Abstract: Implementations are described herein for automatically generating multimodal geospatial workflows for accomplishing geospatial tasks. In various implementations, a natural language request may be processed based on generative model(s) such as LLM(s) to generate workflow output tokens that identify high-level actions for completing a geospatial task conveyed in the natural language request. First data indicative of the high-level actions may be processed using one or more of the generative models to generate dataset output tokens that identify responsive dataset(s) that likely contain data responsive to the geospatial task. Second data indicative of both the high-level actions and the responsive dataset(s) may be processed based on one or more of the generative models to generate data manipulation output tokens that identify data manipulation instructions for assembling data from the responsive dataset(s) into a response that fulfills the geospatial task.

Abstract: Embodiments of the disclosure provide a method, apparatus, electronic device and storage medium for interaction. The method includes: receiving an explanation operation of a current user in a live streaming page, the current user being a live streamer of a live session corresponding to the live streaming page, and at least one recommendation object being present in the live session; in response to the explanation operation, determining a first recommendation object corresponding to the explanation operation in the at least one recommendation object; and displaying a first explanation card corresponding to the first recommendation object on the live streaming page, the first explanation card being used to switch an object state of the first recommendation object, and the object state comprising an explained state and an unexplained state.

Abstract: The present invention discloses a new compound, such as a compound of formula I, or a pharmaceutically acceptable salt thereof or an isomer thereof. The compound has a good fungal inhibitory effect, can be used for effectively preventing or treating fungal infections, and is a new generation of echinocandin-based drugs with higher efficiency.

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: 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: 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.