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Hybrid Prairie Dog and Beluga Whale Optimization Algorithm for Multi-Objective Load Balanced-Task Scheduling in Cloud Computing Environments

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China Communications 2024年第7期21卷 307-324页

作者： K ramya Senthilselvi Ayothi Department of Computer Science and Engineering SRM Institute of Science and TechnologyRamapuramChennaiTamil Nadu 600089India

The cloud computing technology is utilized for achieving resource utilization of remotebased virtual computer to facilitate the consumers with rapid and accurate massive data *** utilizes on-demand resource provisioning,but the necessitated constraints of rapid turnaround time,minimal execution cost,high rate of resource utilization and limited makespan transforms the Load Balancing(LB)process-based Task Scheduling(TS)problem into an NP-hard optimization *** this paper,Hybrid Prairie Dog and Beluga Whale Optimization Algorithm(HPDBWOA)is propounded for precise mapping of tasks to virtual machines with the due objective of addressing the dynamic nature of cloud *** capability of HPDBWOA helps in decreasing the SLA violations and Makespan with optimal resource *** is modelled as a scheduling strategy which utilizes the merits of PDOA and BWOA for attaining reactive decisions making with respect to the process of assigning the tasks to virtual resources by considering their priorities into *** addresses the problem of pre-convergence with wellbalanced exploration and exploitation to attain necessitated Quality of Service(QoS)for minimizing the waiting time incurred during TS *** further balanced exploration and exploitation rates for reducing the makespan during the task allocation with complete awareness of VM *** results of the proposed HPDBWOA confirmed minimized energy utilization of 32.18% and reduced cost of 28.94% better than approaches used for *** statistical investigation of the proposed HPDBWOA conducted using ANOVA confirmed its efficacy over the benchmarked systems in terms of throughput,system,and response time.

关键词： Beluga Whale Optimization Algorithm(BWOA) cloud computing Improved Hopcroft-Karp algorithm Infrastructure as a Service(IaaS) Prairie Dog Optimization Algorithm(PDOA) Virtual Machine(VM)

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Spectrum of cardiac manifestations and its relationship to outcomes in patients admitted with scrub typhus infection

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World Journal of Critical Care Medicine 2018年第1期7卷 16-23页

作者： Gunasekaran Karthik Thomas Isaiah Sudarsan John Victor Peter Thambu Sudarsanam George M Varghese Paul Kundavaram Sowmya Sathyendra ramya iyyadurai Kishore Pichamuthu Department of Medicine Christian Medical College Medical Intensive Care Unit Christian Medical College Department of Infectious Diseases Christian Medical College

AIM To study the spectrum of cardiac manifestations in scrub typhus infection and assess its relationship to *** Demographic data, electrocardiographic(ECG) changes, left ventricular (LV) systolic and diastolic function, myocardial injury (defined as troponin T > 14 pg/mL), and pericardial effusion were documented. Myocarditis was diagnosed when myocardial injury was associated with global LV systolic dysfunction. The relationship between myocarditis and outcomes was assessed using logistic regression analysis and expressed as odds ratio(OR) with 95%*** The cohort(n = 81; 35 males) aged 49.4 ± 16.1 years(mean, SD) presented 8.1 ± 3.1 d after symptom onset. The APACHE-Ⅱ score was 15.7 ± 7.0. Fortyeight (59%) patients were ventilated, and 46 (56%) required vasoactive agents. Mortality was 9.9%. ECG changes were non-specific; sinus tachycardia was the most common finding. Myocardial injury was evident in 61.7% of patients and LV systolic dysfunction in 30.9%. A diagnosis of myocarditis was made in 12.3%. In addition, seven patients with regional wall motion abnormalities had LV systolic dysfunction and elevated cardiac enzymes. Mild diastolic dysfunction was observed in 18 (22%) patients. Mild to moderate pericardial effusion was seen in 51%. On multivariate logistic regression analysis, patients with myocarditis tended to be older (OR = 1.04, 95%CI: 0.99-1.09), had shorter symptom duration (OR = 0.69, 95%CI: 0.49-0.98), and tended to stay longer in hospital(OR = 1.17, 95%CI: 0.98-1.40). Myocarditis was not associated with increased *** In scrub typhus infection, cardiac manifestations are frequent and associated with increased morbidity but not mortality.

关键词： Scrub typhus Myocarditis Outcome

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Preparedness,knowledge,and perception of nursing students about climate change and its impact on human health in India

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Regional Sustainability 2024年第1期5卷 107-118页

作者： ramya Kundayi RAVI Priya BABY Nidhin ELIAS Jisa George THOMAS Kathyayani Bidadi VEERABHADRAIAH Bharat PAREEK College of Nursing Medical and Health Sciences UniversityRas Al Khaimah11172United Arab Emirates College of Nursing National Institute of Mental Health and Neuro sciencesBangalore560011India College of Nursing Amrita Institute of Medical SciencesKochi682041India College of Nursing All India Institute of Medical SciencesBhopal462020India Saraswati Professional and Higher Education College of Nursing Mohali140413India

Higher education plays an important role in all aspects of *** climate change and sustainability into the curriculum is important to prepare future health-care professionals for climate change and sustainability actions to build resilient health *** this study,we evaluated the preparedness,knowledge,and perception regarding climate change and its impact on human health among Indian nursing students.A quantitative descriptive survey was conducted among 644 undergraduate nursing students studying in three institutes in the southern,northern,and western parts of *** used a structured online questionnaire with established validity and reliability to collect *** data were analyzed using Statistical Package for the Social Sciences version 26 *** results showed that more than half of the students reported experiencing excessive increase(362;56.2%)and decrease(374;58.1%)in temperature in recent *** more than three quarters of the students(494;76.7%)accepted the general truth that climate change is mainly caused by human activities,only less than half of the students(309;48.0%)perceived the impact of climate change to be *** quarters of the students(483;75.0%)had a high level of knowledge regarding climate *** students who had a high level of knowledge about climate change exerted a high perceived impact of climate change(χ^(2)=75.47;P<0.01).More than half of the students(50.9%)felt that they needed information about climate change to be included in the nursing curriculum,and only one sixth of the students(16.1%)were highly confident about engaging in climate change-related conversation with *** of the students who participated in the study had basic knowledge about climate change and its impact on human ***,there is an observed gap between knowledge and their preparedness and confidence to engage in climate change ***,we propose to strengthen the nursing curriculum by integra

关键词： Climate change Curriculum Nursing students Human health India

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Defected Ground Structure Multiple Input-Output Antenna For Wireless Applications

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Computer Systems Science & Engineering 2023年第8期46卷 2109-2122页

作者： ramya Sridhar Vijayalakshimi Patteeswaran Department of Electronics and Communication Engineering RF Microwave&Wireless Communication LaboratoryHindusthan Institute of TechnologyCoimbatore641028Tamil NaduIndia Department of Electronics and Communication Engineering Hindusthan College of Engineering&TechnologyCoimbatore641050Tamil NaduIndia

In this paper,the investigation of a novel compact 2×2,2×1,and 1×1 Ultra-Wide Band(UWB)based Multiple-Input Multiple-Output(MIMO)antenna with Defected Ground Structure(DGS)is *** proposed Electromagnetic Radiation Structures(ERS)is composed of multiple radiating *** MIMO antennas are designed and analyzed with and without *** feeding is introduced by a microstrip-fed line to significantly moderate the radiating structure’s overall size,which is 60×40×1 *** high directivity and divergence characteristics are attained by introducing the microstripfed lines perpendicular to each *** the projected MIMO antenna structures are compared with others by using parameters like Return Loss(RL),Voltage Standing Wave Ratio(VSWR),Radiation Pattern(RP),radiation efficiency,and *** same MIMO set-up is redesigned with DGS,and the resultant parameters are ***,the Multiple Input and Multiple Output Radiating Structures with and without DGS are compared for result considerations like RL,VSWR,RP,radiation efficiency,and *** projected antenna displays an omnidirectional RP with moderate gain,which is highly recommended for human healthcare *** introducing the defected ground structure in bottom layer the lower cut-off frequencies of 2.3,4.5 and 6.0 GHz are achieved with few biological effects on radio propagation in human body *** proposed design covers numerous well-known wireless standards,along with dual-function DGS slots,and it can be easily integrated into Wireless Body Area Networks(WBAN)in medical *** WBAN links the autonomous nodes that may be situated either in the clothes,on-body or beneath the skin of a *** system typically advances the complete human body and the inter-connected nodes through a wireless communication channel.

关键词： MIMO-multiple input multiple output defected ground structure WBAN-wireless body area networks ultra-wideband voltage standing wave ratio

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Word Sense Disambiguation Based Sentiment Classification Using Linear Kernel Learning Scheme

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Intelligent Automation & Soft Computing 2023年第5期36卷 2379-2391页

作者： P.ramya B.Karthik Anna University Chennai600025Tamil NaduIndia Sona College of Technology Salem636005TamilnaduIndia

Word Sense Disambiguation has been a trending topic of research in Natural Language Processing and Machine *** core features and performing the text classiﬁcation still exist as a challenging *** the features of the context such as neighboring words like adjective provide the evidence for classiﬁcation using machine learning *** paper presented the text document classiﬁcation that has wide applications in information retrieval,which uses movie review *** the document indexing based on controlled vocabulary,adjective,word sense disambiguation,generating hierarchical cate-gorization of web pages,spam detection,topic labeling,web search,document summarization,*** the kernel support vector machine learning algorithm helps to classify the text and feature extract is performed by cuckoo search *** review and negative review of movie dataset is presented to get the better classiﬁcation *** results focused with context mining,feature analysis and classiﬁ*** comparing with the previous work,proposed work designed to achieve the efﬁcient *** design is per-formed with MATLAB 2020a tool.

关键词： Text classiﬁcation word sense disambiguation kernel support vector machine learning algorithm cuckoo search optimization feature extraction

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Self-assembled multifunctional nanotheranostics against circulating tumor clusters in metastatic breast cancer

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Acta Pharmaceutica Sinica B 2023年第4期13卷 1711-1725页

作者： ramya Dhandapani Swaminathan Sethuraman Uma Maheswari Krishnan Anuradha Subramanian Centre for Nanotechnology&Advanced Biomaterials School of Chemical&BiotechnologySASTRA Deemed UniversityThanjavur 613401India

Circulating tumor clusters(CTC)disseminating from the primary tumor are responsible for secondary tumor formation where the conventional treatments such as chemotherapy and radiotherapy does not prevent the metastasis at locally advanced stage of breast *** this study,a smart nanotheranostic system has been developed to track and eliminate the CTCs before it can colonize at a new site,which would reduce metastatic progression and increase the five-year survival rate of the breast cancer *** multiresponsive(magnetic hyperthermia and pH)nanomicelles incorporated with NIR fluorescent superparamagnetic iron oxide nanoparticles were developed based on self-assembly for dual modal imaging and dual toxicity for spontaneous killing of CTCs in blood stream.A heterogenous tumor clusters model was developed to mimic the CTCs isolated from breast cancer *** nanotheranostic system was further evaluated for the targeting property,drug release kinetics,hyperthermia and cytotoxicity against developed CTC model in *** vivo model in BALB/c mice equivalent to stageⅢandⅣhuman metastatic breast cancer was developed to evaluate the biodistribution and therapeutic efficacy of micellar nanotheranostic *** CTCs in blood stream and low distant organ metastasis after treatment with the nanotheranostic system demonstrates its potential to capture and kill the CTCs that minimize the secondary tumor formation at distant sites.

关键词： Self-assembly Hybrid nanotheranostic system Circulating tumor clusters Advanced breast cancer Cancer stem cells Heterogenous clusters SPIONs NIR Metastasis CD44

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Classification of Foot Pressure Images Using Machine Learning Algorithm

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Computer Systems Science & Engineering 2022年第4期41卷 187-196页

作者： P.ramya B.Padmapriya S.Poornachandra Department of Electronics and Communication Engineering SNS College of EngineeringCoimbatore641107Tamil NaduIndia Department of Biomedical Engineering PSG College of TechnologyCoimbatore641004Tamil NaduIndia Department of Electronics and Communication Engineering Sri Shakthi Institute of Engineering and TechnologyCoimbatore641062Tamil NaduIndia

Arthritis is an acute systemic disease of a joint accompanied by *** developed countries,it mainly causes disability among people over 50 years of *** Arthritis is a type of arthritis that occurs commonly among *** incidence of arthritis is higher in females than in *** is no permanent diagnosis method for arthritis,but if it was identiﬁed in the early stages based on the foot pressure,it can be diagnosed before attaining the critical stage of Rheumatoid *** analysis and study of arthritis patients were done using design thinking *** thinking is a problem-solving methodology that is used toﬁnd a solution for the identiﬁcation of the early stage of *** process consists ofﬁve stages follows Empathy,Deﬁne,Ideate,Prototype,and *** deﬁne the problem statement,the Empathy was done with the arthritis patients to know the difﬁculties faced by *** paper proposes a measurement technique of early measurement of arthritis using a non-invasive *** helps us to detect arthritis using a foot pressure pad that was designed with piezoresistive material and the feature classiﬁcation was done using Weka.

关键词： Piezoresistive material velostat carbon loaded piezo resistiveﬁlm machine learning algorithm SVM MLP classiﬁcation design thinking

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Modified Mackenzie Equation and CVOA Algorithm Reduces Delay in UASN

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Computer Systems Science & Engineering 2022年第5期41卷 829-847页

作者： R.Amirthavalli S.Thanga ramya N.R.Shanker Department of Computer Science and Engineering Velammal Engineering CollegeChennai66India Department of Information Technology R.M.D Engineering CollegeTiruvallur1206India Department of Computer Science and Engineering Aalim Muhammed Salegh College of EngineeringChennai55India

In Underwater Acoustic Sensor Network(UASN),routing and propagation delay is affected in each node by various water column environmental factors such as temperature,salinity,depth,gases,divergent and rotational *** sound velocity increases the transmission rate of the packets and the high dissolved gases in the water increases the sound *** dissolved gases and sound velocity environment in the water column provides high transmission rates among UASN *** this paper,the Modified Mackenzie Sound equation calculates the sound velocity in each node for energy-efficient *** Ratio Optimization Method(GROM)and Gaussian Process Regression(GPR)predicts propagation delay of each node in UASN using temperature,salinity,depth,dissolved gases *** gases,rotational and divergent winds,and stress plays a major problem in UASN,which increases propagation delay and energy *** values from GPR and GROM leads to node selection and Corona Virus Optimization Algorithm(CVOA)routing is performed on the selected *** proposed GPR-CVOA and GROM-CVOA algorithm solves the problem of propagation delay and consumes less energy in nodes,based on appropriate tolerant delays in transmitting packets among nodes during high rotational and divergent *** simulation results,CVOA Algorithm performs better than traditional DF and LION algorithms.

关键词： Gaussian process regression(GPR) golden ratio optimization method(GROM) corona virus optimization algorithm(CVOA) water column variation dissolved gases acoustic speed divergent wind rotational wind

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Review:Heart Diseases Detection by Machine Learning Classification Algorithms

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Journal of Harbin Institute of Technology(New Series) 2022年第4期29卷 81-92页

作者： Pothala ramya Ashapu Bhavani Sangeeta Viswanadham Department of Computer Science and Engineering Grandhi Mallikarjuna Rao Institute of TechnologyRajam 532127Andhra PradeshIndia Department of Computer Science and Engineering Anil Neerukonda Institute of Technology and SciencesVishakhapatnam 531162Andhra PradeshIndia

Most human deaths are caused by heart *** diseases cannot be efficiently detected for the lack of specialized knowledge and *** science is important in healthcare sector for the role it plays in bulk data *** learning(ML)also plays a significant part in disease prediction and decision⁃making in medical care *** study reviews and evaluates the ML approaches applied in heart disease *** primary goal is to find mathematically effective ML algorithm to predict heart diseases more *** ML approaches including Logistic Regression,Support Vector Machine(SVM),k⁃Nearest Neighbor(k⁃NN),t⁃Distributed Stochastic Neighbor Embedding(t⁃SNE),Naïve Bayes,and Random Forest were utilized to process heart disease dataset and extract the unknown patterns of heart disease *** analysis was conducted on their performance to examine the effecacy and *** results show that Random Forest out⁃performed other ML algorithms with an accuracy of 97%.

关键词： Logistic Regression SVM k⁃NN t⁃SNE Naïve Bayes Random Forest

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Intelligent Vehicular Communication Using Vulnerability Scoring Based Routing Protocol

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Intelligent Automation & Soft Computing 2023年第1期35卷 31-45页

作者： M.ramya Devi I.Jasmine Selvakumari Jeya Department of Computer Science and Engineering Hindusthan College of Engineering and TechnologyCoimbatore641050India

Internet of Vehicles(IoV)is an intelligent vehicular technology that allows vehicles to communicate with each other via *** and the Internet of Things(IoT)enable cutting-edge technologies including such self-driving *** the existing systems,there is a maximum communication delay while transmitting the *** proposed system uses hybrid Cooperative,Vehicular Communication Management Framework called CAMINO(CA).Further it uses,energy efficient fast message routing protocol with Common Vulnerability Scoring System(CVSS)methodology for improving the communication delay,*** improves security while transmitting the messages through *** this research,we present a unique intelligent vehicular infrastructure communication management *** framework includes additional stability for both short and long-range mobile *** also includes built-in cooperative intelligent transport system(C-ITS)capabilities for experimental verification in real-world *** addition,an energy efficient-fast message distribution routing protocol(EE-FMDRP)has been *** combines the benefits between both temporal and direction oriented routing *** has been suggested for distributing information from the origin ends to the predetermined objective in a quick,accurate,and effective manner in the event of an *** critical value scale score(CVSS)employ ratings to measure the assault probability in Markov *** of chained transitions allow us to statistically evaluate the integrity of a group of *** the proposed method helps to enhance the vehicular *** CAMINO with energy efficient fast protocol using CVSS(CA-EEFP-CVSS)method outperforms in terms of shortest transmission latency achieves 2.6 sec,highest throughput 11.6%,and lowest energy usage 17%and PDR 95.78%.

关键词： Intelligent automation intelligent transport system vehicular networks markov chains internet of vehicles critical value scale score

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