Abstract: A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times.

Abstract: The present application relates to the field of semiconductors, in particular, to the field of Dynamic Random Access Memories (DRAMs), and provides a method and system for detecting a mismatch of a sense amplifier. The method creates a sense amplifier by delaying switch-on of a positive channel-metal-oxide-semiconductor (PMOS) transistor or a negative channel-metal-oxide-semiconductor (NMOS) transistor in the sense amplifier and shortening a row precharge command period (tRP).

Abstract: Embodiments of the present disclosure relate to methods, systems, and computer program products for optimized prediction of a tree ensemble. According to a method, an input request is received, which indicates a plurality of input values for a plurality of variables associated with a tree ensemble. A plurality of target transformed intervals, into which the plurality of input values fall respectively, are determined by matching the plurality of input values with a plurality of sets of transformed intervals for the plurality of variables respectively. Respective prediction results for a plurality of tree models of the tree ensemble are determined based on the plurality of target transformed intervals and respective node hierarchies of the plurality of tree models. A tree ensemble prediction result is determined for the input request based on the determined prediction results of the plurality of tree models.

Abstract: One or more computer processors calculate a cache prediction for a received inference request within an inference cache structured as a self-learning tree, wherein the inference request comprises a set of input values. The one or more computer processors responsive to the retrieved cache prediction exceeding a cache prediction threshold, transmit the cache prediction. The one or more computer processors parallel compute a model prediction for the received inference request utilizing a trained model. The one or more computer processors responsive to the retrieved model prediction exceeding a model prediction threshold, convert the trained model into a tree structure. The one or more computer processors update the inference cache with the converted train model. The one or more computer processors transmit the model prediction.

Abstract: A remote reconfiguration system for an Internet of Things (IoT) intelligent sensing terminal includes: a controlled terminal with a field programmable gate array (FPGA); and a remote control unit connected to the controlled terminal and a control device; where the remote control unit is configured to receive control information sent by the control device, process the control information and send the processed control information to the FPGA, such that the FPGA performs remote local autonomous reconfiguration based on the preprocessed control information. The system resolves problems that a traditional IoT terminal cannot realize remote control and cannot follow functional requirements to perform local autonomous reconfiguration, and has better versatility and expandability.

Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Abstract: The present invention relates to benzimidazole derivatives of formula (I) as inhibitors of retinoid-related orphan receptor gamma (ROR?) protein, pharmaceutical compositions containing the compounds, preparation methods thereof, and the use of the compounds as therapeutic agents for the treatment of ROR?-mediated diseases or disorders.

Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Abstract: An apparatus includes a switching circuit, a resonant circuit coupled to an output of the switching circuit, a rectification circuit coupled between the resonant circuit and an output of the apparatus, and a controller coupled to the switching circuit. The controller, during a soft start-up operation of the power supply, is configured to switch a plurality of switches with a variable limited maximum duty cycle at a minimum frequency and after the variable limited maximum duty cycle reaches the limited maximum duty cycle at the minimum frequency, simultaneously switch the frequency to a maximum frequency and switch the duty cycle to a minimum duty cycle at the maximum frequency for a same on-time as the limited maximum duty cycle at the minimum frequency.

Abstract: An apparatus includes a switching circuit, a resonant circuit coupled to an output of the switching circuit, a rectification circuit coupled between the resonant circuit and an output of the apparatus, and a controller coupled to the switching circuit. The controller, during a soft start-up operation of the power supply, is configured to switch a plurality of switches with a variable limited maximum duty cycle at a minimum frequency and after the variable limited maximum duty cycle reaches the limited maximum duty cycle at the minimum frequency, simultaneously switch the frequency to a maximum frequency and switch the duty cycle to a minimum duty cycle at the maximum frequency for a same on-time as the limited maximum duty cycle at the minimum frequency.

Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Abstract: Calculating, for each frame of a plurality of frames, a corresponding quality value; calculating, for each frame of the plurality of frames, based on one or more visual attributes of a frame, a weight for the corresponding quality value of the frame; calculating an aggregate quality value for the plurality of frames based on the weight and the corresponding quality value for each frame of the plurality of frames; and providing an assessment of the plurality of frames based on the aggregate quality value for the plurality of frames.

Abstract: A computer-implemented method, system and computer program product for accurately identifying an execution time of a performance test. Network latency data is grouped into clustered groups of network latency data. Furthermore, the performance test execution times for the same group of performance tests run in the local and remote cluster environments are obtained. The test execution times impacted by network latency (compensation times) are then determined based on such obtained performance test execution times in the local and remote cluster environments. Such compensation times are then grouped into clustered groups of compensation times. A regression model is built to predict a performance test execution time impacted by network latency (compensation time) using the clustered groups of network latency data and compensation times.

Abstract: A self-adaptive electric toothbrush includes a handle and a brush head. A vibrating motor is arranged in the handle. Bristles are arranged on the brush head. An output shaft of the vibrating motor extends out of the handle and is connected to the brush head through a delay structure. By the delay structure, the brush head remains stationary or the amplitude of the oscillation of the brush head is less than the amplitude of the oscillation of the output shaft after the vibrating motor is activated and before pressure is applied to the bristles. After pressure is applied to the bristles, the amplitude of the oscillation of the brush head is greater than the amplitude of the oscillation before pressure is applied. In the self-adaptive electric toothbrush, before the pressure is applied, the brush head is stationary or the amplitude of oscillation is small.

Abstract: Systems and computer-implemented methods select a subset of methods to generate data schemas for input data from a list of methods for generating data schemas, based on output of a regression model; generate a candidate schema for each method in the subset of methods to generate data schemas; and generate a master data schema for the input data by merging the candidate schema for each method in the subset of methods to generate data schemas, utilizing predetermined rules.

Abstract: The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method for instantiating a first specific model, as one record, based on a model scoring template, clustering a plurality of models into a plurality of groups to obtain a plurality of clusters, computing a model contribution weight value for the given cluster, choosing a set of top model(s) from the plurality of models, and updating the model(s) of the set of top model(s) dynamically.

Abstract: This application discloses a new class of fused tricyclic heterocycles of formula (I), preparation methods thereof, pharmaceutical compositions comprising these compounds, and pharmaceutically acceptable salts, solvates, or prodrugs thereof, and their uses for the treatment of diseases in which modulation of STING is beneficial, for example, cancers, pre-cancerous disorders, and viral infections.

Abstract: The present disclosure provides a display module, including a display panel and a cover plate covering a light-exiting surface of the display panel. The cover plate includes a display panel setting region and a functional module setting region, a light shielding structure is connected to a side wall of the display panel close to the functional module setting region, the functional module setting region includes a light shielding region and a light transmitting region for exposing a functional module, the light shielding region surrounds the light transmitting region, and the light shielding region is provided with an alignment mark for the attachment of a protective film configured for covering the light transmitting region. The present disclosure further provides a display device.

Abstract: A message right management method, and a device and storage medium for implementing the method, are provided. The message right management method includes obtaining a message created by a source user, and sending a message notification to a target user in a social platform. The method further includes verifying the target user when receiving a request for logging onto a message page from the target user, and controlling logon of the target user to the message page on the basis of a verification result. The method further includes, when receiving a service request of the target user with respect to the message, determining, based on a message right control policy, whether the target user has a right corresponding to a service requested by the service request, and controlling a response to the service request according to a determining result.