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Does young feces make the elderly live better? Application of fecal microbiota transplantation in healthy aging

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BIOCELL 2024年第6期48卷 873-887页

作者： yuanyuan liao XINSI LI QIAN LI YIZHONG WANG XIUJUN TAN TING GONG Department of Endodontics Stomatological Hospital of Chongqing Medical UniversityChongqingChina Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences ChongqingChina Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education ChongqingChina Department of Research&Development Zhejiang Charioteer Pharmaceutical Co.Ltd.TaizhouChina Department of Implantology Stomatological Hospital of Chongqing Medical UniversityChongqingChina

As we are facing an aging society,anti-aging strategies have been pursued to reduce the negative impacts of aging and increase the health span of human *** microbiota has become a key factor in the anti-aging *** of gut microbiota by fecal microbiota transplantation(FMT)to prevent frailty and unhealthy aging has been a hot topic of *** narrative review summarizes the beneﬁts of FMT for health span and lifespan,brains,eyes,productive systems,bones,and *** mechanisms of FMT in improving healthy aging are *** increased beneﬁcial bacteria and decreased pathological bacteria decreased gut permeability and systemic inﬂammation,increased short-chain fatty acid(SCFA)and SCFA-producing bacteria,and other factors are listed as mechanisms of FMT to improve healthy *** points that need to be considered to ensure the optimal outcomes of FMT are also discussed,such as recipients’age,sex,genetic background,and gut microbiota after *** thisﬁeld is still in its infancy,it has shown that FMT has great potential to improve healthy aging.

关键词： Gut microbiota Healthy aging Lifespan Fecal microbiota transplantation Co-housing Short-chain fatty acid Inﬂammaging

“左转”之后:日本超现实主义再考——以文学杂志《诗·现实》为中心

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外国文学评论 2024年第3期 219-239页

作者：廖媛苑清华大学中文系澳门大学人文社科高等研究院中国澳门

日本超现实主义曾长期被视为个人主义的、艺术至上的文艺思潮,而近年来的相关研究发现了其中左转的一翼。以文学杂志《诗·现实》为阵地,北川冬彦、神原泰等人借鉴同时期的马克思主义文学理论,对超现实主义加以重构,饭岛正则以电影诗的... 详细信息

日本超现实主义曾长期被视为个人主义的、艺术至上的文艺思潮,而近年来的相关研究发现了其中左转的一翼。以文学杂志《诗·现实》为阵地,北川冬彦、神原泰等人借鉴同时期的马克思主义文学理论,对超现实主义加以重构,饭岛正则以电影诗的形式探索了无产阶级文学大众化的可能性。通过对这些文艺实践的探讨,本文试图重新确认日本超现实主义的历史位置与意义,进一步理解国际左翼现代主义文艺运动的经验和教训。

关键词：日本超现实主义《诗·现实》马克思主义文艺理论电影诗歌

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格雷马斯结构主义叙事视角下的《全网公敌》

新闻传播科学 2024年第4期12卷 961-967页

作者：廖元源重庆邮电大学传媒艺术学院重庆

本文运用格雷马斯的结构主义叙事学理论解读《黑镜:全网公敌》中的叙事方式,采用“行动元模式”和“符号学矩阵”等理论,结合影片剧情分析角色动机,建立此文本中的格雷马斯行动元模型,利用“符号学矩阵”分析文本叙事结构。借此引出高... 详细信息

本文运用格雷马斯的结构主义叙事学理论解读《黑镜:全网公敌》中的叙事方式,采用“行动元模式”和“符号学矩阵”等理论,结合影片剧情分析角色动机,建立此文本中的格雷马斯行动元模型,利用“符号学矩阵”分析文本叙事结构。借此引出高科技社会下人类的生存难题以及对其的思考。

关键词：科技结构主义叙事学行动元符号学矩阵

GRATDet:Smart Contract Vulnerability Detector Based on Graph Representation and Transformer

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Computers, Materials & Continua 2023年第8期76卷 1439-1462页

作者： Peng Gong Wenzhong Yang Liejun Wang Fuyuan Wei KeZiErBieKe HaiLaTi yuanyuan liao College of Information Science and Engineering Xinjiang UniversityUrumqi830000China Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region Xinjiang UniversityUrumqi830000China Key Laboratory of Multilingual Information Technology in Xinjiang Uygur Autonomous Region Xinjiang UniversityUrumqi830000China

Smart contracts have led to more efficient development in finance and healthcare,but vulnerabilities in contracts pose high risks to their future *** current vulnerability detection methods for contracts are either based on fixed expert rules,which are inefficient,or rely on simplistic deep learning techniques that do not fully leverage contract semantic ***,there is ample room for improvement in terms of detection *** solve these problems,this paper proposes a vulnerability detector based on deep learning techniques,graph representation,and Transformer,called *** method first performs swapping,insertion,and symbolization operations for contract functions,increasing the amount of small sample *** line of code is then treated as a basic semantic element,and information such as control and data relationships is extracted to construct a new representation in the form of a Line Graph(LG),which shows more structural features that differ from the serialized presentation of the ***,the node information and edge information of the graph are jointly learned using an improved Transformer-GP model to extract information globally and locally,and the fused features are used for vulnerability *** effectiveness of the method in reentrancy vulnerability detection is verified in experiments,where the F1 score reaches 95.16%,exceeding stateof-the-art methods.

关键词： Vulnerability detection smart contract graph representation deep learning source code

DFE-GCN: Dual Feature Enhanced Graph Convolutional Network for Controversy Detection

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Computers, Materials & Continua 2023年第10期77卷 893-909页

作者： Chengfei Hua Wenzhong Yang Liejun Wang Fuyuan Wei KeZiErBieKe HaiLaTi yuanyuan liao College of Software Xinjiang UniversityUrumqi830000China Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region Xinjiang UniversityUrumqi830000China Key Laboratory of Multilingual Information Technology in Xinjiang Uygur Autonomous Region Xinjiang UniversityUrumqi830000China

With the development of social media and the prevalence of mobile devices,an increasing number of people tend to use social media platforms to express their opinions and attitudes,leading to many online *** online controversies can severely threaten social stability,making automatic detection of controversies particularly *** controversy detection methods currently focus on mining features from text semantics and propagation ***,these methods have two drawbacks:1)limited ability to capture structural features and failure to learn deeper structural features,and 2)neglecting the influence of topic information and ineffective utilization of topic *** light of these phenomena,this paper proposes a social media controversy detection method called Dual Feature Enhanced Graph Convolutional Network(DFE-GCN).This method explores structural information at different scales from global and local perspectives to capture deeper structural features,enhancing the expressive power of structural ***,to strengthen the influence of topic information,this paper utilizes attention mechanisms to enhance topic features after each graph convolutional layer,effectively using topic *** validated our method on two different public datasets,and the experimental results demonstrate that our method achieves state-of-the-art performance compared to baseline *** the Weibo and Reddit datasets,the accuracy is improved by 5.92%and 3.32%,respectively,and the F1 score is improved by 1.99%and 2.17%,demonstrating the positive impact of enhanced structural features and topic features on controversy detection.

关键词： Controversy detection graph convolutional network feature enhancement social media

The Detection of Fraudulent Smart Contracts Based on ECA-EfficientNet and Data Enhancement

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Computers, Materials & Continua 2023年第12期77卷 4073-4087页

作者： Xuanchen Zhou Wenzhong Yang Liejun Wang Fuyuan Wei KeZiErBieKe HaiLaTi yuanyuan liao College of Software Xinjiang UniversityUrumqi830000China Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region Urumqi830000China Key Laboratory of Multilingual Information Technology in Xinjiang Uygur Autonomous Region Urumqi830000China

With the increasing popularity of Ethereum,smart contracts have become a prime target for fraudulent activities such as Ponzi,honeypot,gambling,and phishing *** some researchers have studied intelligent fraud detection,most research has focused on identifying Ponzi contracts,with little attention given to detecting and preventing gambling or phishing *** are three main issues with current ***,there exists a severe data imbalance between fraudulent and non-fraudulent ***,the existing detection methods rely on diverse raw features that may not generalize well in identifying various classes of fraudulent ***,most prior studies have used contract source code as raw features,but many smart contracts only exist in *** address these issues,we propose a fraud detection method that utilizes Efficient Channel Attention EfficientNet(ECA-EfficientNet)and data *** method begins by converting bytecode into Red Green Blue(RGB)three-channel images and then applying channel exchange data *** then use the enhanced ECA-EfficientNet approach to classify fraudulent smart contract RGB *** proposed method achieves high F1-score and Recall on both publicly available Ponzi datasets and self-built multi-classification datasets that include Ponzi,honeypot,gambling,and phishing smart *** results of the experiments demonstrate that our model outperforms current methods and their variants in Ponzi contract *** research addresses a significant problem in smart contract security and offers an effective and efficient solution for detecting fraudulent contracts.

关键词： Fraud detection smart contract ECA-EfficientNet Ethereum

tuning the properties of confined water in standard and lybrid nanotubes： An infrared spectroscopic study

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Nano Research 2018年第9期11卷 4759-4773页

作者： yuanyuan liao Pierre Picot Maxime Laine Jean-Blaise Brubach Pascale Roy Antoine Thill Sophie Le Caer LIONS NIMBE UMR 3685 CEA CNRS Universite Paris-Saclay CEA Saclay Bt. 546 F-91191 Gif-sur-Yvette Cedex France Synchrotron SOLEIL AILES Beamline L'Orme des Mefisier Saint-Aubin BP 48 F-91192 Gif-sur-Yvette Cedex France

Imogolite is a natural nanotubular aluminum silicate clay mineral found in volcanic soils. Its well-defined, tunable structure makes it a good candidate for studying water confinement in a one-dimensional （1D） structure. Water confinement in self-sustaining imogolite thin films was studied using infrared spectroscopy. Two types of synthetic imogolites were investigated： pristine imogolite （IMO-OH） with a hydrophilic inner surface covered with Si-OH groups and hybrid imogolite （IMO-CH3） with a hydrophobic inner surface covered with Si-CH3 groups. Both imogolites have an outer surface that is covered with Al-OH groups. Infrared spectra were recorded in the 20-4,000 cm^-1 spectral range as a function of relative humidity. Analysis of the O-H stretching band provides information on the H bonding of confined water molecules inside and outside the IMO-OH tubes. The scenario for water filling as a function of relative humidity is determined for both systems. Adsorption begins in the IMO-OH tubes at the lowest relative humidity （〈 10%）. The inner surface of the tubes is first covered with water molecules; then, the central part of the tubes is filled, leading to very strong H bonds and a structured spectrum. In contrast, the H bonds of water adsorbed on the outer surfaces of these tubes are weaker. A different scenario is observed for water inside IMO-CH3： Weakly H-bonded water molecules are present, similar to that observed in carbon nanotubes. Water confinement in imogolites is governed by the hydrophilicity of the inner walls. At similar partial pressures, the degree of H bonding depends on the interactions between water and the nanotube wall.

关键词： imogolite nanotubes confinement infrared spectroscopy water isotherms hydrophilic hydrophobic

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毛竹圆竹基础力学性能

中南林业科技大学学报 2024年第8期44卷 169-179页

作者：曹振华刘元苌姗姗李婷刘贡钢柏元娟廖媛媛胡进波刘敬盛中南林业科技大学材料科学与工程学院湖南长沙410004 湖南桃花江竹材科技股份有限公司湖南桃江413400 广东豪德数控装备股份有限公司广东佛山528300

【目的】为促进毛竹圆竹在房屋建筑、岩土地基、道路桥梁等方面的应用,需要提供毛竹圆竹部件在工程中有可靠的使用依据,而系统阐述毛竹圆竹基础力学性能是推广毛竹圆竹结构材料的重要研究工作。【方法】以毛竹圆竹为原材料,依据LY/T 256... 详细信息

【目的】为促进毛竹圆竹在房屋建筑、岩土地基、道路桥梁等方面的应用,需要提供毛竹圆竹部件在工程中有可靠的使用依据,而系统阐述毛竹圆竹基础力学性能是推广毛竹圆竹结构材料的重要研究工作。【方法】以毛竹圆竹为原材料,依据LY/T 2564—2015测定毛竹圆竹的顺纹抗剪强度、顺纹抗压强度、顺纹抗拉强度、环刚度以及抗弯强度并分析对应的荷载-位移曲线,选取抗弯强度试件进行三维非接触式-高精度全场应变实时监测。【结果】毛竹圆竹顺纹抗剪强度为27.36 MPa,顺纹抗压强度为56.67 MPa,顺纹抗拉强度为141.46 MPa,环刚度为104.74 N/mm^(2),抗弯强度为133.31 MPa;毛竹圆竹的顺纹抗剪承载力、顺纹抗压承载力和环刚度均与直径呈正相关,直径在70~90 mm范围内,上述承载力均随毛竹圆竹直径增大而增大;毛竹圆竹的顺纹抗剪强度、顺纹抗压强度、环刚度和抗弯强度在试验加载过程中试件均出现较明显的开裂或变形后持续加载才丧失承载力;通过DIC记录毛竹圆竹达到破坏荷载时的位移从下部到上部逐渐减少,从2.564 mm减少到2.269 mm;毛竹圆竹抗弯强度的应变场数量级峰值下部为-163.904×10^(5)微应变,上部为152.417×10^(5)微应变,结构破坏呈现上部压应力和下部拉应力同时且近似相同的增长。【结论】试验表明,中空的毛竹圆竹具有较高的承载力,并且随着毛竹圆竹的直径增大承载力有所增大,从荷载-位移曲线可以看出毛竹圆竹具有一定的塑性变形能力,在实际应用中具有很好的破坏表现。

关键词：圆竹荷载-位移曲线应力-应变 DIC

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电力装备逆向物流价值评估模型研究

电力大数据 2024年第3期27卷 64-71页

作者：代洲王文辉廖媛媛谢鹏毛先胤张辉贵州财经大学管理科学与工程学院贵州贵阳550025 南方电网供应链集团有限公司广东广州510640 贵州电网有限责任公司电力科学研究院贵州贵阳550002 贵州财经大学信息学院贵州贵阳550025

目前在对电力装备进行逆向物流处理时,一般采用拍卖、直接报废等形式,未能准确评估装备剩余价值,甚至按照原材料重量等方式进行价值评估,极大低估了装备的剩余价值。本文经系统调研电力企业装备运行情况,在大量文献分析的基础上,提出电... 详细信息

目前在对电力装备进行逆向物流处理时,一般采用拍卖、直接报废等形式,未能准确评估装备剩余价值,甚至按照原材料重量等方式进行价值评估,极大低估了装备的剩余价值。本文经系统调研电力企业装备运行情况,在大量文献分析的基础上,提出电力装备逆向物流价值评估指标体系由外观检查、电气性能等10个指标组成。进而利用熵权法进行了指标权重确定。在此基础上,利用南方电网公司实际案例对模型的科学性进行了评估,结果良好。

关键词：电力装备逆向物流熵权法价值评估模型