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| 1 | 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 |
| 2 | Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2显示文摘Background:Coronavirus disease 2019(COVID-19)linked with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)cause severe illness and life-threatening pneumonia in humans.The current COVID-19 pandemic demands an effective vaccine to acquire protection against the infection.Therefore,the present study was aimed to design a multiepitope-based subunit vaccine(MESV)against COVID-19.Methods:Structural proteins(Surface glycoprotein,Envelope protein,and Membrane glycoprotein)of SARS-CoV-2 are responsible for its prime functions.Sequences of proteins were downloaded from GenBank and several immunoinformatics coupled with computational approaches were employed to forecast B-and T-cell epitopes from the SARS-CoV-2 highly antigenic structural proteins to design an effective MESV.Results:Predicted epitopes suggested high antigenicity,conserveness,substantial interactions with the human leukocyte antigen(HLA)binding alleles,and collective global population coverage of 88.40%.Taken together,276 amino acids long MESV was designed by connecting 3 cytotoxic T lymphocytes(CTL),6 helper T lymphocyte(HTL)and 4 B-cell epitopes with suitable adjuvant and linkers.The MESV construct was non-allergenic,stable,and highly antigenic.Molecular docking showed a stable and high binding affinity of MESV with human pathogenic toll-like receptors-3(TLR3).Furthermore,in silico immune simulation revealed significant immunogenic response of MESV.Finally,MEV codons were optimized for its in silico cloning into the Escherichia coli K-12 system,to ensure its increased expression.Conclusion:The MESV developed in this study is capable of generating immune response against COVID-19.Therefore,if designed MESV further investigated experimentally,it would be an effective vaccine candidate against SARS-CoV-2 to control and prevent COVID-19. | Muhammad Tahir ul Qamar Farah Shahid Sadia Aslam Usman Ali Ashfaq Sidra Aslam Israr Fatima Muhammad Mazhar Fareed Ali Zohaib Ling-Ling Chen | 2020 | Infectious Diseases of Poverty2020，9，5： | 2 |
| 3 | Recent Insights into Signaling Responses to Cope Drought Stress in Rice显示文摘Drought is one of the hot topics needing urgent attention in the current era of climate change.It massively disturbs the rice growth and productivity and is becoming a serious threat.The drought avoidance strategies in rice include stomatal closure,cellular adaptation and changes in root development.Moreover,the endogenous plant hormones(abscisic acid and jasmonic acid)and reactive oxygen species have paramount importance in drought tolerance in rice.The drought tolerance induces modification in biochemical,molecular and physiological properties of plants.At the molecular level,expression of several transcription-factors is modulated which further determine the activation of drought responsive gene families.Mitogen activated protein kinases and Ca signaling pathways initiate an array of signaling cascade for mediating the gene expression in rice.Approaches,conventional breeding methods combined with modern emerging techniques such as genetic engineering,to improve rice drought tolerance were discussed.This review provided recent insights into major regulatory factors against drought stress,signaling mechanisms and molecular engineering strategies(including conventional transgenic and recent genome editing approaches)to induce drought tolerance in rice. | Muhammad Mahran ASLAM Muhammad Abdul Rehman RASHID Mohammad Aquil SIDDIQUI Muhammad Tahir KHAN Fozia FARHAT Shafquat YASMEEN Imtiaz Ahmad KHAN Shameem RAJA Fatima RASOOL Mahboob Ali SIAL ZHAO Yan | 2022 | Rice science2022，29，2： | 2 |
| 4 | COVID-19 and comorbidities of hepatic diseases in a global perspective显示文摘The worldwide outbreak of coronavirus disease 2019(COVID-19) has challenged the priorities of healthcare system in terms of different clinical management and infection transmission, particularly those related to hepatic-disease comorbidities. Epidemiological data evidenced that COVID-19 patients with altered liver function because of hepatitis infection and cholestasis have an adverse prognosis and experience worse health outcomes. COVID-19-associated liver injury is correlated with various liver diseases following a severe acute respiratory syndrome-coronavirus type 2(SARS-CoV-2) infection that can progress during the treatment of COVID-19 patients with or without pre-existing liver disease. SARS-CoV-2 can induce liver injury in a number of ways including direct cytopathic effect of the virus on cholangiocytes/hepatocytes, immune-mediated damage, hypoxia, and sepsis. Indeed, immediate cytopathogenic effects of SARSCoV-2 via its potential target, the angiotensin-converting enzyme-2 receptor, which is highly expressed in hepatocytes and cholangiocytes, renders the liver as an extra-respiratory organ with increased susceptibility to pathological outcomes. But, underlying COVID-19-linked liver disease pathogenesis with abnormal liver function tests(LFTs) is incompletely understood. Hence, we collated COVID-19-associated liver injuries with increased LFTs at the nexus of pre-existing liver diseases and COVID-19, and defining a plausible pathophysiological triad of COVID-19, hepatocellular damage, and liver disease. This review summarizes recent findings of the exacerbating role of COVID-19 in pre-existing liver disease and vice versa as well as international guidelines of clinical care, management, and treatment recommendations for COVID-19 patients with liver disease. | Aqsa Ahmad Syeda Momna Ishtiaq Junaid Ali Khan Rizwan Aslam Sultan Ali Muhammad Imran Arshad | 2021 | World Journal of Gastroenterology2021，27，13： | 1 |
| 5 | Contribution of greenhouse gas emissions during cropping and fallow seasons on total global warming potential in mono-rice paddy soils显示文摘 | Md Mozammel Haque Sang Yoon Kim Muhammad Aslam Ali | 2012 | Plant Soil2012，，387： | 1 |
| 6 | Metal-catalyzed synthesis of ultralong tin dioxide nanobelts: Electrical and optical properties with oxygen vacancy-related orange emission显示文摘 | Faheem K. Butt Chuanbao Cao Tariq Mahmood Faryal Idrees Muhammad Tahir Waheed S. Khan Zulfiqar Ali Muhammad Rizwan M. Tanveer Sajad Hussain Imran Aslam Dapeng Yu | 2014 | Materials Science in Semiconductor Processing2014，，： | 1 |
| 7 | Association of XRCC1, XRCC3, and XPD genetic polymorphism with an increased risk of hepatocellular carcinoma because of the hepatitis B and C virus显示文摘 | Asma Gulnaz Ali H. Sayyed Farah Amin Abrar ul Haq Khan Muhammad A. Aslam Rehan S. Shaikh Muhammad Ali | 2013 | European Journal of Gastroenterology & Hepatology2013，，2： | 1 |
| 8 | Effects of oyster shell on soil chemical and biological properties and cabbage productivity as a liming materials显示文摘 | Chang Hoon Lee Do Kyoung Lee Muhammad Aslam Ali Pil Joo Kim | 2008 | Waste Management2008，，12： | 1 |
| 9 | Estimation of Genetic Divergence and Character Association Studies in Local and Exotic Diversity Panels of Soybean(Glycine max L.)Genotypes显示文摘The availability of favorable genetic diversity is a thriving vitality for the success of a breeding program.It provides a firm basis of selecting superior breeding lines for the development of high yielding crop genotypes.In this context,present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean genotypes.Analysis of variance revealed significant response of the evaluated genotypes based on studied attributes.It depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity analysis.Correlation analysis revealed that seed yield per plant showed high positive correlation with 100-seed weight followed by pods per plant and plant height.Furthermore,path coefficient analysis exposed that pods per plant had maximum direct contribution in seed yield per plant followed by 100-seed weight,days to flowering and SPAD measurement.Genotype named“G-10”showed maximum yield per plant followed by 24607,G-52,24593,Arisoy,24566,17426,A-3127,24570 and 24567.Genetic diversity analysis grouped the evaluated germplasm into 17 clusters.All clusters showed zero intra-cluster variability;while inter-cluster divergence ranged from 9.00 to 91.11.Cluster V showed maximum inter-cluster distance with cluster XII followed by that of between V and VIII.Moreover,cluster IV with superior genotypes(G-10,24607,24593 and 24566),VI(17426 and 24567),XIII(24570)and X(Arisoy and G-52)showed above mean values for most of the studied characters.Overall,the results of hybridization between the superior genotypes of these cluster pairs might be useful for soybean breeding with improving agronomic traits and adaptability. | Syed Ali Zafar Muhammad Aslam Haroon Zaman Khan Sehrish Sarwar Rao Saad Rehman Mariam Hassan Ramala Masood Ahmad Rafaqat AGill Basharat Ali Ibrahim Al-Ashkar Abdullah Ibrahim Md Atikur Rahman Ayman El Sabagh | 2023 | Phyton-International Journal of Experimental Botany2023，92，6： | 0 |
| 10 | Treatment patterns of primary care physicians vs specialists prior to subspecialty urogynaecology referral for women suffering from pelvic floor disorders显示文摘BACKGROUND There are approximately 25% of women in the United States suffering from pelvic floor disorders (PFDs) and this number is predicted to rise. The potential complications and increasing healthcare costs that exist with an operation indicate the importance of conservative treatment options prior to attempting surgery. Considering the prevalence of PFDs, it is important for primary care physician and specialists (obstetricians and gynecologists) to be familiar with the initial work-up and the available conservative treatment options prior to subspecialist (urogynecologist) referral. AIM To assess the types of treatments that specialists attempted prior to subspecialty referral and determine the differences in referral patterns. METHODS This is a retrospective cohort study of 234 patients from a community teaching hospital referred to a single female pelvic medicine and reconstructive surgery (FPMRS) provider for PFD. Specialist vs primary care provider (PCP) referrals were compared. Number, length and treatment types were studied using descriptive statistics. RESULTS There were 184 referrals (78.6%) by specialists and 50 (21.4%) by PCP. Treatment (with Kegel exercises, pessary placements, and anticholinergic medications) was attempted on 51%(n = 26) of the PCP compared to 48%(n = 88) of the specialist referrals prior to FPMRS referral (P = 0.6). There was no significant difference in length of treatment prior to referral for PCPs vs specialists (14 mo vs 16 mo, respectively, P = 0.88). However, there was a significant difference in the patient’s average time with the condition prior to referral (35 mo vs 58 mo for PCP compared to specialist referrals)(P = 0.02). CONCLUSION One half of the patients referred to FPMRS clinic received treatment prior to referral. Thus, specialists and generalists can benefit from education regarding therapies for PFD before subspecialty referral. | Abigail Prentice Ali Ahmad Bazzi Muhammad Faisal Aslam | 2019 | World Journal of Methodology2019，9，2： | 0 |
| 11 | 用人工神经网络混合元启发式优化技术分析不可压缩黏性流体在收敛和发散通道中的流动:一种智能方法显示文摘本文采用人工神经网络(ANN)与进化算法(特别是阿基米德优化算法(AOA)和水循环算法(WCA)相结合的方法)对非线性磁流体动力学(MHD)的Jeffery-Hamel问题,特别是收敛和发散通道中的拉伸/收缩问题进行了数值研究。这种组合技术被称为ANN-AOA-WCA。将基于复杂非线性磁流体动力学Jeffery-Hamel问题的偏微分方程转化为速度和温度的非线性常微分方程系统,我们建立了基于人工神经网络的适应度函数来求解非线性微分问题。随后,采用了一种新的AOA和WCA结合方法(AOAWCA)来优化基于神经网络的适应度函数,并确定了神经网络的最优权值和偏差。为了证明提出混合方法的有效性和多功能性,探索了一系列雷诺数、通道角和可拉伸边界值的MHD模型,从而开发了两种不同的情况。ANN-AOA-WCA的数值结果与参考解(NDSOLVE)非常接近,NDSOLVE与ANNAOA-WCA的绝对误差约为3.35×10^(−8),对可拉伸收敛和发散通道的理解特别关键。此外,为了验证ANN-AOA-WCA技术,我们对150多个独立运行进行了统计分析,以获得适应度值。 | ASLAM Muhammad Naeem RIAZ Arshad SHAUKAT Nadeem ALI Shahzad AKRAM Safia BHATTI M.M. | 2023 | Journal of Central South University2023，30，12： | 0 |
| 12 | New type of cancer patients based on triangular cubic hesitant fuzzy TOPSIS method显示文摘In this paper,we define the new idea of triangular cubic hesitant fuzzy number(TCHFN).We discuss some basic operational laws of triangular cubic hesitant fuzzy number and hamming distance of TCHFNs.We introduce the new concept of triangular cubic hesitant TOPSIS method.Furthermore,we extend the classical cubic hesitant the technique for order of preference by similarity to ideal solution(TOPSIS)method to solve the Multi-Criteria decision-making(MCDM)method based on triangular cubic hesitant TOPSIS method.The new ranking method for TCHFNs is used to rank the alternatives.Finally,an illustrative example is given to verify and demonstrate the practicality and effectiveness of the proposed method. | Aliya Fahmi Muhammad Aslam Fuad Ali Ahmed Almahdi Fazli Amin | 2020 | International Journal of Biomathematics2020，13，1： | 0 |
| 13 | Role of Organic Amendments to Mitigate Cd Toxicity and Its Assimilation in Triticum aestivum L.显示文摘In soil biota,higher and enduring concentration of heavy metals like cadmium(Cd)is hazardous and associated with great loss in growth,yield,and quality parameters of most of the crop plants.Recently,in-situ applications of eco-friendly stabilizing agents in the form of organic modifications have been utilized to mitigate the adverse effects of Cd-toxicity.This controlled experiment was laid down to appraise the imprints of various applied organic amendments namely poultry manure(PM),farmyard manure(FYM),and sugarcane press mud(PS)to immobilize Cd in polluted soil.Moreover,phytoavailability of Cd in wheat was also accessed under an alkaline environment.Results revealed that the addition of FYM(5–10 ton ha^(-1))in Cd-contaminated soil significantly increased germination rate,leaf chlorophyll content,plant height,spike length,biological and grain yield amongst all applied organic amendments.Moreover,the addition of FYM(5–10 ton ha^(-1))also reduced the phytoavailability of Cd by 73–85%in the roots,57–83%in the shoots,and 81–90%in grains of wheat crop.Thus,it is affirmed that incorporation of FYM(5–10 ton ha^(-1))performed better to enhance wheat growth and yield by remediating Cd.Thus,the application of FYM(5–10 ton ha^(-1))reduced the toxicity induced by Cd to plants by declining its uptake and translocation as compared to all other applied organic amendments to immobilize Cd under sandy alkaline polluted soil. | Tauqeer Ahmad Yasir Sobia Aslam Muhammad Shahid Rizwan Allah Wasaya Muhammad Ateeq Muhammad Naeem Khan Sikander Khan Tanveer Walid Soufan Basharat Ali Allah Ditta Arpna Kumari Ayman EL Sabagh | 2022 | Phyton-International Journal of Experimental Botany2022，91，11： | 0 |
| 14 | Graphene Nanosheets Decorated with Copper Oxide Nanoparticles for the Photodegradation of Methylene Blue显示文摘Textile industries extensively use colorants,such as methylene blue,and if disposed off untreated,they contaminate the effluent streams,causing a severe impact on the environment and aquatic life.Photocatalytic degradation has been found as an inevitable approach to treat them.Herein,we decorated the copper oxide nanoparticles on graphene nanosheets during the reflux process.The resultant copper oxide/graphene nanocomposites were analyzed for structural and functional attributes.It was observed that on increasing the copper oxide contents,the z-average size of the resultant nanocomposites decreased.The X-ray diffraction analysis demonstrated the crystalline nature of the nanocomposite.The surface morphology of the copper oxide nanoparticles appeared to be spherical and that of the copper oxide/graphene composite somehow wrinkled.The infrared analysis indicated successful intercalation of precursors in the nanocomposite.The bandgap of copper oxide/graphene nanocomposites varied in the range of 1.03—1.30 eV,which indicated their effective photocatalytic activity.The results demonstrated that after 120 min of exposure,the methylene blue removal efficiency reached 94.0%,92.2%,and 89.4%(mass fraction)on the copper oxide/graphene nanocomposite at copper oxide nanoparticles to graphene nanosheets ratios of 1:1,1.5:1,and 2:1(mass ratio),respectively.The photodegradation performance of the prepared nano-catalyst was found satisfactory even after five cycles. | Samavia RAFIQ Zulfiqar Ali RAZA Muhammad ASLAM Muhammad Junaid BAKHTIYAR | 2022 | Chemical Research in Chinese Universities2022，38，6： | 0 |
| 15 | Fingerprint matching,spoof and liveness detection:classification and literature review显示文摘Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of invasion.In recent decade,several techniques are presented to address these challenges over well-known data-sets.This study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few decades.It divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous tech-niques.Among these,deep learning approach has outperformed other approaches and gained significant attention for future research.By reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations. | Syed Farooq ALI Muhammad Aamir KHAN Ahmed Sohail ASLAM | 2021 | Frontiers of Computer Science2021，15，1： | 0 |
| 16 | Analysis and Forecasting COVID-19 Outbreak in Pakistan Using Decomposition and Ensemble Model显示文摘COVID-19 has caused severe health complications and produced a substantial adverse economic impact around the world.Forecasting the trend of COVID-19 infections could help in executing policies to effectively reduce the number of new cases.In this study,we apply the decomposition and ensemble model to forecast COVID-19 confirmed cases,deaths,and recoveries in Pakistan for the upcoming month until the end of July.For the decomposition of data,the Ensemble Empirical Mode Decomposition(EEMD)technique is applied.EEMD decomposes the data into small components,called Intrinsic Mode Functions(IMFs).For individual IMFs modelling,we use the Autoregressive Integrated Moving Average(ARIMA)model.The data used in this study is obtained from the official website of Pakistan that is publicly available and designated for COVID-19 outbreak with daily updates.Our analyses reveal that the number of recoveries,new cases,and deaths are increasing in Pakistan exponentially.Based on the selected EEMD-ARIMA model,the new confirmed cases are expected to rise from 213,470 to 311,454 by 31 July 2020,which is an increase of almost 1.46 times with a 95%prediction interval of 246,529 to 376,379.The 95%prediction interval for recovery is 162,414 to 224,579,with an increase of almost two times in total from 100802 to 193495 by 31 July 2020.On the other hand,the deaths are expected to increase from 4395 to 6751,which is almost 1.54 times,with a 95%prediction interval of 5617 to 7885.Thus,the COVID-19 forecasting results of Pakistan are alarming for the next month until 31 July 2020.They also confirm that the EEMD-ARIMA model is useful for the short-term forecasting of COVID-19,and that it is capable of keeping track of the real COVID-19 data in nearly all scenarios.The decomposition and ensemble strategy can be useful to help decision-makers in developing short-term strategies about the current number of disease occurrences until an appropriate vaccine is developed. | Xiaoli Qiang Muhammad Aamir Muhammad Naeem Shaukat Ali Adnan Aslam Zehui Shao | 2021 | Computers, Materials & Continua2021，，7： | 0 |
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