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Acta Metallurgica Sinica(English Letters) 2016年第1期29卷 17-27页

作者： Ramakrishna Dadigala Bhagavanth Reddy Gangapuram rajkumar bandi Ayodhya Dasari Veerabhadram Guttena Department of Chemistry Osmania University

Sunlight-driven C-TiO2/FeTiO3 composites were synthesized with different weight fractions of FeTiO3. The as-prepared samples were characterized by UV-Visible diffuse reflectance spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction analysis, transmission electron microscopy, scanning electron microscopy, energy-dis- persive X-ray spectroscopy, and photoluminescence. Under sunlight irradiation, the C-TiO2/FeTiO3 photocatalysts degraded methyl orange （MO） efficiently and displayed much higher photocatalytic activity than that of pure FeTiO3 or carbon-doped titanium dioxide （C-TiO2）, and the C-TiOE/FeTiO3 photocatalyst with 10 wt% of FeTiO3 exhibited the highest photocatalytic activity. The enhancement of photocatalytic activity was mainly ascribed to the formation of a heterojunction between C-TiO2 and FeTiO3, which facilitated the transfer and separation of photogenerated electron-hole pairs. The quenching effects of different scavengers demonstrated that the reactive superoxide radicals （02-） and hydroxyl radicals （OH） played a major role in the MO degradation. The possible photocatalytic mechanism is discussed on the basis of the band structures of C-TiO2 and FeTiO3. To further enhance the photocatalytic efficiency, double-heterojunctioned CQD/C-TiO2/FeTiO3 composite was prepared by loading carbon quantum dots onto the C-TiO2/FeTiO3 surface.

关键词： C-TiO2 FeTiO3 CQD Composites Sunlight photocatalytic activity

Hepatocardiorenal syndrome in liver cirrhosis:Recognition of a new entity?

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World Journal of Gastroenterology 2024年第2期30卷 128-136页

作者： Henry H L Wu Amina Rakisheva Arvind Ponnusamy rajkumar Chinnadurai Renal Research Kolling Institute of Medical ResearchRoyal North Shore Hospital&The University of SydneySt.Leonards(Sydney)2065New South WalesAustralia Department of Cardiology City Cardiological CenterAlmaty 050000Kazakhstan Department of Renal Medicine Royal Preston HospitalPreston PR29HTUnited Kingdom Donal O’Donoghue Renal Research Centre&Department of Renal Medicine Northern Care Alliance National Health Service Foundation TrustSalford M68HDUnited Kingdom

Emerging evidence and perspectives have pointed towards the heart playing an important role in hepatorenal syndrome(HRS),outside of conventional understanding that liver cirrhosis is traditionally considered the sole origin of a cascade of pathophysiological mechanisms directly affecting the kidneys in this *** the absence of established heart disease,cirrhotic cardiomyopathy may occur more frequently in those with liver cirrhosis and kidney *** is a specific form of cardiac dysfunction characterized by blunted contractile responsiveness to stress stimuli and altered diastolic relaxation with electrophysiological *** the clinical description of these potential cardiac-related complications of the liver,the role of the heart has traditionally been an overlooked aspect of circulatory dysfunction in *** from a physiological sense,temporality(prior onset)of cardiorenal interactions in HRS and positive effects stemming from portosystemic shunting demonstrated an important role of the heart in the development and progression of kidney dysfunction in cirrhotic *** this review,we discuss current concepts surrounding how the heart may influence the development and progression of HRS,and the role of systemic inflammation and endothelial dysfunction causing circulatory dysfunction within this *** temporality of heart and kidney dysfunction in HRS will be *** a subgroup of patients who receive portosystemic shunting,the dynamics of cardiorenal interactions following treatment is *** research to determine the unknowns in this topic is anticipated,hopefully to further clarify the intricacies surrounding the liver-heart-kidney connection and improve strategies for management.

关键词： Hepatorenal syndrome Cardiorenal syndrome Cirrhosis Cardiac dysfunction Circulatory dysfunction

Coordination of networking and computing: toward new information infrastructure and new services mode

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Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 629-632页

作者： Xiaoyun WANG Tao SUN Yong CUI rajkumar BUYYA Deke GUO Qun HUANG Hassnaa MOUSTAFA Chen TIAN Shangguang WANG China Mobile Communications Corporation Beijing 100032China China Mobile Research Institute Beijing 100053China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China CLOUDS Lab School of Computing and Information SystemsUniversity of MelbourneMelbourneVIC 3010Australia National Key Laboratory of Information Systems Engineering National University of Defense TechnologyChangsha 410073China School of Computer Science Peking UniversityBeijing 100871China Intel Corporation Santa ClaraCA 95054USA State Key Laboratory for Novel Sofiware Technology Nanjing UniversityNanjing 210023China State Key Laboratory of Networking and Switching Technology Bejing University of Posts and TelecommunicationsBeijing 100876China

Computing,serving as the cornerstone of information processing,plays a pivotal role in the digital service ***"network"and"computing,"responsible for information transmission and processing respectively,traditionally belong to different stakeholders and have evolved ***,the recent trend toward the coordination and integration of computing and networks has garnered significant attention from both industry and *** such as"computility network"and"computing force network"have emerged,and the International Telecommunication Union-Telecommunication Standardization(ITU-T)has initiated efforts to develop standards for the coordination of networking and computing(CNC),focusing on the architecture and framework.

关键词： computing services network

Exploring the Reasons for Selfie-Taking and Selfie-Posting on Social Media with Its Effect on Psychological and Social Lives:A Study among Indian Youths

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International Journal of Mental Health Promotion 2024年第5期26卷 389-398页

作者： Divya P.Vijayan Tokani Ghuhato Eslavath rajkumar Allen Joshua George Romate John John Abraham Department of Psychology Central University of KarnatakaKalaburagi585367India Department of Liberal Arts Indian Institute of Technology BhilaiChhattisgarh491002India Liberal Arts&Sciences Indian Institute of Management RanchiJharkhand834001India Department of Family Medicine/Geriatrics St.John’s National Academy of Health SciencesBangalore560034India

‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no *** technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short *** light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 *** data were collected through semi-structured interviews and analysed using thematic ***-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.

关键词： Selfie social media social networking sites obsessive selfie-taking Indian youth

Rare Case of Large Anterior Meningocele Associated with Uterine Didelphys

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Open Journal of Modern Neurosurgery 2024年第2期14卷 104-107页

作者： Joseph Maalouly Matt Wilson Sanjay Adusumilli Vijidha rajkumar Shanu Gambhir Department of Neurosurgery Norwest Private Hospital Bella Vista Australia Department of Obstetrics and Gynecology Norwest Private Hospital Bella Vista Australia Department of General Surgery Norwest Private Hospital Bella Vista Australia

We report a 27-year-old female who presented with abdominal distension, saddle anesthesia, and lower back pain. CT and MRI of the abdomen/spine were performed which showed a large anterior sacral meningocele occupying most of the pelvic and abdominal cavity and displacement of their respective contents. Anterior approach was chosen, uterine didelphys was identified and mobilized, meningocele identified and gentle drainage with subsequent resection of the cyst wall and watertight closure was achieved. Subsequent MRI demonstrated resolution of most the sacral meningocele. Patient symptoms improved and are doing well.

关键词： Sacral Agenesis Curarino Triad Large Meningocele

Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.Balamurugan R.rajkumar S.Leelavathy Raju Kannadasan Mohd Anul Haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

An Evolutionary Normalization Algorithm for Signed Floating-Point Multiply-Accumulate Operation

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Computers, Materials & Continua 2022年第7期72卷 481-495页

作者： rajkumar Sarma Cherry Bhargava Ketan Kotecha Department of Electrical&Electronics Engineering Faculty of Engineering&TechnologyJain(Deemed-to-be-University)Ramanagar562112KarnatakaIndia Symbiosis Institute of Technology Symbiosis International(Deemed University)LavalePune412115India Symbiosis Centre for Applied Artificial Intelligence Symbiosis International(Deemed University)LavalePune412115India

In the era of digital signal processing,like graphics and computation systems,multiplication-accumulation is one of the prime operations.A MAC unit is a vital component of a digital system,like different Fast Fourier Transform(FFT)algorithms,convolution,image processing algorithms,*** the domain of digital signal processing,the use of normalization architecture is very *** main objective of using normalization is to performcomparison and shift *** this research paper,an evolutionary approach for designing an optimized normalization algorithm is proposed using basic logical blocks such as Multiplexer,Adder *** proposed normalization algorithm is further used in designing an 8×8 bit Signed Floating-Point Multiply-Accumulate(SFMAC)*** the SFMAC can accept an 8-bit significand and a 3-bit exponent,the input to the said architecture can be somewhere between−(7.96872)_(10) to+(7.96872)_(10).The proposed architecture is designed and implemented using the Cadence Virtuoso using 90 and 130 nm technologies(in Generic Process Design Kit(GPDK)and Taiwan Semiconductor Manufacturing Company(TSMC),respectively).To reduce the power consumption of the proposed normalization architecture,techniques such as“block enabling”and“clock gating”are used *** to the analysis done on Cadence,the proposed architecture uses the least amount of power compared to its current predecessors.

关键词： Data normalization cadence virtuoso signed-floating-point MAC evolutionary optimized algorithm block enabling clock gating

Diabetic Retinopathy Diagnosis Using ResNet with Fuzzy Rough C-Means Clustering

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Computer Systems Science & Engineering 2022年第8期42卷 509-521页

作者： R.S.rajkumar A.Grace Selvarani Sri Ramakrishna Engineering College Coimbatore641022India

Diabetic Retinopathy(DR)is a vision disease due to the long-term prevalenceof Diabetes *** affects the retina of the eye and causes severedamage to the *** not treated on time it may lead to permanent vision lossin diabetic ***’s development in science has no medication to cureDiabetic ***,if diagnosed at an early stage it can be controlledand permanent vision loss can be *** to the diabetic population,experts to diagnose Diabetic Retinopathy are very less in particular to local *** an automatic computer-aided diagnosis for DR detection is *** paper,we propose an unsupervised clustering technique to automatically clusterthe DR into one of its five development *** deep learning based unsupervisedclustering is made to improve itself with the help of fuzzy rough c-meansclustering where cluster centers are updated by fuzzy rough c-means clusteringalgorithm during the forward pass and the deep learning model representationsare updated by Stochastic Gradient Descent during the backward pass of *** proposed method was implemented using python and the results were takenon DGX server with Tesla V100 GPU *** experimental result on the publicallyavailable Kaggle dataset shows an overall accuracy of 88.7%.The proposedmodel improves the accuracy of DR diagnosis compared to the existingunsupervised algorithms like k-means,FCM,auto-encoder,and FRCM withalexnet.

关键词： Diabetic retinopathy detection diabetic retinopathy diagnosis fuzzy rough c-means clustering unsupervised CNN clustering

Secured Cloud Communication Using Lightweight Hash Authentication with PUF

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Computer Systems Science & Engineering 2022年第10期43卷 233-243页

作者： R.Padmavathy M.Newlin rajkumar Department of Computer Science and Engineering Anna University Regional CenterCoimbatore641046India

Internet-of-Things(IoT)is an awaited technology in real-world applications to process daily tasks using intelligent *** main process of data in IoT involves communication,integration,and coordination with other real-world *** security of transferred,stored,and processed data in IoT is not ensured in many ***-enabled smart devices are widely used among populations for all types of applications,thus increasing the popularity of IoT among widely used server *** grid is used in this article with IoT to manage large data.A smart grid is a collection of numerous users in the network with the fastest response *** article aims to provide high authentication to the smart grid,which constitutes secure communication in cloud-based *** IoT devices are deployed openly in all *** open-access is vulnerable toward cloning *** is a significant process that provides strength while *** security of the cloud and IoT must be computationally high.A lightweight authentication using hashing technique is proposed considering the aforementioned *** main factor of the authentication involves physically unclonable functions,which are utilized in improving the performance of the *** proposed approach is evaluated with the existing *** show that the performance of the proposed algorithm provides high robust security.

关键词： Cloud IoT smart grid PUF lightweight authentication

Recent development in upconversion nanoparticles and their application in optogenetics:A review

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Journal of Rare Earths 2022年第6期40卷 847-861,I0001页

作者： Madhumita Patel Maninder Meenu Jitender Kumar Pandey Pawan Kumar rajkumar Patel Department of Chemistry and Nano Science Ewha Womans UniversitySeodaemun-guSeoul120-750South Korea College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China School of Basic and Applied Sciences Adamas UniversityKolkata700126India Institut National de la Recherche Scientifique-Centreénergie Materiaux Télecommunications(INRS-EMT) VarennesQCCanada Department of Chemistry and Biochemistry University of Oklahoma101 Stephenson ParkwayNormanOK73019United States Energy&Environmental Science and Engineering(EESE) Integrated Science and Engineering Division(ISED)Underwood International CollegeYonsei University85 Songdogwahak-roYeonsu-guIncheon21983South Korea

Ion channels present in the plasma membrane are responsible for integration and propagation of electric signals,which transmit information in nerve *** of these ion channels leads to many neurological ***,optogenetic technology has gained a lot of attention for the manipulation of neuronal *** is a neuromodulation approach that has been developed to control neuronal functions and activities using *** lanthanide-doped upconversion nanoparticles(UCNPs)absorb low energy photons in near-infrared(NIR) window and emit high energy photons in the visible spectrum region via nonlinear *** the last few decades,UCNPs have gained great attention in various bio-medical applications such as bio-imaging,drug delivery and *** near-infrared illumination is considered more suitable for optogenetics application,due to its lower degree of light attenuation and higher tissue penetration compared to visible ***,UCNPs have been considered as the new promising candidates for optogenetics *** nanoparticlemediated optogenetic systems provide a great opportunity to manipulate the ion channel in deep ***,we summarize the upconversion photoluminescence in lanthanide doped nanomaterials and its mechanisms and several approaches adopted to tune emission color or enhance upconversion *** advances of lanthanide-doped UCNPs design strategy and their mechanism are ***,we discuss the neural circuitry modulation using upconversion nanoparticles mediated ***,the future perspectives towards optogenetics are also included.

关键词： Lanthanide Upconversion Optogenetics Nanoparticles Neuronal modulation Rare earths