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Malaria Parasite Detection Using a Quantum-Convolutional Network

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Computers, Materials & Continua 2022年第3期70卷 6023-6039页

作者： Javaria Amin Muhammad Almas Anjum Abida sharif Mudassar Raza Seifedine Kadry Yunyoung Nam University of Wah Wah CanttPakistan National University of Technology(NUTECH) IslamabadPakistan COMSATS University Islamabad Vehari CampusVehariPakistan COMSATS University Islamabad Wah CampusPakistan Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

Malaria is a severe illness triggered by parasites that spreads via mosquito *** underdeveloped nations,malaria is one of the top causes of mortality,and it is mainly diagnosed through ***-assisted malaria diagnosis is difficult owing to the fine-grained differences throughout the presentation of some uninfected and infected ***,in this study,we present a new idea based on the ensemble quantum-classical framework for malaria *** methods comprise three core steps:localization,segmentation,and *** the first core step,an improved FRCNN model is proposed for the localization of the infected malaria ***,the RGB localized images were converted into YCbCr channels to normalize the image intensity ***,the actual lesion region was segmented using a histogram-based color thresholding *** segmented images were employed for classification in two different *** the first method,a CNN model is developed by the selection of optimum layers after extensive experimentation,and the final computed feature vector is passed to the softmax layer for classification of the infection/non-infection of themicroscopicmalaria ***,a quantum-convolutionalmodel is employed for informative feature extraction from microscopicmalaria images,and the extracted feature vectors are supplied to the softmax layer for ***,classification results were analyzed from two different models and concluded that the quantum-convolutional model achieved maximum accuracy as compared to *** proposed models attain a precision rate greater than 90%,thereby proving that these models performed better than the existing models.

关键词： Quantum convolutional RGB YCbCr histogram Malaria

Citalopram increases the differentiation efficacy of bone marrow mesenchymal stem cells into neuronal-like cells

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Neural Regeneration Research 2014年第8期9卷 845-850页

作者： Javad Verdi Seyed Abdolreza Mortazavi-Tabatabaei Shiva sharif Hadi Verdi Alireza Shoae-Hassani Department of Applied Cell Sciences School of Advanced Technologies in MedicineTehran University of Medical Sciences Department of Stem Cells and Tissue Engineering Research Center for Science and Technology in MedicineTehran University of Medical Sciences Department of Tissue Engineering School of Advanced Technologies in MedicineIran University of Medical Sciences

Several studies have demonstrated that selective serotonin reuptake inhibitor antidepressants can promote neuronal cell proliferation and enhance neuroplasticity both in vitro and in vivo. It is hypothesized that citalopram, a selective serotonin reuptake inhibitor, can promote the neuronal differentiation of adult bone marrow mesenchymal stem cells. Citalopram strongly enhanced neuronal characteristics of the cells derived from bone marrow mesenchymal stem cells. The rate of cell death was decreased in citalopram-treated bone marrow mesenchymal stem cells than in control cells in neurobasal medium. In addition, the cumulative population doubling level of the citalopram-treated cells was signiifcantly increased compared to that of control cells. Also BrdU incorporation was elevated in citalopram-treated cells. These ifndings suggest that citalopram can improve the neuronal-like cell differentiation of bone marrow mesenchymal stem cells by increasing cell proliferation and survival while maintaining their neuronal characteristics.

关键词： nerve regeneration citalopram stem cells bone marrow mesenchymal stem cells survival proliferation differentiation neurons neural regeneration

Aortic stenosis and Heyde’s syndrome:A comprehensive review

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World Journal of Clinical Cases 2021年第25期9卷 7319-7329页

作者： Dennisdhilak Lourdusamy Vamsee Krishna Mupparaju Navila Fahmida sharif Uzoma N Ibebuogu Internal Medicine Methodist South HospitalMemphisTN 38116United States Internal Medicine University of Tennessee Health Science CenterMemphisTN 38103United States Cardiovascular Diseases University of Tennessee Health Science CenterMemphisTN 38163United States

Heyde’s syndrome is an under reported systemic disease of gastrointestinal and cardiac manifestation in older *** is characterized by a triad of aortic stenosis,angiodysplasia with bleeding and acquired von Willebrand *** is characterized by proteolysis of high molecular weight multimers of von Willebrand Factor and loss of platelet mediated ***’s syndrome is a treatable condition in most cases,especially in the current era of evolution in interventional cardiology and *** are currently no established guidelines in the management of this condition due to paucity of high quality studies,which warrant future *** index of suspicion and increasing the awareness of the syndrome among the general practitioners and sub-specialists will improve the diagnostic potential of Heyde’s *** studies may change the management aspect of Heyde's syndrome and pave a path for drawing specific guidelines and *** aim of our review article is to summarize the basic pathophysiology,diagnostics and management of Heyde’s syndrome with a special attention to Transcatheter aortic valve replacement.

关键词： Heyde's syndrome Aortic stenosis Angiodysplasia Transcatheter aortic valve replacement Gastrointestinal bleed Anti platelet

Diagnosis of COVID-19 Infection Using Three-Dimensional Semantic Segmentation and Classification of Computed Tomography Images

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Computers, Materials & Continua 2021年第8期68卷 2451-2467页

作者： Javaria Amin Muhammad sharif Muhammad Almas Anjum Yunyoung Nam Seifedine Kadry David Taniar Department of Computer Science University of Wah47040Pakistan Department of Computer Science Comsats University IslamabadWah Campus47040Pakistan College of Electrical and Mechanical Engineering National University of Sciences&Technology(NUST)Islamabad44000Pakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea Department of Mathematics and Computer Science Faculty of ScienceBeirut Arab University115020Lebanon Faculty of Information Technology Monash UniversityClaytonVictoria3800Australia

Coronavirus 19(COVID-19)can cause severe pneumonia that may be *** diagnosis is *** tomography(CT)usefully detects symptoms of COVID-19 *** this retrospective study,we present an improved framework for detection of COVID-19 infection on CT images;the steps include pre-processing,segmentation,feature extraction/fusion/selection,and *** the pre-processing phase,a Gabor wavelet filter is applied to enhance image intensities.A marker-based,watershed controlled approach with thresholding is used to isolate the lung *** the segmentation phase,COVID-19 lesions are segmented using an encoder-/decoder-based deep learning model in which deepLabv3 serves as the bottleneck and mobilenetv2 as the classification ***3 is an effective decoder that helps to refine segmentation of lesion *** model was trained using fine-tuned hyperparameters selected after extensive ***,the Gray Level Co-occurrence Matrix(GLCM)features and statistical features including circularity,area,and perimeters were computed for each segmented *** computed features were serially fused and the best features(those that were optimally discriminatory)selected using a Genetic Algorithm(GA)for *** performance of the method was evaluated using two benchmark datasets:The COVID-19 Segmentation and the POF Hospital *** results were better than those of existing methods.

关键词： Deeplabv3 fusion genetic algorithm gabor watershed

High efficiency CZTSSe solar cells enabled by dual Ag-passivation approach via aqueous solution process

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Journal of Energy Chemistry 2023年第2期77卷 239-246,I0007页

作者： Temujin Enkhbat Enkhjargal Enkhbayar Namuundari Otgontamir Md Hamim sharif Md Salahuddin Mina Seong Yeon Kim JunHo Kim Department of Physics Incheon National UniversityIncheon 22012Republic of Korea Research Center for Thin Film Solar Cells Daegu-Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea Global Energy Research Center for Carbon Neutrality Incheon National UniversityIncheon 22012Republic of Korea

Ag substitution in Cu_(2)ZnSn(S,Se)_(4)(CZTSSe)is a promising way to mitigate Cu/Zn related defects,electrostatic fluctuations and Shockley-Read-Hall(SRH)recombination ***,high performance ACZTSSe solar cells are generally demonstrated with more Ag amounts and strenuous fabrication processes,which are not ideal when using cheap constituent materials *** reduce the Ag amount(2%-3%),local Ag substitutions into CZTSSe at front(F),back(B)and dual front/back(FB)were *** results revealed that F-passivation effectively reduced the Cu/Zn related defects and further limits the interface/bulk recombination whereas B-passivation improved the grain growth at the back interface and further allows enhanced transport of charge *** employing the dual Agpassivation approach,the final ACZTSSe device parameters were significantly improved and remarkable power conversion efficiency(PCE)of 12.43%was achieved with eco-friendly aqueous solution process.

关键词： Ag-doped CZTSSe Dual surface passivation Defect passivation Aqueous spray deposition

Two novel approaches of adaptive finite-time sliding mode control for a class of single-input multiple-output uncertain nonlinear systems

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IET Cyber-Systems and Robotics 2021年第2期3卷 173-183页

作者： Pooyan Alinaghi Hosseinabadi Ali Soltani sharif Abadi Saad Mekhilef Hemanshu Roy Pota Power Electronics and Renewable Energy Research Laboratory(PEARL) Department of Electrical EngineeringUniversity of MalayaFaculty of EngineeringKuala LumpurMalaysia Department of Electrical Engineering Yazd UniversityFaculty of EngineeringYazdIran School of Software and Electrical Engineering Swinburne University of TechnologyVictoriaAustralia School of Engineering and Information Technology The University of New South WalesCanberraAustralia

Some systems,in spite of having multiple outputs,have only one control input,which makes their control a *** novel controllers are proposed that utilise an adaptive finite-time sliding mode control(AFSMC)scheme for a class of single-input multiple-output(SIMO)nonlinear systems in the presence of unknown mismatched *** alleviate the inherent chattering phenomenon of sliding mode control,new forms of the two designed controllers are suggested by using new sliding *** only can the proposed AFSMC scheme stabilise the system in a finite time,but also it can provide estimated data of the uncertainty upper bound in the *** stability theory is used to obtain finite-time stability analysis of the closed-loop ***,simulation results are carried out in Simulink/MATLAB for a four-dimensional autonomous hyper-chaotic system with mismatched uncertainties as an example of SIMO uncertain nonlinear systems to reveal the effectiveness of the proposed controllers.

关键词： finite nonlinear stability

Antibacterial Behavior of Laser-Ablated Copper Nanoparticles

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Acta Metallurgica Sinica(English Letters) 2016年第8期29卷 748-754页

作者： hina khalid shamaila shamaila nosheen zafar rehana sharif jawad nazir mohammad rafique sheeba ghani hussain saba Department of Physics University of Engineering and Technology Department of Microbiology University of Veterinary and Animal Sciences

Copper nanoparticles（Cu NPs） have been synthesized by using laser ablation method,using deionized water as main *** formation of Cu NPs is confirmed by UV-visible spectrophotometer（UV-Vis）,atomic force microscopy（AFM） and X-ray diffraction（XRD）.Cu NPs fabricated by laser ablation have diameter in the range from 14 to 55 *** analysis revealed the face-centered cubic（fcc） crystal structure of Cu *** antibacterial activity of Cu NPs has been evaluated in vitro against strains of Escherichia coli（***） and Staphylococcus aureus（***）.The fabricated Cu NPs show considerable antibacterial activity against both bacterial *** bacterial activity of Cu NPs was found to depend on the microbial species.

关键词： Laser-ablated nanoparticles UV-visible spectrophotometer Atomic force microscopy(AFM) Escherichia coli Staphylococcus aureus

Automatic Data Clustering Based Mean Best Artificial Bee Colony Algorithm

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Computers, Materials & Continua 2021年第8期68卷 1575-1593页

作者： Ayat Alrosan Waleed Alomoush Mohammed Alswaitti Khalid Alissa Shahnorbanun Sahran sharif Naser Makhadmeh Kamal Alieyan Deanship of Information and Communication Technology Imam Abdulrahman bin Faisal UniversityDammamSaudi Arabia Computer Department Imam Abdulrahman bin Faisal UniversityDammamSaudi Arabia School of Electrical and Computer Engineering Department of Information and Communication TechnologyXiamen University MalaysiaSepang43900Malaysia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman bin Faisal UniversityDammamSaudi Arabia Center for Artificial Intelligence Technology(CAIT) Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiMalaysia School of Computer Sciences Universiti Sains Malaysia11800PenangMalaysia Faculty of Computer Sciences and Informatics Amman Arab UniversityAmmanJordan

Fuzzy C-means(FCM)is a clustering method that falls under unsupervised machine *** main issues plaguing this clustering algorithm are the number of the unknown clusters within a particular dataset and initialization sensitivity of cluster *** Bee Colony(ABC)is a type of swarm algorithm that strives to improve the members’solution quality as an iterative process with the utilization of particular kinds of ***,ABC has some weaknesses,such as balancing exploration and *** improve the exploration process within the ABC algorithm,the mean artificial bee colony(MeanABC)by its modified search equation that depends on solutions of mean previous and global best is ***,to solve the main issues of FCM,Automatic clustering algorithm was proposed based on the mean artificial bee colony called(AC-MeanABC).It uses the MeanABC capability of balancing between exploration and exploitation and its capacity to explore the positive and negative directions in search space to find the best value of clusters number and centroids value.A few benchmark datasets and a set of natural images were used to evaluate the effectiveness of *** experimental findings are encouraging and indicate considerable improvements compared to other state-of-the-art approaches in the same domain.

关键词： Artificial bee colony automatic clustering natural images validity index number of clusters

Spectroscopic Study of a Radio-Frequency Atmospheric Pressure Dielectric Barrier Discharge with Anodic Alumina as the Dielectric

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Plasma Science and Technology 2013年第9期15卷 900-903页

作者： H.I.A.QAZI M.sharif S.HUSSAIN M.A.BADAR H.AFZAL Department of Physics University of SargodhaSargodha 40100Pakistan Department of Physics GC UniversityFaisalabad 38000Pakistan

This paper presents the fabrication and a spectroscopic study of a stable radio- frequency dielectric barrier discharge （RF DBD） in Ar with a novel dielectric, anodic alumina, at atmospheric pressure. Dielectric electrodes are fabricated from commercially available low cost impure aluminum strips by a two-step anodization process in 0.3 M solution of oxalic acid. The discharge is found to be stable with excellent spatial uniformity for the RF input power range of 30～80 W. Excitation and rotational temperatures measured in the experiment range of 1472～3255 K and 434～484 K, respectively, as the input power changes from 30 W to 80 W. These temperature ranges are suitable for surface modification applications.

关键词： radio frequency atmospheric pressure glow discharge dielectric barrier dis-charge anodic alumina dielectric