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Chinese Journal of Traumatology 2020年第2期23卷 78-83页

作者： geetha sridharan Elavenil Panneerselvam Keerthana Ponvel Swetha Tarun V.B.Krishna Kumar Raja Department of Oral and Maxillofacial Surgery SRM Dental College and HospitalRamapuram CampusRamapuramChennai 600089Tamil NaduIndia

Trauma during pregnancy deserves special attention because of its management objectives,***-being of both pregnant woman and *** trauma directly affects the nutrition of foetus by interfering with the normal functions in a pregnant woman such as mouth *** and breathing,Hence early restitution of form and function of maxillofacial skeleton is ***,the gravid status is associated with numerous anatomical and physiological changes which present with clinical dilemma related to imaging and treatment.A careful scrutiny of the patient's systermic and gestational status is absolutely essential before,during and after instituting any interventional *** present a case of bilateral condyle fracture in a 30-year-old pregnant woman in the third trimester(32 weeks).She was treated with inter maxillary fixation using orthodontic brackets&*** successful restitution of occlusion,the patient was advised aggressive physiotherapy which ensured normal mouth *** weeks later,the patient delivered *** patient was followed up at one month and 3 month and demonstrated restitution of normal occlusion,mouth opening and lower|acial *** article aims at analyzing the contermporary principles in management of maxillfacial trauma in a pregnant woman and clarifying the common misconceptions.

关键词： Trauma Pregnancy Foetus Condyle fracture

Role of fecal microbiota transplant in management of hepatic encephalopathy: Current trends and future directions

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World Journal of Hepatology 2024年第1期16卷 17-32页

作者： Yash R Shah Hassam Ali Angad Tiwari David Guevara-Lazo Natalia Nombera-Aznaran Bhanu Siva Mohan Pinnam Manesh Kumar Gangwani Harishankar Gopakumar Amir H Sohail SriLakshmiDevi Kanumilli Ernesto Calderon-Martinez geetha Krishnamoorthy Nimish Thakral Dushyant Singh Dahiya Department of Internal Medicine Trinity Health Oakland/Wayne State UniversityPontiacMI 48341United States Division of Gastroenterology and Hepatology East Carolina University/Brody School of MedicineGreenvilleNC 27858United States Department of Internal Medicine Maharani Laxmi Bai Medical CollegeJhansi 284001India Faculty of Medicine Universidad Peruana Cayetano HerediaLima 15102Peru Department of Internal Medicine John H.Stroger Hospital of Cook CountyChicagoIL 60612United States Department of Internal Medicine The University of ToledoToledoOH 43606United States Department of Gastroenterology and Hepatology University of Illinois College of Medicine at PeoriaPeoriaIL 61605United States Department of Surgery University of New MexicoAlbuquerqueNM 87106United States Department of Internal Medicine GSL Medical CollegeRajamahendravaram 533296India Department of Internal Medicine Universidad Nacional Autonoma de MexicoCiudad De Mexico 04510Mexico Department of Digestive Diseases and Nutrition University of KentuckyLexingtonKY 40536United States Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States

Fecal microbiota transplantation(FMT)offers a potential treatment avenue for hepatic encephalopathy(HE)by leveraging beneficial bacterial displacement to restore a balanced gut *** prevalence of HE varies with liver disease severity and *** pathogenesis involves ammonia toxicity,gut-brain communication disruption,and *** aims to restore gut microbiota balance,addressing these ***'s efficacy has been explored in various conditions,including *** suggest that FMT can modulate gut microbiota,reduce ammonia levels,and alleviate *** has shown promise in alcohol-associated,hepatitis B and C-associated,and non-alcoholic fatty liver *** include improved liver function,cognitive function,and the slowing of disease ***,larger,controlled studies are needed to validate its effectiveness in these *** have shown cognitive improvements through FMT,with potential benefits in cirrhotic ***,trials have demonstrated reduced serious adverse events and cognitive enhancements in FMT arms compared to the standard of *** evidence is promising,challenges remain:Limited patient numbers,varied dosages,administration routes,and donor *** large-scale,controlled trials are essential to establish standardized guidelines and ensure FMT's clinical applications and *** FMT holds potential for HE management,ongoing research is needed to address these challenges,optimize protocols,and expand its availability as a therapeutic option for diverse hepatic conditions.

关键词： Hepatic encephalopathy Fecal microbiota transplant Cognitive impairment Liver cirrhosis Chronic liver disease

Performance Analysis of a Heterogeneous Network Employing DAPSK Based OFDMA-PON

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China Communications 2023年第3期20卷 128-145页

作者： Priyadharshini Rajasekaran geetha Ganesan Department of Electronics and Communication Engineering Sri Venkateswara College of EngineeringSriperumbudur 602117Tamil NaduIndia Department of Electronics and Communication Engineering College of Engineering GuindyAnna UniversityChennai 600025Tamil NaduIndia

Recent mobile broadband networks require heterogeneous networks supporting high capacity on demand.A hybrid Fiber-Wireless(Fi-Wi)access network integrating Differential Amplitude and Phase Shift Keying(DAPSK)based-Orthogonal Frequency Division Multiple Access(OFDMA)Passive Optical Network(PON)and 4G wireless network using Radio over Fiber(Ro F)technique is *** proposed heterogeneous network is simulated,and the performance is analyzed in terms of Bit Error Rate(BER),Error Vector Magnitude(EVM),Capacity,and Spectral *** proposed network is simulated considering a higher data rate of 10 and 25 Gbps,and the effect of system parameters like Laser Power,Fiber Length,and Number of users is *** results show that a higher network capacity of 720 Gbps with an average capacity of about 45 Gbps and a higher spectral efficiency of 4.85 bps/Hz is achieved for the multi-user heterogeneous network link with sixteen *** minimum value of optical power sufficient to achieve the desired BER is found to be-6 *** suitability of the proposed integrated architecture in supporting multiple services is analyzed by considering different services at each *** spectral efficiency of the multi-service link varies from 3 to 4 bps/Hz.

关键词： DAPSK OFDMA PON RoF Spectral ef-ficiency

Multi-Objective Modified Particle Swarm Optimization for Test Suite Reduction(MOMPSO)

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Computer Systems Science & Engineering 2022年第9期42卷 899-917页

作者： U.geetha Sharmila Sankar Department of Information Technology B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennai600048India Department of Computer Science and Engineering B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennai600048India

Software testing plays a pivotal role in entire software development *** provides researchers with extensive opportunities to develop novel methods for the optimized and cost-effective test suite Although implementation of such a cost-effective test suite with regression testing is being under exploration still it contains lot of challenges and flaws while incorporating with any of the new regression testing algorithm due to irrelevant test cases in the test suite which are not *** kinds of irrelevant test cases might create certain challenges such as code-coverage in the test suite,fault-tolerance,defects due to uncovered-statements and overall-performance at the time of *** this objective,the proposed a new Modified Particle Swarm optimization used for multi-objective test suite *** experiment results involving six subject programs show that MOMPSO method can outer perform with respect to both reduction rate(90.78%to 100%)and failure detection rate(44.56%to 55.01%).Results proved MOMPSO outperformed the other stated algorithms.

关键词： Regression testing test suite reduction test case generation

Classification of Glaucoma in Retinal Images Using EfficientnetB4 Deep Learning Model

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Computer Systems Science & Engineering 2022年第12期43卷 1041-1055页

作者： A.geetha N.B.Prakash National Engineering College Kovilpatti628502India

Today, many eye diseases jeopardize our everyday lives, such as Diabetic Retinopathy (DR), Age-related Macular Degeneration (AMD), and *** is an incurable and unavoidable eye disease that damages the vision ofoptic nerves and quality of life. Classification of Glaucoma has been an active fieldof research for the past ten years. Several approaches for Glaucoma classification areestablished, beginning with conventional segmentation methods and feature-extraction to deep-learning techniques such as Convolution Neural Networks (CNN). Incontrast, CNN classifies the input images directly using tuned parameters of convolution and pooling layers by extracting features. But, the volume of training datasetsdetermines the performance of the CNN;the model trained with small datasets,overfit issues arise. CNN has therefore developed with transfer learning. The primary aim of this study is to explore the potential of EfficientNet with transfer learning for the classification of Glaucoma. The performance of the current workcompares with other models, namely VGG16, InceptionV3, and Xception usingpublic datasets such as RIM-ONEV2 & V3, ORIGA, DRISHTI-GS1, HRF, andACRIMA. The dataset has split into training, validation, and testing with the ratioof 70:15:15. The assessment of the test dataset shows that the pre-trained EfficientNetB4 has achieved the highest performance value compared to other models listedabove. The proposed method achieved 99.38% accuracy and also better results forother metrics, such as sensitivity, specificity, precision, F1_score, Kappa score, andArea Under Curve (AUC) compared to other models.

关键词： Convolution neural network deep learning fundus image glaucoma image classification

A framework for the sustainability implications of 3D bioprinting through nature-inspired materials and structures

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Bio-Design and Manufacturing 2022年第2期5卷 412-423页

作者： Ruban Whenish Seeram Ramakrishna Amit Kumar Jaiswal geetha Manivasagam Center for Biomaterials Cellular and Molecular TheranosticsVellore Institute of TechnologyVelloreTamilnadu 632014India Department of Mechanical Engineering National University of Singapore9 Engineering Drive 1119260Singapore

Introduction The climax of the industrial revolution was marked by the rapid growth of industry,and advancement in technologies have further fueled this industrial expansion,leading to a surge in economic *** technolo... 详细信息

关键词： printing advancement revolution

Dust Deposition’s Effect on Solar Photovoltaic Module Performance:An Experimental Study in India’s Tropical Region

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Journal of Renewable Materials 2022年第8期10卷 2133-2153页

作者： K.R.Chairma Lakshmi geetha Ramadas Department of Electrical and Electronics Engineering R.M.K.Engineering CollegeChennaiIndia

A solar PV panel works with maximum efficiency only when it is operated around its optimum operating point or maximum power ***,the performance of the solar cell is affected by several factors like sun direction,solar irradiance,dust accumulation,module temperature,as well as the load on the *** deposition is one of the most prominent factors that influence the performance of solar *** the solar panel is exposed to the atmosphere,dust will accumulate on its surface,reducing the quantity of sunlight reaching the solar cell and diminishing *** the proposed work,a detailed investigation of the performance of solar PV modules is carried out under the tropical climatic condition of Chennai,India,where the presence of dust particles is very *** data corresponding to four different dust samples of various densities at four solar irradiation levels of 220,525,702,and 905 W/m^(2)are collected,and performance analysis is carried *** on the analysis carried out,the maximum power loss is found to be 73.51%,66.29%,65.46%,and 61.42%,for coal,sand,brick powder,and chalk dust ***,it can be said that coal dust contributes to the maximum power loss among all four dust *** to heat dissipation produced by dust deposition,the performance of solar PV modules is degraded as the temperature rose.

关键词： Solar photovoltaic power generation system dust effect electrical efficiency loss dust samples surface contamination

An Intelligent Hybrid Ensemble Gene Selection Model for Autism Using DNN

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Intelligent Automation & Soft Computing 2023年第3期35卷 3049-3064页

作者： G.Anurekha P.geetha Department of Information Science and Technology College of EngineeringAnna UniversityChennai600025India

Autism Spectrum Disorder(ASD)is a complicated neurodevelopmen-tal disorder that is often identiﬁed in *** microarray data is used as a diagnostic tool to identify the genetics of the ***,microarray data is large and has a high ***,it suffers from the problem of *** microarray data,the sample size and variance of the gene expression will lead to overﬁtting and misclassiﬁ*** the autism gene(feature)subset from microarray data is an important and challenging research *** has to be efﬁciently addressed to improve gene feature selection and classiﬁ*** overcome the challenges,a novel Intelligent Hybrid Ensem-ble Gene Selection(IHEGS)model is proposed in this *** proposed model integrates the intelligence of different feature selection techniques over the data *** this model,the initial gene selection is carried out by data perturba-tion,and theﬁnal autism gene subset is obtained by functional perturbation,which reduces the problem of dimensionality in microarray *** functional perturbation module employs three meta-heuristic swarm intelligence-based tech-niques for gene *** obtained gene subset is validated by the Deep Neural Network(DNN)*** proposed model is implemented using python with six National Center for Biotechnology Information(NCBI)gene expression *** the comparative study with other existing state-of-the-art systems,the proposed model provides stable results in terms of feature selection and clas-siﬁcation accuracy.

关键词： Autism spectrum disorder feature selection ensemble gene selection microarray gene expression deep neural network meta-heuristic

Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization

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Intelligent Automation & Soft Computing 2023年第3期35卷 2619-2637页

作者： A.Naresh Kumar G.geetha Department of CSE Anna UniversityChennai600025TamilnaduIndia Department of CSE Agni College of TechnologyChennai600130TamilnaduIndia

Recognizing signs and fonts of prehistoric language is a fairly difﬁcult job that requires special *** stipulation make the dispensation period over-riding,difﬁcult and tiresome to *** paper present a technique for recognizing ancient south Indian languages by applying Artiﬁcial Neural Network(ANN)associated with Opposition based Grey Wolf Optimization Algorithm(OGWA).It identiﬁes the prehistoric language,signs and *** is an apparent from the ANN system that arbitrarily produced weights or neurons linking various layers play a signiﬁcant role in its *** adaptively determining these weights,this paper applies various optimization algorithms such as Opposition based Grey Wolf Optimization,Particle Swarm Optimization and Grey Wolf Opti-mization to the ANN *** results are illustrated that the proposed ANN-OGWO technique achieves superior accuracy over the other *** test case 1,the accuracy value of OGWO is 94.89%and in test case 2,the accu-racy value of OGWO is 92.34%,on average,the accuracy of OGWO achieves 5.8%greater accuracy than ANN-GWO,10.1%greater accuracy than ANN-PSO and 22.1%greater accuracy over conventional ANN technique.

关键词： Ancient language symbols characters artiﬁcial neural network opposition based grey wolf optimization

Computerised Gate Firing Control for 17-Level MLI using Staircase PWM

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Computer Systems Science & Engineering 2023年第1期44卷 813-832页

作者： M.geetha R.Vijayabhasker Suresh Seetharaman Department of Electronics and Communications Engineering Kalaignar Karunanidhi Institute of TechnologyCoimbatoreTamilnadu641402India Department of Electrical and Electronics Engineering Anna UniversityRegional Centre CoimbatoreTamilnadu641046India

A basic 7-level MLI topology is developed and the same is extended to the 9-level then further increased to *** developed structure minimizes the component’s count and size to draw out the system *** the various advantages of MLIs,efficiency and reliability play a major role since the usage of components is higher for getting a low Total Harmonics Distortion(THD)*** becomes a major challenge incorporated in boosting the efficiency without affecting the THD *** parametric observations are done and realized for the designed 9-level and 17-level MLI,being the Total Standing Voltage(TSV),efficiency,cost function per level count,and power *** respective parameters are compared with several existing and modern circuits and found to be effective in their performance.A novel single-phase 17-level asymmetrical Multi-Level Inverter(MLI)topology is developed to reduce the number of overall *** developed topology generates 17-levels by using unequal DC *** developed MLI is proved under various tests con-ducted experimentally for the various loads like resistive,inductive,and combinational loads.A detailed comparison is done on several factors and represented graphically ***,the proposed design provides a less TSV value is 6 V_(dc),efficiency is 94.21%and cost factor per level CF/L value for both values ofαis 2.01 and 2.05 and devices count with a low THD value 41.4%with respectively.

关键词： Inverters 9-level and 17-level MLI switches count load current voltages round-robin staircase PWM