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Epidemiological features and temporal trends of the co-infection between HIV and tuberculosis, 1990-2021: findings from the Global Burden of Disease Study 2021

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Infectious Diseases of Poverty 2024年第4期13卷 79-94页

作者： Shun-Xian Zhang Ji-Chun Wang Jian Yang Shan Lv Lei Duan Yan Lu Li-Guang Tian Mu-Xin Chen Qin Liu Fan-Na Wei Xin-Yu Feng Guo-Bing Yang Yong-Jun Li Yu Wang Xiao-Jie Hu Ming Yang Zhen-Hui Lu Shao-Yan Zhang Shi-Zhu Li Jin-Xin Zheng Longhua Hospital Shanghai University of Traditional Chinese MedicineShanghai 200032China National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention(Chinese Center for Tropical Diseases Research) NHC Key Laboratory of Parasite and Vector BiologyWHO Collaborating Centre for Tropical DiseasesNational Center for International Research on Tropical DiseasesNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious DiseasesShanghai 200025China Department of Science and Technology Chinese Center for Disease Control and PreventionNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious DiseasesBeIjing 102206China School of Global Health Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of MedicineShanghai 200025China Gansu Provincial Center for Disease Control and Prevention Lanzhou 730000China

Background The co-infection of human immunodeficiency virus(HIV)/acquired immune deficiency syndrome(AIDS)and tuberculosis(TB)poses a significant clinical challenge and is a major global public health *** study aims to elucidate the disease burden of HIV-TB co-infection in global,regions and countries,providing critical informa-tion for policy decisions to curb the HIV-TB *** The ecological time-series study used data from the Global Burden of Disease(GBD)Study *** data encompass the numbers of incidence,prevalence,mortality,and disability-adjusted life year(DALY),as well as age-standardized incidence rate(ASIR),prevalence rate(ASPR),mortality rate(ASMR),and DALY rate for HIV-infected drug-susceptible tuberculosis(HIV-DS-TB),HIV-infected multidrug-resistant tuberculosis(HIV-MDR-TB),and HIV-infected extensively drug-resistant tuberculosis(HIV-XDR-TB)from 1990 to *** 1990 to *** estimated annual percentage change(EAPC)of rates,with 95%confidence intervals(C/s),was *** In 2021,the global ASIR for HIV-DS-TB was 11.59 per 100,000 population(95%UI:0.37-13.05 per 100,000 population),0.55 per 100,000 population(95%UI:0.38-0.81 per 100,000 population),for HIV-MDR-TB,and 0.02 per 100,000 population(95%UI:0.01-0.03 per 100,000 population)for *** EAPC for the ASIR of HIV-MDR-TB and HIV-XDR-TB from 1990 to 2021 were 4.71(95%CI:1.92-7.59)and 13.63(95%CI:9.44-18.01),*** global ASMR for HIV-DS-TB was 2.22 per 100,000 population(95%UI:1.73-2.74 per 100,000 population),0.21 per 100,000 population(95%UI:0.09-0.39 per 100,000 population)for HIV-MDR-TB,and 0.01 per 100,000 population(95%UI:0.00-0.03 per 100,000 population)for HIV-XDR-TB in *** EAPC for the ASMR of HIV-MDR-TB and HIV-XDR-TB from 1990 to 2021 were 4.78(95%CI:1.32-8.32)and 10.00(95%Cl:6.09-14.05),*** The findings indicate that enhancing diagnostic and treatment strategies,strengthening healthcare infrastructure,increasing a

关键词： Co-infection Tuberculosis HIV/AIDS Epidemiology Global burden of disease 2021

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Multiple Uncertainty Rejection-Based Power Lifting Adaptive Fixed-Time Tracking control

Multiple Uncertainty Rejection-Based Power Lifting Adaptive ...

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Data Driven control and Learning Systems (DDCLS)

作者： Yang Liu Hongru Ren Yu Hui Hongyi Li College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao P. R. China School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This work investigates an adaptive fixed-time tracking control issue of nonlinear systems with the multiple uncertainty. A practically fixed-time lemma is established, and the singularity problem of fixed-time tracking control is handled by exploiting the power lifting technique. Moreover, a nonlinear fixed-time tracking scheme is proposed under the framework of the backstepping, and a simple design process is presented, which can simultaneously tackle uncertain parameters and disturbances. Finally, the numerical simulation is to explain the effectiveness of the proposed method.

关键词： Learning systems Uncertainty Backstepping Simulation control systems Numerical simulation Nonlinear systems

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Distance-based Multiple Non-cooperative Ground Target Encirclement for Complex Environments

arXiv

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arXiv 2024年

作者： Liu, Fen Yuan, Shenghai Cao, Kun Meng, Wei Xie, Lihua School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai200000 China Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control School of Automation Guangdong University of Technology Guangzhou510006 China

This paper proposes a comprehensive strategy for complex multi-target-multi-drone encirclement in an obstacle-rich and GPS-denied environment, motivated by practical scenarios such as pursuing vehicles or humans in urban canyons. The drones have omnidirectional range sensors that can robustly detect ground targets and obtain noisy relative distances. After each drone task is assigned, a novel distance-based target state estimator (DTSE) is proposed by estimating the measurement output noise variance and utilizing the Kalman filter. By integrating anti-synchronization techniques and pseudo-force functions, an acceleration controller enables two tasking drones to cooperatively encircle a target from opposing positions while navigating obstacles. The algorithm’s effectiveness for the discrete-time double-integrator system is established theoretically, particularly regarding observability. Moreover, the versatility of the algorithm is showcased in aerial-to-ground scenarios, supported by compelling simulation results. Experimental validation demonstrates the effectiveness of the proposed approach. © 2024, CC BY.

关键词： Drones

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Thermospheric densities derived from the precise ephemeris of Tiangong-1 spacecraft

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Journal of Beijing Institute of technology (English Edition) 2015年 24卷 48-54页

作者： Li, Cui-Lan Man, Hai-Jun Li, Xie Tang, Ge-Shi Liu, Jing Beijing Aerospace Control Center Beijing100094 China Science and Technology Laboratory on Space Flight Dynamics Beijing100094 China National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China University of Chinese Academy of Sciences Beijing100049 China

Thermospheric density are applied in many types of satellite orbit calculations, including orbit maneuver planning, catalogue maintenance, space objects collision avoidance, reentry prediction, as well as orbital debris active removal. For many satellite missions, the accuracy of density models therefore will exert significant influences on requirements for operations, tracking system, propellant consumption and so on. So it's a common question for satellite tracking and operating community. Thermospheric density derived from Tiangong-1 spacecraft orbit is researched due to accurate orbit prediction requirement. Firstly, a physical drag coefficients model of the complex spacecraft has been set up according to gas-surface interaction principle. It is capable of reflecting the space environment variation. Secondly, the thermospheric densities are derived with a high temporal resolution from precise orbit ephemeris data of Tiangong-1 spacecraft by using numerical integration, which is based on the drag perturbation equation of the semi-major axis of the orbit of LEO space objects which relates the change rate of the semi-major axis to the thermospheric density. Thirdly, Comparisons are made between derived densities and model densities, which validating the effectiveness of the derivation method. The results of this paper underlie the high-quality data source of thermosphere researching and empirical density model calibrating. © 2015 Beijing Institute of technology.

关键词： Satellites

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Polyp Segmentation Neural Network with Simple Encoding Structure and Reverse Attention Module

Polyp Segmentation Neural Network with Simple Encoding Struc...

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IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Jie Wang Zuoyong Li Haiping Xu Xuesong Cheng Shenghua Teng College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou China Fujian Key Laboratory of Medical Big Data Engineering Fujian Provincial Hospital Fuzhou China College of Mathematics and Data Science Minjiang University Fuzhou China

Colorectal cancer is a common malignancy. In colonoscopy images, computer-assisted polyp segmentation helps doctors diagnose and treat disorders more precisely. In recent years, some methods based on deep convolutional neural networks have made significant breakthroughs in this task. However, only a few algorithms explicitly consider the effect of light intensity on segmentation performance, which results in algorithms needing to be more robust for complex samples. This paper proposes a neural network combining a simple encoding structure with a reverse attention module. Specifically, the model uses HarDNet68 as the backbone network, adds a camouflage identification module (CIM) to enhance the capture of polyp details on the underlying features, and finally utilizes adaptive feature fusion with the reverse attention module (RAM). The proposed model effectively addresses the challenge of poor segmentation quality in colonoscopy images caused by inconsistent illumination. Extensive experiments on five datasets show that the proposed model performs well in polyp segmentation.

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Life control Based on Limited Incremental learning and WE-OSELM

Life Control Based on Limited Incremental learning and WE-OS...

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Computer, Vision and intelligent technology (ICCVIT), International Conference on

作者： Yudi Wen Jing Wang Ying Zhang Quality Control Department Beijing Aerospace Automatic Control Institute Beijing China Projects Executive Office Equipment Integrated Logistics Support Center China Academy of Launch Vehicle Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Beijing Aerospace Automatic Control Institute Peking University Beijing China

ISBN: (数字)9798331540043

ISBN: (纸本)9798331540050

This paper coordinates the differences between the connotations of remaining life control and reference life control, and adopts a data-driven life prediction method to carry out real-time differential life prediction under unknown failure mechanism conditions. Based on the research of WE-OSELM algorithm, this paper integrates the design of multi-step prediction method and proposes a remaining life prediction method and prediction model based on finite incremental learning and WE-OSELM. Firstly, in view of the fact that the number of hidden layer nodes affects the performance of the prediction algorithm, the finite incremental learning method is used to quickly screen the optimal number of hidden layer nodes within a limited range, and the IPW-OSELM algorithm training is quickly completed by integrating historical degradation data and online time series data. Then, the error data in the training process of the IPW-OSELM algorithm is used to train the error compensation algorithm. Finally, the failure threshold and multi-step prediction results are combined to determine the remaining life of the prediction object. Simulation comparison shows that the algorithm in this paper not only has a high conservative remaining life prediction ability, but also has the ability to accurately predict to a certain extent, and the results are highly credible.

关键词： Training Incremental learning Accuracy Time series analysis Focusing Failure analysis Error compensation Predictive models Prediction algorithms Real-time systems

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Leg hybrid rehabilitation based on hip-knee exoskeleton and ankle motion induced by FES

Leg hybrid rehabilitation based on hip-knee exoskeleton and ...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Xikai Tu Jian Huang Jiping He Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China School of Biological and Health Systems Engineering Arizona State University Tempe AZ USA School of Mechatronic Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9781509033652

To regain mobility, stroke patients need to receive repetitive and intensive therapy. Robot-assisted rehabilitation is an active area of research. Cheap robotic leg rehabilitation devices should be developed to meet the demands and assist most patients. A low cost hip-knee exoskeleton prototype powered by pneumatic muscles was developed. On this basis, Functional Electrical Stimulation (FES) induced paralyzed muscles to realize ankle joint rehabilitation training. As both of pneumatic muscle and FES induced muscle possess highly nonlinear characteristics, a sliding control algorithm called Chattering mitigation Robust Variable control (CRVC) was applied to leg hybrid rehabilitation. The combination of exoskeleton and FES is a promising way to reduce the cost and the complexity of designing hip-knee-ankle exoskeleton. The proposed hybrid method is verified by treadmill-based gait training experiments.

关键词： Muscles Exoskeletons Mathematical model Legged locomotion Iron Training

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Research on Navigation and Positioning technology for Autonomous Recovery of Unmanned Surface Vehicles

Research on Navigation and Positioning Technology for Autono...

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Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)

作者： Chen Xu Li-Ming Cai Xue-Jiao Sun Chang-Qing Hu Qing-Zhou Li Beijing Institute of Aerospace Control Devices Beijing China Aero-Times Marine Equipment Technology Development Co. Qingdao China China Aerospace Science and Technology Corporation Intelligent Unmanned System Overall Technology Research and Development Center Beijing China Laoshan Laboratory Qingdao China

The launch and recovery of Unmanned Surface Vehicles (USV) have long relied on manual assistance, which is one of the important factors limiting the wide application of USV in practical engineering. Navigation and positioning technology is the key to achieve autonomous recovery of USV. However, at present, the recovery process of USV basically still adopts manual remote control means, with high security requirements and low level of intelligence. This paper firstly describes the current situation of the application of navigation and positioning technology in the process of autonomous recovery of USV from two aspects: long-range USV navigation and positioning technology and close-range target relative positioning technology. By combining the characteristics of INS, GNSS, DVL and vision sensors, the framework of robust navigation system for the autonomous recovery of USV is designed for each stage of the recovery process. Then the key technologies involved are analyzed, including USV multi-source navigation information fusion technology and close-range visual relative positioning technology, and the corresponding adaptive federal Kalman filter algorithm and monocular visual positioning system algorithm are designed to realize accurate navigation and positioning in the autonomous recovery of USV. Finally, the navigation and positioning techniques in the autonomous recovery of USV are summarized and prospected.

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A Point Cloud Segmentation Method Based on Ground Point Cloud Removal and Multi-Scale Twin Range Image

A Point Cloud Segmentation Method Based on Ground Point Clou...

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Chinese control Conference (CCC)

作者： Yicheng Zhou Gang Peng Hangqi Duan Zhangang Wu Xukang Zhu School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan China Shantui Construction Machinery Co. Ltd. Jining China

Aiming at the shortcomings of traditional point cloud segmentation algorithms, this paper proposes a 3D lidar point cloud segmentation method combining ground filtering and multi-scale twin range image construction. This method fully considers the geometric space distribution characteristics of the point cloud and the randomness of the positions between objects. Based on the assumption of multi plane model, the point cloud is divided into sectors. The ground points are removed through region ground plane fitting and growth, and then the multi-scale twin range image is constructed according to non-ground points. On the basis of the twin range image, the Breadth First Search algorithm is improved, the depth-breadth joint search strategy is proposed, all the points to be clustered are traversed, and the adaptive clustering threshold is used for point cloud clustering, which realizes a point cloud segmentation method with higher accuracy and robustness. Through the experimental analysis of KITTI dataset and collected campus outdoor scene dataset, compared with the traditional point cloud segmentation algorithm, the method proposed in this paper can effectively improve the point cloud segmentation accuracy and robustness of mobile robots in complex environments.

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An improved mapping method of buffer for line-based architecture of 2-D DWT

An improved mapping method of buffer for line-based architec...

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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Cheng-Yi Xiong Cheng-Jun Wang Jin-wen Tian Jian Liu Institute of Pattern Recognition & Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China College of Electronic Information Engineering South-Center University for Nationalities Wuhan China

ISBN: (纸本)0780390156

The number of arithmetic units used in the one-dimensional (1D) discrete wavelet transform (DWT) is the main consideration for reducing the area of VLSI implementation of 1D DWT, while the size of intermediate memory used for data buffering is another dominate factor of effecting hardware complexity of VLSI implementation for two-dimensional (2D) DWT. In this paper, we exploit the essential relationship between the size of temporal buffer (TB) required in the line-based architecture for 2D DWT (LBA2DDWT) and the number of registers used in the 1D DWT module, and present an improved method of mapping the registers used in the 1D DWT to the TB required in LBA2DDWT. Comparison results with the other design reported in previous literature demonstrate that, the proposed mapping method can reduce efficiently the size of memory required in LBA2DDWT.

关键词： Discrete wavelet transforms Registers Two dimensional displays Very large scale integration Hardware Convolution Pipeline processing Arithmetic Signal analysis Image processing

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