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| 1 | Livestock production and population census in Pakistan:Determining their relationship with agricultural GDP using econometric analysis显示文摘Livestock is a subsector of Pakistan agriculture which contributes approximately 56%of value addition in agriculture and nearly 11%to the gross domestic product(GDP).Livestock production makes a major contribution to agriculture value added services.In order to highlight the actual performance of livestock production and livestock and poultry products,the study explored the relationship between agricultural GDP and livestock product output,including milk,beef,mutton,poultry meat,eggs,wool,hair,skins,hides and bones,in Pakistan over the 35 year period from 1980 to 2015.Time series data were collected from the National Food Security and Research,the Economic Survey of Pakistan and the Pakistan Bureau of Statistics(various publications).Livestock data were analysed using the ordinary least squares(OLS)method and the Augmented Dickey-Fuller(ADF)test,and the results were interpreted using the Johansen co-integration test.Our study found that the output of milk,fat,eggs,bones and mutton has a positive,significant relationship to the agricultural GDP of Pakistan,while the output of beef,poultry meat,wool,hair,skins and hides has a negative,insignificant relationship to the agricultural GDP of Pakistan.Therefore,the study suggests that the government of Pakistan initiates new funding schemes for the development of the livestock sector. | Abdul Rehman Luan Jingdong Abbas Ali Chandio Imran Hussain | 2017 | Information Processing in Agriculture2017，4，2： | 3 |
| 2 | Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes显示文摘Forecasting on success or failure of software has become an interesting and,in fact,an essential task in the software development industry.In order to explore the latest data on successes and failures,this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework?What human factors contribute to success or failure of a software?What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work?In order to conduct this empirical analysis a total of 104 practitioners were recruited to determine how human factors,misinterpretation,and miscommunication of requirements and decision-making processes play their roles in software success forecasting.We discussed a potential relationship between forecasting of software success or failure and the development processes.We noticed that experienced participants had more confidence in their practices and responded to the questionnaire in this empirical study,and they were more likely to rate software success forecasting linking to the development processes.Our analysis also shows that cognitive bias is the central human factor that negatively affects forecasting of software success rate.The results of this empirical study also validated that requirements’misinterpretation and miscommunication were themain causes behind software systems’failure.It has been seen that reliable,relevant,and trustworthy sources of information help in decision-making to predict software systems’success in the software industry.This empirical study highlights a need for other software practitioners to avoid such bias while working on software projects.Future investigation can be performed to identify the other human factors that may impact software systems’success. | Muhammad Hasnain Imran Ghani Seung Ryul Jeong Muhammad Fermi Pasha Sardar Usman Anjum Abbas | 2023 | Computers, Materials & Continua2023，，1： | 1 |
| 3 | Tailoring the optical and magnetic properties of La-BaM hexaferrites by Ni substitution显示文摘We investigate the impact of Ni insertion on the structural,optical,and magnetic properties of Ba_(0.8)La_(0.2)Fe_(12-x)Ni_(x)O_(19)hexaferrites(Ni substituted La-BaM hexaferrites).Samples were prepared using the conventional co-precipitation method and sintered at 1000℃for 4 hours to assist the crystallization process.An analysis of the structure of the samples was carried out using an x-ray diffraction(XRD)spectrometer.The M-type hexagonal structure of all the samples was confirmed using XRD spectra.The lattice parameters a and c were found to be in the ranges of 5.8925±0.001 nm–5.8952±0.001 nm and 23.2123±0.001 nm–23.2219±0.001 nm,respectively.The M-type hexagonal nature of the prepared samples was also indicated by the presence of corresponding FT-IR bands and Raman modes in the FT-IR and Raman spectra,respectively.EDX results confirmed the successful synthesis of the samples according to the required stoichiometric ratio.A UV-vis spectrometer was used to record the absorption spectra of the prepared samples in the wavelength range of 200 nm–1100 nm.The optical energy bandgap of the samples was found to be in the range of 1.21 eV–3.39 eV.The M–H loops of the samples were measured at room temperature at an applied magnetic field range of 0 kOe–60 kOe.A high saturation magnetization of 99.92 emu/g was recorded in the sample with x=0 at a microwave operating frequency of 22.2 GHz.This high value of saturation magnetization is due to the substitution of La3+ions at the spin-up(12k,2a,and 2b)sites.The Ni substitution is proven to be a potential candidate for the tuning of the optical and magnetic parameters of M-type hexaferrites.Therefore,we suggest that the prepared samples are suitable for use in magneto-optic applications. | Hafiz T.Ali MRamzan M Imran Arshad Nicola A.Morley M.Hassan Abbas Mohammad Yusuf Atta Ur Rehman Khalid Mahmood Adnan Ali Nasir Amin MAjaz-un-Nabi | 2022 | Chinese Physics B2022，31，2： | 1 |
| 4 | Determination of Copper and Iron in Biological Samples of Viral Hepatitis (A–E) Female Patients显示文摘 | Hassan Imran Afridi Tasneem Gul Kazi Naveed Gul Kazi Mohammad Khan Jamali Raja Adil Sarfaraz Mohammad Balal Arain Ghulam Abbas Kandhro Abdul Qadir Shah Jamil Ahmed Baig Nusrat Jalbani Rehana Ansari | 2009 | Biological Trace Element Research2009，，1： | 1 |
| 5 | Arsenic fractionation in sediments of different origins using BCR sequential and single extraction methods显示文摘 | Jameel Ahmed Baig Tasneem Gul Kazi Muhammad Balal Arain Abdul Qadir Shah Raja Adil Sarfraz Hassan Imran Afridi Ghulam Abbas Kandhro Muhammad Khan Jamali Sumaira Khan | 2009 | Journal of Hazardous Materials2009，，1： | 1 |
| 6 | Thermal Analysis of MHD Non-Newtonian Nanofluids over a Porous Media显示文摘In the present research,Tiwari and Das model are used for the impact of a magnetic field on non-Newtonian nanofluid flow in the presence of injection and suction.The PDEs are converted into ordinary differential equations(ODEs)using the similarity method.The obtained ordinary differential equations are solved numerically using shooting method along with RK-4.Part of the present study uses nanoparticles(NPs)like TiO_(2) andAl_(2)O_(3) and sodium carboxymethyl cellulose(CMC/water)is considered as a base fluid(BF).This study is conducted to find the influence of nanoparticles,Prandtl number,and magnetic field on velocity and temperature profile,however,the Nusselt number and coefficient of skin friction parameters are also presented in detail with the variation of nanoparticles and parameters.The obtained results of the present study are presented usingMATLAB.In addition to these,some simulations of partial differential equations are also shown using software for graphing surface plots of velocity profile and streamlines along with surface plots and isothermal contours of the temperature profile. | Asad Ejaz Imran Abbas Yasir Nawaz Muhammad Shoaib Arif Wasfi Shatanawi Javeria Nawaz Abbasi | 2020 | Computer Modeling in Engineering & Sciences2020，，12： | 1 |
| 7 | 重结晶碳化硅表面MoSi_2-Si_3N_4抗氧化涂层的制备和性能显示文摘用浆料涂敷法在孔隙率较高的重结晶碳化硅电热元件表面制备MoSi_2-Si_3N_4抗氧化涂层,分析了氧化前后涂层的形貌和物相组成,研究了涂层的抗氧化性。结果表明,用该法制备的涂层表面平整,结构致密。浆料在形成涂层的同时填充了大尺寸的开气孔,提高了基体的致密性,因此提高了基体的抗氧化性能。将试样在1500℃氧化性气氛中氧化100 h后,无涂层试样的电阻率增大了84.6%,而MoSi_2-Si_3N_4涂层试样的电阻率只增大10.2%。涂层处理后的电热元件,其抗氧化性显著提高。MoSi_2-Si_3N_4复合涂层的抗氧化性能,明显优于单一的MoSi_2涂层。 | 牛芳旭 王延相 刘群 Imran Abbas 王成国 | 2017 | 材料研究学报2017，31，5： | 1 |
| 8 | Furazolidone, Co-amoxiclav, Colloidal Bismuth Subcitrate, and Esomeprazole for Patients Who Failed to Eradicate Helicobacter pylori with Triple Therapy显示文摘 | Zaigham Abbas Javed Yakoob Shahab Abid Wasim Jafri Muhammad Islam Zahid Azam Imran Hilal | 2009 | Digestive Diseases and Sciences2009，，9： | 1 |
| 9 | Elevated blood lead levels and cytogenetic markers in buccal epithelial cells of painters in India显示文摘 | Mohd Imran Khan Iqbal Ahmad Abbas Ali Mahdi Mohd Javed Akhtar Najmul Islam Mohd Ashquin Thuppil Venkatesh | 2010 | Environmental Science and Pollution Research2010，，7： | 1 |
| 10 | Inexpensive synthesis of a high-performance Fe3O4-SiO2-TiO2 photocatalyst: Magnetic recovery and reuse显示文摘一种大音阶的第五音胶化技术为 magnetite-silica-titania 的合成被开发了(Fe 3 O 4-SiO2-TiO2) 有改进 photocatalytic 性质的第三级的 nanocomposite 基于便宜 titania 和硅石先锋的使用。产生材料的非凡的 photocatalytic 活动被使用他们到 photocatalyze 表明甲又蓝色的降级答案。最好的明确的表达完成了 98% 甲又蓝色降级。现在的工作的一个有趣的特征是有磁力地分开并且再使用催化剂的能力。催化剂的效率在二复用期间仍然保持高。综合 nanomaterials 被 X 光检查衍射(XRD ) 描绘,扫描电子显微镜学(SEM ) ,传播电子显微镜学(TEM ) , Fourier 变换红外线(FTIR ) 光谱学, ultra-violet-visible 光谱学,弥漫的反射光谱学,和 thermogravimetric 分析。XRD 分析揭示了立方的磁铁矿和锐钛矿 titania 晶体的 multicrystalline 系统的形成。SEM 和 TEM 描述揭示了尺寸的开发得好、 homo-geneously 分散的粒子不到 15 nm。FTIR 系列证实了 titania 和硅石的化学相互作用。准备材料的光性质依赖于他们的成分金属氧化物的相对内容,这进一步被注意。 | Nadir Abbas Godlisten N. Shao Syed M. Imran Muhammad S. Haider Hee Taik Kim | 2016 | Frontiers of Chemical Science and Engineering2016，10，3： | 1 |
| 11 | Evaluation of iodine, iron, and selenium in biological samples of thyroid mother and their newly born babies显示文摘 | Tasneem Gul Kazi Ghulam Abbas Kandhro Sirajuddin Hassan Imran Afridi Jameel Ahmed Baig Abdul Qadir Shah Sham Kumar Wadhwa Sumaira Khan Nida Fatima Kolachi Hafeez-ur-Rahman Shaikh | 2010 | Early Human Development2010，，10： | 1 |
| 12 | A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction显示文摘The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various systems.Such as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects worldwide.Traffic congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the road.To address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy approach.The aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the city.The proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the road.After due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy engine.Consequently,it possesses a high level of accuracy by means of intelligent decision making with minimum error rate.Simulation results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,respectively.As far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment. | Mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal Mohammed Salih Ahmed Mohammed Imran BAhmed Dakheel Almoqbil Majd Nabeel Abdullah Omer | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 13 | Economic outlook of rice crops in Pakistan:a time series analysis (1970-2015)显示文摘Background:The basic objective of this study was to examine the relationship between the rice output,its production area,water availability,and agricultural gross domestic product(GDP)of Pakistan.Annual time series data for 1970–2015 were collected from the National Food Security and Research,Economic Survey of Pakistan,and Pakistan Bureau of Statistics(various publications).Methods:Rice crop data were analyzed using the ordinary least square method and the augmented Dickey–Fuller test.Were interpreted using the Johansen cointegration test.Results:Our study revealed the existence of a long-standing relationship between rice output,its production area,and water availability with the agricultural GDP of Pakistan.Regression results indicate that rice output and cultivated area have a significant and positive relationship with agricultural GDP,while water availability has a negative relationship.Conclusions:The study suggests that the government of Pakistan should design new policies and funding schemes for developing and improving water availability. | Abdul Rehman Luan Jingdong Abbas Ali Chandio Muhammad Shabbir Imran Hussain | 2017 | Financial Innovation2017，3，1： | 0 |
| 14 | 5G Antenna Gain Enhancement Using a Novel Metasurface显示文摘This article presents a Sub-6 GHz microstrip patch antenna(MPA)with enhanced gain using metamaterial(MTM)superstrate.The source MPA operates at 4.8 GHz and has a peak gain of 5.3 dBi at the resonance frequency.A window-shaped unit cell is designed and investigated through the material wave propagation technique.The unit cell shows an EpsilonNear Zero(ENZ)-Mu Very Large(MVL)behavior around 4.8 GHz.The unit cell has a fourfold geometry which makes it a polarization independent metamaterial.A double layer antenna is designed by placing a 4×4 MTM slab as a superstrate above the MPA at a height of 0.208λ0;whereλ0 is the free-space wavelength at the resonance frequency of the antenna.Impedance matching and gain of the source antenna is improved using the metamaterial.The simulation as well as measurement results show that novel antenna system has a peak gain of 7.68 dBi at 4.8 GHz and an impedance bandwidth of 0.22 GHz.The overall dimension of the antenna is 75×60×15 mm^(3).The proposed antenna operates in the Sub-6 GHz band and is suitable for 5G applications. | Mubashir Ashfaq Shahid Bashir Syed Imran Hussain Shah Nisar Ahmad Abbasi Hatem Rmili Muhammad Abbas Khan | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 15 | A Rule Based System for Speech Language Context Understanding显示文摘Speech or Natural language contents are major tools of communication. This research paper presents a natural language processing based automated system for understanding speech language text. A new rule based model has been presented for analyzing the natural languages and extracting the relative meanings from the given text. User writes the natural language text in simple English in a few paragraphs and the designed system has a sound ability of analyzing the given script by the user. After composite analysis and extraction of associated information, the designed system gives particular meanings to an assortment of speech language text on the basis of its context. The designed system uses standard speech language rules that are clearly defined for all speech languages as English, Urdu, Chinese, Arabic, French, etc. The designed system provides a quick and reliable way to comprehend speech language context and generate respective meanings. | Imran Sarwar Bajwa Muhammad Abbas Choudhary | 2006 | Journal of Donghua University(English Edition)2006，23，6： | 0 |
| 16 | Numerical Study for Magnetohydrodynamic(MHD)Unsteady Maxwell Nanofluid Flow Impinging on Heated Stretching Sheet显示文摘The numerous applications of Maxwell Nanofluid Stagnation Point Flow,such as those in production industries,the processing of polymers,compression,power generation,lubrication systems,food manufacturing and air conditioning,among other applications,require further research into the effects of various parameters on flow phenomena.In this paper,a study has been carried out for the heat andmass transfer of Maxwell nanofluid flow over the heated stretching sheet.A mathematical model with constitutive expressions is constructed in partial differential equations(PDEs)through obligatory basic conservation laws.A series of transformations are then used to take the system into an ordinary differential equation(ODE).The boundary conditions(BCs)are also treated similarly for transforming into first-order ordinary differential equations(ODEs).Then these ODEs are computed by using the Shooting Method.The effect of factors on the skin friction coefficient,the local Nusselt number,and the local Sherwood number are explored,and the results are displayed graphically.The obtained results demonstrate that by increasing the values of the Maxwell and slip velocity parameters,velocity deescalates.For investigators tasked with addressing unresolved difficulties in the realm of enclosures used in industry and engineering,we thought this work would serve as a guide. | Muhammad Shoaib Arif Muhammad Jhangir Yasir Nawaz Imran Abbas Kamaleldin Abodayeh Asad Ejaz | 2022 | Computer Modeling in Engineering & Sciences2022，，11： | 0 |
| 17 | A Hybrid Deep Learning Approach to Classify the Plant Leaf Species显示文摘Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them reliably.Unknown plant species can be challenging to classify and segment using deep learning.While using deep learning architectures has helped improve classification accuracy,the resulting models often need to be more flexible and require a large dataset to train.For the sake of taxonomy,this research proposes a hybrid method for categorizing guava,potato,and java plumleaves.Two new approaches are used to formthe hybridmodel suggested here.The guava,potato,and java plum plant species have been successfully segmented using the first model built on the MobileNetV2-UNET architecture.As a second model,we use a Plant Species Detection Stacking Ensemble Deep Learning Model(PSD-SE-DLM)to identify potatoes,java plums,and guava.The proposed models were trained using data collected in Punjab,Pakistan,consisting of images of healthy and sick leaves from guava,java plum,and potatoes.These datasets are known as PLSD and PLSSD.Accuracy levels of 99.84%and 96.38%were achieved for the suggested PSD-SE-DLM and MobileNetV2-UNET models,respectively. | Javed Rashid Imran Khan Irshad Ahmed Abbasi Muhammad Rizwan Saeed Mubbashar Saddique Mohamed Abbas | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 18 | A comparison of financial and operational efficiency between smart and traditional insufflation for laparoscopic surgery: A granular analysis显示文摘Objective:Smart insufflation(SI)techniques relying on valve and membrane-free insufflation are increasing in usage.Although considerable literature exists demonstrating the benefits of SI on procedural ease and patient outcomes,there remains a paucity describing the financial impact of these devices.The purpose of this study was to determine the financial and efficiency impact of these devices on the operating room and inpatient wards of a hospital.Methods:A discrete event simulation model representing a typical mid-sized North American hospital comparing SI to traditional insufflation(TI)was generated.The National Surgical Quality Improvement database from 2015 to 2019 was used to populate the model with data supplemented from the literature.Outcomes included length of stay(LOS),duration of surgery(DOS),annual procedure volume,profit,return on investment(ROI),and gross profit margin(GPM).From the literature review,DOS savings were 10e32 minutes/case,while LOS savings were 0e3 days/case.Results:Implementation of an SI led to an increase in annual throughput of 42e346(4.4%e36.6%)cases for all procedures and 38 to 297(4.3%e33.3%)cases for complex procedures.LOS was found to be decreased by 175e614(18.3%e64.2%)days for all procedures and 231 to 614(35.6%e77.9%)cases for complex procedures with the implementation of an SI.Together,this resulted in an increase in net profit of$104,685 per annum.The ROI of SI over the TI device was>1000%,and the GPM for the TI was 90.0%,while the GPM for the SI was 71.7%.Conclusion:Despite the initial financial investment being greater,the implementation of SI offsets these expenses and yields significant financial benefits.Our study demonstrates the financial benefits of SI over TI and illustrates how granular operational and financial analyses of technologies are essential to aid in sound healthcare procurement decision making. | Aazad Abbas Imran Saleh Graeme Hoit Gurjovan Sahi Sam Park Jihad Abouali Cari Whyne Jay Toor | 2023 | Laparoscopic, Endoscopic and Robotic Surgery2023，6，3： | 0 |
| 19 | Hybrid Evolutionary Algorithm Based Relevance Feedback Approach for Image Retrieval显示文摘Searching images fromthe large image databases is one of the potential research areas of multimedia research.The most challenging task for nay CBIR system is to capture the high level semantic of user.The researchers of multimedia domain are trying to fix this issue with the help of Relevance Feedback(RF).However existing RF based approaches needs a number of iteration to fulfill user’s requirements.This paper proposed a novel methodology to achieve better results in early iteration to reduce the user interaction with the system.In previous research work it is reported that SVM based RF approach generating better results for CBIR.Therefore,this paper focused on SVM based RF approach.To enhance the performance of SVM based RF approach this research work applied Particle Swarm Optimization(PSO)and Genetic Algorithm(GA)before applying SVM on user feedback.The main objective of using thesemeta-heuristic was to increase the positive image sample size from SVM.Firstly steps PSO is applied by incorporating the user feedback and secondly GA is applied on the result generated through PSO,finally SVM is applied using the positive sample generated through GA.The proposed technique is named as Particle Swarm Optimization Genetic Algorithm-Support Vector Machine Relevance Feedback(PSO-G A-SVMRF).Precisions,recall and F-score are used as performance metrics for the assessment and validation of PSO-GA-SVM-RF approach and experiments are conducted on coral image dataset having 10908 images.From experimental results it is proved that PSO-GA-SVM-RF approach outperformed then various well known CBIR approaches. | Awais Mahmood Muhammad Imran Aun Irtaza Qammar Abbas Habib Dhahri Esam Mohammed Asem Othman Arif Jamal Malik Aaqif Afzaal Abbasi | 2022 | Computers, Materials & Continua2022，，1： | 0 |
| 20 | Effect of Measurement Error on the Multivariate CUSUM Control Chart for Compositional Data显示文摘Control charts(CCs)are one of the main tools in Statistical Process Control that have been widely adopted in manufacturing sectors as an effective strategy for malfunction detection throughout the previous decades.Measurement errors(M.E’s)are involved in the quality characteristic of interest,which can effect the CC’s performance.The authors explored the impact of a linearmodel with additive covariate M.E on the multivariate cumulative sum(CUSUM)CC for a specific kind of data known as compositional data(CoDa).The average run length(ARL)is used to assess the performance of the proposed chart.The results indicate that M.E’s significantly affects themultivariate CUSUM-CoDaCCs.The authors haveused theMarkov chainmethod to study the impact of different involved parameters using six different cases for the variance-covariance matrix(VCM)(i.e.,uncorrelated with equal variances,uncorrelated with unequal variances,positively correlated with equal variances,positively correlated with unequal variances,negatively correlatedwith equal variances and negatively correlated with unequal variances).The authors concluded that the error VCM has a negative impact on the performance of themultivariate CUSUM-CoDa CC,as the ARL increases with an increase in the value of the error VCM.The subgroup size m and powering operator b positively impact the proposed CC,as the ARL decreases with an increase in m or b.The number of variables p also has a negative impact on the performance of the proposed CC,as the values of ARL increase with an increase in p.For the implementation of the proposal,two illustrated examples have been reported formultivariate CUSUM-CoDaCCs inthe presence ofM.E’s.Onedealswith themanufacturingprocessof uncoated aspirin tablets,and the other is based on monitoring the machines involved in the muesli manufacturing process. | Muhammad Imran Jinsheng Sun Fatima Sehar Zaidi Zameer Abbas Hafiz Zafar Nazir | 2023 | Computer Modeling in Engineering & Sciences2023，，8： | 0 |
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