Mustafa S. Tukmachi, Hikmat J. Abdul-Baqi, F. Hussein
{"title":"Biofunctionalization of polyetheretherketone implant material by bone-forming peptide-2 immobilization","authors":"Mustafa S. Tukmachi, Hikmat J. Abdul-Baqi, F. Hussein","doi":"10.33640/2405-609x.3283","DOIUrl":"https://doi.org/10.33640/2405-609x.3283","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46905090","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}
Kifayah K. Thbayh, Rafid M. Albadr, K. M. Ziadan, Béla Fiser
{"title":"Expanding Potential Dental Applications of Glass Ionomer Cement by Incorporating with Nano-Hydroxyapatite","authors":"Kifayah K. Thbayh, Rafid M. Albadr, K. M. Ziadan, Béla Fiser","doi":"10.33640/2405-609x.3285","DOIUrl":"https://doi.org/10.33640/2405-609x.3285","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44246433","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}
D. Hermanto, N. Ismillayli, Irmawanti Irmawanti, Ilfa Fathulloh, Diska Nila, U. K. Zuryati, H. Muliasari, R. Wirawan
Abstract The role of an antioxidant in cancer prevention has led to the development of its synthesis, including green tea-capped silver nanoparticles (AgNPs), which are natural antioxidants. The biogenic AgNPs were synthesized electrochemically from pure silver wire using local green tea extract for the first time, with a characteristic peak at 420 nm. The method shortened the reaction time and produced long-term stable and narrow-size distribution nanoparticles. The spherical AgNP with an average size of ~17 nm was confirmed in TEM analysis. Furthermore, FTIR analysis and phytochemical assays revealed that the -OH group of flavonoids and terpenoids was responsible for the process. The DPPH method confirmed the higher antioxidant activity of AgNPs than extract, with an IC50 of 54.99 ppm. Hence, the method can be implemented for the large-scale production of pharmaceutical products in treating harmful diseases.
{"title":"Electrochemically Synthesized Biogenic Silver Nanoparticles Using Green Tea Extract as a Promising Antioxidant","authors":"D. Hermanto, N. Ismillayli, Irmawanti Irmawanti, Ilfa Fathulloh, Diska Nila, U. K. Zuryati, H. Muliasari, R. Wirawan","doi":"10.33640/2405-609x.3276","DOIUrl":"https://doi.org/10.33640/2405-609x.3276","url":null,"abstract":"Abstract The role of an antioxidant in cancer prevention has led to the development of its synthesis, including green tea-capped silver nanoparticles (AgNPs), which are natural antioxidants. The biogenic AgNPs were synthesized electrochemically from pure silver wire using local green tea extract for the first time, with a characteristic peak at 420 nm. The method shortened the reaction time and produced long-term stable and narrow-size distribution nanoparticles. The spherical AgNP with an average size of ~17 nm was confirmed in TEM analysis. Furthermore, FTIR analysis and phytochemical assays revealed that the -OH group of flavonoids and terpenoids was responsible for the process. The DPPH method confirmed the higher antioxidant activity of AgNPs than extract, with an IC50 of 54.99 ppm. Hence, the method can be implemented for the large-scale production of pharmaceutical products in treating harmful diseases.","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43873641","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}
Abstract Regular monitoring of physical activities such as walking, jogging, sitting, and standing will help reduce the risk of many diseases like cardiovascular complications, obesity, and diabetes. Recently, much research showed that the effective development of Human Activity Recognition (HAR) will help in monitoring the physical activities of people and aid in human healthcare. In this concern, deep learning models with a novel automated hyperparameter generator are proposed and implemented to predict human activities such as walking, jogging, walking upstairs, walking downstairs, sitting, and standing more precisely and robustly. Conventional HAR systems are unable to manage real-time changes in the surrounding infrastructure. Improved HAR approaches overcome this constraint by integrating multiple sensing modalities. These multiple sensors can produce accurate information, leading to a better perception of activity recognition. The proposed approach uses sensor-level fusion to integrate gyroscope and accelerometer sensors. The analysis is carried out using the widely accepted benchmark UCI-HAR dataset. Based on several performance evaluation experiments, the classification accuracy of long short-term memory (LSTM), convolutional neural network (CNN), and deep neural network (DNN) classifiers is reported to be 96%, 92%, and 93%, respectively. Compared to state-of-the-art deep learning models, the proposed method gives better results.
{"title":"Data Integration Based Human Activity Recognition using Deep Learning Models","authors":"Basamma Patil, D. Ashoka, A. V","doi":"10.33640/2405-609x.3286","DOIUrl":"https://doi.org/10.33640/2405-609x.3286","url":null,"abstract":"Abstract Regular monitoring of physical activities such as walking, jogging, sitting, and standing will help reduce the risk of many diseases like cardiovascular complications, obesity, and diabetes. Recently, much research showed that the effective development of Human Activity Recognition (HAR) will help in monitoring the physical activities of people and aid in human healthcare. In this concern, deep learning models with a novel automated hyperparameter generator are proposed and implemented to predict human activities such as walking, jogging, walking upstairs, walking downstairs, sitting, and standing more precisely and robustly. Conventional HAR systems are unable to manage real-time changes in the surrounding infrastructure. Improved HAR approaches overcome this constraint by integrating multiple sensing modalities. These multiple sensors can produce accurate information, leading to a better perception of activity recognition. The proposed approach uses sensor-level fusion to integrate gyroscope and accelerometer sensors. The analysis is carried out using the widely accepted benchmark UCI-HAR dataset. Based on several performance evaluation experiments, the classification accuracy of long short-term memory (LSTM), convolutional neural network (CNN), and deep neural network (DNN) classifiers is reported to be 96%, 92%, and 93%, respectively. Compared to state-of-the-art deep learning models, the proposed method gives better results.","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44322409","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}
Sama AL-Gburi, Kanar Al-Sammak, Ion Marghescu, C. C. Oprea
{"title":"State of the Art in Drivers’ Attention Monitoring – A Systematic Literature Review","authors":"Sama AL-Gburi, Kanar Al-Sammak, Ion Marghescu, C. C. Oprea","doi":"10.33640/2405-609x.3278","DOIUrl":"https://doi.org/10.33640/2405-609x.3278","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48396734","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}
O. Kostadinova, I. Popov, S. Stankov, H. Kolev, Tamara Petkov
{"title":"Influence of synthesis conditions on the physicochemical and electrocatalytic properties of non-stoichiometric Ba2Sr2La2Ti4O12 perovskites","authors":"O. Kostadinova, I. Popov, S. Stankov, H. Kolev, Tamara Petkov","doi":"10.33640/2405-609x.3272","DOIUrl":"https://doi.org/10.33640/2405-609x.3272","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42184492","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":"Using Ensemble Techniques Based on Machine and Deep Learning for Solving Intrusion Detection Problems: A Survey","authors":"Hadeel Qasem Gheni, W. L. Al-Yaseen","doi":"10.33640/2405-609x.3277","DOIUrl":"https://doi.org/10.33640/2405-609x.3277","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45495603","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":"Role of microorganisms in horticulture to improve plant quality","authors":"D. Prisa","doi":"10.33640/2405-609x.3284","DOIUrl":"https://doi.org/10.33640/2405-609x.3284","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47199387","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}
A. Sakhabutdinov, T. Agliullin, S. Hussein, A. Kuznetsov, V. Anfinogentov, B. I. Valeev
{"title":"Fano-type resonance structures based on combination of fiber Bragg grating with Fabry-Perot interferometer","authors":"A. Sakhabutdinov, T. Agliullin, S. Hussein, A. Kuznetsov, V. Anfinogentov, B. I. Valeev","doi":"10.33640/2405-609x.3279","DOIUrl":"https://doi.org/10.33640/2405-609x.3279","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45756571","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":"SMATS: Single and Multi Automatic Text Summarization","authors":"Siba Prasad Patil, Rasmita Rautray","doi":"10.33640/2405-609x.3281","DOIUrl":"https://doi.org/10.33640/2405-609x.3281","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42937710","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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