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The Spherical q-Linear Diophantine Fuzzy Multiple-Criteria Group Decision-Making Based on Differential Measure

Computer Modeling in Engineering & Sciences 2024年第2期138卷 1925-1950页

作者： Huzaira Razzaque Shahzaib Ashraf muhammad naeem Yu-Ming Chu Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Department of Mathematics Deanship of Applied SciencesUmm Al-Qura UniversityMeccaSaudi Arabia Department of Mathematics Huzhou UniversityHuzhou313000China

Spherical q-linearDiophantine fuzzy sets(Sq-LDFSs)provedmore effective for handling uncertainty and vagueness in multi-criteria decision-making(MADM).It does not only cover the data in two variable parameters but is also beneficial for three parametric *** Pythagorean fuzzy sets,the difference is calculated only between two parameters(membership and non-membership).According to human thoughts,fuzzy data can be found in three parameters(membership uncertainty,and non-membership).So,to make a compromise decision,comparing Sq-LDFSs is *** measures of different fuzzy sets do,however,can have several flaws that can lead to counterintuitive *** instance,they treat any increase or decrease in the membership degree as the same as the non-membership degree because the uncertainty does not change,even though each parameter has a different *** the Sq-LDFSs comparison,this research develops the differentialmeasure(DFM).Themain goal of the DFM is to cover the unfair arguments that come from treating different types of FSs opposing criteria *** to their relative positions in the attribute space and the similarity of their membership and non-membership degrees,two Sq-LDFSs formthis preference connectionwhen the uncertainty remains same in both *** to the degree of superiority or inferiority,two Sq-LDFSs are shown as identical,equivalent,superior,or inferior over one *** suggested DFM’s fundamental characteristics are *** on the newly developed DFM,a unique approach tomultiple criterion group decision-making is *** suggestedmethod verifies the novel way of calculating the expert weights for Sq-LDFSS as in *** proposed technique in three parameters is applied to evaluate solid-state drives and choose the optimum photovoltaic cell in two applications by taking uncertainty parameter *** method’s applicability and validity shown by the findings are contrasted with those obtained using various

关键词： Multi-criteria group decision-making spherical q-linear Diophantine fuzzy sets differencemeasures photovoltaic cells medical diagnosis

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Construction of robust and durable Cu_(2)Se-V_(2)O_(5) nanosheet electrocatalyst for alkaline oxygen evolution reaction

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Frontiers of Chemical Science and Engineering 2024年第6期18卷 71-83页

作者： Tauseef Munawar Ambreen Bashir Khalid Mujasam Batoo Saman Fatima Faisal Mukhtar Sajjad Hussain Sumaira Manzoor muhammad naeem Ashiq Shoukat Alim Khan Muammer Koc Faisal Iqbal Institute of Physics The Islamia University of BahawalpurBahawalpur 63100Pakistan King Abdullah Institute for Nanotechnology King Saud UniversityRiyadh 11451Saudi Arabia Hybrid Materials Center(HMC) Sejong UniversitySeoul 05006Republic of Korea Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Institute of Chemical Sciences Bahauddin Zakariya UniversityMultan 60800Pakistan Division of Sustainable Development College of Science and EngineeringHamad Bin Khalifa UniversityQatar FoundationDoha 34110Qatar

Reducing the production costs of clean energy carriers such as hydrogen through scalable water electrolysis is a potential solution for advancing the hydrogen *** the various material candidates,our group demonstrated transition-metal-based materials with tunable electronic characteristics,various phases,and ***,electrochemical water oxidation using Cu_(2)Se-V_(2)O_(5) as a non-precious metallic electrocatalyst via a hydrothermal approach is *** water-splitting performance of all the fabricated electrocatalysts was evaluated after direct growth on a stainless-steel *** electrochemically tuned Cu_(2)Se-V_(2)O_(5) catalyst exhibited a reduced overpotential of 128 mV and provided a reduced Tafel slope of 57 mV·dec^(−1) to meet the maximum current density of 250 mA·cm^(−2).The optimized strategy for interfacial coupling of the fabricated Cu_(2)Se-V_(2)O_(5) catalyst resulted in a porous structure with accessible active sites,which enabled adsorption of the intermediates and afforded an effective charge transfer rate for promoting the oxygen evolution ***,the combined effect of the catalyst components provided long-term stability for over 110 h in an alkaline solution,which makes the catalyst promising for large-scale practical *** aforementioned advantages of the composite catalyst overcome the limitations of low conductivity,agglomeration,and poor stability of the pure catalysts(Cu2Se and V2O5).

关键词： oxygen evolution reaction Cu_(2)Se-V_(2)O_(5)composite nanosheets metal-diffused ions accessible adsorption sites

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Analysis of Genetic Alterations in TP53 Gene in Breast Cancer - A Secondary Publication

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Proceedings of Anticancer Research 2024年第3期8卷 25-35页

作者： Baqaur Rehman muhammad Abubakar muhammad naeem Kiani Rooma Ayyoub Department of Biosciences COMSATS University IslamabadPark RdIslamabad Capital Territory 45550Pakistan Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging School of Biomedical EngineeringShenzhen University Medical SchoolShenzhen UniversityShenzhen 518060China

Tumor protein p53 (TP53) mediates DNA repair and cell proliferation in growing cells. The TP53 gene is a tumor suppressor that regulates the expression of target genes in response to multiple cellular stress factors. Key target genes are involved in crucial cellular events such as DNA repair, cell cycle regulation, apoptosis, metabolism, and senescence. TP53 genetic variants and the activity of the wild-type p53 protein (WT-p53) have been linked to a wide range of tumorigenesis. Various genetic and epigenetic alterations, including germline and somatic mutations, loss of heterozygosity, and DNA methylation, can alter TP53 activity, potentially resulting in cancer initiation and progression. This study was designed to screen three reported mutations in the DNA-binding domain of the p53 protein in breast cancer, to evaluate the relative susceptibility and risk associated with breast cancer in the local population. Genomic DNA was isolated from 30 breast tumor tissues along with controls. Tetra and Tri ARMS PCR were performed to detect mutations in the TP53 coding region. For SNPs c.637C>T and c.733C>T, all analyzed cases were homozygous for the wild-type allele ‘C,’ while for SNP c.745A>G, all cases were homozygous for the wild-type allele ‘A.’ These results indicate no relevance of these three SNPs to cancer progression in our study cohort. Additionally, the findings from whole exon sequencing will help to predict more precise outcomes and assess the importance of TP53 gene mutations in breast cancer patients.

关键词： Breast cancer p53 Gene expression Mutation SNPs

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融合乌尔都语词性序列预测的汉乌神经机器翻译

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计算机工程与科学 2024年第3期46卷 518-524页

作者：陈欢欢王剑 muhammad naeem Ul Hassan 昆明理工大学信息工程与自动化学院云南昆明650500 昆明理工大学云南省人工智能重点实验室云南昆明650500

面向南亚和东南亚的小语种机器翻译,目前已有不少研究团队开展了深入研究,但作为巴基斯坦官方语言的乌尔都语,由于稀缺的数据资源和与汉语之间的巨大差距,有针对性的汉乌机器翻译方法研究非常稀少。针对这种情况,提出了基于Transformer... 详细信息

面向南亚和东南亚的小语种机器翻译,目前已有不少研究团队开展了深入研究,但作为巴基斯坦官方语言的乌尔都语,由于稀缺的数据资源和与汉语之间的巨大差距,有针对性的汉乌机器翻译方法研究非常稀少。针对这种情况,提出了基于Transformer的融合乌尔都语词性序列的汉乌神经机器翻译模型。首先利用Transformer对目标语言乌尔都语的词性序列进行预测,然后将翻译模型的预测结果和词性序列模型的预测结果相结合进行联合预测,从而实现语言知识到翻译模型的融入。在现有小规模汉乌数据集上的实验表明,所提方法在数据集上的BLEU值相较于基准模型提升了0.13,取得了较为明显的效果。

关键词： Transformer 神经机器翻译乌尔都语词性序列

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TMPRSS2 Polymorphism and Its Correlation with SARS-CoV-2 Susceptibility - A Secondary Publication

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Journal of Clinical and Nursing Research 2024年第5期8卷 329-335页

作者： Saleem Awan Anum Siraj Amber Khan Arifa Anwar muhammad naeem Kiani Saira Yahya Department of Biosciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology(SZABIST)UniversityKarachiPakistan Department of Plant Breeding and Genetics Sindh Agriculture UniversityTandojamPakistan Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging School of Biomedical EngineeringShenzhen University Medical SchoolShenzhen UniversityShenzhen 518060Guangdong ProvinceChina

Background:Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)virus affected more people than SARS-CoV-1 and related *** genetic factors,besides respiratory droplets and direct exposure to the virus,are found highly responsible for transmitting SARS-CoV-2 ***:The objective of this study was to determine the plasma levels of the TMPRSS2 gene and its role in SARS-CoV-2 ***:A total of 100 patients,i.e.50 SARS-CoV-2 positive patients as the case group and 50 SARS-CoV-2 negative samples as the control group,were selected randomly and included in this case-control study to determine the association between TMPRSS2 gene and susceptibility to SARS-CoV-2 infection and severity of coronavirus disease 2019(COVID-19).The TMPRSS2 levels of case and control samples were measured through an enzyme-linked immunosorbent assay(ELISA).Following the genomic DNA extraction,a set of reverse and forward primers of human TMPRSS2 gene primers were used for the amplification of the TMPRSS2 ***:In the control group,the ratio of men to women was more or less the same while in the case group 62%of the population were *** TMPRSS2 level was found to be 4.70±7.7 ng/ml in case samples while it was 4.73±5.7 ng/ml in control ***:The levels of TMPRSS2 in plasma samples of both controls and cases were found to be the same indicating that the entry of SARS-CoV-2 is not dependent on the plasma levels of this protein.

关键词： TMPRSS2 SARS-CoV-2 ACE2 Gene COVID-19 Expression

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Aggregation operators and CRITIC-VIKOR method for confidence complex q-rung orthopair normal fuzzy information and their applications

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 40-63页

作者： Tahir Mahmood Zeeshan Ali muhammad naeem Department of Mathematics and Statistics International Islamic University IslamabadIslamabadPakistan Umm Al-Qura University MakkahSaudi Arabia

Supply chain management is an essential part of an organisation's sustainable *** the concentration of natural environment,public,and economic influence and feasibility of your suppliers and purchasers is becoming progressively familiar as all industries are moving towards a massive sustainable *** handle such sort of developments in supply chain management the involvement of fuzzy settings and their generalisations is playing an important *** in mind this role,the aim of this study is to analyse the role and involvement of complex q-rung orthopair normal fuzzy(CQRONF)information in supply chain *** major impact of this theory is to analyse the notion of confidence CQRONF weighted averaging,confidence CQRONF ordered weighted averaging,confidence CQRONF hybrid averaging,confidence CQRONF weighted geometric,confidence CQRONF ordered weighted geometric,confidence CQRONF hybrid geometric operators and try to diagnose various properties and ***,with the help of the CRITIC and VIKOR models,we diagnosed the novel theory of the CQRONF-CRITIC-VIKOR model to check the sensitivity analysis of the initiated ***,in the availability of diagnosed operators,we constructed a multi-attribute decision-making tool for finding a beneficial sustainable supplier to handle complex ***,the initiated operator's efficiency is proved by comparative analysis.

关键词： averaging/geometric aggregation operators complex q-rung orthopair normal fuzzy information confidence levels strategic decision-making methods

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A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification

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Computers, Materials & Continua 2023年第9期76卷 3727-3744页

作者： muhammad naeem Akram muhammad Usman Yaseen muhammad Waqar muhammad Imran Aftab Hussain Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Software Engineering Capital University of Science&TechnologyIslamabad44000Pakistan

This study presents a deep learning model for efficient intracranial hemorrhage(ICH)detection and subtype classification on non-contrast head computed tomography(CT)*** refers to bleeding in the skull,leading to the most critical life-threatening health condition requiring rapid and accurate *** is classified as intra-axial hemorrhage(intraventricular,intraparenchymal)and extra-axial hemorrhage(subdural,epidural,subarachnoid)based on the bleeding location inside the *** computer-aided diagnoses(CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan ***,these approaches performonly binary classification and suffer from a large number of parameters,which increase storage ***,the accuracy of brain hemorrhage detection in existing models is significantly low for medically critical *** overcome these problems,a fast and efficient system for the automatic detection of ICH is *** designed a double-branch model based on xception architecture that extracts spatial and instant features,concatenates them,and creates the 3D spatial context(common feature vectors)fed to a decision tree classifier for final *** data employed for the experimentation was gathered during the 2019 Radiologist Society of North America(RSNA)brain hemorrhage detection *** model outperformed benchmark models and achieved better accuracy in intraventricular(99.49%),subarachnoid(99.49%),intraparenchymal(99.10%),and subdural(98.09%)categories,thereby justifying the performance of the proposed double-branch xception architecture for ICH detection and classification.

关键词： Computed tomography convolutional neural networks intracranial hemorrhage xception architecture

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Numerical Simulation of Reiner–Rivlin Nanofluid Flow under the Influence of Thermal Radiation and Activation Energy over a Rotating Disk

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1669-1692页

作者： Arfan Shahzad muhammad Imran muhammad Nawaz naeem Mohsan Raza Department of Mathematics Government College University FaisalabadFaisalabad38000Pakistan Department of Sciences&Humanities National University of Computer and Emerging SciencesChiniot-Faisalabad CampusFaisalabad38000Pakistan

In current study,the numerical computations of Reiner–Rivlin nanofluid flow through a rotational disk under the influence of thermal radiation and Arrhenius activation energy is *** innovative physical situations,the motile microorganisms are incorporated *** multiple slip effects are considered in the boundary *** bioconvection of motile microorganism is utilized alongside nanofluids to provide stability to enhanced thermal *** Bioconvection pattern in various nanoparticles accredits novel applications of biotechnology like the synthesis of biological polymers,biosensors,fuel cells,petroleum engineering,and the natural *** deploying some suitable similarity transformation functions,the governing partial differential equations(PDEs)of the flow problem are rehabilitated into dimensionless *** accomplished ordinary differential equations(ODEs)are solved numerically through the bvp4c scheme via a built-in function in computational MATLAB *** upshots of some prominent physical and bioconvection parameters including wall slip parameters,thermophoresis parameter,Brownian motion parameter,Reiner–Revlin nanofluid parameter,Prandtl number,Peclet number,Lewis number,bioconvection Lewis number,and the mixed convection parameter against velocity,temperature,nanoparticles concentration,and density of motile microorganism profiles are dichotomized and pondered through graphs and *** presented computations show that the velocity profiles are de-escalated by the wall slip parameters while the thermal and solutal fields are upgraded with augmentation in thermophoresis number and wall slip *** presence of thermal radiation enhances the temperature profile of *** concentration profile of nanoparticles is boosted by intensification in activation ***,the increasing values of bioconvection Lewis number and Peclet number decay the motile microorganisms’field.

关键词： Reiner-Rivlin nanofluid bioconvection motile swimming microorganisms rotational disk multiple slip conditions bvp4c

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Novel Decision Making Methodology under Pythagorean Probabilistic Hesitant Fuzzy Einstein Aggregation Information

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1785-1811页

作者： Shahzaib Ashraf Bushra Batool muhammad naeem Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Department of Mathematics University of SargodhaSargodha40100Pakistan Department of Mathematics Deanship of Applied SciencesUmm Al-Qura UniversityMakkah24382Saudi Arabia

This research proposes multicriteria decision-making(MCDM)-based real-time Mesenchymal stem cells(MSC)transfusion *** testing phase of the methodology denotes the ability to stick to plastic surfaces,the upregulation and downregulation of certain surface protein markers,and lastly,the ability to differentiate into various cell ***,two scenarios of an enhanced dataset based on a medical perspective were created in the development phase to produce varying levels of ***,for real-timemonitoring ofCOVID-19 patients with different emergency levels(i.e.,mild,moderate,severe,and critical),an automated triage algorithmbased on a formal medical guideline is proposed,taking into account the improvement and deterioration procedures fromone level to the *** this strategy,Einstein aggregation information under the Pythagorean probabilistic hesitant fuzzy environment(PyPHFE)is *** operations on PyPHFE such as Einstein sum,product,scalar multiplication,and their properties are ***,several Pythagorean probabilistic hesitant fuzzy Einstein aggregation operators,namely the Pythagorean probabilistic hesitant fuzzy weighted average(PyPHFWA)operator,Pythagorean probabilistic hesitant fuzzy Einstein weighted geometric(PyPHFEWG)operator,Pythagorean probabilistic hesitant fuzzy Einstein ordered weighted average(PyPHFEOWA)operator,Pythagorean probabilistic hesitant fuzzy Einstein ordered weighted geometric(PyPHFEOWG)operator,Pythagorean probabilistic hesitant fuzzy Einstein hybrid average(PyPHFEHA)operator and Pythagorean probabilistic hesitant fuzzy Einstein hybrid geometric(PyPHFEHG)operator are *** the above-mentioned operators are helpful in design the algorithm to tackle uncertainty in decision making *** last,a numerical case study of decision making is presented to demonstrate the applicability and validity of the proposed ***,the comparison of the existing and the proposed technique is

关键词： Pythagorean probabilistic hesitant fuzzy set aggregation operators decision making

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Bioconvection Cross Diffusion Effects on MHD Flow of Nanofluids over Three Different Geometries with Melting

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Computer Modeling in Engineering & Sciences 2022年第5期131卷 1023-1039页

作者： Tahir Kamran muhammad Imran muhammad N.naeem Mohsan Raza Department of Mathematics Government College University FaisalabadFaisalabad38000Pakistan

Currently,nanofluid is a hot area of interest for *** nanofluid with bioconvection phenomenon attracted the researchers owing to its numerous applications in the field of nanotechnology,microbiology,nuclear science,heat storage devices,biosensors,biotechnology,hydrogen bomb,engine of motors,cancer treatment,the atomic reactor,cooling of devices,and in many *** article presents the bioconvection cross-diffusion effects on the magnetohydrodynamic flow of nanofluids on three different geometries(cone,wedge,and plate)with mixed *** temperature-dependent thermal conductivity,thermal diffusivity,and Arrhenius activation energy applications are considered on the fluid flow with melting *** flow is analyzed under thermal and solutal Robin’s *** problem is formulated in the mathematical formulation of partial differential equations(PDEs).The similarity transformations are applied to diminish the governing nonlinear coupled boundary value problems into higher-order non-linear ordinary differential equations(ODEs).The resulting expressions/equation numerically tackled utilizing the famous bvp4c package by MATLAB for various interesting *** results were physically and numerically calculated through graphics and tables for the velocity field,energy distribution,nanoparticles concentration,and microorganisms profile for numerous *** the obtained results,we discern that the transfer of heat and mass coefficient is high over a plate and cone in the flow,*** velocity profile is reduced via a larger magnetic *** thermal conductivity enhances the thermal *** thermophoresis enhanced the concentration of *** microorganisms’Biot number boosts the microorganism’s profile.

关键词： MHD nano-fluids bioconvection heat flux MATLAB

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