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BK nephropathy in the native kidneys of patients with organ transplants: Clinical spectrum of BK infection

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World Journal of Transplantation 2016年第3期6卷 472-504页

作者： Darlene Vigil Nikifor K Konstantinov Marc Barry Antonia M Harford Karen S Servilla Young Ho Kim Yijuan Sun kavitha ganta Antonios H Tzamaloukas Nephrology Section Medicine Service Raymond G. Murphy VA Medical Center and Department of Medicine University of New Mexico School of Medicine Department of Medicine University of Minnesota School of Medicine Department of Pathology University of New Mexico School of Medicine Division of Nephrology Department of Medicine University of New Mexico School of Medicine Division of Nephrology University of North Carolina School of Medicine

Nephropathy secondary to BK virus, a member of the Papoviridae family of viruses, has been recognized for some time as an important cause of allograft dysfunction in renal transplant recipients. In recent times, BK nephropathy(BKN) of the native kidneys has being increasingly recognized as a cause of chronic kidney disease in patients with solid organ transplants, bone marrow transplants and in patients with other clinical entities associated with immunosuppression. In such patients renal dysfunction is often attributed to other factors including nephrotoxicity of medications used to prevent rejection of the transplanted organs. Renal biopsy is required for the diagnosis of BKN. Quantitation of the BK viral load in blood and urine are surrogate diagnostic methods. The treatment of BKN is based on reduction of the immunosuppressive medications. Several compounds have shown antiviral activity, but have not consistently shown to have beneficial effects in BKN. In addition to BKN, BK viral infection can cause severe urinary bladder cystitis, ureteritis and urinary tract obstruction as well as manifestations in other organ systems including the central nervous system, the respiratory system, the gastrointestinal system and the hematopoietic system. BK viral infection has also been implicated in tumorigenesis. The spectrum of clinical manifestations from BK infection and infection from other members of the Papoviridae family is widening. Prevention and treatment of BK infection and infections from other Papovaviruses are subjects of intense research.

关键词： BK viral infection BK nephropathy Cardiac transplant Bone marrow transplant Liver transplant Pancreatic transplant Lung transplant

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近海三角张力腿平台钢筋束假定失效研究

哈尔滨工程大学学报（英文版） 2024年第1期23卷 182-200页

作者： Srinivasan Chandrasekaran ganta Shanmukha Rao Department of Ocean Engineering Indian Institute of TechnologyMadras 600036India

Offshore triceratops is one of the successful manifestations of the form-dominant design approaches deployable in ultra-deepwater oil and gas *** deck’s geometric shape and partial isolation from the legs counteract lateral *** are position-restrained to the sea bed by taut-moored tendons,while ball joints partially isolate the deck from the buoyant ***,compliance in the horizontal plane imposes large displacements,intuiting the necessity to examine tendon *** analysis of triceratops under wave and wind combined action is carried out under the postulated conditions of a tendon failure.10-yr,100-yr,and 1000-yr post-Katrina hurricane conditions are assumed as loading to the *** confirm a marginal increase in the natural periods of stiff degrees of freedom even under postulated failure conditions,ensuring good adaptability to ultra-deep *** postulated failure,the tension of adjacent tendons varies significantly,causing a shift to the mean position of the *** life is significantly reduced under the postulated failure of tendons,making the platform free-floating without affecting its *** also show that the pitch response of the deck is a clear manifestation of the postulated failure,which is otherwise absent due to the presence of ball *** attempted study deliberates on the fatigue life of tendons,assessing the platform’s suitability to ultra-deep waters and identifying the vulnerable legs for the chosen load combinations.

关键词： Ball joints Tendons Buoyant legs Fatigue life Irregular waves Postulated failure

A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

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Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha Krishnan Muthunambu Senthil Prabakaran Balasubramanian Prabhu Kavin Kishore Senthil Siruvangur kavitha Chinnadurai Jehad Ali Department of Computer Applications Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India Department of AI Convergence Network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural Networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

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Big Data Mining and Analytics 2024年第2期7卷 399-418页

作者： Sankaramoorthy Muthubalaji Naresh Kumar Muniyaraj Sarvade Pedda Venkata Subba Rao kavitha Thandapani Pasupuleti Rama Mohan Thangam Somasundaram Yousef Farhaoui Department of Electrical and Electronics Engineering CMR College of Engineering&TechnologyHyderabad 501401India Department of Electronics and Communication Engineering Vardhaman College of Engineering KacharamShamshabad 501218India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and TechnologyHyderabad 501301India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India Department of Electrical and Electronics Engineering Bharat Institute of Engineering and TechnologyHyderabad 501510India Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidhyapeethamBengaluru 560035India T-IDMS Department of Computer ScienceFaculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco

Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies,along with data processing and advanced *** main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information *** original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI ***,an AdaBelief Exponential Feature Selection(AEFS)technique is used to efficiently handle the input huge datasets from the smart grid for boosting ***,a Kernel based Extreme Neural Network(KENN)technique is used to anticipate security vulnerabilities more *** Polar Bear Optimization(PBO)algorithm is used to efficiently determine the parameters for the estimate of radial basis ***,several types of smart grid network datasets are employed during analysis in order to examine the outcomes and efficiency of the proposed AdaBelief Exponential Feature Selection-Kernel based Extreme Neural Network(AEFS-KENN)big data security *** results reveal that the accuracy of proposed AEFS-KENN is increased up to 99.5%with precision and AUC of 99%for all smart grid big datasets used in this study.

关键词： smart grid Machine Learning(ML) big data analytics AdaBelief Exponential Feature Selection(AEFS) Polar Bear Optimization(PBO) Kernel Extreme Neural Network(KENN)

Fuzzy Difference Equations in Diagnoses of Glaucoma from Retinal Images Using Deep Learning

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 801-816页

作者： D.Dorathy Prema kavitha L.Francis Raj Sandeep Kautish Abdulaziz S.Almazyad Karam M.Sallam Ali Wagdy Mohamed Department of Mathematics Voorhees CollegeVelloreTamil NaduIndia Chandigarh Group of Colleges JhanjeriMohaliPunjabIndia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Science and Technology School of IT and SystemsUniversity of CanberraCanberraAustralia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

The intuitive fuzzy set has found important application in decision-making and machine *** enrich and utilize the intuitive fuzzy set,this study designed and developed a deep neural network-based glaucoma eye detection using fuzzy difference equations in the domain where the retinal images *** image detections are categorized as normal eye recognition,suspected glaucomatous eye recognition,and glaucomatous eye *** degrees associated with weighted values are calculated to determine the level of concentration between the fuzzy partition and the retinal *** proposed model was used to diagnose glaucoma using retinal images and involved utilizing the Convolutional Neural Network(CNN)and deep learning to identify the fuzzy weighted regularization between *** methodology was used to clarify the input images and make them adequate for the process of glaucoma *** objective of this study was to propose a novel approach to the early diagnosis of glaucoma using the Fuzzy Expert System(FES)and Fuzzy differential equation(FDE).The intensities of the different regions in the images and their respective peak levels were *** the peak regions were identified,the recurrence relationships among those peaks were then *** partitioning was done due to varying degrees of similar and dissimilar concentrations in the *** and dissimilar concentration levels and spatial frequency generated a threshold image from the combined fuzzy matrix and *** distinguished between a normal and abnormal eye condition,thus detecting patients with glaucomatous eyes.

关键词： Convolutional Neural Network(CNN) glaucomatous eyes fuzzy difference equation intuitive fuzzy sets image segmentation retinal images

Downwash airflow distribution pattern of hexa-copter unmanned aerial vehicles

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 24-34页

作者： Dengeru Yallappa Ramasamy kavitha Allimuthu Surendrakumar Kannan Balaji Balakrishnan Suthakar Ayyasamy Paramasivam Mohan Kumar Yathendranaik Ravi Narayananaik Ashoka Kumar Kavan Department of Farm Machinery and Power Engineering Agricultural Engineering College and Research InstituteTamil Nadu Agricultural UniversityCoimbatore

In recent times,the use of vertical take-off and landing(VTOL)multi-rotor Unmanned Aerial Vehicle(UAVs)for spraying chemical pesticides against weeds and pests has recently become *** current aerial spray application research is primarily focused on examining the influence of UAV spraying parameters such as flight height,travel speed,rotor configuration,droplet size,payload and wind *** downwash airflow velocity generated by the UAV rotor propeller has a significant impact on the droplet deposition process.A test rig was developed to measure the downwash airflow pattern generated by the rotor propeller of a *** this investigation,a six-rotor electric autonomous UAV sprayer was used to investigate the parameters and distribution laws of downwash airflow *** downwash airflow velocity was measured using portable anemometers mounted on the test rig at radial positions viz.,0 m,0.5 m,1 m,1.5 m and 2 m,perpendicular to(X)and parallel to the UAV’s flight direction(Y).The experiment was conducted at three levels of hover height,viz.,1 m,2 m and 3 m(Z)and three levels of payload,viz.,0 kg,5 kg,and 10 *** special downwash airflow distribution pattern was analysed using the Python programming language(Version 3.7).Results show that the downwash airflow velocity generated by the radial position of the UAV rotor is evenly distributed on the rotating loop and the standard deviation of the downwash airflow velocity is less than 0.5 m/*** maximum downwash airflow velocity of 13.8 m/s was observed below the rotor at 10 kg payload capacity,1 m hover height(Z),and 0.5 m in the *** minimum downwash wind field of 0.3 m/s was observed at 0 kg pay load capacity,1 m height,and 2 m in the *** downwash airflow velocity along each position in the radial direction of the rotor increases initially and then *** downwash airflow distribution results helps in mounting of spray nozzle configuration to drone sprayer which helps to

关键词： downwash air payload rotor propeller flight height distribution analysis flight direction

Computational Fluid Dynamics Study of a Compound Flow Field for Proton Exchange Membrane Fuel Cell(PEMFC) Performance Enhancement

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Journal of Thermal Science 2022年第6期31卷 2374-2384页

作者： Venkateswarlu VELISALA Gandhi PULLAGURA Naveen Kumar CHINNAM Raju ganta Automobile Engineering Section Damacharla Anjaneyulu Government PolytechnicOngole 523002Andhra PradeshIndia GITAM Institute of Technology Visakhapatnam 530045Andhra PradeshIndia Vishnu Institute of Technology Bhimavaram 534202Andhra PradeshIndia BVC Engineering College Odalarevu 533210Andhra PradeshIndia

The aim of the present work is to evaluate proton exchange membrane(PEM) fuel cell performance with a modified serpentine flow field with right angle turn by numerical modeling. A 3-D PEM fuel cell model of size 50 cm^(2) active area is developed. A conventional serpentine flow field is modified and the same is considered for the supply of reactants. Computational fluid dynamics(CFD) based simulations were conducted to analyse the pressure drop, distribution of reactants(H_(2) and O_(2)), liquid water activity, current flux density and water content in the membrane. From the simulation results, polarization curve is drawn to validate the literature data of PEMFC with the conventional serpentine flow field. Comparison of simulated polarization curve with literature data revealed that modified serpentine flow field performance is better than conventional serpentine flow field as it offers better water exclusion and uniform sharing of reactants. From this study, it is concluded that model of flow field pattern influences the functioning of fuel cell and utmost care must take while selecting a pattern for flow field of PEM fuel cell.

关键词： PEM fuel cell CFD current density water removal modified serpentine flow field membrane water content

Numerical Investigation of Sound Generation due to Laminar Flow Past Elliptic Cylinders

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Numerical Mathematics(Theory,Methods and Applications) 2020年第1期13卷 27-62页

作者： Bikash Mahato Naveen ganta Yogesh G.Bhumkar Scientific Computing Laboratory School of Mechanical SciencesIndian Institute of Technology BhubaneswarOdishaIndia

Numerical investigation of sound generation due to unsteady laminar flow past elliptic cylinders has been carried out using direct numerical simulation(DNS)approach at a free-stream Mach number of *** of aspect ratio(0.6≤AR≤1.0)and Reynolds number(100≤Re≤160)on the characteris-tics of radiated sound fields are ***-dimensional compressible fluid flow equations are solved on a refined grid using high resolution dispersion relation pre-serving(DRP)*** present DNS data,equivalent noise sources as given by various acoustic analogies are *** and frequencies associated with these noise sources are further related to characteristics of disturbance pressure *** pressure fields are intensified with increase in Reynolds number and aspect ***,radiated sound power increases with increase in Reynolds number and aspect *** various cases studied here,minimum and max-imum values of radiated sound power are found at Re=120&AR=0.6 and Re=160&AR=1.0,*** patterns show that the generated sound fields are dominated by the lift dipole for all ***,proper orthogonal decomposition(POD)technique has been implemented for decomposing distur-bance pressure *** POD modes associated with the lift and the drag dipoles have been *** analyses also clearly display that the radiated sound fields are dominated by the lift dipole ***,acoustic and hydrodynamic modes obtained using Doak’s decomposition method have confirmed the patterns of radiated sound field intensities.

关键词： Computational aeroacoustics acoustic analogies aeolian tones proper orthogonal decomposition Doak’s decomposition

Factors influencing adoption of soil and water conservation practices in the northwest Ethiopian highlands

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International Soil and Water Conservation Research 2020年第1期8卷 80-89页

作者： Agere Belachew Wuletaw Mekuria kavitha Nachimuthu Department of Rural Development and Agricultural Extension University of GondarP.O.Box 196GondarEthiopia RD National Arts and Science(Co-education)College ErodeTamilnaduIndia

Soil erosion has long been a problem in the Ethiopian highlands in general and Dembecha district in particular. The objective of this study was to identify factors influencing adoption of soil and water conservation practices. Both quantitative and qualitative data were collected from primary and sec-ondary sources. The primary data were collected from respondent samples and key informants through interview and personal observation. The secondary data were collected from sources such as books, journals, statistical reports and official documents. A multistage sampling technique was applied to select sample households. Sample sizes of 150 households were selected using simple random sampling. Both descriptive statistics and a multivariate probit econometric model were employed to analyze the data. The model results revealed that the likelihood of decisions to adopt soil bund, stone bund, check dam and strip cropping were 74, 56, 29 and 56%respectively. The joint probability of adopting the selected soil and water conservation practices was 14.2%. The model results also confirmed that age, sex, education level, household size, livestock holding, land size, access to credit, access to extension service and training were significant factors that affected the adoption of soil and water conservation practices in the study area. Based on our findings, the study suggests that the government and stakeholders should focus on strengthening the provision of formal and non-formal training and facilitate an effective extension service.

关键词： Adoption Multivariate probit model Soil degradation Strip cropping