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Chinese Physics B 2016年第11期25卷 486-491页

作者： muhammad Raza ur rehman Hashmi muhammad Zafar M Shakil Atif Sattar Shabbir Ahmed S A Ahmad Simulation Laboratory Department of Physics The Islamia University of Bahawalpur 63100 Pakistan Department of Physics Hafiz Hayat Campus University of Gujrat Gujrat Pakistan

First-principles calculations by means of the full-potential linearized augmented plane wave method using the generalized gradient approximation with correlation effect correction（GGA＋U） within the framework of spin polarized density functional theory（DFT＋U） are used to study the structural,electronic,and magnetic properties of cubic perovskite compounds RbXF3（X = Mn,V,Co,and Fe）.It is found that the calculated structural parameters,i.e.,lattice constant,bulk modulus,and its pressure derivative are in good agreement with the previous *** results reveal that the strong spin polarization of the 3d states of the X atoms is the origin of ferromagnetism in *** energies and the magnetic moments of RbXF3 have also been *** calculated electronic properties show the half-metallic nature of RbCoF3 and RbFeF3,making these materials suitable for spintronic applications.

关键词： cubic metallic perovskite modulus correction linearized ferromagnetic augmented instance spheres

Development of bis-thiobarbiturates as successful urease inhibitors and their molecular modeling studies

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Chinese Chemical Letters 2016年第5期27卷 693-697页

作者： Fazal Rahim muhammad Ali Shifa Ullah Umer Rashid Hayat Ullah muhammad Taha muhammad tariq Javed Wajid rehman Aftab Ahmad Khan Obaid ur Rahman Abid muhammad Bilal Department of Chemistry Hazara University Department of Chemistry COMSATS Institute of Information Technology Department of Biochemistry and Biotechnology The Islamia University of Bahawalpur Atta-ur-Rahman Institute for Natural Product Discovery Universiti Teknologi MARA (UiTM)Puncak Alam Campus Faculty of Applied Science UiTM Department of Environmental Science COMSATS Institute of Information Technology

Bis-thiobarbiturate derivatives 1-15 have been synthesized, characterized by 1HNMR and El-MS and screened for urease inhibition. All compounds showed various degree of urease inhibitory activity with iC50 values ranging 7.45 ± 0.12 - 74.24 ± 0.81 μmol/L while the standard thiourea behaved normally （ICso = 21.10 ±0.12）. Compounds I （IC50= 7.45 ± 0.12 ]μmol/L）, 9 （IC50 =18,17 ± 1.03 bmol/L） and 13 （IC50= 8.61 ± 0.45 bmol/L） showed excellent urease inhibitory activity in the series. Molecular modeling studies were performed to understand the binding site with the bimetallic nickel center of the enzyme. Structure-activity relationship has also been established for these compounds. This study identified bis- thiobarbiturate as a novel class of urease inhibitors.

关键词： Thiobarbituric acid Synthesis urease inhibition Molecular docking studies

The effects of selenium on the translation efficiency of selenoproteins Gpx1， Gpx4， and Txnrd1 in oxLDL-induced ***926 cells

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Food Science and Human Wellness 2024年

作者： Jiaqi Lu Jing Meng Yanzhi Lang Abdul rehman Yamei Yan Linwu Ran School of Public Health， Ningxia Medical University Key Laboratory of Environmental Factors and Chronic Disease Control Yinchuan School of Clinical Medicine， Ningxia Medical University Goji Berry Research Institute， Ningxia Academy of Agriculture and Forestry Sciences

Selenium is a crucial trace element that contributes to physiological processes in the body as selenoproteins. Selenoproteins serve as an integral role in the body in controlling the redox state of cells and protecting against damage induced by oxidative stress. This study aimed to investigate the effects and possible mechanism of selenium on selenoproteins expression in ***926 cells induced by oxLDL. The impact of selenium on the viability of ***926 cells was detected by the MTT method， and intracellular ROS level and mitochondrial membrane potential were assessed by fluorescent probe DCFH-DA and JC-1， respectively. RNA-seq， quantitative real-time PCR (RT-qPCR)， and western blot were used to investigate the selenoprotein expression. Selenoprotein mRNA translation efficiency was analyzed by ribosome profiling (Ribo-Seq) coupled with transcriptomics. Our data showed that selenium supplementation (0.5 μmol/L) significantly decreased ROS production， reduced mitochondrial inner membrane potential and increased the proliferative activity of ***926 cells induced by oxLDL. Moreover， The protective effects of selenium against oxLDL-induced ***926 cell injury were associated with the upregulation of the expressions of selenoproteins GPX1， GPX4， and TXNRD1. Furthermore， the expressions of selenoproteins GPX1 and GPX4 were hierarchically controlled， but the expressions of selenoproteins TXNRD1 were mainly regulated by oxLDL. Finally， Ribo-Seq coupled with transcriptomics results demonstrated that the expressions of selenoproteins GPX1， GPX4， and TXNRD1 were regulated at the translation process level. These findings suggested that selenium could have preventive effects in oxLDL induced ***926 cell injury by regulating the selenoprotein expression， and the selenoproteins expressions at the translation level in vascular endothelial cells need further study.

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Influence of Seed Priming on Performance and Water Productivity of Direct Seeded Rice in Alternating Wetting and Drying

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Rice science 2015年第4期22卷 189-196页

作者： Hafeez ur rehman muhammad KAMRAN Shahzad Maqsood Ahmed BASRA Irfan AFZAL muhammad FAROOQ Department of Agronomy University of AgricultureFaisalabad Institute of Agriculture University of Western Australia College of Food and Agricultural Sciences King Saud University

Direct seeded rice is promising alternative to traditional transplanting, but requires appropriate crop and water management to maintain yield performance and achieve high water productivity. Present study evaluated the effect of seed priming and irrigation on crop establishment, tillering, agronomic traits, paddy yield, grain quality and water productivity of direct seeded rice in alternate wetting and drying （DSR-AWD） in comparison with direct seeded rice at field capacity （DSR- FC）. Seed priming treatments were osmo-priming with KCI （2.2%）, CaCI2 （2.2%） and moringa leaf extracts （MLE, 3.3%） including hydro-priming as control. Among the treatments, seed osmo-primed with MLE emerged earlier and had higher final emergence, followed by osmo-priming with CaCI2. Tillering emergence rate and number of tillers per plant were the highest for seed priming with CaCI2 in DSR- AWD. Total productive and non-productive tillers, panicle length, biological and grain yields, harvest index were highest for seed priming with MLE or CaCI2 in DSR-AWD. Similarly, grain quality, estimated in terms of normal grains, abortive and chalky grains, was also the highest in DSR-AWD with MLE osmo-priming. Benefit cost ratio and water productivity was also the highest in DSR-AWD for seed priming with MLE. In conclusion, seed priming with MLE or CaCI2 can be successfully employed to improve the direct seeded rice performance when practiced with alternate wetting and drying irrigation.

关键词： crop establishment grain filling rate seed priming water productivity yield direct seededrice alternating wetting and drying grain quality

Authentication of Vehicles and Road Side Units in Intelligent Transportation System

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Computers, Materials & Continua 2020年第7期64卷 359-371页

作者： muhammad Waqas Shanshan Tu Sadaqat ur rehman Zahid Halim Sajid Anwar Ghulam Abbas Ziaul Haq Abbas Obaid ur rehman Beijing Key Laboratory of Trusted Computing Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Faculty of Computer Science&Engineering Ghulam Ishaq Khan Institute of Engineering Sciences&TechnologyTopi23460Pakistan Beijing Electro-Meahnical Engineering Institute Beijing100074China Faculty of Electrical Engineering Ghulam Ishaq Khan Institute of Engineering Sciences&TechnologyTopi23460Pakistan Department of Electrical Engineering Sarhad University of Science and Information TechnologyPeshawar25000Pakistan

Security threats to smart and autonomous vehicles cause potential consequences such as traffic accidents,economically damaging traffic jams,hijacking,motivating to wrong routes,and financial losses for businesses and *** and autonomous vehicles are connected wirelessly,which are more attracted for attackers due to the open nature of wireless *** of the problems is the rogue attack,in which the attacker pretends to be a legitimate user or access point by utilizing fake *** figure out the problem of a rogue attack,we propose a reinforcement learning algorithm to identify rogue nodes by exploiting the channel state information of the communication *** consider the communication link between vehicle-to-vehicle,and *** evaluate the performance of our proposed technique by measuring the rogue attack probability,false alarm rate(FAR),mis-detection rate(MDR),and utility function of a receiver based on the test threshold values of reinforcement learning *** results show that the FAR and MDR are decreased significantly by selecting an appropriate threshold value in order to improve the receiver’s utility.

关键词： Intelligent transportation system authentication rogue attack

Malware Detection in Android IoT Systems Using Deep Learning

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Computers, Materials & Continua 2023年第2期74卷 4399-4415页

作者： muhammad Waqar Sabeeh Fareed Ajung Kim Saif ur rehman Malik muhammad Imran muhammad Usman Yaseen Department of Computer Science COMSATS UniversityIslamabad45550Pakistan Department of Optical Engineering Sejong UniversitySeoul143747Korea Cybernetica AS Tallinn12618Estonia

The Android Operating System(AOS)has been evolving since its inception and it has become one of the most widely used operating system for the Internet of Things(IoT).Due to the high popularity and reliability ofAOS for IoT,it is a target of many cyber-attacks which can cause compromise of privacy,financial loss,data integrity,unauthorized access,denial of services and so *** Android-based IoT(AIoT)devices are extremely vulnerable to various malwares due to the open nature and high acceptance of Android in the ***,several detection preventive malwares are developed to conceal their malicious activities from analysis ***,conventional malware detection techniques could not be applied and innovative countermeasures against such anti-detection malwares are indispensable to secure the *** this paper,we proposed the novel deep learning-based real-time multiclass malware detection techniques for the AIoT using dynamic *** results show that the proposed technique outperforms existing malware detection techniques and achieves detection accuracy up to 99.87%.

关键词： Android cyber security deep learning internet of things malware detection

Dynamical Analysis of Radiation and Heat Transfer on MHD Second Grade Fluid

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Computer Modeling in Engineering & Sciences 2021年第11期129卷 689-703页

作者： Aziz-ur-rehman muhammad Bilal Riaz Syed Tauseef Saeed Shaowen Yao Department of Mathematics University of Management and TechnologyLahore54770Pakistan Institute for Groundwater Studies(IGS) University of the Free StateBloemfontein9301South Africa Department of Science&Humanities National University of Computer and Emerging SciencesLahore54000Pakistan School of Mathematics and Information Science Henan Polytechnic UniversityJiaozuo454000China

Convective flow is a self-sustained flow with the effect of the temperature *** density is non-uniform due to the variation of *** effect of the magnetic flux plays a major role in convective *** process of heat transfer is accompanied by a mass transfer process;for instance,condensation,evaporation,and chemical *** to the applications of the heat and mass transfer combined effects in a different field,the main aim of this paper is to do a comprehensive analysis of heat and mass transfer of MHD unsteady second-grade fluid in the presence of ramped boundary conditions near a porous *** dynamical analysis of heat transfer is based on classical differentiation with no memory *** non-dimensional form of the governing equations of the model is *** are solved by the classical integral(Laplace)transform technique/method with the convolution theorem and closed-form solutions are attained for temperature,concentration,and *** physical aspects of distinct parameters are discussed via graph to see the influence on the fluid concentration,velocity,and *** results suggest that the velocity profile decrease by increasing the Prandtl *** existence of a Prandtl number may reflect the control of the thickness of momentum and enlargement of thermal ***,to validate our results,some results are recovered from the literature.

关键词： Heat transfer magnetic effect ramped conditions porous medium Laplace transform thermal radiation

Investigation of functional,physical,mechanical and thermal properties of TiO2 embedded polyester hybrid composites:A design of experiment(DoE)study

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Progress in Natural Science:Materials International 2018年第3期28卷 266-274页

作者： muhammad Azeem Munawar Dirk Wolfram Schubert Shahzad Maqsood Khan muhammad atiq ur rehman Nafisa Gulld Atif Islam Aneela Sabir muhammad Shafiq Bilal Haider Mudassar Azam Saba urooge Khan Monika M.Voigt Institute of Polymer Materials Friedrich-Alexander-University Department of Polymer Engineering and Technology University of the Punjab Bavarian Polymer Institute Institute of Biomaterials Friedrich-Alexander-University Institute of Chemical Engineering and Technology University of the Punjab

This paper presents a study on the Design of Experiments(Do E) approach to optimize the fabrication parameters of titania(TiO2) embedded glass fiber reinforced polyester hybrid composites(HCs). HCs of unsaturated polyester resin(UPR) were fabricated using methyl ethyl ketone peroxide(MEKP) as the curing agent by hand lay-up process(HLUP) and compression molding technique(CMT). The fabrication parameters were optimized by Taguchi Do E(an orthogonal array of L25) using 3 control factors(concentration of TiO2, concentration of MEKP and curing temperature) having 5 levels each. Statistical tools were employed to identify significant factors affecting tensile strengths and its reproducibility during HLUP. It was found that the concentration of TiO2in HCs significantly influenced the tensile strength(TS) followed by MEKP concentration and curing temperature. The highest value of TS was obtained at 3 wt% TiO2, 2 wt% MEKP and 80 °C. Nevertheless, the sensitivity of TiO2concentration was basis for fabrication of polyester titania glass fiber hybrids(PTGFHs), which were further investigated for density and void fractions, linear shrinkage, flexural strength, impact strength, hardness and thermal behaviors. Moreover, cross-linking and hydrogen-bonding between polymeric chains, styrene, silica content of glass fiber and TiO2particles in PTGFHs were confirmed by Fourier transform infrared spectroscopy.

关键词： Hybrid composites Polyester Design of experiment Titania

Impact of Tillage and Herbicides on Weed Density, Yield and Quality of Cotton in Wheat Based Cropping System

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Journal of Integrative Agriculture 2013年第9期12卷 1568-1579页

作者： Khalid Usman Niamatullah Khan muhammad Umar Khan Aziz ur rehman Said Ghulam Department of Agronomy Faculty of AgricultureGomal University Department of Agriculture Chemistry Faculty of AgricultureGomal University Department of Soil & Environmental Sciences Faculty of AgricultureGomal University

Conservation tillage may improve yield of cotton in addition to improvement in soil quality if practiced for longer period. However, the practice may not be productive in short-term particularly when severe weeds are infesting the crops such as Cynodon dactylon, Conyza canadensis, Tribulus terrestris, and Cyperus rotundus, etc. Recent studies indicate that conventional tillage （CT） is more productive than zero tillage （ZT）/reduced tillage （RT）. Performance of cotton under three tillage systems, viz., ZT, RT and CT; and five herbicides, i.e., haloxyfop-R-methyl 10.8 EC （108 g a.i. ha^-1）, lactofen 24 EC （168 g a.i. ha^-1）, haloxyfop 10.8 EC ＋ lactofen 24 EC, hand weeding, and weedy check were evaluated during 2010-2011 at Gomal University, ***, Pakistan, to explore the best management option for effective weed control, enhanced yield and quality of cotton grown after wheat. The results revealed that hand weeding and Haloxyfop as post emergence alone or in combination with Lactofen reduced weed density to the minimum irrespective of the tillage systems. Excessive rainfall and cooler temperature limited cotton growth and yield in 2010. The adverse weather conditions had more adverse effect on boll weight under ZT and RT than CT. Haloxyfop ＋ lactofen produced higher seed cotton yield in RT than ZT, however, it could not exceed CT. Broad-spectrum herbicides x CT produced the highest number of bolls/plant, boll weight and seed cotton yield. Fiber quality and net returns were also the highest in broad-spectrum herbicides x CT. In conclusion, broad-spectrum herbicides under CT were more productive in wheat based cropping system on silty clay soil of ***.

关键词： tillage herbicide cotton seed cotton yield weed density net return

A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition

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Computers, Materials & Continua 2022年第11期73卷 2555-2576页

作者： muhammad Naeem Akbar Farhan Riaz Ahmed Bilal Awan muhammad Attique Khan Usman tariq Saad rehman National University of Sciences and Technology(NUST) Islamabad46000Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj 11942Saudi Arabia

Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video *** in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant *** proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this *** deep learning feature extraction to feature classification,the proposed framework includes several critical *** training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are *** feature extraction,pre-trained deep models are used,which are fused using the canonical correlation *** that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best *** that,the selected features were used to classify actions using various *** experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,*** comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy.

关键词： Action recognition deep learning features fusion features selection recognition