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Aspect-Based Sentiment Analysis for Social Multimedia:A Hybrid Computational Framework

Computer Systems Science & Engineering 2023年第8期46卷 2415-2428页

作者： Muhammad rizwan Rashid Rana Saif Ur Rehman Asif Nawaz Tariq Ali Azhar Imran Abdulkareem Alzahrani Abdullah Almuhaimeed University Institute of Information Technology–PMAS Arid Agriculture University Rawalpindi46000Pakistan Department of Creative Technologies Air UniversityIslamabad44000Pakistan Computer Engineering and Science Department Faculty of Computer Science and Information TechnologyAl Baha UniversityAl Baha65799Saudi Arabia Digital Health Institute King Abdulaziz City for Science and TechnologyRiyadh11442Saudi Arabia

People utilize microblogs and other social media platforms to express their thoughts and feelings regarding current events,public products and the latest *** share their thoughts and feelings about various topics,including products,news,blogs,*** user reviews and tweets,sentiment analysis is used to discover opinions and *** polarity is a term used to describe how sentiment is ***,neutral and negative are all examples of *** area is still in its infancy and needs several critical *** and hidden emotions can detract from the accuracy of traditional *** methods only evaluate the polarity strength of the sentiment words when dividing them into positive and negative *** existing strategies are *** proposed model incorporates aspect extraction,association rule mining and the deep learning technique Bidirectional EncoderRepresentations from Transformers(BERT).Aspects are extracted using Part of Speech Tagger and association rulemining is used to associate aspects with opinion ***,classification was performed using *** proposed approach attained an average of 89.45%accuracy,88.45%precision and 85.98%recall on different datasets of products and *** results showed that the proposed technique achieved better than state-of-the-art sentiment analysis techniques.

关键词： Aspects deep learning lexicon sentiments reviews

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Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments via Chou’s 5 Step Rule

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Computers, Materials & Continua 2021年第2期66卷 2165-2181页

作者： Shaheena khanum Muhammad Adeel Ashraf Asim Karim Bilal Shoaib Muhammad Adnan khan rizwan Ali Naqvi Kamran Siddique Mohammed Alswaitti Department of Computer Science Lahore University of Management SciencesLahore54792Pakistan Department of Computer Science University of Management and TechnologyLahore54770Pakistan School of Computer Science Minhaj University LahoreLahore54770Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Unmanned Vehicle Engineering Sejong UniversitySeoulKorea Department of Information and Communication Technology School of Electrical and Computer EngineeringXiamen University MalaysiaSepang43900Malaysia

Glycation is a non-enzymatic post-translational modification which assigns sugar molecule and residues to a *** is a clinically important attribute to numerous age-related,metabolic,and chronic diseases such as diabetes,Alzheimer’s,renal failure,*** of a non-enzymatic reaction are quite challenging in *** identification in labs is a very costly and timeconsuming *** this research,we developed an accurate,valid,and a robust model named as Gly-LysPred to differentiate the glycated sites from non-glycated *** techniques using position relative features are used for feature *** algorithm named as a random forest with some preprocessing techniques and feature engineering techniques was developed to train a computational *** types of testing techniques such as self-consistency testing,jackknife testing,and cross-validation testing are used to evaluate the *** overall model’s accuracy was accomplished through self-consistency,jackknife,and cross-validation testing 100%,99.92%,and 99.88%with MCC 1.00,0.99,and 0.997 *** this regard,a user-friendly webserver is also urbanized to accumulate the whole *** features vectorization methods suggest that they can play a critical role in other web servers which are developed to classify lysine glycation.

关键词： Gly-LysPred PseAAC post-translational modification lysine glycation Chou’s 5 step rule position relative features

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Clinical outcomes and gut microbiota analysis of severe alcohol-associated hepatitis patients undergoing healthy donor fecal transplant or pentoxifylline therapy:single-center experience from Kerala

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Gastroenterology Report 2022年第1期10卷 566-574页

作者： Cyriac Abby Philips rizwan Ahamed Sasidharan Rajesh Shobhit Singh Ajit Tharakan Jinsha K.Abduljaleel Philip Augustine Clinical and Translational Hepatology The Liver InstituteCenter of Excellence in GI SciencesRajagiri HospitalChunangamvelyAluvaErnakulamKeralaIndia Monarch Liver Laboratory The Liver InstituteCenter of Excellence in GI SciencesRajagiri HospitalChunangamvelyAluvaErnakulamKeralaIndia Department of Gastroenterology and Advanced GI Endoscopy Center of Excellence in GI SciencesRajagiri HospitalChunangamvelyAluvaErnakulamKeralaIndia Diagnostic and Interventional Radiology Center of Excellence in GI SciencesRajagiri HospitalChunangamvelyAluvaErnakulamKeralaIndia

Background Severe alcohol-associated hepatitis(SAH)patients with infections have a high short-term mortality *** microbiota dysbiosis plays an important role in the pathogenesis of *** studies have demonstrated long-term benefits with healthy donor fecal microbiota transplantation(FMT).Data on FMT compared with pentoxifylline for SAH and relevant gut microbial changes are lacking in *** From January 2019 to February 2021,retrospective analysis of a single hospital’s records revealed 47 SAH patients undergoing FMT(100mL/day via nasoduodenal tube for 7days)and 25matched patients receiving pentoxifylline(400mg/8 h for 28days).The primary end point was a 6-month survival *** end points included incidence of ascites,hepatic encephalopathy,infections,acute kidney injury,and gutmicrobiota changes between post-therapy *** discovery and network analysis were also performed to identify significant taxa of gutmicrobiota in post-treatment groups in retrospectively stored stool *** All were *** 6-month survival rate was higher in the patients undergoing FMT than in patients receiving pentoxifylline(83.0%vs 56.0%,P=0.012).At the end of 6-month follow-up,the incidences of clinically significant ascites(56.0%vs 25.5%,P=0.011),hepatic encephalopathy(40.0%vs 10.6%,P=0.003),and critical infections(52.0%vs 14.9%,P<0.001)in patients administered pentoxifylline were significantly higher than those in patients treated with *** 3 months,biomarker analysis revealed a significant abundance of Bifidobacterium and Eggerthella in the FMT group and the pentoxifylline group,*** 6 months,Bifidobacterium in the FMT group and pathogenic Aerococcaceae in the pentoxifylline group were *** analysis showed beneficial taxa(Bifidobacterium)as a central influencer in those undergoing FMT at 6 *** Healthy donor FMT improved survival rate and reduced liver-related complications compared with pe

关键词： fecal microbiota stool transplant alcoholic hepatitis liver transplant dysbiosis

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Deep Learning Approach for Automatic Cardiovascular Disease Prediction Employing ECG Signals

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Computer Modeling in Engineering & Sciences 2023年第11期137卷 1677-1694页

作者： Muhammad Tayyeb Muhammad Umer Khaled Alnowaiser Saima Sadiq Ala’Abdulmajid Eshmawi rizwan Majeed Abdullah Mohamed Houbing Song Imran Ashraf Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar KhanPakistan Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia Faculty of Computer Science and Information Technology Universiti Tun Husein OnnMalaysia(UTHM)Bahru80536Malaysia Research Centre Future University in EgyptNew Cairo11745Egypt Department of Information Systems University of MarylandBaltimore CountyBaltimoreMD 21250USA Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Cardiovascular problems have become the predominant cause of death worldwide and a rise in the number of patients has been observed ***,electrocardiogram(ECG)data is analyzed by medical experts to determine the cardiac abnormality,which is *** addition,the diagnosis requires experienced medical experts and is ***,automated identification of cardiovascular disease using ECGs is a challenging problem and state-of-the-art performance has been attained by complex deep learning *** study proposes a simple multilayer perceptron(MLP)model for heart disease prediction to reduce computational *** dataset containing averaged signals with window size 10 is used as an *** competing deep learning and machine learning models are used for comparison.K-fold cross-validation is used to validate the *** outcomes reveal that the MLP-based architecture can produce better outcomes than existing approaches with a 94.40%accuracy *** findings of this study show that the proposed system achieves high performance indicating that it has the potential for deployment in a real-world,practical medical environment.

关键词： Cardiovascular disease prediction electrocardiograms deep learning multilayer perceptron

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Performance Analysis of Magnetic Nanoparticles during Targeted Drug Delivery:Application of OHAM

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 723-749页

作者： Muhammad Zafar Muhammad Saif Ullah Tareq Manzoor Muddassir Ali Kashif Nazar Shaukat Iqbal HabibUllah Manzoor rizwan Haider Woo Young Kim Institute of Energy and Environmental Engineering University of the PunjabQuaid-e-Azam CampusLahore54590Pakistan Energy Research Centre COMSATS University IslamabadLahore54000Pakistan Department of Energy Engineering Faculty of Mechanical and Aeronautical EngineeringUniversity of Engineering and TechnologyTaxila47080Pakistan Department of Mathematics COMSATS University IslamabadLahore54000Pakistan School of Systems and Technology University of Management Sciences and TechnologyLahore54770Pakistan Department of Electrical Electronics and TelecommunicationEngineeringUniversity of Engineering and TechnologyLahore(FSD Campus)Faisalabad38000Pakistan Department of Electronic Engineering Faculty of Applied Energy SystemJeju National UniversityJeju Special Self-Governing ProvinceJeju-si63243Korea

In recent years,the emergence of nanotechnology experienced incredible development in the field of medical *** the past decade,investigating the characteristics of nanoparticles during fluid flow has been one of the intriguing *** distribution and uniformity have emerged as substantial criteria in both medical and engineering *** effects of chemotherapy on healthy tissues are known to be a significant concern during cancer therapy.A novel treatment method of magnetic drug targeting(MDT)has emerged as a promising topical cancer treatment along with some attractive advantages of improving efficacy,fewer side effects,and reduce drug *** magnetic drug targeting,the appropriate movement of nanoparticles(magnetic)as carriers is essential for the therapeutic process in the blood clot removal,infection treatment,and tumor cell *** this study,we have numerically investigated the behavior of an unsteady blood flowinfused with magnetic nanoparticles during MDT under the influence of a uniform external magnetic field in a *** optimal homotopy asymptotic method(OHAM)is employed to compute the governing equation for unsteady electromagnetohydrodynamics *** influence of Hartmann number(Ha),particle mass parameter(G),particle concentration parameter(R),and electro-osmotic parameter(k)is investigated on the velocity of magnetic nanoparticles and blood *** obtained show that the electro-osmotic parameter,along with Hartmann’s number,dramatically affects the velocity of magnetic nanoparticles,blood flow velocity,and flow ***,results also reveal that at a higher Hartman number,homogeneity in nanoparticles distribution improved *** particle concentration andmass parameters effectively influence the capturing effect on nanoparticles in the blood flow using a micro-tube for magnetic drug ***,investigation also indicates that the OHAM analysis is efficient and quick to h

关键词： Hartmann number magnetic nanoparticles nonlinear analysis targeted drug delivery optimal homotopy asymptotic method(OHAM)

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Prediction of Time Series Empowered with a Novel SREKRLS Algorithm

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Computers, Materials & Continua 2021年第5期67卷 1413-1427页

作者： Bilal Shoaib Yasir Javed Muhammad Adnan khan Fahad Ahmad rizwan Majeed Muhammad Saqib Nawaz Muhammad Adeel Ashraf Abid Iqbal Muhammad Idrees School of Computer Science Minhaj University LahoreLahore54000Pakistan Prince Sultan University Riyadh11586Saudi Arabia Department of Computer Science Riphah International University Lahore CampusLahore54000Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia Directorate of IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science University of Management and TechnologyLahore54770Pakistan PUCIT University of the PunjabLahore54000Pakistan

For the unforced dynamical non-linear state–space model,a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is developed in this *** proposed algorithm lends itself towards the parallel implementation as in the FPGA *** the help of an ortho-normal triangularization method,which relies on numerically stable givens rotation,matrix inversion causes a computational burden,is *** computation possesses many excellent numerical properties such as singularity,symmetry,skew symmetry,and triangularity is achieved by using this *** proposed method is validated for the prediction of stationary and non-stationary Mackey–Glass Time Series,along with that a component in the x-direction of the Lorenz Times Series is also predicted to illustrate its *** the learning curves regarding mean square error(MSE)are witnessed for demonstration with prediction performance of the proposed algorithm from where it’s concluded that the proposed algorithm performs better than *** new SREKRLS based design positively offers an innovative era towards non-linear systolic arrays,which is efficient in developing very-large-scale integration(VLSI)applications with non-linear input *** experiments are carried out to validate the reliability,effectiveness,and applicability of the proposed algorithm and with different noise levels compared to the Extended kernel recursive least-squares(EKRLS)algorithm.

关键词： Kernel methods square root adaptive filtering givens rotation mackey glass time series prediction recursive least squares kernel recursive least squares extended kernel recursive least squares square root extended kernel recursive least squares algorithm

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Dataset of Large Gathering Images for Person Identification and Tracking

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Computers, Materials & Continua 2023年第3期74卷 6065-6080页

作者： Adnan Nadeem Amir Mehmood Kashif rizwan Muhammad Ashraf Nauman Qadeer Ali Alzahrani Qammer H.Abbasi Fazal Noor Majed Alhaisoni Nadeem Mahmood Faculty of Computer and Information System Islamic University of MadinahMadinah42351Saudi Arabia Department of Computer Science and Information Technology Sir Syed University of Engineering and TechnologyKarachi75300Pakistan Department of Computer Science Federal Urdu University of ArtsScience&TechnologyIslamabad45570Pakistan Department of Physics Federal Urdu University of ArtsScience&TechnologyKarachi75300Pakistan James Watt School of Engineering University of GlasgowGlasgowG128QQUK Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science University of KarachiKarachi75270Pakistan

This paper presents a large gathering dataset of images extracted from publicly filmed videos by 24 cameras installed on the premises of Masjid Al-Nabvi,Madinah,Saudi *** dataset consists of raw and processed images reflecting a highly challenging and unconstraint *** methodology for building the dataset consists of four core phases;that include acquisition of videos,extraction of frames,localization of face regions,and cropping and resizing of detected face *** raw images in the dataset consist of a total of 4613 frames obtained fromvideo *** processed images in the dataset consist of the face regions of 250 persons extracted from raw data images to ensure the authenticity of the presented *** dataset further consists of 8 images corresponding to each of the 250 subjects(persons)for a total of 2000 *** portrays a highly unconstrained and challenging environment with human faces of varying sizes and pixel quality(resolution).Since the face regions in video sequences are severely degraded due to various unavoidable factors,it can be used as a benchmark to test and evaluate face detection and recognition algorithms for research *** have also gathered and displayed records of the presence of subjects who appear in presented frames;in a temporal *** can also be used as a temporal benchmark for tracking,finding persons,activity monitoring,and crowd counting in large crowd scenarios.

关键词： Large crowd gatherings a dataset of large crowd images highly uncontrolled environment tracking missing persons face recognition activity monitoring

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Impacts of environmental factors on urban heating

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Journal of Environmental Sciences 2010年第12期22卷 1903-1909页

作者： rizwan Ahmed Memon Dennis Y.C.Leung Department of Mechanical Engineering Mehran University of Engineering & Technology Department of Mechanical Engineering The University of Hong Kong School of Energy and Environment City University of Hong Kong

This study investigated the impact of important environmental variables （i.e., wind speed, solar radiation and cloud cover） on urban heating. Meteorological parameters for fifteen years （from 1990 to 2005）, collected at a well developed and densely populated commercial area （Tsim Sha Tsui, Hong Kong）, were analyzed in details. Urban heat island intensity （UHII）, a well known indicator of urban heating, has been determined as the spatially averaged air-temperature difference between Tsim Sha Tsui and Ta Kwu Ling （a thinly populated rural area with lush vegetation）. Results showed that the UHII and cloud cover have increased by around 9.3% and 4%, respectively, whereas the wind speed and solar radiation have decreased by around 24% and 8.5%, respectively. The month of December experienced the highest UHII （10.2℃） but the lowest wind speed （2.6 m/sec） and cloud cover （3.8 oktas）. Conversely, the month of April observed the highest increases in the UHII （over 100%） and the highest decreases in wind speed （over 40 %） over fifteen years. Notably, the increases in the UHII and reductions in the wind speed were the highest during the night-time and early morning. Conversely, the intensity of solar radiation reduced while the intensity of urban cool island （UCII） increased during solar noon-time. Results demonstrated strong negative correlation between the UHII and wind speed （coefficient of determination, R^2 = 0.8） but no negative correlation between UCII and solar radiation attenuation. A possible negative correlation between UHII and cloud cover was investigated but could not be substantiated.

关键词： urban heat island urban cool island wind speed cloud cover

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Genetic variability predicting breeding potential of upland cotton(Gossypium hirsutum L.)for high temperature tolerance

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Journal of Cotton Research 2023年第2期6卷 81-97页

作者： FAROOQ Amjad SHAKEEL Amir SAEED Asif FAROOQ Jehanzeb rizwan Muhammad CHATTHA Waqas Shafqat SARWAR Ghulam RAMZAN Yasir Cotton Research Station Ayub Agricultural Research InstituteFaisalabad 38000Pakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabad 38040Pakistan

Background High temperature stress at peak flowering stage of cotton is a major hindrance for crop *** study aimed to increase genetic divergence regarding heat tolerance in newly developed cultivars and *** cotton genotypes and 40 F1(hybrids)were tested under field conditions following the treatments,viz.,high temperature stress and control at peak flowering stage in August and October under April and June sowing,*** The mean squares revealed significant differences among genotypes,treatments,genotype×treatment for relative cell injury,chlorophyll contents,canopy temperature,boll retention and seed cotton yield per *** genetic diversity among 50 genotypes was analyzed through cluster analysis and heat susceptibility index(HSI).The heat tolerant genotypes including FH-Noor,NIAB-545,FH-466,FH-Lalazar,FH-458,NIAB-878,IR-NIBGE-8,Weal-AGShahkar,and heat sensitive,i.e.,CIM-602,Silky-3,FH-326,SLH-12 and FH-442 were hybridized in line×tester fashion to produce F1 *** breeding materials’populations(40 F1)revealed higher specific combining ability variances along with dominance variances,decided the non-additive type gene action for all the *** best general combining ability effects for most of the traits were displayed by the lines,i.e.,FH-Lalazar,NIAB-878 along with testers FH-326 and *** combining ability effects and better-parent heterosis were showed by the crosses,viz.,FH-Lalazar×Silky-3,FH-Lalazar×FH-326,NIAB-878×Silky-3,and NIAB-878×FH-326 for seed cotton yield and yield contributing traits under high temperature *** Heterosis breeding should be carried out in the presence of non-additive type gene action for all the studied *** best combiner parents with better-parent heterosis may be used in crossing program to develop high yielding cultivars,and hybrids for high temperature stress tolerance.

关键词： High temperature Upland cotton Peak flowering Heterosis Gene action Combining ability

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Natural convection of CuO–water nanofluid filled in a partially heated corrugated cavity:KKL model approach

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Communications in Theoretical Physics 2020年第8期72卷 27-42页

作者： rizwan Ul Haq Muhammad Usman Ebrahem A Algehyne Department of Electrical Engineering Bahria UniversityIslamabadPakistan BIC-ESAT College of EngineeringPeking UniversityBeijing 100871China State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering SciencePeking UniversityBeijing 100871China Department of Mathematics Faculty of SciencesUniversity of TabukP.O.Box 741Tabuk 71491Saudi Arabia

In this article, flow and heat transfer inside a corrugated cavity is analyzed for natural convection with a heated inner obstacle. Thermal performance is analyzed for Cu O–water inside a partially heated domain by defining the constraint along the boundaries. For nanofluid analysis, the Koo and Kleinstreuer Li(KKL) model is implemented to deal with the effective thermal conductivity and viscosity. A heated thin rod is placed inside the corrugated cavity and the bottom portion of the corrugated cavity is partially heated. The dimensionless form of nonlinear partial differential equations are obtained through the compatible transformation along with the boundary constraint. The finite element method is executed to acquire the numerical solution of the obtained dimensional system. Streamlines, isotherms and heat transfers are analyzed for the flow field and temperature distribution. The Nusselt number is calculated at the surface of the partially heated domain for various numerical values of emerging parameters by considering the inner obstacle at cold, adiabatic and heated conditions. The computational simulation was performed by introducing various numerical values of emerging parameters. Important and significant results have been attained for temperature and velocities(in both x-and y-directions) at the vertically and horizontally mean positions of the corrugated duct.

关键词： heat transfer nanofluid finite element method KKL corrugated cavity

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