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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 | 磷基钠离子电池负极材料研究进展显示文摘钠离子电池因丰富的钠储量以及与锂离子电池相似的工作原理,是重要的可替代锂离子电池的新型储能技术。但是较低能量密度和功率密度阻碍了钠离子电池的大规模应用。因此高性能钠离子电池电极材料特别是负极材料的研发成为钠离子电池发展的关键。磷基电极材料具有较高的理论容量,且储量丰富价格低廉,因此其成为极具应用前景的钠离子电池负极材料。然而,导电性差和过大的体积膨胀导致磷基负极容量和循环寿命低,通过尺寸结构调控和与碳基或非碳基材料复合能够有效缓解磷基电极材缺陷,从而提高钠离子电池的循环容量、稳定性与倍率性能。本文详细综述了近年来磷基钠离子电池负极材料的最新研究进展,主要包括储钠机理和改性策略,总结了目前磷基负极材料研究存在的问题,并提出了解决这些问题的方法和策略,最后对钠离子电池发展前景进行了展望。 | 王思岚 杨国锐 Muhammad Salman Nasir 王筱珺 王嘉楠 延卫 | 2021 | 物理化学学报2021，37，12： | 7 |
| 3 | 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 |
| 4 | Overexpression of the phytochrome B gene from Arabidopsis thaliana increases plant growth and yield of cotton (Gossypium hirsutum)显示文摘The phytochrome B (PHYB) gene of Arabidopsis thaliana was introduced into cotton through Agrobacterium tumefaciens.Integration and expression of PHYB gene in cotton plants were confirmed by molecular evidence.Messenger RNA (mRNA) expression in one of the transgenic lines,QCC11,was much higher than those of control and other transgenic lines.Transgenic cotton plants showed more than a two-fold increase in photosynthetic rate and more than a four-fold increase in transpiration rate and stomatal conductance.The increase in photosynthetic rate led to a 46% increase in relative growth rate and an 18% increase in net assimilation rate.Data recorded up to two generations,both in the greenhouse and in the field,revealed that overexpression of Arabidopsis thaliana PHYB gene in transgenic cotton plants resulted in an increase in the production of cotton by improving the cotton plant growth,with 35% more yield.Moreover,the presence of the Arabidopsis thaliana PHYB gene caused pleiotropic effects like semi-dwarfism,decrease in apical dominance,and increase in boll size. | Abdul Qayyum RAO Muhammad IRFAN Zafar SALEEM Idrees Ahmad NASIR Sheikh RIAZUDDIN Tayyab HUSNAIN | 2011 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2011，12，4： | 4 |
| 5 | 小麦秸秆发酵产生的真菌Pleurotus ostreatus IBL-02锰过氧化物酶的溶胶-凝胶固定化及其催化污水脱色(英文)显示文摘Solid state bio-processing of wheat straw was carried out through an indigenous fungal strain Pleurotus ostreatus IBL-02 under pre-optimized fermentation conditions. The maximum activity, 692±12 U/mL, of the industrially important manganese peroxidase (MnP) enzyme was recorded after five days of still culture incubation. The crude MnP was 2.1-fold purified with a specific activity of 860 U/mg after purification on a Sephadex-G-100 gel column. On native and SDS-PAGE electrophoresis gels, the purified MnP fraction was a single homogenous band of 45 kDa. An active fraction of MnP was immobilized using hydrophobic sol-gel entrapment comprising tetramethoxysilane (T) and propyltrimethoxysilane (P) at different T:P molar ratios. Characterization revealed that after 24 h incubation at varying pH and temperatures, the MnP fraction immobilized at a T:P ratio of 1:2 in the sol-gel retained 82% and 75% of its original activity at pH4 and 70 ℃, respectively. The optimally active fraction at a 1:2 T:P ratio was tested against MnSO4 as a substrate to determine the kinetic catalytic constants KM and Vmax . To explore the industrial applicability of P. ostreatus IBL-02 MnP, both the free and immobilized MnP were used for the decolorization of four different textile industrial effluents. A maximum of 100% decolorization was achieved for the different textile effluents within the shortest time period. A lower KM , higher Vmax , hyper-activation, and enhanced acidic and thermal resistance up to 70 ℃ were the novel catalytic features of the sol-gel immobilized MnP, suggesting that it may be a potential candidate for biotechnological applications particularly for textile bioremediation purposes. | Muhammad Asgher Bazgha Aslam Hafiz Muhammad Nasir Iqbal | 2013 | 催化学报2013，34，9： | 4 |
| 6 | 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 |
| 7 | Performance evaluation of multicast relay network using LDPC and convolutional channel codes along-with XOR network coding显示文摘In this paper,we have compared the performance of joint network channel coding(JNCC) for multicast relay network using low density parity check(LDPC) codes and Convolutional codes as channel codes while exclusive or(XOR) network coding used at the intermediate relay nodes.Multicast relay transmission is a type of transmission scheme in which two fixed relay nodes contribute in the second hop of end-to-end transmission between base transceiver station(BTS) and a pair of mobile stations.We have considered one way and two way multicast scenarios to evaluate the bit error rate(BER) and throughput performance.It has been shown that when using XOR network coding at the intermediate relay nodes,the same transmission becomes possible in less time slots hence throughput performance can be improved.Moreover we have also discussed two possible scenarios in the proposed system model,in which both diversity and multiplexing gain has been considered.It is worth notifying that BER and throughput achieved for LDPC codes is better than Convolutional codes for all the schemes discussed. | Tariq Aziz Nasir Saleem Muhammad Iqba | 2012 | The Journal of China Universities of Posts and Telecommunications2012，19，4： | 3 |
| 8 | Recent Progress,Challenges,and Prospects in Two‑Dimensional Photo‑Catalyst Materials and Environmental Remediation显示文摘The successful photo-catalyst library gives significant information on feature that affects photo-catalytic performance and proposes new materials.Competency is considerably significant to form multi-functional photo-catalysts with flexible characteristics.Since recently,two-dimensional materials(2DMs)gained much attention from researchers,due to their unique thickness-dependent uses,mainly for photo-catalytic,outstanding chemical and physical properties.Photo-catalytic water splitting and hydrogen(H2)evolution by plentiful compounds as electron(e−)donors is estimated to participate in constructing clean method for solar H2-formation.Heterogeneous photocatalysis received much research attention caused by their applications to tackle numerous energy and environmental issues.This broad review explains progress regarding 2DMs,significance in structure,and catalytic results.We will discuss in detail current progresses of approaches for adjusting 2DMs-based photo-catalysts to assess their photo-activity including doping,hetero-structure scheme,and functional formation assembly.Suggested plans,e.g.,doping and sensitization of semiconducting 2DMs,increasing electrical conductance,improving catalytic active sites,strengthening interface coupling in semiconductors(SCs)2DMs,forming nano-structures,building multi-junction nano-composites,increasing photo-stability of SCs,and using combined results of adapted approaches,are summed up.Hence,to further improve 2DMs photo-catalyst properties,hetero-structure design-based 2DMs’photo-catalyst basic mechanism is also reviewed. | Karim Khan Ayesha Khan Tareen Muhammad Aslam Rizwan Ur Rehman Sagar Bin Zhang Weichun Huang Asif Mahmood Nasir Mahmood Kishwar Khan Han Zhang Zhongyi Guo | 2020 | Nano-Micro Letters2020，12，12： | 2 |
| 9 | Regolith thickness modeling using a GIS approach for landslide distribution analysis, NW Himalayas显示文摘Regolith thickness is considered as a contributing factor for the occurrence of landslides.Although, mostly it is ignored because of complex nature and as it requires more time and resources for investigation. This study aimed to appraise the role of regolith thickness on landslide distribution in the Muzaffarabad and surrounding areas, NW Himalayas.For this purpose regolith thickness samples were evenly collected from all the lithological units at representative sites within different slope and elevation classes in the field. Topographic attributes(slope, aspect, drainage, Topographic Wetness Index,elevation and curvature) were derived from the Digital Elevation Model(DEM)(12.5 m resolution).Arc GIS Model Builder was used to develop the regolith thickness model. Stepwise regression technique was used to explore the spatial variation of regolith thickness using topographic attributes and lithological units. The derived model explains about 88% regolith thickness variation. The model was validated and shows good agreement(70%) between observed and predicted values. Subsequently, the derived regolith model was used to understand the relationship between regolith thickness and landslide distribution. The analysis shows that most of the landslides were located within 1-5 m regolith thickness. However, landslide concentration is highest within 5-10 m regolith thickness, which shows that regolith thickness played a significant role for the occurrence of landslide in the studied area. | Muhammad BASHARAT Masood QASIM Muhammad SHAFIQUE Nasir HAMEED Muhammad Tayyib RIAZ Muhammad Rustam KHAN | 2018 | Journal of Mountain Science2018，15，11： | 2 |
| 10 | 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 |
| 11 | Bifunctional catalysts of Co3O4@GCN tubular nanostructured (TNS) hybrids for oxygen and hydrogen evolution reactions显示文摘为氧和氢进化反应(OER/HER ) 的催化剂在精力采购例如切开的水的可更新的绿色的心。尽管不可思议的努力被作了为 OER 和她开发有效催化剂,大挑战在 bifunctional 催化剂的发展尚待。这里,我们报导公司 3 在 graphitic 碳氮化物(GCN ) 的管状的 nanostructures 嵌入并且在低温度通过一个灵巧的、大规模化学方法综合了的 O 4 。在公司 3 O 4 和 GCN 为 OER 和她作为 bifunctional 催化剂导致了优秀性能。混血儿的高表面区域,唯一的管状的 nanostructure,和作文为催化作用使所有氧化还原作用地点容易可得到并且提供了更快的离子、电子的传导。公司 3 O 4@GCN 管状的 nanostructured (TNS ) 混血儿展出了最低过电位(0.12 V ) 和优秀当前的密度(在 OER 的 147 妈 / 厘米 2) ,比基准 IrO 2 和 RuO 2, 并且与在碱的媒介的优异耐久性好。而且,公司 3 O 4@GCN TNS 混血儿在她表明了优秀性能与低得多的发作和过电位,并且稳定的当前的密度。这被期望公司 3 在这研究开发的 O 4@GCN TNS 混血儿将是在大规模水切开和燃料房间的高贵金属催化剂的一种吸引人的选择。 | Muhammad Tahir Nasir Mahmood Xiaoxue Zhang Tariq Mahmood Faheem. K. Butt Imran Aslam M.Tanveer Faryal Idrees Syed Khalid Imran Shakir Yiming Yan Jijun Zou Chuanbao Cao Yanglong Hou | 2015 | Nano Research2015，8，11： | 2 |
| 12 | Novel applications of bipolar single-valued neutrosophic competition graphs显示文摘Bipolar single-valued neutrosophic models are the generalization of bipolar fuzzy models. We first introduce the concept of bipolar single-valued neutrosophic competition graphs. We then, discuss some important propositions related to bipolar single-valued neutrosophic competition graphs. We define bipolar single-valued neutrosophic economic competition graphs and m-step bipolar single-valued neutrosophic economic competition graphs. Further, we describe applications of bipolar single-valued neutrosophic competition graphs in organizational designations and brands competition. Finally, we present our improved methods by algorithms. | Muhammad Akram Maryam Nasir K.P.Shum | 2018 | Applied Mathematics(A Journal of Chinese Universities)2018，33，4： | 2 |
| 13 | 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 |
| 14 | A Hybrid Deep Learning Architecture for the Classification of Superhero Fashion Products:An Application for Medical-Tech Classification显示文摘Comic character detection is becoming an exciting and growing research area in the domain of machine learning.In this regard,recently,many methods are proposed to provide adequate performance.However,most of these methods utilized the custom datasets,containing a few hundred images and fewer classes,to evaluate the performances of their models without comparing it,with some standard datasets.This article takes advantage of utilizing a standard publicly dataset taken from a competition,and proposes a generic data balancing technique for imbalanced dataset to enhance and enable the in-depth training of the CNN.In addition,to classify the superheroes efficiently,a custom 17-layer deep convolutional neural network is also proposed.The computed results achieved overall classification accuracy of 97.9%which is significantly superior to the accuracy of competition’s winner. | Inzamam Mashood Nasir Muhammad Attique Khan Majed Alhaisoni Tanzila Saba Amjad Rehman Tassawar Iqbal | 2020 | Computer Modeling in Engineering & Sciences2020，，9： | 1 |
| 15 | Simulation of the thermal stress in mass concrete using a thermal stress measuring device显示文摘 | Muhammad Nasir Amin Jeong-Su Kim Yun Lee Jin-Keun Kim | 2008 | Cement and Concrete Research2008，，3： | 1 |
| 16 | Single and Mitochondrial Gene Inheritance Disorder Prediction Using Machine Learning显示文摘One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic data.Furthermore,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic markers.This is a challenging process since it must be completed effectively and efficiently.This research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical parameters.Using the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic disorder.To predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be used.To predict genetic disease,deep and machine learning approaches are performed.The most productive tool model provides more precise efficiency.The simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation respectively.This approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives. | Muhammad Umar Nasir Muhammad Adnan Khan Muhammad Zubair Taher MGhazal Raed A.Said Hussam Al Hamadi | 2022 | Computers, Materials & Continua2022，，10： | 1 |
| 17 | Environmental Kuznets Curve for carbon emissions in Pakistan:An empirical investigation显示文摘 | Muhammad Nasir Falz Ur Rehrnsn | | 0，，03： | 1 |
| 18 | 阴离子对氮掺杂石墨烯修饰金属双氢氧化合物结构与赝电容性能的影响(英文)显示文摘超级电容器因为具有充放电时间短的特点引起了人们的广泛关注.然而,由于电极表面的电荷积聚和化学反应,电容器的比电容及能量密度大大降低,限制了超级电容器的实际应用.本文提出了一种新颖的合成方法用以制备基于镍钴双氢氧化物的复合材料,该复合材料作为超级电容器的电极具有优异的电化学性能.利用氮掺杂石墨烯的缺陷,金属氢氧化物纳米结构在氮掺杂石墨烯表面生长,形成复合结构.通过调节并优化镍钴的元素比以及卤素离子、碳酸根离子的含量,能够改善材料的孔隙度、提高材料结构的稳定性以及促进电化学反应.金属氢氧化物的形成由钴离子的氧化反应引导,并通过定向生长方式形成一维结构.氮掺杂石墨烯有效保护镍钴双氢氧化物的纳米结构,使其在电化学测试中不被破坏,同时,氮掺杂石墨烯还能够提高电极的导电性,利于物质及离子传输.电化学测试表明,该复合材料在电流密度为1Ag-1时,比电容高达2925Fg-1,并且在高电流密度下(16Ag-1)展现出了优异的循环稳定性,在10,000次循环后比电容仍然保持在90%.在16Ag-1的电流密度下,材料的能量密度和功率密度分别达到了52Whkg-1和3191Wkg-1.该合成方法为制备基于金属氢氧化物、氧化物、硫化物等高性能超级电容器电极提供了新的途径. | Nasir Mahmood Muhammad Tahir Asif Mahmood 杨文龙 古兴兴 曹传宝 张亚文 侯仰龙 | 2015 | Science China Materials2015，58，2： | 1 |
| 19 | New pro- moter system for the oxidative curing/drying of unsaturated polyes- ter resin based on ascorbic acid Metal complexes of cobalt and cop- per显示文摘 | Nasreen Fatima Muhammad Nasir Durey Nayab Zahra | 2012 | Arabian Journal for Science and engineering2012，37，5： | 1 |
| 20 | Effect of enhanced water allowance on the performance of tile drainage system at Shabaz Ghari pilot project area Swabi SCARP显示文摘 | SERWAR Tahir MUHAMMAD Nasir | 2008 | Sarhad Journal of Agriculture2008，24，1： | 1 |
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