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Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration

Computers, Materials & Continua 2024年第5期79卷 3333-3353页

作者： aiman Muhammad Arshad Bilal Khan Sadique Ahmad Muhammad Asim Department of Computer Science City University of Science and Information TechnologyPeshawar25000Pakistan EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia School of Computer Science and Technology Guangdong University of TechnologyGuangzhou510006China

Author Profiling (AP) is a subsection of digital forensics that focuses on the detection of the author’s personalinformation, such as age, gender, occupation, and education, based on various linguistic features, e.g., stylistic,semantic, and syntactic. The importance of AP lies in various fields, including forensics, security, medicine, andmarketing. In previous studies, many works have been done using different languages, e.g., English, Arabic, French,etc.However, the research on RomanUrdu is not up to the mark.Hence, this study focuses on detecting the author’sage and gender based on Roman Urdu text messages. The dataset used in this study is Fire’18-MaponSMS. Thisstudy proposed an ensemble model based on AdaBoostM1 and Random Forest (AMBRF) for AP using multiplelinguistic features that are stylistic, character-based, word-based, and sentence-based. The proposed model iscontrasted with several of the well-known models fromthe literature, including J48-Decision Tree (J48),Na飗e Bays(NB), K Nearest Neighbor (KNN), and Composite Hypercube on Random Projection (CHIRP), NB-Updatable,RF, and AdaboostM1. The overall outcome shows the better performance of the proposed AdaboostM1 withRandom Forest (ABMRF) with an accuracy of 54.2857% for age prediction and 71.1429% for gender predictioncalculated on stylistic features. Regarding word-based features, age and gender were considered in 50.5714% and60%, respectively. On the other hand, KNN and CHIRP show the weakest performance using all the linguisticfeatures for age and gender prediction.

关键词： Digital forensics author profiling for security AdaBoostM1 random forest ensemble learning

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ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu

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Intelligent Automation & Soft Computing 2024年第2期39卷 301-317页

作者： aiman Muhammad Arshad Bilal Khan Khalil Khan Ali Mustafa Qamar Rehan Ullah Khan Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan Department of Computer Science School of Engineering and Digital SciencesNazarbayev UniversityAstanaKazakhstan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text,with an emphasis on the writers’ages and genders.To improve the accuracy of AP tasks,the study develops an ensemble model dubbed ABMRF that combines AdaBoostM1(ABM1)and Random Forest(RF).The work uses an extensive technique that involves textmessage dataset pretreatment,model training,and assessment.To evaluate the effectiveness of several machine learning(ML)algorithms in classifying age and gender,including Composite Hypercube on Random Projection(CHIRP),Decision Trees(J48),Na飗e Bayes(NB),K Nearest Neighbor,AdaboostM1,NB-Updatable,RF,andABMRF,they are compared.The findings demonstrate thatABMRFregularly beats the competition,with a gender classification accuracy of 71.14%and an age classification accuracy of 54.29%,respectively.Additional metrics like precision,recall,F-measure,Matthews Correlation Coefficient(MCC),and accuracy support ABMRF’s outstanding performance in age and gender profiling tasks.This study demonstrates the usefulness of ABMRF as an ensemble model for author profiling and highlights its possible uses in marketing,law enforcement,and education.The results emphasize the effectiveness of ensemble approaches in enhancing author profiling task accuracy,particularly when it comes to age and gender identification.

关键词： Machine learning author profiling AdaBoostM1 random forest ensemble learning text classification

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Tribological behavior of shape-specific microplate-enriched synovial fluids on a linear two-axis tribometer

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Friction 2024年第3期12卷 539-553页

作者： Agnese FRAGASSI Antonietta GRECO Martina DI FRANCESCO Luca CESERACCIU aiman ABU AMMAR Israel DVIR Thomas Lee MOORE Haytam KASEM Paolo DECUZZI Laboratory of Nanotechnology for Precision Medicine Fondazione Istituto Italiano di TecnologiaGenova 16163Italy Department of Chemistry and Industrial Chemistry University of GenovaGenoa 16146Italy Materials Characterization Facility Istituto Italiano di TecnologiaGenova 16163Italy Department of Pharmaceutical Engineering Azrieli College of Engineering JerusalemJerusalem 9103501Israel Department of Mechanical Engineering Azrieli College of Engineering JerusalemJerusalem 9103501Israel

Nano-and micro-particles are being increasingly used to tune interfacial frictional properties in diverse applications,from friction modifiers in industrial lubrication to enhanced biological fluids in human osteoarthritic joints.Here,we assessed the tribological properties of a simulated synovial fluid enriched with non-spherical,poly lactic-co-glycolic acid(PLGA)microparticles(μPL)that have been previously demonstrated for the pharmacological management of osteoarthritis(OA).Three different μPL configurations were fabricated presenting a 20μm×20μm square base and a thickness of 5μm(thin,5H μPL),10μm(10H μPL),and 20μm(cubical,20H μPL).After extensive morphological and physicochemical characterizations,the apparent Young’s modulus of the μPL was quantified under compressive loading returning an average value of~6 kPa,independently of the particle morphology.Then,using a linear two-axis tribometer,the static(μ_(s))and dynamic(μ_(d))friction coefficients of the μPL-enriched simulated synovial fluid were determined in terms of particle configuration and concentration,varying from 0(fluid only)to 6×10^(5) μPL/mL.The particle morphology had a modest influence on friction,possibly because the μPL were fully squeezed between two mating surfaces by a 5.8 N normal load realizing boundary-like lubrication conditions.Differently,friction was observed to depend on the dimensionless parameterW,defined as the ratio between the total volume of the μPL enriching the simulated synovial fluid and the volume of the fluid itself.Both coefficients of friction were documented to grow withWreaching a plateau of μ_(s)~0.4 and μ_(d)~0.15,already at Ω~2×10^(-3).Future investigations will have to systematically analyze the effect of sliding velocity,normal load,and rigidity of the mating surfaces to elucidate in full the tribological behavior of μPL in the context of osteoarthritis.

关键词： osteoarthritis microparticles tribology synovial fluid pin on plate

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Q-switched giant pulsed erbium-doped all-fiber laser with V_(2)ZnC MAX phase saturable absorber

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Optoelectronics Letters 2024年第6期20卷 321-329页

作者： Kawther M Musthafa Azura Hamzah Ooi Wei Ling Ahmad Haziq aiman Rosol Norliza Mohamed Sulaiman Wadi Harun Malaysia-Japan International Institute of Technology Universiti Teknologi MalaysiaKuala Lumpur 54100Malaysia Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur 54100Malaysia Department of Electrical Engineering University of MalayaKuala Lumpur 50603Malaysia1

MXenes,drawn from MAX phases,are special two-dimensional substances with numerous advantages in nonlinear optics,specifically in giant and ultrashort pulsed-laser applications.Ti_(3)C_(2)T_(x)and Ti_(2)CT_(x)nanosheets however rapidly deteriorate under ambient conditions,limiting their applications.This paper demonstrates how excellent modulation depth of one of the MAX phase compounds vanadium zinc carbide(V_2ZnC)makes it a brilliant saturable absorber(SA)in passively Q-switched all-fiber pulsed lasers,integrated such that a 16.73-μm V_(2)ZnC-polyvinyl alcohol(PVA)thin film acts as SA in the laser.Saturable and non-saturable absorptions were found to be 13.2%and 10.47%,while saturation optical intensity and modulation depth were 6.25 k W/cm^(2)and 12.43%,respectively,illustrating the optical nonlinearity.The superiority of MAX-PVA,fabricated in four distinct ratios,was demonstrated by the fact that it self-starts a giant pulsed laser at pump power as low as 22.5 mW and firmly accomplished 120.6 kHz repetition rate with a pulse width of 2.08μs.It is a fine SA for the use of pulsed-laser production using all-fiber laser due to fabrication simplicity and great optical,thermophysical,and mechanical qualities.

关键词： MAX Q-switched giant pulsed erbium-doped all-fiber laser with V_(2)ZnC MAX phase saturable absorber

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MicroRNAs modulation in lung cancer: exploring dual mechanisms and clinical prospects

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BIOCELL 2024年第3期48卷 403-413页

作者： SHAHID HUSSAIN HABIB BOKHARI XINGXING FAN SHAUKAT IQBAL MALIK SUNDAS IJAZ MUHAMMAD ADNAN SHEREEN aiman FATIMA Department of Biotechnology Kohsar University MurreeMurreePakistan Macao University of Science and Technology State Key Laboratory of Quality Research in Chinese Medicines TaipaMacao Department of Bioinformatics and Biosciences Capital University of Science and TechnologyIslamabadPakistan Department of Microbiology Kohsar University MurreeMurreePakistan

The global incidence of lung cancer is marked by a considerably elevated mortality rate.MicroRNAs(miRNAs)exert pivotal inﬂuence in the intricate orchestration of gene regulation,and their dysregulation can precipitate dire consequences,notably cancer.Within this context,miRNAs encapsulated in exosomes manifest a diversiﬁed impact on the landscape of lung cancer,wherein their actions may either foster angiogenesis,cell proliferation,and metastasis,or counteract these processes.This comprehensive review article discerns potential targets for the prospective development of therapeutic agents tailored for lung cancer.Tumor-suppressive miRNAs,such as miR-204,miR-192,miR-30a,miR-34a,miR-34b,miR-203,and miR-212,exhibit heightened expression and demonstrate the capacity to inhibit cellular proliferation and invasiveness.Conversely,the deleterious effects of tumor-promoting miRNAs like miR-21,miR-106a,miR-155,miR-205,and miR-210 can be attenuated through the application of their respective inhibitors.Distinct miRNAs selectively target various oncogenes,including NUAK Family Kinase 1(NUAK1),Snail Family Transcriptional Repressor 1(Snai1),Astrocyte elevated gene-1(AEG-1),Vimentin,Proliferation and apoptosis adaptor protein 15(PEA-15/PED),Hypoxia-inducible factor 1-alpha(HIF1),as well as tumor suppressor genes such as phosphatase and tensin homolog(PTEN),Suppressor of cytokine signaling 1(SOCS1),Tumor protein P53 binding protein 1(TP53BP1),and PH Domain and Leucine Rich Repeat Protein Phosphatase 2(PHLP22).This investigative approach proves invaluable in elucidating the speciﬁc miRNAs implicated in the deregulation of crucial genes pivotal to the pathogenesis of cancer.

关键词： miRNAs Oncogenes Tumor suppressive genes Lung cancer therapy

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LKB1 depletion-mediated epithelial-mesenchymal transition induces fibroblast activation in lung fibrosis

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Genes & Diseases 2024年第3期11卷 417-426页

作者： Zijian Xu Elizabeth R.Davies Liudi Yao Yilu Zhou Juanjuan Li aiman Alzetani Ben G.Marshall David Hancock Tim Wallis Julian Downward Rob M.Ewing Donna E.Davies Mark G.Jones Yihua Wang Biological Sciences Faculty of Environmental and Life SciencesUniversity of SouthamptonSouthampton SO171BJUK clinical and Experimental Sciences Faculty of MedicineUniversity of SouthamptonSouthampton SO166YDUK Institute for Life Sciences University of SouthamptonSouthampton SO171BJUK NIHR Southampton Biomedical Research Centre University Hospital SouthamptonSouthampton SO166YDUK University Hospital Southampton Southampton SO166YDUK Oncogene Biology The Francis Crick InstituteLondon NW11ATUK

The factors that determine fibrosis progression or normal tissue repair are largely unknown.We previously demonstrated that autophagy inhibition-mediated epithelial-mesenchymal transition(EMT)in human alveolar epithelial type Il(ATIl)cells augments local myofibroblast differentiation in pulmonary fibrosis by paracrine signaling.Here,we report that liver kinase B1(LKB1)inactivation in ATIl cells inhibits autophagy and induces EMT as a conse-quence.In IPF lungs,this is caused by the down-regulation of CAB39L,a key subunit within the LKB1 complex.3D co-cultures of ATIl cells and MRC5 lung fibroblasts coupled with RNA sequencing(RNA-seq)confirmed that paracrine signaling between LKB1-depleted ATIl cells and fibroblasts augmented myofibroblast differentiation.Together,these data suggest that reduced autophagy caused by LKB1 inhibition can induce EMT in ATIl cells and contribute to fibrosis via aberrant epithelial-fibroblast crosstalk.

关键词： CAB39L Crosstalk EMT LKB1 Pulmonary fibrosis

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不同取向下单晶铁纳米线拉伸行为的模拟研究

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原子与分子物理学报 2024年第2期41卷 157-165页

作者：张诗雨蒋更平 aiman Mukhtar 吴开明武汉科技大学高性能钢铁材料及其应用省部共建协同创新中心国际钢铁研究院武汉430081 材谷金带(佛山)金属复合材料有限公司佛山528000

本文利用分子动力学模拟的方法研究了不同取向、尺寸和温度因素对单晶体心立方铁纳米线的拉伸变形行为的影响.铁纳米线轴向初始取向分别为、、、、,模拟了不同温度(10~700 K)和不同尺寸范围(1.5~5 nm)下的变形机制.研究结果表明取向、... 详细信息

本文利用分子动力学模拟的方法研究了不同取向、尺寸和温度因素对单晶体心立方铁纳米线的拉伸变形行为的影响.铁纳米线轴向初始取向分别为、、、、,模拟了不同温度(10~700 K)和不同尺寸范围(1.5~5 nm)下的变形机制.研究结果表明取向、尺寸和温度会显著影响单晶体心立方铁纳米线的拉伸变形行为.分子动力学模拟结果表明,直径为2 nm的铁纳米线在300 K的拉伸载荷下,主要通过孪晶的模式发生变形,最后拉伸取向转变为.而在700 K下,铁纳米线的拉伸变形模式由滑移主导.不同初始取向在不同温度和尺寸下其变形机制截然不同,这导致了铁纳米线不同的力学性能.本文系统性地研究了在不同取向下的铁纳米线变形机制随尺寸和温度变化发生的转变.

关键词：铁纳米线拉伸变形行为分子动力学模拟

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Empirical Analysis of Neural Networks-Based Models for Phishing Website Classification Using Diverse Datasets

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Journal of Cyber Security 2023年第1期5卷 47-66页

作者： Shoaib Khan Bilal Khan Saifullah Jan Subhan Ullah aiman Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan

Phishing attacks pose a significant security threat by masquerading as trustworthy entities to steal sensitive information,a problem that persists despite user awareness.This study addresses the pressing issue of phishing attacks on websites and assesses the performance of three prominent Machine Learning(ML)models—Artificial Neural Networks(ANN),Convolutional Neural Networks(CNN),and Long Short-Term Memory(LSTM)—utilizing authentic datasets sourced from Kaggle and Mendeley repositories.Extensive experimentation and analysis reveal that the CNN model achieves a better accuracy of 98%.On the other hand,LSTM shows the lowest accuracy of 96%.These findings underscore the potential of ML techniques in enhancing phishing detection systems and bolstering cybersecurity measures against evolving phishing tactics,offering a promising avenue for safeguarding sensitive information and online security.

关键词： Artificial neural networks phishing websites network security machine learning phishing datasets classification

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RNA sequencing role and application in clinical diagnostic

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Pediatric Investigation 2022年第1期6卷 29-35页

作者： Fatemeh Peymani aiman Farzeen Holger Prokisch School of Medicine Institute of Human GeneticsTechnical University of MunichMunichGermany Institute of Neurogenomics Computational Health CenterHelmholtz Centre MunichNeuherbergGermany

Although whole-exome sequencing and whole-genome sequencing has tremendously improved our understanding of the genetic etiology of human disorders,about half of the patients still do not receive a molecular diagnosis.The high fraction of variants with uncertain significance and the challenges of interpretation of noncoding variants have urged scientists to implement RNA sequencing(RNA-seq)in the diagnostic approach as a high throughput assay to complement genomic data with functional evidence.RNA-seq data can be used to identify aberrantly spliced genes,detect allele-specific expression,and identify gene expression outliers.Amongst eight studies utilizing RNA-seq,a mean diagnostic uplift of 15%has been reported.Here,we provide an overview of how RNA-seq has been implemented to aid in identifying the causal variants of Mendelian disorders.

关键词： Aberrant expression Clinical diagnosis Gene expression outliers Genetics diagnosis RNA phenotype RNA sequencing Transcriptome

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Anion effect on Li/Na/K hybrid electrolytes for Graphite//NCA(LiNi_(0.8)Co_(0.15)Al_(0.05)O_(2))Li-ion batteries

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Journal of Energy Chemistry 2022年第1期31卷 451-462,I0012页

作者： aiman Jrondi Georgios Nikiforidis Meriem Anouti Laboratoire PCM2E Universite de ToursFaculte des sciences et technologiePare de Grandmont37200 ToursFrance LE STUDIUM Institute for Advanced Studies 45000 OrleansFrance

The electrolyte is an essential component of a battery system since it is responsible for the conduction of ions between the electrodes.In the quest for cheaper alternatives to common organic electrolytes for lithium-ion batteries(LIB),we formulated hybrid electrolytes comprising a mixture of Na,K,and Li alkaline salts with ethylene carbonate(EC),ethyl methyl carbonate(EMC),and lithium hexafluorophosphate(LiPF_(6)),giving a total salt concentration of 1.5 M;we determined their physicochemical properties and investigated their electrochemical behavior on a nickel cobalt aluminum oxide(NCA)cathode and graphite(Gr)anode.The electrolytes demonstrated a melting transition peak(T_(m)).eutectic behavior,and ionic conductivities(-13 mS cm^(-1))close to those of a commercial LIB electrolyte(SE,EC/EMC+1 M LiPF_(6))and activation energies of ca.3 kJ mol^(-1).The half-cell coin cells revealed high coulombic efficiency(99%),specific capacity(175 mAh g^(-1) at C/10),and capacity retention(92% for NaCF_(3)SO_(3))for the NCA cathode and a moderate performance(coulombic efficiency of 98%for 20 cycles)on the graphite anode after the formation of the SEI layer.The hybrid electrolytes were cycled at 25℃ in a Gr//NCA cell yielding specific capacities of ca.225 mAh g^(-1) at a C/5 rate,corroborating that the anion plays a key role and highlighting their potential for energy storage applications.

关键词： Hybrid electrolyte Alkali salts NCA//Li cell Li-ion battery

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