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X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques

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Computer Systems Science & Engineering 2022年第11期43卷 671-682页

作者： Shabana Habib Saleh Alyahya Aizaz ahmed Muhammad Islam Sheroz Khan Ishrat Khan Muhammad kamil Department of Information Technology College of ComputerQassim UniversityBuraidah52571Saudi Arabia Department of Electrical Engineering College of Engineering&Information TechnologyOnaizah CollegesOnaizah51911Saudi Arabia Digital Image Processing Lab Islamia CollegePeshawar25120KPKPakistan Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesPeshawarPakistan

In early December 2019,the city of Wuhan,China,reported an outbreak of coronavirus disease(COVID-19),caused by a novel severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).On January 30,2020,the World Health Organization(WHO)declared the outbreak a global pandemic *** the face of the COVID-19 pandemic,the most important step has been the effective diagnosis and monitoring of infected *** COVID-19 using Machine Learning(ML)technologies can help the health care unit through assistive diagnostic suggestions,which can reduce the health unit's burden to a certain *** paper investigates the possibilities of ML techniques in identifying/detecting COVID-19 patients including both conventional and exploring from chest X-ray images the effect of viral *** approach includes preprocessing,feature extraction,and ***,the features are extracted using the Histogram of Oriented(HOG)and Local Binary Pattern(LBP)feature ***,for the extracted features classification,six ML models of Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)is *** results show that the diagnostic accuracy of random forest classifier(RFC)on extracted HOG plusLBP features is as high as 94%followed by SVM at 93%.The sensitivity of the K-nearest neighbour model has reached an accuracy of 88%.Overall,the predicted approach has shown higher classification accuracy and effective diagnostic *** is a highly useful tool for clinical practitioners and radiologists to help them in diagnosing and tracking the cases of COVID-19.

关键词： Image pre-processing detection classification x-ray images filter

Solution combustion synthesis and electrochemical properties of yttrium-doped LiMnPO4/C cathode materials for lithium ion batteries

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Journal of Rare Earths 2020年第9期38卷 976-982,I0003页

作者： Redouan El Khalfaouy Servet Turan Miguel A.Rodriguez kamil Burak Dermenci Umut Savaci Abdellah Addaou Ali Laajeb ahmed Lahsini Sciences and Technologies of Process Engineering Laboratory Sidi Mohamed Ben Abdellah University30000FezMorocco Department of Material Science&Engineering Eskisehir Technical University2 Eylül Campus26555 TepebaşıEskişehirTurkey Instituto de Cerámica y Vidrio CSICC/Kelsen528049MadridSpain

Phospho-olivine pristine LiMnPO4/C and yttrium-substituted LiMn1-xYxPO4/C(x=0,0.01,0.03,0.05)were synthesized by a solution combustion *** effects of Y-doped on structure,morphology and electrochemical performances were *** powder X-ray diffraction pattern,all substituted materials adopt an identical structure to that of the LiMnPO4 olivine structure,suggesting that the yttrium ion was well inco rporated into the crystal lattice,without any changes in the host crystal *** electrochemical impedance spectroscopy provides clearly that yttrium-substituting reduces the charge transfer impedance and improves the lithium ion diffusion through the *** x=0.01,the material shows an excellent capacity and stability during charge/discharge *** initial specific discharge capacity can reach up to 156.84 mAh/g at C/20,with a coulombic efficiency of about 96.11%,which is 14%higher than that of the pristine *** results confirm that the cyclic stability and the electrochemical performances of LiMnPO4/C are highly improved by Y-doping.

关键词： LiMnPO4 cathode Olivine material Yttrium substitution Combustion Glycine Lithium-ion battery

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People Recognition via Tongue Print Using Deep and Machine Learning

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Journal of Artificial Intelligence and Technology 2023年第3期3卷 119-125页

作者： ahmed Shallal Obaid Mohammed Y.kamil Basaad Hadi Hamza College of Science Mustansiriyah UniversityBaghdadIraq

The tongue is a unique organ that is well protected inside the mouth and not affected by external factors;it is also difficult to *** biometric systems are widely used for authentication and recognition,such as fingerprints,faces,iris,sound,and *** biometrics represent a challenge and an obstacle as they can be falsified,duplicates can be made(e.g.,iris,face,fingers,and signature),or they are expensive and rarely used(e.g.,DNA).The increased security measures called for modern biometrics that is more secure,less expensive,and cannot be *** a result,the goal of this paper is to create a system for distinguishing people based on their tongue *** will contribute to solving many forensic issues and increasing electronic security because it has features suitable for identification and biometrically distinguishing between *** this paper,the tongue is located based on the fixed window size *** tongue localization,feature extraction using the VGG-16 model,and a classification system that uses both transfer learning and machine learning as VGG-16,XGBoost,KNN,and random forest classifiers,extracted features are then trained for personal *** dataset consisted of 1085 tongue images of 138 people with a test ratio of 20%,and the results achieved an accuracy of 92%.The process of distinguishing people through tongue prints has proven to be effective and accurate.

关键词： pattern recognition ROI texture recognition tongue VGG-16

Three new anthraquinone derivatives isolated from Symplocos racemosa and their antibiofilm activity

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Chinese Journal of Natural Medicines 2017年第12期15卷 944-949页

作者： Umar Farooq Sara Khan Sadia Naz Ajmal Khan Afsar Khan Ayaz ahmed Abdur Rauf Syed Majid Bukhari Shujaat Ali Khan Arfa kamil Nadia Riaz Abdur Rahman Khan Department of Chemistry COMSATS Institute of Information Technology Abbottabad-22060 Pakistan Dr. Panjwani Center for Molecular Medicine and Drug Research International Center for Chemical and Biological Sciences University of Karachi- 752 70 Pakistan Department of Geology University of Swabi Anbar-23430 KPK Pakistan Institute of Chemical Sciences University of Peshawar Peshawar 25120 Pakistan Department of Pharmaceutical Chemistry Faculty of Pharmacy Federal Urdu University of Arts Science and Technology Karachi Karachi 75300 Pakistan Department of Environmental Sciences COMSATS Institute of lnformation Technology Abbottabad-22060 Pakistan

Three new alkyl substituted anthraquinone derivatives, trivially named as symploquinones A-C(Compounds 1-3) were isolated from Symplocos racemosa. The structures of these compounds were determined on the basis of extensive spectroscopic analyses(UV, IR, Mass, ~1 H-and ^(13)C-NMR, and two-dimensional(2D) NMR techniques). The resulting data were also compared with the reported literature. These compounds were then subjected to antibacterial or antibiofilm testing. Compounds 1 and 3 exhibited good antibacterial activity in the concentration range of 160-83 μg·m L^(-1) against Streptococcus mutans, methicillin resistant Staphylococcus aureus and Proteus mirabilis. Both compounds were further screened for anti-biofilm activity, which revealed promising activities at sub-MIC concentrations. None of the compounds were found to be active against Klebsiella pneumoniae.

关键词： Symplocos racemosa Substituted anthraquinone Antibiofilm activity

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Brain CT Findings in First Episode Depression in Older Adults

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Open Journal of Psychiatry 2015年第1期5卷 39-42页

作者： Ezzat Abdel Azeem A. Awad Heba Mahmoud Fakher Hendawy ahmed kamil Alawady Salamat Polyclinic Hail Saudi Arabia Faculty of Medicine Psychiatry Department Ain Shams University Cairo Egypt Psychiatry Department Al-Azhar University Cairo Egypt

Introduction:?Different studies reported the strong relationship between cerebrovascular changes (CVC) and depression. Moreover, many researchers tried to correlate between the pathogenesis and location of the CVC and severity of depression. Methods: In this study we looked for the possibility of presence of CVC in patients with an age ranging from 60 - 75 years, presented to psychiatric clinics and hospitals in Hail, Saudi Arabia and diagnosed for the first time with depression. All patients have been diagnosed neither with cerebral attacks (CA) nor with depression. A cross sectional study was done on 149 patients. Hamilton rating scale (HRS) for depression was used to evaluate the severity of depression before staring any treatment. National institutes of health stroke scale (NIHSS) was applied for all the patients to exclude any possibility of CA. Brain CT was done to all patients to detect an evidence of CVC. Results: According to the CT findings, the patients were divided into four groups: Group 1 with normal CT findings;Group 2 with ischemic changes;Group 3 with single lacunar infraction;and Group 4 with multiple lacunar infarctions. After analyzing the results and correlating the severity of depression and CT findings in the four different groups we found significance in the correlation between severity of depression and the presence of minor strokes. Conclusions: A first episode of depression in older adult patients may indicate the presence of minor or silent stroke or CA.

关键词： CVC CA HRS NIHSS

Zinc-doped hydroxyapatite-zeolite/polycaprolactone composites coating on magnesium substrate for enhancing in-vitro corrosion and antibacterial performance

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Transactions of Nonferrous Metals Society of China 2020年第1期30卷 123-133页

作者： Nida IQBAL Saman IQBAL Tanveer IQBAL H.R.BAKHSHESHI-RAD ahmed ALSAKKAF Ahmad kamil Mohammed Rafiq ABDUL KADIR Mohd Hasbullah IDRIS H.Balaji RAGHAV Biomedical Engineering Centre University of Engineering and TechnologyKala Shah Kaku(KSK)CampusLahorePakistan Department of Physics University of the PunjabQuaid-e-Azam CampusLaborePakistan Department of Chemical Polymer&Composite Material Engineering University of Engineering and TechnologyKala Shah Kaku(KSK)New CampusLahorePakistan Advanced Materials Research Center Department of Materials EngineeringNajafabad BranchIslamic Azad UniversityNajafabadIran School of Mechanical Engineering Faculty of EngineeringUniversiti Teknologi MalaysiaJohorMalaysia Kulliyyah of Science International Islamic University MalaysiaBandar Indera Mahkota CampusJalan Sultan Ahmad Shah25200 KuantanPahang Darul MakmurMalaysia School of Biomedical Engineering and Health Sciences Faculty of EngineeringUniversiti Teknologi MalaysiaJohorMalaysia Tissue Engineering Group(TEG) National Orthopaedic Centre of Excellence in Research and Learning(NOCERAL)Department of Orthopaedic SurgeryFaculty of MedicineUniversity of Malaya50603 Lembah PantaiKuala LumpurMalaysia

This work is focused on developing zinc-doped hydroxyapatite-zeolite(Zn HA-Zeo)and polycaprolactone(PCL)composite coatings on magnesium(Mg)substrate to improve the corrosion resistance and antimicrobial ***-coating technique was used to coat Zn HA-Zeo/PCL on the Mg substrate at room *** samples were subjected to field emission scanning electron microscopy(FESEM),X-ray diffraction(XRD),Fourier transform infrared(FTIR),energy dispersive X-ray spectroscopy(EDX)and antimicrobial *** demonstrated that composite coatings consist of HA,scholzite,zeolite,and PCL *** spectra indicated the presence of calcium(Ca),silicon(Si),aluminum(Al),zinc(Zn),phosphorus(P)and oxygen(O).The composite surface appeared in spherical-like microstructure on coating with thickness ranging 226-260μ***-doped HA-Zeo composite coating had a high corrosion resistance and provided sufficient protection to the Mg surface against galvanic *** Zn HA-Zeo coating samples exhibited superior disc inhibition by confirming antimicrobial activity against the *** as compared to HA-Zeo *** these results showed that the Zn HA-Zeo coatings not only improved the corrosion resistance,but also enhanced the antimicrobial property and hence they can be used as suitable candidates for implant applications.

关键词： biodegradable magnesium bioceramics coating corrosion resistance antimicrobial activity

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A Convolutional Deep Neural Network Approach for miRNA Clustering

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Communications and Network 2024年第4期16卷 135-148页

作者： Ghada Ali Mohamed Shommo Hadia Abbas Mohammed Elsied Amira kamil Ibrahim Hassan Sara Elsir Mohamed ahmed Lamia Hassan Rahmatalla Mohamed Wafa Faisal Mukhtar Faculty of Computer Science & Information Technology Sudan University of Science & Technology Khartoum Sudan Faculty of Business Studies Department of MIS Sudan University of Science & Technology Khartoum Sudan School of Management Ahfad University for Women Omdurman Sudan Department of Management Information Systems College of Business Administration King Faisal University Hofuf Saudi Arabia

The regulatory role of the Micro-RNAs (miRNAs) in the messenger RNAs (mRNAs) gene expression is well understood by the biologists since some decades, even though the delving into specific aspects is in progress. Clustering is a cornerstone in bioinformatics research, offering a potent computational tool for analyzing diverse types of data encountered in genomics and related fields. MiRNA clustering plays a pivotal role in deciphering the intricate regulatory roles of miRNAs in biological systems. It uncovers novel biomarkers for disease diagnosis and prognosis and advances our understanding of gene regulatory networks and pathways implicated in health and disease, as well as drug discovery. Namely, we have implemented clustering procedure to find interrelations among miRNAs within clusters, and their relations to diseases. Deep clustering (DC) algorithms signify a departure from traditional clustering methods towards more sophisticated techniques, that can uncover intricate patterns and relationships within gene expression data. Deep learning (DL) models have shown remarkable success in various domains, and their application in genomics, especially for tasks like clustering, holding immense promise. The deep convolutional clustering procedure used is different from other traditional methods, demonstrating unbiased clustering results. In the paper, we implement the procedure on a Multiple Myeloma miRNA dataset publicly available on GEO platform, as a template of a cancer instance analysis, and hazard some biological issues.

关键词： miRNA Deep Clustering DeepTrust Convolutional Neural Network Recurrence Plot

Impacts of Date Palm Seeds （Phoenix dactyliferous L.） on Growth Indices and Nutrient Utilization of Common Carp Cyprinus carpio L,

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Journal of Agricultural Science and Technology(B) 2017年第4期7卷 280-284页

作者： Vian Mohammed ahmed Nasreen Mohialddin Abdulrahman Sarwar Abubaker HamaAmeen Bakhan Rafiq Hassan Abu Baker kamil Abbas Baxan Akram Hussen Idres Shexa Hamad Sana Abdulla Karem Kale Mamand Aziz Department of Animal Sciences College of Agricultural Sciences University of Sulaimani Sulaimaniya lraq

This study was carried out to study the effect of adding different levels of date palm seed （Phoentix dactyliJProus） powder in the diet of common carp （Cyprinus carpio） at fish laboratory of Animal Production Department, College of Agricultural Sciences, Sulaimani University, Sulaimani, Iraq. The actual experimental feeding trials were conducted for 70 d and the adaptation period for 21 d. A total of 81 common carp fingerlings weighted 62 ± 2 g were divided into three experimental groups. The control treatment T1 was with 0 g date palm seed, T2 with 2.5 g date palm seed per kg diet and T3 with 5 g date palm seed per kg diet. Each treatment was in three replicates in which three common carp fingerlings were stocked in each aquarium which fed the experimental diets twice daily. The results indicated that weight gain （WG） and specific growth rate （SGR） in the third treatment （T3） group were significantly higher than those of fish fed control diets. T2 consumed more diet than other treatments with 306.940 g with higher feed conversion ratio （FCR）; T3 was higher significantly in food efficiency. No significant （P 〈 0.05） differences obtained from consumed protein while the protein efficiency ratio was significantly higher in T3 with 319.323. Control was higher significantly in flesh weight without viscera with the third treatment; in flesh weight without head and viscera each the control and the second treatment was significantly higher than the third treatment. As a conclusion, the date palm seeds powder have a positive effect on growth performance of common carp.

关键词： Weight gain specific growth rate relative growth rate feed conversion ratio food efficiency protein efficiency ratio date palm seeds common carp.

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土壤压实度对马铃薯块茎工程性能的影响

农业工程技术 2020年第24期 86-86页

作者： Mohamed K.Edrris Khalid A.Al-Gaadi Abdalhaleem A.Hassaballa El kamil Tola Khalid A.M.ahmed Precision Agriculture Research Chair King Saud University Department of Agricultural Engineering College of Food and Agriculture Sciences King Saud University Department of Agricultural & Biological Engineering Faculty of Engineering Khartoum University Chair of Dates Industry and Technology King Saud University

在30hm;的场地上评估土壤压实度的变异性,并研究了其对马铃薯块茎形状和关键尺度（长度、宽度和厚度）的工程特性以及贯入阻力、破裂和剪切性能的影响。通过线性回归和ANOVA测试,研究了3种土壤压实度与马铃薯块茎工程性状的空间相关性... 详细信息

在30hm;的场地上评估土壤压实度的变异性,并研究了其对马铃薯块茎形状和关键尺度（长度、宽度和厚度）的工程特性以及贯入阻力、破裂和剪切性能的影响。通过线性回归和ANOVA测试,研究了3种土壤压实度与马铃薯块茎工程性状的空间相关性。三个压实度分别包括介于1.2-1.9MPa之间的较低等级（C1）,介于2.0-2.3MPa之间的中等等级（C2）,和介于2.4-2.9MPa之间的较高等级（C3）。结果表明,关键块茎尺寸并没有因土壤压实度的变异性而发生显著变化。然而,土壤压实度与长、宽、厚的关键块茎尺寸之间存在R2值分别为77%、97%和96%的负线性关系。同样地,土壤压实度对块茎抗压缩和剪切力性能没有影响。相比之下,块茎抗渗透力受到土壤压实（p>F=0.0012）的影响显著。

关键词：压实度马铃薯块茎精准农业马铃薯工程性能