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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

Visual resolution under photopic and mesopic conditions in patients with Sjogren's syndrome

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国际眼科杂志:英文版 2023年第10期16卷 1662-1669页

作者： Mosaad Alhassan amal Aldarwesh Issa Alessa Rafif Alhijji Reema Alduhayan Ali Almustanyir Department of Optometry College of Applied Medical SciencesKing Saud UniversityRiyadh 11433Saudi Arabia Imaging Research Department King Abdullah International Medical Research CenterKing Saud bin Abdelaziz University for Health SciencesRiyadh 11481Saudi Arabia

AIM:To focus on different visual resolution tasks under photopic and mesopic conditions in Sjogren’s syndrome patients compared to age-matched healthy ***:The visual resolution measurements included high and low visual acuities and contrast sensitivity *** tests were conducted under photopic and then mesopic ***-one Sjögren’s syndrome patients and 21 aged-matched healthy volunteers completed all the measurements in this ***:Sjogren’s syndrome patients have greater impairment in contrast sensitivity than standardized visual *** reduction was significant under the mesopic ***,Sjogren’s syndrome patients treated with pilocarpine suffer more than patients without pilocarpine treatment under low light ***:Sjogren’s syndrome patients shows greater impairment in different visual resolution tasks due to dry eye symptoms.

关键词： Sjogren’s syndrome dry eye visual acuity contrast sensitivity mesopic night vision

Smart Shoes Safety System for the Blind People Based on (IoT) Technology

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Computers, Materials & Continua 2023年第7期76卷 415-436页

作者： Ammar Almomani Mohammad Alauthman amal malkawi Hadeel Shwaihet Batool Aldigide Donia Aldabeek Karmen Abu Hamoodeh Research and Innovation Department Skyline University CollegeP.O.Box 1797SharjahUAE. IT-Department-Al-Huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan

People’s lives have become easier and simpler as technology has *** is especially true with the Internet of Things(IoT).The biggest problem for blind people is figuring out how to get where they want to *** with good eyesight need to help these *** shoes are a technique that helps blind people find their way when they ***,a special shoe has been made to help blind people walk safely without worrying about running into other people or solid *** this research,we are making a new safety system and a smart shoe for blind *** system is based on Internet of Things(IoT)technology and uses three ultrasonic sensors to allow users to hear and react to *** has ultrasonic sensors and a microprocessor that can tell how far away something is and if there are any *** and flame sensors were used,and a sound was used to let the person know if an obstacle was near *** sensors use Global Positioning System(GPS)technology to detect motion from almost every side to keep an eye on them and ensure they are *** test our proposal,we gave a questionnaire to 100 *** questionnaire has eleven questions,and 99.1%of the people who filled it out said that the product meets their needs.

关键词： IoT smart shoe sensors GSM GPS Arduino blind people safety system

Multifunctional GelMA platforms with nanomaterials for advanced tissue therapeutics

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Bioactive Materials 2022年第2期7卷 267-295页

作者： amal George Kurian Rajendra KSingh Kapil DPatel Jung-Hwan Lee Hae-Won Kim Institute of Tissue Regeneration Engineering(ITREN) Dankook UniversityCheonan31116Republic of Korea Department of Nanobiomedical Science&BK21 NBM Global Research Center for Regenerative Medicine Dankook UniversityCheonan31116Republic of Korea Biomaterials and Tissue Engineering UCL Eastman Dental InstituteLondonWC1X8LDUK Department of Biomaterials Science School of DentistryDankook UniversityCheonan31116Republic of Korea UCL Eastman-Korea Dental Medicine Innovation Centre Dankook UniversityCheonan31116Republic of Korea Cell&Matter Institute Dankook UniversityCheonan31116Republic of Korea Department of Regenerative Dental Medicine College of DentistryDankook UniversityCheonan31116Republic of Korea Mechanobiology Dental Medicine Research Center Dankook UniversityCheonan31116Republic of Korea

Polymeric hydrogels are fascinating platforms as 3D scaffolds for tissue repair and delivery systems of therapeutic molecules and *** others,methacrylated gelatin(GelMA)has become a representative hydrogel formulation,finding various biomedical *** efforts on GelMA-based hydrogels have been devoted to combining them with bioactive and functional nanomaterials,aiming to provide enhanced physicochemical and biological properties to *** benefits of this approach are multiple:i)reinforcing mechanical properties,ii)modulating viscoelastic property to allow 3D printability of bio-inks,iii)rendering electrical/magnetic property to produce electro-/magneto-active hydrogels for the repair of specific tissues(e.g.,muscle,nerve),iv)providing stimuli-responsiveness to actively deliver therapeutic molecules,and v)endowing therapeutic capacity in tissue repair process(e.g.,antioxidant effects).The nanomaterial-combined GelMA systems have shown significantly enhanced and extraordinary behaviors in various tissues(bone,skin,cardiac,and nerve)that are rarely observable with *** we systematically review these recent efforts in nanomaterials-combined GelMA hydrogels that are considered as next-generation multifunctional platforms for tissue *** approaches used in GelMA can also apply to other existing polymeric hydrogel systems.

关键词： GelMA hydrogel Nanomaterials Multifunctional Therapeutics Tissue repair

Naringenin suppresses NLRP3 inflammasome activation via the mRNA-208a signaling pathway in isoproterenol-induced myocardial infarction

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Asian Pacific Journal of Tropical Biomedicine 2023年第10期13卷 443-450页

作者： Ayman Eldourghamy Toka Hossam Mohammed Abdalla Hussein amal Abdel-Aziz Samir A.El-masry Environmental Biotechnology Department Genetic Engineering and Biotechnology Research InstituteSadat UniversityEgypt Department of Medical Labs Faculty of Applied Medical Sciences TechnologyOctober 6 UniversityEgypt Department of Biotechnology Faculty of Applied Health Sciences TechnologyOctober 6 UniversityEgypt Molecular Biology Department Genetic Engineering and Biotechnology Research InstituteSadat UniversityEgypt

Objective:To investigate the cardioprotective effect of naringenin against isoproterenol(ISO)-induced cardiotoxicity in ***:Rats were divided into five groups:the normal group,the ISO group(85 mg/kg b.w.);the ISO+naringenin(50 mg/kg b.w.)group,the ISO+naringenin(100 mg/kg b.w.)group and the ISO+propranolol(10 mg/kg b.w.)*** creatine kinase-MB(CK-MB),cardiac troponin T,lactate dehydrogenase,brain natriuretic peptide(BNP),and IL-10,as well as cardiac transforming growth factor-β1(TGF-β1),vascular endothelial growth factor(VEGF)and malondialdehyde(MDA)were *** addition,NLRP3 and mRNA-208a expressions were evaluated by RT-PCR *** examination was also performed to assess cardiac ***:Naringenin treatment significantly decreased plasma lactate dehydrogenase,CK-MB,cardiac troponin T,BNP,and IL-10,as well as cardiac TGF-β1,VEGF,and MDA while increasing p-Akt and superoxide dismutase in ISO-administered *** also reduced NLRP3 and mRNA-208a gene expression ***,naringenin improved ISO-induced cardiac ***:Naringenin attenuates myocardial dysfunction in ISO-treated rats by decreasing oxidative stress and increasing cardiac endogenous antioxidant system,which may be modulated partly by improvement of NLRP3 and mRNA-208a gene expression.

关键词： Naringenin Isoproterenol Myocardial infarction Antioxidants NLRP3 mRNA-208a

Significance of thermal stress in a convectiveradiative annular fin with magnetic field and heat generation: application of DTM and MRPSM

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Propulsion and Power Research 2022年第4期11卷 527-543页

作者： Ganeshappa Sowmya Fehmi Gamaoun amal Abdulrahman Ravikumar Shashikala Varun Kumar Ballajja Chandrappa Prasannakumara Department of Mathematics M S Ramaiah Institute of TechnologyBangalore-560054Karnataka560070India Department of Mechanical Engineering College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Department of Chemistry College of Science King Khalid UniversityAbha61421Saudi Arabia Department of Studies in Mathematics Davangere UniversityDavangereKarnataka577002India

The present paper explains the temperature attribute of a convective-radiative rectangular profiled annular fin with the impact of magnetic *** effect of thermal radiation,convection,and magnetic field on thermal stress distribution is also studied in this *** governing energy equation representing the steady-state heat conduction,convection,and radiation process is transformed into its dimensionless nonlinear ordinary differential equation(ODE)with corresponding boundary conditions using non-dimensional *** obtained ODE is then solved analytically by employing the Pade approximant-differential transform method(DTM)and modified residual power series method(MRPSM).Moreover,the important characteristics of the temperature field,the thermal stress,and the impact of some nondimensional parameters are inspected graphically,and a physical explanation is provided to aid in *** significant findings of the investigation reveal that temperature distribution enhances with an increase in the magnitude of the heat generation parameter and thermal conductivity parameter,but it gradually decreases with an increment of convectiveconductive parameter,Hartmann number,and radiative-conductive *** thermal stress distribution of the fin varies considerably in the applied magnetic field effect.

关键词： Annular fin Differential transform method(DTM) Magnetic field Modified residual power series method(MRPSM) Radiative heat transfer

Promising hollow multi-shelled structures:discovering the temporal-spatial ordering

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National Science Review 2020年第11期7卷 1763-1764页

作者： Rose amal School of Chemical Engineering University of New South Wales

Harvesting incident photons is the first step in a photo-induced process such as photocatalysis, photovoltaics or photodetection, which crucially governs the process performance. Unfortunately,extensive energy losses are observed in this step due to severe surface reflections and limited optical paths of the shortwavelength light [1]. Thus,

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The Prevalence and Risk Factors of Elder Abuse during the COVID-19 Pandemic in the Fayoum Governorate,Egypt

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Journal of Forensic Science and Medicine 2023年第3期9卷 257-263页

作者： Marwa Ali Mwaheb Asmaa Younis Elsary amal Raouf Saleh Department of Forensic Medicine and Clinical Toxicology Faculty of MedicineFayoum UniversityFaiyumEgypt Department of Public Health and Community Medicine Faculty of MedicineFayoum UniversityFaiyumEgypt

Background: Elder abuse has evolved into a global public health and human rights issue. COVID-19 had a significant impact on Egypt’s economic development and style of life. Aim: This research aimed to estimate the prevalence of elder abuse in the Fayoum Governorate of Egypt during the COVID-19 pandemic and assess the prevalence of different elder abuse subtypes and study the effect of different demographic characteristics on these abuse subtypes. Methods: This study was a cross-sectional, descriptive survey among 201 older adults aged 60 and above in the Fayoum Governorate. The structured questionnaire used in the study had three sections: demographic characteristics, the Hwalek- Sengstock elder abuse screening test, and the Questions to Elicit Elder Abuse screening tool. Results: This research documented that the prevalence of elder abuse was (72.6%) and the most prevalent types were emotional and neglect abuse (71.1% and 64.7%, respectively). In our study, 22.9% of older adults were exposed to a single type of abuse, 29.9% to two types, 26.9% to three types, and 10.4% to four types. Female is significantly higher than male abuse exposure (66.7% vs. 33.3%). 52.4% versus 7.1% were more likely to be abused than elderly persons who earn enough income. Conclusion: According to this study, emotional and neglect abuse were the most common types of elder abuse. Risk factors for elder abuse included being between the ages of 60 and 70 years, being a woman, residing in a rural location, being illiterate, jobless, married, earning little money, and belonging to a middle-class socioeconomic group. For the general public to better comprehend the consequences of elder abuse on their health and human rights, awareness and education must be increased.

关键词： Abuse Egypt elderly mistreatment old age

Data Mining with Comprehensive Oppositional Based Learning for Rainfall Prediction

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Computers, Materials & Continua 2023年第2期74卷 2725-2738页

作者： Mohammad Alamgeer amal Al-Rasheed Ahmad Alhindi Manar Ahmed Hamza Abdelwahed Motwakel Mohamed I.Eldesouki Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Computing and Information SystemMecca24382Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia

Data mining process involves a number of steps fromdata collection to visualization to identify useful data from massive data *** same time,the recent advances of machine learning(ML)and deep learning(DL)models can be utilized for effectual rainfall *** this motivation,this article develops a novel comprehensive oppositionalmoth flame optimization with deep learning for rainfall prediction(COMFO-DLRP)*** proposed CMFO-DLRP model mainly intends to predict the rainfall and thereby determine the environmental ***,data pre-processing and correlation matrix(CM)based feature selection processes are carried *** addition,deep belief network(DBN)model is applied for the effective prediction of rainfall ***,COMFO algorithm was derived by integrating the concepts of comprehensive oppositional based learning(COBL)with traditional MFO ***,the COMFO algorithm is employed for the optimal hyperparameter selection of the DBN *** demonstrating the improved outcomes of the COMFO-DLRP approach,a sequence of simulations were carried out and the outcomes are assessed under distinct *** simulation outcome highlighted the enhanced outcomes of the COMFO-DLRP method on the other techniques.

关键词： Data mining rainfall prediction deep learning correlation matrix hyperparameter tuning metaheuristics