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| 1 | 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 |
| 2 | Prevalence of HBV infection in suspected population of conflict-affected area of war against terrorism in North Waziristan FATA Pakistan显示文摘 | Amjad Ali Muhammad Nisar Muhammad Idrees Habib Ahmad Abrar Hussain Shazia Rafique Sabeen Sabri Habib ur Rehman Liaqat Ali Shariatullah Wazir Tariq Khan | 2012 | Infection, Genetics and Evolution2012，，8： | 1 |
| 3 | Performance of GARCH Models in Forecasting Stock Market Volatility显示文摘 | Choo Wei Chong Muhammad Idrees Ahmad Mat Yusoff Abdullah | 1999 | Journal of Forecasting1999，18，： | 1 |
| 4 | Performance of GARCH Models in Forecasting Stock Market Volatility显示文摘 | Choo Wei Chong Muhammad Idrees Ahmad and Mat Yusoff Abdullah | 1999 | Journal of Forecasting1999，18，： | 1 |
| 5 | Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System显示文摘Disease diagnosis is a challenging task due to a large number of associated factors.Uncertainty in the diagnosis process arises frominaccuracy in patient attributes,missing data,and limitation in the medical expert’s ability to define cause and effect relationships when there are multiple interrelated variables.This paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things(IoT)empowered by the fuzzy inference system(FIS)to diagnose various diseases.The Fuzzy Systemis one of the best systems to diagnose medical conditions because every disease diagnosis involves many uncertainties,and fuzzy logic is the best way to handle uncertainties.Our proposed system differentiates new cases provided symptoms of the disease.Generally,it becomes a time-sensitive task to discriminate symptomatic diseases.The proposed system can track symptoms firmly to diagnose diseases through IoT and FIS smartly and efficiently.Different coefficients have been employed to predict and compute the identified disease’s severity for each sign of disease.This study aims to differentiate and diagnose COVID-19,Typhoid,Malaria,and Pneumonia.This study used the FIS method to figure out the disease over the use of given data related to correlating with input symptoms.MATLAB tool is utilised for the implementation of FIS.Fuzzy procedure on the aforementioned given data presents that affectionate disease can derive from the symptoms.The results of our proposed method proved that FIS could be utilised for the diagnosis of other diseases.This study may assist doctors,patients,medical practitioners,and other healthcare professionals in early diagnosis and better treat diseases. | Talha Mahboob Alam Kamran Shaukat Adel Khelifi Wasim Ahmad Khan Hafiz Muhammad Ehtisham Raza Muhammad Idrees Suhuai Luo Ibrahim A.Hameed | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 6 | Advances and challenges of methanol-tolerant oxygen reduction reaction electrocatalysts for the direct methanol fuel cell显示文摘Methanol cross-over effects from the anode to the cathode are important parameters for reducing catalytic performance in direct methanol fuel cells.A promising candidate catalyst for the cathode in direct methanol fuel cells must have excellent activity toward oxygen reduction reaction and resistance to methanol oxidation reaction.This review focuses on the methanol tolerant noble metal-based electrocatalysts,including platinum and palladium-based alloys,noble metal–carbon based composites,transition metal-based catalysts,carbon-based metal catalysts,and metal-free catalysts.The understanding of the correlation between the activity and the synthesis method,electrolyte environment and stability issues are highlighted.For the transition metal-based catalyst,their activity,stability and methanol tolerance in direct methanol fuel cells and comparisons with those of platinum are particularly discussed.Finally,strategies to enhance the methanol tolerance and hinder the generation of mixed potential in direct methanol fuel cells are also presented.This review provides a perspective for future developments for the scientist in selecting suitable methanol tolerate catalyst for oxygen reduction reaction and designing high-performance practical direct methanol fuel cells. | Muhammad Aizaz Ud Din Muhammad Idrees Sidra Jamil Syed Irfan Ghazanfar Nazir Muhammad Ahmad Mudassir Muhammad Shahrukh Saleem Saima Batool Nanpu Cheng Rahman Saidur | 2023 | Journal of Energy Chemistry2023，，2： | 0 |
| 7 | Fitting extreme value type I distribution to financial returns显示文摘 | Muhammad Idrees Ahmad Abdulrahim Al-Bahri Ismail Al-Ismaili | 2009 | 材料科学与工程(中英文版)2009，3，10： | 0 |
| 8 | Impact of Rayleigh backscattering on single/dual feeder fiber WDM-PON architectures based on array waveguide gratings显示文摘The performance of colorless wavelength- division multiplexing passive optical network (WDM- PON) systems suffers from transmission impairments due to Rayleigh backscattering (RB). A single feeder fiber colorless WDM-PON architecture was modeled, simulated and analyzed at 25 km distance that sustained the noise induced by RB. We analytically compared the performances between single feeder and dual feeder WDM-PON architectures based on array waveguide gratings (AWGs). For single feeder WDM-PON, the high extinction ratios in both return-to-zeros (RZ)-shaped differential phase shift keying (DPSK) downstream and intensity remodulated upstream data signals helped to increase the tolerance to the noise induced by RB. However, a cost effective colorless system in dual feeder WDM-PON architecture was achieved without any optical amplification and dispersion compensation, low power penalty. These results illustrate that single feeder fiber architecture was cost effective in terms of deployment having a power penalty, while dual feeder fiber had lower power penalty thereby with better performance. Simulation results show that downstream and upstream signals achieved error-free performance at 10-Gbps with negligible penalty and enhanced tolerance to the noise induced by RB over 25 km single mode fiber. | Muhammad Idrees AFRIDI Jie ZHANG Yousaf KHAN Jiawei HAN Aftab HUSSEIN Shahab AHMAD | 2013 | Frontiers of Optoelectronics2013，6，1： | 0 |
| 9 | 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 |
| 10 | Prediction of Time Series Empowered with a Novel SREKRLS Algorithm显示文摘For the unforced dynamical non-linear state–space model,a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is developed in this article.The proposed algorithm lends itself towards the parallel implementation as in the FPGA systems.With the help of an ortho-normal triangularization method,which relies on numerically stable givens rotation,matrix inversion causes a computational burden,is reduced.Matrix computation possesses many excellent numerical properties such as singularity,symmetry,skew symmetry,and triangularity is achieved by using this algorithm.The proposed method is validated for the prediction of stationary and non-stationary Mackey–Glass Time Series,along with that a component in the x-direction of the Lorenz Times Series is also predicted to illustrate its usefulness.By the learning curves regarding mean square error(MSE)are witnessed for demonstration with prediction performance of the proposed algorithm from where it’s concluded that the proposed algorithm performs better than EKRLS.This new SREKRLS based design positively offers an innovative era towards non-linear systolic arrays,which is efficient in developing very-large-scale integration(VLSI)applications with non-linear input data.Multiple experiments are carried out to validate the reliability,effectiveness,and applicability of the proposed algorithm and with different noise levels compared to the Extended kernel recursive least-squares(EKRLS)algorithm. | Bilal Shoaib Yasir Javed Muhammad Adnan Khan Fahad Ahmad Rizwan Majeed Muhammad Saqib Nawaz Muhammad Adeel Ashraf Abid Iqbal Muhammad Idrees | 2021 | Computers, Materials & Continua2021，，5： | 0 |
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