{"title":"Variety, Quantity or Price, the Source of Dynamics of China's High-tech Products Exports to 16 CEECs","authors":"Zhuiqiao Jin, Yitong Zhou, Junxian Jiang","doi":"10.1109/ICITBE54178.2021.00058","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00058","url":null,"abstract":"Central and Eastern European countries and China have a high degree of strategic development convergence and great potential for cooperation. In this paper we analyze the dynamic sources of China's high-tech products exports to CEECs by using the HS6 quantile trade data of the UN Comtrade Statistics Database. We analyzed the current situation of high-tech product exports from 2004 to 2018. Then the export growth is explored in conjunction with the nonparametric S-W test. The results of the study finally show that the exports of China's high-tech products to CEECs are mostly driven by variety and quantity.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126360852","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}
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icitbe54178.2021.00003","DOIUrl":"https://doi.org/10.1109/icitbe54178.2021.00003","url":null,"abstract":"","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992062","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}
{"title":"Comparison of aging effect between cardiac complexity and baroreceptor sensitivity","authors":"Yi-Homg Lai, Yi Yuan, Yu-Xian Liang, Jia-Han Yu","doi":"10.1109/ICITBE54178.2021.00068","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00068","url":null,"abstract":"Through adjusting the heart rate, the human physiological system can adapt to the needs of different environments. However, this kind of adjustment capability will get worse by aging effect. Cardiac complex and Baroreceptor sensitivity are good indexes to measure the aging effect. BRS can be regarded as the transfer function of heart rate and blood pressure in a short time. Unfortunately, it is not convenient to measure the continuous systolic blood pressure. In this study, we use pulse transit time as a surrogate signal of SBP. The modified BRS algorithm was validation with the Physionet Fantasia Database (elder group: 6.37 ± 4.19; young group: 13.49 ± 5.14; p=0.0032). The result shows that both Cardiac complexity and the proposed modified BRS method are the good indexes to evaluate the aging effect.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116544161","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}
Fujiang Yang, Xinting Zhang, B. Yan, Lei Liu, Lijuan Tang, Feifei Wang, J. Lin, Ningning Hu, Xiaofeng Qiu, L. Song
{"title":"The Influence of Energy Distribution on Organic Magnetoconductance","authors":"Fujiang Yang, Xinting Zhang, B. Yan, Lei Liu, Lijuan Tang, Feifei Wang, J. Lin, Ningning Hu, Xiaofeng Qiu, L. Song","doi":"10.1109/ICITBE54178.2021.00054","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00054","url":null,"abstract":"Organic materials usually have amorphous structures that cause complex energy distributions. Therefore, energy distribution is an important factor for the transport properties of organic devices and will affect their magnetoconductance. Under the effect of an external magnetic field and hyperfine interaction, we suggest a spin-dependent hopping mechanism to study the giant magnetoconductance observed in nonmagnetic organic devices. In our work, the calculated results are in good agreement with the experimental data. Moreover, we compared the results of a Gaussian distribution with that of a uniform distribution and analyzed the effect of these different distributions on the transport of the system. Our work will be helpful for understanding transport properties and magnetoconductance of organic devices.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"43 1116-1117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132744671","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}
Li Ruiyu, Li Yue, Ling-Yu Xing, L. Meng, Guo Weiya, Hou Jinjie
{"title":"Effect of \"Ying Wei Fang plus or minus\" on patients with type 2 diabetes complicated with depression","authors":"Li Ruiyu, Li Yue, Ling-Yu Xing, L. Meng, Guo Weiya, Hou Jinjie","doi":"10.1109/ICITBE54178.2021.00078","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00078","url":null,"abstract":"Objective: To study the effect of \"yingwei fang plus or minus\" on patients with type 2 diabetes complicated with depression. Methods: 39 cases of type 2 diabetes complicated with depression were observed, including 14 cases of Yin deficiency and desiccation, 10 cases of qi and Yin deficiency and 15 cases of Yin and Yang deficiency. All of them took \"Ying Wei Addition and reduction prescription\" capsules orally, 5 capsules each time, 3 times a day, and combined with the dialectical treatment of Traditional Chinese medicine, hypoglycemic and other conventional treatment. Results of hamD-24 depression Scale score and hemoglobin measurement before treatment and 30 days after treatment: The HAM score of diabetes patients with depression in Yin deficiency and desiccant heat type, qi and Yin deficiency type and Yin and Yang deficiency type all changed to different degrees before and after treatment (P<0.05);Compared with the dry heat type of Yin deficiency, the dry heat type of Yin deficiency improved significantly (P<0.05).The levels of hBA1C in all groups were significantly decreased after treatment (P < 0.05).However, there was no significant difference among all groups (P < 0.05).Conclusion: \"Yingwei fang plus or minus\" can improve the glycosylated hemoglobin and depression in patients with type 2 diabetes combined with depression.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131935126","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}
Ping Zhang, Le Su, Yue Su, Xiuyu Ji, Qiulin Yue, Chen Zhao, Song Zhang, Xin-Ping Sun, Lin Zhao
{"title":"The therapeutic effects in Inflammatory Bowel Disease of Functional oligosaccharide combined with probiotic","authors":"Ping Zhang, Le Su, Yue Su, Xiuyu Ji, Qiulin Yue, Chen Zhao, Song Zhang, Xin-Ping Sun, Lin Zhao","doi":"10.1109/ICITBE54178.2021.00099","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00099","url":null,"abstract":"In the world, the incidence of Inflammatory Bowel Disease (IBD) caused by the imbalance of intestinal flora is increasing year by year. The traditional medicines usually have side effects. Many studies reported that administration of functional oligosaccharides alone or with probiotic and synbiotics presented a promising potential to treat IBD. Therefore, this review focused on the therapeutic effects of oligosaccharides combined with probiotic in IBD treatment.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114311991","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}
{"title":"Design of quantum filter for hybrid quantum-classical convolutional neural networks","authors":"Yun-Yun Wang, Chao Chen, Wei Huang","doi":"10.1109/ICITBE54178.2021.00024","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00024","url":null,"abstract":"Convolutional neural networks are widely used in image recognition problems as they have many advantages compared to other techniques. Parametrized quantum circuit, at the same time, is widely used for supervised learning task like images classification. Here we design two quantum filters for hybrid quantum-classical convolutional neural network for image recognition tasks using parametrized quantum circuit. We demonstrate the potential of these quantum filters by applying them to UCI digits dataset, and show that the hybrid quantum-classical convolutional neural network can accomplish classification tasks with a high learning accuracy. To explore how the quantum filter enhances the feature mapping process, we carry out a series of simulation experiments on different parametrized quantum circuit structure, quantum filter depth, and tasks of varying difficulty. The proposed quantum filters achieve excellent classification accuracy under a limited number of qubits available in current hardware, indicating the promising application potential of it in image recognition.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122669774","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}
{"title":"Dynamic response of a class of fractional-order biomedical model under fractional delay feedback","authors":"Zhoujin Cui, Zisen Mao, Xiaorong Zhang","doi":"10.1109/ICITBE54178.2021.00077","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00077","url":null,"abstract":"In the present paper, the dynamical response of a class of fractional-order biomedical model under fractional delay feedback is studied. Using the averaging method, the approximate analytical solution and the amplitude-frequency equation are obtained. The influence of fractional delay feedback parameters on the complex dynamic behavior of fractional-order Willis aneurysm system is studied. The obtained results are very useful in the clinical diagnosis and treatment of cerebral aneurysms.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793478","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}
Xiuyu Ji, Xinli Liu, Deqiang Zhu, Zhenshang Xu, Yaqi Chu, Song Zhang
{"title":"Grifola Frondosa Polysaccharides affects gut microbiota and lipid profiles depended on the molecular weight in mice","authors":"Xiuyu Ji, Xinli Liu, Deqiang Zhu, Zhenshang Xu, Yaqi Chu, Song Zhang","doi":"10.1109/ICITBE54178.2021.00080","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00080","url":null,"abstract":"Figuring out the effect of Grifola frondosa Polysaccharide (GFP) on gut microbiota is increasingly recognized because of its widespread use in medicine area. In the present study, we investigated the potential influences of GFP with five molecular weight ranges on the gut microbiota, lipid content in serum and livers, and metabolic pathways in mice. GFP with each molecular weight range significantly changed the composition of the gut microbiota. Compared with the control (CK) group, GFP with five molecular weight ranges significantly changed Beta-diversity of the gut microbiota, especially EG3 (30-50k Dalton) group and the EG5 (⩾100k Dalton) group. GFP with five molecular weight ranges had no significant effect on the lipid profiles of the content of triglycerides (TG), total cholesterol (T-CHO), high density lipoprotein (HDL-C) and low density lipoprotein (LDL-C) in serum. The EG4 (50-100k Dalton) group obviously reduced the content of TG and T-CHO, slightly increased the content of HDL-C, and slightly changed the content of LDL-C in liver. The EG1 (⩽10k Dalton) group, the EG2 (10-30k Dalton) group, the EG3 group and the EG5 group made the KEGG pathways changed. These findings illustrated that GFP positively affected the microbial environment in the gut microbiota and offered the experimental evidence for preparation of multi-functional diet or medicine.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111659","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}
{"title":"A Text Classification Method Based on Graph Attention Networks","authors":"Yong Liu, Xiangnan Gou","doi":"10.1109/ICITBE54178.2021.00017","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00017","url":null,"abstract":"With the rapid generation and dissemination of information data in modern society, intelligent processing of text classification is becoming more and more important. The Sequential and Graph-based deep learning models are often used in Natural Language Processing (NLP). The Sequential model usually uses Recurrent Neural Network (RNN), Convolutional Neural Network (CNN) and Bidirectional Encoder Representations from Transformers (BERT) The model performs natural language processing. The graph-based depth model uses the Co-occurrence relationship between texts to learn the characteristics of texts and texts for classification. In this paper, we use RNN to preliminarily calculate the features in the text as the node of the graph, construct a graph with the help of the modification relationship between texts, and then use the graph model to obtain the final text features used to predict the text category. The experiment was compared with a variety of methods through a variety of data sets, and the results showed that the method in this paper achieved better results on the text data set used for emotion classification, and the accuracy rate reached 82.03%.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"9 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841569","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}