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| 1 | Crop photosynthetic response to light quality and light intensity显示文摘Under natural conditions, plants constantly encounter various biotic and abiotic factors, which can potentially restrict plant growth and development and even limit crop productivity. Among various abiotic factors affecting plant photosynthesis, light serves as an important factor that drives carbon metabolism in plants and supports life on earth. The two components of light(light quality and light intensity) greatly affect plant photosynthesis and other plant's morphological, physiological and biochemical parameters. The response of plants to different spectral radiations and intensities differs in various species and also depends on growing conditions. To date, much research has been conducted regarding how different spectral radiations of varying intensity can affect plant growth and development. This review is an effort to briefly summarize the available information on the effects of light components on various plant parameters such as stem and leaf morphology and anatomy, stomatal development, photosynthetic apparatus, pigment composition, reactive oxygen species(ROS) production, antioxidants, and hormone production. | Iram SHAFIQ Sajad HUSSAIN Muhammad Ali RAZA Nasir IQBAL Muhammad Ahsan ASGHAR Ali RAZA FAN Yuan-fang Maryam MUMTAZ Muhammad SHOAIB Muhammad ANSAR Abdul MANAF YANG Wen-yu YANG Feng | 2021 | Journal of Integrative Agriculture2021，20，1： | 16 |
| 2 | Sludge granulation and efficiency of phase separator in UASB reactor treating combined industrial effluent显示文摘污泥使成粒状和 gas-liquid-solid 的效果隔板(图文集) designon upflow 的效率厌氧的污泥毛毯( UASB )和 upflow 厌氧的 sludgefilter ( UASF )反应堆,在从 3~12 h 的 HRT 操作 investigated.VSS/TS ratiogradually 在两个被增加有增加污泥的反应堆变老(从 0.5 到超过 0.7 forUASB 反应堆并且 0.012~0.043 为 UASF 反应堆) UASF sludgeshowed 的.X光线衍射分析扩展揭示它的另外的 abs | Abdullah Yasar Nasir Ahmad Muhammad Nawaz Chaudhry Aamir Amanat Ali Khan | 2007 | Journal of Environmental Sciences2007，19，5： | 6 |
| 3 | Vertical axis wind turbine – A review of various configurations and design techniques显示文摘 | Muhammad Mahmood Aslam Bhutta Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh. Rehan Jamil Zahid Hussain | 2011 | Renewable and Sustainable Energy Reviews2011，，4： | 3 |
| 4 | Forecasting cryptocurrency returns and volume using search engines显示文摘In the context of the debate on the role of cryptocurrencies in the economy as well as their dynamics and forecasting,this brief study analyzes the predictability of Bitcoin volume and returns using Google search values.We employed a rich set of established empirical approaches,including a VAR framework,a copulas approach,and non-parametric drawings,to capture a dependence structure.Using a weekly dataset from 2013 to 2017,our key results suggest that the frequency of Google searches leads to positive returns and a surge in Bitcoin trading volume.Shocks to search values have a positive effect,which persisted for at least a week.Our findings contribute to the debate on cryptocurrencies/Bitcoins and have profound implications in terms of understanding their dynamics,which are of special interest to investors and economic policymakers. | Muhammad Ali Nasir Toan Luu Duc Huynh Sang Phu Nguyen Duy Duong | 2019 | Financial Innovation2019，5，1： | 2 |
| 5 | Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method显示文摘In the Smart Grid(SG)residential environment,consumers change their power consumption routine according to the price and incentives announced by the utility,which causes the prices to deviate from the initial pattern.Thereby,electricity demand and price forecasting play a significant role and can help in terms of reliability and sustainability.Due to the massive amount of data,big data analytics for forecasting becomes a hot topic in the SG domain.In this paper,the changing and non-linearity of consumer consumption pattern complex data is taken as input.To minimize the computational cost and complexity of the data,the average of the feature engineering approaches includes:Recursive Feature Eliminator(RFE),Extreme Gradient Boosting(XGboost),Random Forest(RF),and are upgraded to extract the most relevant and significant features.To this end,we have proposed the DensetNet-121 network and Support Vector Machine(SVM)ensemble with Aquila Optimizer(AO)to ensure adaptability and handle the complexity of data in the classification.Further,the AO method helps to tune the parameters of DensNet(121 layers)and SVM,which achieves less training loss,computational time,minimized overfitting problems and more training/test accuracy.Performance evaluation metrics and statistical analysis validate the proposed model results are better than the benchmark schemes.Our proposed method has achieved a minimal value of the Mean Average Percentage Error(MAPE)rate i.e.,8%by DenseNet-AO and 6%by SVM-AO and the maximum accurateness rate of 92%and 95%,respectively. | Muhammad Irfan Ali Raza Faisal Althobiani Nasir Ayub Muhammad Idrees Zain Ali Kashif Rizwan Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Saifur Rahman Omar Alshorman Samar Alqhtani | 2022 | Computers, Materials & Continua2022，，9： | 2 |
| 6 | Energy Theft Identification Using Adaboost Ensembler in the Smart Grids显示文摘One of the major concerns for the utilities in the Smart Grid(SG)is electricity theft.With the implementation of smart meters,the frequency of energy usage and data collection from smart homes has increased,which makes it possible for advanced data analysis that was not previously possible.For this purpose,we have taken historical data of energy thieves and normal users.To avoid imbalance observation,biased estimates,we applied the interpolation method.Furthermore,the data unbalancing issue is resolved in this paper by Nearmiss undersampling technique and makes the data suitable for further processing.By proposing an improved version of Zeiler and Fergus Net(ZFNet)as a feature extraction approach,we had able to reduce the model’s time complexity.To minimize the overfitting issues,increase the training accuracy and reduce the training loss,we have proposed an enhanced method by merging Adaptive Boosting(AdaBoost)classifier with Coronavirus Herd Immunity Optimizer(CHIO)and Forensic based Investigation Optimizer(FBIO).In terms of low computational complexity,minimized over-fitting problems on a large quantity of data,reduced training time and training loss and increased training accuracy,our model outperforms the benchmark scheme.Our proposed algorithms Ada-CHIO andAda-FBIO,have the low MeanAverage Percentage Error(MAPE)value of error,i.e.,6.8%and 9.5%,respectively.Furthermore,due to the stability of our model our proposed algorithms Ada-CHIO and Ada-FBIO have achieved the accuracy of 93%and 90%.Statistical analysis shows that the hypothesis we proved using statistics is authentic for the proposed technique against benchmark algorithms,which also depicts the superiority of our proposed techniques. | Muhammad Irfan Nasir Ayub Faisal Althobiani Zain Ali Muhammad Idrees Saeed Ullah Saifur Rahman Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Fahad Salem Alkahtani Samar Alqhtani Piotr Gas | 2022 | Computers, Materials & Continua2022，，7： | 1 |
| 7 | Distribution, toxicity level, and concentration of polycyclic aromatic hydrocarbons (PAHs) in surface soil and groundwater of Rawalpindi, Pakistan显示文摘 | Beenish Saba Imran Hashmi Muhammad Ali Awan Habib Nasir Sher Jamal Khan | 2012 | 2012 (1-3)2012，，1： | 1 |
| 8 | Effects of Convolvulus arvensis Water Extract on Germination of Okra Under Different Seed Sizes显示文摘Convolvulus arvensis is a toxic allelopathic weed that suppresses germination and growth of crops.The prime object of present study was to investigate effect of Convolvulus arvensis water extract on germination and performance of okra with different seed sizes.The seeds of okra variety pusa green were separated into three different sizes,viz large size(4.00-5.00 mm),medium size(3.00-3.50 mm)and small size(2.00-3.50 mm),and then soaked in allelopathic plant bindweed water extract and kept in patrisdishes for germination into the germinator at 15℃.The experiment was laid out using Complete Randomized Design(CRD)with three replications.The results showed that after sowing of 12 days the highest germination was observed in non-treated seeds as compared to seeds treated in Convolvulus arvensis water extract for 1 h,further non-treated large seeds produced maximum plants as compared to treated small seeds after sowing of 24 days.Meanwhile,root length,shoot length,root fresh and dry weight,shoot fresh and dry weight were recorded higher in non-treated large seeds as compared to small seeds soaked for 1 h in Convolvulus arvensis allelopthic water extract.It could be found that Convolvulus arvensis affected germination,seed growth and overall performance of okra,further presence Convolvulus arvensis in crops could cause negative impact on germination and integrity of okra crops. | Abid Hussain Khoso Ghulam Mustafa Laghari Aziz Ahmed Laghari Ali Muhammad Bozdar Asif Ali Kaleri Nasir Ali | 2017 | Journal of Northeast Agricultural University(English Edition)2017，24，1： | 0 |
| 9 | 二元金属硫族化合物在能源储存体系中的作用:挑战和可能的解决策略显示文摘二元金属硫族化合物由于其丰富的相界面、高活性位点、优异的导电性以及快速的电化学动力学,与单金属硫族化合物相比具有更加优异的电化学性能.然而,材料的本征离子电导率低,在充放电过程中结构发生反复的团聚与断裂,体积膨胀大等因素导致其电化学性能衰减严重.为了解决上述问题,诸多策略被提出并用于调控二元金属硫族化合物的纳米结构以获得优化的电极材料.但是目前依旧缺乏对二元金属硫族化合物电化学过程的系统认识,也因此限制了其大规模的商业化应用.在这篇综述中,我们不仅重点介绍了基于二元金属硫族化合物电极材料制备的最新研究进展,还通过解释二元金属硫族化合物的电化学动力学,进一步构建和理解了这类材料的构效关系.此外,我们讨论了通过纳米结构化和使用碳材料与三维模板与之形成复合材料的策略来调控和修饰二元金属硫族化合物,并将详细讨论二元金属硫族化合物在超级电容器、金属离子电池、金属空气电池以及碱金属电池等电化学能源储存体系中的工作机理.最后,我们总结了二元金属硫族化合物在发展实际能源器件的过程中面临的主要挑战及可能的解决策略.我们相信,这篇综述将对如何调控二元金属硫族化合物的理化性质以获得优异的电化学器件提供指导性建议. | Yousaf Muhammad Naseer Ufra Ali Imran 李一举 Aftab Waseem Mahmood Asif Mahmood Nasir 高鹏 姜银珠 郭少军 | 2022 | Science China Materials2022，65，3： | 0 |
| 10 | Optimization of Coronavirus Pandemic Model Through Artificial Intelligence显示文摘Artificial intelligence is demonstrated by machines,unlike the natural intelligence displayed by animals,including humans.Artificial intelligence research has been defined as the field of study of intelligent agents,which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals.The techniques of intelligent computing solve many applications of mathematical modeling.The researchworkwas designed via a particularmethod of artificial neural networks to solve the mathematical model of coronavirus.The representation of the mathematical model is made via systems of nonlinear ordinary differential equations.These differential equations are established by collecting the susceptible,the exposed,the symptomatic,super spreaders,infection with asymptomatic,hospitalized,recovery,and fatality classes.The generation of the coronavirus model’s dataset is exploited by the strength of the explicit Runge Kutta method for different countries like India,Pakistan,Italy,and many more.The generated dataset is approximately used for training,validation,and testing processes for each cyclic update in Bayesian Regularization Backpropagation for the numerical treatment of the dynamics of the desired model.The performance and effectiveness of the designed methodology are checked through mean squared error,error histograms,numerical solutions,absolute error,and regression analysis. | Manal M.Alqarni Arooj Nasir Dumitru Baleanu Ali Raza Tahir Nawaz Cheema Nauman Ahmed Muhammad Rafiq Umbreen Fatima Emad E.Mahmoud | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 11 | 烧结铜丝和沟槽热管热性能特性的实验研究显示文摘热管是最常用的热管理解决方案。为达到最佳效果,在特定的情况下选择合适的热管类型是非常必要的。本研究的目的是比较烧结铜丝热管和沟槽热管两种常用热管的热性能特点。采用重力辅助定位实验对充蒸馏水热管进行了测试,得到毛细管压力、操作温度、热阻和传热系数等参数结果。烧结热管的毛细管压力比所有尺寸沟槽热管的都高。在相同的热负荷下,与烧结热管相比,沟槽热管的工作温度更低。在8 W热负荷下,与烧结热管相比,沟槽热管冷凝器表面温度降低8.24%,蒸发器表面温度降低4.41%,饱和温度降低7.79%。烧结热管的热阻比沟槽热管低得多,在8 W热负荷下,最大相对差值为63.8%。在8 W热负荷下,烧结热管的传热系数是开槽热管的2倍。烧结热管的热阻和传热系数随热负荷的变化几乎呈线性变化,而沟槽热管的热阻和传热系数却出现意外的拐点。与烧结热管相比,沟槽热管更早达到平衡。当热负荷从4增加至20 W时,沟槽热管达到平衡的时间从7 min缩短至4 min,烧结热管的平衡时间从10 min缩短至7 min。 | Saif Ullah KHALID Hafiz Muhammad ALI Muhammad Ali NASIR Riffat Asim PASHA ZAFAR SAID L.Syam SUNDAR Ahmed Kadhim HUSSEIN | 2021 | Journal of Central South University2021，28，11： | 0 |
| 12 | An Efficient Procedure for DNA Isolation and Profiling of the Hyper Variable MtDNA Sequences显示文摘 | Nazia Akbar Habib Ahmad Muhammad Shahid Nadeen Nasir Ali Muhammad Saadiq | 2015 | Journal of Life Sciences2015，9，11： | 0 |
| 13 | Statistical Modelling of Ultrasonic Pulse Velocity of Fly Ash Based Geopolymer Mortar using Response Surface Methodology显示文摘The fly ash based geopolymer has emerged as a capable and sustainable binder material in construction industry.Ultrasonic pulse velocity(UPV)method is a non-destructive technique for investigating the mechanical performance of concrete.Experimental investigation was performed for studying the effect of NaOH Molarity,Na2SiO3/NaOH and curing temperature on the ultrasonic pulse velocity of geopolymer mortar.Experiments were designed based on central composite design(CCD)technique of response surface methodology(RSM).Statistical model was developed and statistically validated and found significant as the difference between adjustable R-squared and predicted R-squared less than 0.2.Finally,the optimized mix proportion was assessed for maximized value of UPV.Experimental validation on the optimized mix reveals the close agreement between experimental and predicted values of UPV with significance level of more than 95%.The proposed technique improves the yield,the reliability of the product and the processes. | Muhammad Zahid Nasir Shafiq Muhammad Ali | 2019 | Journal of Architectural Environment & Structural Engineering Research2019，2，4： | 0 |
| 14 | Engineered Hybrid Materials with Smart Surfaces for Effective Mitigation of Petroleum-Originated Pollutants显示文摘The generation and controlled or uncontrolled release of hydrocarbon-contaminated industrial wastewater effluents to water matrices are a major environmental concern.The contaminated water comes to surface in the form of stable emulsions,which sometimes require different techniques to mitigate or separate effectively.Both the crude emulsions and hydrocarbon-contaminated wastewater effluents contain suspended solids,oil/grease,organic matter,toxic elements,salts,and recalcitrant chemicals.Suitable treatment of crude oil emulsions has been one of the most important challenges due to the complex nature and the substantial amount of generated waste.Moreover,the recovery of oil from waste will help meet the increasing demand for oil and its derivatives.In this context,functional nanostructured materials with smart surfaces and switchable wettability properties have gained increasing attention because of their excellent performance in the separation of oil–water emulsions.Recent improvements in the design,composition,morphology,and fine-tuning of polymeric nanostructured materials have resulted in enhanced demulsification functionalities.Herein,we reviewed the environmental impacts of crude oil emulsions and hydrocarbon-contaminated wastewater effluents.Their effective treatments by smart polymeric nanostructured materials with wettability properties have been stated with suitable examples.The fundamental mechanisms underpinning the efficient separation of oil–water emulsions are discussed with suitable examples along with the future perspectives of smart materials. | Nisar Ali Muhammad Bilal Adnan Khan Farman Ali Mohamad Nasir Mohamad Ibrahim Xiaoyan Gao Shizhong Zhang Kun Hong Hafiz MNIqbal | 2021 | Engineering2021，7，10： | 0 |
| 15 | National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma显示文摘A consensus meeting of national experts from all major national hepatobiliary centres in the country was held on May 26,2023,at the Pakistan Kidney and Liver Institute&Research Centre(PKLI&RC)after initial consultations with the experts.The Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised this meeting.This effort was based on a comprehensive literature review to establish national practice guidelines for hilar cholangiocarcinoma(hCCA).The consensus was that hCCA is a complex disease and requires a multidisciplinary team approach to best manage these patients.This coordinated effort can minimise delays and give patients a chance for curative treatment and effective palliation.The diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance cholangiopancreato-graphy.Brush cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for diagnosis.However,histopathologic confirmation is not always required before resection.Endoscopic ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for staging.The only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette classification.Selected patients with unresectable hCCA can be considered for liver transplantation.Adjuvant chemotherapy should be offered to patients with a high risk of recurrence.The use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary discussions.Patients with acute cholangitis can be drained with endoscopic or percutaneous biliary drainage.Palliative chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA. | Faisal Saud Dar Zaigham Abbas Irfan Ahmed Muhammad Atique Usman Iqbal Aujla Muhammad Azeemuddin Zeba Aziz Abu Bakar Hafeez Bhatti Tariq Ali Bangash Amna Subhan Butt Osama Tariq Butt Abdul Wahab Dogar Javed Iqbal Farooqi Faisal Hanif Jahanzaib Haider Siraj Haider Syed Mujahid Hassan Adnan Abdul Jabbar Aman Nawaz Khan Muhammad Shoaib Khan Muhammad Yasir Khan Amer Latif Nasir Hassan Luck Ahmad Karim Malik Kamran Rashid Sohail Rashid Mohammad Salih Abdullah Saeed Amjad Salamat Ghias-un-Nabi Tayyab Aasim Yusuf Haseeb Haider Zia Ammara Naveed | 2024 | World Journal of Gastroenterology2024，30，9： | 0 |
| 16 | Compact Multibeam Array with Miniaturized Butler Matrix for 5G Applications显示文摘This paper presents the design and implementation of a miniaturized beam steering network that produces broadside beams when it is fed with a compact antenna array.Butler Matrix(BM)was used as the beam steering network.It was completely built from a miniaturized 3 dB hybrid-couplers in planar microstrip technology.It was configured by feeding the BM with a Planar Inverted-E Antenna(PIEA)array separated at 0.3λas against the 0.5λseparation.This makes the BM produce a major radiation pattern at the broadside.Apart from the miniaturization,no modification was made from the BM side.However,employing effective mutual coupling reduction techniques helped to design the compact PIEA array.The validity of this BM based multibeam PIEA array was demonstrated by comparing the simulation results of the reflection coefficients,transmissions coefficients and the radiation pattern with measurements.The measurement results showed good agreement with simulations. | Suleiman A.Babale Muhammad K.Ishfaq Ali Raza Jamal Nasir Ahmad Fayyaz Umer Ijaz | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 17 | Genes and Transcriptional Factors in Chili Plant with Aspect to Metabolism and Resistance against Virus, Bacteria and Fungi: A Review显示文摘 | Arfan Ali Muhammad Sarmad Iftikhar Muhammad Munawar Muqadas Aleem Sajed Ali Saira Azam Idrees Ahmad Nasir Tayyab Husnain Umair Majid Muhammad Sameer Akram Tajasar Kamran Shehzad Bajwa Tahir Rehman Samiullah | 2014 | Journal of Agricultural Science and Technology(B)2014，4，7： | 0 |
| 18 | New Trends in the Modeling of Diseases Through Computational Techniques显示文摘The computational techniques are a set of novel problem-solving methodologies that have attracted wider attention for their excellent performance.The handling strategies of real-world problems are artificial neural networks(ANN),evolutionary computing(EC),and many more.An estimated fifty thousand to ninety thousand new leishmaniasis cases occur annually,with only 25%to 45%reported to the World Health Organization(WHO).It remains one of the top parasitic diseases with outbreak and mortality potential.In 2020,more than ninety percent of new cases reported to World Health Organization(WHO)occurred in ten countries:Brazil,China,Ethiopia,Eritrea,India,Kenya,Somalia,South Sudan,Sudan,and Yemen.The transmission of visceral leishmaniasis is studied dynamically and numerically.The study included positivity,boundedness,equilibria,reproduction number,and local stability of the model in the dynamical analysis.Some detailed methods like Runge Kutta and Euler depend on time steps and violate the physical relevance of the disease.They produce negative and unbounded results,so in disease dynamics,such developments have no biological significance;in other words,these results are meaningless.But the implicit nonstandard finite difference method does not depend on time step,positive,bounded,dynamic and consistent.All the computational techniques and their results were compared using computer simulations. | Nesreen Althobaiti Ali Raza Arooj Nasir Jan Awrejcewicz Muhammad Rafiq Nauman Ahmed Witold Pawłowski Muhammad Jawaz Emad E.Mahmoud | 2023 | Computer Systems Science & Engineering2023，45，6： | 0 |
| 19 | Discovery of Simple Sequence Repeat Markers through Transcriptome Analysis of Baccaurea motleyana显示文摘Baccaurea motleyana(rambai)is underutilized fruits that are native to Malaysia,Indonesia and Thailand.In this study,a total of 54,779 unigenes identified from rambai transcriptome were used for simple sequence repeat(SSR)analysis by MIcroSAtellite(MISA).A total of 20,420 SSRs were found to be distributed within 37.27%of the total number of unigenes.Mononucleotide repeats represented the main type,accounting for 64.04%,followed by trinucleotide repeats(20.28%)and dinucleotide repeats(19.94%).Gene annotation to seven databases has a success ratio of 68.53%(National Center for Biotechnology Information(NCBI)protein sequences),53.68%(NCBI nucleotide sequences),27.43%(Kyoto Encyclopedia of Genes and Genome Ortholog),56.0%(SwissProt),52.44%(Protein family),53.99%(Gene Ontology)and 26.44%(Kluster of Orthologous Group).Further rambai SSRs were randomly selected and validated to B.motleyana(rambai),B.macrocarpa(tampoi),B.polyneura(jentik-jentik),B.ramiflora(pupor)and B.scortechinii(setambun). | Khairun Hisam Nasir Muhammad Fairuz Mohd Yusof Mohd Shahril Firdaus Abdul Razak Siti NorsaidahIbrahim Mira Farzana Mohamad Moktar Khadijah Awang Mohd Shukri Mat Ali | 2020 | Journal of Food Science and Engineering2020，10，2： | 0 |
| 20 | Bio-Inspired Modelling of Disease Through Delayed Strategies显示文摘In 2020,the reported cases were 0.12 million in the six regions to the official report of the World Health Organization(WHO).For most children infected with leprosy,0.008629 million cases were detected under fifteen.The total infected ratio of the children population is approximately 4.4 million.Due to theCOVID-19 pandemic,the awareness programs implementation has been disturbed.Leprosy disease still has a threat and puts people in danger.Nonlinear delayed modeling is critical in various allied sciences,including computational biology,computational chemistry,computational physics,and computational economics,to name a few.The time delay effect in treating leprosy delayed epidemic model is investigated.The whole population is divided into four groups:those who are susceptible,those who have been exposed,those who have been infected,and those who have been vaccinated.The local and global stability of well-known conclusions like the Routh Hurwitz criterion and the Lyapunov function has been proven.The parameters’sensitivity is also examined.The analytical analysis is supported by computer results that are presented in a variety of ways.The proposed approach in this paper preserves equilibrium points and their stabilities,the existence and uniqueness of solutions,and the computational ease of implementation. | Arooj Nasir Dumitru Baleanu Ali Raza Pervez Anwar Nauman Ahmed Muhammad Rafiq Tahir Nawaz Cheema | 2022 | Computers, Materials & Continua2022，，12： | 0 |
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