Abstract: Described herein are CD73 inhibitors and pharmaceutical compositions comprising said compounds. The subject compounds and compositions are useful for the treatment of cancer, infections, and neurodegenerative diseases.

Abstract: In some embodiments, a method receives a sequence of subsidiary features that are associated with a sequence of main features. A subsidiary feature provides subsidiary information for a main feature. A sequence of first weights for the sequence of subsidiary features is generates where a first weight in the sequence of first weights is generated based on a respective subsidiary feature. The method processes the sequence of first weights to generate a sequence of second weights. The processing uses relationships in the sequence of first weights to generate values of the second weights. The method uses the sequence of second weights to process the sequence of main features to generate an output for the sequence of main features.

Abstract: The present disclosure discloses a method for removing TBBPA in water, a microbial strain and a microbial agent, wherein the microbial strain is a domesticated Burkholderia cepacia strain, which is named Y17 with a conservation number GDMCC No. 62153. The microbial agent and the method for removing TBBPA in water with the microbial agent are that Y17 strains are colonized on the surface and pore channels of biochar, TBBPA in water is used as a carbon source, air and dissolved oxygen are used as oxygen sources, biochar provides the strains a growth microenvironment for degrading TBBPA in water, the strains are subjected to aerobic growth in water, and bio-enhanced degradation of TBBPA in water is performed by continuously degradation reaction. The removal method and the microbial strain as well as the microbial agent are high in degradation efficiency, environmental-friendly and low in cost, and can meet requirements on large-range promotion and application.

Abstract: The present disclosure provides a vehicle positioning method implemented by an electronic device, including: obtaining sensor data about N frames of a vehicle through a sliding window, N being a positive integer; creating a target function for a factor graph model in accordance with the sensor data about the N frames, and performing optimization solution on the target function; and determining a pose and a position of the vehicle in accordance with a target value obtained through the optimization solution on the target function.

Abstract: A control circuit for a constant-current drive circuit, as well as a constant-current drive circuit are disclosed. The control circuit can obtain output information of the constant-current drive circuit and use it in combination with reference information to determine, according to an output condition corresponding to the current load of the constant-current drive circuit, a time point for the system to enter or exit a rapid drive mode. Therefore, it can be suitably used in various application scenarios to determine a time point for the system to entry into or exit from the rapid start mode. Compared with fast charging for a fixed period of time as used in the prior art, embodiments of the present invention can effectively overcome the problem of easy overshooting or inadequate acceleration during start as found in various applications.

Abstract: A three-dimensional scene constructing method, apparatus and system, and a storage medium. The three-dimensional scene constructing method includes: acquiring point cloud data of a key object and a background object in a target scene, wherein the point cloud data of the key object comprises three-dimensional information and corresponding feature information, and the point cloud data of the background object at least comprises three-dimensional information; establishing a feature database of the target scene, wherein the feature database at least comprises a key object feature library for recording three-dimensional information and feature information of the key object; performing registration and fusion on the point cloud data of the key object and the point cloud data of the background object, so as to obtain a three-dimensional model of the target scene; and when updating the three-dimensional model, reconstructing the three-dimensional model in a regional manner according to the feature database.

Abstract: A method performed by a terminal in a wireless communication system, including receiving, from a base station, a physical downlink control channel (PDCCH); predicting aggregation level information including information about an aggregation level of a control channel element (CCE) in which the PDCCH is received based on an aggregation level prediction model; determining a detection order for detecting the PDCCH based on the aggregation level information; and etecting the PDCCH based on the determined detection order.

Abstract: Embodiments provide a foldable chair frame, it includes an intermediate connecting device including a main body, a block, a first rotating piece and a second rotating piece, the block being provided in an inner cavity of the main body and capable to slide up and down along the inner cavity, the first rotating piece and the second rotating piece being pivoted in an opening groove of the main body and capable to rotate around a pivot point; a plurality of leg tubes pivoted to a periphery of the intermediate connecting device through the first rotating piece; a plurality of front seat tubes and backrest tubes pivoted to the periphery of the intermediate connecting device through the second rotating piece. The present disclosure connects each tube to the intermediate connecting device to make the foldable chair more stable.

Abstract: A multi-fiber push-on/pull-off (MPO) connector and an MPO connector tool configured to facilitate insertion and removal into and from an MPO adapter. The MPO connector includes a ferrule, an inner housing holding the ferrule, an outer housing slidably coupled to the inner housing, and a clip coupled to one end of the outer housing and including a main body, a pair of longitudinally extending latch arms for engaging the outer housing, and a pair of laterally extending posts extending from the main body. In use, the MPO connector tool is positionable to apply a force on the laterally extending posts to translate the clip thereby translating the outer housing longitudinally to facilitate connector insertion and removal.

Abstract: In some embodiments, a method receives a history of videos that were viewed on a video delivery system as a first sentence in a sequential order and a target video as a second sentence as input to a prediction network. The prediction network analyzes representations for the history of videos and a representation of the target video. The prediction network generates a session representation based on bidirectionally analyzing a sequence of the first representations and the second representation. The method uses the session representation to determine whether to recommend the target video.

Abstract: In some embodiments, a method receives a first sequence of inputs for processing via a sub-model of a plurality of sub-model. The plurality of sub-models are part of a main model. An input in the sequence of inputs is masked with a masked value to generate a second sequence of inputs. The method processes the second sequence of inputs using the sub-model to generate a sequence of features that correspond to the second sequence of inputs and processes the sequence of features to generate a first output. The first output is processed to generate a second output of the main model. The sub-model is trained based on a feature in the sequence of features that corresponds to the masked input and the second output.

Abstract: A real-time abnormity-diagnosing and interpolation method for water regime-monitoring data relates to the technical field of monitoring water regime. This method includes the following steps: acquiring water regime-monitoring data, drawing a box plot, recognizing and diagnosing abnormal data in real time based on the box plot, performing grey correlation analysis on other variables related to a predictor variable, building a BP neural network model and making training, applying the BP neural network model to predict water regime-monitoring data in real time, and performing abnormity diagnosis and data interpolation. Adopting this method, we can effectively enhance predicting and monitoring the water regime-monitoring data in real time, and diagnose abnormal data and make interpolations in time, thereby improving the reliability of data, objectively reflecting water regime changes, and effectively guiding engineering scheduling.

Abstract: The present disclosure provides an external short-circuit protection apparatus for a lithium ion battery. The external short-circuit protection apparatus for the lithium ion battery includes at least one battery cell and a bus bar, wherein each battery cell is provided with a conductive tab, the conductive tab is adjacent to the bus bar, and under an action of external force, the bus bar and the conductive tab are in contact with or separated from each other to be electrically connected to or disconnected from each other. The bus bar is provided with an elastic bent portion, and under the action of a cover plate, an elastic bent portion of the bus bar and the conductive tab are in contact with or separated from each other to be electrically connected to or disconnected from each other.

Abstract: A vehicle-mounted device for detecting battery state comprises a controller, a load unit, and a switch unit. The load unit is coupled to the battery, the switch unit is coupled between the battery and the load unit. The controller can control the switch unit to disconnect or connect the battery and the load unit at a predefined frequency. The controller can switch the load unit to generate ripple voltage on the battery, and measure the ripple voltage of each battery cell, an abnormal state of a battery can be determined according to the ripple voltage of each battery cell.

Abstract: A method and apparatus for supporting a multiple-input multiple-output (MIMO) by a service management and orchestration (SMO) entity in a communication system using an open radio access network (O-RAN) includes receiving, from a first entity, first data, the first entity including at least one of an O-RAN centralized unit (O-CU) and an O-RAN distributed unit (O-DU), the first data including MIMO related information collected from the first entity, determining, based on the first data, a configuration for applying at least one of a single-user-multiple-input-multiple-output (SU-MIMO) and a multi-user-multiple-input-multiple-output (MU-MIMO), and transmitting, to a second entity that controls the first entity in the O-RAN, information on the configuration.

Abstract: A digital radiographic image of a subject is captured using a reduced exposure level of an x-ray source. One or more exposure control regions in the image is mapped and associated with a predetermined exposure level. A difference between the predetermined exposure level setting and the reduced exposure level is used to set a diagnostic exposure level perhaps about twice as high as the reduced exposure level to capture a diagnostic image of the subject.

Abstract: A method of detecting safe and other states of battery while electric vehicle is being driven controls an inverter to generate ripple current on the battery; ripple voltages of a plurality of battery cells are measured, voltage phase shifts between the battery cells are calculated. The battery can be analyzed as normal or otherwise according to the voltage phase shift between plurality of the battery cells. A vehicle-mounted device and a non-volatile storage medium therein, for performing the above-described method, are also disclosed.

Abstract: Embodiments of the present disclosure provide a method, device, and computer program product for error evaluation. A method for error evaluation comprises in accordance with a determination that an error occurs in a data protection system, obtaining context information related to an operation of the data protection system; determining, based on the context information and using a trained deep learning model, a type of the error in the data protection system from a plurality of predetermined types, the deep learning model being trained based on training context information and a label on a ground-truth type of an error associated with the training context information; and providing the determined type of the error in the data protection system. In this way, it is possible to achieve automatic classification of errors in the data protection system, thereby improving the efficiency in error classification and saving the operation costs.