{"title":"Controlling the heterogeneous vancomycin intermediated Staphylococcus aureus (hVISA) through the use of Rosmarinus officinalis L. leaves extract","authors":"Osamah Z. Al-Hayali, M. Al-Marjani, A. Maleki","doi":"10.33640/2405-609x.3264","DOIUrl":"https://doi.org/10.33640/2405-609x.3264","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44030042","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":"An Enhanced Diabetic Foot Ulcer Classification Approach Using GLCM and Deep Convolution Neural Network","authors":"H. A. Ismael, Nabeel Al-A'araji, B. K. Shukur","doi":"10.33640/2405-609x.3268","DOIUrl":"https://doi.org/10.33640/2405-609x.3268","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45644584","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":"Magnéli Phase Titanium Sub-Oxide Production using a Hydrothermal Process","authors":"Mohanad Q. Fahem, T. A. Hassan","doi":"10.33640/2405-609x.3265","DOIUrl":"https://doi.org/10.33640/2405-609x.3265","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44258799","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}
J. Jayanudin, R. S. D. Lestari, I. Kustiningsih, Dandi Irawanto, Rozak Rozak, Reyonaldo L. A. Wardana, Fakhri Muhammad
{"title":"Sustainable material for urea delivery based on chitosan cross-linked by glutaraldehyde saturated toluene: Characterization and determination of the release rate mathematical model","authors":"J. Jayanudin, R. S. D. Lestari, I. Kustiningsih, Dandi Irawanto, Rozak Rozak, Reyonaldo L. A. Wardana, Fakhri Muhammad","doi":"10.33640/2405-609x.3266","DOIUrl":"https://doi.org/10.33640/2405-609x.3266","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47969745","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":"Prediction of refractive indices and molecular radii of binary mixtures of Polyethylene glycol (PEG-200,400) and cyclic ethers: Insight into molecular interactions","authors":"Monika Dhiman, A. Upmanyu, Pankaj Kumar, D. Singh","doi":"10.33640/2405-609x.3270","DOIUrl":"https://doi.org/10.33640/2405-609x.3270","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45864587","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":"Characterization of Algerian apricots (Prunus armeniaca) using morphological and pomological markers","authors":"Kaouther Boutiti, I. Bellil, D. Khelifi","doi":"10.33640/2405-609x.3263","DOIUrl":"https://doi.org/10.33640/2405-609x.3263","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43052924","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":"Potential use of proteolytic bacteria Paenibacillus dendritiformis (BT7) isolated from Batu tannery effluents for the detergent industry","authors":"C. Masi, Degafneh Tadesse, Abate Ayele","doi":"10.33640/2405-609x.3267","DOIUrl":"https://doi.org/10.33640/2405-609x.3267","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44337265","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}
E. J. Mahdi, A. K. Resen, Ahmed B. Khamees, M. A. Abdulsattar
{"title":"Evaluating Accuracy of Solar Ground Station System Data","authors":"E. J. Mahdi, A. K. Resen, Ahmed B. Khamees, M. A. Abdulsattar","doi":"10.33640/2405-609x.3258","DOIUrl":"https://doi.org/10.33640/2405-609x.3258","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42136332","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. Tatenov, N. Shambulov, Umirbek Baitukayev, A. Ospanova, N. Shinykulova
{"title":"Interactive virtualisation in Java Script of electromagnetism when changing the dynamic, static parameters of ferromagnetics","authors":"A. Tatenov, N. Shambulov, Umirbek Baitukayev, A. Ospanova, N. Shinykulova","doi":"10.33640/2405-609x.3269","DOIUrl":"https://doi.org/10.33640/2405-609x.3269","url":null,"abstract":"","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49522932","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 The use of social media sites (SMSs) becomes ubiquitous worldwide as the number of users is noticeably increasing. This has led to exploiting such sites by market, business, and educational companies to deliver content that meets users’ personal needs. However, this requires identifying users’ personalities to respond to their individual preferences. This research aims at (1) analyzing users' posts on SMSs to predict their personality based on the Meyers-Briggs Type Indicator (MBTI) model, (2) comparing the performance accuracy of different preprocessing and data mining techniques, and (3) improving the prediction accuracy of users' personality types. The used dataset includes 8668 records in which each raw contains fifty posts. Three data mining techniques are applied namely, support vector machine (SVM), logistic regression (LR), and lightGBM. The findings suggest that lightGBM with the application of stemming, lemmatization, and grid search optimization as well as removing stop-words outperformed other techniques. The prediction accuracies for the four personality dimensions namely, Introversion-Extroversion (I-E), Intuition-Sensing (N-S), Feeling-Thinking (F-T), and Judging-Perceiving (J-P) are 100.0%. The research outcomes are promising as the four dimensions of MBTI have been identified effectively. Such outcomes are also compared with earlier research on personality prediction. This study can help SMSs providers, businesses, and educational institutions adapt their online sites based on users’ posts, tweets, and comments that can be used to predict their personality behavior.
摘要随着用户数量的显著增加，社交媒体网站（SMS）的使用在全球范围内变得无处不在。这导致市场、商业和教育公司利用这些网站来提供满足用户个人需求的内容。然而，这需要识别用户的个性，以响应他们的个人偏好。本研究旨在（1）基于Meyers-Briggs Type Indicator（MBTI）模型，分析用户在短信上的帖子，预测其性格；（2）比较不同预处理和数据挖掘技术的性能准确性；（3）提高用户性格类型的预测准确性。所使用的数据集包括8668条记录，其中每条原始记录包含50个帖子。应用了三种数据挖掘技术，即支持向量机（SVM）、逻辑回归（LR）和lightGBM。研究结果表明，lightGBM在词干、引理、网格搜索优化以及去除停止词方面的应用优于其他技术。对内向-外向（I-E）、直觉感知（N-S）、感觉思维（F-T）和判断感知（J-P）四个人格维度的预测准确率为100.0%。这些结果也与早期的人格预测研究进行了比较。这项研究可以帮助短信提供商、企业和教育机构根据用户的帖子、推文和评论来调整他们的在线网站，这些帖子、推特和评论可以用来预测他们的个性行为。
{"title":"Predicting Users’ Personality on Social Media: A Comparative Study of Different Machine Learning Techniques","authors":"Ali Saadi Al-Fallooji, Ahmed Al-Azawei","doi":"10.33640/2405-609x.3262","DOIUrl":"https://doi.org/10.33640/2405-609x.3262","url":null,"abstract":"Abstract The use of social media sites (SMSs) becomes ubiquitous worldwide as the number of users is noticeably increasing. This has led to exploiting such sites by market, business, and educational companies to deliver content that meets users’ personal needs. However, this requires identifying users’ personalities to respond to their individual preferences. This research aims at (1) analyzing users' posts on SMSs to predict their personality based on the Meyers-Briggs Type Indicator (MBTI) model, (2) comparing the performance accuracy of different preprocessing and data mining techniques, and (3) improving the prediction accuracy of users' personality types. The used dataset includes 8668 records in which each raw contains fifty posts. Three data mining techniques are applied namely, support vector machine (SVM), logistic regression (LR), and lightGBM. The findings suggest that lightGBM with the application of stemming, lemmatization, and grid search optimization as well as removing stop-words outperformed other techniques. The prediction accuracies for the four personality dimensions namely, Introversion-Extroversion (I-E), Intuition-Sensing (N-S), Feeling-Thinking (F-T), and Judging-Perceiving (J-P) are 100.0%. The research outcomes are promising as the four dimensions of MBTI have been identified effectively. Such outcomes are also compared with earlier research on personality prediction. This study can help SMSs providers, businesses, and educational institutions adapt their online sites based on users’ posts, tweets, and comments that can be used to predict their personality behavior.","PeriodicalId":17782,"journal":{"name":"Karbala International Journal of Modern Science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49127658","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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