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Chinese Medical Journal 2018年第15期131卷 1882-1883页

作者： Li Zhang Zi-Xian Chen wei tian Xin-Ling Yang Shun-Lin Guo Department of the First Clinical Medical College Lanzhou University Lanzhou Gansu 730000 China Department of Radiology The First Hospital of Lanzhou University Lanzhou Gansu 730000 China Department of Magnetic Resonance Imaging Cardiovascular Imaging and Intervention Center Fuwai Hospital State Key Laboratory of Cardiovascular Disease Beijing 100037 China

To the Editor： A 43-year-old man diagnosed with dilated cardiomyopathy 6 years prior visited our institution recently because of worsened chest congestion with shortness of breath and abdominal distension. The patient had a history of diabetes. His electrocardiography （ECG） demonstrated a sinus rhythm with an mtraventricular conduction disturbance, an atypical left bundle branch block, and a QRS interval of 160 ms. Echocardiographic findings were consistent with dilated cardiomyopathy [bicentric type, Figure la], in which the left atrial diameter was 44 ram, the left ventricular end-diastolic diameter was 78 mm, and the left ventricular ejection fiaction was 30%. The final diagnosis was New York Heart Association Grade Ⅲ dilated cardiomyopathy. To achieve a good prognosis, improve exercise tolerance, and prevent sudden death, cardiac resynchronization therapy （CRT） with defibrillator implantation was advised. However, coronary sinus （CS） abnormalities were observed during the implantation operation. Therefore, it was forced to stop the operation and a cardiac computed tomography angiography （CTA） evaluation of the abnormalities was arranged.

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“双碳”目标下促进能源行业数字化转型的金融政策研究

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经济研究参考 2024年第4期 108-124页

作者：武普照魏甜中国环保产业研究院山东财经大学财政税务学院山东财经大学金融学院

在“双碳”目标下,我国能源数字化转型迫在眉睫。能源产业是实现“双碳”目标的主要战场,能源行业数字化转型是其重要的实现路径及战略选择。本文梳理了相关文献,并对能源产业数字化转型现状和相关金融政策进行了整理,重点分析了金融科... 详细信息

在“双碳”目标下,我国能源数字化转型迫在眉睫。能源产业是实现“双碳”目标的主要战场,能源行业数字化转型是其重要的实现路径及战略选择。本文梳理了相关文献,并对能源产业数字化转型现状和相关金融政策进行了整理,重点分析了金融科技和绿色信贷影响能源行业数字化转型的作用机制。本文以2012~2021年A股能源相关行业上市公司为研究样本,设定数字化转型程度(DCG)为被解释变量,金融科技水平和绿色信贷贷款余额为核心解释变量,通过建立面板数据模型,探索金融科技发展水平与绿色信贷对能源行业数字化转型的影响,分析得出以下结论:第一,提高金融科技发展水平和增加绿色信贷能够显著促进能源行业数字化转型;第二,政府干预在促进能源行业数字化转型中起到显著的中介作用。这表明金融科技在能源行业数字化转型过程中扮演着重要角色,我国金融机构也可以通过增加绿色信贷余额等方式助力能源行业数字化转型,最终致力于“双碳”目标的实现。

关键词：能源行业数字化转型金融科技绿色信贷

Technetium-99m-labeled annexin V imaging for detecting prosthetic joint infection in a rabbit model

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The Journal of Biomedical Research 2015年第3期29卷 224-231页

作者： Cheng Tang Feng Wang Yanjie Hou Shanshan Lu wei tian Yan Xu Chengzhe Jin Liming Wang Department of Orthopedic Surgery Nanjing First HospitalNanjing Medical University Department of Nuclear Medicine Nanjing First HospitalNanjing Medical University Department of Radiation Oncology the First Affiliated Hospital of Shanxi Medical University Department of Radiology the First Affiliated Hospital of Nanjing Medical University

Accurate and timely diagnosis of prosthetic joint infection is essential to initiate early treatment and achieve a favorable outcome. In this study, we used a rabbit model to assess the feasibility of technetium-99m-labeled annexin V for detecting prosthetic joint infection. Right knee arthroplasty was performed on 24 New Zealand rabbits. After surgery, methicillin-susceptible Staphylococcus aureus was intra-articularly injected to create a model of prosthetic joint infection （the infected group, n = 12）. Rabbits in the control group were injected with sterile saline （n= 12）. Seven and 21 days after surgery, technetium-99m-labeled annexin V imaging was per- formed in 6 rabbits of each group. Images were acquired 1 and 4 hours after injection of technetium-99m- labeled annexin V （150 MBq）. The operated-to-normal-knee activity ratios were calculated for quantitative ana- lysis. Seven days after surgery, increased technetium-99m-labeled annexin V uptake was observed in all cases. However, at 21 days a notable decrease was found in the control group, but not in the infected group. The operated-to-normal-knee activity ratios of the infected group were 1.84 ±0.29 in the early phase and 2.19 ±0.34 in the delay phase, both of which were significantly higher than those of the control group （P=0.03 and P=0.02）. The receiver operator characteristic curve analysis showed that the operated-to-normal-knee activity ratios of the delay phase at 21 days was the best indicator, with an accuracy of 80%. In conclusion, technetium- 99m-labeled annexin V imaging could effectively distinguish an infected prosthetic joint from an uninfected prosthetic joint in a rabbit model.

关键词： prosthetic joint infection annexin V technetium-99m diagnosis

Quality Control of Zhuang Medicine Xiaoyan Zhiyang Lotion

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Medicinal Plant 2023年第5期14卷 25-28页

作者： Xian PENG Zhenying FU Jiangcun wei Yinghong HUANG Xianyi SHI wei tian Wen ZHONG Guodong HUANG Guangxi International Zhuang Medicine Hospital Nanning 530201China

[Objectives]To establish the TLC identification methods of Llicis Rotundae Cortex and Mahoniae Caulis and the determination method of syringin content in Zhuang Medicine Xiaoyan Zhiyang Lotion.[Methods]Thin layer chromatography(TLC)was used to qualitatively identify Llicis Rotundae Cortex and Mahoniae Caulis in Zhuang Medicine Xiaoyan Zhiyang Lotion.The quantitative analysis of syringin in Zhuang Medicine Xiaoyan Zhiyang Lotion was carried out by high-performance liquid chromatography(HPLC).Chromatographic conditions are as follows:Luna 5μm C_(18)((2)100 A(250 mm×4.6 mm,5μm)column was adopted;acetonitrile(10%)-water(90%)was as the mobile phase,and the flow rate was 1.0 mL/min;the detection wavelength was 265 nm;the sample size was 5μL;the column temperature was 30℃.[Results]Syringin had a good linear relationship with its peak area in the range of 0.190-2.856μg(R^(2)=0.9995).The RSD values of precision,stability and repeatability experiments were all lower than 2.5%,and the average sampling recovery rate(n=6)was 100.37%(RSD=-0.88%).[Conclusions]The method had the advantages of simple operation,strong specificity,good repeatability and stability,and can be used for the quality control of Zhuang Medicine Xiaoyan Zhiyang Lotion.

关键词： Zhuang Medicine Xiaoyan Zhiyang Lotion Thin layer chromatography(TLC) High-performance liquid chromatography(HPLC) Quality control

小波包与遗传算法优化BP神经网络相结合的井架钢结构损伤识别

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机械科学与技术 2024年第1期43卷 39-44页

作者：韩东颖田伟黄岩朱国庆燕山大学车辆与能源学院河北秦皇岛066004

井架钢结构损伤影响其承载安全性,为快速、准确对损伤位置进行识别,提出小波包与遗传算法优化BP神经网络相结合的井架钢结构损伤识别方法。首先利用小波包处理非平稳振动信号的优良性能对原始振动信号进行特征提取,获得表征井架钢结构... 详细信息

井架钢结构损伤影响其承载安全性,为快速、准确对损伤位置进行识别,提出小波包与遗传算法优化BP神经网络相结合的井架钢结构损伤识别方法。首先利用小波包处理非平稳振动信号的优良性能对原始振动信号进行特征提取,获得表征井架钢结构损伤的信息;再通过特征参数建立数据集训练并测试井架钢结构损伤识别模型,该模型结合遗传算法自身特点改善了传统BP神经网络的不足。本文识别方法不需要损伤前的数据特征进行对比,便可对损伤位置进行确定。经过对石油井架钢结构模型实验验证:该方法对井架钢结构损伤识别准确率超过90%,相对于BP网络识别准确率以及识别速度均有所提高。

关键词：井架钢结构损伤小波包遗传算法优化的BP神经网络

陶对陶全髋置换后炎性假瘤并脱位:1例报告和综述

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中国矫形外科杂志 2024年第1期32卷 50-55页

作者：孙家豪朱家庆夏天卫沈计荣南京中医药大学附属医院骨伤科江苏南京210004

本文报道了1例陶对陶(ceramic on ceramic,CoC)全髋置换术(total hip arthroplasty,THA)后炎性假瘤(inflammatory pseudotumor,IP)并发髋关节后脱位的患者,该患者CoC THA术后8年,因深蹲致左髋关节假体脱位,闭合复位7次失败后采用切开复... 详细信息

本文报道了1例陶对陶(ceramic on ceramic,CoC)全髋置换术(total hip arthroplasty,THA)后炎性假瘤(inflammatory pseudotumor,IP)并发髋关节后脱位的患者,该患者CoC THA术后8年,因深蹲致左髋关节假体脱位,闭合复位7次失败后采用切开复位术治疗,切开后见陶瓷球头存在线性磨损,将髋臼杯及四周数十枚IP取出后将股骨假体成功复位。通过对该病例的分析,作者认为尽管CoC假体磨损率低且所产生的陶瓷颗粒生物活性极差,较少引起细胞反应及炎症的发生,但其并不完全是惰性的,可能会导致不良局部组织反应(adverse local tissue reaction,ALTR)及IP的发生。此外,本文通过文献回顾,着重介绍CoC THA术后IP出现的原因、早期诊断及治疗方法,旨在为临床提供参考。

关键词：陶对陶假体全髋关节置换术后炎性假瘤个案报道

Snow Cover Mapping for Mountainous Areas by Fusion of MODIS L1B and Geographic Data Based on Stacked Denoising Auto-Encoders

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Computers, Materials & Continua 2018年第10期57卷 49-68页

作者： Xi Kan Yonghong Zhang Linglong Zhu Liming Xiao Jiangeng Wang wei tian Haowen Tan School of Atmospheric Science Nanjing University of Information Science and TechnologyNanjing210044China School of Information and Control Nanjing University of Information Science and TechnologyNanjing210044China School of Atmospheric Physics Nanjing University of Information Science and TechnologyNanjing210044China School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Department of Computer Engineering Chosun UniversityGwangju501-759South Korea

Snow cover plays an important role in meteorological and hydrological researches.However,the accuracies of currently available snow cover products are significantly lower in mountainous areas than in plains,due to the serious snow/cloud confusion problem caused by high altitude and complex topography.Aiming at this problem,an improved snow cover mapping approach for mountainous areas was proposed and applied in Qinghai-Tibetan Plateau.In this work,a deep learning framework named Stacked Denoising Auto-Encoders(SDAE)was employed to fuse the MODIS multispectral images and various geographic datasets,which are then classified into three categories:Snow,cloud and snow-free land.Moreover,two independent SDAE models were trained for snow mapping in snow and snow-free seasons respectively in response to the seasonal variations of meteorological conditions.The proposed approach was verified using in-situ snow depth records,and compared to the most widely used snow products MOD10A1 and MYD10A1.The comparison results show that our method got the best performance:Overall accuracy of 98.95%and F-measure of 73.84%.The results indicated that our method can effectively improve the snow recognition accuracy,and it can be further extended to other multi-source remote sensing image classification issues.

关键词： Snow cover remote sensing deep learning Qinghai-Tibetan Plateau MODIS L1B

Droop control method for load share and voltage regulation in high-voltage microgrids

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Journal of Modern Power Systems and Clean Energy 2016年第1期4卷 76-86页

作者： Zhikang SHUAI Shanglin MO Jun WANG Z.John SHEN wei tian Yan FENG National Power Transformation and Control Engineering Technology Research Center Hunan UniversityChangsha 410082China Electrical and Computer Engineering Illinois Institute of TechnologyChicagoIL 60616USA

When the line impedance is considered in the microgrid, the accuracy of load sharing will decrease. In this paper, the impact of line impedance on the accuracy of load sharing is analyzed. A robust droop control for a highvoltage microgrid is proposed based on the signal detection on the high-voltage side of the coupling transformer. For a high-voltage microgrid, the equivalent impedance of coupling transformer connecting distributed generator with the grid is usually the dominate factor. Compared with the conventional droop control strategy, the proposed control method in this paper detects the feedback signal from the high-voltage side of the coupling transformer. The impact of line impedance on the load sharing accuracy can be mitigated significantly. The proposed droop control only changes the detection point of the feedback signal, thus it is easy to be implemented. The PSCAD/EMTDC simulation results show the effectiveness of the proposed robust droop control concept in load sharing and voltage regulation with highly accuracy.

关键词： Microgrid High-voltage Coupling transformer Droop control Accreted load sharing Voltage regulation

Low-dimensional nanomaterial/Si heterostructure-based photodetectors

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InfoMat 2019年第2期1卷 140-163页

作者： wei tian Haoxuan Sun Liang Chen Peihua Wangyang Xinrui Chen Jie Xiong Liang Li School of Physical Science and Technology Center for Energy Conversion Materials&Physics(CECMP)Soochow UniversitySuzhouChina State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengduChina

Due to its excellent electrical and optical features,silicon(Si)is highly attractive for photodetector applications.The design and fabrication of low-dimensional semiconductor/Si hybrid heterostructures provide a great platform for fabricating high-performance photodetectors,thereby overcoming the inherent limitations of Si.This review focuses on state-of-the-art Si heterostructure-based photodetectors.It starts with the introduction of three different device configurations,that is,photoconductors,photodiodes,and phototransistors.Their working mechanisms and relative pros and cons are introduced,and the figures of merit of photodetectors are summarized.Then,we discuss the device physics/design,photodetection performance,and optimization strategies for Si-based photodetectors.Finally,future challenges in the photodetector applications of Si-based hybrid heterostructures are discussed.

关键词： heterostructure nanomaterials photodetector Si

药用植物生物信息数据库及生产布局可视化分析平台(以川产道地药材为例)

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中国中药杂志 2024年第8期49卷 1989-1995页

作者：华桦田韦韦马炅妤王云峰王亚强严志祥赵军宁四川省中医药转化医学中心四川省中医药科学院国家中医药管理局中药质量生物学评价重点研究室中医药转化医学四川省重点实验室四川省道地药材系统开发工程技术研究中心四川省道地药材形成原理与品质评价工程研究中心四川成都610041 自然资源部第三地理信息制图院数字城市工程中心四川成都610100 中国科学院微电子研究所数字健康芯片与系统实验室北京100029 成都信息工程大学软件工程学院四川成都610225 国家药品监督管理局药品监管科学全国重点实验室北京100037

目前对药用植物的研究和认识已进入到跨组学、跨学科智能新阶段,迫切需要将这些大数据进行整合并交互应用,形成统一、多层次的研究体系和大数据平台。道地药材作为一类重要的药用植物来源,是中医药特有的品质优劣概念和综合判别标准。... 详细信息

目前对药用植物的研究和认识已进入到跨组学、跨学科智能新阶段,迫切需要将这些大数据进行整合并交互应用,形成统一、多层次的研究体系和大数据平台。道地药材作为一类重要的药用植物来源,是中医药特有的品质优劣概念和综合判别标准。国内外已建立中医药百科全书数据库(ETCM)、全球药典基因组数据库(GPGD)等为代表的数据库平台,但未能及时反映新近的大量地理资源、表型、化学成分和遗传信息等多维度数据。四川省是著名的“中医之乡,中药之库”,据四川省第四次全国中药资源普最新统计中药品种数超过8000种,川产道地药材品种86种,是我国药用植物多样性最具代表性的地区。该文基于四川省第四次全国中药资源普查最新数据及相关成果,以川产道地药材为例构建药用植物生物信息数据库及生产布局可视化分析平台,涵盖了地理资源数据、表型数据、化学成分数据和遗传资源数据等,有效地将川产道地药材多维度数据统一整合,并提供不同层面的数据交互应用。该平台不仅是首个针对川产道地药材的大型多维数据库和可视化平台,可为川产道地药材种质资源鉴定、药效成分生物合成途径解析、优良品种分子育种等奠定基础。该平台提供的以川产道地药材为代表的药用植物资源基础信息和数据支撑,对我国及全球药用植物开发利用也不无裨益。

关键词：药用植物川产道地药材生产布局生物信息数据化可视化