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51.发明公开公开(公告)号：US20240041945A1
公开(公告)日：2024-02-08
申请号：US18265400
申请日：2020-11-05
Inventor： Chenli Liu , Zuowei Wang , Fangqian Sheng , Zhengyang Zeng , Weiqi Lu , Xuan Guo
Abstract: The invention relates to a method for constructing an obligate anaerobic Salmonella strain, the obligate anaerobic Salmonella strain constructed by using said method, and the use thereof in tumor therapy.
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52.发明公开公开(公告)号：US20230298189A1
公开(公告)日：2023-09-21
申请号：US17927692
申请日：2020-11-17
CPC classification number: G06T7/521 , G06T7/80 , G06V10/60 , G01B11/254
Abstract: The present application is applicable to the technical field of computer vision, and provides a method for reconstructing a three-dimensional object combining structured light and photometry and a terminal device, wherein the method comprises: acquiring N first images, wherein each first image is obtained by shooting after a coded pattern having a coding stripe sequence is projected to a three-dimensional object, and N is a positive integer; determining structured light depth information of the three-dimensional object based on the N first images; acquiring M second images, wherein the M second images are obtained by shooting after P light sources are respectively projected to the three-dimensional object from different directions, and M and P are positive integers; determining photometric information of the three-dimensional object based on the M second images; and reconstructing the three-dimensional object based on the structured light depth information and the photometric information. Therefore, the structured light system and the photometric system are combined to reconstruct the three-dimensional object, and the precision of a three-dimensional reconstruction result of the three-dimensional object with complex surfaces is improved.
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公开(公告)号：US20230293914A1
公开(公告)日：2023-09-21
申请号：US18325982
申请日：2023-05-30
Inventor： Hairong ZHENG , Wei ZHOU , Long MENG , Lili NIU , Zhengrong LIN , Xiaowei HUANG , Junjie ZOU
CPC classification number: A61N7/00 , A61B8/54 , A61N2007/0026
Abstract: The present application provides an ultrasonic wake-up system. The system includes an ultrasonic imaging device, an ultrasound stimulation device, and an ultrasound stimulation effect evaluation device, and acquires an ultrasonic image of a target object through the ultrasonic imaging device, transmits an ultrasound to the target object based on the ultrasonic image through the ultrasound stimulation device, and adjusts the transmitted ultrasound required through the ultrasound stimulation effect evaluation device. Therefore, peripheral nerves are accurately stimulated, an uplink reticular wake-up system is activated, so as to wake up patients with disorders of consciousness.
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54.发明公开公开(公告)号：US20230270519A1
公开(公告)日：2023-08-31
申请号：US18313383
申请日：2023-05-08
Inventor： YINGJIE ZHU , GAOWEI CHEN , SHAOLEI JIANG
CPC classification number: A61B90/14 , A61B90/11 , A61B2503/40
Abstract: A miniature single-photon fluorescence microscope implantation device and implantation method are disclosed. The implantation device includes: a clamp base defining a clamp slot; a clamp block; and a groove defined in a bottom surface of the clamp slot. An end of the clamp block includes a first protrusion, and a bottom surface of the groove vertically defines a through receiving hole.
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公开(公告)号：US20220343638A1
公开(公告)日：2022-10-27
申请号：US17763513
申请日：2019-11-19
Inventor： Shuqiang WANG , Wen YU , Yanyan SHEN , Zhuo CHEN
Abstract: The present application is suitable for use in the technical field of computers, and provides a smart diagnosis assistance method and terminal based on medical images, comprising: acquiring a medical image to be classified; pre-processing the medical image to be classified to obtain a pre-processed image; and inputting the pre-processed image into a trained classification model for classification processing to obtain a classification type corresponding to the pre-processed image, the classification model comprising tensorized network layers and a second-order pooling module. As the trained classification model comprises tensor decomposed network layers and a second-order pooling module, when processing images on the basis of the classification model, more discriminative features related to pathologies can be extracted, increasing the accuracy of medical image classification.
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Patent Agency Ranking
公开(公告)号：US20220313909A1
公开(公告)日：2022-10-06
申请号：US17312950
申请日：2020-11-13
Inventor： Zedong NIE , Jingzhen LI , Yuhang LIU
Abstract: A closed-loop artificial pancreas system based on a wearable monitoring method is provided. The system includes: a wearable blood glucose monitoring submodule, configured to obtain a blood glucose sensing signal in a noninvasive manner by utilizing a wearable device; a diet and exercise monitoring submodule, configured to obtain diet monitoring data and exercise monitoring data which can cause variations of blood glucose concentration of a subject to be tested; a calculation control submodule, configured to obtain information related to insulin infusion by utilizing a trained deep learning model, the diet monitoring data, and the exercise monitoring data; an insulin infusion submodule, configured to automatically implement insulin infusion; and an effect assessment module, configured to assess an insulin infusion effect, and to feed an assessment result back to the calculation control submodule, such that the calculation control submodule determines whether to update the information related to insulin infusion.
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公开(公告)号：US20220313172A1
公开(公告)日：2022-10-06
申请号：US17312946
申请日：2020-11-13
Inventor： Zedong NIE , Jingzhen LI , Yuhang LIU
Abstract: A prediabetes detection system and method based on combination of electrocardiogram and electroencephalogram information are provided. The system includes: a signal obtaining module, configured to obtain an electrocardiogram signal and an electroencephalogram signal of a user in a noninvasive manner; a feature extraction module, configured to: perform dimension reduction processing on a combined feature set composed of an electrocardiogram feature and an electroencephalogram feature to obtain a plurality of dimension-reduced combined feature sets, and select an electrocardiogram feature and an electroencephalogram feature meeting a preset criteria of correlation by analyzing a correlation between the plurality of dimension-reduced combined feature sets and a blood glucose concentration value to constitute an optimized combined feature set; and a multimodal fusion module, configured to input the optimized combined feature set into a plurality of trained neural network models, to obtain a detection result by fusing results of the plurality of neural networks.
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公开(公告)号：US11459260B2
公开(公告)日：2022-10-04
申请号：US17057113
申请日：2019-06-17
Applicant: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences
Inventor： Fengming Zhang , Chuangjian Su , Zhiyu Chen , Yaxin Ding , Shunquan Chen
IPC: C02F11/08 , C02F1/38 , C02F101/10 , C02F101/12 , C02F101/16 , C02F101/30 , C02F103/34
Abstract: The disclosure discloses a system for treating high-salt high-organic wastewater and recovering energy, the system includes a cold wall-type reactor (6), a multi-level cyclone separator (16, 19, and 25), a waste liquid feeding system, an oxidant feeding system and a fuel feeding system; The cold wall-type reactor designed by the disclosure is formed by inner and outer double-housing structures, a cooling medium is fed into a gap between the inner housing and the outer housing of the reactor, the fluid on an inner wall surface of the inner housing of the reactor is cooled below a supercritical temperature of the water by using countercurrent heat exchange, blockage of the inorganic salts is effectively prevented. The disclosure is capable of realizing gradient utilization of the reaction heat of the high-salt high-organic wastewater supercritical water oxidation system, and improving a system energy recovery utilization ratio in the greatest degree.
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公开(公告)号：US11455189B2
公开(公告)日：2022-09-27
申请号：US17055606
申请日：2019-12-09
Abstract: The application provides a task scheduling simulation system, comprising a data preprocessing subsystem and a task scheduling subsystem. The data preprocessing subsystem filters the input cloud computing log information for abnormal data and extracts the running time of each task. The task scheduling subsystem enqueues or dequeues tasks from the batch task and real-time task running queues of each node, and keeps the tasks currently running in the cluster consistent with the actual production environment, and updates the number of CPU cores and the used and available memory capacity of each node according to resource requirement of each task. The mixed scheduling simulation of batch tasks and online tasks can be realized, and the resource simulation of the heterogeneous CPU core number and memory capacity of the cluster nodes can be simulated.
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公开(公告)号：US20220249017A1
公开(公告)日：2022-08-11
申请号：US17729871
申请日：2022-04-26
Inventor： Huihui ZHOU , Zheng MA , Jin XIE
Abstract: The present invention describes a system and method for selecting and optimizing a sound stimulus using a deep neural network to regulate and improve human sleep quality. The deep neural network has the capability of characterizing processing of human brain cortical neurons for external stimulus (images, sounds, etc.) information. By inputting massive sound stimuli into the deep neural network, a sound mode which causes model-estimated sleep electroencephalograph to be optimal can be found, the sound mode is applied to a real human body, and the intensity of corresponding sleep waves of the human body in different sleep stages is enhanced through closed-loop optimization so as to realize the purpose of regulating sleep. The present invention mainly aims at solving the technical problem of how to select and optimize, when a sound stimulus means (music, speech, natural sounds, white/colored noise, etc.) is used to assist in human sleep.
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