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Developed Fall Detection of elderly Patients in Internet of Healthcare Things

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Computers, Materials & Continua 2023年第8期76卷 1689-1700页

作者： Omar reyad Hazem Ibrahim Shehata Mohamed Esmail Karar College of Computing and Information Technology Shaqra UniversityP.O.Box 33Shaqra11961Saudi Arabia Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Zagazig UniversityZagazig44519Egypt Faculty of electronic Engineering Menoufia UniversityMenouf32952Egypt

Falling is among the most harmful events older adults may *** the continuous growth of the aging population in many societies,developing effective fall detection mechanisms empowered by machine learning technologies and easily integrable with existing healthcare systems becomes *** paper presents a new healthcare Internet of Health Things(IoHT)architecture built around an ensemble machine learning-based fall detection system(FDS)for older *** to deep neural networks,the ensemble multi-stage random forest model allows the extraction of an optimal subset of fall detection features with minimal *** number of cascaded random forest stages is automatically *** study uses a public dataset of fall detection samples called SmartFall to validate the developed fall detection *** SmartFall dataset is collected based on the acquired measurements of the three-axis accelerometer in a *** scenario in this dataset is classified and labeled as a fall or a *** comparison to the three machine learning models—K-nearest neighbors(KNN),decision tree(DT),and standard random forest(SRF),the proposed ensemble classifier outperformed the other models and achieved 98.4%*** developed healthcare IoHT framework can be realized for detecting fall accidents of older people by taking security and privacy concerns into account in future work.

关键词： elderly population fall detection wireless sensor networks Internet of health things ensemble machine learning

Serum homocysteine,lipid profile and BMI as atherosclerotic risk factors in children with numerical chromosomal aberrations

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World Journal of Pediatrics 2022年第6期18卷 443-448页

作者： Eman R.Youness Sherien Mel-Daly Hanaa reyad Abdallah Hala T.el-Bassyouni Hisham Megahed Azzah A.Khedr Marwa elhady Walaa Alsharany Abuelhamd Medical Biochemistry Department Medical Research DivisionNational Research CentreGizaEgypt Biological Anthropology Department Medical Research DivisionNational Research CentreGizaEgypt Clinical Genetics Department Human Genetics and Genome Research DivisionNational Research CentreEl-Tahrir StreetPO:12622GizaEgypt Human Cytogenetics Department Human Genetics and Genome Research DivisionNational Research CentreGizaEgypt Pediatric Department Faculty of Medicine for GirlsAl-Azhar UniversityCairoEgypt Department of Pediatrics Faculty of MedicineCairo UniversityCairoEgypt

Down syndrome,Turner syndrome,and Klinefelter syndrome are the most common chromosomal disorders *** syndrome is caused by an extra copy of the 21st chromosome and has an incidence of 1 in 800 to 1000 live *** syndrom... 详细信息

关键词： chromosomal Turner Serum

Deep Forest-Based Fall Detection in Internet of Medical Things Environment

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Computer Systems Science & Engineering 2023年第6期45卷 2377-2389页

作者： Mohamed Esmail Karar Omar reyad Hazem Ibrahim Shehata College of Computing and Information Technology Shaqra UniversityP.O.Box 33Shaqra11961Saudi Arabia Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Faculty of Computers and Artificial IntelligenceSohag UniversitySohag82524Egypt Department of Computer and Systems Engineering Faculty of EngineeringZagazig UniversityZagazig44519Egypt

This article introduces a new medical internet of things(IoT)framework for intelligent fall detection system of senior people based on our proposed deep forest *** cascade multi-layer structure of deep forest classifier allows to generate new features at each level with minimal hyperparameters compared to deep neural ***,the optimal number of the deep forest layers is automatically estimated based on the early stopping criteria of validation accuracy value at each generated *** suggested forest classifier was successfully tested and evaluated using a public SmartFall dataset,which is acquired from three-axis accelerometer in a *** includes 92781 training samples and 91025 testing samples with two labeled classes,namely non-fall and *** results of our deep forest classifier demonstrated a superior performance with the best accuracy score of 98.0%compared to three machine learning models,i.e.,K-nearest neighbors,decision trees and traditional random forest,and two deep learning models,which are dense neural networks and convolutional neural *** considering security and privacy aspects in the future work,our proposed medical IoT framework for fall detection of old people is valid for real-time healthcare application deployment.

关键词： elderly population fall detection wireless sensor networks internet of medical things deep forest

Transcript shortening via alternative polyadenylation promotes gene expression during fracture healing

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Bone Research 2023年第1期11卷 163-177页

作者： Deepak Kumar Khajuria Irena Nowak Ming Leung Vengadeshprabhu Karuppagounder Yuka Imamura Christopher C.Norbury Fadia Kamal reyad A.elbarbary Department of Orthopaedics and Rehabilitation The Pennsylvania State University College of MedicineHersheyPA17033USA Center for Orthopaedic Research and Translational Science(CORTS) The Pennsylvania State University College of MedicineHersheyPA17033USA Institute for Personalized Medicine Penn State College of MedicineHersheyPA17033USA Department of Pharmacology The Pennsylvania State University College of MedicineHersheyPA17033USA Department of Microbiology and Immunology The Pennsylvania State University College of MedicineHersheyPA17033USA Department of Biochemistry and Molecular Biology The Pennsylvania State University College of MedicineHersheyPA17033USA Center for RNA Molecular Biology Pennsylvania State UniversityUniversity ParkPA16802USA

Maturation of the 3′end of almost all eukaryotic messenger RNAs(m RNAs)requires cleavage and *** mammalian m RNAs are polyadenylated at different sites within the last exon,generating alternative polyadenylation(APA)isoforms that have the same coding region but distinct 3′untranslated regions(UTRs).The 3′UTR contains motifs that regulate m RNA metabolism;thus,changing the 3′UTR length via APA can significantly affect gene *** ossification is a central process in bone healing,but the impact of APA on gene expression during this process is ***,we report the widespread occurrence of APA,which impacts multiple pathways that are known to participate in bone ***,the progression of endochondral ossification involves global 3′UTR shortening,which is coupled with an increased abundance of shortened transcripts relative to other transcripts;these results highlight the role of APA in promoting gene expression during endochondral bone *** mechanistic studies of transcripts that undergo APA in the fracture callus revealed an intricate regulatory network in which APA enhances the expression of the collagen,type I,alpha 1(Col1a1)and Col1a2 genes,which encode the 2 subunits of the abundantly expressed protein collagen *** exerts this effect by shortening the 3′UTRs of the Col1a1 and Col1a2 m RNAs,thus removing the binding sites of mi R-29a-3p,which would otherwise strongly promote the degradation of both *** together,our study is the first to characterize the crucial roles of APA in regulating the 3′UTR landscape and modulating gene expression during fracture healing.

关键词： healing metabolism shortening

Adsorptive potential of Acacia nilotica based adsorbent for chromium(Ⅵ) from an aqueous phase

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Chinese Journal of Chemical Engineering 2018年第3期26卷 614-622页

作者： Raza Khalid Zaheer Aslam Aamir Abbas Waqar Ahmad Naveed Ramzan reyad Shawabkeh Department of Chemical Engineering University of Engineering and Technology Lahore 54890 Pakistan Department of Chemical Engineering King Fahd University of Petroleum and Minerals Dhahron 31261 Saudi Arabia

The objective of this research was to enhance adsorption capacity of Acacia nilotica(keekar) sawdust for the abatement of chromium bearing wastewater and to investigate the effect of process parameters on adsorption capacity. The sawdust was activated by acid wash and functionalized subsequently with *** of activated sawdust raised its chromium removal efficiency of almost 10% as compared to its adsorption removal efficiency of HCl treated sawdust in a batch adsorption study. Adsorption kinetic data provided better fitting with pseudo second order model. Maximum adsorption capacity calculated through the best fitting Langmuir model was 6.34 mg·g^(-1) and 8.2 mg·g^(-1) for HCl treated and formaldehyde functionalized sawdust adsorbents, respectively. The adsorption of Cr(Ⅵ) was endothermic when studied by varying temperature from 20 °C to 50 °C for both activated and functionalized adsorbents.

关键词：吸附物相思树废水铬吸附能力移动效率运动数据 HCl

SeqCor:correct the effect of guide RNA sequences in clustered regularly interspaced short palindromic repeats/Cas9 screening by machine learning algorithm

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Journal of Genetics and Genomics 2020年第11期47卷 672-680页

作者： Xiaojian Liu Yuanyuan Yang Yan Qiu Md reyad-ul-ferdous Qiurong Ding Yi Wang CAS Key Laboratory of Nutrition Metabolism and Food SafetyShanghai Institute of Nutrition and HealthShanghai Institutes for Biological SciencesUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Institute for Stem Cell and Regeneration Chinese Academy of SciencesBeijing 100101China Ministry of Education Key Laboratory of Contemporary Anthropology Department of Anthropology and Human GeneticsSchool of Life SciencesFudan UniversityShanghai 200438China Human Phenome Institute Fudan UniversityShanghai 200438China

Clustered regularly interspaced short palindromic repeats(CRISPR)/Cas9-based screening using various guide RNA(g RNA)libraries has been executed to identify functional components for a wide range of phenotypes with regard to numerous cell types and *** data from public CRISPR/Cas9-based screening experiments,we found that the sequences of g RNAs in the library influence CRISPR/Cas9-based *** building a standard strategy for correcting results of all g RNA libraries is impractical,we developed Seq Cor,an open-source programming bundle that enables researchers to address the result bias potentially triggered by the composition of g RNA sequences via the organization of g RNA in the library used in CRISPR/Cas9-based ***,Seq Cor completely computerizes the extraction of sequence features that may influence single-guide RNA knockout efficiency using a machine learning *** together,we have developed a software program bundle that ought to be beneficial to the CRISPR/Cas9-based screening platform.

关键词： SeqCor CRISPR/Cas9-based screening Machine learning

Intelligent IoT-Aided Early Sound Detection of Red Palm Weevils

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Computers, Materials & Continua 2021年第12期69卷 4095-4111页

作者： Mohamed Esmail Karar Omar reyad Abdel-Haleem Abdel-Aty Saud Owyed Mohd F.Hassan College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Department of Industrial electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityEgypt Faculty of Science Sohag UniversitySohag82524Egypt Department of Physics College of SciencesUniversity of BishaBisha61922Saudi Arabia Department of Mathematics College of SciencesUniversity of BishaBisha61922Saudi Arabia Department of Computer and Information Science CeRDaSUniversiti Teknologi PetronasMalaysia

Smart precision agriculture utilizes modern information and wireless communication technologies to achieve challenging agricultural ***,Internet of Things(IoT)technology can be applied to monitor and detect harmful insect pests such as red palm weevils(RPWs)in the farms of date palm *** this paper,we propose a new IoT-based framework for early sound detection of RPWs using fine-tuned transfer learning classifier,namely *** sound sensors,namely TreeVibes devices are carefully mounted on each palm trunk to setup wireless sensor networks in the *** trees are labeled based on the sensor node number to identify the infested ***,the acquired audio signals are sent to a cloud server for further on-line analysis by our fine-tuned deep transfer learning model,i.e.,*** proposed infestation classifier has been successfully validated on the public TreeVibes *** includes total short recordings of 1754 samples,such that the clean and infested signals are 1754 and 731 samples,*** to other deep learning models in the literature,our proposed InceptionResNet-V2 classifier achieved the best performance on the public database of TreeVibes audio *** resulted classification accuracy score was 97.18%.Using 10-fold cross validation,the fine-tuned InceptionResNet-V2 achieved the best average accuracy score and standard deviation of 94.53%and±1.69,*** the proposed intelligent IoT-aided detection system of RPWs in date palm farms is the main prospect of this research work.

关键词： Red palm weevils smart precision agriculture internet of things artificial intelligence

Numerical Investigation of a Mixed Convection Flow in a Lid-Driven Cavity

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American Journal of Computational Mathematics 2016年第3期6卷 251-258页

作者： reyad Omari Department of Mathematics Al-Balqa Applied University Irbid University College Irbid Jordan

This study is devoted to the computational fluid dynamics (CFD) modeling of steady laminar mixed convection flow and heat transfer in lid driven cavity (10 ≤ Re ≤ 1000). The ratio of the height to the width of the cavity is ranged over H/L = 0.5 to 1.5. The governing equations are solved using commercial finite volume package FLUENT to visualize the nature of the flow and estimate the heat transfer inside the cavity for different aspect ratio. The simulation results are presented in terms of average Nusselt number of the hot wall, velocity profile, and temperature contours. It was found that the average Nusselt number inside the cavity is strongly governed by the aspect ratio as well as the Reynolds number. A parametric study is conducted to demonstrate the effect of aspect ratio on the flow and heat transfer characteristics. It is found that heat transfer enhancement was obtained by decreasing the aspect ratio and/or increasing the Reynolds number.

关键词： CFD Simulation Mixed Convection Lid Driven Cavity

Lightweight Transfer Learning Models for Ultrasound-Guided Classification of COVID-19 Patients

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Computers, Materials & Continua 2021年第11期69卷 2295-2312页

作者： Mohamed Esmail Karar Omar reyad Mohammed Abd-elnaby Abdel-Haleem Abdel-Aty Marwa Ahmed Shouman College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Department of Industrial electronics and Control Engineering Faculty of Electronic Engineering(FEE)Menoufia UniversityMenouf32952Egypt Department of Mathematics and Computer Science Faculty of ScienceSohag UniversitySohag82524Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Physics College of SciencesUniversity of BishaBisha61922Saudi Arabia Department of Physics Faculty of ScienceAl-Azhar UniversityAssiut71524Egypt Department of Computer Science and Engineering Faculty of Electronic Engineering(FEE)Menoufia UniversityMenouf32952Egypt

Lightweight deep convolutional neural networks(CNNs)present a good solution to achieve fast and accurate image-guided diagnostic procedures of COVID-19 ***,advantages of portable Ultrasound(US)imaging such as simplicity and safe procedures have attracted many radiologists for scanning suspected COVID-19 *** this paper,a new framework of lightweight deep learning classifiers,namely COVID-LWNet is proposed to identify COVID-19 and pneumonia abnormalities in US *** to traditional deep learning models,lightweight CNNs showed significant performance of real-time vision applications by using mobile devices with limited hardware *** main lightweight deep learning models,namely MobileNets,ShuffleNets,MENet and MnasNet have been proposed to identify the health status of lungs using US *** image dataset(POCUS)was used to validate our proposed COVID-LWNet framework *** classes of infectious COVID-19,bacterial pneumonia,and the healthy lung were investigated in this *** results showed that the performance of our proposed MnasNet classifier achieved the best accuracy score and shortest training time of 99.0%and 647.0 s,*** paper demonstrates the feasibility of using our proposed COVID-LWNet framework as a new mobilebased radiological tool for clinical diagnosis of COVID-19 and other lung diseases.

关键词： Coronavirus medical image processing artificial intelligence ultrasound