Abstract: A method for shale gas exploitation includes performing horizontal drilling operation on an area to be constructed, forming a crack around a horizontal drill hole wall by shaped charge perforation; expanding the crack around a horizontal hole hydraulic fracturing, and extracting methane gas after a fracturing fluid is discharged; after methane gas is reduced, performing in-situ combustion explosion fracturing on the methane involved in horizontal drilling; thereafter continuing to expand the crack in the horizontal drill hole such that methane continues to seep out, and continuing extracting methane; repeating combustion explosion fracturing and extraction operations, so as to increase combustion explosion cracking permeability, and greatly enhance the exploitation effect of shale gas. The method is suitable for fracturing reconstruction of unconventional oil and gas reservoirs such as shale gas reservoirs, coal seam gas reservoirs and tight sandstone gas reservoirs.

Abstract: The disclosure provides a kit for detecting microsatellite instability and a method therefor. The kit includes a negative control, a plurality of qPCR reaction solutions, a qPCR premix and a sterile enzyme-free water; the plurality of qPCR reaction solutions includes 6 pairs of upstream primers and downstream primers of which the MSI mutation site is amplified, and a reference probe for the internal reference and a detection probe for the mutation site. The difference between the amplification of the gene and the gene at the mutation site of the samples and the negative control is used to detect the microsatellite instability. The method and kit as provided is easy and simple without the need of normal tissues being a control, and the need to open the cap. By doing so, aerosol pollution is avoided and sample supplies are conserved.

Abstract: The present application discloses a method for analyzing a cause of training-task queuing, wherein the method includes the steps of: obtaining a required resource that is required by a training task inputted by a user and a remaining resource of a cluster; in responding to that the remaining resource does not satisfy the required resource, obtaining a plurality of cluster center data that are pre-generated in a cluster model; regarding the required resource and the remaining resource as sample data, and calculating distances between the sample data and each of the cluster center data; and feeding back a cause corresponding to the cluster center datum that has a minimum distance with the sample data. The present application further discloses a system, a computer device and a readable storage medium.

Abstract: The present application discloses a system, readable storage medium, and method for analyzing a cause of training-task queuing, wherein the method includes the steps of: obtaining a required resource that is required by a training task inputted by a user and a remaining resource of a cluster; in responding to that the remaining resource does not satisfy the required resource, obtaining a plurality of cluster center data that are pre-generated in a cluster model; regarding the required resource and the remaining resource as sample data, and calculating distances between the sample data and each of the cluster center data; and feeding back a cause corresponding to the cluster center datum that has a minimum distance with the sample data.

Abstract: A method for submitting a training task by a rate limiting queue includes: monitoring load state information and predicting, by a trained neural network prediction model, a token bucket rate limiting queue parameter according to the load state information; adjusting the bearing capacity of a token bucket rate limiting queue according to the token bucket rate limiting queue parameter; configuring task parameters of training tasks, and determining, according to the task parameters and the bearing capacity, whether the token bucket rate limiting queue has the sufficient residual space to place the training tasks; in response to determining that the token bucket rate limiting queue has the sufficient residual space to place the training tasks, sending the training tasks to the token bucket rate limiting queue; and sequentially submitting the training tasks according to the bearing capacity in chronological order of the training tasks entering the token bucket rate limiting queue.

Abstract: Provided are a system and a method for assembling a double-deck vehicle body. The system includes a vehicle body chassis support and an upper floor support. The vehicle body chassis support includes a crossbeam, end supports, and an intermediate support, where the end supports are arranged separately at two ends of the crossbeam, the intermediate support is arranged at the middle of the crossbeam, a height of the end supports is greater than a height of the intermediate support, an upper surface of the end supports and an upper surface of the intermediate support are configured to be closely fitted to a lower surface of a vehicle body chassis; and the upper floor support is detachably arranged on a vehicle body chassis for supporting an upper floor of the vehicle body.

Abstract: Provided are a system and a method for assembling a double-deck vehicle body. The system includes a vehicle body chassis support and an upper floor support. The vehicle body chassis support includes a crossbeam, end supports, and an intermediate support, where the end supports are arranged separately at two ends of the crossbeam, the intermediate support is arranged at the middle of the crossbeam, a height of the end supports is greater than a height of the intermediate support, an upper surface of the end supports and an upper surface of the intermediate support are configured to be closely fitted to a lower surface of a vehicle body chassis; and the upper floor support is detachably arranged on a vehicle body chassis for supporting an upper floor of the vehicle body.