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PZT铁电薄膜湿法刻蚀技术研究

压电与声光 2005年第2期27卷 209-212页

作者：郑可炉褚家如鲁健李恒中国科学技术大学精密机械与精密仪器系安徽合肥230027

介绍了一种刻蚀效果良好的PZT薄膜的湿法刻蚀方法。在分析了刻蚀液成分对刻蚀效果影响的基础上,选择体积比为1∶2∶4∶4的BHF/HCl/NH4Cl/H2O溶液作为刻蚀液,刻蚀速率为0.016μm/s。实验表明,刻蚀得到的PZT薄膜图形表面无残留物,侧蚀比小... 详细信息

介绍了一种刻蚀效果良好的PZT薄膜的湿法刻蚀方法。在分析了刻蚀液成分对刻蚀效果影响的基础上,选择体积比为1∶2∶4∶4的BHF/HCl/NH4Cl/H2O溶液作为刻蚀液,刻蚀速率为0.016μm/s。实验表明,刻蚀得到的PZT薄膜图形表面无残留物,侧蚀比小(1.5∶1),侧面倾角约60°。刻蚀液对光刻胶和PZT薄膜底电极Pt的选择性好,该工艺适用于MEMS领域中PZT薄膜的微图形化。

关键词：锫钛酸铅PZT薄膜湿法刻蚀微图形化

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朗松的文学史研究方法简析

学习与探索 2005年第6期 46-51页

作者：郑克鲁上海师范大学人文与传播学院

朗松(1857-1934)是19世纪末、20世纪初杰出的文学史专家.他的名著发表于1894年,奠定了他的文学史家地位.同年他代替了著名批评家布吕纳介在巴黎高等师范学校的教师位置,表明他的声誉得到确认.1927年他以高师校长的职务退休,当时他的学... 详细信息

朗松(1857-1934)是19世纪末、20世纪初杰出的文学史专家.他的名著发表于1894年,奠定了他的文学史家地位.同年他代替了著名批评家布吕纳介在巴黎高等师范学校的教师位置,表明他的声誉得到确认.1927年他以高师校长的职务退休,当时他的学术地位达到顶峰,他的名声早已越出了国界.

关键词：文学史研究高等师范学校 19世纪末 20世纪初文学史家研究成果参考价值批评家学术

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法国文学的域外影响

学习与探索 2006年第3期 133-135页

作者：郑克鲁上海师范大学人文与传播学院上海200234

法国文学成就辉煌,影响深远。从中世纪至今,法国文学中新的体裁、题材、思想观念、艺术手法对欧洲文学乃至世界文学都产生了重大影响。这主要是因为法国文学自身发展与时俱进,既富有创新意识,又善于汲取前人和他国的优秀文化营养,同时... 详细信息

法国文学成就辉煌,影响深远。从中世纪至今,法国文学中新的体裁、题材、思想观念、艺术手法对欧洲文学乃至世界文学都产生了重大影响。这主要是因为法国文学自身发展与时俱进,既富有创新意识,又善于汲取前人和他国的优秀文化营养,同时也与法国政府历来对文学的发展高度重视有关。

关键词：法国文学文学的域外影响古典主义启蒙文学欧洲文学

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文学批评方法的研究和应用

学习与探索 2005年第6期 39-40页

作者：郑克鲁上海师范大学人文与传播学院教授博士生导师上海200234

主持人语:文学批评是针对文学现象的评说,它同文学创作同样古老.文学批评对文学创作分析总结,同时又影响文学创作的发展,二者相互依存,互动存在.文学批评有社会历史批评、审美批评、心理批评、语言批评等几种基本类型.批评理念的变化、... 详细信息

主持人语:文学批评是针对文学现象的评说,它同文学创作同样古老.文学批评对文学创作分析总结,同时又影响文学创作的发展,二者相互依存,互动存在.文学批评有社会历史批评、审美批评、心理批评、语言批评等几种基本类型.批评理念的变化、批评视角的不同会产生不同的批评方法;对同一文学作品运用不同批评方法亦会得出不同的评判.

关键词：文学批评方法本雅明卡夫卡朗松《法国文学史》文本批评文化批评

Hypoxia-preconditioned bone marrow-derived mesenchymal stem cells protect neurons from cardiac arrest-induced pyroptosis

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Neural Regeneration Research 2025年第4期20卷 1103-1123页

作者： Xiahong Tang Nan zheng Qingming Lin Yan You zheng Gong Yangping Zhuang Jiali Wu Yu Wang Hanlin Huang Jun ke Feng Chen Shengli Clinical Medical College of Fujian Medical University Fujian Medical UniversityFuzhouFujian ProvinceChina Department of Emergency Fujian Provincial HospitalFuzhouFujian ProvinceChina Fujian Provincial key Laboratory of Emergency Medicine FuzhouFujian ProvinceChina The Second Department of Intensive Care Unit Fujian Provincial Hospital South BranchFuzhouFujian ProvinceChina

Cardiac arrest can lead to severe neurological impairment as a result of inflammation,mitochondrial dysfunction,and post-cardiopulmonary resuscitation neurological *** preconditioning has been shown to improve migration and survival of bone marrow–derived mesenchymal stem cells and reduce pyroptosis after cardiac arrest,but the specific mechanisms by which hypoxia-preconditioned bone marrow–derived mesenchymal stem cells protect against brain injury after cardiac arrest are *** this end,we established an in vitro co-culture model of bone marrow–derived mesenchymal stem cells and oxygen–glucose deprived primary neurons and found that hypoxic preconditioning enhanced the protective effect of bone marrow stromal stem cells against neuronal pyroptosis,possibly through inhibition of the MAPK and nuclear factor κB ***,we transplanted hypoxia-preconditioned bone marrow–derived mesenchymal stem cells into the lateral ventricle after the return of spontaneous circulation in an 8-minute cardiac arrest rat model induced by *** results showed that hypoxia-preconditioned bone marrow–derived mesenchymal stem cells significantly reduced cardiac arrest–induced neuronal pyroptosis,oxidative stress,and mitochondrial damage,whereas knockdown of the liver isoform of phosphofructokinase in bone marrow–derived mesenchymal stem cells inhibited these *** conclude,hypoxia-preconditioned bone marrow–derived mesenchymal stem cells offer a promising therapeutic approach for neuronal injury following cardiac arrest,and their beneficial effects are potentially associated with increased expression of the liver isoform of phosphofructokinase following hypoxic preconditioning.

关键词： bone marrow–derived mesenchymal stem cells cardiac arrest cardiac resuscitation hypoxic preconditioning liver isoform of phosphofructokinase mitochondria neuroinflammation oxidative stress pyroptosis reactive oxygen species

The complex roles of m^(6)A modifications in neural stem cell proliferation, differentiation, and self-renewal and implications for memory and neurodegenerative diseases

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Neural Regeneration Research 2025年第6期20卷 1582-1598页

作者： Yanxi Li Jing Xue Yuejia Ma ke Ye Xue Zhao Fangliang Ge Feifei zheng lulu Liu Xu Gao Dayong Wang Qing Xia Department of Biochemistry and Molecular Biology College of Basic Medical SciencesHarbin Medical UniversityHarbinHeilongjiang ProvinceChina College of Basic Medical Sciences Harbin Medical UniversityHarbinHeilongjiang ProvinceChina Basic Medical Institute Heilongjiang Academy of Medical SciencesHarbinHeilongjiang ProvinceChina key Laboratory of Heilongjiang Province for Genetically Modified Animals Harbin Medical UniversityHarbinHeilongjiang ProvinceChina Translational Medicine Research and Cooperation Center of Northern China Heilongjiang Academy of Medical SciencesHarbinHeilongjiang ProvinceChina Dongzhimen Hospital Beijing University of Chinese MedicineBeijingChina

N6-methyladenosine(m^(6)A), the most prevalent and conserved RNA modification in eukaryotic cells, profoundly influences virtually all aspects of mRNA metabolism. mRNA plays crucial roles in neural stem cell genesis and neural regeneration, where it is highly concentrated and actively involved in these processes. Changes in m^(6)A modification levels and the expression levels of related enzymatic proteins can lead to neurological dysfunction and contribute to the development of neurological diseases. Furthermore, the proliferation and differentiation of neural stem cells, as well as nerve regeneration, are intimately linked to memory function and neurodegenerative diseases. This paper presents a comprehensive review of the roles of m^(6)A in neural stem cell proliferation, differentiation, and self-renewal, as well as its implications in memory and neurodegenerative diseases. m^(6)A has demonstrated divergent effects on the proliferation and differentiation of neural stem cells. These observed contradictions may arise from the time-specific nature of m^(6)A and its differential impact on neural stem cells across various stages of development. Similarly, the diverse effects of m^(6)A on distinct types of memory could be attributed to the involvement of specific brain regions in memory formation and recall. Inconsistencies in m^(6)A levels across different models of neurodegenerative disease, particularly Alzheimer's disease and Parkinson's disease, suggest that these disparities are linked to variations in the affected brain regions. Notably, the opposing changes in m^(6)A levels observed in Parkinson's disease models exposed to manganese compared to normal Parkinson's disease models further underscore the complexity of m^(6)A's role in neurodegenerative processes. The roles of m^(6)A in neural stem cell proliferation, differentiation, and self-renewal, and its implications in memory and neurodegenerative diseases, appear contradictory. These inconsistencies may be a

关键词： Alzheimer's disease cell self-renewal central nervous system memory microglia nerve regeneration neurodegenerative diseases neurogenesis RNA methylation

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含硫天然气管道中毒潜在影响半径计算方法

安全与环境学报 2016年第6期16卷 189-193页

作者：何沫廖柯熹吕郑西南石油大学石油与天然气工程学院成都610500 中石油西南油气田分公司安全环保与技术监督研究院成都610040 中石油西南油气田分公司川东北气矿四川达州635000

含硫天然气的泄漏会造成人员中毒,严重威胁管道附近人员的生命安全,ASME标准中推荐的潜在影响半径计算模型不适用于含硫天然气管道。常用气体扩散模型忽略泄漏气体的喷射作用导致中毒影响半径计算结果过于保守,因此首先分析含硫天然气... 详细信息

含硫天然气的泄漏会造成人员中毒,严重威胁管道附近人员的生命安全,ASME标准中推荐的潜在影响半径计算模型不适用于含硫天然气管道。常用气体扩散模型忽略泄漏气体的喷射作用导致中毒影响半径计算结果过于保守,因此首先分析含硫天然气管道泄漏特点,考虑泄漏气体喷射高度和泄漏速率的变化对硫化氢地面体积分数的影响,基于天然气泄漏扩散规律建立了不同时刻烟团和烟羽体积分数叠加表征的硫化氢中毒潜在影响半径R计算模型。考虑截断阀紧急关闭影响,按照30 s时间提出了泄漏速率分段计算依据,并合理确定了瞬时泄漏气团质量Q、连续性泄漏源强q、扩散参数以及泄漏气团中心高度H等基本参数。针对不同压力、管径、硫化氢体积分数条件,进行了中毒影响半径、热辐射潜在影响半径及忽略喷射高度的影响半径对比分析,合理提出了按照中毒潜在影响半径确定含硫天然气管道潜在影响半径的计算方法。

关键词：公共安全含硫天然气管道硫化氢气体扩散潜在影响半径计算模型泄漏速率

Specific convulsions and brain damage in children hospitalized for Omicron BA.5 infection:an observational study using two cohorts

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World Journal of Pediatrics 2024年第10期20卷 1079-1089页

作者： Yuan-Yuan Pei Hong-Li Wang Gen-Quan Yin Yi Xu Jian-Hao Tan Xin-Hua Liang Hui-Ying Wu Xun-Tao Yin Chun-Xiao Fang Jun-zheng Peng Zhi-Yuan Wu Yi Sun Run Dang Yu-Feng Liang Hong-Mei Tang You-Yi Li Zhong-Xiang Qiao Zhi-Cheng Liang Jian-Ping Tang Fan-Sen Zeng ke-lu zheng Yi-Ru Zeng Xiao-Jun Cao Hui-Min Xia Jian-Rui Wei Jin-Ling Tang Si-Tang Gong Clinical Data Center Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Department of Gastroenterology Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Department of Internal Medicine Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Department of Infectious Diseases Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Information Department Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China School of Pediatrics Guangzhou Medical UniversityGuangzhou 510623China Imaging Department Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Respiratory Department Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Pediatric Intensive Care Unit Guangzhou Women and Children’s Medical CenterGuangzhou Medical UniversityGuangzhou510623China Neonatal Intensive Care Unit Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Rehabilitation Department Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China General Pediatrics Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou510623China Emergency Department Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Department of Neurology Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China key Laboratory of Structural Birth Defects Research in Guangdong Province Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Cardiovascular Department Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShen

Background SARS-CoV-2 continues to mutate over time,and reports on children infected with Omicron BA.5 are *** aimed to analyze the specific symptoms of Omicron-infected children and to improve patient *** We selected 315 consecutively hospitalized children with Omicron BA.5 and 16,744 non-Omicron-infected febrile children visiting the fever clinic at our hospital between December 8 and 30,*** convulsions and body temperatures were compared between the two *** analyzed potential associations between convulsions and vaccination,and additionally evaluated the brain damage among severe Omicron-infected *** Convulsion rates(97.5%vs.4.3%,P<0.001)and frequencies(median:2.0 vs.1.6,P<0.001)significantly differed between Omicron-infected and non-Omicron-infected febrile *** body temperatures of Omicron-infected children were significantly higher during convulsions than when they were not convulsing and those of non-Omicron-infected febrile children during convulsions(median:39.5 vs.38.2 and 38.6℃,both P<0.001).In the three Omicron-subgroups,the temperature during convulsions was proportional to the percentage of patients and significantly differed(P<0.001),while not in the three non-Omicron-subgroups(P=0.244).The convulsion frequency was lower in the 55 vaccinated children compared to the 260 non-vaccinated children(average:1.8 vs.2.1,P<0.001).The vaccination dose and convulsion frequency in Omicron-infected children were significantly correlated(P<0.001).Fifteen of the 112 severe Omicron cases had brain *** Omicron-infected children experience higher body temperatures and frequencies during convulsions than those of non-Omicron-infected febrile *** additionally found evidence of brain damage caused by infection with omicron *** and prompt fever reduction may relieve symptoms.

关键词： Body temperature Brain damage:Children:Convulsion Omicron BA.5.Vaccination

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 209-229页

作者： Jiawei Tian Yu Zhou Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu lu Wenfeng zheng Department of Computer Science and Engineering Major in Bio Artificial IntelligenceHanyang UniversityAnsan-si15577Republic of Korea School of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA 70803USA Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11574Saudi Arabia School of Automation University of Electronic Science and Technology of ChinaChengdu610054China

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study proposes a novel end-to-end disparity estimation model to address these *** approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting *** study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and *** model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video *** results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing ***,the model exhibited faster convergence during training,contributing to overall performance *** study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.

关键词： Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation