Pub Date : 2024-01-25DOI: 10.56028/aetr.9.1.522.2024
Jinghao Situ
With the development of the times, more and more high-dimensional datasets come into people's view. In order to reduce the time complexity and space complexity of downstream tasks, data dimensionality reduction becomes the primary choice. Classical dimensionality reduction algorithms are mainly divided into linear dimensionality reduction algorithms and nonlinear dimensionality reduction algorithms. Some of the traditional dimensionality reduction methods have the problems of not considering the nonlinear structure of the original dataset and the existence of weak generalisation, which makes the dimensionality reduction effect not good or model need to be recalculated because of the addition of new samples. In order to solve these problems, the research in this paper is a comparative learning dimensionality reduction method based on manifold learning. The idea of manifold learning using geodesic distance can fully consider the nonlinear structure of the original dataset. In this paper, comparative learning is the main framework. When the neural network completes the training, it only need to take the new data as input to calculate, the result can be obtained, no need to reconstruct the model which means the generality is high. Starting from the related work, this paper briefly introduces manifold learning, comparative learning and neural network algorithms. Subsequently, an innovative model is proposed, including three modules, Isomap to extract nonlinear structure, expanding neighbourhood to make pseudo-labels, and comparative learning training. Detailed analyses are carried out through experiments, comparing with PCA and LLE algorithms with the geodetic distance retention rate as an indicator, which proves that the data dimensionality reduction method of this model is more effective and ubiquitous.
随着时代的发展，越来越多的高维数据集进入人们的视野。为了降低下游任务的时间复杂度和空间复杂度，数据降维成为首要选择。经典的降维算法主要分为线性降维算法和非线性降维算法。一些传统的降维方法存在不考虑原始数据集的非线性结构、存在弱泛化等问题，使得降维效果不佳，或因增加新样本而需要重新计算模型。为了解决这些问题，本文研究了一种基于流形学习的比较学习降维方法。流形学习利用大地距离的思想可以充分考虑原始数据集的非线性结构。本文以比较学习为主要框架。当神经网络完成训练后，只需将新数据作为输入进行计算，即可得到结果，无需重构模型，通用性高。本文从相关工作出发，简要介绍了流形学习、比较学习和神经网络算法。随后，本文提出了一个创新模型，包括三个模块：提取非线性结构的 Isomap 模块、扩展邻域制作伪标签模块和比较学习训练模块。通过实验进行了详细分析，以大地测量距离保留率为指标，与 PCA 算法和 LLE 算法进行了比较，证明该模型的数据降维方法更有效、更普遍。
{"title":"Contrastive Learning Dimensionality Reduction Method Based on Manifold Learning","authors":"Jinghao Situ","doi":"10.56028/aetr.9.1.522.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.522.2024","url":null,"abstract":" With the development of the times, more and more high-dimensional datasets come into people's view. In order to reduce the time complexity and space complexity of downstream tasks, data dimensionality reduction becomes the primary choice. Classical dimensionality reduction algorithms are mainly divided into linear dimensionality reduction algorithms and nonlinear dimensionality reduction algorithms. Some of the traditional dimensionality reduction methods have the problems of not considering the nonlinear structure of the original dataset and the existence of weak generalisation, which makes the dimensionality reduction effect not good or model need to be recalculated because of the addition of new samples. In order to solve these problems, the research in this paper is a comparative learning dimensionality reduction method based on manifold learning. The idea of manifold learning using geodesic distance can fully consider the nonlinear structure of the original dataset. In this paper, comparative learning is the main framework. When the neural network completes the training, it only need to take the new data as input to calculate, the result can be obtained, no need to reconstruct the model which means the generality is high. Starting from the related work, this paper briefly introduces manifold learning, comparative learning and neural network algorithms. Subsequently, an innovative model is proposed, including three modules, Isomap to extract nonlinear structure, expanding neighbourhood to make pseudo-labels, and comparative learning training. Detailed analyses are carried out through experiments, comparing with PCA and LLE algorithms with the geodetic distance retention rate as an indicator, which proves that the data dimensionality reduction method of this model is more effective and ubiquitous.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"24 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.56028/aetr.9.1.622.2024
Yanchang Li
Secret sharing is a key technology of data confidentiality, where one can distribute a secret among agents, and only the authorized agents can recover the original secret. Quantum information technology, including quantum communication, quantum computing can break through the bottlenecks of classical technology in information security and computing speed, based on quantum mechanics, such as quantum superposition, quantum uncertainty, quantum no-cloning and quantum entanglement. By combining quantum technology with classic secret sharing, the concept of quantum state sharing was presented. In this manuscript, a novel kind of (n,t) threshold quantum state sharing scheme is proposed, where the selected t agents among n agents can cooperate to reconstruct the target secret state. For implementing this scheme, the Chinese reminder theorem is introduced during the processing of the secret key distribution. In addition, to show the proposed scheme clearly, a concrete (5,3) example is given. Furthermore, the proof of the correctness of the scheme is shown. Our scheme will improve the development the quantum secret sharing and open up exploring the application of quantum information technology
秘密共享是数据保密的一项关键技术，它可以在代理人之间分发秘密，只有被授权的代理人才能恢复原始秘密。量子信息技术，包括量子通信、量子计算可以突破经典技术在信息安全和计算速度方面的瓶颈，其基础是量子力学，如量子叠加、量子不确定性、量子不可克隆和量子纠缠。通过将量子技术与经典的秘密共享相结合，提出了量子态共享的概念。本文提出了一种新颖的（n,t）阈量子态共享方案，即在 n 个代理中选取 t 个代理进行合作，重建目标秘密状态。为实现该方案，在密钥分配处理过程中引入了中国提醒定理。此外，为了清楚地展示所提出的方案，给出了一个具体的（5,3）实例。此外，还展示了该方案的正确性证明。我们的方案将改善量子秘密共享的发展，并开启量子信息技术的应用探索。
{"title":"A Kind of (n,t)Threshold Quantum State Sharing Scheme Based on Chinese Reminder Theorem","authors":"Yanchang Li","doi":"10.56028/aetr.9.1.622.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.622.2024","url":null,"abstract":"Secret sharing is a key technology of data confidentiality, where one can distribute a secret among agents, and only the authorized agents can recover the original secret. Quantum information technology, including quantum communication, quantum computing can break through the bottlenecks of classical technology in information security and computing speed, based on quantum mechanics, such as quantum superposition, quantum uncertainty, quantum no-cloning and quantum entanglement. By combining quantum technology with classic secret sharing, the concept of quantum state sharing was presented. In this manuscript, a novel kind of (n,t) threshold quantum state sharing scheme is proposed, where the selected t agents among n agents can cooperate to reconstruct the target secret state. For implementing this scheme, the Chinese reminder theorem is introduced during the processing of the secret key distribution. In addition, to show the proposed scheme clearly, a concrete (5,3) example is given. Furthermore, the proof of the correctness of the scheme is shown. Our scheme will improve the development the quantum secret sharing and open up exploring the application of quantum information technology","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"277 1-2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.56028/aetr.9.1.637.2024
Rongyu Li
Bearings are essential components in mechanical systems, supporting the rotation of various machine parts in motors, wind turbines, vehicles, and industrial robots, making their health critical for system performance and reliability. Traditional diagnosis methods, such as vibration and acoustic analysis, along with temperature monitoring, often demand expertise and may struggle to detect early faults. However, the introduction of deep learning technology has created new opportunities for more effective bearing fault diagnosis. The application of deep learning-based bearing fault diagnosis in the industrial sector has gained significant attention and multiple types of deep learning networks have already been successfully implemented. This paper aims to provide a clear review of bearing fault diagnosis based on deep learning algorithms. This essay focuses on two of the most popular deep learning networks, Autoencoder and Convolutional Neural Networks. Their mechanism and applications are analyzed based on essays and research paper related to the field of bearing fault diagnosis. Finally, conclusions are presented to summarize the current development and point out faced challenges and future trends of these deep learning networks. It is also expected that this narrative not only serves as a cogent overview of the contemporary fault diagnosis technologies but also provides convenience and inspiration for further study in this field.
{"title":"A review of recent advances in fault diagnosis based on deep neural networks","authors":"Rongyu Li","doi":"10.56028/aetr.9.1.637.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.637.2024","url":null,"abstract":"Bearings are essential components in mechanical systems, supporting the rotation of various machine parts in motors, wind turbines, vehicles, and industrial robots, making their health critical for system performance and reliability. Traditional diagnosis methods, such as vibration and acoustic analysis, along with temperature monitoring, often demand expertise and may struggle to detect early faults. However, the introduction of deep learning technology has created new opportunities for more effective bearing fault diagnosis. The application of deep learning-based bearing fault diagnosis in the industrial sector has gained significant attention and multiple types of deep learning networks have already been successfully implemented. This paper aims to provide a clear review of bearing fault diagnosis based on deep learning algorithms. This essay focuses on two of the most popular deep learning networks, Autoencoder and Convolutional Neural Networks. Their mechanism and applications are analyzed based on essays and research paper related to the field of bearing fault diagnosis. Finally, conclusions are presented to summarize the current development and point out faced challenges and future trends of these deep learning networks. It is also expected that this narrative not only serves as a cogent overview of the contemporary fault diagnosis technologies but also provides convenience and inspiration for further study in this field.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.56028/aetr.9.1.660.2024
Sitan Shen
The arrival of 5G era has brought many changes in the media field. Visually, the maturity of ultra-high-definition video and VR technology brings a more real perception; In terms of engagement, real-time interaction makes people more engaged and reduces the demands on the user's hardware; In the form of expression, "short video +" will become a direction of contemporary media integration. In addition to these opportunities, the arrival of 5G also comes with risks, and efforts should be made to prevent problems.
{"title":"Application analysis and development forecast of 5G in media field","authors":"Sitan Shen","doi":"10.56028/aetr.9.1.660.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.660.2024","url":null,"abstract":"The arrival of 5G era has brought many changes in the media field. Visually, the maturity of ultra-high-definition video and VR technology brings a more real perception; In terms of engagement, real-time interaction makes people more engaged and reduces the demands on the user's hardware; In the form of expression, \"short video +\" will become a direction of contemporary media integration. In addition to these opportunities, the arrival of 5G also comes with risks, and efforts should be made to prevent problems.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"9 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.56028/aetr.9.1.650.2024
Ziyi Xue
Machine learning was characterized by building models and finding correlations between data features, while logistic regression, decision trees, support vector machines (SVM), random forest (RF) and neural networks were recognized as common ML approaches. Bayesian modeling model uncertainty, which can estimate the features from the dataset directly instead of from sampling distribution. Their roles were extremely useful for the detection and progression for diseases in neuroscience. This review summarize different approaches in various diseases, hoping to introduce the potential roles of biostatistics tools in neuroscience.
机器学习的特点是建立模型和寻找数据特征之间的相关性，而逻辑回归、决策树、支持向量机（SVM）、随机森林（RF）和神经网络被认为是常见的 ML 方法。贝叶斯建模模型具有不确定性，可以直接从数据集而不是从采样分布中估计特征。这些方法对神经科学中疾病的检测和进展非常有用。本综述总结了各种疾病的不同方法，希望能介绍生物统计工具在神经科学中的潜在作用。
{"title":"A survey on common biostatistics tools in neuroscience: Machine learning and Bayesian modeling","authors":"Ziyi Xue","doi":"10.56028/aetr.9.1.650.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.650.2024","url":null,"abstract":"Machine learning was characterized by building models and finding correlations between data features, while logistic regression, decision trees, support vector machines (SVM), random forest (RF) and neural networks were recognized as common ML approaches. Bayesian modeling model uncertainty, which can estimate the features from the dataset directly instead of from sampling distribution. Their roles were extremely useful for the detection and progression for diseases in neuroscience. This review summarize different approaches in various diseases, hoping to introduce the potential roles of biostatistics tools in neuroscience.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.56028/aetr.9.1.242.2024
Shumei Deng, Mingjian Yi, Qiang Zhao, Changyu Liu
The aerosol vertical distribution in the boundary layer is heavily influenced by the boundary layer thermal structure. This paper studied on marine boundary layer (MBL) aerosol and its structure by using satellite lidar measurements. The lidar methodology was improved and applied to the 3-year satellite MBL aerosol observations over Oceans, and a new global ocean dataset was built. The global MBL structure were examined and discussed with the new dataset. Results showed that the BLH generally increases and MLH generally decreases when away from the coast. Further analyze shows that the MBL tends to be more well-mixed with lower BLH, and the aerosol loading shows weaker relationships with U10m under overcast conditions than partly cloudy conditions. This study demonstrated that satellite lidar measurements have the great potential in evaluating and constraining both modeled MBL aerosol optical properties and modeled MBL structure.
{"title":"Study On Marine Boundary Layer Aerosol Structure based on Satellite Observations","authors":"Shumei Deng, Mingjian Yi, Qiang Zhao, Changyu Liu","doi":"10.56028/aetr.9.1.242.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.242.2024","url":null,"abstract":"The aerosol vertical distribution in the boundary layer is heavily influenced by the boundary layer thermal structure. This paper studied on marine boundary layer (MBL) aerosol and its structure by using satellite lidar measurements. The lidar methodology was improved and applied to the 3-year satellite MBL aerosol observations over Oceans, and a new global ocean dataset was built. The global MBL structure were examined and discussed with the new dataset. Results showed that the BLH generally increases and MLH generally decreases when away from the coast. Further analyze shows that the MBL tends to be more well-mixed with lower BLH, and the aerosol loading shows weaker relationships with U10m under overcast conditions than partly cloudy conditions. This study demonstrated that satellite lidar measurements have the great potential in evaluating and constraining both modeled MBL aerosol optical properties and modeled MBL structure.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"30 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140497427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.56028/aetr.9.1.459.2024
Xiaojun Tang, Lixia Liu, Guobao Dai, Zijie Sun, Yaodong Yang, Ao Li
Honeycomb structure is widely used as the main sandwich layer of load-bearing structure in aviation, aerospace and other fields because of its light weight and high strength. Under some service conditions, the deformation of the honeycomb structure affected by high and low temperature will affect the overall mechanical performance of the structure. Therefore, accurate evaluation of the thermal expansion performance of the honeycomb structure becomes the key to structural design. However, the existing measurement methods of thermal expansion coefficient mainly have problems such as the hollow structure cannot be effectively contacted, the area of the grid optical target is limited and difficult to detect. In view of the above conditions, in this paper, a method for measuring the thermal expansion coefficient of honeycomb structure is proposed, and the measurement system is built, and the thermal expansion performance of honeycomb structure is effectively obtained by testing the honeycomb structure. At the same time, the measurement accuracy of the system is verified by using standard test pieces. The experimental results show that the method has high measurement accuracy.
{"title":"Research on Measurement Technology of Coefficient of Thermal Expansion of Honeycomb Structure","authors":"Xiaojun Tang, Lixia Liu, Guobao Dai, Zijie Sun, Yaodong Yang, Ao Li","doi":"10.56028/aetr.9.1.459.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.459.2024","url":null,"abstract":"Honeycomb structure is widely used as the main sandwich layer of load-bearing structure in aviation, aerospace and other fields because of its light weight and high strength. Under some service conditions, the deformation of the honeycomb structure affected by high and low temperature will affect the overall mechanical performance of the structure. Therefore, accurate evaluation of the thermal expansion performance of the honeycomb structure becomes the key to structural design. However, the existing measurement methods of thermal expansion coefficient mainly have problems such as the hollow structure cannot be effectively contacted, the area of the grid optical target is limited and difficult to detect. In view of the above conditions, in this paper, a method for measuring the thermal expansion coefficient of honeycomb structure is proposed, and the measurement system is built, and the thermal expansion performance of honeycomb structure is effectively obtained by testing the honeycomb structure. At the same time, the measurement accuracy of the system is verified by using standard test pieces. The experimental results show that the method has high measurement accuracy.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140497338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.56028/aetr.9.1.471.2024
Qian Li, Zengcai Liang, Taofeng Lu
In this study, different growth characteristics of hematopoietic stem cells and bone marrow mesenchymal stem cells were used to isolate and culture BMSCs by whole bone marrow adhesion method, and RT-PCR was used to detect cell surface markers CD29, CD31, CD34, CD44, CD71, CD73, CD90. The differentiation of osteocytes into adipocytes and osteoblasts was induced in vitro, and the differentiation ability was observed by staining with oil red O and rubinin. To investigate the isolation and culture methods of BMSCs from Guizhou miniature pigs (Sussa lvanius) in vitro, and to study their biological characteristics and potential for multi-differentiation. The results showed that a small number of adherent cells could be seen in the primary BMSCs cultured in vitro within 48 hours, and the confluent cells reached 90% in 5~6 days. The cell growth state was good, and the shape was spindle and polygonal. RT-PCR was used to detect the positive expression of CD29, CD44, CD71, CD73 and CD90 on the cell surface, and the negative expression of CD31 and CD34. Oil red O staining showed the formation of lipid droplets in the cells, and alizarine red staining showed calcium nodules in the cells, indicating that the cells isolated and cultured in this experiment had the ability of multidirection differentiation. It is consistent with the characteristics of BMSCs. The growth of BMSCs cultured in vitro was stable, and the expanded BMSCs had multidirectional differentiation potential, which was an ideal seed cell for tissue engineering.
本研究利用造血干细胞和骨髓间充质干细胞的不同生长特性，采用全骨髓粘附法分离培养BMSCs，并用RT-PCR检测细胞表面标志物CD29、CD31、CD34、CD44、CD71、CD73、CD90。体外诱导成骨细胞分化为脂肪细胞和成骨细胞，并用油红 O 和鲁宾宁染色观察其分化能力。研究贵州小型猪（Sussa lvanius）BMSCs的体外分离和培养方法，并研究其生物学特性和多元分化潜力。结果表明，体外培养的原代BMSCs在48小时内可见少量粘附细胞，5~6天后汇合细胞达到90%。细胞生长状态良好，呈纺锤形和多角形。RT-PCR 检测细胞表面 CD29、CD44、CD71、CD73 和 CD90 阳性表达，CD31 和 CD34 阴性表达。油红 O 染色显示细胞内有脂滴形成，茜素红染色显示细胞内有钙结节，表明本实验分离培养的细胞具有多向分化能力。这符合 BMSCs 的特征。体外培养的 BMSCs 生长稳定，扩增后的 BMSCs 具有多向分化潜能，是理想的组织工程种子细胞。
{"title":"Differentiation Potential Analysis of Bone Marrow Mesenchymal Stem Cells from Guizhou Miniature Pigs","authors":"Qian Li, Zengcai Liang, Taofeng Lu","doi":"10.56028/aetr.9.1.471.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.471.2024","url":null,"abstract":"In this study, different growth characteristics of hematopoietic stem cells and bone marrow mesenchymal stem cells were used to isolate and culture BMSCs by whole bone marrow adhesion method, and RT-PCR was used to detect cell surface markers CD29, CD31, CD34, CD44, CD71, CD73, CD90. The differentiation of osteocytes into adipocytes and osteoblasts was induced in vitro, and the differentiation ability was observed by staining with oil red O and rubinin. To investigate the isolation and culture methods of BMSCs from Guizhou miniature pigs (Sussa lvanius) in vitro, and to study their biological characteristics and potential for multi-differentiation. The results showed that a small number of adherent cells could be seen in the primary BMSCs cultured in vitro within 48 hours, and the confluent cells reached 90% in 5~6 days. The cell growth state was good, and the shape was spindle and polygonal. RT-PCR was used to detect the positive expression of CD29, CD44, CD71, CD73 and CD90 on the cell surface, and the negative expression of CD31 and CD34. Oil red O staining showed the formation of lipid droplets in the cells, and alizarine red staining showed calcium nodules in the cells, indicating that the cells isolated and cultured in this experiment had the ability of multidirection differentiation. It is consistent with the characteristics of BMSCs. The growth of BMSCs cultured in vitro was stable, and the expanded BMSCs had multidirectional differentiation potential, which was an ideal seed cell for tissue engineering.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"42 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140497889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.56028/aetr.9.1.477.2024
Kejie Li, Dian Sun
In the electric field environment of thunderstorm, the tip of a grounded object at a high place is more likely to produce corona discharge and finally cause lightning flash. Therefore, the study of the surface electric field of the grounded object tip in the electric field environment has important theoretical value and practical significance for the analysis of the characteristics of the head-on discharge. Due to the strong singularity of the tip structure, the traditional numerical analysis method cannot accurately calculate its surface electric field. Therefore, the traditional literature usually chamfers the conductor tip, but in lightning physics, researchers are most concerned about the maximum field strength in the local area. In order to study the electric field distribution on the tip conductor surface, a semi-analytical boundary element method is proposed to calculate the tip structure directly. Firstly, the analytical formula of the electric field on the tip conductor surface and the boundary element semi-analytical common method are derived, and the tip conductor model is established to calculate the tip electric field excited by the external electric field using the analytical solution and the semi-analytical method. The correctness of the semi-analytical method is verified by calculating the L2 loss function of the two, and the influence of the tip angle on the semi-analytical calculation results is studied. The results show that for the three-dimensional cone model, the L2 loss function is 10-5, which meets the calculation accuracy. The special treatment of the semi-analytical method at the strong singular integral makes the calculation accuracy much higher than that of the Gaussian integral, where the L2 loss function is greatly reduced. Further, based on the change of tip angle, as the conductor tip becomes sharper, the greater the electric field distortion is, and the greater the L2 loss function is. The research results provide a method reference for the calculation of the electric field on the tip conductor surface.
{"title":"Research on Singularity in Calculation of Induced Electric Field in Pointed Conductors","authors":"Kejie Li, Dian Sun","doi":"10.56028/aetr.9.1.477.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.477.2024","url":null,"abstract":"In the electric field environment of thunderstorm, the tip of a grounded object at a high place is more likely to produce corona discharge and finally cause lightning flash. Therefore, the study of the surface electric field of the grounded object tip in the electric field environment has important theoretical value and practical significance for the analysis of the characteristics of the head-on discharge. Due to the strong singularity of the tip structure, the traditional numerical analysis method cannot accurately calculate its surface electric field. Therefore, the traditional literature usually chamfers the conductor tip, but in lightning physics, researchers are most concerned about the maximum field strength in the local area. In order to study the electric field distribution on the tip conductor surface, a semi-analytical boundary element method is proposed to calculate the tip structure directly. Firstly, the analytical formula of the electric field on the tip conductor surface and the boundary element semi-analytical common method are derived, and the tip conductor model is established to calculate the tip electric field excited by the external electric field using the analytical solution and the semi-analytical method. The correctness of the semi-analytical method is verified by calculating the L2 loss function of the two, and the influence of the tip angle on the semi-analytical calculation results is studied. The results show that for the three-dimensional cone model, the L2 loss function is 10-5, which meets the calculation accuracy. The special treatment of the semi-analytical method at the strong singular integral makes the calculation accuracy much higher than that of the Gaussian integral, where the L2 loss function is greatly reduced. Further, based on the change of tip angle, as the conductor tip becomes sharper, the greater the electric field distortion is, and the greater the L2 loss function is. The research results provide a method reference for the calculation of the electric field on the tip conductor surface.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"36 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140498017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-24DOI: 10.56028/aetr.9.1.454.2024
Yanhui Wei, Yufeng Zhu, Tong Wang
We present in this study two-dimensional numerical simulations of hydrodynamic interaction between red blood cells (RBCs) and worm-like drug carriers in a stenotic microvessel. The dynamics of the blood flow and large deformation of the RBC are fully resolved in the simulations using a fictitious domain/immersed boundary method. We find margination of worm-like drug carriers and this phenomenon depends on factors such as drug stiffness, RBC deformability, and flow velocity. In particular, the stiffer drug carriers has higher probability to migrate and stay in the cell free layer. In additional, tumbling is observed for drug carriers at near wall location and this behavior is not found for RBCs which suggests that the worm-like structure may play an important role. Our investigation provides an understanding of the hemodynamic effects of drug carriers in microcirculation and will help in clinical implementation of drug delivery.
{"title":"Delivery of Worm-like Drug Carriers in Stenotic Mrcovessels: A Simulation Study","authors":"Yanhui Wei, Yufeng Zhu, Tong Wang","doi":"10.56028/aetr.9.1.454.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.454.2024","url":null,"abstract":"We present in this study two-dimensional numerical simulations of hydrodynamic interaction between red blood cells (RBCs) and worm-like drug carriers in a stenotic microvessel. The dynamics of the blood flow and large deformation of the RBC are fully resolved in the simulations using a fictitious domain/immersed boundary method. We find margination of worm-like drug carriers and this phenomenon depends on factors such as drug stiffness, RBC deformability, and flow velocity. In particular, the stiffer drug carriers has higher probability to migrate and stay in the cell free layer. In additional, tumbling is observed for drug carriers at near wall location and this behavior is not found for RBCs which suggests that the worm-like structure may play an important role. Our investigation provides an understanding of the hemodynamic effects of drug carriers in microcirculation and will help in clinical implementation of drug delivery.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"37 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140497899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：