Abstract: Disclosed herein are novel compounds for treating apicomplexan parasite related disorders, methods for their use; cell line and non-human animal models of the dormant parasite phenotype and methods for their use in identifying new drugs to treat apicomplexan parasite related disorders, and biomarkers to identify disease due to the parasite and its response to treatment.

Abstract: The present invention relates to the technical field of mine fire prevention and extinguishing, in particular to a liquid nitrogen direct injection and low-temperature foaming intelligent filling system based on mine fire area characteristics and an application method, comprising a liquid nitrogen storage tank, a liquid nitrogen direct injection system and a low-temperature foaming system, wherein the liquid nitrogen storage tank communicates with a liquid nitrogen pressurizing device through a main pipeline; a temperature control unit is arranged on the main pipeline; and the liquid nitrogen pressurizing device is connected with the liquid nitrogen direct injection system and the low-temperature foaming system, respectively, liquid nitrogen is directly injected into a foam liquid, to prepare a low-temperature foam type fire preventing and extinguishing material by means of forced convection, membrane boiling, explosion boiling and nucleate boiling between the liquid nitrogen and water.

Abstract: A container kernel upgrade based on a programmable container kernel, includes, in response to receiving a container kernel upgrade request, freezing an application container in which a to-be-upgraded first container kernel is located. Current container status data of an application container including first container kernel status data and application status data is stored. The application container is restarted by using a second container kernel used for upgrading a container kernel, where restarted container status data of the restarted application container includes second container kernel status data corresponding to the second container kernel when the application container is restarted. Using the stored current container status data, a corresponding data field is updated in a data structure of the restarted container status data.

Abstract: Methods and systems for managing memory usage in data learning operations. The method includes profiling one or more objects used for training in the data learning operation, in which the profiling includes determining an object size, a memory allocation timestamp, and a memory deallocation timestamp; and scheduling the memory usage. The scheduling includes grouping the one or more objects into the one or more groups based on the memory allocation and/or the memory deallocation timestamp of the one or more objects, and arranging the one or more objects in the one or more groups in descending order in a memory space. Two or more objects are provided in the descending order in the memory space, in which one of the objects having an earliest memory allocation timestamp is provided at a first value and the other object having a later memory allocation timestamp is provided at a second value.

Abstract: The present disclosure relates to an in-situ temperature control platform, including an independent sample holder, a sample holder fixing cartridge, a customized sample stage and an anode contact pin. The independent sample holder includes a sample loading spot and a sample holder grip. The sample holder fixing cartridge includes a fixing cartridge body, the fixing cartridge body is provided with a sample holder slot, the bottom surface of the sample holder slot is provided with a heating element slot, and the sample holder slot is aligned with the sample loading spot. The bottom surface of the heating element slot is provided with a heating element fixing pinhole. The customized sample stage includes a sample stage body, the sample stage body is provided with a heating element support, and the heating element support is provided with a heating element.

Abstract: A multi-channel detecting circuit including a priority-setting circuit and an ADC (analog-to-digital converting) circuit is provided. The priority-setting circuit receives a plurality of sampled signals and a set signal, and provides the plurality of sampled signals at different output frequencies determined by the set signal. The ADC circuit receives the plurality of sampled signals, and respectively converts the plurality of sampled signals to a plurality of digital signals one by one.

Abstract: Methods and Internet of Things (IoT) systems for gas meter management based on a smart gas platform are provided. The method is implemented based on a smart gas device management platform of the IoT system for smart gas meter management, and the method comprises: obtaining traceability information and user information of a gas meter, the traceability information at least including active data and the active data being related to a gas meter management operation performed on the gas meter; in response to the active data satisfying a preset condition, generating warning information and sending the warning information to at least one associated platform of the IoT system for smart gas meter management; in response to receiving request information of a user, retrieving associated traceability information of the gas meter based on the request information, the traceability information, and the user information; and pushing the associated traceability information to the user.

Abstract: A nitride-based semiconductor device includes a first nitride-based semiconductor layer, a second nitride-based semiconductor layer, a third nitride-based semiconductor layer, a passivation layer, a gate insulator layer, and a gate electrode. The first nitride-based semiconductor layer includes at least two doped barrier regions defining an aperture between the doped barrier regions. The second nitride-based semiconductor layer is disposed over first nitride-based semiconductor layer. The third nitride-based semiconductor layer is disposed on the second nitride-based semiconductor layer and has a bandgap higher than a bandgap of the second nitride-based semiconductor layer. The passivation layer is disposed over the third nitride-based semiconductor layer, in which a vertical projection of the passivation layer on the first nitride-based semiconductor layer is spaced apart from the aperture. The gate insulator layer is disposed over the third nitride-based semiconductor layer.

Abstract: The invention provides a method for evaluating deep-buried tunnel blasting parameters, and belongs to the technical field of mine engineering. The method comprises: setting multiple diverse blasting schemes; selecting a plurality of test sections with the same geological characteristics, the number of the test sections corresponding to the number of the blasting schemes; blasting the test sections using the blasting schemes, and obtaining diversified monitoring data of each test section; and comparing the diversified monitoring data to select the optimal blasting schemes for the test sections. According to the method for evaluating the deep-buried tunnel blasting parameters, by implementing different blasting schemes in test sections with the same geological characteristics, diversified monitoring data of the test sections are obtained and compared to select the optimal blasting schemes for the test sections, so as to ensure the safety and quality of blasting excavation of deep-buried tunnels.

Abstract: Computer servers configured to perform digital image processing are discloses herein. In one embodiment, upon receiving a transcription command, a computer server performs text recognition based on patterns in a digital image to generate digital text data corresponding to the digital image. The computer server can then determine a content format of the digital text data based on the imported digital image and automatically apply the determined content format to the generated digital text data. The digital data can then be inserted into an electronic document.

Abstract: Systems, methods, and processor-readable media for elastic allocation of resources for deep learning jobs are described. A machine-learning-as-a-service (MLaaS) of a cloud computing system includes an elastic training module which includes resource allocator for allocating resources to training jobs that optimizes overall estimated time to completion (ETC) for all training jobs received by the system and uses node-based resource allocation. The elastic training module may realize a combination of high resource utilization, short training times, and low queueing delay relative to existing approaches, thereby potentially enabling the realization of higher profits for a cloud computing system which provides MLaaS to users (i.e. customers). An improved user interface is described, enabling users to specify a range of resources to elastically allocate to the user's training job, and/or informing users of training time saved through the use of elastic resource allocation.

Abstract: Various methods and systems are disclosed to improve detection probability of time of flight lidar systems by generating real-time background signals for individual pixels of a sensor of the lidar detection system and use the background signals to dynamically control the detection system of the lidar. The background signals, that indicate the amount of background light received by different pixels, are used for controlling the detection system by adjusting at least one of the optical system, the sensor, and the readout system of the detection system in order to reduce the impact of the back ground light on the detection and range finding functionality of the lidar.

Abstract: A display substrate, a test method for the display substrate and a display device are provided. The display substrate includes a base substrate, a touch detection circuit layer and a pixel driving circuit layer. The display substrate includes a display region and a non-display region surrounding the display region. The touch detection circuit layer includes a driving signal line and a dummy electrode line arranged side by side in the display region and insulated from each other, and both the driving signal line and the dummy electrode line extend from the display region to the non-display region. The non-display region is provided with a plurality of test pads including a first pad electrically connected to the driving signal line and a second pad electrically connected to the dummy electrode line.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for gas loss control based on a smart gas platform. The method is executed by a smart gas device management platform of the IoT system. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining a gas loss rate of the gas pipeline branch based on the gas delivery parameters and the gas data; and in response to the gas loss rate satisfying a first predetermined condition, adjusting a pressure of a gas pipeline network.

Abstract: Various methods and systems are disclosed to improve the reliability and accuracy of a time of flight lidar systems by generating real-time background signals for individual pixels of a sensor of the lidar detection system and use the background signals to generate confidence signals. The confidence signal indicates validity of a return signal or a probability that the return signal is not associated with interference with another lidar or light source. The confidence signals may be used by the lidar system to reduce the false alarm rate of the lidar.

Abstract: The present disclosure relates to a static CT detection device, including: a shielding body, formed with a detection channel through which an object under detection can pass; a ray source, emitting rays for detecting the object under detection when the object under detection passes through the detection channel; and a detector, for acquiring the rays emitted by the ray source and having passed through the detection channel, wherein the shielding body is formed with an opening portion, and the opening portion extends from an inlet of the detection channel to an outlet of the detection channel.

Abstract: A well cementing method is described for improving cementing quality by controlling the hydration heat of cement slurry. By controlling the degree and/or rate of hydration heat release from cement slurry, the method improves the hydration heat release during formation of cement with curing of cement slurry, improves the binding quality between the cement and the interfaces, and in turn improves the cementing quality at the open hole section and/or the overlap section. The cementing method improves cementing quality of oil and gas wells and reduces the risk of annular pressure.

Abstract: A method and a smart gas Internet of Things system for maintenance scheduling and management based on gas safety are provided. The method may comprise the following operations. Gas-related features of at least one area may be obtained, alert vectors of the at least one area may be determined based on the gas-related features, the alert vectors including a leakage alert value, a count of on-call maintenance personnel in the at least one area based on the alert vectors may be determined, whether the count of on-call maintenance personnel meets a preset threshold may be determined, in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, a real-time scheduling policy based on a scheduling capability value of the at least one area where the count of on-call maintenance personnel meets the preset threshold may be determined.

Abstract: A self-moving device, including: a moving module, a task execution module, a control module. The control module is electrically connected to the moving module and the task execution module, controls the moving module to actuate the self-moving device to move, controls the task execution module to execute a working task. The self-moving device further includes a satellite navigation apparatus, electrically connected to the control module and configured to receive a satellite signal and output current location information of the self-moving device. The control module determines whether quality of location information output by the satellite navigation apparatus at a current location satisfies a preset condition, controls, if the quality does not satisfy the preset condition, the moving module to actuate the self-moving device to change a moving manner, to enable quality of location information output by the satellite navigation apparatus at a location after the movement to satisfy the preset condition.