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Effects of cartilaginous rings on airflow and particle transport through simplified and realistic models of human upper respiratory tracts

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Acta Mechanica Sinica 2013年第6期29卷 883-892页

作者： Vivek kumar Srivastav Akshoy ranjan Paul Anuj Jain Department of Applied Mechanics Motilal Nehru National Institute of Technology

In the present study, computational fluid dynamics （CFD） is used to investigate inspiratory and expiratory airflow characteristics in the human upper respiratory tract for the purpose of identifying the probable locations of particle deposition and the wall injury. Computed tomography （CT） scan data was used to reconstruct a three dimensional respiratory tract from trachea to first generation bronchi. To compare, a simplified model of respiratory tract based on Weibel was also used in the study. The steady state results are obtained for an airflow rate of 45 L/min, corresponding to the heavy breathing condition. The velocity distribution, wall shear stress, static pressure and particle deposition are compared for inspiratory flows in simplified and realistic models and expiratory flows in realistic model only. The results show that the location of cartilaginous rings is susceptible to wall injury and local particle deposition.

关键词： Upper respiratory tract Cartilaginous rings Computational fluid dynamics (CFD) Computed tomogra- phy (CT) Wall shear stress Particle deposition.

Hybrid IWD-DE:A Novel Approach to Model Cooperative Navigation Planning for Multi-robot in Unknown Dynamic Environment

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Journal of Bionic Engineering 2019年第2期16卷 235-252页

作者： Degal Chandrasekhar Rao Manas ranjan Kabat Pradipta kumar Das Prabir kumar Jena Department of Information Technology VSSUTBurlaOdisha 768018India Department of Computer Science&Engineerings VSSUT、Burla Odisha 76801&India Department of Mechanical Engineering VSSUTBurlaOdisha 76801&India

The current study emphasizes inadequacies of earlier research findings on multi-robot navigation and offers a robust approach to guide the robots in an unknown dynamic *** attain the objective,the Intelligent Water Drop(IWD)algorithm is combined with Differential Evolution(DE)in a new conceptual fashion to optimize the navigation path of multiple mobile *** hybrid IWD-DE,basic IWD and DE algorithms are then explored for multi-robot navigation in a dynamic workspace through *** simulation outcomes demonstrate the competency of the proposed method to guide the robot in predicting the nature of the obstacle and to generate an optimal and safe trajectory in a dynamic *** potency of the proposed algorithm is further validated through experimentation with fire bird robot in a real *** outcomes of the simulation and experimentation,by employing IWD-DE algorithm are compared with those of basic IWD and DE *** error estimated for Average Navigation Path Travelled(ANPT),Aggregate Navigation Path Deviation(ANPD)and number of turns between simulation and experimental results by employing IWD-DE is 8.96,9.09,and 11.13,respectively while reaching 16.43,28.61,29.15 for IWD,and 6.66,10.20,14.28 for *** efficiency of the proposed approach is further verified with the state-of-the-art in a dynamic *** outcomes reveal the efficiency and flexibility of the proposed approach in resolving the multi-robot navigation problem as compared to the state-of-the-art in a dynamic workspace.

关键词： multi-robot dynamic environment intelligent water drop differential evolution navigation planning waypoints fire bird robot

An application of local linear radial basis function neural network for flood prediction

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Journal of Management Analytics 2019年第1期6卷 67-87页

作者： Binaya kumar Panigrahi Tushar kumar Nath Manas ranjan Senapati Department of Civil Engineering Gandhi Institute of Education and TechnologyBaniatangiKhordhaIndia Department of Civil Engineering Indira Gandhi Institute of TechnologySarangaIndia Department of Information Technology Veer Surendra Sai University of TechnologyBurlaOdishaIndia

Heavy seasonal rain makes waterway flood and is one of the preeminent reason behind *** causes various perils with outcomes including danger to human life,harm to building,streets,misfortune to horticultural fields and bringing about human ***,prediction of flood is of prime importance so as to reduce exposure of people and destruction of *** paper focuses on applying different neural networks approach,*** Perceptron,Radial Basis functional neural network,Local Linear Radial Basis Functional Neural Network and Artificial Neural Network with Whale Optimization to predict flood in terms of rainfall,gauge,area,velocity,pressure,average temperature,average wind speed that are setup through field and lab investigation from the contextual analysis of river“Daya”and“Bhargavi”.It has always been a troublesome undertaking to predict flood as many factors have influence on it although with this neural network models the prediction accuracy can be optimized using back propagation method which is a widely applied over traditional learning method for neural system because of its preeminent learning *** flood prediction system is built with the four models and a comparison is made which provides us the answer to which model is effective for the prediction.

关键词： multilayer perceptron radial basis functional neural network local linear radial basis functional neural network whale optimization

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

Determination of blast-induced ground vibration equations for rocks using mechanical and geological properties

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Journal of Rock Mechanics and Geotechnical Engineering 2016年第3期8卷 341-349页

作者： ranjan kumar Deepankar Choudhury Kapilesh Bhargava Department of Civil Engineering Indian Institute of Technology BombayPowaiMumbai 400076India Civil Engineering Division Bhabha Atomic Research CentreMumbai 400085India Academy of Scientific and Innovative Research(AcSIR) New DelhiIndia Nuclear Recycle Board Bhabha Atomic Research CentreMumbai 400085India Homi Bhabha National Institute MumbaiIndia

In the recent decades, effects of blast loads on natural and man-made structures have gained considerable attention due to increase in threat from various man-made activities. Site-specific empirical relationships for calculation of blast-induced vibration parameters like peak particle velocity （PPV） and peak particle displacement （PPD） are commonly used for estimation of blast loads in design. However, these relation- ships are not able to consider the variation in rock parameters and uncertainty of in situ conditions. In this paper, a total of 1089 published blast data of various researchers in different rock sites have been collected and used to propose generalized empirical model for PPV by considering the effects of rock parameters like unit weight, rock quality designation （ROD）, geological strength index （GSI）, and uniaxial compressive strength （UCS）. The proposed PPV model has a good correlation coefficient and hence it can be directly used in prediction of blast-induced vibrations in rocks. Standard errors and coefficient of correlations of the predicted blast-induced vibration parameters are obtained with respect to the observed field data. The proposed empirical model for PPV has also been compared with the empirical models available for blast vibrations predictions given by other researchers and found to be in good agreement with specific cases.

关键词： Blast loadsEmpirical equationsRock quality designation (RQD)Unit weightPeak particle velocity (PPV)Uniaxial compressive strength (UCS)Geological strength index (GSI)

A review on dump slope stabilization by revegetation with reference to indigenous plant

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Ecological Processes 2015年第1期4卷 154-164页

作者： Vibhash ranjan Phalguni Sen Dheeraj kumar Arjun Sarsawat Thakurani Iron Ore Mines of M/s Sarda Mines(P)Limited SoyabaliBarbilKeonjharOdishaIndia Department of Mining Engineering Indian School of MinesDhanbad 826004India.

The waste,subgrade ROM and fine dumps of iron ore mines are characterized by high rock fragment contents,low moisture retention capacity,higher bulk density,low nutrients,lower pH and elevated metal *** of suitable revegetation programme,that require the selection of right type of plants to be used vis-à-vis the site condition and characteristics,can enhance the long-term stability,both mechanical and ecological,of dumps(waste,subgrade ROM and fines)through providing vegetative cover to control soil erosion and gully formation,consolidation of dump top and side surfaces,binding the loose particles through intricate roof system,*** paper overviews the roles of revegetation programme that can be used where vegetation is considered to be the long-term answer to slope protection and erosion *** revegetation processes like Coir matting,lemon grass,vetiver grass and indigenous plant may find a wide range of usage in iron ore mines for dump *** Miyawaki method of plantation is more effective than the conventional method of *** will lead to co-existence of plants,and as a matter of fact each plant draws from the other vital nutrients and they grow to become strong and *** Miyawaki plantation technique aims at“survival of the fittest”,and the area which undergone such plantation has an ecology of their *** indigenous plant has good binding capacity and helps to control soil erosion as well as improve the dump *** indigenous plant species include Shorea robusta(Sal),Dalbergia sisoo(Shisham),Karanj and Azadirachta(Neem).The growth of indigenous plants is dependent upon the soil quality as well as the organic matter of the dump *** leaf debris plays an important role for improving the organic matter of the dump material to successfully implement the revegetation programme.

关键词： Revegetation Coir mat Vetiver grass Lemon grass Indigenous plant Selection of plant species

Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock market prediction

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International Journal of Intelligent Computing and Cybernetics 2019年第2期12卷 175-193页

作者： Smita Rath Binod kumar Sahu Manoj ranjan Nayak Institute of Technical Education and Research Siksha O Anusandhan UniversityBhubaneswarIndia

Purpose–Forecasting of stock indices is a challenging issue because stock data are dynamic,non-linear and uncertain in *** of an accurate forecasting model is very much essential to predict the next-day closing prices of the stock *** purpose of this paper is to develop an efficient and accurate forecasting model to predict the next-day closing prices of seven stock ***/methodology/approach–A novel strategy called quasi-oppositional symbiotic organisms search-based extreme learning machine(QSOS-ELM)is proposed to forecast the next-day closing prices *** in the prediction of closing price depends on output weights which are dependent on input weights and *** paper mainly deals with the optimal design of input weights and biases of the ELM prediction model using QSOS and SOS optimization ***–Simulation is carried out on seven stock indices,and performance analysis of QSOS-ELM and SOS-ELM prediction models is done by taking various statistical measures such as mean square error,mean absolute percentage error,accuracy and paired sample *** performance analysis reveals that the QSOS-ELM model outperforms the SOS-ELM model in predicting the next-day closing prices more accurately for all the seven stock indices under ***/value–The QSOS-ELM prediction model and SOS-ELM are developed for the first time to predict the next-day closing prices of various stock *** paired t-test is also carried out for the first time in literature to hypothetically prove that there is a zero mean difference between the predicted and actual closing prices.

关键词： Extreme learning machine Symbiotic organisms search Quasi-oppositional-based learning,Paired sample t-test

Neurological manifestations of hepatitis E virus infection:An overview

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World Journal of Gastroenterology 2021年第18期27卷 2090-2104页

作者： Ashish kumar Jha Gaurav kumar Vishwa Mohan Dayal Abhay ranjan Arya Suchismita Department of Gastroenterology Indira Gandhi Institute of Medical SciencesPatna 800014India Department of Neurology Indira Gandhi Institute of Medical SciencesPatna 800014India Department of Pediatric Hepatology Institute of Liver and Biliary SciencesBasant Kunj 110070New DelhiIndia

Hepatitis E virus(HEV)is an important cause of repeated waterborne outbreaks of acute ***,several extrahepatic manifestations(EHMs)have been described in patients with HEV *** these,neurological disorders are the most common EHM associated with *** involvement of both the peripheral nervous system and central nervous system can occur together or in *** can present with normal liver function tests,which can often be misleading for *** is a paucity of data on HEV-related neurological manifestations;and these data are mostly described as case reports and case *** this review,we analyzed data of 163 reported cases of HEV-related neurological *** mechanisms of pathogenesis,clinico-demographic profile,and outcomes of the HEV-related neurological disorders are described in this *** root and plexus disorder were found to be the most commonly reported disease,followed by meningoencephalitis.

关键词： Hepatitis E virus Acute hepatitis E Extrahepatic manifestations Neurological manifestations Neuralgic amyotrophy Guillain-Barrésyndrome

Tailoring of electrical properties of BiFeO_(3) by praseodymium

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Journal of Advanced Ceramics 2013年第3期2卷 235-241页

作者： Samita PATTANAYAK Ashwasa PRIYADARSHAN Ritesh SUBUDHI ranjan kumar NAYAK Rajib PADHEE Department of Physics Institute of Technical Education&ResearchSiksha‘O’Anusandhan UniversityBhubaneswar 751030India

The polycrystalline samples of Bi_(1-x)Pr_(x)FeO_(3)(x=0 and 0.1)were prepared by a solid-state reaction *** X-ray structural analysis has confirmed the formation of a single-phase *** of dielectric and impedance spectroscopy of the materials,carried out in wide frequency(1 kHz-1 MHz)and temperature(25-400℃)ranges,have provided many interesting results including significant decrement in tangent loss,structural stability,obeying Jonscher’s universal power law,etc.

关键词： ceramics impedance spectroscopy electrical conductivity