Because the medial longitudinal arch of high arched foot is too high, the elasticity of the foot arch is weakened. Compared with the balanced force on the sole of normal foot, the stability and buffering of the high arched foot are poor. Foot orthosis can effectively improve the dynamic plantar load of patients with high arch, reduce foot injury and relieve foot fatigue. In this paper, the effect of plantar orthosis on plantar pressure distribution and the characteristics of gait and posture of patients with high arched foot are analyzed and verified. The JasencoJsp (jasenco, JSP-C5, France) plantar pressure test system and the Sennotech Insole X dynamic gait analysis system are used to test a representative patient with high arched foot. The data of plantar pressure distribution, peak pressure, gait phase within a gait cycle, as well as foot microscopic characteristics before and after wearing the plantar orthosis are collected. The results show that the plantar orthosis can effectively reduce the plantar peak pressure and improve the plantar pressure distribution, so that the plantar pressure is relatively evenly distributed in the front, middle and rear foot. At the same time, the insufficient pronation during foot movement has been improved, the excessive tension of plantar fascia has been alleviated and the risk of abnormal gait such as varus has been reduced.
{"title":"Study on the effect of plantar orthosis on plantar pressure and gait & posture of high arched foot","authors":"Lin Li, Liang Yan, Xupeng Wang, Xinqin Gao","doi":"10.1145/3570773.3570881","DOIUrl":"https://doi.org/10.1145/3570773.3570881","url":null,"abstract":"Because the medial longitudinal arch of high arched foot is too high, the elasticity of the foot arch is weakened. Compared with the balanced force on the sole of normal foot, the stability and buffering of the high arched foot are poor. Foot orthosis can effectively improve the dynamic plantar load of patients with high arch, reduce foot injury and relieve foot fatigue. In this paper, the effect of plantar orthosis on plantar pressure distribution and the characteristics of gait and posture of patients with high arched foot are analyzed and verified. The JasencoJsp (jasenco, JSP-C5, France) plantar pressure test system and the Sennotech Insole X dynamic gait analysis system are used to test a representative patient with high arched foot. The data of plantar pressure distribution, peak pressure, gait phase within a gait cycle, as well as foot microscopic characteristics before and after wearing the plantar orthosis are collected. The results show that the plantar orthosis can effectively reduce the plantar peak pressure and improve the plantar pressure distribution, so that the plantar pressure is relatively evenly distributed in the front, middle and rear foot. At the same time, the insufficient pronation during foot movement has been improved, the excessive tension of plantar fascia has been alleviated and the risk of abnormal gait such as varus has been reduced.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736505","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}
Gongzheng Tang, Tianming Liu, Xunsheng Cai, Sida Gao, Lijun Fu
The task of clinical terminology standardization is an indispensable part of medical information statistics works. Clinical terms often have problems with colloquial terminology and diversity of expression in clinical practice. Therefore, there are many different ways of writing the same diagnosis, procedure, symptom, etc. Clinical terminology standardization is to correspond a descriptive text of a non-standard Chinese clinical term to a given standard word in the Chinese clinical terminology database. This paper focuses on Chinese clinical texts, ERNIE-health is used as an implied semantic scoring module to generate candidate answers based on text similarity retrieval, and tested on the Chinese data set of medical professionals based on SNOMED CT annotation for the first time. Experiments show that this method has achieved good results in practical application.
{"title":"Standardization of clinical terminology based on hybrid recall and Ernie","authors":"Gongzheng Tang, Tianming Liu, Xunsheng Cai, Sida Gao, Lijun Fu","doi":"10.1145/3570773.3570782","DOIUrl":"https://doi.org/10.1145/3570773.3570782","url":null,"abstract":"The task of clinical terminology standardization is an indispensable part of medical information statistics works. Clinical terms often have problems with colloquial terminology and diversity of expression in clinical practice. Therefore, there are many different ways of writing the same diagnosis, procedure, symptom, etc. Clinical terminology standardization is to correspond a descriptive text of a non-standard Chinese clinical term to a given standard word in the Chinese clinical terminology database. This paper focuses on Chinese clinical texts, ERNIE-health is used as an implied semantic scoring module to generate candidate answers based on text similarity retrieval, and tested on the Chinese data set of medical professionals based on SNOMED CT annotation for the first time. Experiments show that this method has achieved good results in practical application.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114814909","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}
The appearance of the lower extremity exoskeleton can be traced back to 1890, a machine designed by the Russians to help bounce and run. After more than 100 years of development, the functions of exoskeleton robots have gradually diversified. Currently, exoskeletons are mainly used in the medical and military industries. This article will analyze the mechanical structure of several lower-extremity exoskeleton robots in recent decades. Then it summarizes the basic requirements when designing the exoskeleton mechanical structure, and the future development direction.
{"title":"Analyzing Mechanical Structure of Lower Extremity Exoskeleton","authors":"Lihan Yang","doi":"10.1145/3570773.3570844","DOIUrl":"https://doi.org/10.1145/3570773.3570844","url":null,"abstract":"The appearance of the lower extremity exoskeleton can be traced back to 1890, a machine designed by the Russians to help bounce and run. After more than 100 years of development, the functions of exoskeleton robots have gradually diversified. Currently, exoskeletons are mainly used in the medical and military industries. This article will analyze the mechanical structure of several lower-extremity exoskeleton robots in recent decades. Then it summarizes the basic requirements when designing the exoskeleton mechanical structure, and the future development direction.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123180095","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}
In the field of robot navigation, Path Planning is a very important problem. Reasonable Path Planning can greatly improve the efficiency of transportation and ensure the safety of robots. The traditional Path Planning method solves the problem of an optimal path to some extent, but it is far from enough. With Machine Learning becoming a hot topic, Path Planning using Reinforcement Learning and Deep Reinforcement Learning has been studied. Q-learning, as a basic algorithm of Reinforcement Learning, has been applied for a long time and has been improved by combining multiple algorithms. And Deep Q-network, a classical algorithm of Deep Reinforcement Learning, has been used to solve complex problems which traditional Reinforcement Learning cannot solve, particularly in Path Planning. This article will present the current achievements in the Improvement of Q-learning (IQL) and Deep Q-network (DQN). In the future, Reinforcement Learning and Deep Reinforcement Learning will generate more and better algorithms to solve problems with higher complexity and need shorter response times.
{"title":"A Review of Path Planning Based on IQL and DQN","authors":"Yuhang Ye","doi":"10.1145/3570773.3570808","DOIUrl":"https://doi.org/10.1145/3570773.3570808","url":null,"abstract":"In the field of robot navigation, Path Planning is a very important problem. Reasonable Path Planning can greatly improve the efficiency of transportation and ensure the safety of robots. The traditional Path Planning method solves the problem of an optimal path to some extent, but it is far from enough. With Machine Learning becoming a hot topic, Path Planning using Reinforcement Learning and Deep Reinforcement Learning has been studied. Q-learning, as a basic algorithm of Reinforcement Learning, has been applied for a long time and has been improved by combining multiple algorithms. And Deep Q-network, a classical algorithm of Deep Reinforcement Learning, has been used to solve complex problems which traditional Reinforcement Learning cannot solve, particularly in Path Planning. This article will present the current achievements in the Improvement of Q-learning (IQL) and Deep Q-network (DQN). In the future, Reinforcement Learning and Deep Reinforcement Learning will generate more and better algorithms to solve problems with higher complexity and need shorter response times.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193102","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}
In this paper, the problem of wear and failure for artificial knee joint are reviewed; Firstly, total knee arthroplasty (TKA) is described in detail. Secondly, the geometric design of the prosthesis, material properties and surface treatment are fully elaborated. Then, the laws of joint friction and wear, contact stress distribution, as well as lower limb force line change are summarized. Finally, three methods are concluded and advised to restrain the wear and failure for artificial knee, and the real-time monitoring equipment is recommended can be implanted in the patient's body to record the actual use of the prosthesis. The results of this study can provide theoretical support for the matching design, inhibition of friction and wear to artificial knee joint.
{"title":"A review on the wear and failure suppression of artificial knee joint","authors":"Wenhui Chen, Yu-cheng Guo, Yimo Han, Xupeng Wang","doi":"10.1145/3570773.3570879","DOIUrl":"https://doi.org/10.1145/3570773.3570879","url":null,"abstract":"In this paper, the problem of wear and failure for artificial knee joint are reviewed; Firstly, total knee arthroplasty (TKA) is described in detail. Secondly, the geometric design of the prosthesis, material properties and surface treatment are fully elaborated. Then, the laws of joint friction and wear, contact stress distribution, as well as lower limb force line change are summarized. Finally, three methods are concluded and advised to restrain the wear and failure for artificial knee, and the real-time monitoring equipment is recommended can be implanted in the patient's body to record the actual use of the prosthesis. The results of this study can provide theoretical support for the matching design, inhibition of friction and wear to artificial knee joint.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129218688","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}
Bipolar disorder (BD) is a highly pathological disorder that is often misdiagnosed or undiagnosed. The main treatment is a combination of psychotherapy and medication. Traditional psychotherapy is affected by factors such as time, space, shortage of professional psychotherapists and patients' stigma, and has low availability. In terms of drug therapy, patients' medication compliance is poor, leading to repeated illness. The epidemic of coronavirus in 2019, closed management and telemedicine provide new ideas for the treatment of BD. Telemedicine can provide convenient medical services, promote disease rehabilitation, effectively guide patients' self-management, improve patients' treatment compliance, and prevent disease recurrence. This paper analyzes and summarizes the research related to telemedicine in BD, including the origin and significance, technical methods and application effects. To provide a reference for the application of telemedicine in patients with BD.
{"title":"Application progress of telemedicine in bipolar disorder patients under the COVID-19 pandemic","authors":"Wanhui Guo, Maorong Hu, Xishuang Feng","doi":"10.1145/3570773.3570837","DOIUrl":"https://doi.org/10.1145/3570773.3570837","url":null,"abstract":"Bipolar disorder (BD) is a highly pathological disorder that is often misdiagnosed or undiagnosed. The main treatment is a combination of psychotherapy and medication. Traditional psychotherapy is affected by factors such as time, space, shortage of professional psychotherapists and patients' stigma, and has low availability. In terms of drug therapy, patients' medication compliance is poor, leading to repeated illness. The epidemic of coronavirus in 2019, closed management and telemedicine provide new ideas for the treatment of BD. Telemedicine can provide convenient medical services, promote disease rehabilitation, effectively guide patients' self-management, improve patients' treatment compliance, and prevent disease recurrence. This paper analyzes and summarizes the research related to telemedicine in BD, including the origin and significance, technical methods and application effects. To provide a reference for the application of telemedicine in patients with BD.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128034889","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}
Artificial intelligence (AI), a new branch of research in computer science, has been applied to a variety of fields in recent years and has received increasing attention from research scholars. Since the outbreak of the new epidemic, AI has played an extremely important role in the diagnosis of the epidemic, the development of drugs, and the mental health of patients. This paper summarises some of the current applications of AI technology during the epidemic, to contribute to the control of the epidemic and the development of AI technology.
{"title":"Current status of the application of artificial intelligence technology in the prevention and control of novel infectious coronavirus pneumonia","authors":"Huaru Wang, Yanhua Jin","doi":"10.1145/3570773.3570810","DOIUrl":"https://doi.org/10.1145/3570773.3570810","url":null,"abstract":"Artificial intelligence (AI), a new branch of research in computer science, has been applied to a variety of fields in recent years and has received increasing attention from research scholars. Since the outbreak of the new epidemic, AI has played an extremely important role in the diagnosis of the epidemic, the development of drugs, and the mental health of patients. This paper summarises some of the current applications of AI technology during the epidemic, to contribute to the control of the epidemic and the development of AI technology.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127881197","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}
This paper is proposing to develop biosensor to detect small molecular protein like insulin via DNA aptamers. Small molecular weight proteins play important roles in several diagnostic detections. Aptamer-based detectors have extraordinary properties compare to traditional immunodetection. This paper is proposing to develop DNA aptamer-based biosensor which is also a popular topic in the field of sensor.
{"title":"The Development of Aptamer-based Biosensors of Small Molecular Weight Proteins","authors":"Jinming Wang, Kexin Chen, Yatian Li","doi":"10.1145/3570773.3570777","DOIUrl":"https://doi.org/10.1145/3570773.3570777","url":null,"abstract":"This paper is proposing to develop biosensor to detect small molecular protein like insulin via DNA aptamers. Small molecular weight proteins play important roles in several diagnostic detections. Aptamer-based detectors have extraordinary properties compare to traditional immunodetection. This paper is proposing to develop DNA aptamer-based biosensor which is also a popular topic in the field of sensor.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132464095","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}
Accurate detection of pulmonary nodules in CT images is a key task in performing computer-aided diagnosis of pulmonary diseases. In this work, inspired by the successful application of Faster R-CNN in object detection and the superiority of dense convolutional networks in feature propagation, we proposed a modified Faster R-CNN with an improved densely connected network as the backbone for lung nodule detection in medical images. In the proposed network, the backbone for feature extraction can be considered as a combination of multiple densely connected micro-blocks with skip connections. Skip connections in the micro-blocks enhances the propagation of features between layers, thus enable feature reusage. These micro-blocks effectively mitigate the problem of gradient vanishing in feature propagation due to their dense properties. In addition, the compact structure of these micro-blocks facilitates the network to extract and learn CT image features more efficiently. Finally, these micro-blocks have fewer parameters and higher parameter efficiency. The proposed method was tested and evaluated on the public lung nodule dataset LUNA16. When a ten-fold cross validation was performed, the proposed network achieved a FROC score of up to 0.952 and a CPM score of up to 0.861. Experimental results show that the proposed network is capable of detecting pulmonary nodules with higher sensitivity and accuracy than other conventional lung nodule detection methods.
{"title":"Automatic Pulmonary Nodule Detection Using Faster R-CNN Based on Densely Connected Network","authors":"Shangqian Yu, Yulin Wang, Li-Yu Daisy Liu","doi":"10.1145/3570773.3570814","DOIUrl":"https://doi.org/10.1145/3570773.3570814","url":null,"abstract":"Accurate detection of pulmonary nodules in CT images is a key task in performing computer-aided diagnosis of pulmonary diseases. In this work, inspired by the successful application of Faster R-CNN in object detection and the superiority of dense convolutional networks in feature propagation, we proposed a modified Faster R-CNN with an improved densely connected network as the backbone for lung nodule detection in medical images. In the proposed network, the backbone for feature extraction can be considered as a combination of multiple densely connected micro-blocks with skip connections. Skip connections in the micro-blocks enhances the propagation of features between layers, thus enable feature reusage. These micro-blocks effectively mitigate the problem of gradient vanishing in feature propagation due to their dense properties. In addition, the compact structure of these micro-blocks facilitates the network to extract and learn CT image features more efficiently. Finally, these micro-blocks have fewer parameters and higher parameter efficiency. The proposed method was tested and evaluated on the public lung nodule dataset LUNA16. When a ten-fold cross validation was performed, the proposed network achieved a FROC score of up to 0.952 and a CPM score of up to 0.861. Experimental results show that the proposed network is capable of detecting pulmonary nodules with higher sensitivity and accuracy than other conventional lung nodule detection methods.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128483386","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}
According to the research of Jiaozhou Bay seawater in May and October of 1979, this paper studied the changing process of the pH and the horizontal distribution of the bottom waters in Jiaozhou Bay. The bottom waters of Jiaozhou Bay is composed of the bottom waters of the inner side of the bay mouth + the bay mouth + the outer side of the bay mouth. The results showed that in May and October, the pH in the bottom waters of Jiaozhou Bay varied in the range of 7.88∼8.33. The pH of the seawater was greater than 7.80 from May to October. Moreover, the range length of pH change in seawater was 0.45. The results suggested that in terms of the changes of the pH, the pH of the whole bottom waters of Jiaozhou Bay was relatively high and the changes were relatively small in May and October. In May, the pH of the bottom waters of Jiaozhou Bay varied in the range of 7.88∼7.98 and the range length of the seawater pH changes was 0.10. In October, the pH of the bottom waters of Jiaozhou Bay varied in the range of 8.25∼8.33 and the range length of the seawater pH changes was 0.08. In respect of the change of time, from May to October, the seawater pH rose from being lower than 7.98 to higher than 8.25, and changed from being unfavorable for the growth of marine organisms to being favorable for their growth. The range length of the changes of the seawater pH decreased from 0.10 to 0.08, and the seawater pH became more stable which was favorable for the growth of marine organisms. In respect of the change of space, in the bottom waters inside and outside of the bay mouth, from May to October, the seawater pH rose from the low value 7.94∼7.98 to the high value of 8.25∼8.27, which changed from being unfavorable for the growth of marine organisms to being favorable for their growth. In the bottom waters of the mouth of Jiaozhou Bay, from May to October, the seawater pH rose from the minimum of 7.88 to the maximum of 8.33, changing from being unfavorable for the growth of marine organisms to being favorable for the growth. Therefore, in the bottom waters of the mouth of the bay, from May to October, the growth condition of marine organisms directly determined the changing process of the pH in terms of time and space: when the growth of the marine organisms was in bad condition, the seawater pH would drop, otherwise would rise.
{"title":"Interaction process between changes in terms of time and space of pH value and the growth of marine organisms in the Jiaozhou Bay","authors":"Dongfang Yang, Yu Chen, Zaibin Chang","doi":"10.1145/3570773.3570878","DOIUrl":"https://doi.org/10.1145/3570773.3570878","url":null,"abstract":"According to the research of Jiaozhou Bay seawater in May and October of 1979, this paper studied the changing process of the pH and the horizontal distribution of the bottom waters in Jiaozhou Bay. The bottom waters of Jiaozhou Bay is composed of the bottom waters of the inner side of the bay mouth + the bay mouth + the outer side of the bay mouth. The results showed that in May and October, the pH in the bottom waters of Jiaozhou Bay varied in the range of 7.88∼8.33. The pH of the seawater was greater than 7.80 from May to October. Moreover, the range length of pH change in seawater was 0.45. The results suggested that in terms of the changes of the pH, the pH of the whole bottom waters of Jiaozhou Bay was relatively high and the changes were relatively small in May and October. In May, the pH of the bottom waters of Jiaozhou Bay varied in the range of 7.88∼7.98 and the range length of the seawater pH changes was 0.10. In October, the pH of the bottom waters of Jiaozhou Bay varied in the range of 8.25∼8.33 and the range length of the seawater pH changes was 0.08. In respect of the change of time, from May to October, the seawater pH rose from being lower than 7.98 to higher than 8.25, and changed from being unfavorable for the growth of marine organisms to being favorable for their growth. The range length of the changes of the seawater pH decreased from 0.10 to 0.08, and the seawater pH became more stable which was favorable for the growth of marine organisms. In respect of the change of space, in the bottom waters inside and outside of the bay mouth, from May to October, the seawater pH rose from the low value 7.94∼7.98 to the high value of 8.25∼8.27, which changed from being unfavorable for the growth of marine organisms to being favorable for their growth. In the bottom waters of the mouth of Jiaozhou Bay, from May to October, the seawater pH rose from the minimum of 7.88 to the maximum of 8.33, changing from being unfavorable for the growth of marine organisms to being favorable for the growth. Therefore, in the bottom waters of the mouth of the bay, from May to October, the growth condition of marine organisms directly determined the changing process of the pH in terms of time and space: when the growth of the marine organisms was in bad condition, the seawater pH would drop, otherwise would rise.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117283108","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}
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