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Assessing suitability of Andrographis paniculata genotypes for rain-fed conditions in semi-arid climates

Information Processing in Agriculture 2021年第2期8卷 359-368页

作者： kuldeepsingh A.kalariya Narendra A.Gajbhiye Ram Prasnna Meena Parmeshwar L.Saran Dipal Minipara Sinora Macwan k.a.geetha ICAR-Directorate of Medicinal and Aromatic Plants Research BoriaviAnandGujaratIndia

Medicinal plants are generally suggested for degraded land or areas having low *** paniculata is an important medicinal plant known for its diterpene lactone *** exposed 26 genotypes of *** to rain-fed condition during early-season rain-fed(ESRF)and mid-season rain-fed(MSRF)conditions and compared with the control to assess their suitability in semi-arid climate region of Gujarat,*** study was performed during two consecutive years 2016–2017 in split plot design with rain-fed conditions as main-plot treatment and genotypes as sub-plot treatment in three *** gaseous exchange parameters taken at 85100 days after transplanting exhibited mean photosynthesis rate was 20.5 lmol CO_(2) m^(-2)s^(-1) ranging between 15.9 lmol CO_(2) m^(-2)s^(-1) and 24.0 lmol CO_(2) m^(-2)s^(-1).Exceeding 7%decrease in stomatal conductance was recorded compared to the control plants under imposed rain-fed *** mean value of transpiration rate was 4.8 mmol H2O m^(-2)s^(-1).The mean value of water use efficiency was *** condition decreased leaf water potential from-0.517 to-1.189 *** dry herbage decreased by 29.2%due to MSRF condition as compared the *** andrographolide yield per plant suffered significantly and under ESRF condition it reduced mainly due to reduction in andrographolide *** andrographolide yield per plant in MSRF condition was mainly due to reduction in herbage *** revealed that ESRF and MSRF condition characterized by erratic rainfall pattern and dry spell is not beneficial for quality production in *** on the least decrease in andrographolide,yield two genotypes viz.,AP 6 and AP 12 identified to be suitable for ESRF condition and two genotypes viz.,AP 19 and AP 6 suitable for MSRF ***,four genotypes,AP 35,AP 39,AP 61 and AP 24 were suitable as the promising genotypes having high andrographolide yield.

关键词： Andrographis paniculata Andrographolide content Andrographolide yield Photosynthesis Rainfed condition Transpiration

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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

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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

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Stacking Ensemble Learning-Based Convolutional Gated Recurrent Neural Network for Diabetes Miletus

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Intelligent Automation & Soft Computing 2023年第4期36卷 703-718页

作者： G.geetha k.Mohana Prasad Sathyabama Institute of Science and Technology 603202TamilnaduIndia SRM Institute of Science and Technology 603202TamilnaduIndia

Diabetes mellitus is a metabolic disease in which blood glucose levels rise as a result of pancreatic insulin production *** causes hyperglycemia and chronic multiorgan dysfunction,including blindness,renal failure,and cardi-ovascular disease,if left *** of the essential checks that are needed to be performed frequently in Type 1 Diabetes Mellitus is a blood test,this procedure involves extracting blood quite frequently,which leads to subject discomfort increasing the possibility of infection when the procedure is often ***-ing methods used for diabetes classiﬁcation have less classiﬁcation accuracy and suffer from vanishing gradient problems,to overcome these issues,we proposed stacking ensemble learning-based convolutional gated recurrent neural network(CGRNN)Metamodel *** proposed method initially performs outlier detection to remove outlier data,using the Gaussian distribution method,and the Box-cox method is used to correctly order the *** the outliers’detec-tion,the missing values are replaced by the data’s mean rather than their *** the stacking ensemble base model,multiple machine learning algorithms like Naïve Bayes,Bagging with random forest,and Adaboost Decision tree have been *** Meta model uses two hidden layers Long-Short-Time Memory(LSTM)and Gated Recurrent Unit(GRU)to calculate the weight matrix for diabetes ***,the calculated weight matrix is passed to the soft-max function in the output layer to produce the diabetes prediction *** using LSTM-based CG-RNN,the mean square error(MSE)value is 0.016 and the obtained accuracy is 91.33%.

关键词： Diabetes mellitus convolutional gated recurrent neural network Gaussian distribution box-cox predict diabetes

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Effective inventory management using postponement strategy with fuzzy cost

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Journal of Management Analytics 2022年第2期9卷 232-260页

作者： k.V.geetha M.Prabha Department of Mathematics Sri S.Ramasamy Naidu Memorial CollegeSattur 626203Tamil NaduIndia Department of Mathematics PSNA College of Engineering and TechnologyDindigul 624622Tamil NaduIndia Department of Mathematics Research and Development CentreBharathiar UniversityCoimbatore 641046Tamil NaduIndia

In this article, we consider a two level supply chain to evaluate the impact ofpostponement strategy on the retailer. Here the cost parameters are *** distance method is used to defuzzify and to obtain the estimation of thetotal cost in the fuzzy sense. The common variable production cost, commonfixed cost and the common unit holding cost per unit time are assumed to befuzzy in nature. Inventory models are formulated for postponement system andindependent system such that the total average inventory cost function per unittime is minimized. Algorithms are given to derive the optimal solutions of theproposed model. Theoretical analysis and the computational procedure helps tostudy the impact of deterioration rate on the optimal inventory policies. Acomparative study between the postponement system and independent systemconsidering fuzzy costs is also made.

关键词： postponement strategy perishable items trapezoidal fuzzy number triangular fuzzy number signed distance method inventory

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Twitter Data Analysis Using Hadoop and‘R’and Emotional Analysis Using Optimized SVNN

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Computer Systems Science & Engineering 2023年第1期44卷 485-499页

作者： k.Sailaja kumar H.k.Manoj D.Evangelin geetha Department of CA M S Ramaiah Institute of Technology560054BangaloreIndia

Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over different desti-nation *** this paper,the Hadoop cluster with four nodes integrated with RHadoop,Flume,and Hive is created to analyze the tweets gathered from the Twitter *** stream data is collected relevant to an event/topic like IPL-2015,cricket,Royal Challengers Bangalore,kohli,Modi,from May 24 to 30,2016 using *** is used as a data warehouse to store the streamed *** analytics like maximum number of tweets by users,the average number of followers,and maximum number of friends are obtained using *** network graph is constructed with the user’s unique screen name and men-tions using‘R’.A timeline graph of individual users is generated using‘R’.Also,the proposed solution analyses the emotions of cricket fans by classifying their Twitter messages into appropriate emotional categories using the optimized sup-port vector neural network(OSVNN)classification *** attain better classi-fication accuracy,the performance of SVNN is enhanced using a chimp optimization algorithm(ChOA).Extracting the users’emotions toward an event is beneficial for prediction,but when coupled with visualizations,it becomes more ***-chart and wordcloud are generated to visualize the emotional analysis results.

关键词： Twitter apache Hadoop emotional analysis OSVNN ChoA timeline graph ﬂume hive

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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

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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

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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

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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

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