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Robust multifocus deep neural network for progression prediction on patient trajectory data

International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 589-598页

作者： k.arunkumar S.Vasundra Department of CSE JNTUAAnanthapuramIndia Department of CSE JNTUACEAAnanthapuramIndia

Purpose-Patient treatment trajectory data are used to predict the outcome of the treatment to particular disease that has been carried out in the *** order to determine the evolving disease on the patient and changes in the health due to treatment has not considered existing *** deep learning models to trajectory data mining can be employed to identify disease prediction with high accuracy and less computation ***/methodology/approach-Multifocus deep neural network classifiers has been utilized to detect the novel disease class and comorbidity class to the changes in the genome pattern of the patient trajectory data can be identified on the layers of the *** is employed to learn extracted feature set with activation and weight function and then merged on many aspects to classify the undetermined sequence of diseases as a new *** performance of disease progression learning progress utilizes the precision of the constituent classifiers,which usually has larger generalization benefits than those optimized ***-Deep learning architecture uses weight function,bias function on input layers and max *** of the input layer has applied to hidden layer to generate the multifocus characteristics of the disease,and multifocus characterized disease is processed in activation function using ReLu function along hyper parameter tuning which produces the effective outcome in the output layer of a fully connected *** results have proved using cross validation that proposed model outperforms methodologies in terms of computation time and ***/value-Proposed evolving classifier represented as a robust architecture on using objective function to map the data sequence into a class distribution of the evolving disease class to the patient ***,the generative output layer of the proposed model produces the progression outcome of the disease of the particular pa

关键词： Patient trajectory data Deep learning representatives Disease evolution Unstructured hierarchical data Cluster reconstruction error

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Proton pump inhibitors and all-cause mortality risk among cancer patients

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World Journal of Clinical Oncology 2025年第1期16卷 34-42页

作者： arunkumar krishnan Carolin Victoria Schneider Declan Walsh Department of Supportive Oncology Atrium Health Levine CancerCharlotteNC 28204United States Department of Medicine Section of Hematology and OncologyWake Forest University School of MedicineWinston-SalemNC 27101United States Department of Medicine Ⅲ GastroenterologyMetabolic Diseasesand Intensive CareUniversity Hospital RWTH AachenAachen 52074Germany

BACkGROUND Proton pump inhibitors(PPIs)are widely used,including among cancer patients,to manage gastroesophageal reflux and other gastric acid-related *** evidence suggests associations between long-term PPI use and higher risks for various adverse health outcomes,including greater *** To investigate the association between PPI use and all-cause mortality among cancer patients by a comprehensive analysis after adjustment for various confounders and a robust methodological approach to minimize *** This retrospective cohort study used data from the TriNetX research network,with electronic health records from multiple healthcare *** study employed a new-user,active comparator design,which compared newly treated PPI users with non-users and newly treated histamine2 receptor antagonists(H2RA)users among adult cancer *** prescribed PPIs(esomeprazole,lansoprazole,omeprazole,pantoprazole,or rabeprazole)users were compared to non-users or newly prescribed H2RAs(cimetidine,famotidine,nizatidine,or ranitidine)*** primary outcome was all-cause *** patient in the main group was matched to a patient in the control group using 1:1 propensity score matching to reduce confounding *** Cox regression models were used to estimate hazard ratios(HRs)and 95% confidence interval(CI).RESULTS During the follow-up period(median 5.4±1.8 years for PPI users and 6.5±1.0 years for non-users),PPI users demonstrated a higher all-cause mortality rate than non-users after 1 year,2 years,and at the end of follow up(HRs:2.34-2.72).Compared with H2RA users,PPI users demonstrated a higher rate of all-cause mortality HR:1.51(95%CI:1.41-1.69).Similar results were observed across sensitivity analyses by excluding deaths from the first 9 months and 1-year post-exposure,confirming the robustness of these *** a sensitivity analysis,we analyzed all-cause mortality outcomes between former PPI users and individual

关键词： All-cause mortality Cancer Histamine-2 receptor antagonists Mortality Malignancy Proton pump inhibitors Carcinoma Outcome

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Sensitivity of digital elevation models:The scenario from two tropical mountain river basins of the Western Ghats,India

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Geoscience Frontiers 2014年第6期5卷 893-909页

作者： Jobin Thomas Sabu Joseph k.P.Thrivikramji k.S.arunkumar Inter University Centre for Geospatial Information Science and Technology University of KeralaThiruvananthapuramKeralaIndia Department of Environmental Sciences University of KeralaThiruvananthapuramKeralaIndia Department of Geology University of KeralaThiruvananthapuramKeralaIndia Department of Geology MES CollegePonnaniMalappuramKeralaIndia

The paper evaluates sensitivity of various spaceborne digital elevation models （DEMs）, viz., Advanced Spaceborne Thermal Emission and Reflection Radiometer （ASTER）, Shuttle Radar Topography Mapping Mission （SRTM） and Global Multi-resolution Terrain Elevation Data 2010 （GMTED）, in comparison with the DEM （TOPO） derived from contour data of 20 m interval of Survey of India topographic sheets of 1 ： 50,000 scale. Several topographic attributes, such as elevation （above mean sea level）, relative relief, slope, aspect, curvature, slope-length and -steepness （LS） factor, terrain ruggedness index （TRI）, topo- graphic wetness index （TWI）, hypsometric integral （lhyp） and drainage network attributes （stream number and stream length） of two tropical mountain river basins, viz. Muthirapuzha River Basin and Pambar River Basin are compared to evaluate the variations. Though the basins are comparable in extent, they differ in respect of terrain characteristics and climate. The result.,; suggest that ASTER and SRTM provide equally reliable representation of topography portrayed by TOP（） and the topographic attributes extracted from the spaceborne DEMs are in agreement with those derived from TOPO. Despite the coarser resolution, SRTM shows relatively higher vertical accuracy （RMSE -- 23 and 20 m respectively in MRB and PRB） compared to ASTER （RMSE - 33 and 24 m） and GMTED （RMSE - 59 and 48 m）. Vertical accuracy of all the spaceborne DEMs is influenced by relief of the terrain as well as type of vegetation. Further, GMTED shows significant deviation for most of the attributes, indicating its inability for mountain-river-basin-scale studies.

关键词： DEM ASTER SRTM GMTEDTropical mountain river basins Western Ghats

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Tribological and vibrational characteristics of AISI 316L tested at elevated temperature and 600 Torr vacuum

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Defence Technology（防务技术） 2019年第1期15卷 58-64页

作者： k.Arul Raj M.P.arunkumar P.k.C.kanigalpula M.karthikeyan Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Department of Mechanical Engineering RajaRajeswari College of Engineering

Friction and wear studies enable the investigation of material interaction between two sliding surfaces in contact. In the present investigation, the coefficient of friction and the wear resistance of AISI 316 L parts were studied under self-mating, dry sliding conditions using a pin-on-disc type configuration. The experiments were conducted at vacuum based high temperature pin-on-disc tribometer. The 4 mm diameter pin and 180 mm diameter disc were subjected to varying sliding velocities(0.5, 0.75 and 1.5 m/s) and were operated in 200, 400, 500 and 580 ℃ temperature at 600 Torr vacuum. The variation of specific wear rates with sliding velocities and different environmental conditions was studied. The morphology of sliding/rubbed surfaces was observed using Scanning Electron Microscope. In summary, it was found that a severe to mild wear transition occurred in sliding under operating conditions. Increased wear rates have been observed for 500 and 580 ℃ with increasing sliding velocity. Adhesive wear has been found to be predominant at 500 and 580 ℃ where as de-lamination has been observed at ambient temperature,200 and 400 ℃ in vacuum. The present paper also carried out the numerical analysis of the vibration behavior of AISI 316 L under thermal environment. Results revealed that at high temperature vibrational amplitude and natural frequency is significantly reduced. This can be attributed to the reduction in stiffness of the material at elevated temperatures. This high amplitude vibration during service can lead to high wear rate.

关键词： Pin-on-disc Sliding wear Vacuum De-lamination Scanning electron microscope Vibration

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Autism Spectrum Disorder Diagnosis Using Ensemble ML and Max Voting Techniques

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Computer Systems Science & Engineering 2022年第4期41卷 389-404页

作者： A.arunkumar D.Surendran Computer science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India

Difﬁculty in communicating and interacting with other people are mainly due to the neurological disorder called autism spectrum disorder(ASD)*** diseases can affect the nerves at any stage of the human being in childhood,adolescence,and *** is known as a behavioral disease due to the appearances of symptoms over theﬁrst two years that continue until *** of the studies prove that the early detection of ASD helps improve the behavioral characteristics of patients with *** detection of ASD is a very challenging task among various *** learning(ML)algorithms still act very intelligent by learning the complex data and pre-dicting quality *** this paper,ensemble ML techniques for the early detec-tion of ASD are *** this detection,the dataset isﬁrst processed using three ML algorithms such as sequential minimal optimization with support vector machine,kohonen self-organizing neural network,and random forest *** prediction results of these ML algorithms(ensemble)further use the bagging concept called max voting to predict theﬁnal *** accuracy,sensitivity,and speciﬁcity of the proposed system are calculated using confusion *** pro-posed ensemble technique performs better than state-of-the art ML algorithms.

关键词： SVM autism disorder kohonen SONN max voting ensemble machine learning technique random forest SMO–SVM bootstrap gradient boosting

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Secure and Light Weight Elliptic Curve Cipher Suites in SSL/TLS

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Computer Systems Science & Engineering 2022年第1期40卷 179-190页

作者： B.arunkumar G.kousalya Coimbatore Institute of Technology Coimbatore641014India

In the current circumstance,e-commerce through an online banking system plays a significant *** may either buy goods from E-Commerce websites or use online banking to move money to other *** a user participates in these types of behaviors,their sensitive information is sent to an untrust-worthy *** a consequence,when transmitting data from an internal browser to an external E-commerce web server using the cryptographic protocol SSL/TLS,the E-commerce web server ensures the security of the user’s *** user should be pleased with the confidentiality,authentication,and authenticity properties of the SSL/TLS on both the user’s web browser and the remote E-commerce web server.E-Commerce web servers should choose the best SSL/TLS cipher suites for negotiating the user in order to attain such optimistic scenarios,as the cipher suite used in SSL/TLS plays an important role in securing E-Commerce web *** paper primarily focuses on analyzing the SSL/TLS cipher and elliptic *** paper also recommends the best elliptic curve cipher suites for E-Commerce and online banking servers,based on their power consumption,handshake execution time,and key exchange and signature verification time.

关键词： Elliptic curve cipher suites secp256r1 curve25519 ed25519

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Comparative study on transverse shrinkage, mechanical and metallurgical properties of AA2219 aluminium weld joints prepared by gas tungsten arc and gas metal arc welding processes

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Defence Technology（防务技术） 2015年第3期11卷 262-268页

作者： S.arunkumar P.RANGARAJAN k.DEVAkUMARAN P.SATHIYA Department of Production Engineering National Institute of Technology Welding Research Institute BHEL

Aluminium alloy AA2219 is a high strength alloy belonging to 2000 series. It has been widely used for aerospace applications, especially for construction of cryogenic fuel tank. However, arc welding of AA2219 material is very critical. The major problems that arise in arc welding of AA2219 are the adverse development of residual stresses and the re-distribution as well as dissolution of copper rich phase in the weld *** effects increase with increase in heat input. Thus, special attention was taken to especially thick section welding of AA2219-T87 aluminium alloy. Hence, the present work describes the 25 mm-thick AA2219-T87 aluminium alloy plate butt welded by GTAW and GMAW processes using multi-pass welding procedure in double V groove design. The transverse shrinkage, conventional mechanical and metallurgical properties of both the locations on weld joints were studied. It is observed that the fair copper rich cellular(CRC) network is on Side-A of both the weldments. Further, it is noticed that, the severity of weld thermal cycle near to the fusion line of HAZ is reduced due to low heat input in GTAW process which results in non dissolution of copper rich phase. Based on the mechanical and metallurgical properties it is inferred that GTAW process is used to improve the aforementioned characteristics of weld joints in comparison to GMAW process.

关键词：焊接工艺设计铝合金焊接冶金性能横向收缩性能对比金属机械天然气

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Multi-spectroscopic characterization of bovine serum albumin upon interaction with atomoxetine

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Journal of Pharmaceutical Analysis 2017年第3期7卷 148-155页

作者： arunkumar T. Buddanavar Sharanappa T. Nandibewoor P.G. Department of studies in Chemistry Karnatak UniversityDharwad 580003India

The quenching interaction of atomoxetine(ATX) with bovine serum albumin(BSA) was studied in vitro under optimal physiological condition(pH=7.4) by multi-spectroscopic techniques. The mechanism of ATX-BSA system was a dynamic quenching process and was confirmed by the fluorescence spectra and lifetime measurements. The number of binding sites, binding constants and other binding characteristics were computed. Thermodynamic parameters ΔH^0 and ΔS^0 indicated that intermolecular hydrophobic forces predominantly stabilized the drug-protein system. The average binding distance between BSA and ATX was studied by F?rsters theory. UV-absorption, Fourier transform infrared spectroscopy(FT-IR), circular dichroism(CD), synchronous spectra and three-dimensional(3D) fluorescence spectral results revealed the changes in micro-environment of secondary structure of protein upon the interaction with ATX. Displacement of site probes and the effects of some common metal ions on the binding of ATX with BSA interaction were also studied.

关键词： Atomoxetine Bovine serum albumin 3D fluorescence spectra FT-IR Energy transfer Lifetime measurement

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Advancement in CFD and Responsive AI to Examine Cardiovascular Pulsatile Flow in Arteries:A Review

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Computer Modeling in Engineering & Sciences 2024年第12期141卷 2021-2064页

作者： Priyambada Praharaj Chandrakant R.Sonawane arunkumar Bongale Department of Engineering Science and Humanities JSPM Rajarshi Shahu College of EngineeringPune411033India Robotics and Automation Department Symbiosis Institute of TechnologySymbiosis Institute(Deemed)UniversityPune412115India

This paper represents a detailed and systematic review of one of the most ongoing applications of computational fluid dynamics(CFD)in biomedical *** its various engineering applications,CFD has started to establish a presence in the biomedical *** abnormality,a familiar health issue,is an essential point of investigation by research *** modalities provide cardiovascular structural information but give insufficient information about the hemodynamics of *** study of hemodynamic parameters can be a potential measure for determining cardiovascular *** studies have explored the rheological behavior of blood experimentally and *** paper provides insight into how researchers have incorporated the pulsatile nature of the blood experimentally,numerically,or through various simulations over the *** focuses on how machine learning platforms derive outputs based on mass and momentum conservation to predict the velocity and pressure profile,analyzing various cardiac diseases for clinical *** will pave the way toward responsive AI in cardiac healthcare,improving productivity and quality in the healthcare *** paper shows how CFD is a vital tool for efficiently studying the flow in *** review indicates this biomedical simulation and its applications in healthcare using machine learning and *** AI-based CFD models can impact society and foster the advancement towards responsive AI.

关键词： Pulsatile flow cardiovascular CFD simulation patient-specific GPU-accelerated responsive AI

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Heat shock proteins: Molecules with assorted functions

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Frontiers in Biology 2011年第4期6卷 312-327页

作者： Surajit SARkAR MDhruba SINGH Renu YADAV k.P.arunkumar Geoffrey W.PITTMAN Department of Genetics University of DelhiSouth CampusBenito Juarez RoadNew Delhi-110021India Division of Biology MC156-29California Institute of Technology1200 East California BoulevardPasadenaCA 91125USA

Heat shock proteins (Hsps) or molecular chaperones, are highly conserved protein families present in allstudied organisms. Following cellular stress, the intracellular concentration of Hsps generally increases several *** undergo ATP-driven conformational changes to stabilize unfolded proteins or unfold them for translocationacross membranes or mark them for degradation. They are broadly classified in several families according to theirmolecular weights and functional properties. Extensive studies during the past few decades suggest that Hsps play avital role in both normal cellular homeostasis and stress response. Hsps have been reported to interact with numeroussubstrates and are involved in many biological functions such as cellular communication, immune response, proteintransport, apoptosis, cell cycle regulation, gametogenesis and aging. The present review attempts to provide a briefoverview of various Hsps and summarizes their involvement in diverse biological activities.

关键词： heat shock protein chaperone chaperonin Hsp100 Hsp90 Hsp70 Hsp60 sHsps fertility apoptosis cytoskeleton

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