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Evaluation of Cobalt Application Combined with Gypsum and Compost as a Regulator of Cabbage Plant Tolerance to Soil Salinity

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Open Journal of Ecology 2023年第12期13卷 914-930页

作者： Abd-Elbaset A. Alkharpotly Mohamed A. E. Soliman Mohamed A. El-Sherpiny Ahmed G. Baddour Dina A. Ghazi Zinab A. Abdelgawad Mohamed A. Abdein fahad mohammed alzuaibr Abdulrahman Alasmari Abdulaziz Albogami Mesfer M. Alqahtani Hebat-Allah A. Hussein Fatma M. A. Elkady Mohamed F. M. Abdelkader Horticulture Department Faculty of Agriculture and Natural Resources Aswan University Aswan Egypt Horticulture Department Faculty of Desert and Environmental Agricultural Matrouh University Mersa Matruh Egypt Soil and Water Department Faculty of Agriculture Damietta University Damietta Egypt Soil & Water and Environment Research Institute Agriculture Research Center Giza Egypt Soil Sciences Department Faculty of Agriculture Mansoura University Mansoura Egypt Botany Department Women’s College Ain Shams University Cairo Egypt Seeds Development Department El-Nada Misr Scientific Research and Development Projects Turrell Mansoura Egypt Biology Department College of Science University of Tabuk Tabuk Saudi Arabia Biology Department Faculty of Science Al-Baha University Alaqiq Saudi Arabia Department of Biological Sciences Faculty of Science and Humanities Shaqra University Ad-Dawadimi Saudi Arabia Biology Department University College of Nairiyah University of Hafr Al Batin (UHB) Nairiyah Saudi Arabia Botany Department National Research Center Cairo Egypt Department of Plant Production College of Food and Agriculture King Saud University Riyadh Saudi Arabia

In response to the global food crisis and the imperative to address soil degradation, the international agricultural policy is actively working to alleviate the adverse impacts of soil salinity. As part of this initiative, a field trial spanning two consecutive seasons (2019/20-2020/21) was conducted under saline conditions. The primary objective was to evaluate the influence of various compost sources, including vermicompost at a rate of 0.5 ton·fed-1 and plant residues compost at a rate of 5.0 ton·fed-1, as main plots. Subplots were established by applying agricultural gypsum, both in the presence and absence of gypsum requirements. Additionally, sub-subplots were created by externally applying cobalt at a rate of 10.0 mg·L-1, with one sub-subplot receiving foliar cobalt application and the other not. The trial sought to assess the growth performance, chemical composition, enzymatic antioxidants, yield, and quality of cabbage plants (Brassica oleracea var. capitata L.) cultivated in saline soil. According to the findings, cabbage plants exhibited the most favorable response in terms of plant height, chlorophyll content, carotene levels, leaf area, nitrogen (N), phosphorus (P), potassium (K), head yield, vitamin C, and total dissolved solids (TDS) when treated with vermicompost, followed by plant compost. Conversely, plants grown without compost exhibited the least improvement in performance. Cabbage treated with agricultural gypsum requirements showed better performance than those without gypsum amendment. Moreover, plants subjected to cobalt spray demonstrated the highest growth, yield, and quality parameters compared to those without cobalt foliar application. In contrast, the control group (plants without the studied treatments) displayed the highest levels of enzymatic antioxidants, specifically catalase and peroxidase. This indicates that soil salinity stress led to an increase in catalase and peroxidase production in cabbage

关键词： Vermicompost Plant Compost Gypsum Requirements Cobalt Soil Health and Crop Sustainability

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On Single Valued Neutrosophic Regularity Spaces

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1625-1648页

作者： Yaser Saber fahad Alsharari Florentin Smarandache mohammed Abdel-Sattar Department of Mathematics College of Science and Human StudiesHotat SudairMajmaah UniversityMajmaah11952Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityAssiut71524Egypt Department of Mathematics University of New MexicoGallupNM87301USA Department of Mathematics College of Science and Arts King Khaled UniversityMhayal Asier61913Saudi Arabia Department of Mathematics and Computer Science Faculty of ScienceBeni-Suef UniversityBeni-Suef62511Egypt Department of Mathematics College of Science and ArtsJouf UniversityGurayat77455Saudi Arabia

This article aims to present new terms of single-valued neutrosophic notions in theˇSostak sense,known as singlevalued neutrosophic regularity *** such as r-single-valued neutrosophic semi￡-open,r-single-valued neutrosophic pre-￡-open,r-single valued neutrosophic regular-￡-open and r-single valued neutrosophicα￡-open are defined and their properties are studied as well as the relationship between ***,we introduce the concept of r-single valued neutrosophicθ￡-cluster point and r-single-valued neutrosophicγ￡-cluster point,r-θ￡-closed,andθ￡-closure operators and study some of their ***,we present and investigate the notions of r-single-valued neutrosophicθ￡-connectedness and r-single valued neutrosophicδ￡-connectedness and investigate relationship with single-valued neutrosophic almost￡-*** compare all these forms of connectedness and investigate their properties in single-valued neutrosophic semiregular and single-valued neutrosophic almost regular in neutrosophic ideal topological spaces inˇSostak *** usefulness of these concepts are incorporated to multiple attribute groups of comparison within the connectedness and separateness ofθ￡andδ￡.

关键词： Single valued neutrosophicθ￡-closed single valued neutrosophicθ￡-separated single valued neutrosophicδ￡-separated single-valued neutrosophicδ￡-connected single valued neutrosophicδ￡-connected single valued neutrosophic almost￡-egular

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Feasibility Study for a Hybrid Power Plant(PV-Wind-Diesel-Storage)Connected to the Electricity Grid

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Fluid Dynamics & Materials Processing 2022年第6期18卷 1607-1617页

作者： fahad Maoulida Kassim Mohamed Aboudou Djedjig Rabah mohammed El-Ganaoui Laboratory LEMAFaculty of Sciences and TechniquesUniversity of ComorosMoroniComoros Laboratory LERMABIUT Henri Poincaréof LongwyUniversity of LorraineNancyFrance IREMIS Institute CUFRUniversity of MayotteDembeni MayotteFrance

In this work,we present a feasibility study for a new hybrid power plant(PV-Wind-Diesel-Storage)directly connected to the electrical *** simulations are performed to verify the performance of the hybrid system under different scenarios using real meteorological *** is shown that the performances of the hybrid system connected to the electrical network depend obviously on the available energy resources and constraints because the renewable energies are *** addition,the price of the kWh of electricity supplied by the hybrid system is determined,which amounts to$0.209/kWh,which is very cost effective and satisfactory for the considered sample conditions(Comoros Island).

关键词： Hybrid energy renewable energy HOMER connected grid

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Automated Handwriting Recognition and Speech Synthesizer for Indigenous Language Processing

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Computers, Materials & Continua 2022年第8期72卷 3913-3927页

作者： Bassam A.Y.Alqaralleh fahad Aldhaban Feras mohammed A-Matarneh Esam A.AlQaralleh MIS Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia Department of Computer Science University College of DubaUniversity of Tabuk71491Saudi Arabia School of Engineering Princess Sumaya University for TechnologyAmman11941Jordan

In recent years,researchers in handwriting recognition analysis relating to indigenous languages have gained significant internet among research *** recent developments of artificial intelligence(AI),natural language processing(NLP),and computational linguistics(CL)find useful in the analysis of regional low resource *** lexical task participation might be elaborated to various applications in the *** is apparent from the availability of effective machine recognition models and open access handwritten *** language is a commonly spoken Semitic language,and it is written with the cursive Arabic alphabet from right to *** handwritten Character Recognition(HCR)is a crucial process in optical character *** this view,this paper presents effective Computational linguistics with Deep Learning based Handwriting Recognition and Speech Synthesizer(CLDL-THRSS)for Indigenous *** presented CLDL-THRSS model involves two stages of operations namely automated handwriting recognition and speech ***,the automated handwriting recognition procedure involves preprocessing,segmentation,feature extraction,and ***,the Capsule Network(CapsNet)based feature extractor is employed for the recognition of handwritten Arabic *** optimal hyperparameter tuning,the cuckoo search(CS)optimization technique was included to tune the parameters of the CapsNet ***,deep neural network with hidden Markov model(DNN-HMM)model is employed for the automatic speech *** validate the effective performance of the proposed CLDL-THRSS model,a detailed experimental validation process takes place and investigates the outcomes interms of different *** experimental outcomes denoted that the CLDL-THRSS technique has demonstrated the compared methods.

关键词： Computational linguistics handwriting character recognition natural language processing indigenous language

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Artificial lift system optimization using machine learning applications

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Petroleum 2022年第2期8卷 219-226页

作者： fahad I.Syed mohammed Alshamsi Amirmasoud K.Dahaghi S.Neghabhan University of Kansas&ADNOC Offshore Dept.of Chemical and Petroleum E…Lawrence66045USA

Currently,in the oil industry,artificial lift optimization(ALO)systems are dealing with different applications including well monitor and control,reservoir management,production optimization,predictive maintenance,artificial lift,and flow assurance,multiphase pumping systems,*** scope of this article is to provide a detailed analysis of ALO and predictive pump maintenance applications using machine learning(ML)and artificial intelligence(AI).The oil and gas industry has experienced a lot of improvements that have impacted the businesses and economies associated with the market in recent *** such as unplanned shutdown time and failure of equipment cause a huge impact on many corporations especially with the current fluctuations in hydrocarbon ***,advanced modern technologies such as real-time analysis and predictive maintenance are designed to drive ALO *** paper covers several applications and techniques in which ML and AI have been applied to optimize hydrocarbon withdrawal from potentially depleted reservoirs that require some external supports to uplift the reservoir fluid from sub surface to surface using artificial lift *** a nutshell,the applications of AI and ML for the artificial lift selection,their predictive maintenance,equipment malfunctioning detection,*** a self-trained system are the main topics of this *** reviewing each of these techniques,the workflow is also explained along with the effectiveness of utilizing each application to the current operations.

关键词： Artificial lift optimization Predictive maintenance

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Pharmacokinetic interaction of Acacia catechu with CYP1A substrate theophylline in rabbits

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Journal of Traditional Chinese Medicine 2015年第5期35卷 588-593页

作者： Abdullah mohammed AI-Mohizea Mohammad Raish Abdul Ahad fahad Ibrahim AI-Jenoobi Mohd Aftab Alam Department of Pharmaceutics College of PharmacyKing Saud University

OBJECTIVE:To investigate the effect of black catechu(BC) on the pharmacokinetics of theophylline(CYP1A2 substrate,with narrow therapeutic index)in ***:In the present investigation the effect of BC on the pharmacokinetics of theophylline,a CYP1A2 substrate was *** the study,BC(264 mg/kg,p.o.) or saline(control group) was given to rabbits for 7 consecutive days and on the 8^(th)day theophylline(16 mg/kg) was administered orally one hour after BC or saline *** samples were withdrawn at different time intervals(0.5,1,1.5,2,3,4,6,8,12,24 and 36 h) from the marginal ear ***:The pretreatment of rabbits with BC resulted in a significant increase in maximum blood concentration,time of peak concentration and area under the concentration time profile curve until last observation which was about 41.32%,35.71%and 15.03%,*** decreases in clearance,volume of distribution,and half-life were *** is suggested that BC pretreatment decreases the CYP1 A metabolic activity leading to increase in bioavailability and decrease in oral clearance of theophylline,which may be due to inhibition of CYP1 ***:BC can significantly alter theophylline pharmacokinetics in vivo possibly due to inhibition of CYP1 A and P-glycoprotein *** on these results,precaution should be exercised when administering BC with CYP1 A substrate.

关键词： Acacia Catechu Cytochromes Herbdrug interactions Pharmacokinetics Theophylline

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Enhancing Parkinson’s Disease Prediction Using Machine Learning and Feature Selection Methods

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Computers, Materials & Continua 2022年第6期71卷 5639-5657页

作者： Faisal Saeed Mohammad Al-Sarem Muhannad Al-Mohaimeed Abdelhamid Emara Wadii Boulila mohammed Alasli fahad Ghabban College of Computer Science and Engineering Taibah UniversityMedina41477Saudi Arabia School of Computing and Digital Technology Birmingham City UniversityBirminghamB47XGUnited Kingdom Information System Department Saba’a Region UniversityMareebYemen Computers and Systems Engineering Department Al-Azhar UniversityCairo11884Egypt RIADI Laboratory National School of Computer SciencesUniversity of ManoubaManouba2010Tunisia

Several millions of people suffer from Parkinson’s disease ***’s affects about 1%of people over 60 and its symptoms increase with *** voice may be affected and patients experience abnormalities in speech that might not be noticed by listeners,but which could be analyzed using recorded speech *** the huge advancements of technology,the medical data has increased dramatically,and therefore,there is a need to apply data mining and machine learning methods to extract new knowledge from this *** classification methods were used to analyze medical data sets and diagnostic problems,such as Parkinson’s Disease(PD).In addition,to improve the performance of classification,feature selection methods have been extensively used in many *** paper aims to propose a comprehensive approach to enhance the prediction of PD using several machine learning methods with different feature selection methods such as filter-based and *** dataset includes 240 recodes with 46 acoustic features extracted from3 voice recording replications for 80 *** experimental results showed improvements when wrapper-based features selection method was used with K-NN classifier with accuracy of 88.33%.The best obtained results were compared with other studies and it was found that this study provides comparable and superior results.

关键词： Filter-based feature selection methods machine learning parkinson’s disease wrapper-based feature selection methods

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Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores

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Computers, Materials & Continua 2024年第7期80卷 1277-1304页

作者： Shazielya Shamsul mohammed A.H.Ali Salwa Hanim Abdul-Rashid Atef M.Ghaleb fahad M.Alqahtani Department of Mechanical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Centre for Sustainable and Smart Manufacturing(CSSM) Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Industrial Engineering College of EngineeringAlfaisal UniversityRiyadh11533Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout *** is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID *** enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout *** potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL ***,it was deployed in a small-scale environment to validate its real-world *** show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.

关键词： Smart checkout system RFID technology improved laser simulator logic(ILSL) reduce noise checkout process

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Construction and Optimization of TRNG Based Substitution Boxes for Block Encryption Algorithms

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Computers, Materials & Continua 2022年第11期73卷 2679-2696页

作者： Muhammad fahad Khan Khalid Saleem mohammed Alotaibi Mohammad Mazyad Hazzazi Eid Rehman Aaqif Afzaal Abbasi Muhammad Asif Gondal Quaid e Azam University Islamabad45320Pakistan Foundation University Islamabad Islamabad44000Pakistan College of Business Administration University of TabukTabuk71491Saudi Arabia Department of Mathematics College of ScienceKing Khalid UniversityAbha61413Saudi Arabia Department of Mathematics and Sciences Dhofar UniversitySalalah211Oman

Internet of Things is an ecosystem of interconnected devices that are accessible through the *** recent research focuses on adding more smartness and intelligence to these edge *** makes them susceptible to various kinds of security *** edge devices rely on cryptographic techniques to encrypt the pre-processed data collected from the sensors deployed in the *** this regard,block cipher has been one of the most reliable options through which data security is *** strength of block encryption algorithms against different attacks is dependent on its nonlinear primitive which is called Substitution *** the design of S-boxes mainly algebraic and chaos-based techniques are used but researchers also found various weaknesses in these *** the other side,literature endorse the true random numbers for information security due to the reason that,true random numbers are purely *** this paper firstly a natural dynamical phenomenon is utilized for the generation of true random numbers based ***,a systematic literature review was conducted to know which metaheuristic optimization technique is highly adopted in the current decade for the optimization of *** on the outcome of Systematic Literature Review(SLR),genetic algorithm is chosen for the optimization of *** results of our method validate that the proposed dynamic S-boxes are effective for the block ***,our results showed that the proposed substitution boxes achieve better cryptographic strength as compared with state-of-the-art techniques.

关键词： IoT security sensors data encryption substitution box generation True Random Number Generators(TRNG) heuristic optimization genetic algorithm

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Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali Syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

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