Chinese Academy of Sciences

Hangzhou H3c Technologies Co., Ltd

International Business Machines Corporation

Oracle International Corporation

State Grid Corporation of China

Beijing Institute of Technology

Boe Technology Group Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Sas Institute Inc.

China Electric Power Research Institute Company Limited

Chengdu Boe Optoelectronics Technology Co., Ltd.

Petrochina Company Limited

Boe Optical Science and Technology Co., Ltd.

Beijing Orion Star Technology Co., Ltd.

Peking Union Medical College Hospital

Xiao Dong Li

Shouding Li

Bo Zheng

Jianming He

Zhaobin Zhang

Guanfang Li

Tianqiao Mao

Yanfang Wu

Xiangqing Chang

Xudong Zou

Bo Tong Liu

Xing Xing Shen

Chunguang Xu

Zexin Zhou

Dingxiang Du

He Jiang Jia

Huanzhang Liu

Yarong Guo

Yanzhi Hu

Delin Wang

Dingguo Xiao

Charles Baker

Miaohui Zhang

Xuming Liang

Sheng Jie Bj Han

Lang Xu

Qinxue Pan

Wentao Song

Zhongming Zhou

Chao Li

Zhi Hong Li

Li Cao

Ju Wang

Teresa S Jade

Pengfei He

Xingguo Wang

Yanhui Liu

Chunqi Zuo

Paul Jeffrey Kovach

Jian Wang

Wei Li

Dong Chen

Peng Hui Jiang

Fei Liu

Jing Li

Yuan Wang

Jing Chen

Jun Guo

Fei Gao

Zhi Li

Zhongqing Li

Ni Jiang

Qing Hua Hu

Yaohui Li

Lin He

Yong Guan

Fuxiang Li

Guoguang Li

Lihui Li

Jian Cao

Zhanming Wei

Haiyang Liu

Shengbao He

Bengu Wu

Zhenxia Chen

Mingyu Li

Sijing Wang

Yining Wang

Beixiu Huang

Yingwen Li

Ming Fan

Zhenxing Zhang

Zhongwei Fang

Jian Huo

Yiming Sun

Yanyu Li

Kang Zhou

Lu Lin

Chanjuan Qu

Zhengyu Jin

Ye Tian

Siyuan Wu

Huixin Li

Xuesheng Hu

Lianhai Li

Xiangwen Chen

Weigang Dong

Linan Liu

Huaqun Zhou

A multifunctional and visual rock triaxial testing system is provided. The multifunctional and visual rock triaxial testing system includes an axial loading system, a high-energy accelerator computerized tomography (CT) scanning system, a turntable system, a triaxial pressure cell, a fluid fracturing pump, a temperature pump, a confining pressure loading pump, a power oil source, and an integrated control console, where the turntable system is configured to drive the high-energy accelerator CT scanning system to rotate, so as to scan an internal structure of a rock sample; and the triaxial pressure cell and the fluid fracturing pump are configured to conduct compression and fracturing tests on the rock sample, respectively.

Multifunctional and visual rock triaxial testing system

A rock true-triaxial testing system based on computerized tomography (CT) scanning aims to solve problems in the prior art, that is, the rigidity of the frame in the testing system is insufficient; high-pressure lines, wires, and signal lines are entangled when rotating; and the reaction frame and loading actuators obstruct the ray. The rock true-triaxial testing system includes a true-triaxial loading system and a high-energy accelerator-based CT scanning system, where the high-energy accelerator-based CT scanning system is located inside the true-triaxial loading system, and the high-energy accelerator-based CT scanning system is configured to image an internal structure of a cubic rock sample and continuously apply a stress to the cubic rock sample through a plurality of piston extension rods in the true-triaxial loading system. The rock true-triaxial testing system reduces radiation attenuation, and ensures imaging quality and a stable and smooth loading process.

Rock true-triaxial testing system based on computerized tomography (CT) scanning

A drilling method and a drilling apparatus are provided. In the method, the feature parameter of the stratum around the well, the feature parameter of the stratum in front of the drill bit, the preset drilling parameter, the preset trajectory parameter, the current pose of the drill bit and the current rate of penetration of the drill bit are obtained; the feature parameter of the reservoir in front of the drill bit is determined based on the feature parameter of the stratum around the well and the feature parameter of the stratum in front of the drill bit; the above parameters are inputted to the pre-trained drilling parameter modification model to obtain drilling trajectory parameter and drilling speed parameters; and the drilling direction and the rate of penetration are regulated based on the above parameters.

Drilling method and drilling apparatus

Aspects of the invention include determining an event associated with a computing system, the event occurring at a first time, obtaining system data associated with the computing system, determining a system state of the computing system at the first time based on the system data, determining, based on the system state, two or more system data clusters comprising clustered system data associated with the system state of the computing system, determining, via an interpolation algorithm, an interpolated data value for the first time based on the system data, and adjusting the interpolated data value based on a determination that the interpolate data value is outside the two or more system data clusters.

Interpolating performance data

The present disclosure provides a method and system for acquiring an elastic modulus of a rock containing sedimentary rhythms, including: acquiring a rock sample containing sedimentary rhythms; measuring contents of rock elements in the rock sample at test points with an X-ray fluorescence (XRF) spectrometer, the test points being provided on different rhythms of the rock sample; determining a lithology of the rock sample according to the contents of the rock elements; determining an element-mineral relation equation according to the lithology; determining mineral components of the rock sample with the lithology and the element-mineral relation equation; determining a modulus coefficient of each of minerals according to the mineral components; and determining an elastic modulus of the rock sample according to the mineral components and the modulus coefficient of each of the minerals. The present disclosure can implement nondestructive testing on mechanical properties of rock samples.

Method and system for acquiring elastic modulus of rock containing sedimentary rhythms

A multi-stage perforation and shock wave combined device and method for initial fracture enhancement are provided. The multi-stage perforation and shock wave combined device for initial fracture enhancement includes a perforating gun and a shock wave excitation nipple, where the perforating gun is configured to fire perforating bullets into a formation to form initial fractures; the shock wave excitation nipple is connected to the perforating gun, and includes an energetic rod capable of exploding after excitation and a feeding assembly; the feeding assembly includes a pushing head, a reciprocating spring, and a feeding spring; and the reciprocating spring is configured to push the pushing head, so as to push a spare energetic rod into a target position.

Multi-stage perforation and shock wave combined device and method for initial fracture enhancement

A rock mechanics triaxial testing machine includes an outer pressure chamber and an inner pressure chamber located inside the outer pressure chamber, and a side wall of the inner pressure chamber is provided with a communication hole communicating with the outer pressure chamber; an upper pressure head and a lower pressure head which may be placed inside the inner pressure chamber; an axial pressure driving member, the axial pressure driving member may drive the upper pressure head and lower pressure head to approach each other to squeeze the rock sample; an axial deformation sensor, a radial deformation sensor, a lifting mechanism, the lifting mechanism may drive the inner pressure chamber to rise and fall. In the rock mechanics triaxial testing machine, the inner pressure chamber and the outer pressure chamber are nested indoors and outdoors, and the inner pressure chamber is used to quickly mount rock test samples.

Rock mechanics triaxial testing machine has shaft pressure driving piece and lifting mechanism driving inner pressure chamber to lift

A computer-implemented method for determining influence of applications on system performance includes collecting, by a processor, for several applications that are executing on a computing system, respective instrumentation data during multiple time-segments. The method further includes determining, for each of the applications, a performance value and a robustness value for each of the time-segments based on the respective instrumentation data. Further, using the performance value and robustness value for each time-segment, multiple health-waveforms are generated, where a health-waveform is generated for each respective application. The method further includes determining, by the processor, an influence-factor of a first application on a second application, the first application and the second application are executing on the computing system. The method further includes adjusting, by the processor, allocation of a computer resource by releasing the computer resource from the first application and allocating the computer resource to the second application based on the influence-factor.

Determining influence of applications on system performance

A preparation method of an anti-PD-1/PD-L1 monoclonal antibody (mAb)-induced autoimmune myocarditis model is provided, including: mediating a model with adeno-associated virus 9 (AAV9) to achieve the high expression of PDL1 in a myocardial tissue, and applying an anti-PD-1/PD-L1 mAb to the model with high PDL1 expression in the myocardial tissue for modeling. The present disclosure also provides use of an animal model prepared by the preparation method. The model prepared by the present disclosure truly simulates the pathogenesis and clinical course of autoimmune myocarditis in a patient administered with an anti-PD1/PD-L1 mAb, is close to a pathophysiological status of a clinical patient, has a high modeling rate, and can be dynamically monitored.

Mouse model of myocarditits

Provided in embodiments of the present application are a method and apparatus for user registration and electronic device. The method includes: after obtaining a wake-up voice of a user each time, extracting and storing a first voiceprint feature corresponding to the wake-up voice; clustering the stored first voiceprint features to divide the stored first voiceprint features into at least one category, wherein, each of the at least one category includes at least one first voiceprint feature which belongs to the same user; assigning one category identifier to each category; storing each category identifier in correspondence to at least one first voiceprint feature corresponding to this category identifier to complete user registration. The embodiments of the present application can simplify the user operation and improve the user experience.

Method and device for user registration, and electronic device

A method for exploiting a natural gas hydrate reservoir includes drilling a borehole entering the natural gas hydrate reservoir; perforating the borehole to form perforations; fracturing the natural gas hydrate reservoir via the perforations by using a gas containing calcium oxide powder having a particle size 0.001 to 10 mm to generate a fracture; and collecting natural gas released by the natural gas hydrate. The method is easy to operate, cost-effective, and suitable for commercial applications.

Exploiting structure for natural gas hydrate reservoir and exploiting method for natural gas hydrate by injecting hydraulic calcium oxide via gas fracturing

Text profiles can be leveraged to select and configure models according to some examples described herein. In one example, a system can analyze a reference textual dataset and a target textual dataset using text-mining techniques to generate a first text profile and a second text profile, respectively. The first text profile can contain first metrics characterizing the reference textual dataset and the second text profile can contain second metrics characterizing the target textual dataset. The system can determine a similarity value by comparing the first text profile to the second text profile. The system can also receive a user selection of a model that is to be applied to the target textual dataset. The system can then generate an insight relating to an anticipated accuracy of the model on the target textual dataset based on the similarity value. The system can output the insight to the user.

Leveraging text profiles to select and configure models for use with textual datasets

A device and a method for transferring and storing a deep in-situ core in a sealed and pressure-maintaining manner includes a pressure vessel, a sealed storage vessel, a control system, a pressure regulation system and at least one spherical valve. The pressure vessel includes a first barrel and a first end sealing piston mounted at a first end of the first barrel and being slidable in the pressure vessel. The sealed storage vessel includes a second barrel and a second end sealing piston which is mounted at a first end of the second barrel. At least one spherical valve is connected between the first barrel and the second barrel. The pressure regulation system is configured for regulating an amount of water in the second barrel. The control system includes a first pressure sensor, a second pressure sensor, and a controller.

Device and method for transferring and storing a deep in-situ core in a sealed and pressure-maintaining manner

Aspects of the invention include a computer-implemented method that includes converting runtime data points that are indicative of an influence of the runtime data points on a robustness and performance of a computing system. The runtime data points are clustered, wherein each cluster respectively represents a temporal state of the computing system. Each cluster is translated into a three-dimensional representation based on a probability density of the runtime data points of each cluster. A time-based vector is generated, where the vector describes a transition from a first three-dimensional representation to a second three-dimensional representation. Each three-dimensional representation traversed by the time-based vector represents a respective state of the computing system. The time-based vector is compared with a baseline vector. An anomaly alert is issued based at least in part on the comparison.

Performance data analysis to reduce false alerts in a hybrid cloud environment

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Beijing, China

Xiao Dong Li