International Business Machines Corporation

Huawei Technologies Co., Limited

Saic Motor Corporation Limited

Shanghai Huali Microelectronics Corporation

Codexis, Inc.

General Electric Company

Musically Inc.

Semiconductor Manufacturing International (Shanghai) Corporation

Semiconductor Manufacturing International (Beijing) Corporation

Fudan University

Shanghai Normal University

Spreadtrum Communications (Shanghai) Co., Ltd.

Shanghai Ic R&d Center Co., Ltd

Shanghai University of Medicine & Health Sciences

Shanghai Ic R&d Center

Jian Ding

Peng Ji

Guo Qiang Hu

Ning Duan

Zhi Hu Wang

Jing Chang Huang

Peng Gao

Jun Chi Yan

Shao Chun Li

He H Liu

Zhong Xian Li

Hua Fang Tan

Steven M Kagan

Kathryn Allyn Bassin

Wei Shan Dong

Guoqiang Hu

Jiayin Zhang

Jian Wang

Susan Eileen Skrabanek

Sheng Huang

Xin Zhang

Chang Li

Yalin Liu

Yingpei Lin

Meilu Lin

Ting Yuan

Jiyong Pang

Fan Li

Jian Dong Ding

Hailong Ge

Osama S Aboul-Magd

Jung Hoon Suh

Chun Ma

Le Liu

Jun Sun

Yuan Yuan Ding

Howard M Hess

Sheng Nan Zhu

Xiao Bo Li

Sidong Luo

Wei Sun

Jian Yu

Hongjia Su

Jian Xu

James Joseph LaLonde

Xin Hao Cheng

JingChang Huang

Zhengmin Gu

Luyu Yang

Li Wang

Ming Gan

Shiwan Zhao

Zhengzheng Xiang

Yu Huang

Lisa Marie Newman

Lijun Chen

Ren Jie Yao

Huibin Zhu

Jinfeng Li

Yukun Lv

Renjie Yao

Hongxiang Leng

Zhenxing Fu

Chengjie Ma

Li Ni Zhang

Xun Yang

Robert Gregory Wagoner

Gjalt W Huisman

Jun Luo

Xiyun Zhang

David Grey Smith

Emily Mundorff

Wei Bin Lin

Shoichiro Watanabe

Jack S Liang

Lorraine Joan Giver

Xinlin Wang

John M Gruber

Tianyu Wu

Junchi Yan

Benjamin Mijts

Behnaz Behrouzian

Stephane J Jenne

Michael D Clay

Wen Han Luo

Zhan Peng Huo

Qi Liu

Jun Zhu

Zhao Cao

Xuan Feng

John H Grate

Qian Zhao

Minjie Chen

Susan E Smith

Xueqin Wu

Yu Ren

Kuo-Liang Chou

Hsusheng Chang

Xun Liu

Jiandong Ding

A processor may receive an image of the collection of material having a plurality of objects. The processor may identify the anomaly from the plurality of objects. The processor may generate a bounding box for the anomaly. The processor may generate one or more picking points on the anomaly. The one or more picking points may be configured on at least one balance points of the anomaly. The processor may remove the anomaly from the collection of material via the one or more picking points.

Locating picking points of anomalies

Processing within a container-based computing environment is facilitated by standardizing container identification processing. The process includes, for a container being provided from a container image, extracting multiple layer files from the container image and using natural language processing to determine frequency of occurrence of software components in the multiple layer files of the container image. Further, the process includes generating a container name for the container using the determined frequency of occurrence of software components in the multiple layer files of the container image. The method further includes providing the container for the container-based computing environment using the container image and the generated container name. The generated container name facilitates processing within the container-based computing environment by being based, at least in part, on the frequency of occurrence of software components in the multiple layer files of the container image.

Container name identification processing

Computer-implemented methods for performing automated pre-processing of data for a machine-learning based prediction system are provided. Aspects include receiving a plurality of raw data sets, receiving a plurality of processed data sets, wherein each of the plurality of processed data sets corresponds to one of the plurality of raw data sets, and generating a plurality of pre-processing templates based on the plurality of raw data sets and the processed data set. Aspects also include receiving an input data set, generating, for each of the plurality of pre-processing templates, a matching score for the input data set, and selecting one of the plurality of pre-processing templates based on the matching score. Aspects further include pre-processing the input data set using the selected pre-processing template and providing the pre-processed input data set to the machine learning based prediction system.

Automated data pre-processing for machine learning

The present invention pertains to the technical field of biomedicine, and relates to isopaucifloral F phosphate compounds and pharmaceutical uses thereof. It has been confirmed through experiments that said isopaucifloral F phosphate compounds and pharmaceutically acceptable salts thereof have effects on the bone remodeling process by exerting their anti-osteoporosis efficacy through a dual-mode mechanism of action of promoting osteogenesis and reducing osteoclast resorption, have the characteristics of high bioavailability, stable metabolism and good safety, and can be used to prepare a new generation of anti-osteoporosis drugs.

Isopaucifloral F phosphate compound and pharmaceutical use thereof

A transaction method and a node design in a blockchain system, where a client initiates a transaction using a Structured Query Language (SQL) write command including transaction data or queries transaction data using an SQL query command. A node parses an SQL command, executes a simulated transaction, and checks block data based on a transaction result of the simulated transaction after obtaining the block data. After the check succeeds, the node converts the block data into an SQL write command that writes the block data, thereby writing the block data to a relational database.

Blockchain node and transaction method

The invention discloses a plant thermo-sensitive male sterile gene mutant tms15 and uses thereof. The nucleotide sequence of the plant thermo-sensitive male sterile gene mutant tms15 is SEQ ID No. 1. The inventor screened the thermo sensitive genic male sterile mutant tms15 by EMS mutagenesis of Zhonghua 11, which showed a male sterile phenotype under high temperature conditions (>28° C.) and restored fertility under low temperature conditions (22˜24° C.). The cytological results shows that the sporogenous cells in tms15 plants proliferated excessively and the tapetum cells are also vacuolized abnormally under high temperature. The normal proliferation of sporogenous cells and the normal development of tapetal cells are restored to some extent after low temperature treatment.

Plant thermo-sensitive male sterile mutant tms15 and uses thereof

The invention provides a multi-dimensional broad-spectrum clinical in-situ testing equipment designed to evaluate the material properties of plantar soft tissue. The equipment comprises the following features: 1. A testing table with a designated area corresponding to the sole of the foot; 2. A vertical reciprocating stress-strain testing unit mounted on the testing table, for applying vertical tensile and compressive stresses to the plantar and measuring the stress-strain responses; 3. A shear stress-strain testing unit, mounted on the testing table, for applying shear stresses to the plantar and measuring the stress-strain responses; 4. A torque stress-strain detection unit, positioned on the testing stage, for applying torque to the plantar and measuring the stress-strain responses; 5. A lifting mechanism that facilitates the vertical movement of the three testing units. In conclusion, the device is capable of multi-dimensional detection of the mechanical properties of plantar and features a compact structure and easy portability.

Multi-dimensional broad-spectrum clinical in-situ testing equipment for evaluating mechanical properties of plantar soft tissue

A battery energy storage module and a battery energy storage device. The battery energy storage module comprises: a structure body (), a support member (), and a cell group (). A cavity for accommodating the cell group () is formed inside the structure body (). The structure body () is provided with an opening. The cell group () is disposed in the cavity of the structure body () through the opening of the structure body (). The support member () is used for supporting the structure body () to protect the cell group () disposed in the cavity of the structure body (). Because the support member () is used for supporting the structure body () to protect the cell group () disposed in the cavity of the structure body (), the battery energy storage module can have strong impact resistance, and can be applied to a full vehicle environment alone without being disposed in a protection tray.

Battery energy storage module and battery energy storage device

A stator winding structure () for a motor. The motor is a three-phase alternating current motor having eight poles. Each phase comprises four shunt wound branches. The stator winding consists of multiple U-shaped flat copper wires (). A connection portion of each U-shaped flat copper wire () disposed in the motor is located on the same side with respect to the motor. The technical solution also provides a motor comprising the stator winding structure () and a vehicle comprising the motor.

Stator winding structure and motor comprising same

A method for sending a wireless local area network packet structure is provided, and the method comprises: determining a packet structure, where the packet structure comprises an HE-SIGA and an HE-SIGB, the HE-SIGA comprises an indication information, and if a current transmission mode is a full bandwidth MU-MIMO transmission, the indication information is used to indicate a number of scheduled users, or if the current transmission mode is other transmission mode, the indication information is used to indicate a number of symbols in the HE-SIGB; and sending the packet structure.

Method and apparatus for transmitting wireless local area network information

Disclosed are a winding structure for an electric motor and an electric motor. The electric motor comprises an iron core () and a multi-phase winding structure (), wherein the iron core () is provided with a plurality of grooves () arranged in the circumferential direction, and one side of the iron core () is an inserting side, and the other side is a welding side; the multi-phase winding structure () is arranged in the plurality of grooves () of the iron core (), each phase of the winding structure () comprises N parallel winding sub-windings formed by a plurality of hairpin conductors of different shapes, and N is a positive even number; and the conductors, forming each phase of the winding structure (), of the same sub-winding are located on a non-adjacent conductor layer corresponding to the grooves ().

Winding structure for electric motor and electric motor

A method for continuously preparing nano zinc oxide using carbon dioxide. The method includes: step 1, determining experimental materials and experimental instruments; step 2, preparing a raw material and processing the raw material; step 3, oxidizing the preprocessed emulsified zinc slurry; step 4, carbonizing the zinc-free emulsified zinc slurry; step 5, filtering and washing; and step 6, drying and calcining. By using carbon dioxide as a transformation precipitant and using the carbonization method to prepare industrial by-products such as zinc slurry into alkaline zinc carbonate, the nano zinc oxide is obtained through liquid removal, impurity removal, drying, and calcination. Compared with traditional nano zinc oxide preparation methods, the method has a simple and green process flow, a wide source of raw materials, and can prepare nano zinc oxide products with different purities and particle sizes.

Method for continuously preparing nano zinc oxide using carbon dioxide

The embodiments of the present disclosure may provide an oncolytic virus vector and an application thereof. The oncolytic virus vector may comprise a recombinant nucleic acid. The recombinant nucleic acid may include: (i) a first nucleic acid fragment encoding a soluble PD-1 molecule; (ii) a second nucleic acid fragment encoding a CD86 molecule; and (iii) a third nucleic acid fragment encoding an antibody to a CD3 molecule.

Oncolytic virus vector and application thereof

A method for blockchain generation is provided. The method includes: sending, by a client, transaction information to a first node device, where the transaction information includes basic information and digest information; receiving, by the client, an endorsement result sent by the first node device, where the endorsement result includes a signature generated after the first node device successfully performs transaction simulation; and if the endorsement result meets a preset transaction condition, sending, by the client, the digest information and the endorsement result to a second node device, so that the second node device sends, to the first node device the digest information to generate a complete blockchain. In this way, only the digest information is transmitted between the first node device and the second node device. Therefore, the second node device does not obtain the complete transaction information, so that information security is improved.

Blockchain generation method and system, and related device

A transaction method and a node design in a blockchain system, where a client initiates a transaction using a Structured Query Language (SQL) write command including transaction data or queries transaction data using an SQL query command. A node parses an SQL command, executes a simulated transaction, and checks block data based on a transaction result of the simulated transaction after obtaining the block data. After the check succeeds, the node converts the block data into an SQL write command that writes the block data, thereby writing the block data to a relational database (RDB).

Growing community of inventors

Shanghai, China

Jian Ding