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Fourier domain optical coherence tomography with ultralong depth range

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Frontiers of Optoelectronics 2015年第2期8卷 163-169页

作者： Zhihua ding yi shen Wen BAO Peng LI State Key Lab of Modem Optical Instrumentation Department of Optical Engineering Zhejiang University Hangzhou 310027 China

The depth ranges of typical implementations of Fourier domain optical coherence tomography （FDOCT）, including spectral domain OCT （SDOCT） and swept source OCT （SSOCT）, are limited to several millimeters. To extend the depth range of current OCT systems, two novel systems with ultralong depth range were developed in this study. One is the orthogonal dispersive SDOCT （OD-SDOCT）, and the other is the recirculated swept source （R-SS） interferometer/OCT. No compromise between depth range and depth resolution is required in both systems. The developed OD-SDOCT system realized the longest depth range （over 100 mm） ever achieved by SDOCT, which is ready to be modified for depth-encoded parallel imaging on multiple sites. The developed R-SS interferometer achieved submicron precision within a depth range of 30mm, holding potential in real-time contact-free on-axis metrology of complex optical sys- tems.

关键词： optical coherence tomography (OCT) vir-tually-imaged phased array (VIPA) orthogonal dispersion,swept source light recirculation parallel imaging dimen-sional metrology

Tuning the interfacial reaction environment via pH-dependent and induced ions to understand C–N bonds coupling performance in NO3- integrated CO2 reduction to carbon and nitrogen compounds over dual Cu-based N-doped carbon catalyst

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Journal of Energy Chemistry 2025年第1期100卷 273-285页

作者： Tianhang Zhou Chen shen Zhenghao Wu Xingying Lan yi Xiao College of Carbon Neutrality Future Technology State Key Laboratory of Heavy Oil Processing China University of Petroleum (Beijing) Institute of Materials Science TU Darmstadt Department of Chemistry Xi'an Jiaotong-Liverpool University Department of Mechanical and Mechatronics Engineering and Waterloo Institute of Nanotechnology University of Waterloo Waterloo

Dual atomic catalysts （DAC）,particularly copper （Cu2）-based nitrogen （N） doped graphene,show great potential to effectively convert CO2and nitrate （NO3-） into important industrial chemicals such as ethylene,glycol,acetamide,and urea through an efficient catalytical process that involves C–C and C–N ***,the origin of the coupling activity remained unclear,which substantially hinders the rational design of Cu-based catalysts for the N-integrated CO2reduction reaction （CO2RR）.To address this challenge,this work performed advanced density functional theory calculations incorporating explicit solvation based on a Cu2-based N-doped carbon (Cu2N6C10) catalyst for *** calculations are aimed to gain insight into the reaction mechanisms for the synthesis of ethylene,acetamide,and urea via coupling in the interfacial reaction *** to the sluggishness of CO2,the formation of a solvation electric layer by anions （F-,Cl-,Br-,and I-） and cations (Na+,Mg2+,K+,and Ca2+) leads to electron transfer towards the Cu *** process significantly accelerates the reduction of *** results reveal that*CO intermediates play a pivotal role in N-integrated ***,the Cu2-based N-doped carbon catalyst examined in this study has demonstrated the most potential for C–N coupling to *** findings reveal that through the process of a condensation reaction between*CO and NH2OH for urea synthesis,*NO3-is reduced to*NH3,and*CO2to*CCO at dual Cu atom *** dual-site reduction facilitates the synthesis of acetamide through a nucleophilic reaction between NH3and the ketene ***,we found that the I-and Mg2+ions,influenced by pH,were highly effective for acetamide and ammonia synthesis,except when F-and Ca2+were ***,the mechanisms of C–N bond formation were investigated via ab-initio molecular dynamics simulations,and we found that adjusting the micro-environment can change the dominant side reaction,shift

关键词： pH-dependent micro-environments C–N coupling Dual Cu-based nitrogen carbon catalysts Explicit solvation model Ion stabilizer AIMD

PI3K/AKT signaling and neuroprotection in ischemic stroke:molecular mechanisms and therapeutic perspectives

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Neural Regeneration Research 2025年第10期20卷 2758-2775页

作者： Tianlong Liu Xiaolin Li Xiaowei Zhou Wei Chen Aidong Wen Minna Liu yi ding Department of Pharmacy Xijing HospitalFourth Military Medical UniversityXi’anShaanxi ProvinceChina Department of Pharmacy The 940 Hospital of Joint Logistics Support Forces of Chinese PLALanzhouGansu ProvinceChina Department of Pharmacy The 944 Hospital of Joint Logistics Support Forces of Chinese PLAJiuquanGansu ProvinceChina Department of Nephrology The 940 Hospital of Joint Logistics Support Forces of Chinese PLALanzhouGansu ProvinceChina

It has been reported that the PI3K/AKT signaling pathway plays a key role in the pathogenesis of ischemic *** a result,the development of drugs targeting the PI3K/AKT signaling pathway has attracted increasing attention from *** article reviews the pathological mechanisms and advancements in research related to the signaling pathways in ischemic stroke,with a focus on the PI3K/AKT signaling *** key findings include the following:(1)The complex pathological mechanisms of ischemic stroke can be categorized into five major types:excitatory amino acid toxicity,Ca^(2+)overload,inflammatory response,oxidative stress,and apoptosis.(2)The PI3K/AKT-mediated signaling pathway is closely associated with the occurrence and progression of ischemic stroke,which primarily involves the NF-κB,NRF2,BCL-2,mTOR,and endothelial NOS signaling pathways.(3)Natural products,including flavonoids,quinones,alkaloids,phenylpropanoids,phenols,terpenoids,and iridoids,show great potential as candidate substances for the development of innovative anti-stroke medications.(4)Recently,novel therapeutic techniques,such as electroacupuncture and mesenchymal stem cell therapy,have demonstrated the potential to improve stroke outcomes by activating the PI3K/AKT signaling pathway,providing new possibilities for the treatment and rehabilitation of patients with ischemic *** investigations should focus on the direct regulatory mechanisms of drugs targeting the PI3K/AKT signaling pathway and their clinical translation to develop innovative treatment strategies for ischemic stroke.

关键词： apoptosis autophagy inflammation ischemic stroke neuroprotection oxidative stress pathogenesis phosphatidylinositol 3-kinase protein kinase B therapeutics

From waste to wealth:Coal tar residue derived carbon materials as low-cost anodes for potassium-ion batteries

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 464-475页

作者： Zhonghua Lu Jun shen Xin Zhang Lingcong Chao Liang Chen ding Zhang Tao Wei Shoudong Xu College of Chemical Engineering and Technology Taiyuan University of TechnologyTaiyuan 030024China College of Chemistry Taiyuan University of TechnologyTaiyuan 030024China School of Chemical Engineering and Pharmacy Wuhan Institute of TechnologyWuhan 430205China School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212003China

Carbon materials are widely recognized as highly promising electrode materials for various energy storage system *** tar residues(CTR),as a type of carbon-rich solid waste with high value-added utilization,are crucially important for the development of a more sustainable *** this study,we employed a straightforward direct carbonization method within the temperature range of 700-1000℃to convert the worthless solid waste CTR into economically valuable carbon materials as anodes for potassium-ion batteries(PIBs).The effect of carbonization temperature on the microstructure and the potassium ions storage properties of CTR-derived carbons(CTRCs)were systematically explored by structural and morphological characterization,alongside electrochemical performances *** on the co-regulation between the turbine layers,crystal structure,pore structure,functional groups,and electrical conductivity of CTR-derived carbon carbonized at 900℃(CTRC-900H),the electrode material with high reversible capacity of 265.6m Ah·g^(-1)at 50 m A·g^(-1),a desirable cycling stability with 93.8%capacity retention even after 100 cycles,and the remarkable rate performance for PIBs were ***,cyclic voltammetry(CV)at different scan rates and galvanostatic intermittent titration technique(GITT)have been employed to explore the potassium ions storage mechanism and electrochemical kinetics of *** indicate that the electrode behavior is predominantly governed by surface-induced capacitive processes,particularly under high current densities,with the potassium storage mechanism characterized by an“adsorption-weak intercalation”*** work highlights the potential of CTR-based carbon as a promising electrode material category suitable for high-performance PIBs electrodes,while also provides valuable insights into the new avenues for the high value-added utilization of CTR.

关键词： coal tar residue carbon materials anode potassium-ion batteries high value-added

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碳酸锂对雌性小鼠卵母细胞功能的影响

中国职业医学 2002年第4期29卷 15-17页

作者：苏庆吴一丁沈维干扬州大学医学院形态室江苏扬州225001

目的　研究碳酸锂对雌性小鼠卵母细胞功能的影响。方法　采用小鼠卵母细胞体外培养、体外受精等方法研究了碳酸锂处理对小鼠卵母细胞成熟、受精能力的影响。结果　碳酸锂可以抑制小鼠卵母细胞第一极体的释放率(对照组为 62 99% ,3mg/k... 详细信息

目的　研究碳酸锂对雌性小鼠卵母细胞功能的影响。方法　采用小鼠卵母细胞体外培养、体外受精等方法研究了碳酸锂处理对小鼠卵母细胞成熟、受精能力的影响。结果　碳酸锂可以抑制小鼠卵母细胞第一极体的释放率(对照组为 62 99% ,3mg/kg组为 52 63 % ,6mg/kg组为 2 8 0 9% ) ,降低卵母细胞的体外受精率 (对照组为 71 43% ,3mg/kg组为 49 48% ,6mg/kg组为 9 59% )。结论　碳酸锂可以破坏卵母细胞的成熟。

关键词：碳酸锂卵母细胞体外受精雌性小鼠

以省为实体的区域能源互联网内涵框架及发展方向分析

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电力系统保护与控制 2017年第5期45卷 1-9页

作者：孙可吴臻尚楠段光张利军包铭磊刘翰林丁一范娟娟沈梁国网浙江省电力公司浙江杭州310027 国网浙江省电力公司经研院浙江杭州310027 浙江大学电气学院浙江杭州310027 浙江华云信息科技有限公司浙江杭州310027

随着数据处理分析技术等网络技术大范围的更新,能源领域得到了更高层次的发展和提升,并以此为契机,出现了"能源互联网"概念。当前对于较理想的能源互联网,其概念、机制、构建及内涵领域的研究较为丰富,而对于如何从当前传统电力系统过... 详细信息

随着数据处理分析技术等网络技术大范围的更新,能源领域得到了更高层次的发展和提升,并以此为契机,出现了"能源互联网"概念。当前对于较理想的能源互联网,其概念、机制、构建及内涵领域的研究较为丰富,而对于如何从当前传统电力系统过渡到能源互联网的发展建设方向、如何通过建设能源互联网解决当下能源行业问题的研究相对较少。因此,从实际出发,首先阐述了以省为实体的区域能源互联网的内涵框架,其次介绍目前浙江省能源发展的现状,并总结当前浙江省存在的突出问题,包括系统调峰问题、可靠性问题及市场机制缺乏等。针对于上述问题,进一步提出当前浙江省发展区域能源互联网的重点与发展方向并提出相应的关键支撑技术,以期为区域能源互联网建设提供一些参考。

关键词：区域能源互联网发展建设方向关键支撑技术能源解决方案

基于数据融合的SLAM系统研究与路径规划实现

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电脑知识与技术 2017年第11X期13卷 24-26,37页

作者：赖秋玲禹素萍丁绅一东华大学信息科学与技术学院上海201620 东华大学数字化纺织服装技术教育部工程研究中心上海201620 东华大学贝加莱联合工业实验室上海201620

移动机器人同时定位与建图(SLAM-Simultaneous Locating And Mapping)与路径规划是实现智能化机器人的前提。该系统首先通过HCR(Home Care Robot)机器人搭载激光雷达和RGB-D传感器,在ROS的运行环境下,分别实现基于ORB-SLAM2和RGB-D SLA... 详细信息

移动机器人同时定位与建图(SLAM-Simultaneous Locating And Mapping)与路径规划是实现智能化机器人的前提。该系统首先通过HCR(Home Care Robot)机器人搭载激光雷达和RGB-D传感器,在ROS的运行环境下,分别实现基于ORB-SLAM2和RGB-D SLAM算法框架的同时定位与建图,获取三维点云图。然后将三维点云图与激光雷达生成的二维平面图进行数据融合,得到含有较丰富环境信息的环境二维栅格地图,并利用A*算法路径搜索算法,对机器人进行路径规划。实验结果表明融合了环境三维点云信息的地图,更适合用于路径规划。

关键词：同时定位与建图 RGB-D传感器激光雷达路径规划

Deep model-based feature extraction for predicting protein subcellular localizations from bio-images

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Frontiers of Computer Science 2017年第2期11卷 243-252页

作者： Wei SHAO yi ding Hong-Bin shen Daoqiang ZHANG School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 211106 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

Protein subcellular localization prediction is im- portant for studying the function of proteins. Recently, as significant progress has been witnessed in the field of mi- croscopic imaging, automatically determining the subcellular localization of proteins from bio-images is becoming a new research hotspot. One of the central themes in this field is to determine what features are suitable for describing the pro- tein images. Existing feature extraction methods are usually hand-crafted designed, by which only one layer of features will be extracted, which may not be sufficient to represent the complex protein images. To this end, we propose a deep model based descriptor （DMD） to extract the high-level fea- tures from protein images. Specifically, in order to make the extracted features more generic, we firstly trained a convolu- tion neural network （i.e., AlexNe0 by using a natural image set with millions of labels, and then used the partial parame- ter transfer strategy to fine-tnne the parameters from natural images to protein images. After that, we applied the Lasso model to select the most distinguishing features from the last fully connected layer of the CNN （Convolution Neural Net- work）, and used these selected features for final classifica- tions. Experimental results on a protein image dataset vali- date the efficacy of our method.

关键词： partial parameter transfer subcellular location classification feature extraction deep model convolution neural network

Hierarchical topic modeling with nested hierarchical Dirichlet process

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第6期10卷 858-867页

作者： yi-qun ding Shan-ping LI Zhen ZHANG Bin shen School of Computer Science and Technology Zhejiang University Hangzhou 310027 China State Street Hangzhou Hangzhou 310000 China

This paper deals with the statistical modeling of latent topic hierarchies in text corpora. The height of the topic tree is assumed as fixed, while the number of topics on each level as unknown a priori and to be inferred from data. Taking a nonpara-metric Bayesian approach to this problem, we propose a new probabilistic generative model based on the nested hierarchical Dirichlet process (nHDP) and present a Markov chain Monte Carlo sampling algorithm for the inference of the topic tree structure as well as the word distribution of each topic and topic distribution of each document. Our theoretical analysis and experiment results show that this model can produce a more compact hierarchical topic structure and captures more fine-grained topic rela-tionships compared to the hierarchical latent Dirichlet allocation model.

关键词： Topic modeling Natural language processing Chinese restaurant process Hierarchical Dirichlet process Markovchain Monte Carlo Nonparametric Bayesian statistics