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Impact of soil compaction on the engineering properties of potato tubers

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International Journal of Agricultural and Biological Engineering 2020年第2期13卷 163-167页

作者： Mohamed K.Edrris khalid A.al-Gaadi Abdalhaleem A.Hassaballa ElKamil Tola khalid A.M.Ahmed Precision Agriculture Research Chair King Saud UniversityRiyadh 11451Saudi Arabia Department of Agricultural Engineering College of Food and Agriculture SciencesKing Saud UniversityRiyadh 11451Saudi Arabia Department of Agricultural&Biological Engineering Faculty of EngineeringKhartoum UniversityKhartoumSudan Chair of Dates Industry and Technology King Saud UniversityRiyadh 11451Saudi Arabia

A study on a 30 hm2 field was conducted to assess the variability in soil compaction and to investigate its effect on the engineering properties of potato tubers in terms of tuber shape and key dimensions(length,width and thickness)and resistance to penetration,rupture and shear *** soil compaction levels were spatially correlated with the engineering properties of potato tubers through linear regression and ANOVA *** three compaction levels included a low level(C1)ranging between 1.2-1.9 MPa,a medium level(C2)with compaction levels between 2.0-2.3 MPa and a high level(C3)ranging between 2.4-2.9 *** revealed that there were no significant changes in the key tuber dimensions corresponding to the variability in soil ***,inverse linear relationships were observed between soil compaction and the key tuber dimensions with R2 values of 77%,97%and 96%for length,width and thickness,***,the soil compaction was shown to have no effect on the tuber resistance to compression and shear *** contrast,the tuber resistance to penetration was significantly affected by soil compaction(p>F=0.0012).

关键词： compaction potato tubers precision agriculture potato engineering properties

Types of Irrigation Water and Soil Amendment Affect the Growth and Flowering of Petunia x alkinsiana ‘Bravo Pinc’

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Phyton-International Journal of Experimental Botany 2023年第2期92卷 487-499页

作者： Abdullah M.algahtani Fahed A.al-Mana khalid M.Elhindi Department of Plant Production College of Food and Agriculture SciencesKing Saud UniversityRiyadh11671Saudi Arabia Department of Vegetable and Floriculture Faculty of AgricultureMansoura UniversityMansoura35516Egypt

Water insufficiency is the hampering feature of crop sustainability,especially in arid and semi-arid ***,the effectual usage of all water resources especially underground brackish water represents the core priority in Saudi *** present study aimed to recognize the influence of different types of water irrigation(tap water as a control,salinized well water,and magnetized salinized well water)with or without soil amendments(soil without any amendment as a control,peat-moss,ferrous sulfate,and peat-moss plus ferrous sulfate)on petunia plant growth and flowering as well as ion *** Petunia plants with saline well water adversely affected growth and flowering as compared to tap water and magnetized saline well ***,plants irrigated with magnetized water showed a significant enhancement in all the studied vegetative and flowering growth parameters as compared to those irrigated with salinized well ***,mineral contents and survival of Petunia plants irrigated with magnetized well water were higher than those irrigated with tap *** with magnetized well water significantly reduced levels of Na+and Cl−ions in leaves of Petunia plants indicating the role of magnetization in alleviating harmful effects of *** conclusion,we recommend the utilization of magnetized saline well water for irrigating Petunia plants either alone or in combination with soil amendments(peat moss plus ferrous sulfate).

关键词： Flowering magnetization petunia saline water soil amendment

Cobalt Sulfide Confined in N-Doped Porous Branched Carbon Nanotubes for Lithium-Ion Batteries

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Nano-Micro Letters 2019年第2期11卷 157-165页

作者： Yongsheng Zhou Yingchun Zhu Bingshe Xu Xueji Zhang khalid A.al.Ghanim Shahid Mahboob College of Chemistry and Materials Engineering Anhui Science and Technology UniversityBengbu 233030People’s Republic of China Key Laboratory of Inorganic Coating Materials CAS Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050People’s Republic of China Key Laboratory of Interface Science and Engineering in Advanced Materials Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024People’s Republic of China Beijing Key Laboratory for Bioengineering and Sensing Technology Research Center for Bioengineering and Sensing TechnologySchool of Chemistry and BioengineeringUniversity of Science and Technology Beijing30 Xueyuan RoadHaidian DistrictBeijing 100083People’s Republic of China Department of Zoology College of ScienceKing Saud UniversityRiyadhSaudi Arabia Department of Zoology GC UniversityFaisalabadPakistan

Lithium-ion batteries(LIBs) are considered new generation of large-scale energy-storage ***,LIBs suffer from a lack of desirable anode materials with excellent specific capacity and cycling *** this work,we design a novel hierarchical structure constructed by encapsulating cobalt sulfide nanowires within nitrogen-doped porous branched carbon nanotubes(NBNTs)for *** unique hierarchical Co9S8@NBNT electrode displayed a reversible specific capacity of 1310 mAhg-1 at a current density of 0.1 Ag-1,and was able to maintain a stable reversible discharge capacity of 1109 mAhg-1 at a current density of 0.5 Ag-1 with coulombic efficiency reaching almost 100% for 200 *** excellent rate and cycling capabilities can be ascribed to the hierarchical porosity of the one-dimensional Co9S8@NBNT internetworks,the incorporation of nitrogen doping,and the carbon nanotube confinement of the active cobalt sulfide nanowires offering a proximate electron pathway for the isolated nanoparticles and shielding of the cobalt sulfide nanowires from pulverization over long cycling periods.

关键词： Lithium-ion batteries Nitrogen doping Cobalt sulfide Branched carbon nanotubes

MIoT Based Skin Cancer Detection Using Bregman Recurrent Deep Learning

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Computers, Materials & Continua 2022年第12期73卷 6253-6267页

作者： Nithya Rekha Sivakumar Sara Abdelwahab Ghorashi Faten khalid Karim Eatedal alabdulkreem Amal al-Rasheed Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Mobile clouds are the most common medium for aggregating,storing,and analyzing data from the medical Internet of Things(MIoT).It is employed to monitor a patient’s essential health signs for earlier disease diagnosis and *** the various disease,skin cancer was the wide variety of cancer,as well as enhances the endurance *** recent years,many skin cancer classification systems using machine and deep learning models have been developed for classifying skin tumors,including malignant melanoma(MM)and other skin ***,accurate cancer detection was not performed with minimum time *** order to address these existing problems,a novel Multidimensional Bregman Divergencive Feature Scaling Based Cophenetic Piecewise Regression Recurrent Deep Learning Classification(MBDFS-CPRRDLC)technique is introduced for detecting cancer at an earlier *** MBDFS-CPRRDLC performs skin cancer detection using different layers such as input,hidden,and output for feature selection and *** patient information is composed of *** patient information was stored in mobile clouds server for performing predictive *** collected data are sent to the recurrent deep learning *** the first hidden layer,the feature selection process is carried out using the Multidimensional Bregman Divergencive Feature Scaling technique to find the significant features for disease identification resulting in decreases time *** by,the disease classification is carried out in the second hidden layer using cophenetic correlative piecewise regression for analyzing the testing and training *** process is repeatedly performed until the error gets *** this way,disease classification is accurately performed with higher *** evaluation is carried out for factors namely Accuracy,precision,recall,F-measure,as well as cancer detection time,by the amount of patient *** observed result confirms that the pr

关键词： MIoT skin cancer detection recurrent deep learning classification multidimensional bregman divergencive scaling cophenetic correlative piecewise regression

Protective effect of Cardiospermum halicacabum leaf extract on glycoprotein components on STZ-induced hyperglycemic rats

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Asian Pacific Journal of Tropical Medicine 2012年第12期5卷 939-944页

作者： Chinnadurai Veeramani khalid S al-Numair Mohammed A alsaif Govindasamy Chandramohan Nouf S al-Numair Kodukkur Viswanathan Pugalendi Department of Community Health Sciences College of Applied Medical SciencesKing Saud University Department of Structural and Molecular Biology University College LondonDarwin BuildingCower StreetLondonWCIE 6BT Department of Biochemistry and Biotechnology Annamalai University

Objective:To investigate the protective role of Cardiospermum halicacabum(***) leaf extract on glycoprotein metabolism in streptozotocin(STZ)-induced diabetic ***: Diabetes was induced in male albino Wistar rats by intraperitonial administration of *** *** leaf extract(CHE) was administered orally to normal and STZ-diabetic rats for 45 *** effects of *** leaf extract(CHE) on plasma and tissue glycoproteins (hexose,hexosamine,fucose and sialic acid) were ***:The levels of plasma and tissues glycoproteins containing hexose,hexosamine and fucose were significantly increased in STZ-induced diabetic *** addition,the level of sialic acid significantly increased in plasma and liver while decreased in kidney of STZ-induced diabetic *** administration of CHE to diabetic rats,the metabolic alteration of glycoprotein reverted towards normal levels. Conclusions:The present study indicates that the CHE possesses a protective effect on abnormal glycoprotein metabolism in addition to its antihyperglycemic activity.

关键词： Streptozotocin Cardiospermum halicacabum leaf extract Hexose Hexosamine Fucose Sialic acid

Pomegranate peel extract lessens histopathologic changes and restores antioxidant homeostasis in the hippocampus of rats with aluminium chloride-induced alzheimer’s disease

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Asian Pacific Journal of Tropical Medicine 2020年第10期13卷 456-463页

作者： Steve Harakeh Wafaa S.Ramadan Mohammed S.al Muhayawi Soad al Jaouni Shaker Mousa khalid Rehman Hakeem Special Infectious Agent Unit King Fahd Medical Research CenterKing Abdulaziz UniversityKingdom of Saudi Arabia Department of Anatomy Faculty of MedicineKing Abdulaziz UniversityKingdom of Saudi Arabia Department of Anatomy Faculty of MedicineAin Shams UniversityCairoEgypt Department of Medical Microbiology/Parasitology and Molecular Microbiology Laboratory KAUHKing Abdulaziz UniversityKingdom of Saudi Arabia Department of Hematology/Pediatric Oncology King Abdulaziz University Hospital(KAUH)Faculty of MedicineKing Abdulaziz UniversityKingdom of Saudi Arabia Yousef Abdul Latif Jameel Scientific Chair of Prophetic Medicine Application Faculty of MedicineKing Abdulaziz UniversityKingdom of Saudi Arabia Pharmaceutical Research Institute Albany College of Pharmacy and Health SciencesRensselaerNYUSA Department of Biological Sciences Faculty of SciencesKing Abdulaziz UniversityJeddahSaudi Arabia

Objective:To investigate the neuroprotective efficacy of pomegranate and ellagic acid on the histopathological changes in the hippocampus of an aluminium chloride(alCl3)induced rat model of alzheimer’s ***:Sprague Dawley rats were divided into 4 groups(n=10each):GroupⅠ:serving as negative control;GroupⅡ,alzheimer model,induced by administration of 17 mg/kg bw alCl3;GroupⅢ,administered the same dose of alCl3 with 50 mg/kg of pomegranate peel extract and GroupⅣ:administered ellagic acid(50 mg/kg)in addition to the same dose of *** medication given to all groups continued for 28 *** were given the compounds by gastric *** arm maze test,hippocampus antioxidant markers,histopathology of the dentate gyrus,and CA3 of the hippocampus were ***:Rats treated with pomegranate peel extract exposed to radial arm maze test showed less number of errors and reduced time needed to reach the *** was an increase in the levels of glutathione,catalase,and total antioxidant capacity and decreased lipid peroxidation *** features in dentate gyrus and CA3 as apoptosis and chromatolysis of pyramidal cells and granular layer,respectively,were *** characteristic neurofibrillary tangles and senile plaques were *** with ellagic acid ameliorated the pathological results but to a statistically lower ***:Pomegranate peel extract alleviates memory deficit and restores antioxidant homeostasis following degenerative changes in the hippocampus induced by aluminium chloride in rats.

关键词： Pomegranate Peel extract Ellagic acid Antioxidants Hippocampus Behavioural test

Hybrid Recommender System for Tourism Based on Big Data and AI:A Conceptual Framework

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Big Data Mining and Analytics 2021年第1期4卷 47-55页

作者： khalid al Fararni Fouad Nafis Badraddine Aghoutane ali Yahyaouy Jamal Riffi Abdelouahed Sabri LISAC Laboratory Department of InformaticsFaculty of Sciences Dhar El MahrazSidi Mohamed Ben Abdellah UniversityFez-Atlas 30000Morocco IA Laboratory Department of Computer ScienceFaculty of SciencesMoulay Ismail UniversityMoulay Ismail UniversityMeknes 50070Morocco

With the development of the Internet,technology,and means of communication,the production of tourist data has multiplied at all levels(hotels,restaurants,transport,heritage,tourist events,activities,etc.),especially with the development of Online Travel Agency(OTA).However,the list of possibilities offered to tourists by these Web search engines(or even specialized tourist sites)can be overwhelming and relevant results are usually drowned in informational"noise",which prevents,or at least slows down the selection *** assist tourists in trip planning and help them to find the information they are looking for,many recommender systems have been *** this article,we present an overview of the various recommendation approaches used in the field of *** this study,an architecture and a conceptual framework for tourism recommender system are proposed,based on a hybrid recommendation *** proposed system goes beyond the recommendation of a list of tourist attractions,tailored to tourist *** can be seen as a trip planner that designs a detailed program,including heterogeneous tourism resources,for a specific visit *** ultimate goal is to develop a recommender system based on big data technologies,artificial intelligence,and operational research to promote tourism in Morocco,specifically in the Daraa-Tafilalet region.

关键词： recommender systems user profiling content-based filtering collaborative filtering hybrid recommender system e-tourism trip planning

Antihyperlipidemic effect of Melothria maderaspatana leaf extracts on DOCA-salt induced hypertensive rats

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Asian Pacific Journal of Tropical Medicine 2012年第6期5卷 434-439页

作者： Chinnadurai Veeramani khalid S al-Numair Govindasamy Chandramohan Mohammed A alsaif Kodukkur Viswanathan Pugalendi Department of Community Health Sciences College of Applied Medical SciencesKing Sand UniversityP.O.Box 10219Riyadh 11433Saudi Arabia Department of Biochemistry and Biotechnology Annamalai UniversityAnnamalainagar-608 002TamilnaduIndia

Objective:To investigate the antihyperlipidemic effect of crude ethanolic extract of Melothria maderaspatana(***) leaf(CEEM) on deoxycorticosterone acetate(DOCA)-salt hypertensive ***:A midscapular incision was made on each rat and the left kidney was excised after ligation of the renal *** surgical wound was closed using an absorbable *** one week recovery period,hypertension was induced by subcutaneous injection of DOCA-salt solution,twice a week,and the rats received a 1%sodium chloride solution as drinking water throughout the experimental *** or nifedipine was administered orally once a day for 6 ***:In DOCA-salt hypertensive rats,the level of plasma and tissues of total cholesterol(TC),triglycerides(TG),free fatty acids(FFA) and phospholipids (PL) significantly increased and administration of CEEM significantly reduced these parameters towards ***,the levels of low density lipoprotein-cholesterol(LDL-C) and very low density lipoprotein-cholesterol(VLDL-C) significantly increased while high density lipoprotein-cholesterol (HDL-C) decreased in hypertensive rats and administration of CEEM brought these parameters to normality which proved their antihyperlipidemic *** of liver, kidney and heart on DOCA-salt induced rats treated with CEEM showed reduced the damages towards normal ***:These findings provided evidence that CEEM was found to be protecting the liver,kidney and heart against DOCA-salt administration and the protective effect could attribute to its antihyperlipidemic activities.

关键词： DOCA-salt Hypertension CEEM Total cholesterol Triglycerides Free fatty acids Phospholipids

An Intelligent HealthCare Monitoring Framework for Daily Assistant Living

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Computers, Materials & Continua 2022年第8期72卷 2597-2615页

作者： Yazeed Yasin Ghadi Nida khalid Suliman A.alsuhibany Tamara al Shloul Ahmad Jalal Jeongmin Park Department of Computer Science and Software Engineering Al Ain UniversityAl Ain15551UAE Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Humanities and Social Science Al Ain UniversityAl Ain15551UAE Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

Human Activity Recognition(HAR)plays an important role in life care and health monitoring since it involves examining various activities of patients at homes,hospitals,or ***,the proposed system integrates Human-Human Interaction(HHI)and Human-Object Interaction(HOI)recognition to provide in-depth monitoring of the daily routine of *** propose a robust system comprising both RGB(red,green,blue)and depth *** particular,humans in HHI datasets are segmented via connected components analysis and skin detection while the human and object in HOI datasets are segmented via saliency *** track the movement of humans,we proposed orientation and thermal features.A codebook is generated using Linde-Buzo-Gray(LBG)algorithm for vector ***,the quantized vectors generated from image sequences of HOI are given to Artificial Neural Network(ANN)while the quantized vectors generated from image sequences of HHI are given to K-ary tree hashing for *** are two publicly available datasets used for experimentation on HHI recognition:Stony Brook University(SBU)Kinect interaction and the University of Lincoln’s(UoL)3D social activity ***,two publicly available datasets are used for experimentation on HOI recognition:Nanyang Technological University(NTU)RGB-D and Sun Yat-Sen University(SYSU)3D HOI *** results proved the validity of the proposed system.

关键词： Artificial neural network human-human interaction humanobject interaction k-ary tree hashing machine learning