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World Journal of Otorhinolaryngology-Head and Neck Surgery 2022年第4期8卷 315-320页

作者： Nida riaz muhammad Ajmal muhammad Sheharyar khan Department of Otorhinolaryngology and Head and Neck Surgery Holy Family HospitalRawalpindiPakistan Department of Otorhinolaryngology and Head and Neck Surgery HBS Medical CollegeIslamabadPakistan Rawalpindi Medical University RawalpindiPakistan

Objective:We conducted this study to assess the etiopathogenic relation of otitis media with effusion(OME)in a group of children aged 1-5 years among the local population of ***:This was a cross-sectional retrospective *** was conducted among the children presenting to the immunization center of three tertiary care hospitals of *** media was assessed by clinical examination and tympanometry from August 2019 to January ***-factor regression analysis was then applied to recognize the statistical significance and association of various risk factors to ***:Out of 400 children enrolled in this study,108(27.0%)had OME,out of which 65(60.2%)were males and 30(27.8%)were of age group 2-3 *** regression analysis of risk factors associated with OME showed it was strongly associated with snoring(P<0.001),last year symptoms(attack of ear aches with hearing loss[P=0.002]),drugs(URTI antibiotics[P=0.026],All 3 drugs[P=0.013]).Conclusions:We found out that OME is a common disease which if not identified or treated timely can lead to other hard to cure health *** of its etiopathogenic factors can play a major role in its prevention.

关键词： Etiology Low resource country Otitis media with effusion Prevelance Tympanometry

A Deep Learning Approach for Prediction of Protein Secondary Structure

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Computers, Materials & Continua 2022年第8期72卷 3705-3718页

作者： muhammad Zubair muhammad kashif Hanif Eatedal Alabdulkreem Yazeed Ghadi muhammad Irfan khan muhammad Umer Sarwar Ayesha Hanif Department of Computer Science Government College UniversityFaisalabadPakistan Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Software Engineering/Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates

The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary *** this reason,it is important to design methods for accurate protein secondary structure *** of the existing computational techniques for protein structural and functional prediction are based onmachine learning with *** deep learning architectures have already been applied to tackle protein secondary structure prediction *** this study,deep learning based models,i.e.,convolutional neural network and long short-term memory for protein secondary structure prediction were *** input to proposed models is amino acid sequences which were derived from CulledPDB *** tuning with cross validation was employed to attain best parameters for the proposed *** proposed models enables effective processing of amino acids and attain approximately 87.05%and 87.47%Q3 accuracy of protein secondary structure prediction for convolutional neural network and long short-term memory models,respectively.

关键词： Convolutional neural network machine learning protein secondary structure deep learning long short-term memory protein secondary structure prediction

A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition

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Computers, Materials & Continua 2022年第11期73卷 2555-2576页

作者： muhammad Naeem Akbar Farhan riaz Ahmed Bilal Awan muhammad Attique khan Usman Tariq Saad Rehman National University of Sciences and Technology(NUST) Islamabad46000Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj 11942Saudi Arabia

Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video *** in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant *** proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this *** deep learning feature extraction to feature classification,the proposed framework includes several critical *** training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are *** feature extraction,pre-trained deep models are used,which are fused using the canonical correlation *** that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best *** that,the selected features were used to classify actions using various *** experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,*** comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy.

关键词： Action recognition deep learning features fusion features selection recognition

Sustainable food industrial waste management through single cell protein production and characterization of protein enriched bread

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Food Bioscience 2022年第2期46卷 639-646页

作者： muhammad kashif Iqbal khan muhammad Asif Zafar Ullah Razzaq Akmal Nazir Abid Aslam Maan Department of Food Engineering University of AgricultureFaisalabadPakistan National Institute of Food Science and Technology University of AgricultureFaisalabadPakistan Department of Food Science College of Agriculture and Veterinary MedicineUnited Arab Emirates UniversityAl AinUnited Arab Emirates

Production of single cell protein(SCP)from food waste is one of the promising approaches for excellent waste *** the present study,SCP was produced through submerged fermentation using selected food wastes(banana peel,citrus peel,carrot pomace and potato peel).During process optimization,combinations of various temperature and nitrogen sources were studied for optimum SCP yield(g/100g).The results indicated that maximum SCP yield was obtained at 30℃ for 7 days on potato peels,whereas citrus and banana peels exhibited the lowest SCP yield at the same process *** SCP compositional analysis indicated that the amount of non-essential amino acids was significantly higher than wheat ***,SCP enriched bread was prepared by adding SCP at different concentrations(0,4,8,and 12%).The organoleptic properties indicated that SCP addition up to 4%was acceptable to prepare protein enriched ***,SCP may be effectively used for food waste management and food security.

关键词： Fruit waste Food security Single cell protein Bread Protein deficiency Malnourishment

A staggering rise of HIV cases in Pakistan

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Asian Pacific Journal of Tropical Medicine 2023年第3期16卷 143-144页

作者： Abdullah riaz muhammad muhammad Salman Abid Hussain Amin Ullah Muddasir khan Department of Health and Biological Sciences Abasyn University PeshawarKhyber PakhtunkhwaPakistan Department of Veterinary Microbiology Faculty of Veterinary SciencesChulalongkorn UniversityBangkokThailand Online Web TV and Blogging Site Mutabadil TVGermany Centre of Biotechnology and Microbiology University of PeshawarKPKPakistan

In the last decade,Pakistan has experienced multidemics of HIV in key populations,namely:injecting drug users,male sex with male,female sex workers,transgender sex workers,and *** to recent reports,in Pakistan,210000 ... 详细信息

关键词： HIV female gender

Analytical Model for Underwater Wireless Sensor Network Energy Consumption Reduction

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Computers, Materials & Continua 2022年第7期72卷 1611-1626页

作者： Huma Hasan Rizvi Sadiq Ali khan Rabia Noor Enam kashif Nisar muhammad Reazul Haque Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Sir Syed University of Engineering and Technology Karachi75300Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMS88400Kota KinabaluSabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran Multimedia63100CyberjayaSelangorMalaysia

In an Underwater Wireless Sensor Network(UWSN),extreme energy loss is carried out by the early expiration of sensor nodes and causes a reduction in efficiency in the submerged acoustic sensor *** based on clustering strategies,instead of each node sending information by itself,utilize cluster heads to collect information inside the clusters for forwarding collective information to *** can effectively minimize the total energy loss during *** environment of UWSN is 3D architecture-based and follows a complex hierarchical clustering strategy involving its most effecting unique parameters such as propagation delay and limited transmission *** base clustering strategy works in rounds,where each round comprises three fundamental stages:cluster head selection,grouping or node association,and data aggregation followed by forwarding data to the *** UWSN,the energy consumed during the formation of clusters has been considered casually or completely evaded in the previous *** this paper,the cluster head setup period has been considered the main contributor to extra energy utilizer.A numerical channel model is proposed to compute extra *** is performed by using a UWSN broad *** results have shown that extra maximum energy consumption is approximately 12.9 percent of the system total energy consumed in information transmissions.

关键词： Analytical model submerged acoustic sensor systems energy loss round base clustering UWSN extra energy

The alarming surge of HIV/AIDS in Khyber Pakhtunkhwa,Pakistan demands urgent attention

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Asian Pacific Journal of Tropical Medicine 2023年第12期16卷 573-574页

作者： Abdullah riaz muhammad Aiman Waheed Sher Ali Muddasir khan Department of Health and Biological Sciences Abasyn UniversityPeshawarKPK25000Pakistan Center of Biotechnology and Microbiology University of PeshawarKPK25000Pakistan Faculty of Animal Science and Food Engineering Department of Food EngineeringUniversity of São PauloPirassunungaSP13635-900Brazil

The escalating human immunodeficiency virus(HIV)outbreaks in Pakistan are a matter of concern for both general population and health care settings[1].The first case of HIV was reported in *** then,0.2 million people are living with HIV,63202 know their positive status,and 40652 patients are acquiring health assistance from 78 anti-retroviral therapy centers[2,3].According to reports,the cases of HIV/AIDS escalated to 75%within a decade since 2013,with merely 4500 in Pakistan[1,2].

关键词： HIV/AIDS Pakistan centers

Bug Prioritization Using Average One Dependence Estimator

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Intelligent Automation & Soft Computing 2023年第6期36卷 3517-3533页

作者： kashif Saleem Rashid Naseem Khalil khan Siraj muhammad Ikram Syed Jaehyuk Choi Department of IT and Computer Science Institute of Applied Sciences and TechnologyPakAustriaFochhshuleHaripurPakistan Faculty of Computer Sciences and Information Technology Superior UniversityLahore54660Pakistan Department of Computer Science Shaheed Benazir Bhutto UniversitySheringalUpper DirKhyber PakhtunkhwaPakitan School of Computing Gachon University1342Seongnam-daeroSujeong-guSeongnam-si13120Korea

Automation software need to be continuously updated by addressing software bugs contained in their ***,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on their sever-ity and *** managing the deluge of incoming bug reports faces time and resource constraints from the development team and delays the resolu-tion of critical ***,bug report prioritization is *** study pro-poses a new model for bug prioritization based on average one dependence estimator;it prioritizes bug reports based on severity,which is determined by the number of *** more the number of attributes,the more the *** proposed model is evaluated using precision,recall,F1-Score,accuracy,G-Measure,and Matthew’s correlation *** of the proposed model are compared with those of the support vector machine(SVM)and Naive Bayes(NB)*** and Mozilla datasetswere used as the sources of bug *** proposed model improved the bug repository management and out-performed the SVM and NB ***,the proposed model used a weaker attribute independence supposition than the former models,thereby improving prediction accuracy with minimal computational cost.

关键词： Bug report triaging prioritization support vector machine Naive Bayes

Metric-Based Resolvability of Quartz Structure

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Computers, Materials & Continua 2022年第4期71卷 2053-2071页

作者： muhammad Imran Ali Ahmad muhammad Azeem kashif Elahi Department of Mathematical Sciences United Arab Emirates UniversityAl AinUnited Arab Emirates College of Computer Science&Information Technology Jazan University JazanSaudi Arabia Department of Aerospace Engineering Faculty of EngineeringUniversiti Putra MalaysiaMalaysia Deanship of E-learning and Information Technology Jazan UniversityJazanSaudi Arabia

Silica has three major varieties of crystalline. Quartz is the main andabundant ingredient in the crust of our earth. While other varieties are formedby the heating of quartz. Silica quartz is a rich chemical structure containingenormous properties. Any chemical network or structure can be transformedinto a graph, where atoms become vertices and the bonds are converted toedges, between vertices. This makes a complex network easy to visualize towork on it. There are many concepts to work on chemical structures in termsof graph theory but the resolvability parameters of a graph are quite advanceand applicable topic. Resolvability parameters of a graph is a way to getting agraph into unique form, like each vertex or edge has a unique identification bymeans of some selected vertices, which depends on the distance of vertices andits pattern in a particular graph. We have dealt some resolvability parametersof SiO2 quartz. We computed the resolving set for quartz structure and itsvariants, wherein we proved that all the variants of resolvability parameters ofquartz structures are constant and do not depend on the order of the graph.

关键词： Quartz polycyclic aromatic hydrocarbon related structure metric dimension metric or distance-based resolvability parameters

Aspect Extraction Approach for Sentiment Analysis Using Keywords

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Computers, Materials & Continua 2023年第3期74卷 6879-6892页

作者： Nafees Ayub muhammad Ramzan Talib muhammad kashif Hanif muhammad Awais Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Software Engineering Government College UniversityFaisalabad38000Pakistan

Sentiment Analysis deals with consumer reviews available on blogs,discussion forums,E-commerce websites,andApp *** online reviews about products are also becoming essential for consumers and companies as *** rely on these reviews to make their decisions about products and companies are also very interested in these reviews to judge their products and *** reviews are also a very precious source of information for requirement *** companies and consumers are not very satisfied with the overall sentiment;they like fine-grained knowledge about consumer *** to this,many researchers have developed approaches for aspect-based sentiment *** existing approaches concentrate on explicit aspects to analyze the sentiment,and only a few studies rely on capturing implicit *** paper proposes a Keywords-Based Aspect Extraction method,which captures both explicit and implicit *** also captures opinion words and classifies the sentiment about each *** applied semantic similarity-basedWordNet and SentiWordNet lexicon to improve aspect *** used different collections of customer reviews for experiment purposes,consisting of eight datasets over seven *** compared our approach with other state-of-the-art approaches,including Rule Selection using Greedy Algorithm(RSG),Conditional Random Fields(CRF),Rule-based Extraction(RubE),and Double Propagation(DP).Our results have shown better performance than all of these approaches.

关键词： Sentiment analysis aspect extraction keywords-based machine learning