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Postmastectomy radiotherapy in breast reconstruction:Current controversies and trends

Cancer Innovation 2024年第1期3卷 113-123页

作者： Honghong Zhang Dandan Song Liangxi Xie Ning Zhan Wenjia Xie Jianming Zhang Department of Radiation Oncology Xiang'an Hospital of Xiamen UniversityCancer Research CenterSchool of MedicineXiamen UniversityXiang'anXiamenFujianChina Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Quanzhou Institute of Equipment ManufacturingHaixi InstitutesChinese Academy of SciencesQuanzhouFujianChina

Breast cancer is the most common cancer among women *** radiotherapy(PMRT)is an essential component of combined therapy for early-stage,high-risk breast *** reconstruction(BR)is often considered for patients with breast cancer who have undergone *** has been a considerable amount of discussion about the optimal approach to combining PMRT with BR in the treatment of breast *** may increase the risk of complications and prevent good aesthetic results after BR,while BR may increase the complexity of PMRT and the radiation dose to surrounding normal *** purpose of this review is to give a broad overview and summary of the current controversies and trends in PMRT and BR in the context of the most recent literature available.

关键词： breast reconstruction postmastectomy radiotherapy radiotherapy techniques

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A transferable energy management strategy for hybrid electric vehicles via dueling deep deterministic policy gradient

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Green Energy and Intelligent Transportation 2022年第2期1卷 75-87页

作者： Jingyi Xu Zirui Li Guodong Du Qi Liu Li Gao Yanan Zhao School of Mechanical Engineering Beijing Institute of Technology100081BeijingChina Department of Transport and Planning Delft University of TechnologyDelft2628 CDthe Netherlands Institute of Dynamic System and Control ETH ZurichSonneggstrasse 38092ZurichSwitzerland

Due to the high mileage and heavy load capabilities of hybrid electric vehicles(HEVs),energy management becomes crucial in improving energy *** avoid the over-dependence on the hard-crafted models,deep reinforcement learning(DRL)is utilized to learn more precise energy management strategies(EMSs),but cannot generalize well to different driving situations in most *** driving cycles are changed,the neural network needs to be retrained,which is a time-consuming and laborious task.A more efficient transferable way is to combine DRL algorithms with transfer learning,which can utilize the knowledge of the driving cycles in other new driving situations,leading to better initial performance and a faster training process to *** this paper,we propose a novel transferable EMS by incorporating the DRL method and dueling network architecture for *** results indicate that the proposed method can generalize well to new driving cycles,with comparably initial performance and faster convergence in the training process.

关键词： Energy management strategies Deep reinforcement learning Dueling network architecture Transfer learning

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A Recommendation system Based on Adaptive Genetic Algorithm for Enclosed Spaces 6

A Recommendation System Based on Adaptive Genetic Algorithm ...

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6th International Symposium on Autonomous systems, ISAS 2023

作者： Guo, Meng Chen, Songhang Wang, Yaozong Fujian Normal University College of Computer and Cyber Security Fuzhou China Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Department of Quanzhou Institute of Equipment Manufacturing Quanzhou China Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Department of Quanzhou Institute of Equipment Manufacturing Quanzhou China

ISBN: (纸本)9798350316155

Most of the management systems used in common enclosed spaces only have basic functions such as booking and payment, and do not have epidemic prevention and traceability functions. In the COVID-19 pandemic, enclosed scenes, without an epidemic prevention system, clearly increase the risk of cross-contamination of the population, making it a black box that will amplify the severity of the outbreak. In this paper, we develop an intelligent recommendation system designed to coordinate the operation of enclosed spaces and decentralize the new customers to a low-infection risk box. An adaptive genetic algorithm is proposed to achieve optimal allocation of personnel and boxes, which can avoid contact between customers during low peak hours and minimize cross-contact during peak hours. On the one hand, it guarantees the user experience, and on the other hand, it guarantees these enclosed spaces have a high decentralization of crowd density when an epidemic occurs. This greatly reduces the risk of exposure to infection and is of great significance in preventing the spread of the epidemic. © 2023 IEEE.

关键词： Recommender systems

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Hierarchical Path Planning and Motion control Framework Using Adaptive Scale Based Bidirectional Search and Heuristic Learning Based Predictive control

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IEEE Transactions on Vehicular Technology 2025年

作者： Du, Guodong Zou, Yuan Zhang, Xudong Li, Zirui Liu, Qi ETH Zurich Institute of Dynamic System and Control Sonneggstrasse 3 Zurich Switzerland Beijing Institute of Technology National Engineering Laboratory for Electric Vehicles School of Mechanical Engineering Beijing China Beijing Institute of Technology National Engineering Laboratory for Electric Vehicles School of Mechanical Engineering Collaborative Innovation Center of Electric Vehicles in Beijing Beijing China Delft University of Technology Department of Transport and Planning CD Delft2628 Netherlands

Autonomous vehicles have been used for a variety of driving tasks, in which path planning and motion control are important research parts to realize the autonomous driving. A hierarchical framework consisting of path planning and motion control of the vehicle for non-specific scenarios is proposed in this paper. Firstly, the description and the formulations of the problem are given, and the corresponding models are constructed. Then, the logical construction of proposed framework is expounded with several logical associations and algorithmic improvements. The bidirectional heuristic planning with adaptive scale search is designed and incorporated with robust weighted regression algorithm to plan the optimal global path, while the multi-step predictive control method based on heuristic reinforcement learning algorithm is proposed to improve the effect of the motion control. The results show that the proposed framework for autonomous driving achieves better performance in both path planning and motion control than several existing algorithms and methods. The adaptability of hierarchical framework is demonstrated. Furthermore, the effectiveness of the hierarchical framework in real world scenario application is also validated. © 1967-2012 IEEE.

关键词： Predictive control systems

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A Recommendation system Based on Adaptive Genetic Algorithm for Enclosed Spaces

A Recommendation System Based on Adaptive Genetic Algorithm ...

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International Symposium on Autonomous systems (ISAS)

作者： Meng Guo Songhang Chen Yaozong Wang Fujian Normal University College of Computer and Cyber Security Fuzhou China Department of Quanzhou Institute of Equipment Manufacturing Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Quanzhou China Department of Quanzhou Institute of Equipment Manufacturing Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Quanzhou China

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Laser based Active Debris Removal Technology for ENVISAT 73

Laser based Active Debris Removal Technology for ENVISAT

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73rd International Astronautical Congress, IAC 2022

作者： Baraskar, Aditya Fukushima, Tadanori Itaya, Yuki Fujihara, Tomoaki Nagamine, Kenshin Tsuno, Katsuhiko Kawai, Yoshiharu Maruyama, Masayuki Ogawa, Takayo Wada, Satoshi Ebisuzaki, Toshikazu Casolino, Marco Sakai, Daisuke Yoshimura, Yasuhiro Hanada, Toshiya SKY Perfect JSAT Corporation Akasaka Intercity AIR 1-8-1 Akasaka Minato-ku Tokyo107-0052 Japan Space System Dynamic Laboratory Department of Aeronautics and Astronautics Kyushu University 744 Motooka Nishi-ku Fukuoka819-0395 Japan Satellite Orbital State Control Laser Laboratory RIKEN W416 Cooperation Center 2-1 Hirosawa Saitama Wako351-0198 Japan

The 21st century is marked by the unprecedented progress of human knowledge in space, quantum mechanics, and machine learning. This progress has in turn lead to a significant increase in satellite launches, with various organizations developing mega-constellations in space to provide new business opportunities. While current predictions estimate that space in Low Earth Orbit will be overcrowded in the future, and sustainability of space will become a critical question as the estimated traffic of 89,000 satellites will be launched by the year 2035. To allow sustainable development of space, especially in Low Earth Orbit, there is a need to develop accurate traffic management and active debris removal mission planning. Lately, several organizations proposed and completed space demonstration experiments for debris removal. Current their designs are part of an ongoing project to develop contact-based debris removal technology. However, this technology poses several problems for satellite removal. We propose a complementary method based on a laser system. The laser is capable to operate from a safe distance by stopping the continuous rotation (detumbling) of space objects. In this paper, we present a case study using the ENVISAT satellite. ENVISAT is an 8,211 kg satellite, launched by European Space Agency. Since 2012, communication has stopped, and it is no longer operational. It is predicted to self-deorbit in the next 150 years. However, the orbital simulation of existing objects found two cataloged space debris which will pass within 200 m., resulting in a close approach every year. The elevated mass of the satellite and the number of close approaches, therefore, pose a considerable threat, leading to the production of debris. SKY Perfect JSAT Corporation is working jointly with Japanese institutions to collaboratively develop laser satellites to stop detumbling and the careful removal of debris. The demonstration mission will be launched by the year 2026-2027. With

关键词： Space debris

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Multi-Dimensional Spectrum Data Denoising Based on Tensor Theory 4

Multi-Dimensional Spectrum Data Denoising Based on Tensor Th...

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4th IEEE International Conference on Electronics and Communication Engineering, ICECE 2021

作者： Zhai, Chengkai Zhang, Wensheng Sun, Jian Zhu, Weihong Ma, Piming Bai, Zhiquan Zhang, Lei Shandong Provincial Key Lab of Wireless Communication Technologies School of Information Science and Engineering Shandong University Qingdao China Shandong Provincial Key Lab of Wireless Communication Technologies Shandong University Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing University of Aeronautics and Astronautics Qingdao China Department of Traffic Information and Control Engineering Tongji University Shanghai China

ISBN: (纸本)9781728194226

In this paper, we propose a novel multi-dimensional spectrum data denoising scheme from the perspective of tensor theory. The spectrum data is organized into spectrum tensor comprehensively from multiple dimensions. The optimal low rank approximation of the noisy spectrum tensor can be calculated by TUCKALS3 algorithm to reduce noise. Estimating the n-rank of tensor more accurately is necessary to improve the denoising performance of the TUCKALS3 algorithm. Therefore, we further improve the existing minimum description length (MDL) algorithm. Experimental results show that the signal-to-noise ratio (SNR) of the spectrum tensor can be increased by 15dB averagely by applying the enhanced algorithm, even at a higher noise level. The enhanced TUCKALS3 algorithm can effectively denoise multi-dimensional spectrum data and improve the corresponding system performance. ©2021 IEEE

关键词： Tensors

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Using transmissibility and vibration power flow methods to evaluate the effectiveness of elastomeric mounts for vibration and noise control 21

Using transmissibility and vibration power flow methods to e...

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21st International Congress on Sound and Vibration 2014, ICSV 2014

作者： Arib, Md. Rejab Mohd Noor Roslan, Abd Rahman Ishak, Raja Hamzah Raja Iqbal, Inayat-Hussain Jawaid Nazirah, Ahmad Asyraf, Ismail Azma, Putra Department of System Dynamic and Control Faculty of Mechanical Engineering Universiti Teknologi Malaysia Malaysia Department of Mechanical Engineering College of Engineering Universiti Tenaga Nasional Malaysia Engineering and Product Design Unit Technology and Engineering Division Malaysia Faculty of Mechanical Engineering Universiti Teknikal Malaysia Melaka Malaysia

ISBN: (纸本)9781634392389

This paper presents the results of an experimental evaluation of elastomeric mounts used to isolate vibration from a block (representing a powertrain) to a structure test rig (representing a vehicle structure). Four types of elastomeric mounts were considered, where three of them are from green material natural rubber (SMR CV60, ENR50 and DPNR) and one from petroleum based synthetic rubber (EPDM). Measurement of the dynamic stiffness and loss factor of these elastomers were initially performed. dynamic stiffness and loss factor were measured in the axial direction for a range of frequency between 5 Hz and 150 Hz at with a dynamic amplitude of 0.2 mm (p-p). Shaker excitation using random vibration signal in the frequency range of 10 Hz to 150 Hz at constant force magnitude was applied to the block in order to quantity the effectiveness of the elastomeric mounts. Measured vibration amplitudes in the axial direction on both sides of each mount were used to calculate the transmissibility and vibration power flow. Sound radiation from a plate attached to the structure test rig was also measured to evaluate the elastomeric mounts contribution to structure-borne noise. The results from transmissibility showed that vibration was high on EPDM, particularly in the ranges 25 to 35 Hz, 60 to 80 Hz and 100 to 120 Hz. ENR50 ability to reduce or damped the amplitude at resonance was found to be the best as compared to the other elastomers. The total vibration power flow was observed to be highest on ENR50 followed by EPDM. The high transmissibility on EPDM was due to its high dynamic stiffness and low loss factor. The larger total vibration power flow on ENR50 was attributed to its high dynamic stiffness and high loss factor.

关键词： Rubber

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Autonomous relative navigation with laser range finder and inertial sensor for uncooperative spacecraft rendezvous

Autonomous relative navigation with laser range finder and i...

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International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Gu, Dongqing Bu, Shaohua Xing, Guangqian Ye, Biao Chen, Xiaoguang Department of Dynamic and Control Aerospace System Engineering Shanghai Shanghai China

ISBN: (纸本)9781424494040

This paper presents a novel autonomous relative navigation approach for uncooperative spacecraft rendezvous. The relative navigation algorithm of calculating the relative velocity and position in the inertial frame by using the inertial sensor output is developed. The Kalman filter with the feedback compensation is studied to estimate the error of the calculated relative velocity and position and the accelerometer bias. The relative range and the azimuth and elevation of the line-of-site vector from the laser range finder are used as the Kalman filter measurement. The relative navigation algorithm and the Kalman filter presented in this paper do not depends on any information from the object spacecraft, so they are suitable for uncooperative spacecraft rendezvous. The simulation results show the relative velocity and position provided by the autonomous relative navigation approach presented in this paper can meet the desired accuracy and the accelerometer bias can be estimated efficiently. ©2011 IEEE.

关键词： Kalman filters

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