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Development of Molecular Marker Linked with Cercospora Leaf Spot (CLS) Disease Resistance in Vigna radiata, Cloning, and Expression for Evaluating Antifungal Activity against Cercospora canescens

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1289-1300页

作者： Maria Babar Siddra Ijaz Imran ul haq Muhammad Sarwar Khan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of Agriculture FaisalabadFaisalabad38040Pakistan Department of Plant Pathology University of Agriculture FaisalabadFaisalabad38040Pakistan

We developed a molecular marker for MAS of mungbean resistant varieties against CLS from the consensus sequence(MB-CLsRG)of identified RGAs(MB-ClsRCaG1 and MB-ClsRCaG2).The MB-CLsRG sequence-specific primer pair was used to screen Cercospora leaf spot(CLS)resistant varieties of mungbean in genomic analysis that showed congruency with phenotypic *** of molecular marker linkage with CLS resistance was performed using rtPCR in transcriptomic *** sequenced PCR products showed 100%homology with MB-CLsRG sequence and putative disease resistance proteins that confirmed the linkage of molecular marker with CLS resistance in *** antifungal potential of MB-CLsRG gene encoding protein was *** MB-CLsRG gene sequence was cloned in the *** expression vector for recombinant protein *** recombinant protein was then investigated for its in vitro antifungal potential against Cercospora *** in vitro investigation showed strong antifungal activity of recombinant protein as it restricted the growth of fungal mycelial *** results validated the linkage of developed marker with CLS-resistant mungbean varieties;therefore,it can be used to screen resistant varieties from a large population in ***,the recombinant protein of the MB-CLsRG gene sequence revealed antifungal potential,which proved the gene sequence could be suitable to use in transgenic plants technology to develop fungal-resistant transgenic crops.

关键词： Molecular marker mungbean MAS recombinant protein antifungal potential

IoT Devices Authentication Using Artificial Neural Network

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Computers, Materials & Continua 2022年第2期70卷 3701-3716页

作者： Syed Shabih ul Hasan Anwar Ghani ikram Ud Din Ahmad Almogren Ayman Altameem Department of Computer Science and Software Engineering International Islamic University Islamabad45000Pakistan Department of Information Technology The University of Haripur22620HaripurPakistan Chair of Cyber Security Department of Computer ScienceCollege of Computer and Information SciencesKing Saud UniversityRiyadh11633Saudi Arabia Chair of Cyber Security Department of Natural and Engineering SciencesCollege of Applied Studies and Community ServicesKing Saud UniversityRiyadh11543Saudi Arabia

User authentication is one of the critical concerns of information *** tend to use strong textual passwords,but remembering complex passwords is hard as they often write it on a piece of paper or save it in their mobile *** passwords are slightly unprotected and are easily *** attacks include dictionary,shoulder surfing,and brute *** passwords overcome the shortcomings of textual passwords and are designed to aid memorability and ease of *** paper proposes a Process-based Pattern Authentication(PPA)system for Internet of Things(IoT)devices that does not require a server to maintain a static password of the login *** server stores user’s information,which they provide at the time of registration,i.e.,the R-code and the symbol,but the P-code,i.e.,the actual password,will change with every login attempt of *** this scheme,users may draw a pattern on the basis of calculation from the P-code and Rcode in the PPA pattern,and can authenticate themselves using their touch dynamic behaviors through Artificial Neural Network(ANN).The ANN is trained on touch behaviors of legitimate users reporting superior performance over the existing *** experimental purposes,PPA is implemented as a prototype on a computer system to carry out experiments for the evaluation in terms of memorability and *** experiments show that the system has an effect of 5.03%of the False Rejection Rate(FRR)and 4.36%of the False Acceptance Rate(FAR),respectively.

关键词： Implicit authentication behavioral authentication artificial neural network processed pattern authentication

Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan Mohd Anul haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

Enhancing Dielectric and Mechanical Behaviors of Hybrid Polymer Nanocomposites Based on Polystyrene,Polyaniline and Carbon Nanotubes Coated with Polyaniline

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Chinese Journal of Polymer Science 2016年第12期34卷 1500-1509页

作者： Tanveer ul haq Zia Ahmad Nawaz Khan Majid Hussain Ibrar Hassan Iftikhar Hussain Gul Department of Materials Engineering School of Chemical and Materials EngineeringNational University of Sciences and Technology

The dielectric and mechanical properties of hybrid polymer nanocomposites of polystyrene/polyaniline/carbon nanotubes coated with polyaniline （pCNTs） have been investigated using impedance analyzer and extensometer. The blends of PS/PANI formed the heterogeneous phase separated morphology in which pCNTs are dispersed uniformly. The incorporation of a small amount of pCNTs into the blend of PS/PANI has remarkably increased the dielectric properties. Similarly, the AC conductivity of PS/PANI is also increased five orders of magnitude from 1.6 × 10^-10 to 2.0×10^-5 ***-1 in the hybrid nanocomposites. Such behavior of hybrid nanocomposites is owing to the interfacial polarization occurring due to the presence of multicomponent domains with varying conductivity character of the phases from insulative PS to poor conductor PANI to highly conductive CNTs. Meanwhile, the tensile modulus and tensile strength are also enhanced significantly up to 55% and 160%, respectively, without much loss of ductility for three phase hybrid nanocomposites as compared to the neat PS. Thereby, the hybrid nanocomposites of PS/PANI/pCNTs become stiffer, stronger and tougher as compared to the neat systems.

关键词： Nanocomposites Carbon nanotubes Dielectric behavior Mechanical properties Polystyrene.

On the Constant Metric Dimension of Generalized Petersen Graphs P(n,4)

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Acta Mathematica Sinica,English Series 2014年第7期30卷 1145-1160页

作者： Saba NAZ Muhammad SALMAN Usman ALI Imran JAVAID Syed Ahtsham-ul-haq BOKHARY Center for Advanced Studies in Pure and Applied Mathematics Bahauddin Zakariya University

In this paper, we consider the family of generalized Petersen graphs P（n,4）. We prove that the metric dimension of P（n, 4） is 3 when n = 0 （mod 4）, and is 4 when n = 4k ＋ 3 （k is even）.For n = 1,2 （mod 4） and n = 4k ＋ 3 （k is odd）, we prove that the metric dimension of P（n,4） is bounded above by 4. This shows that each graph of the family of generalized Petersen graphs P（n, 4） has constant metric dimension.

关键词： Metric dimension constant metric dimension generalized Petersen graphs

The marksman: Bioactivated nematicides selectively kill plant-parasitic nematodes

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Journal of Integrative Plant Biology 2023年第10期65卷 2239-2241页

作者： Yuwen Cao Aziz ul ikram Jianping Chen Zongtao Sun Jian Chen International Genome Center Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐products Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang ProvinceInstitute of Plant VirologyNingbo UniversityNingbo 315211China

Plant-parasitic nematodes(PPNs) are destructive pathogens that cause great damage to crops and severely limit food production, hindering our ability to meet the growing worldwide demand for food(Topalovi? and Vesterg?rd,2021). The global crop losses caused by PPNs are estimated to be about 8.8%–14.6% of total crop production and 100–157 billion USD annually(Singh et al., 2013).

关键词： annually crops Singh

The interaction mechanisms of co-existing polybrominated diphenyl ethers and engineered nanoparticles in environmental waters: A critical review

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Journal of Environmental Sciences 2023年第2期124卷 227-252页

作者： Anwar ul haq Khan Ravi Naidu Raja Dharmarajan Cheng Fang Hokyong Shon Zhaomin Dong Yanju Liu Global Centre for Environmental Remediation(GCER) College of Engineering Science and EnvironmentThe University of NewcastleCallaghanNSW 2308Australia Cooperative Research Centre for Contamination Assessment and Remediation of the Environment(CRC CARE) ATC BuildingThe University of NewcastleCallaghanNSW 2308Australia School of Civil and Environmental Engineering University of Technology Sydney(UTS)City CampusBroadwayNSW 2007Australia School of Space and Environment Beihang UniversityBeijging 100191China

This review focuses on the occurrence and interactions of engineered nanoparticles(ENPs)and brominated flame retardants(BFRs)such as polybrominated diphenyl ethers(PBDEs)in water systems and the generation of highly complex compounds in the *** release of ENPs and BFRs(***)to aquatic environments during their usage and disposal are summarised together with their key interaction *** major interaction mechanisms including electrostatic,van derWaals,hydrophobic,molecular bridging and steric,hydrogen andπ-bonding,cation bridging and ligand exchange were *** presence of ENPs could influence the fate and behaviour of PBDEs through the interactions as well as induced reactions under certain conditions which increases the formation of complex *** interaction leads to alteration of behaviour for PBDEs and their toxic effects to ecological *** intermingled compound(ENPs-BFRs)would show different behaviour from the parental ENPs or BFRs,which are currently lack of *** review provided insights on the interactions of ENPs and BFRs in artificial,environmental water systems and wastewater treatment plants(WWTPs),which are important for a comprehensive risk assessment.

关键词： Engineered nanoparticles(ENPs) Polybrominated diphenyl ethers (PBDEs) Wastewater treatment plants (WWTPs) Emerging contaminants(ECs) Interaction mechanisms

In silico Prediction and Analysis of Potential Off-Targets and Off-Target Mutation Detection in StERF3-Gene Edited Potato Plants

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Phyton-International Journal of Experimental Botany 2023年第8期92卷 2451-2460页

作者： Hafiza Arooj Razzaq Siddra Ijaz Imran ul haq Faisal Saeed Awan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of AgricultureFaisalabad38040Pakistan Department of Plant Pathology University of AgricultureFaisalabad38040Pakistan

The imperative aspect of the CRISPR/Cas9 system is a short stretch of 20 nucleotides of gRNA that control the overall speciﬁ*** to the small size,the chance of its multiple occurrences in the genome increases;however,a few mismatches are tolerated by the Cas9 endonuclease *** accurate and careful in silico-based off-target prediction while target selection is preferred to address the *** predictions are based on a comprehensive set of selectable ***,we investigated the possible off-target prediction and their screening in StERF3 gene-edited potato plants while developing StERF3-loss-of-function mutants using CRISPR/Cas9 *** 201 off-targets for the selected targets of the StERF3 gene were predicted,and 79 wereﬁltered as potential *** these 79,twenty-ﬁve off-targets showed scores with deﬁned cut-off values<0.5 and were analyzed in Sterf3-edited potato plants compared to wild-type *** off-targeting was found to have occurred in edited plants.

关键词： CRISPR/Cas9 system potato CCTop algorithm scoring off-target edits

Atypical focal nodular hyperplasia of the liver

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Hepatobiliary & Pancreatic Diseases International 2011年第1期10卷 104-106页

作者： Muhammad Rizwan Khan Taimur Saleem Tanveer ul haq Kanwal Aftab Section of General Surgery Department of Surgery Aga Khan UniversityStadium Road Department of Pathology Aga Khan UniversityStadium Road Section of Interventional Radiology Department of RadiologyAga Khan UniversityStadium Road Aga Khan University Hospital Medical College Aga Khan UniversityStadium Road

BACKGROUND:Focal nodular hyperplasia,a benign hepatic tumor,is usually ***,rarely the entity can cause symptoms,mandating intervention. METHOD:We present a case of focal nodular hyperplasia of the liver,which caused a considerable diagnostic dilemma due to its atypical presentation. RESulTS:A 29-year-old woman presented with a 15-year history of a progressively increasing mass in the right upper quadrant which was associated with pain and emesis. Examination showed a firm,mobile mass palpable below the right subcostal margin.A computed tomography scan of the abdomen showed an exophytic mass arising from hepatic segments III and *** biopsy of the hepatic mass was *** showed a vascular tumor that was supplied by a tortuous branch of the proper hepatic artery. Surgical intervention for removal of the mass was undertaken. Intra-operatively,two large discrete tumors were found and completely *** examination showed features consistent with focal nodular hyperplasia. CONCLUSION:This description of an unusual case of focal nodular hyperplasia of the liver highlights the point that the diagnosis of otherwise benign hepatic tumors may be difficult despite extensive work-up in some cases.

关键词： focal nodular hyperplasia atypical liver