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论《新闻联播》道德偶像建构的制码和解码

湖南大学学报（社会科学版） 2015年第2期29卷 149-154页

作者：尹金凤湖南师范大学新闻与传播学院湖南长沙410081

新闻媒体经常通过建构道德偶像的方式来弘扬主流价值观,对民众进行道德教化。我们通过对央视《新闻联播》道德偶像建构活动的传播效果考察发现,受众对其建构的道德偶像进行了多样化的解码:一是完全认同式解码,二是协商性解码,三是对抗... 详细信息

新闻媒体经常通过建构道德偶像的方式来弘扬主流价值观,对民众进行道德教化。我们通过对央视《新闻联播》道德偶像建构活动的传播效果考察发现,受众对其建构的道德偶像进行了多样化的解码:一是完全认同式解码,二是协商性解码,三是对抗性解码。受众的多样化解码引发了人们对该栏目制码策略的关注。《新闻联播》在进行道德偶像建构时,多采用宣传语态建构道德"神话";在道德建构中杂糅政治符号;强调集体价值的优先和至上。显然,这些制码策略依然存在改进与提升的空间。

关键词：道德偶像建构解码制码

Taking tomographic measurements for photonic qubits 88 ns before they are created

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Chinese Physics B 2021年第4期30卷 55-60页

作者： Zhibo Hou Qi yin Chao Zhang Han-Sen Zhong Guo-Yong Xiang Chuan-feng Li Guang-Can Guo Geoff J.Pryde Anthony Laing Key Laboratory of Quantum Information University of Science and Technology of ChinaCASHefei 230026China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Centre for Quantum Computation and Communication Technology(CQC2T)and Centre for Quantum Dynamics Griffith UniversityBrisbane4111Australia Quantum Engineering and Technology Laboratories School of Physics and Department of Electrical and Electronic EngineeringUniversity of BristolUK

We experimentally demonstrate that tomographic measurements can be performed for states of qubits before they are prepared.A variant of the quantum teleportation protocol is used as a channel between two instants in time,allowing measurements for polarization states of photons to be implemented 88 ns before they are *** data taken at the early time and later unscrambled according to the results of the protocol’s Bell measurements,produces density matrices with an average fidelity of 0.90±0.01 against the ideal states of photons created at the later *** tomography of the time reverse quantum channel finds an average process fidelity of 0.84±*** our proof-of-principle implementation necessitates some post-selection,the general protocol is deterministic and requires no post-selection to sift desired states and reject a larger ensemble.

关键词： teleportation tomography time reverse

RNA Interference Mediated Silencing of Tissue Factor in Human Umbilical Vein Endothelial Cells

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Open Journal of Obstetrics and Gynecology 2018年第5期8卷 477-484页

作者： Xiaojuan yin Zhu Chen Weiqin Zhou Wen Tang Zhichun feng Bayi Children’s Hospital Affiliated to Army General Hospital of People’s Liberation Army Beijing China

Objective: To construct to silence tissue factor (TF) expression in Human Umbilical Vein Endothelial Cells (HUVECs) for providing evidence of the gene therapy and prevention of coagulation dysfunction in placental abruption (PA) neonates. Methods: Cultured HUVECs in vitro were divided into control group and PA group, each including non-prevention, scramble siRNA and TF-siRNA subgroups. pENTRTM/U6-shRNA/TF vector expressing TF were constructed and transfected into HUVECs. The mRNA expression of TF was tested with RT-PCR, and TF protein expression was detected with immunofluorescence staining. Results: Monolayer HUVECs with short-rod and short spindle shaped were adherent to the bottom, forming paving stone arrangement. The TF mRNA expression was significantly different between control group and PA group (P 0.01) and among different subgroups (P 0.01). In non-prevention subgroups, significant difference was observed in TF mRNA expression between control group and PA group (P 0.05). Significant difference in TF mRNA expression was found in false-prevention subgroups (P 0.05). The TF mRNA expression was markedly different among different subgroups in control (P 0.01), and the similar result among different PA subgroups (P 0.01). In both control and PA groups, the TF mRNA expression was the lowest after TF silencing. Immunofluorescence staining showed high TF expression in HUVECs in false-prevention subgroups. In scramble siRNA group, the TF protein expression reduced as compared to non-prevention group and reduced dramatically after TF silencing as compared to control. Conclusion: pENTRTM/U6-TF-shRNA is able to significantly inhibit the TF mRNA and protein expression in HUVECs from healthy neonates and PA neonates.

关键词： Neonate Tissue Factor Placental Abruption

Proteomic analysis reveals the differential proteins of endosperm between soft and hard wheat varieties

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Grain & Oil Science and Technology 2019年第2期2卷 27-32页

作者： feng Jia Haicheng yin Qi Wang Yu Chen Jinshui Wang College of Biological Engineering Henan University of Technology

In this study,we revealed the differential proteins from the wheat endosperms using proteomic analysis and investigated their surface *** pattern of the polypeptides obtained from the Yangmai-15 and Yangmai-16 wheat varieties were compared using two-dimensional polyacrylamide *** addition,we compared the characteristics of the grain such as grain hardness,protein content,wet gluten,dough development time,dough stability,gliadin and glutenin contents between Yangmai-15 and Yangmai-16,and the results were significantly ***,216 and 197 protein spots were separated from Yangmai-15 and Yangmai-16,*** isoelectric points of the identified proteins ranged from 4 to 10 and the molecular weights of proteins varied from 10 to 100 ***,21 and 8 specific differential protein spots were identified fromthe flour of Yangmai-15 and Yangmai-16,*** surface properties of identified peptides consisted of hydrophobic or hydrophilic residues,as well as randomly scattered *** proteomic analysis of the wheat endosperms provides a novel insight into the biochemical basis for the differences in physicochemical properties between the soft and hard wheat varieties.

关键词： Soft and hard wheat Proteome Peptides surfaces Endosperm proteins

Using machine learning to aid treatment decision and risk assessment for severe three-vessel coronary artery disease

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Journal of Geriatric Cardiology 2022年第5期19卷 367-376页

作者： Liu JIE Xin-Xing feng Yan-feng DUAN Jun-Hao LIU Ce ZHANG Lin JIANG Lian-Jun XU Jian TIAN Xue-Yan ZHAO yin ZHANG Kai SUN Bo XU Wei ZHAO Ru-Tai HUI Run-Lin GAO Ji-Zheng WANG Jin-Qing YUAN Xin HUANG Lei SONG State Key Laboratory of Cardiovascular Disease Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Endocrinology and Cardiovascular Disease Centre Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Endocrinology Fuwai HospitalChinese Academy of Medical SciencesShenzhenChina Nanjing TooBoo Technology Co. Ltd.NanjingChina Department of Cardiology Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Cardiomyopathy Ward Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Medical Research Center Peking Union Medical College HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijingChina Information Center Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina National Clinical Research Center for Cardiovascular Diseases Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Solar activity Prediction Center National Astronomical ObservatoriesChinese Academy of SciencesBeijingChina

BACKGROUND Three-vessel disease(TVD)with a SYNergy between PCI with TAXus and cardiac surgery(SYNTAX)score of≥23 is one of the most severe types of coronary artery *** aimed to take advantage of machine learning to help in de-cision-making and prognostic evaluation in such *** We analyzed 3786 patients who had TVD with a SYNTAX score of≥23,had no history of previous revascularization,and underwent either coronary artery bypass grafting(CABG)or percutaneous coronary intervention(PCI)after *** patients were randomly assigned to a training group and testing *** C4.5 decision tree algorithm was applied in the training group,and all-cause death after a median follow-up of 6.6 years was regarded as the class *** The decision tree algorithm selected age and left ventricular end-diastolic diameter(LVEDD)as splitting features and divided the patients into three subgroups:subgroup 1(age of≤67 years and LVEDD of≤53 mm),subgroup 2(age of≤67 years and LVEDD of>53 mm),and subgroup 3(age of>67 years).PCI conferred a patient survival benefit over CABG in sub-group *** was no significant difference in the risk of all-cause death between PCI and CABG in subgroup 1 and subgroup 3 in both the training data and testing *** the total study population,the multivariable analysis revealed significant dif-ferences in the risk of all-cause death among patients in three *** The combination of age and LVEDD identified by machine learning can contribute to decision-making and risk assessment of death in patients with severe *** present results suggest that PCI is a better choice for young patients with severe TVD characterized by left ventricular dilation.

关键词： coronary testing treatment

考虑桥面等级退化影响的风-车流-桥梁耦合振动分析

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工程力学 2016年第3期33卷 87-94页

作者：殷新锋丰锦铭刘扬长沙理工大学桥梁工程安全控制省部共建教育部重点实验室湖南长沙410004

综合考虑了车流随机性和桥面等级退化等因素,提出了一种新的分析模型,该模型能分析在役桥梁不同服役期间在交通荷载及风耦合作用下的桥梁动态响应。基于已有车辆模型,建立了一个可考虑车辆纵向振动的18自由度空间车辆模型,考虑邻近车辆... 详细信息

综合考虑了车流随机性和桥面等级退化等因素,提出了一种新的分析模型,该模型能分析在役桥梁不同服役期间在交通荷载及风耦合作用下的桥梁动态响应。基于已有车辆模型,建立了一个可考虑车辆纵向振动的18自由度空间车辆模型,考虑邻近车辆影响基础之上的改进CA(Cellular Automation-元胞自动机)模型和桥面退化模型,并引入等效车轮荷载的方法,通过风、桥梁和车辆相互作用关系,建立了风-车流-桥梁系统的耦合振动分析模型。数值计算表明:该文所提出的方法能够合理的模拟风-车流-桥梁系统的耦合振动。

关键词：桥梁工程车流振动空间车辆模型桥面等级退化

活化型肝星状细胞清除机制及其相关抗肝纤维化策略

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第二军医大学学报 2010年第9期31卷 1017-1019页

作者：李晶殷正丰第二军医大学东方肝胆外科医院分子肿瘤实验室上海200438

已知肝星状细胞(hepatic stellate cells,HSCs)活化是肝纤维化的核心环节。越来越多的基础和临床研究证实,肝纤维化可以逆转。而肝纤维化消退的主要表现之一是活化型HSCs数量不断减少。因此,如何清除活化型HSCs并使之成为抗肝纤维化治... 详细信息

已知肝星状细胞(hepatic stellate cells,HSCs)活化是肝纤维化的核心环节。越来越多的基础和临床研究证实,肝纤维化可以逆转。而肝纤维化消退的主要表现之一是活化型HSCs数量不断减少。因此,如何清除活化型HSCs并使之成为抗肝纤维化治疗新策略正逐渐受到关注。现有两种可能机制用于解释活化型HSCs的清除现象,即活化型HSCs的表型逆转和凋亡。本文旨在对基于活化型HSCs清除机制的抗肝纤维化策略进展做一综述。

关键词：肝纤维化肝星状细胞表型细胞凋亡

Artificial Intelligence in Pharmaceutical Sciences

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Engineering 2023年第8期27卷 37-69页

作者： Mingkun Lu Jiayi yin Qi Zhu Gaole Lin Minjie Mou Fuyao Liu Ziqi Pan Nanxin You Xichen Lian fengcheng Li Hongning Zhang Lingyan Zheng Wei Zhang Hanyu Zhang Zihao Shen Zhen Gu Honglin Li feng Zhu College of Pharmaceutical Sciences&The Second Affiliated Hospital School of MedicineZhejiang UniversityHangzhou 310058China Shanghai Key Laboratory of New Drug Design East China University of Science and TechnologyShanghai 200237China Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University Alibaba-Zhejiang University Joint Research Center of Future Digital HealthcareHangzhou 330110China Innovation Center for AI and Drug Discovery East China Normal UniversityShanghai 200062China Lingang Laboratory Shanghai 200031China

Drug discovery and development affects various aspects of human health and dramatically impacts the pharmaceutical ***,investments in a new drug often go unrewarded due to the long and complex process of drug research and development(R&D).With the advancement of experimental technology and computer hardware,artificial intelligence(AI)has recently emerged as a leading tool in analyzing abundant and high-dimensional *** growth in the size of biomedical data provides advantages in applying AI in all stages of drug R&*** by big data in biomedicine,AI has led to a revolution in drug R&D,due to its ability to discover new drugs more efficiently and at lower *** review begins with a brief overview of common AI models in the field of drug discovery;then,it summarizes and discusses in depth their specific applications in various stages of drug R&D,such as target discovery,drug discovery and design,preclinical research,automated drug synthesis,and influences in the pharmaceutical ***,the major limitations of AI in drug R&D are fully discussed and possible solutions are proposed.

关键词： Artificial intelligence Machine learning Deep learning Target identification Target discovery Drug design Drug discovery

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通胀下带激励的对冲基金最优投资

系统工程理论与实践 2015年第11期35卷 2740-2748页

作者：费为银李允贺夏登峰安徽工程大学金融工程系芜湖241000

本文在展望理论的框架下,研究了通胀等因素对于带有激励费的对冲基金管理者最优投资策略的影响.对冲基金管理者在风险资产和无风险资产中进行投资,首先利用伊藤公式推导了通胀折现的风险资产价格动力学方程.然后基于考虑通胀折现因素后... 详细信息

本文在展望理论的框架下,研究了通胀等因素对于带有激励费的对冲基金管理者最优投资策略的影响.对冲基金管理者在风险资产和无风险资产中进行投资,首先利用伊藤公式推导了通胀折现的风险资产价格动力学方程.然后基于考虑通胀折现因素后的终端财富预期效用最大化标准,利用鞅方法推导了最优投资策略的显式解.最后对理论结果进行数值模拟,定量分析了通胀因素,激励费和对冲基金管理者在基金中持有的股本对最优投资策略的影响.

关键词：对冲基金通货膨胀激励费鞅方法最优投资策略