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Innovative Fungal Disease Diagnosis System Using Convolutional Neural Network

Computers, Materials & Continua 2022年第12期73卷 4869-4883页

作者： Tahir Alyas Khalid Alissa Abdul salam Mohammad Shazia Asif Tauqeer Faiz Gulzar Ahmed Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of General Education Skyline University CollegeUniversity City of SharjahUAE Higher Colleges of Technology Abu DhabiUAE Department of Enterprise Computing Skyline University CollegeSharjahUAE Department of Computer Science University of South AsiaLahore54000Pakistan

Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening *** outer layer of your body is called the integumentary *** skin,hair,nails,and glands are all part of *** organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the *** It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating ***,light,damage,and illness are all protected by ***-caused infections are found in almost every part of the natural *** an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in *** primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal *** are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea *** paper aims to detect infected skin issues and provide treatment recommendations based on proposed system *** identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system *** collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus *** CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.

关键词： Deep machine learning CNN ReLU skin disease fungal

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Bamboo biochar greater enhanced Cd/Zn accumulation in Salix psammophila under non-flooded soil compared with flooded

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Biochar 2022年第1期4卷 1072-1088页

作者： Xiaogang Li Yini Cao Jiang Xiao Mir Md Abdus salam Guangcai Chen Research Institute of Subtropical Forestry Chinese Academy of Forestry73Daqiao RdHangzhou 311400ZhejiangChina Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education School of EcologyEnvironment and ResourcesGuangdong University of TechnologyGuangzhou 510006China School of Forest Sciences University of Eastern FinlandYliopistokatu 7P.O.Box 11180100 JoensuuFinland Natural Resources Institute Finland(LUKE) Yliopistokatu 6B80100 JoensuuFinland

As a metal immobilizer,biochar can be used to remediate contaminated ***’s effect on the phytoremediation process in flooded conditions under a scenario of increasing flooding frequency as global climate change is not well *** study investigated bamboo biochar(BBC)effects on growth and metal accumulation of Salix in multi-metal contaminated soil under non-flooded versus flooded *** cuttings were cultivated in pots with severely contaminated soil by Cd and Zn,for 120 days,with four treatments including non-flooded treatment,flooded treatment,non-flooded with 3%BBC application(BBC/soil,w/w),and flooded with 3%BBC ***,flooding,and BBC×flooding significantly decreased the bioavailability of metals in soils(P<0.05).The BBC addition markedly stimulated Cd concentration in leaves under non-flooded(94.20%)and flooded conditions(32.73%)but showed little effect on *** BBC significantly boosted Cd and Zn transport from roots to aboveground parts by 68.85%and 102.27%compared with no BBC amendment under non-flooded treatment,while showing insignificant changes under flooded *** the plant biomass was little affected,BBC significantly increased Cd and Zn accumulation in the whole plant by 52.53%and 28.52%under non-flooded while showing an insignificant impact under flooded *** together,BBC enhanced the phytoremediation efficiency of Salix to Cd and Zn in severely polluted non-flooded soil,while flooding offset this *** results indicated the effects of BBC varied under different soil moisture,which should be considered in the biochar-assisted phytoremediation to variable and complex environments.

关键词： Heavy metals Amendment Salix Phytoremediation Soil flooding

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A Suitable Active Control for Suppression the Vibrations of a Cantilever Beam

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Sound & Vibration 2022年第2期56卷 89-104页

作者： Y.A.Amer A.T.EL-Sayed M.N.Abd EL-salam Mathematics Department Science FacultyZagazig UniversityZagazigEgypt Basic Sciences Department Modern Academy for Engineering and TechnologyCairoEgypt Basic Sciences Department Higher Technological Institute10th of Ramadan CityEgypt

In our consideration,a comparison between four different types of controllers for suppression the vibrations of the cantilever beam excited by an external force is carried *** four types are the linear velocity feedback control,the cubic velocity feedback control,the non-linear saturation controller(NSC)and the positive position feedback(PPF)*** suitable type is the PPF controller for suppression the vibrations of the cantilever *** approximate solution obtained up to the first approximation by using the multiple scale *** PPF controller effectiveness is studied on the *** used frequency-response equations to investigate the stability of a cantilever *** notified that,there is a good agreement between the analytical solution and the numerical solution.

关键词： Cantilever beam cubic velocity feedback control linear velocity feedback control non-linear saturation controller(NSC) positive position feedback(PPF)controller

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Identification of Anomaly Scenes in Videos Using Graph Neural Networks

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Computers, Materials & Continua 2023年第3期74卷 5417-5430页

作者： Khalid Masood Mahmoud M.Al-Sakhnini Waqas Nawaz Tauqeer Faiz Abdul salam Mohammad Hamza Kashif Department of Software Engineering Lahore Garrison UniversityLahore54000Pakistan School of Business Skyline University CollegeSharjahUAE Al-Madinah International University–Faculty of Computer and Information Technology Kuala LumpurMalaysia College of Computer and Information Systems Islamic University of MadinahMadinahKingdom of Saudi Arabia School of IT Skyline University CollegeSharjahUAE Faculty of Engineering Computing and Science(FECS)-Swinburne University of TechnologySarawak Department of General Education Skyline University CollegeUniversity City of SharjahUAE Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan

Generally,conventional methods for anomaly detection rely on clustering,proximity,or *** themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the network and make conventional techniques *** research explores the structure of Graph neural networks(GNNs)that generalize deep learning frameworks to graph-structured *** node in the graph structure is labeled and anomalies,represented by unlabeled nodes,are predicted by performing random walks on the node-based graph *** to their strong learning abilities,GNNs gained popularity in various domains such as natural language processing,social network analytics and *** detection is a challenging task in computer vision but the proposed algorithm using GNNs efficiently performs the identification of *** Graph-based deep learning networks are designed to predict unknown objects and *** our case,they detect unusual objects in the form of malicious *** edges between nodes represent a relationship of nodes among each *** case of anomaly,such as the bike rider in Pedestrians data,the rider node has a negative value for the edge and it is identified as an *** encoding and decoding layers are crucial for determining how statistical measurements affect anomaly identification and for correcting the graph path to the best possible *** show that the proposed framework is a step ahead of the traditional approaches in detecting unusual activities,which shows a huge potential in automatically monitoring surveillance *** autonomous monitoring of CCTV,crime control and damage or destruction by a group of people or crowd can be identified and alarms may be triggered in unusual activities in streets or public *** suggested GNN model improves accuracy by 4%for the Pedestrian 2 dataset and 12%for the Pedestrian 1 dataset compared to a few state-of the-art techniq

关键词： Graph neural network deep learning anomaly detection auto encoders

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Fractionation of edible bird’s nest glycoprotein hydrolysates:characterisation and antioxidative activities of the fractions

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Food Science and Human Wellness 2022年第4期11卷 886-894页

作者： Poh Kei Chong Sue Lian Mun Lee Sin Chang Abdul salam Babji Seng Joe Lim Department of Food Sciences Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Department of Food Science and Nutrition Faculty of Applied SciencesUCSI University Kuala LumpurNo.1Jalan Menara GadingUCSI Heights 56000 CherasKuala LumpurMalaysia Innovation Centre for Confectionery Technology(MANIS) Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Centre for Innovation and Technology Transfer(INOVASI-UKM) ChancelleryUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia

E dible bird’s nest(EBN)hydrolysates have been proven to exhibit enhanced ***,being a macromolecule,fractions with different molecular weights would have different properties and ***,this research was aimed to determine the chemical properties and antioxidant activities of freezedried(EBN_(FD))and spray-dried EBN(EBN_(SD))hydrolysates fractionated using gel permeation chromatography(GPC).Overall,two well-separated fractions were identified(EBN_(fFD1),EBN_(fFD2),EBN_(fSD1) and EBN_(fSD2)).EBNFD demonstrated significantly higher(P≤0.05)peptide(3.6%),total carbohydrate(27.7%)and sialic acid(18.2%)contents than that of *** trend was observed in low molecular weight fractionates(EBN_(fFD2) and EBN_(fSD2)).Meanwhile,the first fractionates(EBN_(fFD1) and EBN_(fSD1))exhibited significantly higher(P≤0.05)hydroxyl radical(·OH)scavenging *** transform infrared(FTIR)spectroscopy demonstrated that all EBN fractionates have similar spectrum,except in the region of N—H(amideⅡ)and C—H alkyl *** conclusion,EBN fractionates with different molecular weights showed different chemical properties and antioxidant activities.

关键词： Fractionates Gel permeation chromatography Hydrolysates Peptide content Sialic acid

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An efficient energy-management strategy for a DC microgrid powered by a photovoltaic/fuel cell/battery/supercapacitor

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Clean Energy 2022年第6期6卷 827-839页

作者： Furqan A.Abbas Adel A.Obed Mohammed A.Qasim salam J.Yaqoob Seydali Ferahtia Department of Electrical Engineering Electrical Engineering Technical CollegeMiddle Technical UniversityBaghdad 10001Iraq Department of Nuclear Power Plants and Renewable Energy Sources Ural Federal University19 Mira St620002 YekaterinburgRussia Department of Projects and Engineering Services Ministry of HealthBaghdad 10001Iraq Department of Research and Education Authority of the Popular CrowdPrime MinisterBaghdad 10001Iraq Laboratore d’Analyse des Signaux et Systemes Department of Electrical EngineeringUniversity of M’silaMsila 28000Algeria

The outcome of this paper is to suggest an efficient energy-management strategy(EMS)for a direct-current(DC)microgrid(MG).The typical MG is composed of two renewable energy sources[photovoltaic(PV)systems and fuel cells(FCs)]and two energy-storage elements(lithium-ion battery and supercapacitor).An EMS was proposed to ensure optimal bus voltage with a power-sharing arrangement between the load and the *** a result,in the suggested DC MG,non-linear flatness control theory was used instead of the traditional proportional-integral control *** suggested EMS is intended to supply high power quality to the load under varying load conditions with fluctuating solar irradiation while considering the FC *** validate and prove the effectiveness of the proposed EMS,a MATLAB®environment was *** addition,the output power of the PV system was maximized using the particle swarm optimization algorithm as a maximum power point tracking(MPPT)technique to track the MPP of the 3000-W PV system under different irradiance *** results show that the suggested EMS delivers a stable and smooth DC bus voltage with minimum overshoot value(0.1%)and improved ripple content(0.1%).As a result,the performance of the DC MG was enhanced by employing the flatness control theory,which provides higher power quality by stabilizing the bus voltage.

关键词： photovoltaic fuel cell lithium energy management flatness control supercapacitor non-linear control

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Ti_(3)AlC_(2) coated D-shaped fiber saturable absorber for Q-switched pulse generation

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Optoelectronics Letters 2022年第8期18卷 468-471页

作者： Suziana Omar salam MAzooz Ahmad Haziq Aiman Rosol Zulzilawati Jusoh Baktiar Musa Sulaiman Wadi Harun School of Electrical Engineering College of EngineeringUniversiti Teknologi MARADungun 23000Malaysia Department of Communication Engineering Engineering Technical CollegeAl-Furat Al-Awsat Technical UniversityNajafIraq Department of Electrical Engineering University of MalayaKuala Lumpur 50603Malaysia Department of Engineering Faculty of Advanced Technology and MultidisciplineAirlangga UniversitySurabayaIndonesia Department of Physics Faculty of Science and TechnologyAirlangga UniversitySurabayaIndonesia

In this letter,a titanium aluminum carbide(Ti_(3)AlC_(2))coated D-shaped fiber is proposed and demonstrated as a new saturable absorber(SA)for Q-switched laser pulse *** preparing the SA,the TiAlCpowder is dispersed in liquid polyvinyl alcohol(PVA)before the solution is dropped and left to dry onto a polished surface of D-shape *** SA is added to an erbium-doped fiber laser(EDFL)cavity to modulate the cavity loss for *** Q-switched laser is obtained at 1561 *** pulse width of the pulses can be varied between 7.4μs and 5.1μs with a corresponding repetition rate range from 41.26 k Hz to 54.35 k Hz,when the pump power is increased from 42.2 m W to 71.5 m *** 71.5 m W pump,the pulse energy is obtained at 70.3 n *** signal-to-noise ratio(SNR)of the fundamental frequency is recorded at 67 d B,which indicates the stability of the laser.

关键词： switched fiber pulse

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Effect of Al_(2)O_(3) Nanoparticles on the Compression Ignition Performances and Emitted Pollutants of a Diesel Engine

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Fluid Dynamics & Materials Processing 2023年第11期19卷 2847-2861页

作者： Noora S.Ekab Ahmed Q.salam Ali O.Abd Miqdam T.Chaichan Electromechanical Engineering Department University of Technology-IraqBaghdad65035Iraq Environment Research Center University of Technology-IraqBaghdad65035Iraq Applied Science Department University of Technology-IraqBaghdad65035Iraq Energy and Renewable Energies Technology Center University of Technology-IraqBaghdad65035Iraq

To improve the performances of diesel engines and to reduce the pollutants they emit,aluminum oxide nanopar-ticles in varying quantities(50,100,150 ppm)have been added to conventional diesel *** results of such experimental tests have revealed that the addition of nano-Al_(2)O_(3) particles to the diesel fuel reduces its consump-tion by 0.488%,1.02%,and 1.377%,respectively and increases the brake thermal efficiency by 1.4%,2.6%,and 3.8%,*** concentrations of undesired gases decrease accordingly by 1.5%,1.7%,and 2.8%for HC and by 5.88%,11.7%,and 17.6%,respectively,for *** the same percentages of nanoparticles,NO_(x) increases by 2.65,4.36,and 5.37,while the TSP(Total Suspended Particulate)decreases by 22%,34.66%,and 49.7%,*** the same conditions,sulfur dioxide pollutants increase by 4.57%,8.8%and 12.89%,and H_(2)S levels by 4.7%,7.81%and 8.9%,respectively.

关键词： Nao-Al_(2)O_(3) suspension CO NO_(x)-PM trade-off SO_(2) H_(2)

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Big data can help prepare nurses and improve patient outcomes by improving quality,safety,and outcomes

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Frontiers of Nursing 2023年第2期10卷 241-248页

作者： Muayyad Ahmad salam H.Bani Hani Mohammad Abu Sabra Omar Almahmoud School of Nursing The University of JordanAmman 11942Jordan Department of Adult Health Nursing Faculty of NursingAl Al-Bayt UniversityMafraq 25113Jordan School of Nursing The University of Jordan-Aqaba CampusAqaba 77111Jordan Faculty of Nursing PharmacyNursing and Health Professions CollegeBirzeit UniversityBirzeit-Ramallah 627Palestine

Objectives:Big data has revolutionized nursing and health care and raised *** research aims to help nurses understand big data sets to provide better patient ***:This study used big data in nursing to improve patient *** data in nursing has sparked a global revolution and raised concerns,but few studies have focused on helping nurses understand big data to provide the best patient *** systematic review was conducted based on PRISMA ***,MEDLINE,CINAHL,Google Scholar,and ResearchGate were used for 2010-2020 ***:The most common use of big data in nursing was investigated in eight papers between 2015 and *** research showed improvements in patient outcomes and healthcare delivery when big data was used in the medical-surgical,emergency department,critical care unit,community,systems biology,and leadership *** data is not taught to ***:Big data applications in nursing and health care improve early intervention and *** data provides a comprehensive view of a patient’s status and social determinants of health,allowing treatment using all metaparadigms and avoiding a singular *** data can help prepare nurses and improve patient outcomes by improving quality,safety,and outcomes.

关键词： big data health nursing PRISMA quality of care

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Inorganic/organic combination:Inorganic particles/polymer composites for tissue engineering applications

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Bioactive Materials 2023年第6期24卷 535-550页

作者： Astha Sharma Ganesh R.Kokil Yan He Baboucarr Lowe Arwa salam Tariq A.Altalhi Qingsong Ye Tushar Kumeria School of Materials Science and Engineering University of New South WalesKensingtonSydneyNSW2052Australia Australian Centre for Nanomedicine University of New South WalesKensingtonSydneyNSW2052Australia Institute of Regenerative and Translational Medicine Department of StomatologyTianyou HospitalWuhan University of Science and TechnologyWuhan430030China Chemistry Department College of ScienceTaif UniversityTaif21944Saudi Arabia Center of Regenerative Medicine Department of StomatologyRenmin Hospital of Wuhan UniversityWuhan430060China School of Pharmacy University of QueenslandWoolloongabbaQLD4102Australia

Biomaterials have ushered the field of tissue engineering and regeneration into a new era with the development of advanced *** these,the composites of inorganic materials with organic polymers present unique structural and biochemical properties equivalent to naturally occurring hybrid systems such as bones,and thus are highly *** last decade has witnessed a steady increase in research on such systems with the focus being on mimicking the peculiar properties of inorganic/organic combination composites in *** this review,we discuss the recent progress on the use of inorganic particle/polymer composites for tissue engineering and regenerative *** have elaborated the advantages of inorganic particle/polymer composites over their organic particle-based composite *** the inorganic particles play a crucial role in defining the features and regenerative capacity of such composites,the review puts a special emphasis on the various types of inorganic particles used in inorganic particle/polymer *** inorganic particles that are covered in this review are categorised into two broad types(1)solid(e.g.,calcium phosphate,hydroxyapatite,etc.)and(2)porous particles(e.g.,mesoporous silica,porous silicon etc.),which are elaborated in detail with recent *** review also covers other new types of inorganic material(e.g.,2D inorganic materials,clays,etc.)based polymer composites for tissue engineering ***,we provide our expert analysis and opinion of the field focusing on the limitations of the currently used inorganic/organic combination composites and the immense potential of new generation of composites that are in development.

关键词： Composites Regenerative medicine Inorganic nanomaterials Mesoporous silica Porous silicon

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