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

Chinese Academy of Medical Sciences

Beijing Jiuyu Oncolgy Co., Ltd.

Boe Technology Group Co., Ltd.

Hefei Boe Optoelectronics Technology Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Ge Medical Systems Global Technology, LLC

Zhiqiang Liu

Zhiyong Shen

Zengqiang Yuan

Shihong Liu

Xiaowen Xing

Bingshui Xiu

Yu Chen Zhou

Yangkun Jing

Ruifeng Li

Xiaopan Che

Lei Yuan

Qinglei Li

Shengguang Sang

Xing Dai

Zhuo Sun

Cui Wang

Guofang Sun

Qinglin Qin

Zhousheng Zhang

Tandong Zheng

Zhizheng Zhan

An application of hyaluronic acid in preparing medicines for preventing or treating ferroptosis-related diseases is provided, and an application of hyaluronic acid or salts of hyaluronic acid or derivatives of hyaluronic acid in preparing medicines for inhibiting ferroptosis is also provided. According to the present application, the anti-ferroptosis function of hyaluronic acid is disclosed. The hyaluronic acid is the first natural extracellular matrix material with anti-ferroptosis function found at present. The hyaluronic acid is one of the components of natural extracellular matrix and exists in large quantities in human body and is also a widely used material in clinic.

Application of hyaluronic acid in preparing medicines for preventing or treating ferroptosis-related diseases

A fusion imaging gene and lentiviral expression plasmid, lentivirus and cell, and preparation methods and applications thereof are provided. The fusion imaging gene includes bioluminescence imaging gene, fluorescent protein gene and calcium imaging gene. The three genes are linked by linkers. The fusion gene is inserted into a modified lentiviral expression plasmid to obtain lentivirus particles carrying the fusion imaging gene.

Fusion imaging gene and lentiviral expression plasmid, lentivirus, cell, preparation methods and applications thereof

A method and an apparatus for recognizing a key identifier in a video, a device and a storage medium are disclosed. The method includes: extracting a plurality of key frames from the video; generating a mask of the key identifier by using a difference between the plurality of key frames; determining, in video frames of the video, a key identifier area image by using the mask; and recognizing the key identifier area image to obtain a key identifier category included in the video.

Method and apparatus for recognizing key identifier in video, device and storage medium

This disclosure discloses a method and apparatus for generating a machine learning model. An embodiment of the method comprises: generating model parameter combinations, and generating machine learning models respectively corresponding to the model parameter combinations; dividing preset machine learning data into training data and validation data; training the machine learning models in parallel respectively based on the training data; validating a learning accuracy of the trained machine learning models respectively based on the validation data to obtain validation scores; determining an optimal model parameter combination corresponding to a machine learning model to be generated based on the validation scores, and generating a machine learning model corresponding to the optimal model parameter combination, thereby realizing training and validation of the machine learning models respectively corresponding to the model parameter combinations in parallel, improving the whole parameter optimization process, and rapidly generating a desired machine learning model.

Method and apparatus for generating machine learning model by using distributed computing framework

The present disclosure discloses a big data based cross-domain recommendation method and apparatus. Correlation between domains and correlation between user behavior characteristics are obtained by connection and cross analysis of a user's online input and offline behaviors in different domains, and content is recommended to the user according to the established correlation. The technical solution of the present disclosure is applied to the precise consumer brand recommendation to users and the precise positioning of potential consumer brand customers in the Internet+retail area. The technical solution can solve a series of problems, such as cross-drainage of users in multiple domains, precise marketing and precise positioning of potential customers, and the effect is very obvious. From the offline simulation test and online real consumption test, the brand recommendation and user positioning accuracy is largely improved, while the GMV of the offline retail is largely improved.

Big data based cross-domain recommendation method and apparatus

A turnover device, a substrate cell-assembling apparatus and a substrate cell-assembling method are provided. The turnover device comprises: a fixed support and a turnover platform connected with the fixed support by a first rotary shaft, the turnover platform having a first suction surface and a second suction surface which are oppositely arranged and are configured to suction a substrate; a second rotary shaft and a third rotary shaft, configured to respectively drive the first suction surface and the second suction surface to rotate in an in-plane direction, axial directions of the second rotary shaft and the third rotary shaft being basically perpendicular to that of the first rotary shaft. The turnover platform is configured to turn over the first suction surface and the second suction surface by the first rotary shaft.

Turnover device, substrate cell-assembling apparatus and substrate cell-assembling method

A front-lit detector includes a collimator, an X-ray to visible light converter configured to convert X-rays to visible light after the X-rays pass through the collimator to irradiate the X-ray to visible light converter, a visible light to analog signal converter configured to cover the visible light into analog signals, a substrate on which the visible light to analog signal converter is placed, and an A/D converter configured to convert the analog signals into digital signals.

Method for placing A/D converter, front-lit detector and CT apparatus

Growing community of inventors

Beijing, China

Zhiqiang Liu