytics at scale with approximate and delay-tolerant processing. Video streams can be captured by multiple cameras and continuously streamed to a video analytics computing system; the video streams can be received at the video analytics computing system. Multiple video analytics queries can be executed on the video streams. The multiple video analytics queries can be concurrently executed by the video analytics computing system on the video streams as the video streams are continuously streamed to the video analytics computing system. The multiple video analytics queries can be executed utilizing resources of the video analytics computing system allocated between the multiple video analytics queries. Execution of the multiple video analytics queries can return respective results for the multiple video analytics queries.

Abstract: A method for processing an interrupt by a virtualization platform, and a related device, where the method includes determining an nth physical central processing unit (pCPU) from U target pCPUs when an ith physical interrupt occurs in a jth physical input/output device, setting the nth pCPU to process the ith physical interrupt, determining an ith virtual interrupt according to the ith physical interrupt, and determining an mth virtual central processing unit (vCPU) from V target vCPUs such that a kth virtual machine (VM) uses the mth vCPU to execute the ith virtual interrupt, where U, V, i, j, k, m, and n are positive integers while U and V are greater than or equal to 1.

Abstract: Various technologies described herein pertain to performing video analytics. The approaches set forth herein support live video analytics at scale with approximate and delay-tolerant processing. Video streams can be captured by multiple cameras and continuously streamed to a video analytics computing system; the video streams can be received at the video analytics computing system. Multiple video analytics queries can be executed on the video streams. The multiple video analytics queries can be concurrently executed by the video analytics computing system on the video streams as the video streams are continuously streamed to the video analytics computing system. The multiple video analytics queries can be executed utilizing resources of the video analytics computing system allocated between the multiple video analytics queries. Execution of the multiple video analytics queries can return respective results for the multiple video analytics queries.

Abstract: A method for implementing an inter-virtual processor interrupt is provided, which includes: when a source virtual processor needs to trigger an interrupt to a target virtual processor, writing register data that includes information about the target virtual processor and indication data used to indicate that the source virtual processor triggers the interrupt to the target virtual processor into a virtual register of a virtual advanced programmable interrupt controller (vAPIC) of the source virtual processor, so that a virtual machine monitor obtains the information about the target virtual processor and the indication data from the virtual register by means of parsing, and the virtual machine monitor injects an inter-virtual processor interrupt into the target virtual processor according to the information about the target virtual processor and the indication data.

Abstract: A method for processing an interrupt by a virtualization platform, and a related device, where the method includes determining an nth physical central processing unit (pCPU) from U target pCPUs when an ith physical interrupt occurs in a jth physical input/output device, setting the nth pCPU to process the ith physical interrupt, determining an ith virtual interrupt according to the ith physical interrupt, and determining an mth virtual central processing unit (vCPU) from V target vCPUs such that a kth virtual machine (VM) uses the mth vCPU to execute the ith virtual interrupt, where U, V, i, j, k, m, and n are positive integers while U and V are greater than or equal to 1.