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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

Genome-wide association analysis for stripe rust resistance in spring wheat(Triticum aestivum L.) germplasm

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Journal of Integrative Agriculture 2020年第8期19卷 2035-2043页

作者： Sher MUHAMMAD Muhammad SAJJAD Sultan Habibullah KHAN Muhammad SHAHID Muhammad ZUBAIR faisal saeed awan Azeem iqbal KHAN Muhammad Salman MUBARAK Ayesha TAHIR Muhammad UMER Rumana KEYANI Muhammad InamAFZAL Irfan MANZOOR Javed Iqbal WATTOO Aziz-ur REHMAN Department of Bioinformatics and Biotechnology GC UniversityFaisalabad 38090Pakistan Department of Biosciences COMSATS University Islamabad(CUI)Islamabad 45550Pakistan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of AgricultureFaisalabad 38000Pakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabad 38000Pakistan Department of Biotechnology Faculty of Life SciencesUniversity of Central PunjabLahore 54000Pakistan Wheat Research Institute Ayub Agricultural Research Institute(AARI)Faisalabad 38950Pakistan

Stripe rust is a continuous threat to wheat crop all over the *** causes considerable yield losses in wheat crop every *** deployment of adult plant resistance(APR)genes in newly developing wheat cultivars is the most judicious strategy to combat this ***,we dissected the genetics underpinning stripe rust resistance in Pakistani wheat *** association panel of 94 spring wheat genotypes was phenotyped for two years to score the infestation of stripe rust on each accession and was scanned with 203 polymorphic *** on D’measure,linkage disequilibrium(LD)exhibited between loci distant up to 45 c ***-trait associations(MTAs)were determined using mixed linear model(MLM).Total 31 quantitative trait loci(QTLs)were observed on all 21 wheat *** QTLs were newly discovered as well as 19 QTLs and 35 previously reported Yr genes were validated in Pakistani wheat *** major QTLs were ***.2 AL and ***.3 BS(PVE,11.9%).Dissection of genes from the newly observed QTLs can provide new APR genes to improve genetic resources for APR resistance in wheat crop.

关键词： wheat Puccinia striiformis LD GWAS MTA PCoA

Anomaly-Based Intrusion DetectionModel Using Deep Learning for IoT Networks

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 823-845页

作者： Muaadh A.Alsoufi Maheyzah Md Siraj Fuad A.Ghaleb Muna Al-Razgan Mahfoudh saeed Al-Asaly Taha Alfakih faisal saeed Faculty of Computing Universiti Teknologi Malaysia(UTM)Johor Bahru81310Malaysia DAAI Research Group College of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11345Saudi Arabia

The rapid growth of Internet of Things(IoT)devices has brought numerous benefits to the interconnected ***,the ubiquitous nature of IoT networks exposes them to various security threats,including anomaly intrusion *** addition,IoT devices generate a high volume of unstructured *** intrusion detection systems often struggle to cope with the unique characteristics of IoT networks,such as resource constraints and heterogeneous data *** the unpredictable nature of network technologies and diverse intrusion methods,conventional machine-learning approaches seem to lack *** numerous research domains,deep learning techniques have demonstrated their capability to precisely detect *** study designs and enhances a novel anomaly-based intrusion detection system(AIDS)for IoT ***,a Sparse Autoencoder(SAE)is applied to reduce the high dimension and get a significant data representation by calculating the reconstructed ***,the Convolutional Neural Network(CNN)technique is employed to create a binary classification *** proposed SAE-CNN approach is validated using the Bot-IoT *** proposed models exceed the performance of the existing deep learning approach in the literature with an accuracy of 99.9%,precision of 99.9%,recall of 100%,F1 of 99.9%,False Positive Rate(FPR)of 0.0003,and True Positive Rate(TPR)of *** addition,alternative metrics,such as training and testing durations,indicated that SAE-CNN performs better.

关键词： IoT anomaly intrusion detection deep learning sparse autoencoder convolutional neural network

Trehalose:A sugar molecule involved in temperature stress management in plants

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The Crop Journal 2024年第1期12卷 1-16页

作者： Ali Raza Savita Bhardwaj Md Atikur Rahman Pedro García-Caparrós Madiha Habib faisal saeed Sidra Charagh Christine H.Foyer Kadambot H.M.Siddique Rajeev K.Varshney College of Agriculture Fujian Agriculture and Forestry University(FAFU)Fuzhou 350002FujianChina Department of Botany School of Bioengineering and BiosciencesLovely Professional UniversityPhagwara 144411India Department of Botany MCM DAV CollegeKangraHimachal Pradesh 176001India Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonan 31000Republic of Korea Agronomy Department of Superior School Engineering University of AlmeríaAlmeríaSpain National Institute for Genomics and Advanced Biotechnology National Agricultural Research CentrePark Rd.Islamabad 45500Pakistan Agriculture Health and Environment DepartmentNatural Resources InstituteFaculty of Engineering&ScienceUniversity of GreenwichKent ME44TBUK State Key Laboratory of Rice Biology China National Rice Research InstituteChinese Academy of Agricultural SciencesHangzhouZhejiangChina School of Biosciences College of Life and Environmental SciencesUniversity of BirminghamEdgbaston B152TTUK The UWA Institute of Agriculture The University of Western AustraliaCrawleyPerth 6009Australia WA State Agricultural Biotechnology Centre Centre for Crop and Food InnovationFood Futures InstituteMurdoch UniversityMurdochWA 6150Australia

Trehalose(Tre)is a non-reducing disaccharide found in many species,including bacteria,fungi,invertebrates,yeast,and even plants,where it acts as an osmoprotectant,energy source,or protein/membrane *** relatively small amounts in plants,Tre concentrations increase following exposure to abiotic ***-6-phosphate,a precursor of Tre,has regulatory functions in sugar metabolism,crop production,and stress *** the various abiotic stresses,temperature extremes(heat or cold stress)are anticipated to impact crop production worldwide due to ongoing climate *** small amounts of Tre can mitigate negative physiological,metabolic,and molecular responses triggered by temperature *** also interacts with other sugars,osmoprotectants,amino acids,and phytohormones to regulate metabolic reprogramming that underpins temperature stress *** plants expressing Tre-synthesis genes accumulate Tre and show improved stress ***-wide studies of Tre-encoding genes suggest roles in plant growth,development,and stress *** review discusses the functions of Tre in mitigating temperature stress—highlighting genetic engineering approaches to modify Tre metabolism,crosstalk,and interactions with other molecules—and in-silico approaches for identifying novel Tre-encoding genes in diverse plant *** consider how this knowledge can be used to develop temperature-resilient crops essential for sustainable agriculture.

关键词： Abiotic stress Gene expression Genetic engineering Osmolyte Trehalose-6-phosphate

National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma

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World Journal of Gastroenterology 2024年第9期30卷 1018-1042页

作者： faisal Saud Dar Zaigham Abbas Irfan Ahmed Muhammad Atique Usman Iqbal Aujla Muhammad Azeemuddin Zeba Aziz Abu Bakar Hafeez Bhatti Tariq Ali Bangash Amna Subhan Butt Osama Tariq Butt Abdul Wahab Dogar Javed Iqbal Farooqi faisal Hanif Jahanzaib Haider Siraj Haider Syed Mujahid Hassan Adnan Abdul Jabbar Aman Nawaz Khan Muhammad Shoaib Khan Muhammad Yasir Khan Amer Latif Nasir Hassan Luck Ahmad Karim Malik Kamran Rashid Sohail Rashid Mohammad Salih Abdullah saeed Amjad Salamat Ghias-un-Nabi Tayyab Aasim Yusuf Haseeb Haider Zia Ammara Naveed Department of Hepatopancreatic Biliary Surgery&Liver Transplant Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Hepatogastroenterology and Liver Transplantation Dr.Ziauddin University HospitalKarachi 75600SindhPakistan University of Aberdeen Aberdeen B243FXUnited Kingdom Department of Pathology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Gastroenterology&Hepatology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Radiology Aga Khan UniversityKarachi 74800Pakistan Department of Oncology Hameed Latif HospitalLahore 54000Pakistan Division of Hepatopancreatic Biliary Surgery&Liver Transplantation Shifa International HospitalIslamabad 44000Pakistan Department of Hepatopancreatic Biliary Surgery&Liver Transplant Shaikh Zayed Hospital and Post Graduate Medical InstituteLahore 54000Pakistan Department of Medicine Aga Khan University HospitalKarachi 74800Pakistan Department of Liver Transplant Pir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Medicine&Gastroenterology Lifecare Hospital and Research CentrePeshawar 25000Khyber PakhtunkhwaPakistan Department of Hepatopancreatobiliary&Liver Transplant Bahria International HospitalLahore 54000Pakistan Department of Surgery Hepatopancreatobiliary&Liver TransplantDow University of Health SciencesKarachi 74800Pakistan Department of Gastroenterology Hepatology&NutritionPir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Oncology Dr.Ziauddin HospitalKarachi 74800Pakistan Department of Radiology Rehman Medical InstitutePeshawar 25000Pakistan Army Liver Transplant Unit Pak Emirates Military HospitalRawalpindi 46000Pakistan Department of Gastroenterology Sindh Institute of Urology and TransplantationKarachi 75500Pakistan Rashid Nursing Home and Cancer Clinic Rashid Nursing Home and Cancer ClinicRawalpindi 46000Pakistan Department of Gastroentero

A consensus meeting of national experts from all major national hepatobiliary centres in the country was held on May 26,2023,at the Pakistan Kidney and Liver Institute&Research Centre(PKLI&RC)after initial consultations with the *** Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised this *** effort was based on a comprehensive literature review to establish national practice guidelines for hilar cholangiocarcinoma(hCCA).The consensus was that hCCA is a complex disease and requires a multidisciplinary team approach to best manage these *** coordinated effort can minimise delays and give patients a chance for curative treatment and effective *** diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance *** cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for ***,histopathologic confirmation is not always required before *** ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for *** only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette *** patients with unresectable hCCA can be considered for liver *** chemotherapy should be offered to patients with a high risk of *** use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary *** with acute cholangitis can be drained with endoscopic or percutaneous biliary *** chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA.

关键词： Hilar cholangiocarcinoma Bismuth-Corlette classification Memorial Sloan Kettering Cancer Centre Staging Preoperative biliary drainage Portal vein embolisation Surgical resection Hepatectomy

An Ensemble Learning Based Approach for Detecting and Tracking COVID19 Rumors

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Computers, Materials & Continua 2022年第1期70卷 1721-1747页

作者： Sultan Noman Qasem Mohammed Al-Sarem faisal saeed Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Computer Science Department Faculty of Applied ScienceTaiz UniversityTaiz6803Yemen College of Computer Science and Engineering Taibah UniversityMedinaSaudi Arabia Information System Department Saba’a Region UniversityMareebYemen

Rumors regarding epidemic diseases such as COVID 19,medicines and treatments,diagnostic methods and public emergencies can have harmful impacts on health and political,social and other aspects of people’s lives,especially during emergency situations and health *** huge amounts of content being posted to social media every second during these situations,it becomes very difficult to detect fake news(rumors)that poses threats to the stability and sustainability of the healthcare sector.A rumor is defined as a statement for which truthfulness has not been *** COVID 19,people found difficulty in obtaining the most truthful news easily because of the huge amount of unverified information on social *** methods have been applied for detecting rumors and tracking their sources for COVID 19-related ***,very few studies have been conducted for this purpose for the Arabic language,which has unique ***,this paper proposes a comprehensive approach which includes two phases:detection and *** the detection phase of the study carried out,several standalone and ensemble machine learning methods were applied on the Arcov-19 dataset.A new detection model was used which combined two models:The Genetic Algorithm Based Support Vector Machine(that works on users’and tweets’features)and the stacking ensemble method(that works on tweets’texts).In the tracking phase,several similarity-based techniques were used to obtain the top 1%of similar tweets to a target tweet/post,which helped to find the source of the *** experiments showed interesting results in terms of accuracy,precision,recall and F1-Score for rumor detection(the accuracy reached 92.63%),and showed interesting findings in the tracking phase,in terms of ROUGE L precision,recall and F1-Score for similarity techniques.

关键词： Rumor detection rumor tracking similarity techniques COVID-19 social media analytics

Energy Theft Detection in Smart Grids with Genetic Algorithm-Based Feature Selection

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Computers, Materials & Continua 2023年第3期74卷 5431-5446页

作者： Muhammad Umair Zafar saeed faisal saeed Hiba Ishtiaq Muhammad Zubair Hala Abdel Hameed Faculty of Information Technology University of Central PunjabLahore54590Pakistan DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirmingham B47XGUK Faculty of Computer and Information Systems Fayoum University63514Egypt Khaybar Applied College Taibah UniversitySaudi Arabia

As big data,its technologies,and application continue to advance,the Smart Grid(SG)has become one of the most successful pervasive and fixed computing platforms that efficiently uses a data-driven approach and employs efficient information and communication technology(ICT)and cloud *** a result of the complicated architecture of cloud computing,the distinctive working of advanced metering infrastructures(AMI),and the use of sensitive data,it has become challenging tomake the SG *** of the SG are categorized into two main categories,Technical Losses(TLs)and Non-Technical Losses(NTLs).Hardware failure,communication issues,ohmic losses,and energy burnout during transmission and propagation of energy are ***’s are human-induced errors for malicious purposes such as attacking sensitive data and electricity theft,along with tampering with AMI for bill reduction by fraudulent *** research proposes a data-driven methodology based on principles of computational intelligence as well as big data analysis to identify fraudulent customers based on their load *** our proposed methodology,a hybrid Genetic Algorithm and Support Vector Machine(GA-SVM)model has been used to extract the relevant subset of feature data from a large and unsupervised public smart grid project dataset in London,UK,for theft detection.A subset of 26 out of 71 features is obtained with a classification accuracy of 96.6%,compared to studies conducted on small and limited datasets.

关键词： Big data data analysis feature engineering genetic algorithm machine learning

Fault-tolerant Deadbeat Model Predictive Current Control for a Five-phase PMSM with Improved SVPWM

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Chinese Journal of Electrical Engineering 2021年第3期7卷 111-123页

作者： Suleman saeed Wenxiang Zhao Huanan Wang Tao Tao faisal Khan School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad 22060Pakistan

The main drawbacks of traditional finite set model predictive control are high computational load,large torque ripple,and variable switching frequency.A less complex deadbeat(DB)model predictive current control(MPCC)with improved space vector pulse-width modulation(SVPWM)under a single-phase open-circuit fault is *** proposed method predicts the reference voltage vector in the a-β subspace by employing the deadbeat control principle on the machine predictive model;thus,the exhaustive exploration procedure is avoided to relieve the computational *** perform the constant switching frequency operation and achieve better steady-state performance,a modified SVPWM strategy is developed with the same conventional structure,which modulates the reference voltage *** new approach is based on a redesigned and adjusted post-fault virtual voltage vector space distribution that eliminates the y-axis harmonic components in the x-y subspace and ensures the generation of symmetrical PWM ***,the combined merits of the DB,MPCC,and SVPWM methods are *** verify the effectiveness of the proposed control scheme,comparative experiments are performed on a five-phase permanent magnet synchronous motor(PMSM)drive system.

关键词： Five-phase fault-tolerant permanent magnet deadbeat model predictive control space vector modulation

Deep eutectic ionic liquids based on DABCO-derived quaternary ammonium salts: A promising reaction medium in gaining access to terpyridines

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Frontiers of Chemical Science and Engineering 2019年第3期13卷 586-598页

作者： Muhammad faisal Azeem Haider Quret ul Aein Aamer saeed Fayaz Ali Larik Department of Chemistry Quaid-I-Azam UniversityIslamabadPakistan

Owing to the directional H-bonding,coordination and π-stacking abilities,terpyridines have been widely used as supramolecular tectons in molecular architectures,skeletons in molecular devices and metallopolymers,and are gaining importance in medicinal *** this paper,we have synthesized,characterized and applied deep eutectic ionic liquids (DEILs) based on 1,4-diazabicyclo[2.2.2]octane;triethylenediamine (DABCO)-derived quatemary ammonium salts for the preparation *** DEILs were synthesized through N-alkylation of DABCO with haloalkanes (1-bromopentane or 1-bromoheptane) followed by mixing and heating with methanol or polyethylene glycol as a hydrogen bond *** synthesized DEILs were structurally characterized by IR and *** formation of deep eutectic solvent was confirmed by freezing point depression,it composition was investigated through phase diagram,and its thermal stability was determined through differential scanning calorimetry,derivative thermogravimetry and thermal gravimetric analysis ***,these DEILs were investigated for their effectiveness towards synthesis of 2,2':6',2"-terpyridine,3,2':6',3"-terpyridineand 4,2':6',4"-terpyridine derivatives through Kr(o)hnke *** results show that these three types ofterpyridines can be obtained in reasonable yields (80%-97%) by the one-pot reaction of 2-,3-or 4-acetylpyridine with a variety of aromatic aldehydes in the presence of DEIL as a reaction medium,sodium hydroxide as a base and ammonium acetate as a cyclizing *** methodology is highly efficient and cost-effective for synthesis of symmetrical as well as unsymmetrical ***,these DEILs can be reused several times without an obvious loss of activity and are non-toxic,low-volatile,biodegradable and highly thermally ***,these DEILs as a non-conventional reaction medium for the synthesis of terpyridines provides appealing opportunities to be investigated in the domain of gr

关键词： terpyridine deep eutectic solvent ionic liquid Krohnke reaction DABCO

Arabic Sentiment Analysis of Users’ Opinions of Governmental Mobile Applications

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Computers, Materials & Continua 2022年第9期72卷 4675-4689页

作者： Mohammed Hadwan Mohammed A.Al-Hagery Mohammed Al-Sarem faisal saeed Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaizYemen Inteligent Analytic Group College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina42353Saudi Arabia Institute for Artificial Intelligence and Big Data Universiti Malaysia KelantanPengkalan ChepaKota Bharu16100KelantanMalaysia

Different types of pandemics that have appeared from time to time have changed many aspects of daily *** governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during *** Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store.A huge number of reviews are written daily by users to express their opinions,which include significant information to improve these *** manual processing and extracting of information from users’reviews is an extremely difficult and time-consuming ***,the use of intelligent methods is necessary to analyse users’reviews and extract issues that can help in improving these *** research aims to support the efforts made by the Saudi government for its citizens and residents by analysing the opinions of people in Saudi Arabia that can be found as reviews on Google Play and the app store using sentiment analysis and machine learning *** the best of our knowledge,this is the first study to explore users’opinions about governmental apps in Saudi *** findings of this analysis will help government officers make the right decisions to improve the quality of the provided services and help application developers improve these applications by fixing potential issues that cannot be identified during application testing phases.A new dataset used for this research includes 8000 user reviews gathered from social media,Google Play and the app *** methods are applied to the dataset,and the results show that the k nearest neighbourhood(KNN)method generates the highest accuracy compared to other implemented methods.

关键词： Arabic sentiment analysis software quality user satisfaction improving online governmental services machine learning intelligent systems mobile app