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The impact of tobacco use and nicotine addiction on health: A literature review of nursing interventions for smoking cessation

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Journal of Integrative Nursing 2024年第4期6卷 218-230页

作者： Raghad ABDELKADER Roqia Saleem MAABREH Riyad AL-DGHEIM naif salem altarawneh Mahmoud HALRABAB’A Hala ZAITON Amaal Samir ABDELMAKSOUD Wesam T.ALMAGHARBEH Khaldoon Aied ALNAWAFLEH Hazem A.ALFANASH Zyad T.SALEH Rami Azmi ELSHATARAT Maternal and Child Health Nursing Department Faculty of NursingApplied Science Private UniversityAmmanJordan Department of Nursing Nursing CollegeIrbid National UniversityIrbidJordan Department of Respiratory Therapy and Critical Care Faculty of Allied Medical SciencesJadara UniversityIrbidJordan Department of Psychiatric Nursing College of NursingTaibah UniversityMadinahSaudi Arabia Applied Medical Science Department Prince Al-Hussein Bin Abdullah II Academy for Civil ProtectionAl-Balqa Applied UniversitySaltJordan Department of Medical and Surgical Nursing College of NursingTaibah UniversityMadinahSaudi Arabia Department of Medical Surgical Nursing Faculty of NursingAlexandria UniversityAlexandriaEgypt Department of Medical Surgical Nursing Faculty of NursingUniversity of TabukTabukSaudi Arabia Department of Nursing leadership and Education Faculty of NursingUniversity of TabukTabukSaudi Arabia Department of Clinical Nursing School of NursingThe University of JordanAmmanJordan Department of Nursing Vision CollegeRiyadhSaudi Arabia

Tobacco use remains one of the leading preventable causes of morbidity and mortality globally,with nicotine addiction significantly impacting health *** literature review explores the multifaceted nature of tobacco use and its health implications,emphasizing the role of nursing interventions in smoking *** review highlights various strategies employed by nurses,including assessment,counseling,pharmacotherapy support,and behavioral interventions,which are essential for effective tobacco *** analyzing current evidence-based practices,the study underscores the importance of comprehensive assessments and personalized care plans tailored to individual patient *** also addresses the significance of motivational interviewing and the 5 A’s framework in facilitating successful quit *** addition,the review discusses the integration of cognitive-behavioral therapy and stress management techniques as vital components of behavioral *** for improving tobacco cessation efforts include enhanced training for healthcare professionals,the establishment of community-based support groups,and advocacy for robust tobacco control *** findings underscore the critical need for ongoing research into the long-term effectiveness of cessation interventions across diverse *** study aims to inform nursing practice and public health policy,ultimately contributing to the reduction of tobacco-related health issues and promoting healthier communities.

关键词： Addiction clinical interventions health hazards policy advocacy public health secondhand smoke smoking cessation tobacco use

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Developing a Model for Parkinson’s Disease Detection Using Machine Learning Algorithms

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Computers, Materials & Continua 2024年第6期79卷 4945-4962页

作者： naif Al Mudawi Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia

Parkinson’s disease(PD)is a chronic neurological condition that progresses over *** start to have trouble speaking,writing,walking,or performing other basic skills as dopamine-generating neurons in some brain regions are injured or *** patient’s symptoms become more severe due to the worsening of their signs over *** this study,we applied state-of-the-art machine learning algorithms to diagnose Parkinson’s disease and identify related risk *** research worked on the publicly available dataset on PD,and the dataset consists of a set of significant characteristics of *** aim to apply soft computing techniques and provide an effective solution for medical professionals to diagnose PD *** research methodology involves developing a model using a machine learning *** the model selection,eight different machine learning techniques were adopted:Namely,Random Forest(RF),Decision Tree(DT),Support Vector Machine(SVM),Naïve Bayes(NB),Light Gradient Boosting Machine(LightGBM),K-Nearest Neighbours(KNN),Extreme Gradient Boosting(XGBoost),and Logistic Regression(LR).Subsequently,the concentrated models were validated through 10-fold Cross-Validation and Receiver Operating Characteristic(ROC)—Area Under the Curve(AUC).In addition,GridSearchCV was utilised to measure each algorithm’s best parameter;eventually,the models were trained through the hyperparameter tuning *** 98%accuracy,LightGBM had the highest accuracy in this ***,KNN,and SVM came in second with 96%***,the performance scores of NB and LR were recorded to be 76%and 83%,*** is to be mentioned that after applying 10-fold cross-validation,the average performance score of LightGBM accounted for 93%.At the same time,the percentage of ROC-AUC appeared at 0.92,which indicates that this LightGBM model reached a satisfactory ***,we extracted meaningful insights and figured out potential gaps on top of *** extracting meaningful in

关键词： Light GBM cross-validation ROC-AUC Parkinson’s disease(PD) SVM and XGBoost

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Antioxidant therapy in male infertility： fact or fiction？

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Asian Journal of Andrology 2011年第3期13卷 374-381,510页

作者： Armand Zini naif AI-Hathal Division of Urology Department of Surgery Royal Victoria Hospital McGill University Montreal Que. H3T 1M5 Canada

Infertile men have higher levels of semen reactive oxygen species （ROS） than do fertile men. High levels of semen ROS can cause sperm dysfunction, sperm DNA damage and reduced male reproductive potential. This observation has led clinicians to treat infertile men with antioxidant supplements. The purpose of this article is to discuss the rationale for antioxidant therapy in infertile men and to evaluate the data on the efficacy of dietary and in vitro antioxidant preparations on sperm function and DNA damage. To date, most clinical studies suggest that dietary antioxidant supplements are beneficial in terms of improving sperm function and DNA integrity. However, the exact mechanism of action of dietary antioxidants and the optimal dietary supplement have not been established. Moreover, most of the clinical studies are small and few have evaluated pregnancy rates. A beneficial effect of in vitro antioxidant supplements in protecting spermatozoa from exogenous oxidants has been demonstrated in most studies; however, the effect of these antioxidants in protecting sperm from endogenous ROS, gentle sperm processing and cryopreservation has not been established conclusively.

关键词： antioxidant male infertility oxidative stress sperm DNA fragmentation vitamins

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Performance analysis of a hybrid optical CDMA/DWDM system against inter-symbol interference and four wave mixing

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Digital Communications and Networks 2021年第1期7卷 151-156页

作者： naif Alsowaidi Tawfig Eltaif Mohd Ridzuan Mokhtar Faculty of Engineering Technology Multimedia University75450Bukit BeruangMelakaMalaysia School of Engineering University of TasmaniaHobartTasmania7005Australia School of Electrical and Computer Engineering Xiamen University Malaysia43900 SepangSelangorMalaysia Faculty of Engineering Multimedia University63100CyberjayaSelangorMalaysia

This paper reports the implementation and theoretical model for analyzing an optical CDMA/DWDM hybrid system to reduce two major problems,the Inter-Symbol Interference(ISI)and the Four-Wave Mixing(FWM)effects and improve the performance of optical subscriber access networks by using Zero Cross-Correlation(ZCC)optical codes,which helps to reduce the effect of the Multiple Access Interference(MAI).A squeezing method is used in the proposed hybrid system to completely suppress the *** this method,the sequence interval of the signature code is squeezed into a duration of less than *** hybrid system is capable of accommodating 120 optical CDMA users carried by only 10 DWDM wavelengths spaced by 0.2 nm with 60 Gb/s/wavelength transmitted over 105.075 km of optical *** result shows that the optimum interval of the code sequence is a quarter(i.e.,25%)of the bit ***,the results reveal that the CDMA technology based on the spread spectrum is capable of increasing the nonlinear tolerance of the proposed hybrid system as the energy of bits is distributed over the chip sequence ***,the number of ones/weight and the positions between them have a significant effect on the performance of the proposed hybrid system.

关键词： Optical CDMA Dense wavelength division multiplexing Four wave mixing Inter-symbol interference

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Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

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Computers, Materials & Continua 2019年第4期59卷 345-359页

作者： Cosmin Anitescu Elena Atroshchenko naif Alajlan Timon Rabczuk Institute of Structural Mechanics Bauhaus-Universität Weimar99423WeimarGermany School of Civil&Environmental Engineering University of New South WalesSydneyAustralia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

We present a method for solving partial differential equations using artificial neural networks and an adaptive collocation *** this procedure,a coarse grid of training points is used at the initial training stages,while more points are added at later stages based on the value of the residual at a larger set of evaluation *** method increases the robustness of the neural network approximation and can result in significant computational savings,particularly when the solution is *** results are presented for benchmark problems for scalar-valued PDEs,namely Poisson and Helmholtz equations,as well as for an inverse acoustics problem.

关键词： Deep learning adaptive collocation inverse problems artificial neural networks

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Mechanical Properties of All MoS_(2) Monolayer Heterostructures:Crack Propagation and Existing Notch Study

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Computers, Materials & Continua 2022年第3期70卷 4635-4655页

作者： Reza Khademi Zahedi naif Alajlan Hooman Khademi Zahedi Timon Rabczuk Institiute of Structural Mechanics Bauhaus-Universit鋞WeimarWeimar99423Germany Department of Computer Engineering King Saud UniversityRiyadhSaudi Arabia Mechanical Engineering Department Islamic Azad UniversityNorth Tehran BranchIran

The outstanding thermal,optical,electrical and mechanical properties of molybdenum disolphide(MoS_(2))heterostructures make them exceptional candidates for an extensive area of ***,despite considerable technological and academic interest,there is presently a fewinformation regarding the mechanical properties of these novel two-dimensional(2D)materials in the presence of the *** thismanuscript,we performed extensive molecular dynamics simulations on pre-cracked and pre-notched all-molybdenum disolphide(MoS_(2))heterostructure systems using ReaxFF force ***,we study the influence of several central-crack lengths and notch diameters on the mechanical response of 2H phase,1T phase and composite 2H/1T MoS_(2) monolayers with different concentrations of 1T phase in 2H phase,under uniaxial tensile loading at room *** ReaxFF models reveal that larger cracks and notches decrease the strength of all 2D MoS_(2) single-layer ***,for all studied crack and notch sizes,2H phase of MoS_(2) films exhibits the largest *** tensile stress of composite 2H/1T MoS_(2) nanosheet with different concentrations are higher than those for the equivalent 1T phase,which implies that the pre-cracked composite structure is remarkably stronger than the equivalent 1T *** comparison of the results for cracked and notched all-MoS_(2) nanosheet heterostructures reveal that the load bearing capacity of the notched samples of monolayerMoS_(2) are higher than the cracked ones.

关键词： Molybdenum disulphide(MoS_(2)) molecular dynamics simulations uniaxial tension cracks notches

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A New Hybrid Model for Segmentation of the Skin Lesion Based on Residual Attention U-Net

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Computers, Materials & Continua 2023年第6期75卷 5177-5192页

作者： Saleh naif Almuayqil Reham Arnous Noha Sakr Magdy M.Fadel Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and Technology(DHIET)MansouraEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Skin segmentation participates significantly in various biomedical applications,such as skin cancer identification and skin lesion *** paper presents a novel framework for segmenting the *** framework contains two main stages:The first stage is for removing different types of noises from the dermoscopic images,such as hair,speckle,and impulse noise,and the second stage is for segmentation of the dermoscopic images using an attention residual U-shaped Network(U-Net).The framework uses variational Autoencoders(VAEs)for removing the hair noises,the Generative Adversarial Denoising Network(DGAN-Net),the Denoising U-shaped U-Net(D-U-NET),and Batch Renormalization U-Net(Br-U-NET)for remov-ing the speckle noise,and the Laplacian Vector Median Filter(MLVMF)for removing the impulse *** the second main stage,the residual attention u-net was used for *** framework achieves(35.11,31.26,27.01,and 26.16),(36.34,33.23,31.32,and 28.65),and(36.33,32.21,28.54,and 27.11)for removing hair,speckle,and impulse noise,respectively,based on Peak Signal Noise Ratio(PSNR)at the level of(0.1,0.25,0.5,and 0.75)of *** framework also achieves an accuracy of nearly 94.26 in the dice score in the process of segmentation before removing noise and 95.22 after removing different types of *** experiments have shown the efficiency of the used model in removing noise according to the structural similarity index measure(SSIM)and PSNR and in the segmentation process as well.

关键词： Skin tumor speckle noise impulse noise hair noise deep learning segmentation

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Hydromagnetic peristaltic transport of copper-water nanofluid with temperature-dependent effective viscosity

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Particuology 2016年第4期14卷 133-140页

作者： Fahad M. Abbasi Tasawar Hayat Sabir A. Shehzad Fuad Alsaadi naif Altoaibi Department of Mathematics COMSATS Institute of lnformation Technology Islamabad 44000 Pakistan Department of Mathematics Quaid-l-Azam University 45320 Islamabad 44000 Pakistan Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia Department of Mathematics COMSATS Institute of Information Technology Sahiwal Pakistan

The unique chemical mechanical, and thermodynamic properties of nanofluids make them a subject of great interest for scientists from all domains. Such fluids are of particular significance in biomedical engineering owing to their vast and novel applications in modern drug delivery systems; for example, mixed convective peristaltic flow of water-based nanofluids under the influence of an externally applied magnetic field is of particular significance. Hence, a lot of research has focused on peristalsis in the presence of velocity and thermal slip effects. An empirical relation for the effective viscosity of the nanofluid is proposed here for the first time. The viscosity of the nanofluid varies with temperature and nanoparticle volume fraction. Numerical simulation of the resulting nonlinear system of equations is presented for different quantities of interest. The results indicate that the maximum velocity and temperature of the copper-water nanofluid increase for larger variable viscosity parameter. The pressure gradient in the wider part of the channel is also found to increase as a function of the variable viscosity parameter. The variable viscosity parameter also influences the size of the trapped bolus. An increase in the nanoparticle volume fraction reduces the reflux phenomenon in a peristaltic flow.

关键词： Temperature dependent effective viscosity Copper-water nanofluid Peristalsis Slip effect Magnetohydrodynamics

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Computational Machine Learning Representation for the Flexoelectricity Effect in Truncated Pyramid Structures

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Computers, Materials & Continua 2019年第4期59卷 79-87页

作者： Khader M.Hamdia Hamid Ghasemi Xiaoying Zhuang naif Alajlan Timon Rabczuk Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia Institute of Structural Mechanics Bauhaus-Universität WeimarMarienstr.15D-99423 WeimarGermany Department of Mechanical Engineering Arak University of Technology38181-41167 ArakIran Institute of Continuum Mechanics Leibniz University HannoverHannover 30167Germany Department of Geotechnical Engineering Tongji UniversityShanghai200092China

In this study,machine learning representation is introduced to evaluate the flexoelectricity effect in truncated pyramid nanostructure under compression.A Non-Uniform Rational B-spline(NURBS)based IGA formulation is employed to model the *** investigate 2D system with an isotropic linear elastic material under plane strain conditions discretized by 45×30 grid of B-spline *** input parameters are selected to construct a deep neural network(DNN)*** are the Young's modulus,two dielectric permittivity constants,the longitudinal and transversal flexoelectric coefficients and the order of the shape *** outputs of interest are the strain in the stress direction and the electric potential due *** dataset are generated from the forward analysis of the flexoelectric model.80%of the dataset is used for training purpose while the remaining is used for validation by checking the mean squared *** addition to the input and output layers,the developed DNN model is composed of four hidden *** results showed high predictions capabilities of the proposed method with much lower computational time in comparison to the numerical model.

关键词： Flexoelectricity Isogeometric analysis Machine learning prediction deep neural networks

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Reproductive biology of Gazella arabica: Predictors of offspring weight and short- and long-term offspring survival

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Current Zoology 2023年第6期69卷 643-653页

作者： Ryan A.Martin Rudiger Riesch Martin Plath naif A.Al Hanoosh Torsten Wronski Department of Biology DeGrace HallCase Western Reserve UniversityClevelandOHUSA Department of Biological Sciences Centre for EcologyEvolution and BehaviourRoyal Holloway University of LondonEghamSurreyUK CEFE CNRSUniv MontpellierEPHEIRDMontpellierFrance College of Nursing of Ribeirao Preto University of Sao PauloAvenida Bandeirantes 390014040-902Brazil National Center for Wildlife King Khalid Wildlife Research CenterThumamahKingdom of Saudi Arabia Faculty of Science School of Biological and Environmental SciencesLiverpool John Moores UniversityLiverpoolUK

Reproductive traits are central to organismal fitness,and so the factors influencing patterns of reproduction and offspring survival are at the heart of *** use of breeding data collected over 16 years at the King Khalid Wildlife Research Centre in Saudi Arabia,we investigated the reproductive biology of Arabian gazelles Gazella *** survival was mainly a function of birth weight,with heavier offspring having higher survival rates than lighter ***,while sons were heavier than daughters,daughters had higher survival *** could not find evidence that giving birth to sons negatively impacts offspring weight in the following *** uncovered large narrow-sense heritability(h2)in offspring weight at birth,while maternal effects(m2)on birth weight were of lesser ***,maternal effects on offspring survival were strong until weaning age,while paternal effects dominated survival to sexual maturity and first *** propose that variation in maternal postnatal care might overshadow the effects of maternal inheritance of birth weights,while the overall strong heritability of weight at birth and the paternal effects on survival llustrates strong variance in sire fitness based on genetic quality,suggesting a role for sexual selectionbyfemalemate choiceinwildpopulations.

关键词： Arabian gazelles heritability life-history evolution offspring mortality sex differences ungulates

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