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Synergistic anticancer effect of green synthesized nickel nanoparticles and quercetin extracted from Ocimum sanctum leaf extract

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Journal of Materials Science & Technology 2018年第3期34卷 508-522页

作者： Palanivel Rameshthangam Jeyaraj Pandian chitra Department of Biotechnology Science Campus Alagappa University Department of Biochemistry Manonmaniam Sundaranar University

Leaf extract of medicinally important plant Ocimurn sanctum （O. sanctum） has been used for the synthesis of nickel nanoparticles （NiGs） and extraction of quercetin （Qu）. Qu has been conjugated with NiGs for enhanced anticancer effect on human breast cancer MCF-7 cells. Extracted Qu was conjugated with polyethylene glycol （PEG） coated NiGs （Qu-PEG-NiGs） which was used as carriers for breast cancer treatment. Anticancer activity of Qu-PEG-NiGs was evaluated by assessing cell viability, reactive oxygen species （ROS） production, caspase activity, mitochondrial membrane potential （MMP） and changes in nuclear morphology （staining methods）. 0.85 mg of quercetin was extracted from I g of leaves with retention time （Rt） of 2.914 rain. Loading and encapsulation efficiency of quercetin onto PEG-NiGs was 15.04% and 82% respectively and Qu-PEG-NiGs has shown a sustained release of Qu of about 84% after 48 h. Qu and Qu-PEG-NiGs showed dose dependent （1.56-50 μg/mL） anticancer effect against MCF-7 cells with IC50 values of 50 and 6.25 μg/mL respectively which was mediated by oxidative stress due to ROS over-production that induced loss of mitochondrial membrane potential, capsase -9, -7 activities leading to apoptosis. The present study validates that Qu-PEG-NiGs can be used as a potential anticancer agent for cancer therapy.

关键词： Nickel nanoparticles Quercetin Anticancer Apoptosis MCF-7 cells Ocimum sanctum

A modified neural learning algorithm for online resistance estimation in vector controlled induction drives rotor motor

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Frontiers in Energy 2015年第1期9卷 22-30页

作者： A. chitra S. HIMAVATHI School of Electrical Engineering Vellore Institute of TechnologyUniversity Katpadi Vellore 632014 India Department of Electrical and Electronics Engineering PondicherryEngineering College Pudhucherry 605014 India

Online estimation of rotor resistance is essen- tial for high performance vector controlled drives. In this paper, a novel modified neural algorithm has been identified for the online estimation of rotor resistance. Neural based estimators are now receiving active con- sideration as they have a number of advantages over conventional techniques. The training algorithm of the neural network determines its learning speed, stability, weight convergence, accuracy of estimation, speed of tracking and ease of implementation. In this paper, the neural estimator has been studied with conventional and proposed learning algorithms. The sensitivity of the rotor resistance change has been tested for a wide range of variation from -50% to ＋50% on the stability of the drive system with and without estimator. It is quiet appealing to settle with optimal estimation time and error for the viable realization. The study is conducted extensively for estimation and tracking. The proposed learning algorithm is found to exhibit good estimation and tracking capabilities. Besides, it reduces computational complexity and, hence, more feasible for practical digital implementa- tion.

关键词： neural networks back propagation (BP) rotorresistance estimators vector control induction motor

Exogenous Peroxidase Mitigates Cadmium Toxicity, Enhances Rhizobial Population and Lowers Root Knot Formation in Rice Seedlings

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Rice science 2021年第2期28卷 166-177页

作者： Priyanka SINGH chitra POKHARIA Kavita SHAH Department of Biochemistry Faculty of ScienceBanaras Hindu UniversityVaranasi 221005India Environmental Biotechnology Laboratory Department of Environment and Sustainable DevelopmentInstitute of Environment and Sustainable DevelopmentBanaras Hindu UniversityVaranasi 221005India

Soil cadmium (Cd) causes toxicity and oxidative stress, alters biochemical processes and rootknot formation in rice. Irrigation of exogenous peroxidase (POX) together with its co-substrate H2O2(POXRice + H2O2), is likely to have protective effect upon the biochemical and nodular changes in ricegrown in Cd-rich soil. Exposure to Cd concentration of 1.00 mg/L increased oxidative stress, loss of cellviability, electrolyte leakage and root knot formation, whereas it significantly lowered the chlorophyll leveland rhizobium growth in rice. Irrigation of exogenous POXRice + H2O2 to Cd-stressed rice seedlingsreversed the Cd-induced alterations in rice to levels similar in control (non-stressed) seedlings. Resultsprovided strong evidence of exogenous POXRice + H2O2-mediated reversal and restoration of physiologicaland biochemical processes as well as increased resistance of rice seedlings to root knot *** with POXRice + H2O2 appeared to contribute towards bringing normoxic conditions in the otherwisehypoxic soil environment by enhancing the O2 in pot-experiments due to reduced Cd uptake, enhancedmineral homeostasis of essential elements viz. P, Fe, Mo, Mg and Mn for maintenance of root architecturedamaged by lipid peroxidation and reduction in oxidative stress by reducing Cd-induced reactive oxygenspecies generation. Therefore, the mitigation of Cd-toxicity in rice through this novel approach appeared tobe a promising mode to limit Cd-uptake, modulate protective and tolerance mechanisms for sustainablerice yield in Cd-contaminated rice-croplands and prevent nematode attack in rice, however, more detailedstudies are needed prior to large scale applications.

关键词： cadmium peroxidase rice rhizobium root knot reactive oxygen species antioxidant enzyme

Community Detection Using Jaacard Similarity with SIM-Edge Detection Techniques

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Computer Systems Science & Engineering 2023年第1期44卷 327-337页

作者： K.chitra A.Tamilarasi Department of Computer Applications Kongu Engineering CollegePerundurai638060India

The structure and dynamic nature of real-world networks can be revealed by communities that help in promotion of recommendation *** Media platforms were initially developed for effective communication,but now it is being used widely for extending and to obtain profit among business *** numerous data generated through these platforms are utilized by many companies that make a huge profit out of it.A giant network of people in social media is grouped together based on their similar properties to form a ***-nity detection is recent topic among the research community due to the increase usage of online social *** is one of a significant property of a net-work that may have many communities which have similarity among *** detection technique play a vital role to discover similarities among the nodes and keep them strongly *** nodes in a network are grouped together in a single *** can be merged together to avoid lot of groups if there exist more edges between *** Learning algorithms use community detection to identify groups with common properties and thus for recommen-dation systems,health care assistance systems and many *** the above,this paper presents alternative method SimEdge-CD(Similarity and Edge between's based Community Detection)for community *** two stages of SimEdge-CD initiallyfind the similarity among nodes and group them into one *** the second stage,it identifies the exact affiliations of boundary nodes using edge betweenness to create well defined *** of proposed method on synthetic and real datasets proved to achieve a better accuracy-efficiency trade-of compared to other existing *** proposed SimEdge-CD achieves ideal value of 1 which is higher than existing sim closure like LPA,Attractor,Leiden and walktrap techniques.

关键词： Social media networks community detection divisive clustering business community

Seedling potential of trees species along the elevational gradient in temperate hill forest of central Nepal

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Journal of Mountain Science 2024年第4期21卷 1329-1344页

作者： DANI Ram Sharan BANIYA chitra Bahadur Central Department of Botany Tribhuvan UniversityKirtipur 44618Nepal

Regeneration status of tree species along elevation gradient in temperate hill forest was not understood *** research examined the tree diversity and its regeneration patterns along an elevation gradient in temperate hill forest,central *** were collected from 300 sample plots within vertical elevation bands of 10,ranging from 1365 to 2450 m asl.A random sampling method was used for data collection in three seasons,winter,pre-monsoon and post monsoon *** at breast height(DBH)was used to broadly categorize the plant individual into trees,saplings and *** tree species richness ranged from 12 to 25 with density of 350 to 1200 individuals per *** richness of tree and sapling showed statistically significant unimodal pattern,which peaked at *** showed a strong and positive linear correlation with the seedling density(Deviance=0.99,pseedling(10.6%)≤mature(10.9%).Among tested environmental variables,elevation and annual mean rainfall were the most influential factors in the regeneration of tree species.

关键词： Regeneration potential Chandragiri hill Altitudinal gradient Species diversity Tree species richness

Simple shear extrusion versus equal channel angular pressing:A comparative study on the microstructure and mechanical properties of an Mg alloy

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Journal of Magnesium and Alloys 2023年第5期11卷 1769-1790页

作者： A.Rezaei R.Mahmudi C.Cayron R.E.logé School of Metallurgical and Materials Engineering College of EngineeringUniversity of TehranNorth Kargar StreetTehran 14395-515Iran Laboratory of Thermomechanical Metallurgy-PX Group Chair Ecole Polytechnique Fédérale de Lausanne(EPFL)Neuchâtel CH-2002Switzerland

Two severe plastic deformation(SPD)techniques of simple shear extrusion(SSE)and equal channel angular pressing(ECAP)were employed to process an extruded Mg-6Gd-3Y-1.5Ag(wt%)alloy at 553 K for 1,2,4 and 6 *** microstructural evolutions were studied by electron back scattered diffraction(EBSD)analysis and transmission electron microscopy(TEM).The initial grain size of 7.5μm in the extruded alloy was reduced to about 1.3μm after 6 SPD *** dynamic recrystallization was suggested to be operative in both SSE and ECAP,with also a potential contribution of continuous dynamic recrystallization at the early stages of *** difference in the shear strain paths of the two SPD techniques caused different progression rate of dynamic recrystallization(DRX),so that the alloys processed by ECAP exhibited higher fractions of recrystallization and high angle grain boundaries(HAGBs).It was revealed that crystallographic texture was also significantly influenced by the difference in the strain paths of the two SPD methods,where dissimilar basal plane texture components were *** compression tests,performed along extrusion direction(ED),indicated that the compressive yield stress(CYS)and ultimate compressive strength(UCS)of the alloys after both SEE and ECAP augmented continuously by increasing the number of ***-processed alloys had lower values of CYS and UCS compared to their counterparts processed by *** difference in the mechanical responses was attributed to the different configurations of basal planes with respect to the loading direction(ED)of each SPD technique.

关键词： Mg-Gd-Y alloys Severe plastic deformation Simple shear extrusion Equal channel angular pressing Dynamic recrystallization Mechanical properties

Hybrid Cloud Security by Revocable KUNodes-Storage with Identity-Based Encryption

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Computer Systems Science & Engineering 2022年第12期43卷 985-996页

作者： S.Saravanakumar S.chitra Department of Information Technology Paavai Engineering CollegeNamakkal637018India Department of Computer Science and Engineering Er.Perumal Manimekalai College of EngineeringHosur63117India

Cloud storage is a service involving cloud service providers providingstorage space to customers. Cloud storage services have numerous advantages,including convenience, high computation, and capacity, thereby attracting usersto outsource data in the cloud. However, users outsource data directly via cloudstage services that are unsafe when outsourcing data is sensitive for users. Therefore, cipher text-policy attribute-based encryption is a promising cryptographicsolution in a cloud environment, and can be drawn up for access control by dataowners (DO) to define access policy. Unfortunately, an outsourced architectureapplied with attribute-based encryption introduces numerous challenges, including revocation. This issue is a threat to the data security of DO. Furthermore,highly secure and flexible cipher text-based attribute access control with role hierarchy user grouping in cloud storage is implemented by extending the KUNodes(revocation) storage identity-based encryption. Result is evaluated using Cloudsim, and our algorithm outperforms in terms of computational cost by consuming32 MB for 150-MB files.

关键词： Cloud computing storage identification based revocation attribute based access control encryption decryption

Energy Efficient Networks Using Ant Colony Optimization with Game Theory Clustering

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Intelligent Automation & Soft Computing 2023年第3期35卷 3557-3571页

作者： Harish Gunigari S.chitra Department of Computer Science and Engineering Hosur635117India Er.Perumal Manimekalai College of Engineering Hosur635117India

Real-time applications based on Wireless Sensor Network(WSN)tech-nologies quickly lead to the growth of an intelligent *** nodes play an essential role in distributing information from networking and its transfer to the *** ability of dynamical technologies and related techniques to be aided by data collection and analysis across the Internet of Things(IoT)network is widely *** nodes are low-power devices with low power devices,storage,and quantitative processing *** existing system uses the Artiﬁcial Immune System-Particle Swarm Optimization method to mini-mize the energy and improve the network’s *** the proposed system,a hybrid Energy Efﬁcient and Reliable Ant Colony Optimization(ACO)based on the Routing protocol(E-RARP)and game theory-based energy-efﬁcient clus-tering algorithm(GEC)were used.E-RARP is a new Energy Efﬁcient,and Reli-able ACO-based Routing Protocol for Wireless Sensor *** suggested protocol provides communications dependability and high-quality channels of communication to improve *** wireless sensor networks,a game theo-ry-based energy-efﬁcient clustering technique(GEC)is used,in which each sen-sor node is treated as a player on the *** sensor node can choose beneﬁcial methods for itself,determined by the length of idle playback time in the active phase,and then decide whether or not to *** proposed E-RARP-GEC improves the network’s lifetime and data transmission;it also takes a minimum amount of energy compared with the existing algorithms.

关键词： Ant colony optimization game theory wireless sensor network network lifetime routing protocol data transmission energy efﬁciency

Optimal Data Placement and Replication Approach for SIoT with Edge

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Computer Systems Science & Engineering 2022年第5期41卷 661-676页

作者： B.Prabhu Shankar S.chitra Department of Information Technology Er Perumal Manimekalai College of EngineeringHosur635117TamilnaduIndia Department of Computer Science and Engineering Er Perumal Manimekalai College of EngineeringHosur63117TamilnaduIndia

Social networks(SNs)are sources with extreme number of users around the world who are all sharing data like images,audio,and video to their friends using IoT *** concept is the so-called Social Internet of Things(SIot).The evolving nature of edge-cloud computing has enabled storage of a large volume of data from various sources,and this task demands an efficient storage *** this kind of large volume of data storage,the usage of data replication using edge with geo-distributed cloud service area is suited to fulfill the user’s expectations with low *** major issue is the way to store the data and replicate these large data items optimally and allocate the request from the data center *** efficient storage of these data,we use edge server,which is part of the cloud server,in this ***,the data are distributed and stored with quick access,which will reduce the latency with *** proposed data placement approach learns with machine learning(ML)algorithm called radial basis kernel function assisted with support vector machine(RBF-SVM)to classify the data center for storing the user and friend’s data from the SIoT *** learning algorithms will be used to predict the workload of the data stored in the data center as either edge or cloud depending on the existing time *** data placement with dynamic nature is also optimized using the proposed dynamic graph partitioning(GP)method to meet the individual user’s demand of low latency with minimum *** way will keep the SIoT data placement efficient and effective over ***,this proposed data placement and replication approach introduces three kinds of innovations compared with the existing data placement approach.(i)Rather than storing the user data in a single cloud,this study uses the edge server closest to the SIoT devices for faster access with reduced response time.(ii)The classification algorithm called RBF-SVM is used to find storage for

关键词： Data placement data replication social network social internet of things edge computing cloud computing graph partitioning support vector machine machine learning radial basis function latency storage cost