Abstract: Embodiments described herein provide an apparatus comprising a plurality of processing resources including a first processing resource and a second processing resource, a memory communicatively coupled to the first processing resource and the second processing resource, and a processor to receive data dependencies for one or more tasks comprising one or more producer tasks executing on the first processing resource and one or more consumer tasks executing on the second processing resource and move a data output from one or more producer tasks executing on the first processing resource to a cache memory communicatively coupled to the second processing resource. Other embodiments may be described and claimed.

Abstract: Systems and methods are provided for improving product yields and/or product quality during co-processing of fast pyrolysis oil in a fluid catalytic cracking (FCC) reaction environment. The systems and methods can allow for co-processing of an increased amount of fast pyrolysis oil while reducing or minimizing coke production for a feedstock including fast pyrolysis oil and a conventional FCC feed. The reducing or minimizing of coke production can be achieved in part by adding a low molecular weight, non-ionic surfactant to the mixture of fast pyrolysis oil and conventional FCC feed.

Abstract: In an aspect, first interaction data characterizing a first interaction of a user with a mobile device configured to operate an application client can be received. A plurality of segments of users of the application client can be determined, and each of the plurality of segments can be associated with one or more settings that characterize an operating parameter of the application client. The user can be assigned to a first segment of the determined plurality of segments based on a correspondence between a characteristic of the user and a characteristic associated with the first segment. The application client can be modified based on the one or more settings associated with the first segment. The modified application client can be provided for interaction by the user via the mobile device. Related systems, apparatus, techniques, and articles are also described.

Abstract: The present application relates to a direct-drive wind farm parameter tuning method and system considering the interaction between generators, which belongs to the technical field of wind power generation. It solves the problem that the interaction between generators is not considered in the direct-drive wind farm in the prior art, the system stability level cannot be effectively evaluated online, and parameter configuration is unreasonable.

Abstract: Embodiments include methods of updating a background data transfer (BDT) policy negotiated between an application function (AF) and a core network (CN) of a telecommunication network. Such methods can be performed by a Policy Control Function (PCF) of the CN and can include, in response to receiving a notification of degraded network performance of a network area, determining that the negotiated BDT policy is affected by the degraded network performance and an Application Service Provider (ASP) associated with the negotiated BDT policy requested a warning notification. Such methods can include determining, at least based on operator policies, updated BDT policy information for the negotiated BDT policy, wherein the updated BDT policy information comprises at least one of the following: at least one candidate BDT policy, and updated conditions for the negotiated BDT policy. Such methods can include sending the updated BDT policy information to the AF.

Abstract: Aspects concern a method for correcting position estimates of a movable object. According to various embodiments, the method comprises establishing (1001) a hidden Markov model HMM, instance for a movable object and, for positioning times of a sequence of positioning times, receiving (1002) a position estimate from a positioning device of the movable object for a respective positioning time, determining (1003) a set of candidate path segments for the positioning time, determining (1004) likelihoods for the candidate path segments to correspond to the position estimate by application of the Viterbi algorithm to the HMM instance, expanding (1005) the HMM instance by the determined likelihoods for the candidate path segments for the positioning time and determining (1006) a corrected position estimate from a candidate path segment of the set of candidate path segments with the highest likelihood.

Abstract: A service processing method includes determining a first computing power resource for executing an offline task, determining N edge servers which execute the offline task and on which cloud applications are running based on idle computing power resources of the N edge servers being greater than the first computing power resource, and scheduling the offline task to the N edge servers in a distributed mode while ensuring normal operation of the cloud applications, so that each edge server in the N edge servers executes the offline task using the idle computing power resource of the edge server.

Abstract: A method for scheduling reception activity of a communication apparatus to receive wireless signals from a network device in a wireless network, comprising: collecting information regarding network and operation of the communication apparatus; determining a scenario of the communication apparatus according to the information regarding network and operation of the communication apparatus; determining one or more reception related parameters according to the scenario of the communication apparatus; and scheduling one or more reception activities in at least one Discontinuous Reception (DRX) off duration according to the one or more reception related parameters.

Abstract: Systems, methods and apparatus for object tracking using raw roadside LiDAR sensor data. In an embodiment, a computer processor of a computer receives raw LiDAR sensor data from a roadside LiDAR sensor and generates object data by filtering out background data from the raw LiDAR sensor data. The computer processor then clusters the object data into a plurality of clusters defining a plurality of objects, classifies each object of the plurality of objects, and tracks each classified object of the plurality of objects based on the discrete features data and on vehicle trajectory data collected over a predefined time period over a length of roadway.

Abstract: The present disclosure concerns lithium zirconium phosphate (LZP) chemical oxides for coated cathode active materials, which are useful in cathodes (i.e., positive electrodes) of rechargeable lithium-batteries for reversibly storing lithium ions (Li+).

Abstract: A method for detecting a surface welding quality of friction stir welding includes: acquiring a continuous surface depth image of a welding seam; intercepting a surface depth image segment of the welding seam with a proper step size, and dividing the intercepted surface depth image segments of the welding seam into a front reference region, a thinned region and a rear reference region; judging whether flatness of the front reference region is less than a threshold, and if yes, taking a height of the front reference region at this point as a latest reference height; if no, judging whether the flatness of the rear reference region is less than the threshold, and if yes, taking a height of the rear reference region at this point as the latest reference height; if no, taking the reference height of previous depth image segment as the latest reference height; and calculating a difference.

Abstract: A method for regeneration of spent cathode material of lithium-ion batteries involves lithiating the cathode material in a relithiation solution including a reducing agent at a temperature in the range of 60° C. to 180° C. for a sufficient time to heal composition defects in the cathode material. The lithiated material is then sintered to completely recover the properties. The relithiation solution may be a Li-ion source combined with nature-based organic reducing agent such as citric acid, ascorbic acid, tartaric acid, or similar.

Abstract: The present application discloses a fast-response switch power supply control circuit and a control method thereof. A triangular wave signal associated with inductor current information is obtained by a triangular wave generation circuit; the triangular wave signal is calculated with an error compensation signal by the capacitor circuit to obtain a first compensation signal; a comparator compares the first compensation signal with an output voltage feedback signal to obtain a comparison result to control the turning-on of the power switch transistor. The present application has the beneficial effects of good loop stability and fast dynamic response of the system without requiring a sampling circuit to sample the inductor current information in the case of using a relatively simple circuit.

Abstract: Disclosed are conjugates, comprising a PROTAC and a protein. Also disclosed are nanoparticles, comprising the conjugates disclosed herein and a membrane. The present disclosure further relates to therapeutic methods of using the conjugates and nanoparticles.

Abstract: Provided is a thermal management integration module (100) and an electric vehicle. The thermal management integration module (100) includes: a multi-channel integration board (110) having a plurality of cooling connection pipelines (111) formed therein, the multi-channel integration board (110) being configured as a carrier member for the thermal management integration module (100); and at least two thermal management components mounted on the multi-channel integration board (110) and connected to each other by the plurality of cooling connection pipelines (111). The design of the multi-channel integration board can not only serve as a connection channel between different thermal management components, but also serve as a carrier member for the entire integration module to enable the thermal management components to be integrated on the multi-channel integration board, forming the thermal management integration module with low costs, a light weight, and a small arrangement space.

Abstract: Methods, systems, and computer programs are presented for predicting a response probability to a sent notification. One method includes an operation for training respective neural networks to obtain a first, second, and third models. The first model generates an embedding based on member information. The second and third model generate parameters for a distribution function. The first model is used to calculate a member embedding when accessing a notification for a member. Further, the method second model calculates a first parameter value, and the third model calculates a second parameter value based on the member embedding. Further, the method determines, a first probability that the member will visit the online service in response to the notification and a second probability that the member will visit without sending the notification. The method further includes determining to send the notification based on the first probability and the second probability.

Abstract: Systems and methods are provided for production of renewable jet fuel and/or jet fuel blending component fractions. The systems and methods provide for formation of jet boiling range fractions via hydrodeoxygenation and catalytic dewaxing of bio-derived feeds. The systems and methods for reducing or minimizing recycle and/or forming only a jet boiling range product and a lower boiling range product can be facilitated based on selection of a suitable feedstock and/or based on selection of suitable reaction conditions and catalyst for the catalytic dewaxing.

Abstract: Novel techniques are described for positive entity-aware augmentation using a two-stage augmentation to improve the stability of the model to entity value changes for intent prediction. In one particular aspect, a method is provided that includes accessing a first set of training data for an intent prediction model, the first set of training data comprising utterances and intent labels; applying one or more positive data augmentation techniques to the first set of training data, depending on the tuning requirements for hyper-parameters, to result in a second set of training data, where the positive data augmentation techniques comprise Entity-Aware (“EA”) technique and a two-stage augmentation technique; combining the first set of training data and the second set of training data to generate expanded training data; and training the intent prediction model using the expanded training data.

Abstract: The present disclosure discloses a method for synthesizing a speech. The method includes generating the speech based on a text with a speech synthesis model, wherein the speech synthesis model includes an embedding layer, a speech synthesis layer, and a position layer; and training the speech synthesis model when an evaluation index meets a preset condition, wherein the evaluation index includes one or more quality indexes determined based on at least a part of the text and at least a part of the speech.

Abstract: A thermoplastic composite material has an inner layer material and at least one layer of outer layer material. The inner layer material is a core layer that contains fiber bundles, a first thermoplastic resin and a first auxiliary agent; and the at least one layer of outer layer material wraps the core layer and is a resin layer comprising a second thermoplastic resin and an optional second auxiliary agent. The fiber bundles extend continuously from one end of the core layer to the opposite end thereof. The inner layer-outer layer composite structure, can effectively improves the processing performance of the thermoplastic composite material and the lubricity between fibers and resin matrixes during injection molding, and improves the fluidity of the fibers in a resin matrix melt.