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当代青花瓷画表现性的影响因素探究

陶瓷 2024年第3期 20-22页

作者：程宁景德镇陶瓷大学江西景德镇333000

笔者从青花瓷画的发展进程入手,分析中国传统绘画和西方现代绘画与美学思想在青花瓷画发展过程中对其产生的影响,发现传统青花瓷画的表现性与文人画趋于一致,而当代青花瓷画的表现性同时受西方现代绘画与改革后的中国画影响,西方现代绘... 详细信息

笔者从青花瓷画的发展进程入手,分析中国传统绘画和西方现代绘画与美学思想在青花瓷画发展过程中对其产生的影响,发现传统青花瓷画的表现性与文人画趋于一致,而当代青花瓷画的表现性同时受西方现代绘画与改革后的中国画影响,西方现代绘画的传入使青花瓷画的表现形式更加多元化。

关键词：青花中国传统绘画西方现代绘画表现性

基于电路理论的扬子鳄保护区块间生态廊道和节点识别研究

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长江流域资源与环境 2024年第6期33卷 1228-1238页

作者：吴楠王甜程鹏陈凝张浏宋婷安徽省生态环境科学研究院安徽合肥230061 安徽省宣城市生态环境局安徽宣城242000 中国环境科学研究院国家环境保护区域生态过程与功能评估重点实验室北京100012

野外适宜栖息地的丧失和破碎化是扬子鳄保护面临的最大挑战,构建并维护好栖息地间的生态廊道是重要的保护对策。基于电路理论,利用Linkage Mapper工具和Circuitscape程序,以安徽扬子鳄国家级自然保护区的8个区块作为生态源地,选取6个扬... 详细信息

野外适宜栖息地的丧失和破碎化是扬子鳄保护面临的最大挑战,构建并维护好栖息地间的生态廊道是重要的保护对策。基于电路理论,利用Linkage Mapper工具和Circuitscape程序,以安徽扬子鳄国家级自然保护区的8个区块作为生态源地,选取6个扬子鳄生境适宜性要素来构建综合阻力面,模拟区块间的生态廊道,识别生态“夹点”和“障碍点”,针对性提出保护和修复策略以优化保护区块间的生态连通性。研究结果如下:(1)识别生态廊道共14条,呈“东长西短”状态。关键生态廊道7条,有效连通了研究区西南部的长乐、中桥、双坑和红星片区;(2)识别生态夹点12处,面积82.35 km^(2)。提出了自然保护为主,辅以扬子鳄适宜生境营造的保护策略,同时要关注部分夹点受人类活动干扰的风险;(3)识别生态障碍点19处,面积92.49 km^(2)。主要位于交通干线、城镇用地或周围辐射区域。提出了设置动物迁徙通道、推广生态农业、优化居民点布局、化解人鳄矛盾等修复策略。

关键词：电路理论扬子鳄生态廊道生态夹点生态障碍点保护修复策略

微流体压力驱动的扫描电化学池显微镜长时间稳定成像

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光学精密工程 2024年第10期32卷 1528-1537页

作者：王志武庄健宁少慧程磊郑强强太原科技大学机械工程学院山西太原030024 西安交通大学机械工程学院陕西西安710049

为了提升扫描电化学池显微镜(SECCM)对复杂形貌表面电化学活性成像能力,以及避免探针尖端微液滴蒸发和结晶,进而实现长时间、稳定成像,构建了基于纳米移液管探针微流体压力驱动的扫描电化学成像系统。对探针尖端开口处的微液滴流量补偿... 详细信息

为了提升扫描电化学池显微镜(SECCM)对复杂形貌表面电化学活性成像能力,以及避免探针尖端微液滴蒸发和结晶,进而实现长时间、稳定成像,构建了基于纳米移液管探针微流体压力驱动的扫描电化学成像系统。对探针尖端开口处的微液滴流量补偿、复杂表面形貌同步电化学活性成像可靠性等进行了研究。首先,构建了基于移液管探针微流体压力驱动的SECCM扫描成像系统。接着,建立了移液管微流体压力驱动的探针检测数值模型,研究了探针末端背压与探针尖端流体流量间的关系。然后,在理论模型分析的基础上,实验测试了微流体驱动新方法对具有较大表面形貌特征的玻碳电极材料和铝合金材料表面高分辨率形貌和电化学活性同步成像能力。实验结果表明:新方法可对硬质材料表面(样品表面高度起伏为探针开口直径20倍以上)实现长时间、稳定的电化学成像。新系统的研制将为研究人员在材料电化学、金属材料腐蚀研究提供强有力的工具。

关键词：扫描电化学池显微镜局部高分辨率循环伏安测量形貌电化学活性

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共价有机框架材料应用进展

化学通报 2024年第2期87卷 129-140页

作者：程媛媛马陇君安宁兰州交通大学化学学院兰州730070

共价有机框架材料(COFs)由C、H、N、O等轻质元素组成,是一种通过共价键连接的晶型材料。近十年来发展迅速,受到研究人员的密切关注。COFs具有良好的稳定性、低密度、规则有序的孔道结构、结构的可预测性和可设计性等优点,被广泛应用到... 详细信息

共价有机框架材料(COFs)由C、H、N、O等轻质元素组成,是一种通过共价键连接的晶型材料。近十年来发展迅速,受到研究人员的密切关注。COFs具有良好的稳定性、低密度、规则有序的孔道结构、结构的可预测性和可设计性等优点,被广泛应用到吸附、催化、储能、生物传感器和荧光识别等重要领域,但其存在合成困难、合成方法有限等问题。文章回顾了COFs材料的发展背景,选取吸附、催化、储能这三个方面的应用进行详细说明,分析COFs材料能被应用到这三个领域的原因,列举最新的研究成果,并阐述了COFs与特定分子结合在不同条件下应用的机理,总结各领域应用的异同,分析在应用中存在的主要问题。最后,对于COFs材料自身以及在应用中存在的问题提出针对性的建议。

关键词：共价有机框架材料吸附催化储能荧光识别

基于长短期记忆神经网络模型的多步滚动预测方法

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科学技术与工程 2024年第19期24卷 8356-8361页

作者：蔡宁泊张程王伟中国民用航空上海航空器适航审定中心上海200335 中国民航大学安全科学与工程学院天津300300

飞机着陆阶段是各飞行阶段中风险最大的阶段之一,可能会遇到阵风、跑道入侵、硬着陆和跑道超限等不安全事件。较长的着陆距离会增加着不安全事件发生的风险。为了降低发生不安全事件的风险,利用长短期记忆(long short term memory,LSTM... 详细信息

飞机着陆阶段是各飞行阶段中风险最大的阶段之一,可能会遇到阵风、跑道入侵、硬着陆和跑道超限等不安全事件。较长的着陆距离会增加着不安全事件发生的风险。为了降低发生不安全事件的风险,利用长短期记忆(long short term memory,LSTM)神经网络捕获时间序列飞行数据对时间的依赖性,研究了一种多步滚动预测策略来预测飞机着陆距离以进行实时预警,飞机着陆预测模型用于预测着陆距离。结果表明:与单步预测相比,该方法可以更好地捕捉飞行参数的时间变化。通过多组仿真实验验证基于LSTM神经网络模型的多步滚动预测方法的准确性与有效性。

关键词：着陆阶段着陆距离 LSTM神经网络滚动预测

Development of a novel difficulty scoring system for laparoscopic liver resection procedure in patients with intrahepatic duct stones

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World Journal of Gastrointestinal Surgery 2024年第10期16卷 3133-3141页

作者： Bo Luo Si-Kai Wu Ke Zhang Pei-Hong Wang Wei-Wei Chen ning Fu Zhi-Ming Yang Jing-cheng Hao Department of Hepatobiliary and Vascular Surgery The First Affiliated Hospital of Chengdu Medical CollegeChengdu 610500Sichuan ProvinceChina Department of General Surgery The Western Theater Command General HospitalChengdu 610500Sichuan ProvinceChina Department of Hepatobiliary and Pancreatic Surgery Clinical Medical College and The First Affiliated Hospital of Chengdu Medical CollegeChengdu 610500Sichuan ProvinceChina

BACKGROUND For intrahepatic duct(IHD)stones,laparoscopic liver resection(LLR)is currently a reliable ***,the current LLR difficulty scoring system(DSS)is only available for patients with hepatocellular *** To explore the development of a DSS for IHD stone patients with LLR and the validation of its *** We used clinical data from 80 patients who received LLR for IHD ***-six of these patients were used in multiple linear regression to construct a scoring *** 34 patients from different centers were used as external *** completeness of our DSS was then evaluated in patients with varying degrees of surgical difficulty based on documented surgical outcomes in the study group of *** The following five predictors were ultimately included and scored by calculating the weighted contribution of each factor to the prediction of operative time in the training cohort:Location of stones,number of stones≥3,stones located in the bile ducts of several grades,previous biliary surgery less than twice,distal bile duct ***,the data set was validated using a DSS developed from the *** following variables were identified as statistically significant in external validation:Operative time,blood loss,intraoperative transfusion,postoperative alanine aminotransferase,and Clavien-Dindo grading≥*** variables demonstrated statistically significant differences in patients with three or more *** Patients with IHD stones have varying degrees of surgical difficulty,and the newly developed DSS can be validated with external data to effectively predict risks and complications after LLR surgery.

关键词： Intrahepatic duct stones Laparoscopic liver resection Difficulty scoring system Outcome Complication

Recent progress of radionuclides separation by porous materials

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Science China Chemistry 2024年第11期67卷 3515-3577页

作者： Yinghui Xie Long Yu Long Chen cheng Chen Li Wang Fenglei Liu Yun Liao Peng Zhang Tao Chen Yihui Yuan Yuexiang Lu Boyang Huang Hui Yang Suhua Wang Shuao Wang Lijian Ma Feng Luo Yunhai Liu Baowei Hu Hongqing Wang Duoqiang Pan Wenkun Zhu ning Wang Zhe Wang Liang Mao Shengqian Ma Xiangke Wang Guangdong Provincial Key Laboratory for Green Agricultural Production and Intelligent Equipment School of Environmental Science and Engineering Guangdong University of Petrochemical Technology School of Life Science Shaoxing University College of Environmental Science and Engineering North China Electric Power University State Key Laboratory of Radiation Medicine and Protection School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions Soochow University College of Chemistry Sichuan University School of Chemistry and Materials Science East China University of Technology School of Chemistry and Chemical Engineering University of South China Frontiers Science Center for Rare Isotopes Lanzhou University State Key Laboratory of Environment-friendly Energy Materials National Co-innovation Center for Nuclear Waste Disposal and Environmental Safety Sichuan Civil-military Integration Institute School of National Defence & Nuclear Science and TechnologySouthwest University of Science and Technology State Key Laboratory of Marine Resource Utilization in South China Sea Collaborative Innovation Center of Marine Science and Technology Hainan University Institute of Nuclear and New Energy Technology Tsinghua University State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Department of Chemistry University of North Texas

The separation of radionuclides is critical for the sustainable development of nuclear energy. It is urgent to design and prepare functionalized materials for efficient radionuclides separation. Porous materials are considered excellent candidates for the separation of radionuclides under complex conditions due to their high specific surface areas, tunable pore structures and controllable functionalities. In this review, we summarized the design, preparation and functionalization of porous materials and their application for separation of radionuclides in the past five years, discussed the separation performance and analyzed the structure-activity relationship between various radionuclides and porous materials, and systematically clarified their characterization and mechanism of different type porous materials. We also introduced the detection, irradiation and chemical toxicity of different reflective radionuclides.

关键词： porous materials radionuclides detection separation radiotoxicity interaction mechanism

2.94μm LiNbO_(3)声光调Q Er:YAG激光输出脉冲特性

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物理学报 2024年第4期73卷 186-191页

作者：王滔宁姜玲玲程庭清王礼江海河中国科学院合肥物质科学研究院健康与医学技术研究所合肥230031 中国科学技术大学合肥230026 中国科学院合肥物质科学研究院安徽光学精密机械研究所合肥230031

2.94μm纳秒铒激光是宽调谐中红外激光和临床医疗研究中重要的固体激光源.本文研制了新型LiNbO_(3)声光调Q Er:YAG激光器,研究了20 Hz重复频率下不同调Q延迟时间和耦合腔镜反射率对激光输出脉冲特性的影响规律.根据测量激光器的热透镜... 详细信息

2.94μm纳秒铒激光是宽调谐中红外激光和临床医疗研究中重要的固体激光源.本文研制了新型LiNbO_(3)声光调Q Er:YAG激光器,研究了20 Hz重复频率下不同调Q延迟时间和耦合腔镜反射率对激光输出脉冲特性的影响规律.根据测量激光器的热透镜焦距设计了凹凸谐振腔补偿热透镜效应,获得了激光单脉冲能量为34.68 mJ、脉冲宽度为119.9 ns的调Q输出,相应的峰值功率为289.24 kW,与平平腔相比输出能量提高了2.09倍.据我们所知,这是目前声光调Q Er:YAG激光器中获得的最高能量,可为进一步研究宽调谐中红外激光技术提供新的手段.

关键词：固体激光器 Er:YAG LiNbO_(3)声光调Q开关

Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy

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World Journal of Clinical Cases 2024年第20期12卷 4091-4107页

作者： Yu-ning Li Jia-Lin Su Shu-Hua Tan Xing-Long Chen Tian-Li cheng Zhou Jiang Yong-Zhong Luo Le-Meng Zhang School of Life and Health Sciences Hunan University of Science and TechnologyXiangtan 411201Hunan ProvinceChina Department of Thoracic Medicine Hunan Cancer HospitalChangsha 410013Hunan ProvinceChina

BACKGROUND Non-small cell lung cancer(NSCLC)is the primary form of lung cancer,and the combination of chemotherapy with immunotherapy offers promising treatment options for patients suffering from this ***,the emergence of drug resistance significantly limits the effectiveness of these therapeutic ***,it is imperative to devise methods for accurately detecting and evaluating the efficacy of these *** To identify the metabolic signatures associated with neutrophil extracellular traps(NETs)and chemoimmunotherapy efficacy in NSCLC *** In total,159 NSCLC patients undergoing first-line chemoimmunotherapy were *** first investigated the characteristics influencing clinical *** levels of NETs and cytokines were measured by commercial *** chromatography tandem mass spectrometry quantified plasma metabolites,and differential metabolites were *** absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest algorithms were *** using plasma metabolic profiles and machine learning algorithms,predictive metabolic signatures were *** First,the levels of circulating interleukin-8,neutrophil-to-lymphocyte ratio,and NETs were closely related to poor efficacy of first-line *** were classed into a low NET group or a high NET group.A total of 54 differential plasma metabolites were *** metabolites were primarily involved in arachidonic acid and purine *** key metabolites were identified as crucial variables,including 8,9-epoxyeicosatrienoic acid,L-malate,and bis(monoacylglycerol)phosphate(18:1/16:0).Using metabolomic sequencing data and machine learning methods,key metabolic signatures were screened to predict NET level as well as chemoimmunotherapy *** The identified metabolic signatures may effectively distinguish NET levels and predict clinical

关键词： Non-small cell lung cancer Chemoimmunotherapy Neutrophil extracellular traps Metabolomics Machine learning