检索结果-南通市图书馆

Antioxidant activity and phytochemical screening of the methanol extracts of Euphorbia hirta L

Asian Pacific Journal of Tropical Medicine 2011年第5期4卷 386-390页

作者： Abu Arra Basma Zuraini Zakaria lacimanan yoga latha Sreenivasan Sasidharan Biology Division School of Distance EducationUniversiti Sains MalaysiaUSM 11800Pulau PinangMalaysia Institutes for Research in Molecular Medicine(INFORMM) Universiti Sains MalaysiaUSM 11800Pulau PinangMalaysia

Objective:To assess antioxidant activities of different parts of Euphorbia hirta（***）,and to search for new sources of safe and inexpensive ***:Samples of leaves,stems, flowers and roots from *** were tested for total phenolic content,and flavonoids content and in vitro antioxidant activity by diphenyl-1-picrylhydrazyl（DPPH） assay and reducing power was measured using cyanoferrate ***:The leaves extract exhibited a maximum DPPH scavenging activity of（72.96±0.78）%followed by the flowers,roots and stems whose scavenging activities were（52.45±0.66）%,（48.59±0.97）%,and（44.42±0.94）%,*** standard butylated hydroxytoluene（BHT） was（75.13±0.75）%.The IC50,for leaves,flowers,roots,stems and BHT were 0.803,0.972,0.989,1.358 and 0.794 mg/mL,*** reducing power of the leaves extract was comparable with that of ascorbic acid and found to be dose dependent. Leaves extract had the highest total phenolic content[（206.17±1.95） mg GAE/g],followed by flowers,roots and stems extracts which were（117.08±3.10） mg GAE/g,（83.15±1.19） mg GAE/g,and （65.70±1.72） mg GAE/g,*** the other hand,total flavonoids content also from leave had the highest value[（37.970±0.003） mg CEQ/g],followed by flowers,roots and stems extracts which were（35.200±0.002） mg CEQ/g,（24.350±0.006） mg CEQ/g,and（24.120±0.004） mg CEQ/ g,*** bioautography analysis of phenolic and antioxidant substance revealed phenolic *** screening of *** leaf extract revealed the presence of reducing sugars,terpenoids,alkaloids,steroids,tannins,flavanoids and phenolic compounds. Conclusions:These results suggeste that *** have strong antioxidant *** study is necessary for isolation and characterization of the active antioxidant agents,which can be used to treat various oxidative stress-related diseases.

关键词： Antioxidant Euphorbia hirta L DPPH scavenging Reducing power Total phenolics content Total flavonoids content Phytochemical screening

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Language Assessment Feedback Towards Pedagogical Conversational Agent

引用

Sino-US English Teaching 2024年第5期21卷 201-216页

作者： Bhagya Prabhashini C M.latha Jazan University JazanK.S.A. K.L.E.F. Andhra PradeshIndia

Continuous development of technology provides an opportunity to incorporate feedback in online *** mode of online instruction during the pandemic was the most significant survival *** enabled every teacher and student to enter a virtual classroom to make sense of *** is part of language instruction and is a powerful key to improving students’learning *** plays an influential and crucial role in teaching and *** is an invaluable,ultimate learning tool for learners that aids them in not committing the same error again and creates ***,knowing about formative exam feedback is students’right because quality feedback allures *** students’eagerness,providing feedback is considered a good practice to be followed by all the teaching *** of online feedback,the present study attempts to study how pedagogical agents provide online feedback in language *** study also considers the characteristics of pedagogical conversational agents that are suitable for providing feedback in online language *** put,the study encapsulates that screen agents play an essential role in students’motivation and acceptability of learning through feedback.

关键词： feedback learning performance online language assessment pedagogical conversational agents

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Machine Learning-Based Threatened Species Translocation Under Climate Vulnerability

引用

Intelligent Automation & Soft Computing 2023年第4期36卷 327-337页

作者： Nandhi Kesavan latha Department of Computer Science&Engineering Anna University(BIT Campus)Tiruchirappalli620024India

Climate change is the most serious causes and has a direct impact on *** to the world’s biodiversity conservation organization,rep-tile species are most affected since their biological and ecological qualities are directly linked to *** to a lack of time frame in existing works,conser-vation adoption affects the performance of existing *** proposed research presents a knowledge-driven Decision Support System(DSS)including the assisted translocation to adapt to future climate change to conserving from its *** Dynamic approach is used to develop a knowledge-driven DSS using machine learning by applying an ecological and biological variable that characterizes the model and mitigation processes for ***,the frame-work demonstrates the huge difference in the estimated signiﬁcance of climate change,the model strategy helps to recognize the probable risk of threatened spe-cies translocation to future climate *** proposed system is evaluated using various performance metrics and this framework can comfortably adapt to the decisions support to reintroduce the species for conservation in the future.

关键词： Machine learning climate change decision support system multiple regression conservation area receiver operating curve

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Sammon Quadratic Recurrent Multilayer Deep Classifier for Legal Document Analytics

引用

Computers, Materials & Continua 2022年第8期72卷 3039-3053页

作者： Divya Mohan latha Ravindran Nair School of Engineering Cochin University of Science and TechnologyKeralaIndia

In recent years,machine learning algorithms and in particular deep learning has shown promising results when used in the field of legal *** legal field is strongly affected by the problem of information overload,due to the large amount of legal material stored in textual *** text processing is essential in the legal domain to analyze the texts of the court events to automatically predict smart *** an increasing number of digitally available documents,legal text processing is essential to analyze documents which helps to automate various legal domain *** document classification is a valuable tool in legal services for enhancing the quality and efficiency of legal document *** this paper,we propose Sammon Keyword Mapping-based Quadratic Discriminant Recurrent Multilayer Perceptive Deep Neural Classifier(SKM-QDRMPDNC),a system that applies deep neural methods to the problem of legal document *** SKM-QDRMPDNC technique consists of many layers to perform the keyword extraction and ***,the set of legal documents are collected from the *** the keyword extraction is performed using SammonMapping technique based on the distance *** the extracted features,Quadratic Discriminant analysis is applied to performthe document classification based on the likelihood ratio ***,the classified legal documents are obtained at the output *** process is repeated until minimum error is *** experimental assessment is carried out using various performance metrics such as accuracy,precision,recall,F-measure,and computational time based on several legal documents collected from the *** observed results validated that the proposed SKM-QDRMPDNC technique provides improved performance in terms of achieving higher accuracy,precision,recall,and F-measure with minimum computation time when compared to existing methods.

关键词： Legal document data analytics recurrent multilayer perceptive deep neural network sammon mapping quadratic discriminant analysis likelihood ratio test

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

GSA-based support vector neural network:a machine learning approach for crop prediction to provision sustainable farming

引用

International Journal of Intelligent Computing and Cybernetics 2023年第1期16卷 1-16页

作者： A.Ashwitha C.A.latha Department of ISE Ramaiah Institute of TechnologyBangaloreIndia Department of CSE AMCECBangaloreIndia and Vishveshwarya Technical UniversityBelgaumIndia Department of CSE AMC Engineering CollegeBangaloreIndia

Purpose-Automated crop prediction is needed for the following reasons:First,agricultural yields were decided by a farmer’s ability to work in a certain field and with a particular crop *** were not always able to predict the crop and its yield solely on that idea ***,seed firms frequently monitor how well new plant varieties would grow in certain ***,predicting agricultural production is critical for solving emerging food security concerns,especially in the face of global climate *** production forecasts not only assist farmers inmaking informed economic andmanagement decisions but they also aid in the prevention of *** results in farming systems’efficiency and productivity gains,as well as reduced risk from environmental ***/methodology/approach-This research paper proposes a machine learning technique for effective autonomous crop and yield prediction,which makes use of solution encoding to create solutions randomly,and then for every generated solution,fitness is evaluated to meet highest *** focus of the proposed work is to optimize the weight parameter in the input *** algorithm continues until the optimal agent or optimal weight is selected,which contributes to maximum accuracy in automated crop ***-Performance of the proposed work is compared with different existing algorithms,such as Random Forest,support vector machine(SVM)and artificial neural network(ANN).The proposed method support vector neural network(SVNN)with gravitational search agent(GSA)is analysed based on different performance metrics,such as accuracy,sensitivity,specificity,CPU memory usage and training time,and maximum performance is *** limitations/implications-Rather than real-time data collected by Internet of Things(IoT)devices,this research focuses solely on historical data;the proposed work does not impose IoT-based smart farming,which enhances the overall agriculture system by

关键词： Crop yield Support vector machine(SVM) Artificial neural network(ANN) SVNN Gravitational search algorithm

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Antimicrobial drug resistance of Staphylococcus aureus in dairy products

引用

Asian Pacific Journal of Tropical Biomedicine 2011年第2期1卷 130-132页

作者： Sasidharan S Prema B yoga latha L Institute for Research in Molecular Medicine(INFORMM) Universiti Sains Malaysia Department of Biotechnology Faculty of Applied SciencesAIMST UniversityJalan Bedong-SemelingBatu 3 1/2Bukit Air Nasi

Objective:To evaluate the prevalence of multidrug resistant Staphylococcus aureus(***) in dairy ***:Isolation and identification of *** were performed in 3 dairybased food *** isolates were tested for their susceptibility to 5 different common antimicrobial ***:Of 50 samples examined,5(10%) were contaminated with 5. ***,the 5 isolates were subjected to antimicrobial resistance pattern using five antibiotic discs(methicillin,vancomycin,kanamycin,chloramphenicol and tetracycline).Sample 29 showed resistance to methicillin and *** 18 showed intermediate response to *** other samples were susceptible to all the antibiotics ***:The results provide preliminary data on sources of food contamination which may act as vehicles for the transmission of antimicrobial-resistant ***,it enables us to develop preventive strategies to avoid the emergence of new strains of resistant ***.

关键词： Antimicrobial drug resistance Staphylococcus aureus Milk Dairy product

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Binary Multifold Encryption Technique for Complex Cloud Systems

引用

Computer Systems Science & Engineering 2022年第9期42卷 1199-1213页

作者： N.Ansgar Mary T.latha Department of Information and Technology St.Xavier’s Catholic College of EngineeringTamil Nadu629001India Department of Electronics and Communication Engineering St.Xavier’s Catholic College of EngineeringTamil Nadu629001India

Data security is a major cloud computing issue due to different usertransactions in the system. The evolution of cryptography and cryptographic analysis are regarded domains of current research. deoxyribo nucleic acid (DNA) cryptography makes use of DNA as a sensing platform, which is then manipulated usinga variety of molecular methods. Many security mechanisms including knowledgebased authentication, two-factor authentication, adaptive authentication, multifactorauthentication and single password authentication have been deployed. These cryptographic techniques have been developed to ensure confidentiality, but most ofthem are based on complex mathematical calculations and equations. In the proposed approach, a novel and unique Hybrid helix scuttle-deoxy ribo nucleic acids(HHS-DNA) encryption algorithm has been proposed which is inspired by DNAcryptography and Helix scuttle. The proposed HHS-DNA is a type of multifold binary version of DNA (MF-BDNA). The major role of this paper is to present a multifold HHS-DNA algorithm to encrypt the cloud data assuring more security with lesscomplexity. The experimentation is carried out and it reduces the encryption time,cipher text size, and improves throughput. When compared with previous techniques, there is a 45% improvement in throughput, 37% fast in encryption time,54.67% cipher text size. The relevant experimental results and foregoing analysisshow that this method is of good robustness, stability, and security.

关键词： Cryptography cloud network deoxy ribo nucleic acid(DNA) encryption security cloud service provider(CSP)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Gorilla Troops Optimizer Based Fault Tolerant Aware Scheduling Scheme for Cloud Environment

引用

Intelligent Automation & Soft Computing 2023年第2期35卷 1923-1937页

作者： R.Rengaraj K.latha Department of Information Technology Saranathan College of EngineeringTiruchirapalli620012TamilnaduIndia Department of Computer Science and Engineering Anna University(BIT Campus)Trichy620024TamilnaduIndia

In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand *** can happen in CC environment and the cloud resources are adaptable toﬂuctuations in the performance *** execution failure becomes common in the CC ***,fault-tolerant scheduling techniques in CC environment are essential for handling performance differences,resourceﬂuxes,and ***,several intelli-gent scheduling approaches have been developed for scheduling tasks in CC with no consideration of fault tolerant *** this motivation,this study focuses on the design of Gorilla Troops Optimizer Based Fault Tolerant Aware Scheduling Scheme(GTO-FTASS)in CC *** proposed GTO-FTASS model aims to schedule the tasks and allocate resources by considering fault tolerance into *** GTO-FTASS algorithm is based on the social intelligence nature of gorilla ***,the GTO-FTASS model derives aﬁtness function involving two parameters such as expected time of completion(ETC)and failure probability of executing a *** addition,the presented fault detector can trace the failed tasks or VMs and then schedule heal submodule in sequence with a remedial or retrieval scheduling *** experimental vali-dation of the GTO-FTASS model has been performed and the results are inspected under several *** comparative analysis reported the better outcomes of the GTO-FTASS model over the recent approaches.

关键词： Cloud computing gorilla troops optimizer task scheduling fault tolerant task completion time failure probability

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Non Sub-Sampled Contourlet with Joint Sparse Representation Based Medical Image Fusion

引用

Computer Systems Science & Engineering 2023年第3期44卷 1989-2005页

作者： Kandasamy Kittusamy latha Shanmuga Vadivu Sampath Kumar Department of Electronics and Communication Engineering Tamilnadu College of EngineeringCoimbatore641659India

Medical Image Fusion is the synthesizing technology for fusing multi-modal medical information using mathematical procedures to generate better visual on the image content and high-quality image *** image fusion represents an indispensible role infixing major solutions for the complicated medical predicaments,while the recent research results have an enhanced affinity towards the preservation of medical image details,leaving color distortion and halo artifacts to remain *** paper proposes a novel method of fusing Computer Tomography(CT)and Magnetic Resonance Imaging(MRI)using a hybrid model of Non Sub-sampled Contourlet Transform(NSCT)and Joint Sparse Representation(JSR).This model gratifies the need for precise integration of medical images of different modalities,which is an essential requirement in the diagnosing process towards clinical activities and treating the patients *** the proposed model,the medical image is decomposed using NSCT which is an efficient shift variant decomposition transformation *** is exercised to extricate the common features of the medical image for the fusion *** performance analysis of the proposed system proves that the proposed image fusion technique for medical image fusion is more efficient,provides better results,and a high level of distinctness by integrating the advantages of complementary *** comparative analysis proves that the proposed technique exhibits better-quality than the existing medical image fusion practices.

关键词： Medical image fusion computer tomography magnetic resonance imaging non sub-sampled contourlet transform(NSCT) joint sparse representation(JSR)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Parallel Approach for Sentiment Analysis on Social Networks Using Spark

引用

Intelligent Automation & Soft Computing 2023年第2期35卷 1831-1842页

作者： M.Mohamed Iqbal K.latha Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai600062India University College of Engineering Anna University(B.I.T Campus)Tiruchirappalli620024India

The public is increasingly using social media platforms such as Twitter and Facebook to express their views on a variety of *** a result,social media has emerged as the most effective and largest open source for obtaining public *** node computational methods are inefﬁcient for sentiment analysis on such large *** or parallel or distributed proces-sing are two options for dealing with such large amounts of *** parallel programming frameworks,such as MPI(Message Processing Interface),are dif-ﬁcult to use and scale in environments where supercomputers are *** the Apache Spark Parallel Model,this proposed work presents a scalable system for sentiment analysis on Twitter.A Spark-based Naive Bayes training technique is suggested for this purpose;unlike prior research,this algorithm does not need any disk *** of tweets have been classiﬁed using the trained *** with various-sized clusters reveal that the suggested strategy is extremely scalable and cost-effective for larger data *** is nearly 12 times quicker than the Map Reduce-based model and nearly 21 times faster than the Naive Bayes Classiﬁer in Apache *** evaluate the framework’s scalabil-ity,we gathered a large training corpus from *** accuracy of the classi-ﬁer trained with this new dataset was more than 80%.

关键词： Social networks sentiment analysis big data spark tweets classiﬁcation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：