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Dose reconstruction with Compton camera during proton therapy via subset-driven origin ensemble and double evolutionary algorithm

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Nuclear Science and Techniques 2023年第4期34卷 135-148页

作者： Zhi-Yang Yao Yong-Shun Xiao ji-zhong zhao Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Particle&Radiation Imaging(Tsinghua University) Ministry of EducationBeijing 100084China

Compton camera-based prompt gamma(PG) imaging has been proposed for range verification during proton therapy. However, a deviation between the PG and dose distributions, as well as the difference between the reconstructed PG and exact values, limit the effectiveness of the approach in accurate range monitoring during clinical applications. The aim of the study was to realize a PG-based dose reconstruction with a Compton camera, thereby further improving the prediction accuracy of in vivo range verification and providing a novel method for beam monitoring during proton therapy. In this paper, we present an approach based on a subset-driven origin ensemble with resolution recovery and a double evolutionary algorithm to reconstruct the dose depth profile(DDP) from the gamma events obtained by a cadmium-zinc-telluride Compton camera with limited position and energy resolution. Simulations of proton pencil beams with clinical particle rate irradiating phantoms made of different materials and the CT-based thoracic phantom were used to evaluate the feasibility of the proposed method. The results show that for the monoenergetic proton pencil beam irradiating homogeneous-material box phantom,the accuracy of the reconstructed DDP was within 0.3 mm for range prediction and within 5.2% for dose prediction. In particular, for 1.6-Gy irradiation in the therapy simulation of thoracic tumors, the range deviation of the reconstructed spreadout Bragg peak was within 0.8 mm, and the relative dose deviation in the peak area was less than 7% compared to the exact values. The results demonstrate the potential and feasibility of the proposed method in future Compton-based accurate dose reconstruction and range verification during proton therapy.

关键词： Prompt gamma imaging Dose reconstruction Range verification Origin ensemble Compton camera Evolutionary algorithm

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Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-Based Speed Estimation

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Journal of Computer Science & Technology 2014年第4期29卷 589-604页

作者：蒋志平惠维李向阳唐少杰赵季中韩劲松赵鲲王志肖波 School of Electronic and Information Engineering Xi’an Jiaotong University CCF ACM IEEE Department of Computer Science Illinois Institute of Technology Chicago IL 60616 U.S.A. Department of Information Science University of Texas at Dallas Richardson TX U.S.A. Network Center The Aviation University of Air Fone

Numerous indoor localization techniques have been proposed recently to meet the intensive demand for location- based service （LBS）. Among them, the most popular solutions are the Wi-Fi fingerprint-based approaches. The core challenge is to lower the cost of fingerprint site-survey. One of the trends is to collect the piecewise data from clients and establish the radio map in crowdsourcing manner. However the low participation rate blocks the practical use. In this work, we propose a passive crowdsourcing channel state information （CSI） based indoor localization scheme, C2IL. Despite a crowdsourcing based approach, our scheme is totally transparent to the client and the only requirement is to connect to our 802.11n access points （APs）. C2IL is built upon an innovative method to accurately estimate the moving speed solely based on 802.11n CSI. Knowing the walking speed of a client and its surrounding APs, a graph matching algorithm is employed to extract the received signal strength （RSS） fingerprints and establish the fingerprint map. For localization phase, we design a trajectory clustering based localization algorithm to provide precise real-time indoor localization and tracking. We develop and deploy a practical working system of C2IL in a large office environment. Extensive evaluations indicate that the error of speed estimation is within 3%, and the localization error is within 2 m at 80% time in a very complex indoor environment.

关键词： channel state information speed estimation fingerprint map graph matching indoor localization

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Recent Advances in Artificial Sensory Neurons:Biological Fundamentals,Devices,Applications,and Challenges

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Nano-Micro Letters 2025年第3期17卷 168-216页

作者： Shuai zhong Lirou Su Mingkun Xu Desmond Loke Bin Yu Yishu Zhang Rong zhao Guangdong Institute of Intelligence Science and Technology HengqinZhuhai 519031People’s Republic of China College of Integrated Circuits Zhejiang UniversityHangzhou 3112000People’s Republic of China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 310027People’s Republic of China Department of Science Mathematics and TechnologySingapore University of Technology and DesignSingapore 487372Singapore Department of Precision Instruments Tsinghua UniversityBeijing 100084People’s Republic of China Center for Brain‑Inspired Computing Research Tsinghua UniversityBeijing 100084People’s Republic of China IDG/McGovern Institute for Brain Research Tsinghua UniversityBeijing 100084People’s Republic of China

Spike-based neural networks,which use spikes or action potentialsto represent information,have gained a lot of attention because of their high energyefficiency and low power *** fully leverage its advantages,convertingthe external analog signals to spikes is an essential *** including analog-to-digital converters or ring oscillators,and sensorssuffer from high power and area *** efforts are devoted to constructingartificial sensory neurons based on emerging devices inspired by the biologicalsensory *** can simultaneously perform sensing and spike conversion,overcoming the deficiencies of traditional sensory *** review summarizesand benchmarks the recent progress of artificial sensory *** starts with thepresentation of various mechanisms of biological signal transduction,followed bythe systematic introduction of the emerging devices employed for artificial ***,the implementations with different perceptual capabilitiesare briefly outlined and the key metrics and potential applications are also ***,we highlight the challenges and perspectives for the future development of artificial sensory neurons.

关键词： Artificial intelligence Emerging devices Artificial sensory neurons Spiking neural networks Neuromorphic sensing

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Assessing Diagnosis Approaches for Wireless Sensor Networks:Concepts and Analysis

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Journal of Computer Science & Technology 2014年第5期29卷 887-900页

作者：李瑞刘克彬李向阳何源惠维王志赵季中万猛 Institute of Software Engineering Xidian University School of Electronic and Information Engineering Xi’an Jiaotong University School of Software Tsinghua University Tsinghua National Laboratory for Information Science and Technology Tsinghua University Department of Computer Science Illinois Institute of Technology Chicago IL 60616 U.S.A. Center for Science and Technology Development Ministry of Education

Diagnosis is of great importance to wireless sensor networks due to the nature of error prone sensor nodes and unreliable wireless links. The state-of-the-art diagnostic tools focus on certain types of faults, and their performances are highly correlated with the networks they work with. The network administrators feel difficult in measuring the effectiveness of their diagnosis approaches and choosing appropriate tools so as to meet the reliability demand. In this work, we introduce the D-vector to characterize the property of a diagnosis approach. The D-vector has five dimensions, namely the degree of coupling, the granularity, the overhead, the tool reliability and the network reliability, quantifying and evaluating the effectiveness of current diagnostic tools in certain applications. We employ a skyline query algorithm to find out the most effective diagnosis approaches, i.e., skyline points（SPs）, from five dimensions of all potential D-vectors. The selected skyline D-vector points can further guide the design of various diagnosis approaches. In our trace-driven simulations, we design and select tailored diagnostic tools for GreenOrbs, achieving high performance with relatively low overhead.

关键词： diagnosis approach analysis and measurement wireless sensor network

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High‑Entropy Electrode Materials:Synthesis,Properties and Outlook

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Nano-Micro Letters 2025年第1期17卷 472-506页

作者： Dongxiao Li Chang Liu Shusheng Tao jieming Cai Biao zhong jie Li Wentao Deng Hongshuai Hou Guoqiang Zou Xiaobo ji College of Chemistry and Chemical Engineering Central South UniversityChangsha 410083People’s Republic of China School of Chemistry and Chemical Engineering Hunan Institute of EngineeringXiangtan 411104People’s Republic of China

High-entropy materials represent a new category of high-performance materials,first proposed in 2004 and extensively investigated by researchers over the past two *** definition of high-entropy materials has continuously *** the last ten years,the discovery of an increasing number of high-entropy materials has led to significant advancements in their utilization in energy storage,electrocatalysis,and related domains,accompanied by a rise in techniques for fabricating high-entropy electrode ***,the research emphasis has shifted from solely improving the performance of high-entropy materials toward exploring their reaction mechanisms and adopting cleaner preparation ***,the current definition of high-entropy materials remains relatively vague,and the preparation method of high-entropy materials is based on the preparation method of single metal/low-or medium-entropy *** should be noted that not all methods applicable to single metal/low-or medium-entropy materials can be directly applied to high-entropy *** this review,the definition and development of high-entropy materials are briefly ***,the classification of high-entropy electrode materials is presented,followed by a discussion of their applications in energy storage and catalysis from the perspective of synthesis ***,an evaluation of the advantages and disadvantages of various synthesis methods in the production process of different high-entropy materials is provided,along with a proposal for potential future development directions for high-entropy materials.

关键词： High-entropy Energy storage Electrode materials

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Dual‑Donor‑Induced Crystallinity Modulation Enables 19.23% Efficiency Organic Solar Cells

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Nano-Micro Letters 2025年第3期17卷 376-388页

作者： Anhai Liang Yuqing Sun Sein Chung jiyeong Shin Kangbo Sun Chaofeng Zhu jingjing zhao Zhenmin zhao Yufei zhong Guangye Zhang Kilwon Cho Zhipeng Kan Center On Nanoenergy Research Institute of Science and Technology for Carbon Peak&NeutralitySchool of Physical Science&TechnologyGuangxi UniversityNanning 530004People’s Republic of China Department of Chemical Engineering Pohang University of Science and TechnologyPohang 37673South Korea College of New Materials and New Energies Shenzhen Technology UniversityShenzhen 518118People’s Republic of China Zhejiang Engineering Research Center for Fabrication and Application of Advanced Photovoltaic Materials School of Materials Science and EngineeringNingboTech UniversityNingbo 315100People’s Republic of China State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures Nanning 530004People’s Republic of China

Trap-assisted charge recombination is one of the primary limitationsof restricting the performance of organic solar cells. However, effectivelyreducing the presence of traps in the photoactive layer remains ***, wide bandgap polymer donor PTzBI-dF is demonstrated as an effectivemodulator for enhancing the crystallinity of the bulk heterojunction active layerscomposed of D18 derivatives blended with Y6, leading to dense and orderedmolecular packings, and thus, improves photoluminescence quenching *** a result, the photovoltaic devices exhibit reduced trap-assisted charge recombinationlosses, achieving an optimized power conversion efficiency of over 19%.Besides the efficiency enhancement, the devices comprised of PTzBI-dF as athird component simultaneously attain decreased current leakage, improved chargecarrier mobilities, and suppressed bimolecular charge recombination, leading toreduced energy losses. The advanced crystalline structures induced by PTzBI-dFand its characteristics, such as well-aligned energy level, and complementaryabsorption spectra, are ascribed to the promising performance *** findings suggest that donor phase engineering is a feasible approach to tuning the molecular packings in the active layer, providingguidelines for designing effective morphology modulators for high-performance organic solar cells.

关键词： Trap-assisted charge recombination Photoluminescence Miscibility Current leakage Power conversion efficiency

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Regulation and function of endoplasmic reticulum autophagy in neurodegenerative diseases

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Neural Regeneration Research 2025年第1期20卷 6-20页

作者： Xiu-Yun zhao De-En Xu Ming-Lei Wu ji-Chuan Liu Zi-Ling Shi Quan-Hong Ma Department of Neurology and Clinical Research Center of Neurological Disease the Second Affiliated Hospital of Soochow UniversitySuzhouJiangsu ProvinceChina Institute of Neuroscience&jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psycho-Diseases Soochow UniversitySuzhouJiangsu ProvinceChina Department of Neurology Jiangnan University Medical CenterWuxiJiangsu ProvinceChina

The endoplasmic reticulum,a key cellular organelle,regulates a wide variety of cellular *** reticulum autophagy,one of the quality control systems of the endoplasmic reticulum,plays a pivotal role in maintaining endoplasmic reticulum homeostasis by controlling endoplasmic reticulum turnover,remodeling,and *** this review,we briefly describe the endoplasmic reticulum quality control system,and subsequently focus on the role of endoplasmic reticulum autophagy,emphasizing the spatial and temporal mechanisms underlying the regulation of endoplasmic reticulum autophagy according to cellular *** also summarize the evidence relating to how defective or abnormal endoplasmic reticulum autophagy contributes to the pathogenesis of neurodegenerative *** summary,this review highlights the mechanisms associated with the regulation of endoplasmic reticulum autophagy and how they influence the pathophysiology of degenerative nerve *** review would help researchers to understand the roles and regulatory mechanisms of endoplasmic reticulum-phagy in neurodegenerative disorders.

关键词： autophagy endoplasmic reticulum endoplasmic reticulum autophagy endoplasmic reticulum quality control system endoplasmic reticulum receptors endoplasmic reticulum-associated degradation neurodegeneration neurodegenerative disease selective autophagy unfolded protein response

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边缘颜色匹配算法在计算机拼图中的应用

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计算机工程与设计 2010年第16期31卷 3705-3707,3711页

作者：支玲玲葛庆平姬照中首都师范大学信息工程学院北京100048

对于计算机自动拼图中的颜色匹配问题,由于全局直方图不包含颜色的空间分布信息,不同的图像可能具有相同的颜色直方图。为弥补该缺点,提出了应用图像的边缘颜色信息进行匹配的方法。该算法先进行边缘提取,然后以每个边缘点为中心,选取... 详细信息

对于计算机自动拼图中的颜色匹配问题,由于全局直方图不包含颜色的空间分布信息,不同的图像可能具有相同的颜色直方图。为弥补该缺点,提出了应用图像的边缘颜色信息进行匹配的方法。该算法先进行边缘提取,然后以每个边缘点为中心,选取一个适当区域,计算直方图,利用直方图相交法进行特征的匹配。实验结果表明,与传统的直方图相交方法相比,在进行图像匹配时合理利用图像的边缘特征可有效的提高匹配性能。

关键词：计算机自动拼图颜色直方图图像匹配边缘提取 HIS颜色空间

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诊断性经颅磁刺激研究进展

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中国现代神经疾病杂志 2017年第4期17卷 300-305页

作者：黄蓓吴惠涓钱禛颖王继军赵忠新第二军医大学附属长征医院神经内科上海200003 上海市精神卫生中心脑电磁影像眼动研究室 200030

经颅磁刺激是一种无创性神经电生理学技术,经颅磁刺激运动诱发电位已广泛应用于运动皮质兴奋性与皮质延髓束、皮质脊髓束传导功能的评价。近年随着对磁刺激原理的深入了解和刺激线圈、刺激模式的不断多样化,经颅磁刺激在神经病学临床诊... 详细信息

经颅磁刺激是一种无创性神经电生理学技术,经颅磁刺激运动诱发电位已广泛应用于运动皮质兴奋性与皮质延髓束、皮质脊髓束传导功能的评价。近年随着对磁刺激原理的深入了解和刺激线圈、刺激模式的不断多样化,经颅磁刺激在神经病学临床诊断中的应用不断拓展,逐渐形成更加科学和标准化的运动诱发电位操作流程。本文拟对诊断性经颅磁刺激常规刺激模式研究进展、特殊模式刺激方案,以及经颅磁刺激与脑电图、f MRI的联合应用进行综述。

关键词：经颅磁刺激诱发电位运动综述

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集成深度强化学习在股票指数投资组合优化中的应用分析

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计算机科学与探索 2025年第1期19卷 237-244页

作者：冀中张文嘉天津大学电气自动化与信息工程学院天津300072 天津大学佐治亚理工深圳学院天津300072

基于集成深度强化学习的投资组合选择是当前量化金融领域的关键技术之一。然而,目前采用上一窗口阶段最优指标决定下一阶段代理的集成滚动窗口方法存在一定的滞后性。为了有效应对这一不足,提出了双层嵌套集成深度强化学习方法。该方法... 详细信息

基于集成深度强化学习的投资组合选择是当前量化金融领域的关键技术之一。然而,目前采用上一窗口阶段最优指标决定下一阶段代理的集成滚动窗口方法存在一定的滞后性。为了有效应对这一不足,提出了双层嵌套集成深度强化学习方法。该方法对三种代理(优势演员-评论员、深度确定性策略梯度和近端策略优化)进行两层嵌套模式,第一层集成通过最优化夏普比率进行阶段模型选择,第二层通过加权投票的方法集成三种深度强化学习算法,从单次训练中收集多个模型快照,在训练期间利用这些模型进行集成预测。分别对上证50投资指数和道琼斯指数及其包含的股票进行了投资组合研究,将持有指数被动策略和均值方差投资组合策略作为基线策略。实验采用了投资组合价值、年化回报率、年化波动率、最大回撤和夏普比率等指标作为对比指标。结果表明,所提出的集成方法在实用性和有效性上表现出较好的性能。

关键词：股票投资组合交易策略深度强化学习双层嵌套集成深度强化学习方法集成学习

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