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Open Journal of Nursing 2023年第1期13卷 65-79页

作者： Muna Alshammari manjushambika rajagopal Chitra Vellolikalam Zuhour Alshammari College of Nursing The Public Authority for Applied Education & Training Adailiyah Kuwait

The aim of this study was to explore the perception of male nursing students’ experiences and challenges in maternity clinical practice. A quantitative cross-sectional survey design was used. The self-administered questionnaire included 18 items 5-point Likert scale to identify the challenges experienced by male nursing students in their maternity clinical practice, and 14 items to assess comfort level in performing procedures in maternity clinical areas. Participants were 93 male nursing students who had completed their maternity clinical posting in different maternity clinical areas as a part of their nursing program, at the College of Nursing, Kuwait. Results showed that male nursing students are not very keen on undergoing maternity clinical training (Chi-square analysis χ2 = 96.939;P χ2 = 108.638;P χ2 = 5.297;P = 0.021). In conclusion, this study showed that being treated differently and being refused to provide care to clients were the main challenges faced by male nursing students during their maternity practice. The participants had a strong belief that they will not be accepted by maternity clients because of the gender difference and cultural influence. There is a need to design strategies in both academic and clinical settings to overcome barriers to male nursing students’ engagement in the various maternity care areas. Our findings also indicate the need to embrace gender diversity in maternity clinical practice and call for professionalism, gender and cultural awareness creation, and advocacy.

关键词： Male Nursing Students Challenges Gender Maternity Clinical Practice Kuwait

Entanglement and Volume Monogamy Features of Permutation Symmetric N-Qubit Pure States with N-Distinct Spinors: GHZ and States

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Journal of Quantum Information Science 2024年第2期14卷 29-51页

作者： Sudha Alevoor Raghavendra Usha Devi Akshata Shenoy Hejamadi Hosapete Seshadri Karthik Humera Talath Bada Palaiah Govindaraja Attipat Krishnaswamy rajagopal Department of Physics Kuvempu University Shimoga India Inspire Institute Inc. Alexandria Virginia USA Department of Physics Bangalore University Bangalore India International Centre for Theory of Quantum Technologies University of Gdnsk Gdnsk Poland

We explore the entanglement features of pure symmetric N-qubit states characterized by N-distinct spinors with a particular focus on the Greenberger-Horne-Zeilinger (GHZ) states and , an equal superposition of W and obverse W states. Along with a comparison of pairwise entanglement and monogamy properties, we explore the geometric information contained in them by constructing their canonical steering ellipsoids. We obtain the volume monogamy relations satisfied by states as a function of number of qubits and compare with the maximal monogamy property of GHZ states.

关键词： Permutation Symmetric States Monogamy Pairwise Entanglement

Quick Line Outage Identification in Urban Distribution Grids via Smart Meters

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CSEE Journal of Power and Energy Systems 2022年第4期8卷 1074-1086页

作者： Yizheng Liao Yang Weng Cin-Woo Tan Ram rajagopal Department of Civil and Environmental Engineering Stanford UniversityStanfordCA94305USA School of Electrical Computingand Energy EngineeringArizona State UniversityTempeAZ85287USA

The growing integration of distributed energy resources(DERs)in distribution grids raises various reliability issues due to DER's uncertain and complex *** large-scale DER penetration in distribution grids,traditional outage detection methods,which rely on customers report and smart meters'“last gasp”signals,will have poor performance,because renewable generators and storage and the mesh structure in urban distribution grids can continue supplying power after line *** address these challenges,we propose a datadriven outage monitoring approach based on the stochastic time series analysis with a theoretical ***,we prove via power flow analysis that dependency of time-series voltage measurements exhibits significant statistical changes after line *** makes the theory on optimal change-point detection suitable to identify line ***,existing change point detection methods require post-outage voltage distribution,which are unknown in distribution ***,we design a maximum likelihood estimator to directly learn distribution parameters from voltage *** prove the estimated parameters-based detection also achieves optimal performance,making it extremely useful for fast distribution grid outage ***,since smart meters have been widely installed in distribution grids and advanced infrastructure(e.g,PMU)has not widely been available,our approach only requires voltage magnitude for quick outage *** results show highly accurate outage identification in eight distribution grids with 17 configurations with and without DERs using smart meter data.

关键词： Power distribution network outage detection outage identification voltage measurement change point detection graphical model

Brain Tumor:Hybrid Feature Extraction Based on UNet and 3DCNN

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Computer Systems Science & Engineering 2023年第5期45卷 2093-2109页

作者： Sureshkumar rajagopal Tamilvizhi Thanarajan Youseef Alotaibi Saleh Alghamdi Center for System Design Chennai Institute of TechnologyChennai600069India Department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Automated segmentation of brain tumors using Magnetic Resonance Imaging(MRI)data is critical in the analysis and monitoring of disease *** a result,gliomas are aggressive and diverse tumors that may be split into intra-tumoral groups by using effective and accurate segmentation *** is intended to extract characteristics from an image using the Gray Level Co-occurrence(GLC)matrix feature extraction method described in the proposed *** Convolutional Neural Networks(CNNs),which are commonly used in biomedical image segmentation,CNNs have significantly improved the precision of the state-of-the-art segmentation of a brain *** two segmentation networks,a U-Net and a 3D CNN,we present a major yet easy combinative technique that results in improved and more precise *** U-Net and 3D CNN are used together in this study to get better and more accurate estimates of what is going *** the dataset,two models were developed and assessed to provide segmentation maps that differed fundamentally in terms of the segmented tumour ***,the estimates was made by two separate models that were put together to produce the final *** comparison to current state-of-the-art designs,the precision(percentage)was 98.35,98.5,and 99.4 on the validation set for tumor core,enhanced tumor,and whole tumor,respectively.

关键词： Medical imaging segmentation U-net 3D CNN brain tumor

The Correlation Coefficient of Hesitancy Fuzzy Graphs in Decision Making

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Computer Systems Science & Engineering 2023年第7期46卷 579-596页

作者： N.rajagopal Reddy S.Sharief Basha School of Advanced Sciences Vellore Institute of TechnologyVellore632014TamilnaduIndia

The hesitancy fuzzy graphs(HFGs),an extension of fuzzy graphs,are useful tools for dealing with ambiguity and uncertainty in issues involving decision-making(DM).This research implements a correlation coefficient measure(CCM)to assess the strength of the association between HFGs in this article since CCMs have a high capacity to process and interpret *** CCM that is proposed between the HFGs has better qualities than the existing *** lowers restrictions on the hesitant fuzzy elements’length and may be used to establish whether the HFGs are connected negatively or ***,a CCMbased attribute DM approach is built into a hesitant fuzzy *** article suggests the use of weighted correlation coefficient measures(WCCMs)using the CCM concept to quantify the correlation between two *** decisionmaking problems of hesitancy fuzzy preference relations(HFPRs)are *** research proposes a new technique for assessing the relative weights of experts based on the uncertainty of HFPRs and the correlation coefficient degree of each *** paper determines the ranking order of all alternatives and the best one by using the CCMs between each option and the ideal *** the meantime,the appropriate example is given to demonstrate the viability of the new strategies.

关键词： Hesitancy fuzzy graph correlation coefficient measures energy hesitancy fuzzy preference relationships decision making

Anagen Effluvium due to Azathioprine in a Patient With Normal Thiopurine S-Methyltransferase Levels:A Case Report Using Videodermoscopic Analysis

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International Journal of Dermatology and Venereology 2023年第4期6卷 239-240页

作者： Swapnil Shah Balachandra S.Ankad Tanuja rajagopal Department of Dermatology Ashwini Rural Medical CollegeSolapurMaharashtra 413002India Department of Dermatology S.Nijalingappa Medical CollegeBagalkotKarnataka 587102India.

Introduction:Anagen effluvium (AE) is caused by impaired mitotic activity of matrix cells in the hair *** presents with sudden loss of hair and *** diagnosis is based on the clinical history,trichoscopy,and *** presentation:A 20-year-old woman presented with sudden loss of hair following treatment with oral *** of the TPMT were within normal limits both in genotype and phenotype *** pull test was *** revealed yellow dots and multiple black dots,empty yellow dots,dark lines,upright regrowing hairs,and circle *** was stopped,and minoxidil 5% and oral multivitamin were *** trichoscopic analysis revealed terminal hairs and upright regrowing ***:AE is characterized by abrupt loss of anagen hairs due to impaired metabolic *** in AE shows coudability hairs,black dots,exclamation mark hairs,multiple broken shafts,and regrowing *** yellow dots,yellow dots with black dots,pigtail hairs,and dark lines were additional features in this ***:Trichoscopy assists in the accurate diagnosis of *** effects of azathioprine can be observed even with normal TPMT *** monitoring is therefore of prime importance.

关键词： trichoscopy videodermoscopy anagen effluvium thiopurineS-methyltransferase case report

Optimized Controller Gains Using Grey Wolf Algorithm for Grid Tied Solar Power Generation with Improved Dynamics and Power Quality

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Chinese Journal of Electrical Engineering 2022年第2期8卷 75-85页

作者： Veramalla rajagopal Danthurthi Sharath Gundeboina Vishwas Jampana Bangarraju Sabha Raj Arya Challa Venkatesh Department of Electrical and Electronics Engineering Kakatiya Institute of Technology and Science WarangalTelangana 506015India Department of Electrical and Electronics Engineering B V Raju Institute of TechnologyTelangana 502313India Department of Electrical Engineering Sardar Vallabhbhai National Institute of Technology SuratGujarat 395007India

This study proposes a control algorithm based on synchronous reference frame theory with unit templates instead of a phase locked loop for grid-connected photovoltaic(PV)solar system,comprising solar PV panels,DC-DC converter,controller for maximum power point tracking,resistance capacitance ripple filter,insulated-gate bipolar transistor based controller,interfacing inductor,linear and nonlinear *** dynamic performance of the grid connected solar system depends on the effect operation of the control algorithm,comprising two proportional-integral *** controllers estimate the reference solar-grid currents,which in turn generate pulses for the three-leg voltage source *** grey wolf optimization algorithm is used to optimize the controller gains of the proportional-integral controllers,resulting in excellent performance compared to that of existing optimization *** compensation for neutral current is provided by a star-delta transformer(non-isolated),and the proposed solar PV grid system provides zero voltage regulation and eliminates harmonics,in addition to load *** power extraction from the solar panel is achieved using the incremental conductance algorithm for the DC-DC converter supplying solar power to the DC bus capacitor,which in turn supplies this power to the grid with improved dynamics and *** solar system along with the control algorithm and controller is modeled using Simulink in Matlab 2019.

关键词： Control algorithm solar power generation DC-DC converter star-delta transformer maximum power point tracking power quality grey wolf optimization algorithm

A novel multi-stable sinusoidal chaotic map with spectacular behaviors

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Communications in Theoretical Physics 2023年第11期75卷 3-14页

作者： Ahmed M Ali Ali Sridevi Sriram Hayder Natiq Atefeh Ahmadi Karthikeyan rajagopal Sajad Jafari Department of Electronics Techniques Babylon Technical InstituteAl-Furat Al-Awsat Technical UniversityBabylon51001Iraq Al-Mustaqbal University College Babylon51001Iraq Centre for Computational Biology Chennai Institute of TechnologyChennai600069Tamil NaduIndia Department of Computer Technology Engineering College of Information TechnologyImam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq Department of Biomedical Engineering Amirkabir University of Technology(Tehran Polytechnic)TehranIran Centre for Nonlinear Systems Chennai Institute of TechnologyChennai600069Tamil NaduIndia Department of Electronics and Communications Engineering and University Centre of Research and Development Chandigarh UniversityMohali140413PunjabIndia Health Technology Research Institute Amirkabir University of Technology(Tehran Polytechnic)TehranIran

Chaotic behavior can be observed in continuous and discrete-time *** behavior can appear in one-dimensional nonlinear maps;however,having at least three state variables in flows is *** to the lower mathematical complexity and computational cost of maps,lots of research has been conducted based on *** paper aims to present a novel one-dimensional trigonometric chaotic map that is multi-stable and can act *** proposed chaotic map is first analyzed using a single sinusoidal function;then,its abilities are expanded to a map with a combination of two sinusoidal *** stability conditions of both maps are investigated,and their different behaviors are validated through time series,state space,and cobweb ***,the influence of parameter variations on the maps’outputs is examined by one-dimensional and two-dimensional bifurcation diagrams and Lyapunov exponent ***,the diversity of outputs with varying initial conditions reveals this map’s *** newly designed chaotic map can be employed in encryption applications.

关键词： chaotic map discrete chaos sinusoidal map multi-stability dynamical analysis

A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet

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Computer Systems Science & Engineering 2023年第6期45卷 3215-3229页

作者： Aghila rajagopal Sultan Ahmad Sudan Jha Ramachandran Alagarsamy Abdullah Alharbi Bader Alouffi Department of Computer Science and Business Systems Sethu Institute of TechnologyKariapattiVirudhunagar626115TamilnaduIndia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Computer Science and Engineering School of EngineeringKathmandu UniversityBanepaKathmanduNepal Department of CSE University College of EngineeringPanrutiTamilnaduIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Nowadays,the COVID-19 virus disease is spreading *** are some testing tools and kits available for diagnosing the virus,but it is in a lim-ited *** diagnose the presence of disease from radiological images,auto-mated COVID-19 diagnosis techniques are *** enhancement of AI(Artificial Intelligence)has been focused in previous research,which uses X-ray images for detecting *** most common symptoms of COVID-19 are fever,dry cough and sore *** symptoms may lead to an increase in the rigorous type of pneumonia with a severe *** medical imaging is not suggested recently in Canada for critical COVID-19 diagnosis,computer-aided systems are implemented for the early identification of COVID-19,which aids in noticing the disease progression and thus decreases the death ***,a deep learning-based automated method for the extraction of features and classi-fication is enhanced for the detection of COVID-19 from the images of computer tomography(CT).The suggested method functions on the basis of three main pro-cesses:data preprocessing,the extraction of features and *** approach integrates the union of deep features with the help of Inception 14 and VGG-16 *** last,a classifier of Multi-scale Improved ResNet(MSI-ResNet)is developed to detect and classify the CT images into unique labels of *** the support of available open-source COVID-CT datasets that consists of 760 CT pictures,the investigational validation of the suggested method is *** experimental results reveal that the proposed approach offers greater performance with high specificity,accuracy and sensitivity.

关键词： Covid-19 CT images multi-scale improved ResNet AI inception 14 and VGG-16 models

Molecular characterization and diversity analysis of bacterial communities associated with Dialeurolonga malleswaramensis （Hemiptera： Aleyrodidae） adults using 16S rDNA amplicon pyrosequencing and FISH

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Insect Science 2016年第5期23卷 704-711页

作者： Neeti Pandey Raman rajagopal Gut Biology Lab Room No 117 Department of Zoology University of Delhi Delhi 110007 India

Dialeurolonga malleswaramensis Sundararaj （Hemiptera： Aleyrodidae） is a phytophagous sap sucking insect. It infests Polyalthia longifolia, an important avenue tree of India, effective in alleviating noise pollution and having immense medicinal importance. Samples of this insect were collected from Polyalthia longifolia. The cytochrome c oxidase subunit I gene （mtCOl） helped in the molecular characterization of the insect. This study reports the bacterial diversity in D. malleswararnensis adults by high throughput 16S rDNA amplicon pyrosequencing. The major genera identified were Portiera and Arsenophonus. Other bacterial genera detected were uncultured alpha proteobacterium, Sphingopyxis and Methylobacterium. We also employed fluorescence in situ hybridization （FISH） in whole mount samples to confirm the presence of dominant endosymbionts Portiera and Arsenophonus to the bacteriocyte of D. malleswaramensis. This study concludes that combining techniques like 16S rDNA amplicon pyrosequencing and FISH reveal both dominant and rare bacteria. The data also predict the evolutionary position of this pest with respect to other whitefly species using a mitochondrial marker.

关键词： 16S rDNA amplicon pyrosequencing bacterial diversity Dialeurolongamalleswaramensis FISH mtC01