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A temperature-activated nanocomposite metamaterial absorber with a wide tunability

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Nano Research 2018年第7期11卷 3931-3942页

作者： Weiwei Li Lingyu Zhao Zhaohe dai Hao jin Feng Duan Junchao Liu Zhihui Zeng Jun Zhao Zhong Zhang CAS Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing 100190 China University of Chinese Academy of Sciences Beijing 100149 China

Novel thin and flexible broadband electromagnetic microwave absorbers are realized with nanocomposites and achieve a wide frequency tunability （from 10 to 17.2 GHz） by actively adjusting the resistance. The proposed absorbers are fabricated by scalable screen printing of optimized nanoparticle ink onto the flexible dielectric composite substrates. Based on the shape memory effects of the substrate and piezoresistive effect of the nanocomposite frequency selective surface, a controllable sheet resistance, and thereby tunable wave absorption performance, can be realized in a temperature-activated and dynamically stable manner. The results provide new dimensions for the design of active electromagnetic devices by utilizing previously underestimated intrinsic properties of the artificial materials and the smart behavior of polymer-based nanocomposites.

关键词： composite materials flexible electronics metamaterials polymeric materials shape memory polymers

基于Scrum模式的高师“中学化学实验教学研究”课程思政教学探索与实践

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化学教育（中英文） 2024年第16期45卷 44-54页

作者：唐劲军林小荣广西师范大学化学与药学学院广西桂林541004

根据课程特点,从教学理念、教学内容、教学方式与方法、教学评价等维度构建基于Scrum模式的课程思政教学框架,形成教学内容、思政元素、育人目标、内容设计相对应的设计流程。以“燃料电池实验”为例,将思政要素有机融入课程育人过程,... 详细信息

根据课程特点,从教学理念、教学内容、教学方式与方法、教学评价等维度构建基于Scrum模式的课程思政教学框架,形成教学内容、思政元素、育人目标、内容设计相对应的设计流程。以“燃料电池实验”为例,将思政要素有机融入课程育人过程,为师范专业课程思政建设提供参考。

关键词： Scrum 中学化学实验教学研究课程思政燃料电池实验

Evaluation of development potential of pumped hydroelectric storage and geothermal utilization system in abandoned coal mine

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Journal of Central South University 2024年第8期31卷 2872-2890页

作者： WANG Meng GUO Ping-ye jin Xin DANG Guan-jie GUO Yi-chen LI Yi State Key Laboratory for Tunnel Engineering China University of Mining and Technology-BeijingBeijing 100083China School of Mechanics and Civil Engineering China University of Mining and Technology-BeijingBgijing 100083China

Every year in China,a significant number of mines are closed or *** pumped hydroelectric storage(PHS)and geothermal utilization are vital means to efficiently repurpose resources in abandoned *** this work,the development potentials of the PHS and geothermal utilization systems were *** the geological conditions and meteorological data available of Jiahe abandoned mine,a simple evaluation model for PHS and geothermal utilization was *** average efficiency of the PHS system exceeds 70%and the regulatable energy of a unit volume is over 1.53 kW·h/m^(3).The PHS system achieves optimal performance when the wind/solar power ratio reaches 0.6 and 0.3 in daily and year scale,*** the geothermal utilization system,the outlet temperature and heat production are significantly affected by the injection flow *** heat production performance is more stable at lower rate flow,and the proportion of heat production is higher in the initial stage at greater flow *** the operating time increases,the proportion of heat production gradually *** cyclic heat storage status has obvious advantages in heat generation and ***,the energy-saving and emission reduction benefits of PHS and geothermal utilization systems were calculated.

关键词： abandoned mine underground reservoir wind/solar energy pumped hydroelectric storage geothermal

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信号增强网络驱动的调制识别

电信科学 2024年第4期40卷 139-150页

作者：程风云周金天津财经大学理工学院天津300222

现有基于深度学习的调制识别在训练阶段需要大量IQ信号样本,而复杂电磁环境中很难获取大量样本,导致基于深度学习的调制识别算法泛化性能下降。针对网络泛化能力差的问题,提出了一种基于信号增强的调制识别(signal enhancement based mo... 详细信息

现有基于深度学习的调制识别在训练阶段需要大量IQ信号样本,而复杂电磁环境中很难获取大量样本,导致基于深度学习的调制识别算法泛化性能下降。针对网络泛化能力差的问题,提出了一种基于信号增强的调制识别(signal enhancement based modulation recognition,SEBMR)算法。首先,设计了捕获IQ信号全局特征的特征提取及重构模块;其次,提出了基于辅助分类生成对抗网络(auxiliary classifier generative adversarial network,ACGAN)的IQ信号增强网络,实现了样本数量及质量的双重增强;最后,利用支持向量机算法实现了调制方式识别分类。为了实现对复杂信道下调试信号的识别,训练时采用表征全局特征的重构信号,测试时采用经历无线衰落的IQ基带信号。实验结果表明,提出的方法相比现有的基于长短期记忆(LSTM)网络、卷积神经网络(CNN)、注意力机制等识别方法,在小样本训练集、衰落信道环境下可获得更优的识别准确度。

关键词：调制识别注意力机制信号增强生成对抗网络

宗越鞠丸之意探究原发性高血压合并焦虑抑郁状态的防治思路

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实用中医内科杂志 2023年第9期37卷 35-38页

作者：张泽于睿张瀚文张欢梁健高钰林戴劲李可大辽宁中医药大学辽宁沈阳110847 辽宁中医药大学附属医院辽宁沈阳110032

原发性高血压合并焦虑抑郁状态已成为现代社会较为常见的一种“双心疾病”,其患病趋势随社会压力加剧等相关因素迅猛发展,严重威胁人类身心健康。如果缺乏有效的干预措施,不仅会影响患者个人的生存质量,也必将为社会经济带来沉重负担。... 详细信息

原发性高血压合并焦虑抑郁状态已成为现代社会较为常见的一种“双心疾病”,其患病趋势随社会压力加剧等相关因素迅猛发展,严重威胁人类身心健康。如果缺乏有效的干预措施,不仅会影响患者个人的生存质量,也必将为社会经济带来沉重负担。越鞠丸为中医药“解郁”的代表方剂,文章以越鞠丸为“切入点”,通过中医理论探究及西医机制探析,为临床治疗原发性高血压合并焦虑抑郁状态提供新的“突破口”。同时阐述中医药从“双心”角度,通过多途径,多靶点治疗原发性高血压合并焦虑抑郁状态的优势特色。

关键词：越鞠丸原发性高血压合并焦虑抑郁状态脑源性神经营养因子磷脂酰肌醇-3激酶/蛋白激酶B 异病同治

Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network

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Journal of Computer Science & Technology 2024年第1期39卷 227-242页

作者：崔诗尧郁博文从鑫柳厅文谭庆丰时金桥 Institute of Information Engineering Chinese Academy of SciencesBeijing 100190China School of Cyber Security University of Chinese Academy of SciencesBeijing 100049China Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou 510006China School of Cyber Security Beijing University of Posts and TelecommunicationsBeijing 100088China

Event detection(ED)seeks to recognize event triggers and classify them into the predefined event *** ED is formulated as a character-level task owing to the uncertain word *** methods try to incorpo-rate word-level information into characters to enhance their ***,they experience two ***,they fail to incorporate word-level information into each character the word encompasses,causing the insufficient word-charac-ter interaction ***,they struggle to distinguish events of similar types with limited annotated instances,which is called the event confusing *** paper proposes a novel model named Label-Aware Heterogeneous Graph Attention Network(L-HGAT)to address these two ***,we first build a heterogeneous graph of two node types and three edge types to maximally preserve word-character interactions,and then deploy a heterogeneous graph attention network to enhance the semantic propagation between characters and ***,we design a pushing-away game to enlarge the predicting gap between the ground-truth event type and its confusing counterpart for each *** results show that our L-HGAT model consistently achieves superior performance over prior competitive methods.

关键词： Chinese event detection heterogeneous graph attention network(HGAT) label embedding

饲粮中葛藤不同添加量对肉兔养分表观消化率、胃肠道发育及消化酶活性的影响

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草业学报 2024年第4期33卷 199-209页

作者：高承芳桑雷孙世坤陈冬金王锦祥谢喜平福建省农业科学院畜牧兽医研究所福建省畜禽遗传育种重点实验室福建福州350013

为探讨葛藤在肉兔饲粮中的应用效果,开展葛藤的常规营养成分分析,选取35±2日龄体重(0.88±0.13 kg)相近的断奶伊拉兔肉兔200只,随机分成4组,每组5个重复,每个重复10只,分别饲喂添加0(对照组)、15%、25%、35%葛藤的试验饲粮。预试期7 d... 详细信息

为探讨葛藤在肉兔饲粮中的应用效果,开展葛藤的常规营养成分分析,选取35±2日龄体重(0.88±0.13 kg)相近的断奶伊拉兔肉兔200只,随机分成4组,每组5个重复,每个重复10只,分别饲喂添加0(对照组)、15%、25%、35%葛藤的试验饲粮。预试期7 d,正试期42 d。于正试期第36天开始进行为期7 d的消化代谢试验,分析肉兔养分表观消化率,试验结束后测定分析肉兔盲肠消化酶活性及胃肠道的变化。结果显示,饲粮中添加不同量的葛藤:1)提高了各处理组肉兔对饲粮中干物质、粗蛋白、粗纤维、中性洗涤纤维、酸性洗涤纤维、酸性木质素、粗脂肪和半乳糖醛酸的表观消化率,35%葛藤组表观消化率最高,显著高于15%葛藤组与对照组(P0.05),但显著提高了盲肠相对长度和重量、胃相对重量与小肠相对重量,25%与35%葛藤组显著高于对照组(P<0.05)。4)提高了肉兔空肠、回肠与十二指肠的绒毛长度、绒毛长度/隐窝深度比值(V/C)和黏膜层厚度,降低了隐窝深度值,35%葛藤组肉兔回肠、十二指肠的绒毛长度显著高于对照组(P<0.05),空肠、回肠的隐窝深度低于对照组,空肠、回肠的V/C显著高于对照组(P<0.05)。因此,生长肉兔饲粮中最适宜的葛藤添加量为35%。

关键词：伊拉兔葛藤养分表观消化率胃肠道发育消化酶活性

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苦丁冬青苷D抑制肝细胞脂质沉积作用及机制

中国药理学通报 2024年第9期40卷 1688-1694页

作者：薛彩彩厉彦翔乔秀梅彭金咏王金红山东第二医科大学药学院“分子药理学与转化研究”山东省高校重点实验室山东潍坊261053 大连医科大学药学院辽宁大连116044

目的探讨苦丁冬青苷D(kudinoside D,KD-D)对棕榈酸(palmitic acid,PA)诱导肝细胞脂质沉积的影响。方法体外培养AML-12细胞,随机分为Control组、PA组、PA+KD-D 20μmol·L^(-1)组、PA+KD-D 40μmol·L^(-1)组和PA+KD-D 80μmol·L^(-1)组。除Control组外,其他各组细胞加入PA(0.4 mmol·L^(-1))孵育24 h,KD-D在PA加入前1 h给予。MTT法检测细胞存活率;油红O染色和透射电子显微镜检测肝细胞脂质沉积;DCFH-DA荧光探针检测细胞内活性氧族;MitoSOX线粒体超氧化物红色荧光探针检测细胞线粒体超氧化物。结果不同浓度KD-D明显改善PA诱导的肝细胞形态学改变。与Control组比较,PA组细胞内红色脂滴明显增加;与PA组比较,KD-D不同浓度干预的细胞内红色脂滴减少。透射电子显微镜结果提示,KD-D减少PA诱导的肝细胞脂肪变性并改善超微结构。此外,KD-D明显降低PA诱导的细胞活性氧水平(P<0.01),降低细胞线粒体超氧化物含量(P<0.01)。结论KD-D可抑制PA诱导的肝细胞脂质沉积,其机制可能与调控氧化应激反应有关。

关键词：苦丁冬青苷D AML-12细胞棕榈酸脂质沉积氧化应激非酒精性脂肪性肝病

Motion direction prediction through spike timing based on micro Capsnet networks

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Science China(Technological Sciences) 2022年第11期65卷 2763-2775页

作者： ZHANG HuaLiang LIU Ji WANG BaoZeng dai Jun LIAN jinLing KE Ang ZHAO YuWei ZHOU jin WANG ChangYong Bejing Institute of Basic Medical Sciences Bejing 100850China School of Artificial Intlligence and Automation Huazhong University of Science and TechnologyWuhan 430074China

Neural activity extraction and neural decoding from neural signals are an important part of critical components of brain-computer interface *** the development of brain-computer interface technology,the demand for precise external control and nervous activities in macaque monkey during unilateral hand grasp has increased the complexity of control and neural decoding,which puts forward higher requirements for the accuracy and stability of feature extraction and neural *** this study,a micro Capsnet network architecture that consists of a few network layers,a vector feature structure,and optimization network parameters,is proposed to decrease the computing time and complexity,decrease artificial debugging,and improve the decoding *** with KNN,SVM,XGBOOST,CNN,Simple RNN,and LSTM,the algorithm in this study improves the decoding accuracy by 98.03%,and achieves state-of-the-art accuracy and stronger ***,the proposed algorithm can further enhance the control accuracy in the brain-computer interface.

关键词： spike timing micro Capsnet network brain-computer interface motion direction prediction optimized network parameter