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Hepatoprotective activity of Musa paradisiaca on experimental animal models

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Asian Pacific Journal of Tropical Biomedicine 2012年第1期2卷 11-15页

作者： Nirmala M Girija K Lakshman K divya T Department of Pharmacognosy PES College of Pharmacy

Objective:To invesligale the hepatoprotective activity of stem of Musa paradisiaca(***)in CCl_4 and paracetamol induced hepatotoxicity models in ***:Hepatoprotective activity of alcoholic and aqueous extracts of stem of *** was demonstrated by using two experimentally induced hepatotoxicity ***:Administration of hepatotoxins(CCl_4 and paracetamol)showed significant biochemical and histological deteriorations in the liver of experimental *** with alcoholic extract(500 mg/kg),more significantly and to a lesser extent the alcoholic extract(250 mg/kg)and aqueous extract(500 mg/kg),reduced the elevated levels of the serum enzymes like serum glutamic-oxaloacetic transaminase(SCOT),serum glutamic pyruvic transaminase(SGPT),alkaline phosphatase(ALP)and bilirubin levels and alcoholic and aqueous extracts reversed the hepatic damage towards the normal,which further evidenced the hepatoprotective activity of stem of ***:The alcoholic extract at doses of 250 and 500 mg/kg,*** aqueous extract at a dose of 500 mg/kg,*** stem of *** have significant effect on the liver of CCl_4 and paracetamol induced hepatotoxicity animal models.

关键词： Musa paradisiaca SGPT SGOT ALP Direct bilirubin Total bilirubin Histopathology

Pattern Recognition of Modulation Signal Classification Using Deep Neural Networks

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Computer Systems Science & Engineering 2022年第11期43卷 545-558页

作者： D.venugopal V.Mohan S.Ramesh S.Janupriya Sangsoon Lim Seifedine Kadry Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyCoimbatore641048India Department of Electronics and Communication Engineering Saranathan College of EngineeringTrichy620012India Department of Computer Science and Engineering Krishnasamy College of Engineering&TechnologyCuddalore607109India Department of Electronics and Communication Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Engineering Sungkyul UniversityAnyangKorea Department of Applied Data Science Noroff University CollegeKristiansandNorway

In recent times,pattern recognition of communication modulation signals has gained significant attention in several application areas such as military,civilian field,*** becomes essential to design a safe and robust feature extraction(FE)approach to efficiently identify the various signal modulation types in a complex *** works have derived new techniques to extract the feature parameters namely instant features,fractal features,and so *** addition,machine learning(ML)and deep learning(DL)approaches can be commonly employed for modulation signal *** this view,this paper designs pattern recognition of communication signal modulation using fractal features with deep neural networks(CSM-FFDNN).The goal of the CSM-FFDNN model is to classify the different types of digitally modulated *** proposed CSM-FFDNN model involves two major processes namely FE and *** proposed model uses Sevcik Fractal Dimension(SFD)technique to extract the fractal features from the digital modulated ***,the extracted features are fed into the DNN model for modulation signal *** improve the classification performance of the DNN model,a barnacles mating optimizer(BMO)is used for the hyperparameter tuning of the DNN model in such a way that the DNN performance can be raised.A wide range of simulations takes place to highlight the enhanced performance of the CSM-FFDNN *** experimental outcomes pointed out the superior recognition rate of the CSM-FFDNN model over the recent state of art methods interms of different evaluation parameters.

关键词： Pattern recognition signal modulation communication signals deep learning feature extraction

Hero: Automated Detection System for Prescription Stimulant Overdose via AI-Based Emotion Inference, Metabolite Detection, and Biometric Measurement

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Open Journal of Applied Sciences 2020年第12期10卷 791-816页

作者： divya Nori Milton High School Milton GA USA

Over the past year, approximately 10,000 Americans have died by psychostimulant overdose, and over 50% of these deaths were caused by prescription stimulant misuse. A comprehensive approach to detect a drug overdose in the environment where it occurs is imperative to reduce the number of prescription stimulant overdose-related deaths. Teenagers are at the highest risk for prescription stimulant overdose, so this study proposes a multi-factor overdose detection system named Hero which is designed to noninvasively operate within the context of a teen’s life. Hero monitors five factors that indicate stimulant abuse: extreme mood swings, presence of amphetamine metabolite in sweat excreted from the fingertip, heart rate, blood pressure, and respiration rate. An algorithm to detect extreme mood swings in a teen’s outgoing SMS messages was developed by collecting over 3.6 million tweets, creating groups of tweets for euphoria and melancholy using guidelines adapted from DSM-5 criteria, and training six Artificial Intelligence models. These models were used to create a dual-model-based extreme mood swing detection algorithm that was accurate 96% of the time. A biochemical strip, which consisted of a diagnostic measure that changes color when in contact with amphetamine metabolite and a control measure that changes color when the appropriate volume of sweat is excreted, was created. A gold nanoparticle-based diagnostic measure and pH-based control measure were evaluated individually and on the overall strip. The diagnostic measure had an accuracy of 90.62% while the control measure had 84.38% accuracy. Lastly, a vital sign measurement algorithm was built by applying photoplethysmography image processing techniques. A regression model with height, age, and gender features was created to convert heart rate to blood pressure, and the final algorithm had an accuracy of 97.86%. All five of these factors work together to create an accurate and easily integrable system to detect o

关键词： Addiction Science Behavioral Science Artificial Intelligence Biochemistry

Decision making tools for optimal material selection:A review

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Journal of Central South University 2020年第3期27卷 629-673页

作者： divya ZINDANI Saikat Ranjan MAITY Sumit BHOWMIK Department of Mechanical Engineering National Institute of Technology SilcharSilcharAssam-788010India

The present work reviews different decision making tools(material comparing and choosing tools)used for selecting the best material considering different *** this review work,the authors have tried to address the following important enquiries:1)the engineering applications addressed by the different material choosing and ranking methods;2)the predominantly used decision making tools addressing the optimal material selection for the engineering applications;3)merits and demerits of decision making tools used;4)the dominantly used criteria or objectives considered while selecting a suitable alternative material;5)overview of DEA on material selection *** authors have surveyed literatures from different regions of the globe and considered literatures since *** present review not only stresses the importance of material selection in the early design stage of the product development but also aids the design and material engineers to apply different decision making tools systematically.

关键词： multi-criteria decision making multi-attribute decision making multi-objective decision making soft computing techniques material selection

Dynamic Fracture Toughness of Armour Grade Quenched and Tempered Steel Joints Fabricated Using Low Hydrogen Ferritic Fillers

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Journal of Iron and Steel Research International 2010年第5期17卷 51-56页

作者： G Magudeeswaran V Balasubramanian S Sathyanarayanan G Madhusudhan Reddy A Moitra S venugopal G Sasikala Department of Mechanical Engineering Pannaikkadu Veerammal Paramasivam College of Engineering andTechnology for Women Department of Manufacturing Engineering Annamalai University Materials Mechanics Section Indira Gandhi Center for Atomic Research Metal JoiningSection Defence Metallurgical Research Laboratory

The armour grade quenched and tempered steel joints fabricated using low hydrogen ferritic steel （LHF） filler exhibited superior joint efficiency owing to preferential ferrite microstructure in the welds and also they offered required resistance to HIC. However, the combat vehicles used in military operations will be required to operate under a wide range of road conditions ranging from first class to cross country. Structural components in combat vehicles are subjected to dynamic loading with high strain rates during operation. Stress loadings within the vehicle hull of these vehicles are expected to fluctuate considerably and structural cracking especially in welds during the service life of these vehicles can lead to catastrophic failures. Under these conditions, fracture behaviour of high strain rate sensitive structural steels can be better understood by dynamic fracture toughness （K1d）. Hence, an attempt was made to study dynamic fracture toughness of the armour grade quenched and tempered steel and their welds fabricated using LHF consumables. The experimental results indicate that the K1d values of the joints fabricated by shielded metal arc welding （SMAW） are higher than those of the joints fabricated using flux cored arc welding （FCAW） process.

关键词： quenched steel tempered steel low hydrogen ferritic steel dynamic fracture toughness

Colorectal carcinogenesis:Insights into the cell death and signal transduction pathways:A review

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World Journal of Gastrointestinal Oncology 2018年第9期10卷 244-259页

作者： Ashok kumar Pandurangan Thomas divya Kalaivani Kumar Vadivel Dineshbabu Bakthavatchalam Velavan Ganapasam Sudhandiran Cell Biology Laboratory Department of Bio-chemistryUniversity of MadrasGuindy Campus School of Life sciences B.S. Abdur Rahman Crescent Institute of Science and Technology

Colorectal carcinogenesis(CRC) imposes a major health burden in developing countries. It is the third major cause of cancer deaths. Despite several treatment strategies, novel drugs are warranted to reduce the severity of this disease. Adenomatous polyps in the colon are the major culprits in CRC and found in 45% of cancers, especially in patients 60 years of age. Inflammatory polyps are currently gaining attention in CRC, and a growing body of evidence denotes the role of inflammation in CRC. Several experimental models are being employed to investigate CRC in animals, which include the APC^(min/+) mouse model, Azoxymethane, Dimethyl hydrazine, and a combination of Dextran sodium sulphate and dimethyl hydrazine. During CRC progression, several signal transduction pathways are activated. Among the major signal transduction pathways are p53, Transforming growth factor beta, Wnt/β-catenin, Delta Notch, Hippo signalling, nuclear factor erythroid 2-related factor 2 and Kelch-like ECH-associated protein 1 pathways. These signalling pathways collaborate with cell death mechanisms, which include apoptosis, necroptosis and autophagy, to determine cell fate. Extensive research has been carried out in our laboratory to investigate these signal transduction and cell death mechanistic pathways in CRC. This review summarizes CRC pathogenesis and the related cell death and signal transduction pathways.

关键词： Colorectal cancer Cell death Apoptosis Autophagy Inflammation Hippo signalling Nuclear factor erythroid 2-related factor 2 Wnt signaling

An intuitive general rank-based correlation coefficient

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Frontiers of Information Technology & Electronic Engineering 2018年第6期19卷 699-711页

作者： divya PANDOVE Shivani GOEL Rinkle RANI Research Lab Computer Science and Engineering Department Thapar University Department of Computer Science Engineering School of Engineering and Applied SciencesBennett University Computer Science and Engineering Department Thapar University

Correlation analysis is an effective mechanism for studying patterns in data and making *** interesting discoveries have been made by formulating correlations in seemingly unrelated data. We propose an algorithm to quantify the theory of correlations and to give an intuitive, more accurate correlation *** propose a predictive metric to calculate correlations between paired values, known as the general rank-based correlation coefficient. It fulfills the five basic criteria of a predictive metric： independence from sample size,value between-1 and 1, measuring the degree of monotonicity, insensitivity to outliers, and intuitive ***, the metric has been validated by performing experiments using a real-time dataset and random number simulations. Mathematical derivations of the proposed equations have also been provided. We have compared it to Spearman＇s rank correlation coefficient. The comparison results show that the proposed metric fares better than the existing metric on all the predictive metric criteria.

关键词： General rank-based correlation coefficient Multivariate analysis Predictive metric Spearman's rankcorrelation coefficient

Synthesis and optical characterization of porous ZnO

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Journal of Advanced Ceramics 2013年第3期2卷 260-265页

作者： K.SOWRI BABU A.RAMACHANDRA REDDY Ch.SUJATHA K.venugopal REDDY A.N.MALLIKA Department of Physics National Institute of Technology WarangalWarangal-506004Andhra PradeshIndia

In this paper,a simple and cheap method to prepare porous ZnO by using zinc nitrate,ethanol and triethanolamine(TEA)is *** as-prepared sample consisted of nano and micro *** sample was calcined at 300℃,400℃and 500℃with different heating *** 500℃,the nano pores disappeared but the sample maintained its micro *** emission scanning electron microscopy(FE-SEM)pictures confirmed that the size and growth of ZnO nanoparticles depended on the heating *** infrared(IR)absorption peak of Zn-O stretching vibration positioned at 457 cm^(-1)was split into two peaks centered at 518 cm^(-1)and 682 cm^(-1)with the change of *** results confirmed that Fourier transform infrared(FT-IR)spectrum was sensitive to variations in particle size,shape and *** photoluminescence(PL)spectrum of porous ZnO contained five emission peaks at 397 nm,437 nm,466 nm,492 nm and 527 *** intensity enhanced monotonously with increase of temperature and the change was rapid between temperatures of 300℃and 500℃.This was due to the elimination of organic species and improvement in the crystallanity of the sample at 500℃.

关键词： semiconductors porous ZnO optical properties

Suberin Biopolymer in Rice Root Exodermis Reinforces Preformed Barrier Against Meloidogyne graminicola Infection

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Rice science 2021年第3期28卷 301-312,I0028-I0030页

作者： divya SINGH Tushar K.DUTTA Tagginahalli N.SHIVAKUMARA Manoranjan DASH Haritha BOLLINEDI Uma RAO Division of Nematology ICAR-Indian Agricultural Research InstituteNew Delhi 110012India Division of Genetics ICARIndian Agricultural Research InstituteNew Delhi 110012India

Exploration of novel genetic resources against root-knot nematode(RKN)is necessary to strengthen the resistance breeding program in cultivated rice,and investigations on the role of genotype-specific root anatomy in conferring a structural barrier against nematode invasion are largely ***,we reported a highly-resistant rice germplasm Phule Radha that conferred remarkably lower RKN parasitic fitness in terms of reduced penetration and delayed development and reproduction when compared with susceptible cultivar *** histological and biochemical analyses,we demonstrated that an enhanced suberin deposition in the exodermal root tip tissue of Phule Radha compared to PB1121 can effectively form a penetrative barrier against RKN infection,and this preformed barrier in the control tissue did not necessarily alter to a greater extent when challenged with RKN *** qRT-PCR analysis,we showed that a number of suberin biosynthesis genes were greatly expressed in the exodermis of Phule Radha compared to *** sum,the present study established the role of rice exodermal barrier system in defense against an important soil-borne pathogen.

关键词： penetration suberin lamellae root-knot nematode rice root exodermis