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Bedouin farms in the Saint Katherine mountainous area(South Sinai,Egypt)

Journal of mountain Science 2019年第10期16卷 2232-2242页

作者： Kamal H.SHALTOUT Khaled H.EL-HAmDI Safaa A.EL-mASRY Ebrahem m.EID Botany Department Faculty of ScienceTanta UniversityTanta31527Egypt Soil Department Faculty of AgricultureMansoura UniversityMansoura35516Egypt Biology Department College of ScienceKing Khalid UniversityAbha61321P.O.Box9004Saudi Arabia Botany Department Faculty of ScienceKafr El-Sheikh UniversityKafr El-Sheikh33516Egypt

This study aims to assess the natural and cultivated plant species in 26 Bedouin farms in Saint Katherine Protectorate(SKP),identify their soil and water characteristics,and assess the suitability of these farms for the cultivation of some wild medicinal *** farms were selected to represent wide wadis with deep sand and clay deposits,gorge-like wadis covered with rock fragments of different sizes,spot-like oases,and the Al Q’aa *** TWINSPAN(two-way indicator species analysis)and DCA(detrended correspondence analysis)techniques,the 26 farms were classified into 5 groups(Ⅰ-Ⅴ)based on their floristic composition of wild *** groups reflect an elevation gradient among the farms above sea level from a mean of 119 m to a mean of1,865m.A total of 73 wild species were recorded,with47 in groupⅡ(500-1,000 m)and 25 in group V(>1,700 m).The common target species were Artemisia judaica,Acacia tortilis ***,Origanum syriacum *** and Varthemia montana(34.6%-26.9%).The cultivated speciesnumbered 25,with 17 in groupⅡ(500-1,000 m) andⅡin groupⅣ(1,500-1,700 m).The common fruit trees were olive,grape,fig,apple,palm,almond,apricot and pomegranate(73.0%-42.3%).Based on the soil characteristics,13 farms belong to soil class 2that describes good soils with moderate limitations,and 12 belong to soil class 3 that describes moderately good soils,which can be used regularly for crops after proper treatment.

关键词： Agroforestry Saint Katherine Protectorate Wild medicinal plants Elevation gradient multivariate analysis Wadi Feiran

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Feature Subset Selection with Artificial Intelligence-Based Classification model for Biomedical Data

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Computers, materials & Continua 2022年第9期72卷 4267-4281页

作者： Jaber S.Alzahrani Reem m.Alshehri mohammad Alamgeer Anwer mustafa Hilal Abdelwahed motwakel Ishfaq Yaseen Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Computing and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityMahayil62529Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj62529Saudi Arabia

Recently,medical data classification becomes a hot research topic among healthcare professionals and research communities,which assist in the disease diagnosis and decision making *** latest developments of artificial intelligence(AI)approaches paves a way for the design of effective medical data classification *** the same time,the existence of numerous features in the medical dataset poses a curse of dimensionality *** resolving the issues,this article introduces a novel feature subset selection with artificial intelligence based classification model for biomedical data(FSS-AICBD)*** FSS-AICBD technique intends to derive a useful set of features and thereby improve the classifier ***,the FSS-AICBD technique undergoes min-max normalization technique to prevent data *** addition,the information gain(IG)approach is applied for the optimal selection of feature ***,group search optimizer(GSO)with deep belief network(DBN)model is utilized for biomedical data classification where the hyperparameters of the DBN model can be optimally tuned by the GSO *** choice of IG and GSO approaches results in promising medical data classification *** experimental result analysis of the FSS-AICBD technique takes place using different benchmark healthcare *** simulation results reported the enhanced outcomes of the FSS-AICBD technique interms of several measures.

关键词： medical data classification feature selection deep learning healthcare sector artificial intelligence

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土壤压实度对马铃薯块茎工程性能的影响

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农业工程技术 2020年第24期 86-86页

作者： mohamed K.Edrris khalid A.Al-Gaadi Abdalhaleem A.Hassaballa El Kamil Tola khalid A.m.Ahmed Precision Agriculture Research Chair King Saud University Department of Agricultural Engineering College of Food and Agriculture Sciences King Saud University Department of Agricultural & Biological Engineering Faculty of Engineering Khartoum University Chair of Dates Industry and Technology King Saud University

在30hm;的场地上评估土壤压实度的变异性,并研究了其对马铃薯块茎形状和关键尺度（长度、宽度和厚度）的工程特性以及贯入阻力、破裂和剪切性能的影响。通过线性回归和ANOVA测试,研究了3种土壤压实度与马铃薯块茎工程性状的空间相关性... 详细信息

在30hm;的场地上评估土壤压实度的变异性,并研究了其对马铃薯块茎形状和关键尺度（长度、宽度和厚度）的工程特性以及贯入阻力、破裂和剪切性能的影响。通过线性回归和ANOVA测试,研究了3种土壤压实度与马铃薯块茎工程性状的空间相关性。三个压实度分别包括介于1.2-1.9mPa之间的较低等级（C1）,介于2.0-2.3mPa之间的中等等级（C2）,和介于2.4-2.9mPa之间的较高等级（C3）。结果表明,关键块茎尺寸并没有因土壤压实度的变异性而发生显著变化。然而,土壤压实度与长、宽、厚的关键块茎尺寸之间存在R2值分别为77%、97%和96%的负线性关系。同样地,土壤压实度对块茎抗压缩和剪切力性能没有影响。相比之下,块茎抗渗透力受到土壤压实（p>F=0.0012）的影响显著。

关键词：压实度马铃薯块茎精准农业马铃薯工程性能

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Fuzzy Based Reliable Load Balanced Routing Approach for Ad hoc Sensor Networks

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Computer Systems Science & Engineering 2022年第6期41卷 861-874页

作者： J.V.Anchitaalagammai Rajesh Verma m.Kavitha A.R.Revathi S.R.Preethi Kiranmai Bellam Department of Computer Science and Engineering Velammal College of Engineering and TechnologyMadurai625009TamilNaduIndia Department of Electrical Engineering King Khalid UniversityAbha62529Saudi Arabia Department of Electronics and Communication Engineering K.Ramakrishnan College of TechnologyTiruchirappalli621112Tamil NaduIndia Department of Information Technology SRM Valliammai Engineering CollegeChennai603203Tamil NaduIndia Department of Electronics and Communication Engineering SRM Valliammai Engineering CollegeChennai603203Tamil NaduIndia Department of Computer Science Prairie View A&M UniversityPrairie ViewTXUnited State

Energy management and packet delivery rate are the important factors in ad hoc *** is the major network where nodes share the information without *** to the mobility of nodes,maximum energy is spent on transmission of *** energy is wasted on packet dropping and false route *** this research work,Fuzzy Based Reliable Load Balanced Routing Approach(RLRA)is proposed to provide high energy efficiency and more network lifetime using optimal multicast route discovery *** contains three *** first phase,optimal multicast route discovery is initiated to resolve the link *** second phase,the link quality is estimated and set to threshold value to meet the requirements of high energy *** third phase,energy model is shown to obtain total energy of network after transmission of packets.A multicast routing is established Based on path reliability and fault tolerant calculation is done and integrated with multicast *** routes can withstand the malicious *** decision model is integrated with propose protocol to decide the performance of network *** network simulation tool is used for evaluating the RLRA with existing schemes and performance of RLRA is good compared to others.

关键词： Fuzzy model link quality multicast route energy model cluster group node lifetime

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Intelligent Aquila Optimization Algorithm-Based Node Localization Scheme for Wireless Sensor Networks

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Computers, materials & Continua 2023年第1期74卷 141-152页

作者： Nidhi Agarwal m.Gokilavani S.Nagarajan S.Saranya Hadeel Alsolai Sami Dhahbi Amira Sayed Abdelaziz Department of Information Technology KIET Group of InstitutionsDelhi201206India Department of Computer Science and Engineering Indira Gandhi Delhi Technical University for WomenNew DelhiDelhi110006India Department of Computer Science and Engineering KL UniversityVaddeswaramAndhra Pradesh522502India Department of Electronics&Communication Engineering Saveetha Engineering CollegeChennai602105India Department of Computer Science and Engineering K.Ramakrishnan College of EngineeringTiruchirapalli621112India Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Digital media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

In recent times,wireless sensor network(WSN)finds their suitability in several application areas,ranging from military to commercial *** nodes in WSN are placed arbitrarily in the target field,node localization(NL)becomes essential where the positioning of the nodes can be determined by the aid of anchor *** goal of any NL scheme is to improve the localization accuracy and reduce the localization error *** this motivation,this study focuses on the design of Intelligent Aquila Optimization Algorithm Based Node Localization Scheme(IAOAB-NLS)for *** presented IAOAB-NLS model makes use of anchor nodes to determine proper positioning of the *** addition,the IAOAB-NLS model is stimulated by the behaviour of *** IAOAB-NLS model has the ability to accomplish proper coordinate points of the nodes in the *** guaranteeing the proficient NL process of the IAOAB-NLS model,widespread experimentation takes place to assure the betterment of the IAOAB-NLS *** resultant values reported the effectual outcome of the IAOAB-NLS model irrespective of changing parameters in the network.

关键词： Aquila optimizer node localization WSN intelligent models unknown nodes anchor nodes

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IRKO:An Improved Runge-Kutta Optimization Algorithm for Global Optimization Problems

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Computers, materials & Continua 2022年第3期70卷 4803-4827页

作者： R.manjula Devi m.Premkumar Pradeep Jangir mohamed Abdelghany Elkotb Rajvikram madurai Elavarasan Kottakkaran Sooppy Nisar Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Electrical&Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia Rajasthan Rajya Vidyut Prasaran Nigam Sikar332025RajasthanIndia mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia mechanical Engineering Department Faculty of EngineeringKafrelsheikh UniversityEgypt Clean and Resilient Energy Systems(CARES)Laboratory Texas A&MUniversityGalveston77553TXUSA College of Arts and Sciences Prince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

Optimization is a key technique for maximizing or minimizing functions and achieving optimal cost,gains,energy,mass,and so *** order to solve optimization problems,metaheuristic algorithms are *** of these techniques are influenced by collective knowledge and natural *** is no such thing as the best or worst algorithm;instead,there are more effective algorithms for certain ***,in this paper,a new improved variant of a recently proposed metaphorless Runge-Kutta Optimization(RKO)algorithm,called Improved Runge-Kutta Optimization(IRKO)algorithm,is suggested for solving optimization *** IRKO is formulated using the basic RKO and local escaping operator to enhance the diversification and intensification capability of the basic RKO *** performance of the proposed IRKO algorithm is validated on 23 standard benchmark functions and three engineering constrained optimization *** outcomes of IRKO are compared with seven state-of-the-art algorithms,including the basic RKO *** to other algorithms,the recommended IRKO algorithm is superior in discovering the optimal results for all selected optimization *** runtime of IRKO is less than 0.5 s for most of the 23 benchmark problems and stands first for most of the selected problems,including real-world optimization problems.

关键词： Engineering design global optimization local escaping operator metaheuristics Runge-Kutta optimization algorithm

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Abscess of the caudate lobe of the liver, a rare disease with a challenging management: a case report

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The Journal of Biomedical Research 2013年第5期27卷 430-434页

作者： Nasser A. Al Amer Walid m. Abd El maksoud Consultant of General Surgery Aseer Central Hospital Assistant Professor General Surgery Department Faculty of Medicine King Khalid University

We reported a rare case of abscess of the caudate lobe of the liver in a 60-year old man. We first tried computed tomography （CT） guided percutaneous drainage of the abscess but failed to eradicate the infection. Deterioration of the general condition of the patient necessitated open surgical drainage, which resulted in cure of the abscess. The peculiar anatomical location of caudate lobe abscess introduces a great challenge for the surgeon in plan- ning the appropriate management and paucity of patients with caudate lobe abscess has led to lack of guidelines for management. The non-operative interventional radiology approach has become the therapeutic choice for pyo- genic liver abscess, but is it applicable also for caudate lobe abscess？

关键词： caudate lobe percutaneous drainage open surgical drainage pyogenic liver abscess

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Potential detoxification of aflatoxin B2 using Kluyveromyces lactis and Saccharomyces cerevisiae integrated nanofibers

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BIOCELL 2017年第2期41卷 67-73页

作者： mAHmOUD mOUSTAFA TAREK TAHA mOHAmED ELNOUBY NEHAL EL-DEEB GAmAL HAmAD m.A.ABUSAIED SULAImAN ALRUmmAN Department of Biology College of ScienceKing Khalid University9004AbhaKingdom of Saudi Arabia(KSA) Botany Department Faculty of ScienceSouth Valley UniversityQenaEgypt Environmental Biotechnology Department Genetic Engineering and Biotechnology Research Institute(GEBRI)City of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab City21934AlexandriaEgypt Composite and Nanostructured materials Research Department Advanced Technology and New Materials Research InstituteCity of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab City21934AlexandriaEgypt Department of Biopharmaceutical Product Research Genetic Engineering and Biotechnology Research Institute(GEBRI)City of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab City21934AlexandriaEgypt Food Technology Department Arid Land Cultivation Research Institute(ALCRI)City of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab City21934AlexandriaEgypt Polymer materials Research Department Advanced Technology and New Materials Research InstituteCity of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab City21934AlexandriaEgypt

Current investigation has shown that human exposure to aflatoxins is not limited to the administration of contaminated cereals,but water is another possible *** study was aimed to design easily applicable method to eliminate aflatoxin B2(AFB2)from contaminated drinking *** has been used for preparation of probiotic-coated polyvinyl alcohol(PVA)and cellulose acetate(CA)*** of these hybrid nanofibers were studied by scanning electron microscopy(SEm)and Fourier-transformed infrared spectroscopy(FT-IR).SEm showed the proper coating of probiotic strains(Kluyveromyces lactis CBS 2359 and Saccharomyces cerevisiae ATCC 9763)on both nanofiber *** areas(1-5 cm^(2))of the probiotic-nanofiber hybrid were used to enhance the removal of 20 ng/ml of aflatoxin B2(AFB2)from prepared AFB2-contaminated water over *** revealed that a 5 cm^(2) area of probiotic-coated PVA nanofibers can eliminate 97.5% of AFB2 as compared to 87.5%,90.5%,93.5%,and 95.5%,for 1 cm2,2 cm^(2),3 cm^(2),and 4 cm^(2),respectively,while probiotic-coated CA nanofibers were slightly less ***,the cytotoxicity of probiotics-CA treated water on cultured human fibroblasts was almost 10 times lower than the cytotoxicity recorded in probiotics-PVA treated ***,results of the current research suggest that probiotics-polymer nanofiber membranes can be used as an extra stage in the water purification system for the treatment of AFB2-contaminated water.

关键词： Nanofibers Aflatoxin B2 Cytotoxicity Water treatment

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Energy Aware Data Collection with Route Planning for 6G Enabled UAV Communication

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Computers, materials & Continua 2022年第4期71卷 825-842页

作者： mesfer Al Duhayyim marwa Obayya Fahd N.Al-Wesabi Anwer mustafa Hilal mohammed Rizwanullah majdy m.Eltahir Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems King Khalid UniversityMuhayel AseerSaudi Arabia

With technological advancements in 6G and Internet of Things(IoT), the incorporation of Unmanned Aerial Vehicles (UAVs) and cellularnetworks has become a hot research topic. At present, the proficient evolution of 6G networks allows the UAVs to offer cost-effective and timelysolutions for real-time applications such as medicine, tracking, surveillance,etc. Energy efficiency, data collection, and route planning are crucial processesto improve the network communication. These processes are highly difficultowing to high mobility, presence of non-stationary links, dynamic topology,and energy-restricted UAVs. With this motivation, the current research paperpresents a novel Energy Aware Data Collection with Routing Planning for6G-enabled UAV communication (EADCRP-6G) technique. The goal of theproposed EADCRP-6G technique is to conduct energy-efficient cluster-baseddata collection and optimal route planning for 6G-enabled UAV ***-6G technique deploys Improved Red Deer Algorithm-based Clustering (IRDAC) technique to elect an optimal set of Cluster Heads (CH) andorganize these clusters. Besides, Artificial Fish Swarm-based Route Planning(AFSRP) technique is applied to choose an optimum set of routes for UAVcommunication in 6G networks. In order to validated whether the proposedEADCRP-6G technique enhances the performance, a series of simulationswas performed and the outcomes were investigated under different *** experimental results showcase that the proposed model outperformed allother existing models under different evaluation parameters.

关键词： Unmanned aerial vehicle 6G networks artificial intelligence energy efficiency clustering route planning data collection metaheuristics

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Influence of Recycling Waste Glass as Fine Aggregate on the Concrete Properties

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Journal of Renewable materials 2023年第6期11卷 2925-2940页

作者： Rafal A.Hadi Suhad m.Abd Hadee mohammed Najm Shaker Qaidi moutaz mustafa A.Eldirderi Khaled mohamed Khedher Department of Civil Engineering Bilad Alrafidain University CollegeDiyala32001Iraq Department of Civil Engineering College of EngineeringUniversity of DiyalaDiyala32001Iraq Department of Civil Engineering Zakir Husain Engineering CollegeAligarh Muslim UniversityAligarh202002India Department of Civil Engineering College of EngineeringUniversity of DuhokDuhok42001Iraq Department of Civil Engineering College of EngineeringNawroz UniversityDuhok42001Iraq Department of Chemical Engineering College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Department of Civil Engineering College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Department of Civil Engineering High Institute of Technological StudiesMrezgua University CampusNabeul8000Tunisia

Recent years have witnessed an increase in the quantity of waste glass(WG)across the *** the fine aggregate with WG is one of the steps toward preserving the natural resources of the environment and creating low-cost *** present study is concerned with replacing fine aggregates with glass powder(GP)at(0%,15%,30%,and 50%).It has studied the fresh and hardened properties(compressive strength,tensile strength,hardened density,and slump)for all the mentioned percent *** findings have shown that all mixtures containing GP gave acceptable slump results within the design limits(2–5 cm)according to ACI standard *** has been observed that increasing the proportion of GP led to a decrease in the weight of ***,replacing GP with sand by 30%has led to an increase in the compressive strength by about 2.4%and 12.45%,and the tensile strength by about 2.5%and 26.54%at 7-and 28-d,respectively in comparison to normal concrete.

关键词： Sustainable concrete glass powder fine aggregate partial replacement

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