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Structural biology oriented predicative analysis of immunogenic epitopes on SARS-CoV-2 viral sequence by variable algorithms

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Asian Pacific Journal of Tropical Medicine 2020年第6期13卷 283-284页

作者： Dhanasekaran sivaraman Department of Pharmacology and Toxicology Centre for Laboratory Animal Technology and ResearchSathyabama Institute of Science and TechnologyJeppiaar NagarChennai 600119Tamil NaduIndia School of Pharmacy Sathyabama Institute of Science and TechnologyJeppiaar NagarChennai 600119Tamil NaduIndia Chinese Association for Laboratory Animal Sciences Chaoyang DistrictBeijing 100021China

Epitopes are small segmented antigenic peptides that are able to elicit the immune response by recognizing B and *** the present scenario,knowledge of immunogenic epitopes specific to severe acute respiratory syndrome coronavirus(SARS-CoV-2)becomes highly essential for understanding the disease pathogenesis,etiology,disease screening and also for the development of suitable viral vaccine candidates.

关键词： acute vaccine respiratory

Modeling of thermal conductivity and density of alumina/silica in water hybrid nanocolloid by the application of Artificial Neural Networks

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Chinese Journal of Chemical Engineering 2019年第3期27卷 726-736页

作者： Sathishkumar Kannaiyan Chitra Boobalan Fedal Castro Nagarajan Srinivas sivaraman Department of Chemical Engineering Sri Sivasubramaniya Nadar College of Engineering Department of Mechanical Engineering Aarupadai Veedu Institute of Technology

In this research work, the thermal conductivity and density of alumina/silica(Al_2O_3/SiO_2) in water hybrid nanofluids at different temperatures and volume concentrations have been modeled using the artificial neural networks(ANN). The nanocolloid involved in the study was synthesized by the two-step method and characterized by XRD, TEM, SEM–EDX and zeta potential analysis. The properties of the synthesized nanofluid were measured at various volume concentrations(0.05%, 0.1% and 0.2%) and temperatures(20 to 60 °C). Established on the observational data and ANN, the optimum neural structure was suggested for predicting the thermal conductivity and density of the hybrid nanofluid as a function of temperature and solid volume concentrations. The results indicate that a neural network with 2 hidden layers and 10 neurons have the lowest error and a highest fitting coefficient o thermal conductivity, whereas in the case of density, the structure with 1 hidden layer consisting of 4 neurons proved to be the optimal structure.

关键词： Thermal conductivity Modeling hybrid nanocolloids ANN thermal energy

ACE2 downregulation promotes thrombosis and cardiac injury in COVID-19 patients

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Asian Pacific Journal of Tropical Medicine 2021年第7期14卷 330-332页

作者： Dhanasekaran sivaraman Kagithakara Vajravelu Leela Venkatesalu Venugopal Department of Pharmacology and Toxicology Centre for Laboratory Animal Technology and ResearchSathyabama Institute of Science and TechnologyJeppiaar NagarChennaiTamil Nadu 600119India School of Pharmacy Sathyabama Institute of Science and TechnologyJeppiaar NagarChennaiTamil Nadu 600119India Chinese Association for Laboratory Animal Sciences Chaoyang DistrictBeijing 100021China Department of Microbiology SRM Medical College Hospital and Research CentreTamil Nadu 603211India Department of Internal Medicine Sundaram Health CentreTamil Nadu 632102India

The outbreak of novel coronavirus disease(COVID-19)caused by SARS-CoV-2 severely challenges the economic stability of countries around the *** responses induced by active infection and vaccination have resulted in severe complications like thrombosis and cardiac injury in a measurable number of COVID-19 ***,knowledge of dissemination of these events is of clinical importance.

关键词： ACE2 cardiac thrombosis

Effect of chlorine doping on the structural, morphological, optical and electrical properties of spray deposited CdS thin films

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Progress in Natural Science:Materials International 2015年第5期25卷 392-398页

作者： T.sivaraman V.Narasimman V.S.Nagarethinam A.R.Balu PG and Research Department of Physics A.V.V.M Sri Pushpam College

CdS and chlorine doped CdS(CdS:Cl) thin films with different Cl-doping levels(0,2,4,6 and 8 at%) have been deposited on glass substrates by a spray pyrolysis technique using a perfume *** effect of Cl doping on the structural,morphological,optical and electrical properties of the films was *** patterns revealed that all the films exhibit hexagonal crystal structure with a preferential orientation along the(0 0 2) plane irrespective of the Cl doping *** particle size value decreases from 22.03 nm to 18.12 nm with increase in Cl *** band gap is blue-shifted from 2.48 eV to 2.73 eV with increase in Cl doping *** the films have resistivity in the order of 10～4 Ω *** obtained results confirm that chlorine as an anionic dopant material can enhance the physical properties of CdS thin films to a large extent.

关键词： X-ray diffraction Crystal structure Preferential orientation Thin films Optical band gap

Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network

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Computer Systems Science & Engineering 2022年第10期43卷 275-289页

作者： V.Ulagamuthalvi G.Kulanthaivel A.Balasundaram Arun Kumar sivaraman Department of Computer Science and Engineering Sathyabama UniversityChennai600119India Department of Electrical Electronics and Communication EngineeringNITTTRChennai600113India Centre for Cyber Physical Systems School of Computer Science and EngineeringVellore Institute of Technology(VIT)Chennai600127India School of Computer Science and Engineering Vellore Institute of Technology(VIT)Chennai600127India

One of the fast-growing disease affecting women’s health seriously is breast *** is highly essential to identify and detect breast cancer in the earlier *** paper used a novel advanced methodology than machine learning algorithms such as Deep learning algorithms to classify breast cancer *** learning algorithms are fully automatic in learning,extracting,and classifying the features and are highly suitable for any image,from natural to medical *** methods focused on using various conventional and machine learning methods for processing natural and medical *** is inadequate for the image where the coarse structure matters *** of the input images are downscaled,where it is impossible to fetch all the hidden details to reach accuracy in *** deep learning algorithms are high efficiency,fully automatic,have more learning capability using more hidden layers,fetch as much as possible hidden information from the input images,and provide an accurate *** this paper uses AlexNet from a deep convolution neural network for classifying breast cancer in mammogram *** performance of the proposed convolution network structure is evaluated by comparing it with the existing algorithms.

关键词： Medical image processing deep learning convolution neural network breast cancer feature extraction classification

Comparative Analysis of Execution of CNN-Based Sanguine Data Transmission with LSB-SS and PVD-SS

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Computer Systems Science & Engineering 2023年第8期46卷 1707-1721页

作者： Alaknanda S.Patil G.Sundari Arun Kumar sivaraman Department of Electronics and Communication Sathyabama Institute of Science and TechnologyChennaiTamil Nadu600119India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India

The intact data transmission to the authentic user is becoming crucial at every moment in the current ***;is a technique for concealing the hidden message in any cover media such as image,video;and audio to increase the protection of *** resilience and imperceptibility are improved by choosing an appropriate embedding *** paper gives a novel system to immerse the secret information in different videos with different *** audio and video steganography with novel amalgamations are implemented to immerse the confidential auditory information and the authentic user’s face image.A hidden message is first included in the audio from the multimedia file;using LSB *** Stego-video is created in the second stage by merging the authorized user’s face into the frame of the video;by using PVD ***-audio is linked again with the stego-video in the third *** incorporated perspective techniques(LSB-SS and PVD-SS algorithms)with more significant data immersing capacity,good robustness and imperceptibility are proposed in this research *** spread spectrum approach is used to increase the complexity of secret data *** different video files are tested with different voice files with the results such as PSNR,SSIM,RMSE and MSE as 52.3,0.9963,0.0024 and 0.0000059,respectively.

关键词： Audio steganography data hiding information security pixel value differencing

Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map

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Computers, Materials & Continua 2023年第3期74卷 6703-6717页

作者： K.Priyadarsini Arun Kumar sivaraman Abdul Quadir Md Areej Malibari Department of Data Science and Business Systems School of ComputingCollege of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathurChennai603203India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

With the rapid evolution of Internet technology,fog computing has taken a major role in managing large amounts of *** major concerns in this domain are security and ***,attaining a reliable level of confidentiality in the fog computing environment is a pivotal *** different types of data stored in the fog,the 3D point and mesh fog data are increasingly popular in recent days,due to the growth of 3D modelling and 3D printing ***,in this research,we propose a novel scheme for preserving the privacy of 3D point and mesh fog *** Cat mapbased data encryption is a recently trending research area due to its unique properties like pseudo-randomness,deterministic nature,sensitivity to initial conditions,ergodicity,*** boost encryption efficiency significantly,in this work,we propose a novel Chaotic Cat *** sequence generated by this map is used to transform the coordinates of the fog *** improved range of the proposed map is depicted using bifurcation *** quality of the proposed Chaotic Cat map is also analyzed using metrics like Lyapunov exponent and approximate *** also demonstrate the performance of the proposed encryption framework using attacks like brute-force attack and statistical *** experimental results clearly depict that the proposed framework produces the best results compared to the previous works in the literature.

关键词： Chaotic cat map fog computing encryption 3D point fog 3D mesh

Intelligent System Application to Monitor the Smart City Building Lighting

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Computers, Materials & Continua 2023年第5期75卷 3159-3169页

作者： Tzu-Chia Chen Ngakan Ketut Acwin Dwijendra Saurabh Singhal R.sivaraman Amr Mamdouh Department of Industrial Engineering and Management Ming Chi University of TechnologyNew Taipei City24301Taiwan Department of Architecture Faculty of EngineeringUdayana UniversityBali80361Indonesia Department of Computer Engineering and Applications GLA UniversityMathuraUttar PradeshIndia Department of Mathematics Dwaraka Doss Goverdhan Doss Vaishnav CollegeArumbakkamUniversity of MadrasChennaiIndia Architectural Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egyp

A smart city incorporates infrastructure methods that are environmentally responsible,such as smart communications,smart grids,smart energy,and smart *** city administration has prioritized the use of cutting-edge technology and informatics as the primary strategy for enhancing service quality,with energy resources taking *** achieve optimal energy management in themultidimensional system of a city tribe,it is necessary not only to identify and study the vast majority of energy elements,but also to define their implicit *** is because optimal energy management is required to reach this *** lighting index is an essential consideration when evaluating the comfort *** order to realize the concept of a smart city,the primary objective of this research is to create a system for managing and monitoring the lighting *** is possible to identify two distinct phaseswithin the intelligent *** data collection concludes,the monitoring system will be *** the second step,the operation of the control system is analyzed and its effect on the performance of the numerical model is *** evaluation is based on the proposed *** optimized resultswere deemed satisfactory because they maintained the brightness index value(79%)while consuming less *** intelligent implementation system generated satisfactory outcomes,which were observed 1.75 times on average.

关键词： Smart city lighting index residential building energy consumption

Remote ischaemic conditioning for stroke: unanswered questions and future directions

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Stroke & Vascular Neurology 2021年第2期6卷 298-309页

作者： Sheharyar Baig Bethany Moyle Krishnan Padmakumari sivaraman Nair Jessica Redgrave Arshad Majid Ali Ali Cerebrovascular Medicine The University of Sheffield Institute for Translational NeuroscienceSheffieldUK Neurosciences Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK Faculty of Medicine and Dentistry University of SheffieldSheffieldUK Geriatrics and Stroke Medicine Sheffield Teaching Hospitals NHS Foundation TrustSheffieldUK Sheffield NIHR Biomedical Research Centre The University of SheffieldSheffieldUK

Remote ischaemic conditioning(RIC)refers to a process whereby periods of intermittent ischaemia,typically via the cyclical application of a blood pressure cuff to a limb at above systolic pressure,confers systemic protection against ischaemia in spatially distinct vascular *** mechanisms underlying this have not been characterised fully but have been shown to involve neural,hormonal and systemic inflammatory signalling *** and early clinical studies have been promising and suggest beneficial effects of RIC in acute ischaemic stroke,symptomatic intracranial stenosis and vascular cognitive *** systematic searches of several clinical trials databases we identified 48 active clinical trials of RIC in ischaemic stroke,intracerebral haemorrhage and subarachnoid *** summarise the different RIC protocols and outcome measures studied in ongoing clinical trials and highlight which studies are most likely to elucidate the underlying biological mechanisms of RIC and characterise its efficacy in the near *** discuss the uncertainties of RIC including the optimal frequency and duration of therapy,target patient groups,cost-effectiveness,the confounding impact of medications and the absence of a clinically meaningful biomarker of the conditioning *** several large clinical trials of RIC expected to report their outcomes within the next 2 years,this review aims to highlight the most important studies and unanswered questions that will need to be addressed before this potentially widely accessible and low-cost intervention can be used in clinical practice.

关键词： Remote directions founding