Microsoft Technology Licensing, LLC

Chinese Academy of Sciences

Facebook, Inc.

Schneider Electric Industries Sas

Shanghai Longyao Biotechnology Inc., Ltd.

Shanghai Hiuv New Materials Co., Ltd.

Shanghai Inter-Cooperation Co., Ltd.

Siemens Shanghai Medical Equipment Ltd.

Min Li

Mengyan Lu

Ying Chu Wang

Fajun Nan

Yangming Zhang

Haiyan Xu

Haining Hu

Zhaobing Gao

Sheng Liu

Xin Wang

Gang Wang

Li Wang

Ruofei Zhang

Fei Chen

Jiang Chen

Xiaoping Pi

Huanan Liu

Liang Xiong

Xuanming Yang

Yangxin Fu

Muhammad Adnan Alam

Zhanwei Tu

Shengqin Ye

Shilin Ding

Hongwei Wu

Bingchang Wu

Dabin Wu

Ying Suresh Wang

Xiangming Zeng

Xiaoqiang Lei

Haibo Huang

Longfei Hao

Jing Guo

Zongqian Shi

Lamar Damata

(Jason) Jingcun Wang

Xiaozheng Chen

Pingzheng Zhou

Yin Jie Xiang

Xiaoliang Shi

A DC circuit breaker device is provided, including: a circuit breaker module including a first circuit breaker and a second circuit breaker connected in series with the first circuit breaker; a commutation module connected in parallel with the first circuit breaker and including a commutation capacitor, a commutation switch module and a commutation inductor connected in series; the commutation switch module including a commutation switch positive branch and a commutation switch negative branch; and a control module coupled to the circuit breaker module and the commutation module, and configured to control the switching on/off of the commutation switch positive branch and the commutation switch negative branch after the first circuit breaker is re-closed. A method of controlling a DC circuit breaker is also provided.

Direct current circuit breaker device and control method therefor

A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.

Technical document issues scanner

Handle for lawn fork

The present invention provides a chimeric antigen receptor having a structure of scFv(X)-(Y)CD 3zeta-MN.X comprises a tumor targeting antibody or a ligand or receptor capable of specifically binding to a tumor. Y is an intracellular region of a costimulatory receptor selected from ICOS, CD28, CD27, HVEM, LIGHT, CD40L, 4-1BB, OX40, DR3, GITR, CD30, SLAM, CD2, and CD226; M is an intracellular region of a gamma chain family cytokine receptor, the cytokine receptor being selected from IL2Ra, IL2Rb, IL4Ra, IL7Ra, IL9Ra, IL15Ra, and IL21Ra. N is an intracellular region of IL2Rg. The present invention further provides a CAR-T cell constructed from the recombinant expression vector of said chimeric antigen receptor, a preparation method therefor and the use thereof. The CAR-T cell of the present invention significantly improves tumor killing capacity and amplification capacity.

Chimeric antigen receptor comprising third signal receptor and use thereof

A coding information extractor disclosed herein uses machine learning approach to extract coding information from documents. An implementation of the coding information extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, determining one or more features of the plurality of tokens using term frequency (TF), inverse document frequency (IDF), and code type similarity features, and determining field type, field name, and field value of the one or more of the tokens using named entity recognition (NER).

Coding information extractor

A date extractor disclosed herein allows extracting dates and date ranges from documents. An implementation of the date extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, assigning labels to token using named entity recognition machine to generate a named entity vector, extracting dates from the named entity vector by comparing each of the named entities of the named entity vector to predetermined patterns of dates to generate a date vector, generating a plurality of date pairs from the date vector, and extracting date-ranges by comparing the plurality of date pairs to predetermined patterns of date ranges.

Date and date-range extractor

For a content item with unknown tasks performed by a viewing user on an online system, the online system receives a plurality of content items associated with a viewing user. The online system derives a feature vector for each content item. The online system predicts a likelihood of interacting with each content item using a prediction model associated with a plurality of tasks. The prediction model comprises a plurality of shared layers and a plurality of separate layers. The plurality of shared layers are configured to extract common features that are shared across the plurality of tasks. Each separate layer is configured to predict likelihood of the viewing user performing a task associated with the separate layer based on the common features. The online system scores each content item based on predicted likelihood of each task. The online system ranks the plurality of content items based on the scoring.

Multi-task neutral network for feed ranking

The present invention provides a compound represented by general formula I or a pharmaceutical acceptable salt thereof, the preparation method therefor and the use thereof in preparing a medicine for treating a neurological disease, such as epilepsy, convulsion, neuropathic pain, acute ischemic stroke, and a neurodegenerative disease. The compound according to present invention has a better absorption in brain tissue when compared with RTG. In addition, the compound provided by present invention has not only a greatly enhanced efficacy, but also a neurotoxicity greatly lower than that of RTG, and thus possesses a wider safety window. 

KCNQ potassium channel agonist, and preparation method therefor and use thereof

KCNQ potassium channel agonists, method of preparation and method of use thereof

Radiation pre-crosslinked polyolefin film and preparation method, and related encapsulation method and encapsulation assembly are provided. The radiation pre-crosslinked polyolefin film for encapsulation is prepared by preparing a film after mixing polyolefin raw materials together; using a radiation energy source to irradiate the film, wherein the radiation energy source directly stimulate a crosslinking reaction of the polyolefin raw materials; adjusting an irradiation dosage of the radiation energy source, such that a crosslinking degree of a pre-crosslinked portion of the film reaches about 3 % to about 95%; and adjusting the irradiation dosage of the radiation energy source, such that the pre-crosslinked portion of the film has a thickness of about 5% to about 100% by a total thickness of the film, wherein: that the pre-crosslinked portion has the thickness of about 100% by the total thickness of the film means the film is all pre-crosslinked.

Radiation pre-crosslinked polyolefin film and preparation method, and related encapsulation method and encapsulation assembly

Functionality is described herein for analyzing an input linguistic item, such as a query, in a series of stages. The linguistic item includes one or more candidate items. In a first stage, a brand classifier component determines whether the linguistic item specifies at least one brand, to provide a classifier output result. In a second stage, a tagging component generates a set of tags for at least some of the candidate items in the linguistic item, based, in part, on the classifier output result, to generate a tagging output result. An action-taking component then generates at least one result item based on the tagging output result. Functionality is also described herein for producing the brand classifier component and the tagging component using machine-learning training techniques. The training techniques may include provisions to address the later appearance of new brands that do not appear in a brand dictionary.

Latency-efficient multi-stage tagging mechanism

The present invention provides compounds having the structure represented by general formula I, pharmaceutically acceptable salts thereofagonist, preparation methods therefor and a use thereof in the preparation of a medicine for the treatment of nervous system diseases. The compounds or pharmaceutical compositions thereof can be used as the KCNQ potassium channel agonist for treating nervous system diseases. Compared to retigabine, a compound in the prior art, the compound of the present invention have the same or better therapeutic effect, are easier for synthesis and storage, and less prone to oxidate deterioration. 

Compound as KCNQ potassium channel agonist, preparation method therefor and use thereof

Engineering team activities are facilitated through social networked collaboration driven by engineering project events. An engineering team member profile on a private network contains an identification of the team member including an offline name, direct links to profiles of other team members, automatically generated news items of team member engineering activities, and a summarized view of engineering project data. A news generator automatically collects engineering events and includes corresponding event descriptions in the profile, for wiki article updates, software bug reports, software modifications, project schedule changes, and other engineering events. Some news items automatically include a suggested engineering activity as a follow up for the team member to perform. For example, the team member may click a news item link to view an updated product specification, create a product test, view detailed test results, or create a virtual machine session.

Engineering project event-driven social networked collaboration

Growing community of inventors

Shanghai, China

Min Li