Zhejiang Sukean Pharmaceutical Co., Ltd.

Zhejiang University

Alibaba Group Holding Limited

Hangzhou Calibra Diagnostics Co., Ltd.

Hangzhou Dian Medical Inspection Center Co., Ltd.

Molar Intelligence (hangzhou) Co., Ltd.

Chao Zhang

Yan Su

Pintong Huang

Yajing Liu

Huafen Liu

Yi Yang

Bing Xu

Wei Tang

Jun Zou

Junhui Zhang

Huaizhi Zong

Ziqing Kong

Rongchang Chen

Danghui Wang

Qunshu Lin

Yuning Zhu

Zijian Zhao

Xinjun Wu

Minghao Liu

Shigang Qi

Qijun Shao

Haolong Peng

Xiaolong Zhang

Yiming Yue

A set of serum metabolic biomarkers and detection kit for detecting drug-resistant tuberculosis are provided. The set of the serum metabolic biomarkers includes 17 serum metabolic biomarkers. The 17 serum metabolic biomarkers are verified to be associated with tuberculosis based on the level changes of these biomarkers. The 17 metabolites includes taurine, homocysteine, uric acid, ascorbic acid, suberylglycine, uridine, dopamine 4-sulfate, inosinic acid, glyceraldehyde phosphate, [3-methoxy-4-(phosphoryl)phenyl]carbonyl sulfonic acid, nuclomedone, n4-cyclopropyl-6-(2,3-dichlorophenyl)-1,2,3,4-tetrahydropyrimidine-2,4-diimine, 1-[2-chlorine-2-(2,4-dichlorophenyl)ethenyl]-1,2,4-triazole, tetrachloro-phthalic anhydride, malotilate, fulvic acid, and L-neopterin. The serum metabolic biomarkers and detection kit for detecting drug-resistant tuberculosis can assist doctors in accurately diagnosing the disease, which is of great significance for the diagnosis and mass screening for drug-resistant tuberculosis.

Serum metabolic biomarkers and kit for detecting drug-resistant tuberculosis

A set of serum metabolic biomarkers and detection kit for detecting tuberculosis are provided. The set of the serum metabolic biomarkers includes 17 serum metabolic biomarkers. The 17 serum metabolic biomarkers comprising D-Leucic acid, Leucinic acid, L-Cystine, MG(0:0/14:0/0:0), S-Lactoylglutathione, Octacosanoic acid, Cer(d18:1/12:0), Raffinose, LysoPC(20:1(11Z)/0:0), LysoPC(22:4(7Z,10Z,13Z,16Z)/0:0), PC(18:1(9Z)e/2:0), Torvoside G(TG(15:0/15:0/15:0)), CE(16:1(9Z)), all-trans-Heptaprenyl diphosphate, PC(15:0/16:0), NADP, TG(20:0/20:0/20:1(11Z)). The 17 serum metabolic biomarkers are verified to be associated with tuberculosis based on the level changes of these biomarkers. The tuberculosis detection model based on the levels of the 17 metabolic biomarkers can achieve an area under the ROC curve of 99.5%, sensitivity of 98.2%, and specificity of 95.8% in detecting tuberculosis. The serum metabolic biomarkers and detection kit for detecting tuberculosis can assist doctors in accurately diagnosing the disease, which is of great significance for the diagnosis and mass screening for tuberculosis.

Serum metabolic biomarkers for detecting tuberculosis and tuberculosis detection kit

A tuberculosis detection kit includes diagnostic reagents for 17 serum metabolites of patients with tuberculosis, the detecting reagent being used for quantitative detection of the 17 serum metabolites of the patients with tuberculosis, the 17 serum metabolites comprising D-Leucic acid, Leucinic acid, L-Cystine, MG(0:0/14:0/0:0), S-Lactoylglutathione, Octacosanoic acid, Cer(d18:1/12:0), Raffinose, LysoPC(20:1(11Z)/0:0), LysoPC(22:4(7Z,10Z,13Z,16Z)/0:0), PC(18:1(9Z)e/2:0), Torvoside G(TG(15:0/15:0/15:0)), CE(16:1(9Z)), all-trans-Heptaprenyl diphosphate, PC(15:0/16:0), NADP, TG(20:0/20:0/20:1(11Z)).

Tuberculosis detection kit

Virtual machine hot migration method, device, electronic device, and computer storage medium are provided. The method includes: switching a first page table used for indicating a mapping relationship between a memory address of a virtual guest and a physical address of a host machine in a first physical machine to a second page table according to a switching trigger instruction; and performing a hot migration of the virtual guest from the first physical machine to a second physical machine according to the second page table, wherein a size of a physical memory page indicated by a last-level page table of the second page table satisfies a defined size, and a size of a physical memory page indicated by a last-level page table of the first page table is greater than the defined size. The embodiments of the present disclosure improve the performance of the virtual guest and its hot migration.

Virtual machine hot migration method, apparatus, electronic device, and computer storage medium

The present invention discloses a pavement element annotation method for point cloud data with fusion of height, which comprises the following steps: constructing all single-frame point clouds into a joint point cloud in a global coordinate system based on the pose of each frame of single-frame point cloud; removing dynamic objects in the joint point cloud to obtain a static joint point cloud; transforming the static joint point cloud into an overhead image; pre-annotating the pavement elements in an overhead image by using the pavement element pre-annotation model; modifying the pre-annotated result to obtain an overhead image annotation; based on a ball query algorithm and a ground point algorithm, establishing a transformational relation between the pixels of the overhead image and the points of the static joint point cloud; transforming the overhead image annotation into a static joint point cloud annotation based on the transformational relation.

Pavement element annotation method for point cloud data with fusion of height, device for constructing and pre-annotation point cloud data with fusion of height, electronic device and computer-readable storage medium

A kit for detecting drug-resistant tuberculosis, includes: detection reagents, configured to perform quantitative detection on 17 serum metabolites of patients with tuberculosis, the 17 serum metabolites comprising: taurine, homocysteine, uric acid, ascorbic acid, suberylglycine, uridine, dopamine 4-sulfate, inosinic acid, glyceraldehyde phosphate, [3-methoxy-4-(phosphoryl)phenyl]carbonyl sulfonic acid, nuclomedone, n4-cyclopropyl-6-(2,3-dichlorophenyl)-1,2,3,4-tetrahydropyrimidine-tetrachlorophthalic anhydride, malotilate, fulvic acid, and L-neopterin.

Kit for detecting drug-resistant tuberculosis

A method and an apparatus for 4D road scene annotation based on time series data includes: obtaining point cloud data and multi-view 2D image data of a same road scene at a same time series, as well as a rotation matrix R and a translation vector t obtained through sensors; merging all the point cloud data into a combined point cloud using the rotation matrix R and the translation vector t; performing dynamic and static object annotation and lane line annotation on the combined point cloud in the 4D road scene; and mapping annotation information in the 4D road scene to all the 2D image data at the time series based on camera parameter information, to obtain annotation information on 2D images. The method fully utilizes time series information, avoiding the loss of important information.

Method and apparatus for 4D road scene annotation based on time series data, and electronic device

The present application discloses a testing device and a testing method for multiple piston assembly of a cam-lobe hydraulic motor. N cylinder blocks are installed on the cylinder block base, and piston assemblies to be tested are installed on the cylinder blocks. A driving plate is installed on the cylinder block base, and N uniformly-distributed driving plate clamping grooves are formed in the driving plate. A cylinder block protrusion is arranged at the bottom of each cylinder block, and the cylinder block protrusions are clamped in the driving plate clamping grooves. When the driving plate is rotated, the N driving plate clamping grooves drive the N cylinder blocks to rotate synchronously through the cylinder block protrusions, to synchronously change the pressure angle between a driving shaft and each piston assembly.

Testing device for multiple piston assembly of cam-lobe hydraulic motor and testing method

A soft electrohydrodynamic actuator includes an actuating unit. The actuating unit includes a flexible pouch, a rod electrode, a dielectric fluid, an enameled wire, a hose and a planar flexible electrode. The inner cavity of the flexible pouch is provided with the rod electrode and filled with the dielectric fluid. The hose is hermetically connected to a side of the flexible pouch. The enameled wire is hermetically sleeved in the hose. One end of the enameled wire extends into the inner cavity of the flexible pouch through the hose and is electrically connected to an end of the rod electrode. The other end of the enameled wire is connected to a high-voltage positive electrode. The outer surface of the flexible pouch is coated with a layer of conductive soft material as the planar flexible electrode, or a water environment around the flexible pouch is used as the planar flexible electrode.

Soft electrohydrodynamic actuator

The present invention relates to a system for predicting gestational diabetes mellitus (GDM) of pregnant individuals, wherein the system comprises an operation module, and the operation model comprises a support vector regression model, and the system is used to predict the plasma glucose levels at 1 hour and/or 2 hours of oral glucose tolerance test (OGTT) by using a support vector regression developed prediction model generated by substituting the concentration of the biomarkers in fasting blood samples of pregnant individuals. The present invention provides biomarkers and biomarker-based diagnostic models for differential diagnosis of gestational diabetes mellitus (GDM), which can be applied to diagnosis or prediction of GDM in early stage and are of great significance to the prevention or treatment of GDM.

Method and system for rapid prediction offast blood glucose level in pregnant subjects

Growing community of inventors

Hangzhou, China

Chao Zhang