Tencent Technology (shenzhen) Company Limited

Shenzhen Act Industrial Co., Ltd.

Hon Hai Precision Industry Co., Ltd.

Hong-fu Jin Precision Industry (shenzhen) Co., Ltd.

S. C. Johnson Son, Inc.

Zte Corporation

Huawei Technologies Co., Limited

Tianma Micro-electronics Co., Ltd.

Johnson Electric S.a.

Shanghai Tianma Am-oled Co., Ltd.

Byd Company Limited

Honor Device Co., Ltd.

Shenzhen Yinwang Intelligent Technologies Co., Ltd.

Shenzhen Byd Auto R&d Company Limited

Edan Instruments, Inc.

Gang Liu

Xiaohui Li

Menghua Liu

Scott W Demarest

Guang-Yao Lee

Yan Huang

Donald J Schumacher

Hsuan-Tsung Chen

Dirk K Nickel

Yue Ping Li

Lei Li

Tao Zhang

Dongxu Xiang

Qi Wang

Haijun Yu

Tong Wu

Yong Tian

Xiaona Zhao

Bing Yu

Jia Wan

Gene Sipinski

Xiaofeng Shen

Yu Wu

Dawei Zhu

Bo Qiu

Xihua Huang

Qi Yang

Yunsheng Wu

Xuan Zhang

Junhao Zhang

Qing-Hui Mi

San Yuan Xiao

Qi Song

Zhi Li

Hongyue Wang

Xin Hu

Yanshan He

Christine D Beilstein

Xicheng Xie

Xiaolin Huang

Meiling Zhang

Somphote Ahunai

Liwei Cao

Chenyuan Zhu

Zufeng Ji

Gonghua Wang

Youdong Pan

Shuo Li

Guowei Fu

Ji Wan

Cunwei Liu

Li Xiaohui

Jinsong Yu

Xiaogang Tan

Yuanheng Liu

Guangrong Wu

Bingqiang Li

Jiajie Chen

Cao Kai Zheng

Zhao Hui Peng

Ying Wen

Dingyong Gou

Jun-Yuan Huang

Wenqi Zeng

Ru Su

Shuyong Cao

Xiaoming Ouyang

An Xiao

Ben Chen

Qiu-Gui Xie

Steve Han Ngok Cheng

Yuan Heng Liu

Yi-Wei Hung

Yuanfei Lu

Zhengqing Xiong

Wen Wu Pan

Xiao Meng Deng

Wai Chiu Tang

Jian Hua Li

Hang Hang Cheng

Xian Kai Luo

Zhenyu Zhang

Zuhong Gui

Yang Wu

Apeng Zhao

Guofeng Zhou

Jianlin Zhu

Wenming Cheng

Qianli Zhang

Jiewen Hu

Tenghao Chen

Si Yuan Zhang

Shuping Li

Jiaojiao Sun

Xiaoming Wen

Energy storage battery

A named entity recognition (NER) method includes: acquiring target text information; inputting the target text information into an input representation layer in a target recognition model to generate a target vector sequence; inputting the target vector sequence into a semantic representation layer to obtain a tag prediction sequence; and inputting the tag prediction sequence into a condition discrimination layer to determine target items in a set of attribution probabilities.

Named entity recognition method and apparatus, device, and storage medium

Air cooler

Mosquito killer lamp

An information determining method includes: acquiring a feature vector of a target multimedia resource and feature vectors of multiple candidate multimedia resources; selecting, from the multiple candidate multimedia resources, a reference multimedia resource whose feature vector corresponds to the feature vector of the target multimedia resource; and selecting information corresponding to the target multimedia resource from multiple pieces of information about the reference multimedia resource according to the multiple pieces of information, and determining the selected information as information about the target multimedia resource.

Information determining method and apparatus, computer device, and storage medium

Disclosed is an apparatus for charging a battery comprising a first charging device configured to communicate with at least one second charging device, the first charging device and the at least one second charging device configured to charge the battery, and comprising a first controller configured to control the first charging device, wherein the first controller determines the number of the at least one second charging devices by communicating with a second controller.

Apparatus, system and method for charging a battery

A method and a platform for detecting an immunogenicity of a tumor neoantigen are provided. Specifically, the detection method includes the following steps: culturing human peripheral blood monocytes ex vivo for 13 days, adding an antigenic peptide fragment of human influenza virus and stimulating and activating cytokines, antigenic peptides, and immunoadjuvants during the 13 days, and finally conducting enzyme-linked immunospot (ELISPOT) chromogenic reaction and instrument-based scanning, counting, and analysis to detect the immunogenicity of tumor neoantigen. An application of the detection method and platform in biomedicine is provided. Compared with the prior art, the detection method and platform have advantages and characteristics of a short detection period, high convenience, low consumption of experimental cells, and low detection cost. Therefore, the detection method and platform can be used for ex vivo high-throughput assay for the immunogenicity of the tumor neoantigen.

Method and platform for detecting immunogenicity of tumor neoantigen

Cooling fan

A display panel with display and non-display regions has pixel units in the display region. The non-display region defines a bonding region in which there are traces and driving chips. The driving chips are bonded in a flexible printed circuit, and electrically connect with the pixel units. The traces include high-speed signal traces, power traces, and grounding traces. The grounding traces are adjacent to the power traces and so disposed as to shield against electromagnetic interference affecting the signal and power traces, the grounding traces serving as reference ground to the power traces, and form a shield against electromagnetic interference.

Display panel with internal traces proofed against electromagentic interference

A social networking relationships processing method includes: accessing a first forward-relationships set corresponding to a user identification of a first user in multiple data centers; obtaining an inverted-reverse-relationships set corresponding to the user identification of the first user; determining whether a difference between the first forward-relationships set of the first user and the inverted-reverse-relationship set corresponding to the user identification exists; in response to determining that the difference between the forward-relationships set and the inverted-reverse-relationships set exits, identifying a second user that causes the difference; respectively accessing first relationship information of the first user and second relationship information of the second user stored in associated data centers; and updating at least one of the first forward-relationships set of the first user or a second reverse-relationships set of the second user according to the relationship information of the first user and the second user from the associated data centers.

Social networking relationships processing method, system, and storage medium

A first client performs fragmentation on a to-be-uploaded file, to obtain multiple file fragments, and calculates check information of the file fragments. The first client uploads a file fragment to a second server according to an address of the second server obtained from a first server. When the first client uploads the file fragment, the first server sends a file identifier of the file to a third server; the third server determines, according to the file identifier of the file, a second client that saves at least one file fragment. According to file upload information separately sent by the third server to the first client and the second client, the first client and the second client separately upload a corresponding file fragment.

File upload method and system

Growing community of inventors

Shenzhen, China

Gang Liu