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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

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Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain Abbas muhammad Usman Ghani khan Jia Zhu Raheem sarwar Naif R.Aljohani Ibrahim A.Hameed muhammad Umair Hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

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Implication of machine learning techniques to forecast the electricity price and carbon emission:Evidence from a hot region

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Geoscience Frontiers 2024年第3期15卷 259-271页

作者： Suleman sarwar Ghazala Aziz Aviral Kumar Tiwari Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Department of Business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Indian Institute of Management BodhgayaIndia

The current study examines the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price *** main contribution is focused on eastern region of Saudi Arabia,a relatively hottest geographical area full of energy resources but with different electricity consumption *** relative irrelevance of temperature as predicting factor of electricity consumption is quite surprising and contradicts the previous *** the eastern region,electricity price has negative association with electricity *** comparing traditional and machine learning,it is found that machine learning techniques offer better *** the machine learning techniques,the support vector machine has the lowest errors in forecasting the electricity ***,the support vector machine approach is used to forecast the trend of carbon emissions caused by electricity *** findings have policy implications and offer valuable suggestions to policymakers while addressing the determinants of electricity consumption and forecasting electricity prices.

关键词： Electricity consumption Carbon emission Artificial neural network Support vector machine Saudi Arabia

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Role of intravascular ultrasound and optical coherence tomography in intracoronary imaging for coronary artery disease:a systematic review

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Journal of Geriatric Cardiology 2024年第1期21卷 104-129页

作者： Maruf sarwar Stephen Adedokun Mahesh Anantha Narayanan Department of Cardiovascular Sciences White River HealthBatesvilleARUSA Division of Cardiology University of Tennessee at MemphisTNUSA University of Arkansas Medical Sciences Little RockARUSA

Coronary angiography has long been the standard for coronary imaging,but it has limitations in assessing vessel wall anatomy and guiding percutaneous coronary intervention(PCI).Intracoronary imaging techniques like intravascular ultrasound(IVUS)and optical coherence tomography(OCT)can overcome these *** uses ultrasound and OCT uses near-infrared light to visualize coronary pathology in unique ways due to differences in temporal and spatial *** techniques have evolved to offer clinical utility in plaque characterization and vessel assessment during ***-analyses and adjusted observational studies suggest that both IVUS and OCT-guided PCI correlate with reduced cardiovascular risks compared to angiographic guidance *** IVUS demonstrates consistent clinical outcome benefits,OCT evidence is less *** has progressed from early motion detection to high-resolution systems,with smaller compatible *** utilizes near infrared light to achieve unparalleled resolutions,but requires temporary blood clearance for optimal *** visualization and guidance make IVUS and OCT well-suited for higher risk PCI in patients with diabetes and chronic kidney disease by allowing detailed visualization of complex lesions and ensuring optimal stent deployment and positioning in PCI for patients with type 2 diabetes and chronic kidney disease,improving *** and recent advancements in zero-and low-contrast OCT techniques can reduce nephrotoxic contrast exposure,thus helping to minimize PCI complications in these high-risk patient *** and OCT provide valuable insights into coronary pathophysiology and guide interventions precisely compared to angiography *** have comparable clinical outcomes,emphasizing the need for tailored imaging choices based on clinical *** refinement and integration of intravascular imaging will likely play a pivotal role in optimizing coronary interventions and outcomes.

关键词： coronary anatomy limitations

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Applicability of denoising-based artificial intelligence to forecast the environmental externalities

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Geoscience Frontiers 2024年第3期15卷 469-483页

作者： Dongsheng Cai Ghazala Aziz Suleman sarwar Majid Ibrahim Alsaggaf Avik Sinha The College of Nuclear Technology and Automation Engineering Chengdu University of TechnologySichuan Province 610059China Department of Business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Management Development Institute Gurgaon India

The current study attempts to compare the hybrid artificial intelligence models to forecast the environmental externalities in Saudi *** have used the denoising based artificial intelligence models to construct hybrid *** comparing the denoising techniques,the CSD-based denoising has ***,we have used the CSD-based hybrid ***-ANN and CSD-RNN are used for denoising-based artificial intelligence models,whereas CSD-ARIMA is used for denoising-based traditional *** these models are used to check and compare their performance in terms of level and direction of prediction for PM_(10).The results show that the CSD-based ANN model has a higher predictability for PM_(10) levels in Saudi Arabia due to low error values and higher Dstat *** comparing original and forecasted data,the superiority of CSD-ANN is evident in predicting the PM_(10) in Saudi ***,this hybrid model can predict the environmental externalities for non-linear and highly noised ***,the findings can be useful in achieving the sustainable development goal.

关键词： Hybrid artificial intelligence Forecasting Saudi Arabia Environment PM_(10)

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Mechanical and magneto-electronic properties of europium lanthanide-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe): An ab initio study

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Journal of Rare Earths 2024年第3期42卷 562-569,I0005页

作者： Hayat Ullah Azra sarwar Sajad Ali Rabah Khenata Abdelmadjid Bouhemadou Saad Bin-Omran Department of Physics Women University of Azad Jammu&Kashmir Bagh 10250Pakistan Department of Physics Abdul Wali Khan UniversityMardan23200KPPakistan LPQ3M Laboratory Institute of Science and TechnologyUniversity of Mascara29000MascaraAlgeria Laboratory for Developing New Materials and Their Characterization Farhat Abbas University Setif l19000SetifAlgeria Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Computational calculations using density functional theory(DFT) were performed for the first time using the full potential linearized augmented plane wave plus local orbital method(FP-LAPW + LO) to determine the structural, elastic, electronic and magnetic properties of europium-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe). The exchange correlation potentials of GGA along with some analytical methods were adopted for the computation of structural and elastic properties. Moreover, the GGA + U formalism was also added for obtaining more precise electronic and magnetic properties, particularly to address the Eu-4f and Y-3d orientations in the spin-polarized double cell symmetry. The observed lattice parameters of these compounds are consistent with experiment. The observed bulk moduli predict that EuCrO_(3) is harder and less compressible than EuMnO_(3) and EuFeO_(3). The calculated tolerance factors of these compounds are within the cubic symmetry range. Our computed critical radius of EuCrO_(3) shows that EuCrO_(3) has a larger migration energy. Based on their elastic properties, these compounds are ductile in nature. We also computed the thermal properties of these compounds. The band structures and density of states show that these compounds are metallic in character. The lowest ground state energy and magnetic moments of these compounds expose their ferromagnetic nature. The metallic nature and strong ferromagnetism of these compounds make them promising applicants for application in spintronic.

关键词： Perovskites GGA+U Elastic constants Band structure Magnetic moments Rare earths

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Weber Law Based Approach for Multi-Class Image Forgery Detection

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Computers, Materials & Continua 2024年第1期78卷 145-166页

作者： Arslan Akram Javed Rashid Arfan Jaffar Fahima Hajjej Waseem Iqbal Nadeem sarwar Department of Computer Science Superior UniversityLahore54000Pakistan Information Technology Services University of OkaraOkara56300Pakistan Departmet of Computer Science MLC LabOkara56300Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science Bahria UniversityLahore CampusLahore54600Pakistan

Today’s forensic science introduces a new research area for digital image analysis formultimedia ***,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegitimate benefit or createmisleading publicity by using tempered *** forgery detectionmethods can classify only one of the most widely used Copy-Move and splicing ***,an image can contain one or more types of *** study has proposed a hybridmethod for classifying Copy-Move and splicing images using texture information of images in the spatial ***,images are divided into equal blocks to get scale-invariant *** law has been used for getting texture features,and finally,XGBOOST is used to classify both Copy-Move and splicing *** proposed method classified three types of forgeries,i.e.,splicing,Copy-Move,and ***(CASIA 2.0,MICCF200)and RCMFD datasets are used for training and *** average,the proposed method achieved 97.3% accuracy on benchmarked datasets and 98.3% on RCMFD datasets by applying 10-fold cross-validation,which is far better than existing methods.

关键词： Copy-Move and splicing non-overlapping block division texture features weber law spatial domain xgboost

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BnaWRKY75 positively regulates the resistance against Sclerotinia sclerotiorum in ornamental Brassica napus

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Horticultural Plant Journal 2024年第3期10卷 784-796页

作者： Kexin Yu Yijie Zhang Xiaoyuan Fei Luyue Ma Rehman sarwar Xiaoli Tan Zheng Wang School of Life Sciences Jiangsu UniversityZhenjiangJiangsu 212013China School of Food and Biological Engineering Jiangsu University ZhenjiangJiangsu 212013China Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment Jiangsu UniversityZhenjiangJiangsu 212013China

With the development of tourism at home and abroad,Rapeseed(Brassica napus)has become an important ornamental ***,its ornamental value at the inflorescence stage is greatly reduced by Sclerotinia *** of important genes in the defense responses is critical for molecular breeding,which is an important strategy for controlling the *** this study,we isolated a *** WRKY transcription factor gene,***75 was found to encode a nucleus-localized protein and exhibited relatively high expression in the *** thaliana transgenic plants expressing BnaWRKY75 showed enhanced resistance to ***,and both ProBnaWRKY75:GUS and gene expression analyses showed that BnaWRKY75 was highly responsive to *** infection,indicating the involvement of BnaWRKY75 in response to this ***,overexpression(OE)of BnaWRKY75 in *** significantly enhanced the resistance to ***,whereas the resistance was reduced in RNAi transgenic *** ***,the BnaWRKY75-OE *** plants exhibited constitutive activation of salicylic acid-,jasmonic acid-,and ethylene-mediated defense responses and the inhibition of both H_(2)O_(2)and O_(2)·^(-)accumulation in response to this *** contrast,BnaWRKY75-RNAi plants showed a reverse pattern,suggesting that BnaWRKY75 is involved in hormonal signaling pathways and in the control of reactive oxygen species *** conclusion,these data indicate that BnaWRKY75,a regulator of multiple defense responses,positively regulates resistance against ***,which may guide the improvement of resistance in rapeseed.

关键词： Brassica napus BnaWRKY75 Defense response Sclerotinia sclerotiorum

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Impact of Medicaid expansion on kidney transplantation in the State Oklahoma

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World Journal of Transplantation 2024年第3期14卷 110-119页

作者： Hyoshin Kwon Zoya Sandhu Zoona sarwar Oya M Andacoglu Department of Surgery Division of TransplantationOu College of MedicineOK 73104United States Department of Internal Medicine University of OklahomaTulsa School of Community MedicineTulsaOK 74135United States Department of Surgery University of Oklahoma College of MedicineOklahomaOK 73104United States Department of Transplantation and Advanced Hepatobiliary Surgery University of UtahSalt LakeUT 84112United States

BACKGROUND There is no data evaluating the impact of Medicaid expansion on kidney tran-splants(KT)in *** To investigate the impact of Medicaid expansion on KT patients in *** The UNOS database was utilized to evaluate data pertaining to adult KT reci-pients in Oklahoma in the pre-and post-Medicaid *** analysis,Kaplan Meier analysis was used to estimate,and cox proportional models were *** There were 2758 pre-and 141 recipients in the post-Medicaid expansion ***-expansion patients were more often non-United States citizens(2.3%vs 5.7%),American Indian,Alaskan,or Pacific Islander(7.8%vs 9.2%),Hispanic(7.4%vs 12.8%),or Asian(2.5%vs 8.5%)(P<0.0001).Waitlist time was shorter in the post-expansion era(410 vs 253 d)(P=0.0011).Living donor rates,pre-emptive transplants,re-do transplants,delayed graft function rates,kidney donor profile index values,panel reactive antibodies levels,and insurance types were *** with public insurance were more *** increased early(<6 months)rejection rates,1-year patient and graft survival were *** Cox proportional hazards model,male sex,American Indian,Alaskan or Pacific Islander race,public insurance,and frailty category were independent risk factors for death at 1 *** expansion was not associated with graft failure or patient survival(adjusted hazard ratio:1.07;95%CI:0.26-4.41).CONCLUSION Medicaid expansion in Oklahoma is associated with increased KT access for non-White/non-Black and non-United States citizen patients with shorter wait times.1-year graft and patient survival rates were similar before and after *** expansion itself was not independently associated with graft or patient survival *** research is necessary to determine the long-term effects of Medicaid expansion.

关键词： Medicaid expansion Oklahoma Kidney transplant

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Development of Sustainable Wireless Resource model through Shrewd Neural Network

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Data Intelligence 2024年第3期6卷 649-665页

作者： Shahzad Ashraf Furqan Memon Fouzia Akram Zeeshan Rasheed Shahzad sarwar Bhattit Innam Ullah NFC Institute of Engineering and Technology Multan Pakistan DHA Suffa University Karachi Pakistan Mir Chakar khan Rind University Sibi Pakistan Emerson University Multan Pakistan Gachon University Seongnam 13120Republic of Korea

Due to an increasing number of wireless spectrums,the network components are tangling with multiple frequencies and the result create hindrance in resource management *** resource management process,data leakage is one of the sensitive enigma that requires an astute *** all these issues,a sustainable wireless resource management proposal(DSWR-SNN)has been developed by incorporating a shrewd Neural *** resources are managed by testing performance of each network component connected wirelessly through dataset testing which matches the results from the dataset *** performance of the proposed DSWR-SNN method has been compared with state of the art studies Hopfield Neural Network(HNN),Radio Resource Management(RRM),and Deep Q-Network(DQN),and results are evaluated by conducting simulation using Python with TensorFlow based on Bandwidth Utilization,Duplicate Packet Handling,Data Leakage,and Energy *** result illustrates the marvelous performance of the proposed method and effective in addressing the challenges of resource allocation in wireless communication systems.

关键词： Neural network Sustainable resources Dataset testing Dataset corpus,Data leakage

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