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A Comprehensive Image Processing Framework for Early Diagnosis of Diabetic retinopathy

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Computers, Materials & Continua 2024年第11期81卷 2665-2683页

作者： Kusum Yadav Yasser alharbi Eissa Jaber Alreshidi Abdulrahman Alreshidi Anuj Kumar Jain Anurag Jain Kamal Kumar Sachin Sharma Brij BGupta College of Computer Science and Engineering University of Ha’ilHa’il81481Saudi Arabia Department of CSE Chandigarh UniversityMohaliPunjab140413India Department of Electronics and Communication Engineering Amity UniversityNoida201301India Department of Information Technology Indira Gandhi Delhi Technical University for WomenNew Delhi110006India Chief Manager State Bank of IndiaPanchkulaHaryana134109India Department of Computer Science and Information Engineering Asia UniversityTaichung City413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary research University of Petroleum and Energy Studies(UPES)Dehradun248007India

In today’s world,image processing techniques play a crucial role in the prognosis and diagnosis of various diseases due to the development of several precise and accurate methods for medical *** analysis of medical images is essential for doctors,as manual investigation often leads to inter-observer *** research aims to enhance healthcare by enabling the early detection of diabetic retinopathy through an efficient image processing *** proposed hybridized method combines Modified Inertia Weight Particle Swarm Optimization(MIWPSO)and Fuzzy C-Means clustering(FCM)*** FCM does not incorporate spatial neighborhood features,making it highly sensitive to noise,which significantly affects segmentation *** method incorporates a modified FCM that includes spatial functions in the fuzzy membership matrix to eliminate *** results demonstrate that the proposed FCM-MIWPSO method achieves highly precise and accurate medical image ***,segmented images are classified as benign or malignant using the Decision Tree-Based Temporal Association rule(DT-TAr)*** analysis with existing state-of-the-art models indicates that the proposed FCM-MIWPSO segmentation technique achieves a remarkable accuracy of 98.42%on the dataset,highlighting its significant impact on improving diagnostic capabilities in medical imaging.

关键词： Image processing biological data PSO Fuzzy C-Means(FCM)

Heavy Metals Phytoremediation and Its Impact on Photosynthetic Pigments and Metabolic Content in Some Plant Species Grown in the Streets of Jeddah Governorate, Saudi Arabia

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Journal of Environmental Protection 2022年第7期13卷 557-574页

作者： Marwa alharbi Ghalia Aljeddani Department of Biology Collage of Science University of Jeddah Jeddah Saudi Arabia

In Jeddah governorate, increased industrialization, urbanization and vehicular traffic may raise levels of heavy metals in the air and soil, threatening food safety and human health. roadside vegetation traffic barriers might be an effective way to enhance roadside air quality and reduce human exposure to vehicular pollution. This study was conducted in order to uncover the best-cultivated plant species for purifying polluted air in terms of environmental parameters. The samples for this study were obtained from several locations throughout Jeddah governorate streets. The main causes of air pollution in the study area are traffic and automobile emissions. Photosynthetic pigments, soluble sugars, soluble protein, amino acids, and proline in plant extracts were investigated in the plant species used in this study. Also, the ionic composition (K, Na Ca and Mg), as well as the heavy metals (Zn, Cr, Ni, Cd, Pb, Co and Ba) in the sampling sites, as well as roots and leaves of the collected plant samples were all assessed. Plant examination revealed that I. coccinea possessed the highest value of Chl b, amino acid, prolin, soluble proteins and sugars, while T. stans exhibited the highest amount of Chl a, carotenoids. Furthermore, the most common contaminants in all sites were Zn, Ba, and Ni, with Zn and Ba being the most actively accumulated in the leaves of the studied plants. The findings revealed that the root of C. lancifolius is a powerful phytoaccumulator of Zn, Ni, and Co. In addition, C. lancifolius , I. coccinea , Z. spina-christi , and B. spectabilis were shown to exhibit high accumulating potential of various polluting metals in their roots. Also, Zn, Ba, Ni, and Cr were the most efficiently transmitted metals to the leaves of the studied plants. Consequently, these plant species can be employed in phytoremediation approaches at contaminated sites.

关键词： Air Pollution Phytoremediation Street Trees Metabolic Content Metal Accumulation

Drought effects on the plasticity in vessel traits of two endemic Magnolia species in the tropical montane cloud forests of eastern Mexico

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Journal of Plant Ecology 2020年第3期13卷 331-340页

作者： Ernesto Chanes rodríguez-ramírez José Antonio Vázquez-García Ignacio García-González othón Alcántara-Ayala Isolda Luna-Vega Laboratorio de Biogeografía y Sistemática Departamento de Biología EvolutivaFacultad de CienciasUniversidad Nacional Autónoma de MéxicoMexico CityMexico Laboratorio de Ecosistemática Instituto de BotánicaDepartamento de Botánica y ZoologíaCentro Universitario de Ciencias Biológicas y AgropecuariasUniversidad de GuadalajaraJaliscoMexico Departamento de Botánica Escola Politécnica Superior de EnxeñaríaUniversidad de Santiago de CompostelaLugoSpain

Aims We aimed to evaluate how climatic fluctuations influence the plasticity of anatomical vessel traits and the width of annual tree-rings of two relict-endemic Mexican Magnolia ***,few studies have assessed the drought effect on vessel traits in tropical montane cloud trees of eastern *** Through digital images of growth rings,we assessed the tree radial growth rate,age of the trees and plasticity in vessel traits regarding climatic fluctuations of the Mexican Magnolia species *** compared vessel density,hydraulic diameter and percentage of conductive area in drought years(DY)and non-drought years(NDY)in two Mexican Magnolia *** Findings For the first time,the plasticity that occurs in porous wood vessel traits to long-term climatic fluctuations was analysed for two endangered Magnolia species(Magnolia vovidesii and ***)from two tropical montane cloud forests in *** found that temperature and precipitation were strongly associated with differences in tree-ring width when DY and NDY were *** analyses revealed that a high plasticity in vessel anatomy of diffuse-porous wood was related to temperature and/or water availability for both Magnolia species *** concluded that anatomical adaptations to DY resulted in a substantial reduction in vessel traits when compared with NDY,and that the plastic adaptations played an essential role in water transport and safety for the survival of the studied species during stressful long periods.

关键词： adaptability climate variability drought–growth relationship Magnolia schiedeana Magnolia vovidesii quantitative wood anatomy

Analysis of Logistic Model with Constant Harvesting in a View of Non-Integer Derivative

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Journal of Mathematics and System Science 2020年第2期10卷 27-32页

作者： Fahad M.alharbi Department of Mathematics Faculty of ScienceUniversity of TabukSaudi Arabia

The conformable fractional derivative method has been utilized in order to examine the logistic model with constant *** method introduces a generalization to the classical analysis of Logistic model,and hence the features of the Logistic model,such as subcritical and supercritical harvesting,have been investigated in a view of fractional *** positive auxiliary parameter,σ,with dimension of time is implemented to maintain the dimensionality of the *** significant information of such parameter to the population has been *** population expressions,obtained by conformable description,are compared with the expressions of the classical *** comparison shows that the non-integer expressions are in a parallel line with that of the classical one.

关键词： Logistic model conformable description non-integer derivative conformable differential equations fractional calculus.

An Ensemble Approach to Identify Firearm Listing on Tor Hidden-Services

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Computer Systems Science & Engineering 2021年第8期38卷 141-149页

作者： Hashem Alyami Mohd Faizan Wael Alosaimi Abdullah alharbi Abhishek Kumar Pandey Md Tarique Jamal Ansari Alka Agrawal raees Ahmad Khan Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Application Integral UniversityLucknow226026Uttar PradeshIndia

The ubiquitous nature of the internet has made it easier for criminals to carry out illegal activities *** sale of illegal firearms and weaponry on dark web cryptomarkets is one such example of *** aid the law enforcement agencies in curbing the illicit trade of firearms on cryptomarkets,this paper has proposed an automated technique employing ensemble machine learning models to detect the firearms listings on *** this work,we have used partof-speech(PoS)tagged features in conjunction with n-gram models to construct the feature set for the ensemble *** studied the effectiveness of the proposed features in the performance of the classification model and the relative change in the dimensionality of the feature *** experiments and evaluations are performed on the data belonging to the three popular cryptomarkets on the Tor dark web from a publicly available *** prediction of the classification model can be utilized to identify the key vendors in the ecosystem of the illegal trade of *** information can then be used by law enforcement agencies to bust firearm trafficking on the dark web.

关键词： Dark web firearms pistols rifles cryptomarkets vendors

Case Study of Three Arab American Language Identity： Bilingual, Binational, or Both

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Journal of Literature and Art Studies 2018年第8期8卷 1235-1243页

作者： Adel M. alharbi The University of Memphis Memphis TN USA

Growing applied linguistics research has discussed the upsurge of the usage of Arabic language among Arabic speakers in the United States （Bale, 2010; Sehlaoui, 2008）; language contact and conflict among Arab Americans （AAs）（rouchdy, 2002）; and how mobility--both virtual and physical--influences their identities （Duff, 2015） This study researches how AAs define their affiliation to the Arabic language in the United States to understand their attitudes on language variety and ethnic diversity, religion and identity, and stereotypes of Arabs. After analyzing interviews, all three AA participants self-selected their identity based on linguistic and physical contexts Thus, the findings suggest further research on AAs should consider cyber identity as a factor for bilingual speakers and compare it with Arabic speakers in their home country

关键词： bilingualism language identity nationalism second language acquisition second language ideology transnationalism

Nonpharmacological pain management practices among nurses working in multiple centers in Saudi Arabia: A cross-sectional study

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Journal of Integrative Nursing 2023年第4期5卷 292-299页

作者： Afaf Mufadhi ALrIMALI Noran Mohammad AL-HAMAD Faisal Hamoud ALMAZEANI Mona Dahi alharbi Department of research and Development Nursing Executive AdministrationHai’l Health ClusterHai’lSaudi Arabia Intensive Care Unit Sharaf HospitalHai’l Health ClusterHai’lSaudi Arabia Nursing Service Ofice Hai’l General HospitalHai’l Health ClusterHai’lSaudi Arabia

Objective:The aim of the study was to investigate the prevalence,and determinants,of nonpharmacological pain management practices among nurses in multiple *** and Methods:A cross-sectional examination was conducted involving 324 nurses from 16 hospitals in Hai’l,Saudi *** completed a self-reported survey utilizing established tools to assess the frequency of nonpharmacological pain management interventions utilization and identify associated *** analysis was performed using SPSS version ***:Nonpharmacological pain management practices were found to be utilized“sometimes,”with a score of 2.89±*** employed techniques included placing patients in comfortable positions and providing a tranquil *** was the sole demographic factor significantly affecting the use of these techniques(Prses demonstrating higher *** to implementation varied based on the hours of recent pain management education(P=0.004),with prevalent barriers including nurse shortages,multiple responsibilities,heavy workloads,and nurse ***:The study reveals moderate utilization of nonpharmacological pain management approaches,primarily focusing on patient positioning and creating a calm *** nurses exhibited higher adoption rates of these *** to implementation,such as nurse shortages and heavy workloads,were influenced by recent pain management ***,enhancing education and fostering supportive work environments are crucial for surmounting these barriers and promoting pain management awareness among nurses.

关键词： Complementary therapy nonpharmacological interventions nurses pain management

Free vibration and transient response of double curved beams connected by intermediate straight beams

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 37-62页

作者： r.A.JAFArI-TALOOKOLAEI H.GHANDVAr E.JUMAEV S.KHATIr T.CUONG-LE School of Mechanical Engineering Babol Noshirvani University of Technology Department of Mechanical Engineering Faculty of Engineering New Uzbekistan University University of Business and Science Center for Engineering Application and Technology Solutions Ho Chi Minh City Open University

This paper investigates the free vibration and transient response of interconnected structures including double curved beams and intermediate straight beams,which are all constructed from functionally graded porous(FGP) materials. The strain potential and kinetic energies of each beam along with the work done by the external force are calculated. Additionally, a higher-order beam element is introduced to derive stiffness and mass matrices, along with the force vector. The curved and straight beams are discretized, and their assembled stiffness, mass matrices, and force vectors, are *** conditions at the joints are used to derive the total matrices of the entire structure. Subsequently, the natural frequencies and transient response of the system are determined. The accuracy of the mathematical model and the self-developed computer program is validated through the comparison of the obtained results with those of the existing literature and commercial software ANSYS, demonstrating excellent ***, a comprehensive study is conducted to investigate the effects of various parameters on the free vibration and transient response of the considered structure.

关键词： Kinetic energy

Chaotic Flower Pollination with Deep Learning Based COVID-19 Classification Model

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Computers, Materials & Continua 2023年第3期74卷 6195-6212页

作者： T.Gopalakrishnan Mohamed Yacin Sikkandar raed Abdullah alharbi P.Selvaraj Zahraa H.Kareem Ahmed Alkhayyat Ali Hashim Abbas Department of Information Technology Manipal Institute of Technology BengaluruManipal Academy of Higher EducationManipalIndia Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Public Health Department College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Computing Technologies College of Engineering and TechnologyFaculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonIraq College of Technical Engineering The Islamic UniversityNajafIraq College of Information Technology Imam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq

The Coronavirus Disease(COVID-19)pandemic has exposed the vulnerabilities of medical services across the globe,especially in underdeveloped *** the aftermath of the COVID-19 outbreak,a strong demand exists for developing novel computer-assisted diagnostic tools to execute rapid and cost-effective screenings in locations where many screenings cannot be executed using conventional *** imaging has become a crucial component in the disease diagnosis process,whereas X-rays and Computed Tomography(CT)scan imaging are employed in a deep network to diagnose the *** general,four steps are followed in image-based diagnostics and disease classification processes by making use of the neural networks,such as network training,feature extraction,model performance testing and optimal feature *** current research article devises a Chaotic Flower Pollination Algorithm with a Deep Learning-Driven Fusion(CFPADLDF)approach for detecting and classifying *** presented CFPA-DLDF model is developed by integrating two DL models to recognize COVID-19 in medical ***,the proposed CFPA-DLDF technique employs the Gabor Filtering(GF)approach to pre-process the input *** addition,a weighted voting-based ensemble model is employed for feature extraction,in which both VGG-19 and the MixNet models are ***,the CFPA with recurrent Neural Network(rNN)model is utilized for classification,showing the work’s novelty.A comparative analysis was conducted to demonstrate the enhanced performance of the proposed CFPADLDF model,and the results established the supremacy of the proposed CFPA-DLDF model over recent approaches.

关键词： Deep learning medical imaging fusion model chaotic models ensemble model COVID-19 detection