Pub Date : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863081
Betül Altinsu, Onur Kocak, Ali Akpek
The aim of this study is to make simulations with Matlab/Simulink to be used in the production phase of the autoclave in the sterilization unit. Sterilization unit is very important in terms of hospital employees and patients for protecting from infections and accidents. The study examined autoclave equipments that are fabricated based on the EN standards, then mathematical calculations were performed by 1the references obtained from these calculations. These references transferred as the necessary characteristics for MATLAB/Simulink modelling. By analyzing these characteristics, the impact of the variations throughout the production or development pahese can be predicted by investigating the changes in these characteristics. After this study, it is anticipated to convet this model into prototypes and obtain more tangible result. In this study, embedded sytems are used and the data is transferred to an electronic media. Later, the system will be tested on one of the autoclaves that is currently available on the market. It is planned that by exchanging the mainboard of the autoclave with another mainbored which the new software has installed and inspected on the device, afterwards.
{"title":"Design and analysis of an autoclave simulation using MATLAB/Simulink","authors":"Betül Altinsu, Onur Kocak, Ali Akpek","doi":"10.1109/TIPTEKNO.2016.7863081","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863081","url":null,"abstract":"The aim of this study is to make simulations with Matlab/Simulink to be used in the production phase of the autoclave in the sterilization unit. Sterilization unit is very important in terms of hospital employees and patients for protecting from infections and accidents. The study examined autoclave equipments that are fabricated based on the EN standards, then mathematical calculations were performed by 1the references obtained from these calculations. These references transferred as the necessary characteristics for MATLAB/Simulink modelling. By analyzing these characteristics, the impact of the variations throughout the production or development pahese can be predicted by investigating the changes in these characteristics. After this study, it is anticipated to convet this model into prototypes and obtain more tangible result. In this study, embedded sytems are used and the data is transferred to an electronic media. Later, the system will be tested on one of the autoclaves that is currently available on the market. It is planned that by exchanging the mainboard of the autoclave with another mainbored which the new software has installed and inspected on the device, afterwards.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"124 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123572640","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863123
E. Aribas, M. S. Çelebi
This study investigates the bio-mechanics of one main artery model in a three dimensional analytical cylindrical generated geometry based on a real human artery. Structured geometry is a medium large (celiac) artery. Constant and sinus velocity profile is applied as an interpolated input. Non-Newtonian Carreau viscosity model and fluid-structure interaction (FSI) is applied numerically. Oscillating Shear Index (OSI), Time Averaged Wall Shear Stress Index (TAWSSI) and Relative Residence Time (RRE) as well as velocity, pressure and pressure are studied. As an example, stenosed areas can be studied with the help of the model. Then these values are compared and presented for their importance.
{"title":"Oscillating shear index, time averaged wall shear index, relative residence time analysis in 3D structured analytical artery","authors":"E. Aribas, M. S. Çelebi","doi":"10.1109/TIPTEKNO.2016.7863123","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863123","url":null,"abstract":"This study investigates the bio-mechanics of one main artery model in a three dimensional analytical cylindrical generated geometry based on a real human artery. Structured geometry is a medium large (celiac) artery. Constant and sinus velocity profile is applied as an interpolated input. Non-Newtonian Carreau viscosity model and fluid-structure interaction (FSI) is applied numerically. Oscillating Shear Index (OSI), Time Averaged Wall Shear Stress Index (TAWSSI) and Relative Residence Time (RRE) as well as velocity, pressure and pressure are studied. As an example, stenosed areas can be studied with the help of the model. Then these values are compared and presented for their importance.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121605185","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863110
A. Narin, Y. Isler, M. Özer
Paroxysmal Atrial Fibrillation (PAF) is a very common heart disease caused by irregular impulses of atrial tissue in adult. Diagnosing in the early stages of this disorder is very important for the patients to stop the progression of the disease and to improve the life quality. In this study, it is aimed to predict the PAF event before the realization of the PAF which in 5 minutes for the PAF patients. 30-minute data used in the study were divided into 5-minute parts. Fast Fourier Transform of frequency domain measures of heart rate variability obtained easily and practically is used for each part. The statistical significances among segments and discriminating performances of k-Nearest Neighbors classifier were obtained for each segment using these measurements. Consequently, As a result of statistical analysis, it is shown that patients may be warned 12.5 minutes earlier than a PAF attack.
{"title":"Early prediction of Paroxysmal Atrial Fibrillation using frequency domain measures of heart rate variability","authors":"A. Narin, Y. Isler, M. Özer","doi":"10.1109/TIPTEKNO.2016.7863110","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863110","url":null,"abstract":"Paroxysmal Atrial Fibrillation (PAF) is a very common heart disease caused by irregular impulses of atrial tissue in adult. Diagnosing in the early stages of this disorder is very important for the patients to stop the progression of the disease and to improve the life quality. In this study, it is aimed to predict the PAF event before the realization of the PAF which in 5 minutes for the PAF patients. 30-minute data used in the study were divided into 5-minute parts. Fast Fourier Transform of frequency domain measures of heart rate variability obtained easily and practically is used for each part. The statistical significances among segments and discriminating performances of k-Nearest Neighbors classifier were obtained for each segment using these measurements. Consequently, As a result of statistical analysis, it is shown that patients may be warned 12.5 minutes earlier than a PAF attack.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"50 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643577","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863098
Faruk Aktas, Emre Kavuş, Yunus Kavuş
A patient monitoring system basically includes sensors and a microcontroller. The sensor devices that is capable of sensing many vital physiological and biological data such as body temperature, blood pressure and electrocardiogram (ECG), etc. from human body and sending them to the microcontroller using analog outputs. In this study, a real time infant monitoring system especially for hard of hearing parents, is developed. The proposed system works continuously in real time, monitoring vital physiological signals of an infant and generates alert (vibration and led blink) for abnormal situations. In alert case, both LCD screen and vibrating wristband which are attached to the body warns the parents. An Arduino Leonardo board has been used in system design which is attached by body temperature sensor, finger heartbeat detector and water sensor. The results show that physiological signals from the infant body can successfully and the all alarm condition function up properly.
{"title":"Real time infant health monitoring system for hard of hearing parents","authors":"Faruk Aktas, Emre Kavuş, Yunus Kavuş","doi":"10.1109/TIPTEKNO.2016.7863098","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863098","url":null,"abstract":"A patient monitoring system basically includes sensors and a microcontroller. The sensor devices that is capable of sensing many vital physiological and biological data such as body temperature, blood pressure and electrocardiogram (ECG), etc. from human body and sending them to the microcontroller using analog outputs. In this study, a real time infant monitoring system especially for hard of hearing parents, is developed. The proposed system works continuously in real time, monitoring vital physiological signals of an infant and generates alert (vibration and led blink) for abnormal situations. In alert case, both LCD screen and vibrating wristband which are attached to the body warns the parents. An Arduino Leonardo board has been used in system design which is attached by body temperature sensor, finger heartbeat detector and water sensor. The results show that physiological signals from the infant body can successfully and the all alarm condition function up properly.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132746666","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863096
Mehmet Gümüşay, Fulya Gülbağça, S. Saygili, I. Aydemir, A. Kaya, M. Tuğlu
Chronic wound healing is an important problem especially in diabetic and the elderly which is needed development of the current treatment methods. Electromagnetic fields (EMF) has a significant impact on our body. These fields are being used for bone problems, cartilage regeneration, and pain removal for physiotherapy purposes. Lately, EMFs are often used in in vitro and in vivo assays. In this study, in vivo test results of the applied pulsed electromagnetic fields (PEMF) with our designed Helmholtz coil array system are given. The skin wound healing conducted in rats as an experimental model provides important information for evaluating the efficacy and mechanism of these kind of treatments. For this purpose, effectiveness of PEMF compared to control groups on experimental skin healing effect was examined macroscopically. Compared with the control groups a faster wound healing process was followed by PEMF application at 75 Hz frequency.
{"title":"Design of coils driven by pulsed electromagnetic field generator and the effect of wound healing in rats","authors":"Mehmet Gümüşay, Fulya Gülbağça, S. Saygili, I. Aydemir, A. Kaya, M. Tuğlu","doi":"10.1109/TIPTEKNO.2016.7863096","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863096","url":null,"abstract":"Chronic wound healing is an important problem especially in diabetic and the elderly which is needed development of the current treatment methods. Electromagnetic fields (EMF) has a significant impact on our body. These fields are being used for bone problems, cartilage regeneration, and pain removal for physiotherapy purposes. Lately, EMFs are often used in in vitro and in vivo assays. In this study, in vivo test results of the applied pulsed electromagnetic fields (PEMF) with our designed Helmholtz coil array system are given. The skin wound healing conducted in rats as an experimental model provides important information for evaluating the efficacy and mechanism of these kind of treatments. For this purpose, effectiveness of PEMF compared to control groups on experimental skin healing effect was examined macroscopically. Compared with the control groups a faster wound healing process was followed by PEMF application at 75 Hz frequency.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115190505","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863103
Salim Çinar, Nurettin Acır
Eye movements (saccade, blink and etc.) cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of artefact removal algorithms is to obtain cleaned EEG without losing meaningful EEG signal. The main focus of this work is to remove ocular artefact automatically by using Independent Component Analysis and Chauvenet criterion. The method is tested on real dataset. Relative error and Correlation coefficient are used for the performance test. The performance of the proposed method was Relative error= 0.273±0.148, Correlation coefficients 0.943± 0.042 in the dataset. The results show that the porposed method effectively removes ocular artefacts in EEG.
{"title":"Automatic removal of ocular artefacts in EEG signal by using independent component analysis and Chauvenet criterion","authors":"Salim Çinar, Nurettin Acır","doi":"10.1109/TIPTEKNO.2016.7863103","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863103","url":null,"abstract":"Eye movements (saccade, blink and etc.) cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of artefact removal algorithms is to obtain cleaned EEG without losing meaningful EEG signal. The main focus of this work is to remove ocular artefact automatically by using Independent Component Analysis and Chauvenet criterion. The method is tested on real dataset. Relative error and Correlation coefficient are used for the performance test. The performance of the proposed method was Relative error= 0.273±0.148, Correlation coefficients 0.943± 0.042 in the dataset. The results show that the porposed method effectively removes ocular artefacts in EEG.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128819685","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863115
O. Tan, Mehmet Akif Özçoban, S. Aydın
Obsessive Compulsive Disorders causes disruptive effect on brain oscillations. One of this disruptive effects is loss of synchronization. Global Field Synchronization indice that is calculated by Global Field Synchronization Method can detect degree of synchronization of EEG. According to analysis results, significantly difference was found between Global Field Synchronization Indice of OCD patients and healthy group in theta and delta frequency bands. For the purpose of testing success of GFS method in detecting OCD, GFS values of OCD patients and healthy group classified with Support Vector Machine method. In order to increase the performance of classification model, training and test data was selected by Cross Validation Method. Accuracy rate of classification results was found at 94.75 in delta band and 78.048 percent in theta band. The system can assist the physicians for diagnosing OCD. The classification results has shown that GFS is a successful method for to diagnose OCD.
{"title":"Classification of EEG synchronization values of obsessive compulsive disorders patients using Support Vector Machine Method","authors":"O. Tan, Mehmet Akif Özçoban, S. Aydın","doi":"10.1109/TIPTEKNO.2016.7863115","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863115","url":null,"abstract":"Obsessive Compulsive Disorders causes disruptive effect on brain oscillations. One of this disruptive effects is loss of synchronization. Global Field Synchronization indice that is calculated by Global Field Synchronization Method can detect degree of synchronization of EEG. According to analysis results, significantly difference was found between Global Field Synchronization Indice of OCD patients and healthy group in theta and delta frequency bands. For the purpose of testing success of GFS method in detecting OCD, GFS values of OCD patients and healthy group classified with Support Vector Machine method. In order to increase the performance of classification model, training and test data was selected by Cross Validation Method. Accuracy rate of classification results was found at 94.75 in delta band and 78.048 percent in theta band. The system can assist the physicians for diagnosing OCD. The classification results has shown that GFS is a successful method for to diagnose OCD.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134124","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863122
M. S. Çelik, C. Tepe, H. Baş, Ilyas Eminoglu
In this study, two channels, multifunctional myoelectric prosthesis hand is designed and operated for biomedical and control engineering departments laboratory as experiment apparatus. Various analog signal processing steps are implemented to the surface EMG signals which received on the triceps and biceps muscles. After that signals are conveyed to microcontroller and compared with a threshold value. One function of five different functions is selected by the received signal from triceps muscles and this function is activated by the biceps muscles. The goal of this study is, which includes different types of engineering issues, improving the theoretical and practical knowledge of engineering students.
{"title":"Multifunctional hand prosthesis setup design","authors":"M. S. Çelik, C. Tepe, H. Baş, Ilyas Eminoglu","doi":"10.1109/TIPTEKNO.2016.7863122","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863122","url":null,"abstract":"In this study, two channels, multifunctional myoelectric prosthesis hand is designed and operated for biomedical and control engineering departments laboratory as experiment apparatus. Various analog signal processing steps are implemented to the surface EMG signals which received on the triceps and biceps muscles. After that signals are conveyed to microcontroller and compared with a threshold value. One function of five different functions is selected by the received signal from triceps muscles and this function is activated by the biceps muscles. The goal of this study is, which includes different types of engineering issues, improving the theoretical and practical knowledge of engineering students.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126609857","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863125
M. S. Çelik, Ilyas Eminoglu
This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this method.
{"title":"Fuzzy logic based classification for multifunctional upper limb prostheses","authors":"M. S. Çelik, Ilyas Eminoglu","doi":"10.1109/TIPTEKNO.2016.7863125","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863125","url":null,"abstract":"This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this method.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126218901","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 : 2016-10-01DOI: 10.1109/TIPTEKNO.2016.7863120
Ş. Cinal, M. S. Çelik, I. Sahin, C. Tepe, Ilyas Eminoglu
In this study, Virtual Prosthetic Hand that controlled by single and dual channel sEMG (surface EMG) signals is presented. Virtual hand is designed by Blender 3D that is a powerful graphic modelling tool. Additionally, processing of raw EMG signal is explained with MATLAB. Python software language which has a large library was used for importing and evaluating of signals and for control algorithms. The Presented virtual hand has a modular structure and can be controlled by single and dual sEMG signals. Virtual hand opens, closes at constant speed and remains its position according to the processing signals.
{"title":"Design of prosthetic hand simulator","authors":"Ş. Cinal, M. S. Çelik, I. Sahin, C. Tepe, Ilyas Eminoglu","doi":"10.1109/TIPTEKNO.2016.7863120","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863120","url":null,"abstract":"In this study, Virtual Prosthetic Hand that controlled by single and dual channel sEMG (surface EMG) signals is presented. Virtual hand is designed by Blender 3D that is a powerful graphic modelling tool. Additionally, processing of raw EMG signal is explained with MATLAB. Python software language which has a large library was used for importing and evaluating of signals and for control algorithms. The Presented virtual hand has a modular structure and can be controlled by single and dual sEMG signals. Virtual hand opens, closes at constant speed and remains its position according to the processing signals.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114024374","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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