2022 2nd International Conference on Bioinformatics and Intelligent Computing最新文献_第8页

The Effect of Ethanol on Mutant Human Prion Protein using Molecular Dynamics Simulations 利用分子动力学模拟研究乙醇对突变型人朊病毒蛋白的影响

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524536

Kui Xia, Xinpeng Li, J. Xue, Damao Xun, Rongri Tan

{"title":"The Effect of Ethanol on Mutant Human Prion Protein using Molecular Dynamics Simulations","authors":"Kui Xia, Xinpeng Li, J. Xue, Damao Xun, Rongri Tan","doi":"10.1145/3523286.3524536","DOIUrl":"https://doi.org/10.1145/3523286.3524536","url":null,"abstract":"As you know that monohydric alcohols have a great effect on protein structure, and human prion diseases are caused by conformational changes from their natural form to a misfolded state. To illustrate the effect of monohydric alcohols on the structural stability of the mutation V210I, we used the molecular dynamics method to study the dynamic features of single point mutation V210I and mutation V210I with ethanol solution. Our findings show that, while the models' global three-dimensional structure remains relatively unchanged over simulation, the mutation V210I causes local structural and secondary structure alterations, as well as global flexibility modifications. On the other hand, the existence of ethanol molecules results in overall stability compared to others simulations, exhibiting favourable dynamical properties in the secondary structure, solvent accessible surface, and salt bridges, and inhibiting the misfolding of the human prion protein. In conclusion, the simulation suggests that alcohol may provide a feasible idea in the future in-depth study of the transformation mechanism of the prion protein.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025588","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}

引用次数: 0

Application of Bayesian network and non-additivity principle in analyzing dam break risk 贝叶斯网络和非加性原理在溃坝风险分析中的应用

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524563

Yu Chen

{"title":"Application of Bayesian network and non-additivity principle in analyzing dam break risk","authors":"Yu Chen","doi":"10.1145/3523286.3524563","DOIUrl":"https://doi.org/10.1145/3523286.3524563","url":null,"abstract":"The dam break risk analysis, especially for that under the composite action of multiple risk sources, is highly important for implementing dam safety management. To study the complex system problem, this research taken dams in the Dadu river basin as the study case, and combined Bayesian network (BN) and the non-additivity principle to analyze the dam break risk under prominent dam break causes of flood and earthquake. During the research process, literature analysis, historical data, and expert knowledge have been taken firstly to identify the related factors affecting the dam break risk. Furthermore, determine variable nodes of the dam break risk, build a Bayesian network directed acyclic topology model about the dam break risk according to the causal relationship between risk factors, and construct the prior probabilities and conditional probabilities of corresponding nodes. Finally, calculate the risk probabilities under the condition of the same input variables and different variables by using based on Bayesian network reasoning. The results illustrate that the usage of BN in analyzing non-additivity is applicable, and non-additive effects exist when multiple risk factors impact a dam break simultaneously.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577733","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}

引用次数: 0

The Evolution of Marker-based Motion Analysis and the Integration of Advanced Computational Methods: Application to Human Gait Biomechanics 基于标记的运动分析的发展与先进计算方法的集成:在人体步态生物力学中的应用

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524689

Yang Song, István Bíró

{"title":"The Evolution of Marker-based Motion Analysis and the Integration of Advanced Computational Methods: Application to Human Gait Biomechanics","authors":"Yang Song, István Bíró","doi":"10.1145/3523286.3524689","DOIUrl":"https://doi.org/10.1145/3523286.3524689","url":null,"abstract":"Marker-based methods that are applied in motion analysis in the field of biomechanics and rehabilitation have evolved considerably over the past few decades. Although markerless systems have emerged to be an innovative alternative for motion analysis, their accuracy and practicality remain to be further scrutinized. This narrative review primarily aims to summarize the evaluation and current status of marker-based motion analysis methods and together with the emerging computational methods, further highlight their application to human gait biomechanics. Before the advent of 3D digital technology, the 2D image digitization was found to be the most widespread tool for biomechanical motion analysis, such as cine cameras. 2D image digitization analysis could still be used in some specified situations (e.g., sports competition) but caution is needed during manual normalization and digitization. Although several drawbacks remain to be solved, VICON motion analysis system is still one of the most widely utilized 3D marker-based motion analysis method. Based on multiple optical cameras, which emit infrared light, the optoelectronic systems can automatically deduce and calculate the 3D joint coordinate position through the external marker, substantially reduce the processing time and improve the accuracy. In recent year, the integration of advanced computational analysis software (e.g., OpenSim, ANSYS etc.) into motion analysis methods has made the investigation of the internal changes between joints become the current research focus in sports biomechanics and rehabilitation. With the research-oriented coding, these combinations could further contribute to data mining in human gait biomechanics.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126305381","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}

引用次数: 2

A LiNbO3 substrate surface acoustic wave microfluidic chip for patterning of cardiomyocytes 用于心肌细胞图像化的LiNbO3衬底表面声波微流控芯片

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524686

Yongkang Li, T. Zheng, Changfeng Jia, Xudong Wang, Anpei Li, Yongqing Fu

{"title":"A LiNbO3 substrate surface acoustic wave microfluidic chip for patterning of cardiomyocytes","authors":"Yongkang Li, T. Zheng, Changfeng Jia, Xudong Wang, Anpei Li, Yongqing Fu","doi":"10.1145/3523286.3524686","DOIUrl":"https://doi.org/10.1145/3523286.3524686","url":null,"abstract":"Cardiovascular diseases continue to threaten human life, health and safety. Among various treatment methods, myocardial tissue engineering is one of the important methods to solve the problem of cardiovascular disease. The main goal of myocardial tissue engineering is to make the synthetic or repaired myocardium have its original physiological function, and the pattering of myocardium cells into a regular directional arrangement is one of the most challenging techniques. Therefore, in this study, a surface acoustic wave microfluidic chip with LiNbO3 as the piezoelectric substrate was designed to meet the needs of patterned arrangement of cardiomyocytes. Firstly, this study introduces the preparation method of the microfluidic chip based on LiNbO3. The microfluidic chip is used to carry out the patterning simulation experiment of cardiomyocytes, and it is verified that the surface acoustic wave can make the silica particles oriented in the flow channel. The micro-channel is used to simulate the growth environment of cardiomyocytes. Secondly, by analyzing the experimental results, it is concluded that the surface acoustic wave microfluidic chip designed in this study possesses patterned particles, demonstrating its application potential in repairing the damaged surface of myocardial tissue. Finally, a surface acoustic wave microfluidic chip based on LiNbO3 was used to arrange cardiomyocytes in the hydrogel. Scanning the solidified myocardial fibers, it is concluded that the directional arrangement of the internal myocardial cells of the myocardial fibers obtained from the experiment is consistent with the theory. Demonstrated the huge application potential of LiNbO3 substrate surface acoustic wave microfluidic chip for cardiomyocyte patterning in myocardial tissue engineering.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116092175","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}

引用次数: 0

Application of Cellular Signaling Data in Monitoring Human Activities in Nature Reserves 细胞信号数据在自然保护区人类活动监测中的应用

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524598

Chunxiao Wang, RuiWu Jiang, Tuiliang Feng, S. Sun, Wei-Min Wen

引用次数: 0

Internationalization of TCM and Mobile Health Application under the Mode of "Internet + TCM" “互联网+中医药”模式下的中医药国际化与移动健康应用

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524523

Qun Xie, Bailin Song

引用次数: 0

China's farm film utilization efficiency during 2001-2015: based on the total factor productivity 2001-2015年中国农膜利用效率——基于全要素生产率

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524559

Xiuquan Huang, Xi Wang, Zhang Tao, Baoxin Chen, Yang Shen, Fanbo Li

引用次数: 0

Feature Fusion with Non-local for Pedestrian Attribute Recognition 非局部特征融合行人属性识别

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524581

Jiping Lv, Zhenghua Xiong, Rongfang Zou, Zhangying Wen, Hongli Lin

引用次数: 1

Abalone counting based on improved Faster R-CNN 基于改进更快R-CNN的鲍鱼计数

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524542

Mingguo Ye, Juan Li

引用次数: 0

Speech Assistant System for Anesthesia Surgery Based on Intelligent Decision Algorithm 基于智能决策算法的麻醉手术语音辅助系统

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524567

Pengfei Jia, Hongbo Yang

引用次数: 0