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Integrated model for earthquake risk assessment using neural network and analytic hierarchy process:Aceh province,Indonesia

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Geoscience Frontiers 2020年第2期11卷 613-634页

作者： Ratiranjan Jena Biswajeet pradhan Ghassan Beydoun Nizamuddin Ardiansyah Hizir Sofyan Muzailin Affan Centre for advanced Modelling and Geospatial Information Systems(CAMGIS) School of InformationSystems and ModellingUniversity of Technology SydneyNSW2007Australia Department of Energy and Mineral Resources Engineering Choongmu-gwanSejong University209 Neungdong-roGwangjin-guSeoul05006South Korea Department of Informatics Syiah Kuala UniversityBanda AcehIndonesia Department of Statistics Syiah Kuala UniversityBanda AcehIndonesia

Catastrophic natural hazards,such as earthquake,pose serious threats to properties and human lives in urban ***,earthquake risk assessment(ERA)is indispensable in disaster *** is an integration of the extent of probability and vulnerability of *** study develops an integrated model by using the artificial neural network–analytic hierarchy process(ANN–AHP)model for constructing the ERA *** aim of the study is to quantify urban population risk that may be caused by impending *** model is applied to the city of Banda Aceh in Indonesia,a seismically active zone of Aceh province frequently affected by devastating *** is used for probability mapping,whereas AHP is used to assess urban vulnerability after the hazard map is created with the aid of earthquake intensity variation thematic *** risk map is subsequently created by combining the probability,hazard,and vulnerability ***,the risk levels of various zones are *** validation process reveals that the proposed model can map the earthquake probability based on historical events with an accuracy of 84%.Furthermore,results show that the central and southeastern regions of the city have moderate to very high risk classifications,whereas the other parts of the city fall under low to very low earthquake risk *** findings of this research are useful for government agencies and decision makers,particularly in estimating risk dimensions in urban areas and for the future studies to project the preparedness strategies for Banda Aceh.

关键词： Earthquake Hazard Vulnerability Risk GIS ANN–AHP

Reconstructing phase diagrams from local measurements via Gaussian processes:mapping the temperature-composition space toconfidence

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npj Computational Materials 2018年第1期4卷 451-461页

作者： Dhiren K.pradhan Shalini Kumari Evgheni Strelcov Dillip K.pradhan Ram S.Katiyar Sergei V.Kalinin Nouamane Laanait Rama K.Vasudevan Department of Physics and Institute of Functional Nanomaterials University of Puerto Rico San Juan PR 00936 USA Institute for Research in Electronics and Applied Physics University of MarylandCollege ParkMD 207425USA Department of Physics&Astronomy National Institute of TechnologyRourkela 769008India Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN 37831 USA Institute for Functional Imaging of Materials Oak Ridge National LaboratoryOak RidgeTN 37831USA Geophysical Laboratory Carnegie Institution for ScienceWashingtonDC 20015USA Department of Physics and Astronomy West Virginia UniversityMorgantownWV 26506USA

We show the ability to map the phase diagram of a relaxor-ferroelectric system as a function of temperature and composition through local hysteresis curve acquisition,with the voltage spectroscopy data being used as a proxy for the(unknown)microscopic state or thermodynamic parameters of *** the discrete nature of the measurement points,we use Gaussian processes to reconstruct hysteresis loops in temperature and voltage space,and compare the results with the raw data and bulk dielectric spectroscopy *** results indicate that the surface transition temperature is similar for all but one composition with respect to the *** clustering algorithms,we recreate the main features of the bulk diagram,and provide statistical confidence estimates for the reconstructed phase transition *** validate the method by using Gaussian processes to predict hysteresis loops for a given temperature for a composition unseen by the algorithm,and compare with *** techniques can be used to map phase diagrams from functional materials in an automated fashion,and provide a method for uncertainty quantification and model selection.

关键词： materials hysteresis phase

Transcultural adaptation of Odia version of health-related kidney disease and quality of life-36 instrument

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Journal of Integrative Nursing 2024年第1期6卷 41-48页

作者： Rashmimala pradhan Pravati TRIPATHY Debaprasad KAR Department of Medical Surgical Nursing SUM Nursing CollegeSiksha‘O'Anusandhan(Deemed to be University)BhubaneswarOdishaIndia SUM Nursing College Siksha‘O'Anusandhan(Deemed to be University)BhubaneswarOdishaIndia Department of Nephrology IMS and SUM HospitalBhubaneswarOdishaIndia

Objective:The study objective was to translate,validate,and test the reliability of the original kidney disease and quality of life-36(KDQOL-36^(TM))instruments in *** and Methods:A cross-sectional design with a purposive sampling technique was *** to RAND Corporation guidelines,initially,the items of the KDQOL-36^(TM)questionnaires were translated into Odia by two independent,bilingual,professional translators,and then back-translated to English,followed by tryout and field *** experts validated the KDQOL-36^(TM)instrument review committee for review related to kidney health *** tool was implemented among 180 patients undergoing“maintenance”*** following tests evaluated reliability and validity:test-retest reliability with Cronbach’s alpha correlation(stability),(reliability)internal consistency,and contents validity ***:The Cronbach’s alpha value and intraclass correlation coefficient(ICC)score of all five domains,namely“physical component summary,mental component summary(MCS),the burden of kidney disease,symptoms and problems of kidney disease,and effects of kidney disease”of both KDQOL-36^(TM)English and Odia(KDQOL-36-E^(TM)and KDQOL-36-O^(TM))version,recommended excellent homogeneity.A high positive correlation(r=0.998)was found between the Odia version of KDQOL-36^(TM)and the English version KDQOL-36^(TM)*** ICC score ranges from 0.889 to 0.997 at a 95%confidence interval for test-retest reliability,and Cronbach’s alpha was ***:This study explores the Odia version of KDQOL-36^(TM)psychometric properties,depicted at an acceptable level of internal *** KDQOL-36-O^(TM)instrument is a valid and reliable tool for assessing the kidney disease-related quality of life in Odia-speaking hemodialysis patients.

关键词： Hemodialysis patients kidney disease and quality of life‑36 reliability transcultural validation

Protection Challenges Under Bulk Penetration of Renewable Energy Resources in Power Systems:A Review

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CSEE Journal of Power and Energy Systems 2017年第4期3卷 365-379页

作者： Vishnuvardhan Telukunta Janmejaya pradhan Anubha Agrawal Manohar Singh Power Systems Division Central Power Research InstituteBengaluru 560080India R V College of Engineering Bengalure 560059India

Among different sources of alternate energy,wind and solar are two prominent and promising alternatives to meet the future electricity needs for ***,these sources are integrated at the distribution utilities to supply the local distribution *** the power generated by these sources is bulk,then they are either integrated at the distribution/transmission level or may be operated in an island mode if *** integration of these renewables in the power network will change the fault level and network *** fault levels are intermittent in nature and existing protection schemes may fail to operate because of their pre-set ***,the design and selection of a proper protection scheme is very much essential for reliable control and operation of renewable integrated power *** upon the level of infeed and location of the renewable integration,the protection requirements are *** low renewable infeed at the distribution level,the existing relay settings are immune from any small change in the network fault current from new incoming ***,bulk renewable infeed requires modification in the existing protection schemes to accommodate the fault current variation from the incoming *** bulk penetration of the renewable,the requirement of modified/additional protection schemes is *** relaying and non-adaptive relaying schemes are discussed in the literature for protection of power networks,which are experiencing dynamic fault currents and frequent changing network *** article presents a detailed review of protection schemes for renewable integrated power networks which includes distribution,transmission and microgrid *** merits and demerits of these protection schemes are also identified in this article for the added interest of the *** visible scope of advance protection schemes which may be suitable for providing reliable protection for dyn

关键词： adaptive relaying distribution systems distance protection doubly fed induction generator microgrid protection renewable energy source

A review of neural networks in plant disease detection using hyperspectral data

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Information Processing in Agriculture 2018年第3期5卷 354-371页

作者： Kamlesh Golhani Siva K.Balasundram Ganesan Vadamalai Biswajeet pradhan Department of Agriculture Technology Faculty of AgricultureUniversiti Putra Malaysia43400 SerdangSelangorMalaysia Department of Plant Protection Faculty of AgricultureUniversiti Putra Malaysia43400 SerdangSelangorMalaysia School of Systems Management and LeadershipFaculty of Engineering and ITUniversity of Technology SydneyBroadwayNSW 2007Australia

This paper reviews advanced Neural Network(NN)techniques available to process hyperspectral data,with a special emphasis on plant disease ***,we provide a review on NN mechanism,types,models,and classifiers that use different algorithms to process hyperspectral *** we highlight the current state of imaging and nonimaging hyperspectral data for early disease *** hybridization of NNhyperspectral approach has emerged as a powerful tool for disease detection and *** Disease Index(SDI)is the ratio of different spectral bands of pure disease ***,we introduce NN techniques for rapid development of *** also highlight current challenges and future trends of hyperspectral data.

关键词： spectral neural networks

Application of multi-criteria decision making methods for selection of micro-EDM process parameters

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advances in Manufacturing 2014年第3期2卷 251-258页

作者： A.P.Tiwary B.B.pradhan B.Bhattacharyya Department of Mechanical Engineering Sikkim Manipal Institute of TechnologyEast Sikkim.Majitar 737136.India Department of Production Engineering Jadavpur UniversityKolkata 700032India

Ti-6A1-4V super alloy is an important engi- neering material with good strength to weight ratio and a wide range of applications in a number of engineering fields because of its excellent physical and mechanical properties. This work determines optimum process parameters such as pulse on time, peak current, gap voltage and flushing pressure, which influence the micro-electro discharge machining （EDM） process during machining of Ti-6AI-4V using combined methods of response surface methodology （RSM） and fuzzy-technique for order pref- erence by similarity to ideal solution （TOPSIS）. Central composite design （CCD） is used in the experimental investigation. A decision making model is developed to identify the optimum process parameters in the micro- EDM process, which influences several machining criteri- ons such as material removal rate （MRR）, tool wear rate （TWR）, overcut （OC） and taper. Triangular fuzzy numbers are used to determine the weighting factor for each process criterion. Further a fuzzy-TOPSIS method is used to select the most desirable factor level combinations. The proposed technique can be used to select optimal process parameters from various sets of combinations of process parameters in a micro-EDM process.

关键词： Micro-EDM - Ti-6A1-4V Fuzzy-techniquefor order preference by similarity to ideal solution(TOPSIS) Micromachining

Hedgehog signaling pathway gene variant influences bronchopulmonary dysplasia in extremely low birth weight infants

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World Journal of Pediatrics 2021年第3期17卷 298-304页

作者： Shaili Amatya Sharina Rajbhandari Sandeep pradhan Van Trinh Umesh Paudel Lance A.Parton Newborn Medicine Division The Regional Neonatal Intensive Care UnitMaria Fareri Children's Hospital At Westchester Medical CenterValhallaNYUSA Department of Pediatrics New York Medical CollegeValhallaNYUSA Department of Pediatrics Penn State Children’s HospitalHersheyPAUSA Novant Health Presbyterian Medical Center CharlotteNCUSA Department of Public Health Penn State UniversityHersheyPAUSA Department of Pediatrics Harlem Hospital-Columbia University Irving Medical CenterNew YorkNYUSA

Background Genome wide association study identified hedgehog interacting protein gene(HHIP)variants with chronic obstructive pulmonary disease and *** of HHIP,a key regulator of the hedgehog signaling pathway,leads to impaired lung morphogenesis and lethality in animal models,through unimpeded sonic hedgehog expression blocking mesenchymal-expressed fibroblast growth factor 10(FGF10).Since bronchopulmonary dysplasia(BPD)is also associated with altered lung development and worsens with stimuli including mechanical ventilation,reactive oxygen species,and inflammation,HHIP and FGF10 may be candidate *** This was an observational,cohort study including extremely low birth weight infants that who developed BPD and those who did *** was isolated from buccal swabs and subjected to allelic discrimination,using specific HHIP and FGF10 *** levels were measured in tracheal ***'s t test,Chi-square,Z test and logistic regression were *** Demographic characteristics did not differ except that birth weight(715±153 vs.835±132 g)and gestational age(25 vs.26 weeks)were less in babies with *** variant rs 13147758(GG genotype)was found to be independently protective for BPD(odds ratio 0.35,95%confidence interval 0.15-0.82,P=-0.02).Early airway HHIP protein levels were increased in infants with BPD compared to those without[median(interquartile range)130.6(55.6-297.0)and 41.2(22.1-145.6)pg/mL,respectively;P=0.05].The FGF10 single nucleotide polymorphisms were not associated with *** HHIP,as a regulator of lung bud formation,affects BPD susceptibility,and may be valuable in understanding the specific mechanisms for this disease as well as for identifying therapeutic targets in the era of personalized medicine.

关键词： Gene Infants Lung Preterm Single nucleotide polymorphism

Iris Liveness Detection Using Fragmental Energy of Haar Transformed Iris Images Using Ensemble of Machine Learning Classifiers

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 323-345页

作者： Smita Khade Shilpa Gite Sudeep D.Thepade Biswajeet pradhan Abdullah Alamri Symbiosis International(Deemed University) Symbiosis Institute of TechnologyPune412115India Symbiosis Centre for Applied Artificial Intelligence Symbiosis International(Deemed University)Pune412115India Computer Engineering Pimpri Chinchwad College of EngineeringPune411044India Centre for advanced Modelling and Geospatial Information Systems(CAMGIS) School for Civil and Environmental EngineeringFaculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyNew SouthWales2007Australia Earth Observation Center Institute of Climate ChangeUniversity Kebangsaan MalaysiaUKMBangiSelangor43600Malaysia Department of Geology&Geophysics College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from *** systems have grown unsteady and dangerous as a result of spoofing assaults employing contact lenses,replayed the video,and print *** work demonstrates an iris liveness detection approach by utilizing fragmental coefficients of Haar transformed Iris images as signatures to prevent spoofing attacks for the very first time in the identification of iris *** assorted feature creation ways are studied in the presented solutions,and these created features are explored for the training of eight distinct machine learning classifiers and *** predicted iris liveness identification variants are evaluated using recall,F-measure,precision,accuracy,APCER,BPCER,and *** standard datasets were used in the *** main contribution of our study is achieving a good accuracy of 99.18%with a smaller feature *** fragmental coefficients of Haar transformed iris image of size 8∗8 utilizing random forest algorithm showed superior iris liveness detection with reduced featured vector size(64 features).Random forest gave 99.18%***,conduct an extensive experiment on cross datasets for detailed *** results of our experiments showthat the iris biometric template is decreased in size tomake the proposed framework suitable for algorithmic verification in real-time environments and settings.

关键词： Iris images liveness identification Haar transform machine learning biometric feature formation ensemble model

Genetic Relationship and Structure Analysis of Root Growth Angle for Improvement of Drought Avoidance in Early and Mid-Early Maturing Rice Genotypes

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Rice science 2020年第2期27卷 124-132页

作者： Elssa PANDIT Rajendra Kumar PANDA Auromeera SAHOO Dipti Ranjan PANI Sharat Kumar pradhan Crop Improvement Division ICAR-National Rice Research InstituteCuttackOdisha 753006India Orissa University of Agriculture&Technology Bhubaneswar 751003India ICAR-National Bureau of Plant Genetic Resource Base Center National Rice Research InstituteCuttackOdisha 753006India

Deeper rooting 1(Dro1)and Deeper rooting 2(Dro2)are the QTLs that contribute considerably to root growth angle assisting in deeper rooting of rice *** the present study,a set of 348 genotypes were shortlisted from rice germplasm based on root angle *** results of the germplasm lines under drought stress identified 25 drought tolerant donor lines based on leaf rolling,leaf drying,spikelet fertility and single plant yield.A panel containing 101 genotypes was constituted based on screening results and genotyped using Dro1 and Dro2 *** software categorized the genotypes into four sub-populations with different fixation index values for root growth *** clustering analysis and principal coordinate analysis could differentiate the genotypes with or without deeper rooting *** dendrogram constructed based on the molecular screening for deep rooting QTLs showed clear distinction between the rainfed upland cultivars and irrigated *** genotypes,namely Dular,Tepiboro,Surjamukhi,Bamawpyan,N22,Dinorado,Karni,Kusuma,Bowdel,Lalsankari and Laxmikajal,possessed both the QTLs,whereas 67 genotypes possessed only *** average angle of Dro positive genotypes ranged from 82.7°to 89.7°.These genotypes possessing the deeper rooting QTLs can be taken as donor lines to be used in marker-assisted breeding programs.

关键词： root growth angle Dro1 Dro2 deeper rooting upland rice drought avoidance