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AMachine Learning Approach to Cyberbullying Detection in Arabic Tweets

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Computers, Materials & Continua 2024年第7期80卷 1033-1054页

作者： Dhiaa Musleh Atta Rahman Mohammed Abbas Alkherallah Menhal Kamel Al-Bohassan mustafa Mohammed Alawami Hayder ali Alsebaa Jawad ali Alnemer Ghazi Fayez Al-Mutairi May Issa Aldossary Dalal A.Aldowaihi Fahd Alhaidari Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Networks and Communications College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

With the rapid growth of internet usage,a new situation has been created that enables practicing *** has increased over the past decade,and it has the same adverse effects as face-to-face bullying,like anger,sadness,anxiety,and *** the anonymity people get on the internet,they tend to bemore aggressive and express their emotions freely without considering the effects,which can be a reason for the increase in cyberbullying and it is the main motive behind the current *** study presents a thorough background of cyberbullying and the techniques used to collect,preprocess,and analyze the ***,a comprehensive review of the literature has been conducted to figure out research gaps and effective techniques and practices in cyberbullying detection in various languages,and it was deduced that there is significant room for improvement in the Arabic *** a result,the current study focuses on the investigation of shortlisted machine learning algorithms in natural language processing(NLP)for the classification of Arabic datasets duly collected from Twitter(also known as X).In this regard,support vector machine(SVM),Naive Bayes(NB),Random Forest(RF),Logistic regression(LR),Bootstrap aggregating(Bagging),Gradient Boosting(GBoost),Light Gradient Boosting Machine(LightGBM),Adaptive Boosting(AdaBoost),and eXtreme Gradient Boosting(XGBoost)were shortlisted and investigated due to their effectiveness in the similar ***,the scheme was evaluated by well-known performance measures like accuracy,precision,Recall,and ***,XGBoost exhibited the best performance with 89.95%accuracy,which is promising compared to the state-of-the-art.

关键词： Supervised machine learning ensemble learning cyberbullying Arabic tweets NLP

Activity and Selectivity of Bimetallic Catalysts Based on SBA-15 for Nitrate Reduction in Water

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Materials Sciences and Applications 2023年第2期14卷 78-93页

作者： Mouhamad Rachini Mira Jaafar Nabil Tabaja Sami Tlais Rasha hamdan Fatima Al ali Ola Haidar ali Jaber Mohammad Kassem Eugene Bychkov Lucette Tidahy Renaud Cousin Dorothée Dewaele Tayssir Hamieh Joumana Toufaily Laboratory of Materials Catalysis Environment and Analytical Methods (MCEMA) EDST FS Lebanese University Hariri Campus Hadath Lebanon Université du Littoral Cô te d’Opale (ULCO) LPCA EA 4493 F-59140 Dunkerque France Laboratory of Applied Studies for Sustainable Development and Renewable Energy (LEADDER) EDST Lebanese University Hariri Campus Hadath Lebanon College of Engineering and Technology American University of the Middle East Kuwait Kuwait Department of Chemistry American University of Beirut Riad El-Solh Beirut Lebanon Laboratoire de Recherche et Développement des Médicaments et des Produits Naturels RDMPN Faculty of Pharmacy Lebanese University Hariri Campus Hadath Lebanon Université du Littoral Cô te d’Opale UCEIV Unité de Chimie Environnementale et Interactions sur le Vivant EA 4492 SFR Condorcet FR CNRS 3417 Dunkerque France Centre Commun de Mesures Université du Littoral C&ocircte d’Opale Dunkerque France Faculty of Science and Engineering Maastricht University Maastricht The Netherlands

Nitrate from the application of nitrogen-based fertilizers in intensive agriculture is a notorious waste product, though it lacks cost-effective solutions for its removal from potential drinking water resources. Catalytic reduction appears to be a promising technique for converting nitrates to benign nitrogen gas. Mesoporous silica SBA-15 is a frequently used catalyst support that has large surface areas and highly ordered nanopores. In this work, mesoporous silica SBA-15 bimetallic catalysts for nitrate reduction were investigated. The catalyst was optimized for the selection of promoter metal (Sn and Cu), noble metal (Pd and Pt) and loading ratios of these metals at different temperatures and reduction conditions. The catalysts prepared were characterized by FT-IR, N2 physisorption, XRD, SEM, and ICP. All catalysts showed the presence of cylindrical mesoporous channels and uniform pore structures that remained even after metals loading. In the presence of a CO2 buffer, the catalysts 4Pd-1Cu/SBA-15 and 1Pt-1Cu/SBA-15 reduced at 100?C under H2 and 1Pd-1Cu/SBA-15 reduced at 200°C under H2 demonstrated very high nitrate conversion. Furthermore, the forementioned Pd catalysts had higher N2 selectivity (88% - 87%) compared to Pt catalyst (80%). Nitrate conversion by the 4Pd-1Cu/SBA-15 catalyst was significantly decreased to 81% in the absence of CO2.

关键词： Bimetallic Catalyst Heterogeneous Catalyst Nitrate Reduction SBA-15 XRD BET SEM FTIR ICP

Evaluation of early results of quick-chop phacoemulsification in the patients with high myopic cataract

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International Journal of Ophthalmology(English edition) 2014年第5期7卷 828-831页

作者： ali Akal Tugba Goncu Sevin Soker Cakmak Isa Yuvaci mustafa Atas Süleyman Demircan Omer Faruk Yilmaz Department of Ophthalmology School of MedicineHarran University Department of Ophthalmology Kayseri Training and Research Hospital

AIM:To assess the early surgical outcomes of quickchop phacoemulsification technique in patients with high ***:The data of patients with high myopia who underwent quick-chop phacoemulsification were reviewed retrospectively. There were 42 eyes of 31 patients. The axial length was more than 26 mm in all eyes. All eyes underwent quick-chop phacoemulsification surgery with the placement of an intraocular lens(IOL) in the capsular bag. Postoperative visits were performed at 1, 3d; 2wk,1mo. Early postoperative best corrected visual acuity(BCVA), preoperative and postoperative corneal endothelial cell density(ECD), central corneal thickness(CCT) and postoperative complications were *** sample t-test or Wilcoxon tests were used to compare data between preoperative and postoperative data.· RESULTS:There was no statistically significant difference between preoperative and postoperative ECD and CCT. Retinal detachment was developed in one eye at postoperative first day. There was an iris prolapsus from side port insicion.· CONCLUSION:Quick-chop phacoemulsification technique is a safe surgical technique. However we can encounter some complications in high myopic eyes due to histopathological differences. Both side port and clear corneal tunnel insicion size is crucial for preventing postoperative complications. If any persistent leakage is noticed, suture should be placed.

关键词： high myopia cataract quick-chop phacoemulsification intraocular lens

CryptoNight Mining Algorithm with YAC Consensus for Social Media Marketing Using Blockchain

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Computers, Materials & Continua 2022年第5期71卷 3921-3936页

作者： Anwer mustafa Hil Fahd N.Al-Wesabi Hadeel Alsolai Ola Abdelgney Omer ali Nadhem Nemri Manar Ahmed Hamza Abu Sarwar Zamani Mohammed Rizwanullah Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia&Faculty of Computer and ITSana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia

Social media is a platform in which user can create,share and exchange the knowledge/*** media marketing is to identify the different consumer’s demands and engages them to create marketing *** popular social media platforms are Microsoft,Snapchat,Amazon,Flipkart,Google,eBay,Instagram,Facebook,Pin interest,and *** main aim of social media marketing deals with various business partners and build good relationship with millions of customers by satisfying their *** technology is replacing old approaches in the social media marketing to new technology-based ***,this disruptive technology creates some issues like fake news,insecure,inconsistency,inaccuracy and so *** issues contribute economic instability in the society,diminishing the level of *** overcome these issues,this paper we present blockchain as disruptive technology for social media *** plays a vital role on social media marketing by providing secure to the company page in the *** properties of disruptive potential of blockchain on social media marketing is transparency,security,reliability and *** paper presents a new framework for disruptive technology in blockchain social media marketing using fusion of CryptoNight mining algorithm with YAC consensus algorithm[BCDSMM-CNYAC].This mining algorithm provides high CPU efficiency,high dimensionality of secure and detecting falsifying data attack in the social media *** the data analysis we proposed ANOVA analysis method regarding to the factors of age,time,frequency visiting times of social media *** reliability analysis of data Cronbach’s alpha tests are implemented.

关键词： Cryptonight disruptive technology smart contracts social media security YAC

Hybrid Deep Learning Enabled Load Prediction for Energy Storage Systems

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Computers, Materials & Continua 2023年第5期75卷 3359-3374页

作者： Firas Abedi Hayder M.A.Ghanimi Mohammed A.M.Sadeeq Ahmed Alkhayyat Zahraa H.Kareem Sarmad Nozad Mahmood ali Hashim Abbas ali S.Abosinnee Waleed Khaild Al-Azzawi mustafa Musa Jaber Mohammed Dauwed Department of Mathematics College of EducationAl-Zahraa University for WomenKarbalaIraq Biomedical Engineering Department College of EngineeringUniversity of Warith Al-AnbiyaaKarbalaIraq ITM Department Technical College of AdministrationDuhok Polytechnic UniversityDuhokIraq College of Technical Engineering The Islamic UniversityNajafIraq Department of Medical Instrumentation Techniques Engineering Al-Mustaqbal University CollegeHillah51001Iraq Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkuk36013Iraq College of Information Technology Imam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq Altoosi University College NajafIraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBagdadIraq Department of Medical Instruments Engineering Techniques Al-Turath University CollegeBaghdad10021Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi UniversityBaghdad10021Iraq Department of Medical Instrumentations Techniques Engineering Dijlah University CollegeBaghdadIraq

Recent economic growth and development have considerably raised energy consumption over the *** load prediction approaches become essential for effective planning,decision-making,and contract evaluation of the power *** order to achieve effective forecasting outcomes with minimumcomputation time,this study develops an improved whale optimization with deep learning enabled load prediction(IWO-DLELP)scheme for energy storage systems(ESS)in smart grid *** major intention of the IWO-DLELP technique is to effectually forecast the electric load in SG environment for designing proficient *** proposed IWO-DLELP model initially undergoes pre-processing in two stages namely min-max normalization and feature ***,partition clustering approach is applied for the decomposition of data into distinct clusters with respect to distance and objective ***,IWO with bidirectional gated recurrent unit(BiGRU)model is applied for the prediction of load and the hyperparameters are tuned by the use of IWO *** experiment analysis reported the enhanced results of the IWO-DLELP model over the recent methods interms of distinct evaluation measures.

关键词： Load forecasting smart grid energy storage system electricity load forecasting artificial intelligence clustering

Burnout amongst radiologists:A bibliometric study from 1993 to 2020

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World Journal of Psychiatry 2022年第2期12卷 368-378页

作者： Muhammad Fazal Hussain Qureshi Danish Mohammad Syed mustafa ali Shah Mahira Lakhani Muzna Shah Muhammad Hassan Ayub Sara Sadiq Medical College Ziauddin UniversityKarachi 75000SindhPakistan Department of Physiology CMH Institute of Medical SciencesBahawalpur 75000Pakistan

BACKGROUND Burnout amongst radiologists is common in many different institutions and is increasing day by *** battle burnout,we have to address the root causes already recognized in published ***,it is crucial to examine and discern important *** To provide evidence-based data and trends related to burnout in radiologists so that researchers can work on it further and develop preventive strategies to overcome this *** Bibliometric analysis conducted by two independent reviewers separately used Scopus Library for data extraction by using medical subject heading and International Classification of Diseases ***-nine articles were selected for analysis after an extensive *** Package for the Social Sciences version 20 was used for *** correlation coefficient,Kruskal Wallis test,and Mann-Whitney U test were *** The most productive period with regards to the number of publications was between 2017 and 2019.A total of 160 authors contributed to the topic burnout among radiologists,with an average of 3.26 authors per *** 41.68%of the authors were female,whilst 35%of them were first *** co-citation analysis by author involved 188 cited authors,13 of whom were cited at least 70 *** six out of forty-nine studies were funded by various government institutions and non-governmental *** Current analysis casts a spotlight on important trends being witnessed in regard to the mental health of radiologists,including lack of funding for mental health research,narrowing of female vs male citation gap,as well as authorship and citation trends.

关键词： Bibliometric Analysis Burnout Radiologist Stress Scientometrics

Mothers’ Knowledge of Health Caring for Premature Infants after Discharge from Neonatal Intensive Care Units in the Gaza Strip, Palestine

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Open Journal of Pediatrics 2019年第3期9卷 239-252页

作者： ali Aldirawi ali El-Khateeb Ayman Abu mustafa Samer Abuzerr Neonatal Intensive Care Unit Al-Shifa Hospital Ministry of Health Gaza Palestine Department of Nursing University College of Applied Science Gaza Palestine Palestine College of Nursing Ministry of Health Gaza Palestine Department of Environmental Health Engineering School of Public Health International Campus Tehran University of Medical Sciences Tehran Iran Quality Improvement and Infection Control Unit Ministry of Health Gaza Palestine

Background: Preterm labor is one of the most public health problems related to neonates admitted to Neonatal Intensive Care Unit (NICU). Poor knowledge among mothers about the care requirements of a preterm neonate is immediate cause for post-discharge medical problems in premature and neonates readmission to NICU. Hence, this study aims to evaluate mothers’ knowledge of caring for premature infants post-discharge from Neonatal Intensive Care Units in the Gaza strip. Methods: A Quantitative-based cross-sectional designs study was used to survey 120 mothers of preterm neonates at the time of preterm neonates discharge by face-to-face interview at Al-Shifa medical complex and Nasser hospital between February and June 2018. Results: The results showed that only about 58.4% of mothers of premature babies had good knowledge about health care needed for premature infants after discharge from NICU. Furthermore, there was no statistically significant difference between the level of knowledge and mother’s sociodemographic characteristics (P-values > 0.05). Conclusion: Mothers’ knowledge of premature infants care was not at the optimal level, which might put the newborns at risk. Therefore, the study emphasizes the necessity of thoughtful exchange of health information between team members and mothers and establishing pre- and post-discharge plans with mothers to start their healthy transition of preterm neonate to home and to ameliorate family concerns.

关键词： Mother’s Knowledge Preterm Neonates Post-Discharge Health Care Neonatal Intensive Care Unit

The relation between epicardial fat thickness and metabolic syndrome

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Journal of Geriatric Cardiology 2016年第4期13卷 369-370页

作者： Sevket Balta Cengiz Ozturk mustafa Aparci mustafa Demir ali Osman Yildirim Turgay Celik Department of Cardiology Gulhane Medical Academy Ankara Turkey Department of Cardiology Haydarpasa Military Hospital Istanbul Turkey

To the editor We read the article Usefulness of the epicardial fat tissue thickness as a diagnostic criterion for geriatric patients with metabolic syndrome by Kaya, et al. The authors aimed to evaluate the epicardial fat tissue thickness （EFT） as a diagnostic criterion for geriatric patients with metabolic syndrome （MetS）. They concluded that EFT levels were higher in geriatric patients with MetS and can therefore be used as a diagnostic criterion for MetS.

关键词： Atherosclerosis Epicardial fat thickness Metabolic syndrome

Applying the New Extended Direct Algebraic Method to Solve the Equation of Obliquely Interacting Waves in Shallow Waters

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Journal of Ocean University of China 2020年第4期19卷 772-780页

作者： KURT ali TOZAR ali TASBOZAN Orkun Department of Mathematics Faculty of Science and ArtPamukkale UniversityDenizli 20160Türkiye Department of Physic Faculty of Science and ArtMustafa Kemal UniversityHatay 31001Türkiye Department of Mathematics Faculty of Science and ArtMustafa Kemal UniversityHatay 31001Türkiye

In this study,the potential Kadomtsev-Petviashvili(pKP)equation,which describes the oblique interaction of surface waves in shallow waters,is solved by the new extended direct algebraic *** results of the study show that by applying the new direct algebraic method to the pKP equation,the behavior of the obliquely interacting surface waves in two dimensions can be *** article fairly clarifies the behaviors of surface waves in shallow *** the literature,several mathematical models have been developed in attempt to study these behaviors,with nonlinear mathematics being one of the most important steps;however,the investigations are still at a level that can be called‘baby steps’.Therefore,every study to be carried out in this context is of great ***,this study will serve as a reference to guide scientists working in this field.

关键词： conformable fractional derivative new extended direct algebraic method interacting wave equation shallow water waves