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Mixed-phase composites derived from cobalt terephthalate as efficient battery-type electrodes for high-performance supercapattery

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Journal of Materials Science & Technology 2023年第26期157卷 220-233页

作者： ramu manikandan Antonysamy Dennyson Savariraj Goli Nagaraju A.M.Kale J.Puigdollers Hyejin Park Hyun-Soo Kim Jae-Min Oh C.Justin Raj Byung Chul Kim Department of Energy and Materials Engineering Dongguk University-SeoulSeoul 04620Republic of Korea Advanced Functional Nanohybrid Material Laboratory Department of ChemistryDongguk University Seoul-CampusJung-guSeoul04620Republic of Korea Department of Materials Imperial College LondonLondon SW72AZUnited Kingdom Department of Advanced Components and Materials Engineering Sunchon National University255Jungang-roSuncheon-siJellanamdo57922Republic of Korea Department of Enginyeria Electrònica Universitat Politècnica CatalunyaBarcelona 08034Spain Next Generation Battery Research Center Korea Electrotechnology Research Institute(KERI)Changwon51543Republic of Korea Physics Division School of Advanced SciencesVellore Institute of Technology(VIT)Chennai CampusChennai600127Tamil NaduIndia

Interfacial engineering of two-dimensional(2D)monometallic phosphides enables remarkable structural and electrochemical properties in energy storage devices.Herein,2D nanosheets(NSs)of FeP_(2)/Co_(2) P were grown on Ni-foam(FCP)using a solution-based and phosphorization approach to be used as freestanding for high-performance energy storage devices.An effective phosphorization strategy is successfully de-veloped to improve the overall crystalline phase,tailor the morphology,and boost the electrochemical performances of electrodes.The FCP NSs electrode exhibits a battery-type redox behavior with a maxi-mum high areal capacity of 1.96 C cm^(-2) at 4 mA cm^(-2) in 6 M KOH aqueous electrolyte compared to the other counterparts.The superior electrochemical performance was achieved by increasing the electroac-tive sites and high conductivity via surface tailoring and fast redox reactions.Moreover,a supercapattery was assembled utilizing FCP and activated carbon(AC)electrodes and it revealed maximum specific en-ergy(E_(s))and specific power(P_(s))of 41.2 Wh kg^(-1) and 7578 W kg^(-1) with good cycling stability of 91%after 10,000 cycles at 5 A g^(-1).Eventually,the supercapattery has been explored in practical applications by lighting up light-emitting diodes(LEDs),representing the real-time performance of superior energy storage devices.

关键词： 2D nanosheet Monometallic phosphide Battery-type material Supercapattery Energy storage

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Risk estimation of chronic kidney disease in a leptospirosis endemic area: A case-control study from south Andaman Islands of India

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Asian Pacific Journal of Tropical Medicine 2023年第10期16卷 463-471页

作者： Ambreen Fatema Manjunatha ramu Paluru Vijayachari ICMR-Regional Medical Research Centre Port BlairPost Bag No.13DollygunjPort Blair 744101Andaman&Nicobar IslandsIndia

Objective:To estimate the risk of chronic kidney disease in patients with leptospirosis.Methods:All reported(41890)and later confirmed leptospirosis(1990)cases from 2010-2020 were traced by universal sampling.386 Laboratory-confirmed leptospirosis cases were enrolled and 413 age,gender,area,and occupation matched healthy persons were included as controls.Variables including socio-demographic characteristics,medical history,and health-related behaviours were compared between the two groups and association between these variables and reduced estimated glomerular filtration rate(eGFR)was analyzed with multiple linear regression.Results:The median of eGFR was 49.0(27.0,75.0)mL/min/1.73 m^(2) in the cases and 96.0(72.0,121.0)mL/min/1.73 m^(2) in the controls,showing significant differences(P<0.001).Bivariate analysis showed that leptospirosis seropositivitiy,repeat leptospirosis infection,diabetes,male gender,working in field(sun exposure),COVID-19 infection and smoking had statistically significant association with reduced eGFR.Leptospirosis seropositivity had negative effects on eGFR.Multiple linear regression confirmed that leptospirosis seropositivity had negative effects on eGFR(unstandardised β coefficients=−30.86,95%CI−49.7 to−11.9,P<0.001).Conclusions:Chronic kidney disease is a complex disease with multiple risk factors involved.Exposure to leptospirosis is one of the essential factors in accelerating its progression.

关键词： Chronic kidney disease Endemic leptospirosis Estimated glomerular filtration rate(eGFR)

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Artificial Intelligence Model for Software Reusability Prediction System

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Intelligent Automation & Soft Computing 2023年第3期35卷 2639-2654页

作者： R.Subha Anandakumar Haldorai Arulmurugan ramu Sri Eshwar College of Engineering Coimbatore641202India Presidency University Bengaluru560064India

The most signiﬁcant invention made in recent years to serve various applications is software.Developing a faultless software system requires the soft-ware system design to be resilient.To make the software design more efﬁcient,it is essential to assess the reusability of the components used.This paper proposes a software reusability prediction model named Flexible Random Fit(FRF)based on aging resilience for a Service Net(SN)software system.The reusability predic-tion model is developed based on a multilevel optimization technique based on software characteristics such as cohesion,coupling,and complexity.Metrics are obtained from the SN software system,which is then subjected to min-max nor-malization to avoid any saturation during the learning process.The feature extrac-tion process is made more feasible by enriching the data quality via outlier detection.The reusability of the classes is estimated based on a tool called Soft Audit.Software reusability can be predicted more effectively based on the pro-posed FRF-ANN(Flexible Random Fit-Artiﬁcial Neural Network)algorithm.Performance evaluation shows that the proposed algorithm outperforms all the other techniques,thus ensuring the optimization of software reusability based on aging resilient.The model is then tested using constraint-based testing techni-ques to make sure that it is perfect at optimizing and making predictions.

关键词： Service net aging resilient software reusability evolutionary computing intelligent computing

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High current limits in chemical vapor deposited graphene spintronic devices

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Nano Research 2023年第4期16卷 4233-4239页

作者： Daria Belotcerkovtceva J.Panda M.ramu Tapati Sarkar Ulrich Noumbe M.Venkata Kamalakar Department of Physics and Astronomy Uppsala UniversityBox 516Uppsala SE-75120Sweden Department of Materials Science and Engineering Uppsala UniversityBox 35Uppsala SE-75103Sweden

Understanding the stability and current-carrying capacity of graphene spintronic devices is key to their applications in graphene channel-based spin current sensors,spin-torque oscillators,and potential spin-integrated circuits.However,despite the demonstrated high current densities in exfoliated graphene,the current-carrying capacity of large-scale chemical vapor deposited(CVD)graphene is not established.Particularly,the grainy nature of chemical vapor deposited graphene and the presence of a tunnel barrier in CVD graphene spin devices pose questions about the stability of high current electrical spin injection.In this work,we observe that despite structural imperfections,CVD graphene sustains remarkably highest currents of 5.2×10^(8)A/cm^(2),up to two orders higher than previously reported values in multilayer CVD graphene,with the capacity primarily dependent upon the sheet resistance of graphene.Furthermore,we notice a reversible regime,up to which CVD graphene can be operated without degradation with operating currents as high as 108 A/cm^(2),significantly high and durable over long time of operation with spin valve signals observed up to such high current densities.At the same time,the tunnel barrier resistance can be modified by the application of high currents.Our results demonstrate the robustness of large-scale CVD graphene and bring fresh insights for engineering and harnessing pure spin currents for innovative device applications.

关键词： chemical vapor deposited(CVD)graphene high current density graphene spintronics spin integrated circuits graphene spin valve

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NiMoO_4纳米颗粒的溶胶-凝胶法合成及其组织、形貌、光学、磁学和光催化性能（英文）

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Transactions of Nonferrous Metals Society of China 2017年第8期27卷 1785-1793页

作者： V.UMAPATHY P.NEERAJA A.manikandan P.ramu Research and Development Centre Bharathiar UniversityCoimbatoreTamil Nadu 641046India Caplin Point Laboratories Limited Chennai 600017India Department of Chemistry NKR Government Arts College for WomenNamakkalTamil Nadu 637001India Department of Chemistry Bharath Institute of Higher Education and ResearchBharath UniversityChennai 600073India Department of Chemistry Meenakshi Academy of Higher Education and ResearchChennaiTamil Nadu 600078India

采用溶胶-凝胶法合成钼酸镍(NiMoO_4)纳米颗粒。以水作为溶剂使所得产品具有纳米晶结构。使用X射线衍射、能量分散X射线分析(EDX)和傅里叶转换红外光谱等手段对纳米晶进行结构表征。使用扫描电镜和透射电镜对纳米晶颗粒的尺寸大小和形... 详细信息

采用溶胶-凝胶法合成钼酸镍(NiMoO_4)纳米颗粒。以水作为溶剂使所得产品具有纳米晶结构。使用X射线衍射、能量分散X射线分析(EDX)和傅里叶转换红外光谱等手段对纳米晶进行结构表征。使用扫描电镜和透射电镜对纳米晶颗粒的尺寸大小和形貌进行观察。结果表明,所得纳米颗粒和纯度较高,为单相单斜结构。采用紫外-可见漫反射光谱(UV-Vis-DRS)和光致发光测量法研究室温下产品的光学性能。采用振动样品磁强计(VSM)研究样品的磁性能。结果显示,所得样品具有超顺磁行为。考察了NiMnO_4样品的光催化活性。结果显示,添加TiO_2能提高NiMnO_4的光催化活性。测定了催化剂NiMnO_4、TiO_2和NiMoO_4-TiO_2纳米颗粒对4-氯酚(4-CP)的光催化降解行为。光催化降解结果显示,NiMoO_4-TiO_2纳米颗粒的光催化降解效率高于NiMnO_4和TiO_2的。

关键词： NiMnO4 TiO2 纳米结构溶胶-凝胶合成光学性能磁学性能光催化单斜结构

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An Efficient Long Short-Term Memory Model for Digital Cross-Language Summarization

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Computers, Materials & Continua 2023年第3期74卷 6389-6409页

作者： Y.C.A.Padmanabha Reddy Shyam Sunder Reddy Kasireddy Nageswara Rao Sirisala ramu Kuchipudi Purnachand Kollapudi Department of CSE B V Raju Institute of TechnologyNarsapurMedakT.S502313India Department of IT Vasavi College of EngineeringHyderabadT.S500089India Department of CSE K.S.R.M College of EngineeringKadapaA.P516003India Department of IT C.B.I.TGandipetHyderabadTelangana500075India

The rise of social networking enables the development of multilingual Internet-accessible digital documents in several languages.The digital document needs to be evaluated physically through the Cross-Language Text Summarization(CLTS)involved in the disparate and generation of the source documents.Cross-language document processing is involved in the generation of documents from disparate language sources toward targeted documents.The digital documents need to be processed with the contextual semantic data with the decoding scheme.This paper presented a multilingual crosslanguage processing of the documents with the abstractive and summarising of the documents.The proposed model is represented as the Hidden Markov Model LSTM Reinforcement Learning(HMMlstmRL).First,the developed model uses the Hidden Markov model for the computation of keywords in the cross-language words for the clustering.In the second stage,bi-directional long-short-term memory networks are used for key word extraction in the cross-language process.Finally,the proposed HMMlstmRL uses the voting concept in reinforcement learning for the identification and extraction of the keywords.The performance of the proposed HMMlstmRL is 2%better than that of the conventional bi-direction LSTM model.

关键词： Text summarization reinforcement learning hidden markov model cross-language multilingual

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Prediction of Cardiovascular Disease Using Machine Learning Technique—A Modern Approach

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Computers, Materials & Continua 2022年第4期71卷 855-869页

作者： Visvasam Devadoss Ambeth Kumar Chetan Swarup Indhumathi Murugan Abhishek Kumar Kamred Udham Singh Teekam Singh ramu Dubey Department of Computer Science&Engineering Panimalar Engineering CollegeAnna UniversityChennai600123India Department of Basic Science College of Science&Theoretical StudiesSaudi Electronic UniversityRiyadh-Male Campus 13316Saudi Arabia Department of Computer Science&IT JAIN(Deemed to be University)Bangalore560069India Department of Computer Science and Information Engineering National Cheng Kung UniversityTainan 701Taiwan Department of Mathematics Graphic Era Hill UniversityDehradun248002India Department of Mathematics J.C.Bose University of Science&TechnologyYMCAFaridabad121006India

Cardio Vascular disease(CVD),involving the heart and blood vessels is one of the most leading causes of death throughout the world.There are several risk factors for causing heart diseases like sedentary lifestyle,unhealthy diet,obesity,diabetes,hypertension,smoking and consumption of alcohol,stress,hereditary factory etc.Predicting cardiovascular disease and improving and treating the risk factors at an early stage are of paramount importance to save the precious life of a human being.At present,the highly stressful life with bad lifestyle activities causes heart disease at a very young age.The main aim of this research is to predict the premature heart disease based on machine learning algorithms.This paper deals with a novel approach using the machine learning algorithm for predicting the cardiovascular disease at the premature stage itself.Support Vector Machine(SVM)is used for segregating the CVD patients based on their symptoms and medical observation.The experimentation results by using the proposed method will facilitate the medical practitioners to provide suitable treatment for the patients on time.A sophisticated model has been developed with the current approach to examine the various stages of CVD and the performance metrics used have given effective and fruitful results as compared to other machine learning techniques.

关键词： Machine learning support vector machine classification cardiovascular disease

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溶胶-凝胶法制备Bi_2MoO_6纳米光催化剂的结构、形貌和光磁特性（英文）

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Transactions of Nonferrous Metals Society of China 2015年第10期25卷 3271-3278页

作者： V.UMAPATHY A.manikandan S.ARUL ANTONY P.ramu P.NEERAJA Research and Development Centre Bharathiar University Caplin Point Laboratories Limited Postgraduate and Research Department of Chemistry Presidency College Department of Chemistry Meenakshi Academy of Higher Education and Research Department of Chemistry Adhiyamaan College of Engineering

采用硝酸铋、钼酸铵、柠檬酸和乙基纤维素为原料,通过溶胶-凝胶法制备钼酸铋(Bi_2MoO_6)纳米颗粒。通过X射线衍射(XRD)、傅里叶变换红外光谱(FT-IR)、高分辨扫描电镜(HRSEM)、能谱分析(EDX)、紫外-可见漫散射光谱(DRS)、光致发光光谱(PL... 详细信息

采用硝酸铋、钼酸铵、柠檬酸和乙基纤维素为原料,通过溶胶-凝胶法制备钼酸铋(Bi_2MoO_6)纳米颗粒。通过X射线衍射(XRD)、傅里叶变换红外光谱(FT-IR)、高分辨扫描电镜(HRSEM)、能谱分析(EDX)、紫外-可见漫散射光谱(DRS)、光致发光光谱(PL)和振动样品磁强计(VSM)等手段对制备的粉末结构、形貌、光磁性和光催化性能进行表征。XRD、FT-IR和EDX结果表明,制备的粉末是具有斜方晶结构的纯单相晶体Bi_2MoO_6。HRSEM图像显示,制备的粉末具有很好的纳米颗粒结构。VSM结果显示制备的纳米颗粒具有超顺磁性。Bi_2MoO_6纳米颗粒的光催化活性实验发现TiO2催化剂的添加提高Bi_2MoO_6纳米颗粒的光催化活性。催化剂Bi_2MoO_6、TiO2和混合氧化物催化剂Bi_2MoO_6-TiO2纳米复合材料对4-氯酚的光催化降解(PCD),发现Bi_2MoO_6-TiO2纳米复合材料的PCD效率比纯Bi_2MoO_6和TiO2催化剂的PCD效率高。

关键词： Bi2MoO6 纳米结构溶胶-凝胶合成法光学性能磁性能光催化剂

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Optimized design of collector topology for offshore wind farm based on ant colony optimization with multiple travelling salesman problem

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Journal of Modern Power Systems and Clean Energy 2018年第6期6卷 1181-1192页

作者： ramu SRIKAKULAPU Vinatha U Department of Electrical and Electronics Engineering National Institute of Technology Karnataka

A layout of the offshore wind farm(OSWF)plays a vital role in its capital cost of installation. One of the major contributions in the installation cost is electrical collector system(ECS). ECS includes: submarine cables,number of wind turbines(WTs), offshore platforms etc. By considering the above mentioned problem having an optimized design of OSWF provides the better feasibility in terms of economic considerations. This paper explains the methodology for optimized designing of ECS. The proposed methodology is based on combined elitist ant colony optimization and multiple travelling salesman problem.The objective is to minimize the length of submarine cable connected between WTs and to minimize the wake loss in the wind farm in order to reduce the cost of cable and cable power loss. The methodology is applied on North Hoyle and Horns Rev OSWFs connected with 30 and 80 WTs respectively and the results are presented.

关键词： Ant colony optimization Offshore wind farm Multiple travelling salesman problem Wake effect Wake loss

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Indications of antibiotic prophylaxis in dental practice-Review

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Asian Pacific Journal of Tropical Biomedicine 2012年第9期2卷 749-754页

作者： C ramu TV Padmanabhan Department of Prosthodontics Faculty of Dental SciencesSri Ramachandra University Professor&Head of Department Of Prosthodontics Faculty Of Dental SciencesSri Ramachandra University

Antibiotics are frequently used in dental practice.Clinical and bacteriological epidemiological factors determine the indications of antibiotics in dentistry.Antibiotics are used in addition to appropriate treatment to aid the host defences in the elimination of remaining bacteria.It is indicated when there is evidence of clinical sign involvement and spread of infection.Antibiotics are prescribed in dental practice for treating odontoge nic infections,non-odontogenic infections,as prophylaxis against focal and local infection.Special care needs to be addressed to patients with organ transplants,poorly controlled diabetes and pregnancy.Antibiotics should be used only as an adjunct to dental treatment and never alone as the first line of care.The present paper reviews the indications of antibiotics in dental practice.

关键词： Antibiotic prophylaxis Odontogenic infection Dental procedure

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