Purdue Research Foundation

Institute of Pharmacology and Toxicology Academy of Military Medical Sciences Pla China

Beijing Xiaomi Mobile Software Co., Ltd.

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

Institute of Pharmacology

Toxicology Academy of Military Medical Sciences P.l.a., China

Academy of Military Medical Sciences Institute of Pharmacology and Toxicology

Yunfeng Li

Zygmunt Pizlo

Nan Zhao

Youzhi Zhang

Tadamasa Sawada

Liuhong Yun

Rui Xue

Rifang Yang

Hongxia Chen

Yongzhen Li

Juanjuan Qin

Ming Yang

Peng Li

Chao He

Cheng Zhang

Yanping Zhang

Bohua Zhong

Xinhua He

Rusheng Zhao

Yongchao Liu

Qingchang Hao

Chenxi Sun

Yimin Zhao

Zhiping Zhou

Li Yuan

Zhenzhen Wang

Meiying Li

Robert M Steinman

Xinhui Luan

Zhipu Luo

Yutao Gai

Zhongyao Feng

Zengliang Jin

Xiaodan Xu

Jiazhi Yao

Zengling Jin

A method and device for training an acoustic model are provided. The method comprises determining a plurality of tasks for training an acoustic model, obtaining resource occupancies of nodes participating in the training of the acoustic model, and distributing the tasks to the nodes according to the resource occupancies of the nodes and complexities of the tasks. By using computational resources distributed at multiple nodes, tasks for training an acoustic model are performed in parallel in a distributed manner, so as to improve training efficiency.

Method and device for training an acoustic model

Water purifier

Systems and methods for processing a pair of 2-D images are described. In one example, a stereoscopic set of images is converted into a collection of regions that represent individual 3-D objects in the pair of images. In one embodiment, the system recovers the 3-D point P for each point p that appears in both images. It estimates the 3-D orientation of the floor plane, and the image capture planes and their height from the floor. The system then identifies the collection B of points P that do not represent points on the floor and generates a projection C of B onto a plane parallel to the floor. It blurs the projection C and identifies peaks in the blurred image, then fits symmetric figures to the points in C around the identified peaks. The system projects the 3-D figures associated with the symmetric figures back onto the 2-D images.

Figure ground organization of 3-D scenes

Figure-ground organization of 3-D scenes

Disclosed are 2-arylimidazo[1,2-a]pyridine-3-acetamide derivatives represented by formula I, their tautomer, racemate or optical isomer, their pharmaceutically acceptable salt, or their solvates, wherein R, R, Rand Rare defined as in the specification. Preparation methods of said compounds and use of said compounds in treating and/or preventing central nervous system disease associated with TSPO functional disorder 

2-aryl imidazo[1,2-a]pyridine-3-acetamide derivatives, preparation methods and uses thereof

Provided are N-[(4-hydroxypiperidin-4-yl)methyl]pyridin-2(1H)-one derivatives represented by formula I, stereoisomers, pharmaceutically acceptable salts or solvates thereof.  The above compounds have the dual activities of 5-hydroxytryptamine 1A receptor ligand and selective serotonin reuptake inhibitor. The preparation methods of the above compounds, the uses of these compounds for the prevention or treatment of nervous system diseases related to 5-hydroxytryptamine system dysfunction and the pharmaceutical compositions containing these compounds are also provided.

1-[(4-hydroxypiperidin-4-yl)methyl]pyridin-2(1H)-one derivatives, preparation methods and uses thereof

A system processes 2D images of 2D or 3D objects, creating a model of the object that is consistent with the image and as veridical as the perception of the 2D image by humans. Vertices of the object that are hidden in the image are recovered by using planarity and symmetry constraints. The 3D shape is recovered by maximizing 3D compactness of the recovered object and minimizing its surface area. In some embodiments, these two criteria are weighted by using the geometric mean.

Reconstruction of shapes of near symmetric and asymmetric objects

The present invention relates to a new amine compound or a pharmaceutically acceptable salt thereof, wherein the definitions of X, R, Rand n are given in the description, to a pharmaceutical composition containing the compound as active ingredient, and to use of the amine compound or its pharmaceutically acceptable salt for the manufacture of an anti-depressent drug. 

Amine compounds and medical uses thereof

The present disclosure describes a system and method for transforming a two-dimensional image of an object into a three-dimensional representation, or model, that recreates the three-dimensional contour of the object. In one example, three pairs of symmetric points establish an initial relationship between the original image and a virtual image, then additional pairs of symmetric points in the original image are reconstructed. In each pair, a visible point and an occluded point are mapped into 3-space with a single free variable characterizing the mapping for all pairs. A value for the free variable is then selected to maximize compactness of the model, where compactness is defined as a function of the model's volume and its surface area. 'Noise' correction derives from enforcing symmetry and selecting best-fitting polyhedra for the model. Alternative embodiments extend this to additional polyhedra, add image segmentation, use perspective, and generalize to asymmetric polyhedra and non-polyhedral objects.

Reconstruction of shapes of objects from images

This invention relates to quercetin derivative, its preparation, and a pharmaceutical combination, as well as their medical uses for the prevention or treatment of diseases related to 5HTreceptor or neuron cell damages, including Alzeheimer's disease, drug or alcohol dependence, sleep disorders or panic state; and for delaying senility, improving learning and memory, preventing and treatment of neuron cell damages caused by various kinds of cerebral damages.

Quercetin derivatives and their medical usages

Growing community of inventors

Beijing, China

Yunfeng Li