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Effectiveness of state incentives for promoting wind energy： A panel data examination

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Frontiers in Energy 2015年第3期9卷 247-258页

作者： deepak SANGROYA Jogendra nayak Department of Management Studies Indian Institute of Technology IIT Roorkee Roorkee 247667 India

Over the last decade, India has started to concentrate earnestly on renewable energy. The Indian government, as well as different state governments, are adopting policy instruments such as feed in tariff, captive consumption, renewable purchase obligation and genera- tion based incentive etc. aimed at renewable energy development. This paper evaluates the effectiveness of state level incentives for the development of wind energy in India. Fixed effect panel data modelling technique of econometric analysis is used to analyse the data of 26 Indian states in 11 years. The results show that feed in tariff and captive consumption are the significant predictors of wind energy development. However, renewable purchase obligation does not affect wind energy significantly.

关键词： India wind energy development state incen-tives econometric analysis panel data

Malignant otitis externa with subsequent internal jugular vein thrombosis and hypoglossal palsy:a report and review of literature

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Journal of Otology 2020年第3期15卷 112-116页

作者： K Devaraja Dipak ranjan nayak Department of Otorhinolaryngology and Head and Neck Surgery Kasturba Medical CollegeManipal Academy of Higher EducationUdupiKarnataka576104India

Inflammation of a part or whole of the temporal bone and surrounding soft tissue is termed as malignant otitis externa,which typically spreads to skull base to involve cranial nerves *** can it also effect one or more of cranial nerves IX,X,XI,and *** present a case of malignant otitis externa which presented with symptomatic palsy of IX and XII nerves sparing the VII cranial *** patient though later on had internal jugular vein thrombosis,which we presume is due to the involvement of the parapharyngeal space that prompted us to reconsider the diagnosis,and later on,to aggravate the *** proper blood sugar control and appropriate long term antibiotics,not only that the patient is disease free at one year follow up,but the cranial nerve deficits also *** from sharing the clinical and management details of this patient,we have reviewed the relevant literature in the discussion,which has shed some light onto some of the interesting facts about this condition and its prognosis.

关键词： Skull base osteomyelitis Malignant otitis externa Hypoglossal palsy Diabetes mellitus Internal jugular vein

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

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

Microwave-assisted reduction roasting–magnetic separation studies of two mineralogically different low-grade iron ores

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International Journal of Minerals,Metallurgy and Materials 2020年第11期27卷 1449-1461页

作者： Subhnit K.Roy deepak nayak Nilima Dash Nikhil Dhawan Swagat S.Rath Mineral Processing Department CSIR-Institute of Minerals and Materials TechnologyBhubaneswar 751013India Department of Metallurgical and Materials Engineering Indian Institute of TechnologyRoorkee 247667India

The microwave-assisted reduction behaviours of two low-grade iron ores having a similar Fe content of 49wt%but distinctly different mineralogical and liberation characteristics were *** performances in terms of the iron grade and recovery as obtained from statistically designed microwave(MW)roasting followed by low-intensity magnetic separation(LIMS)experiments were *** respective optimum conditions,the titano-magnetite ore(O1)could yield an iron concentrate of 62.57%Fe grade and 60.01%Fe recovery,while the goethitic ore(O2)could be upgraded to a concentrate of 64.4%Fe grade and 33.3%Fe *** with the goethitic ore,the titanomagnetite ore responded better to MW *** characterization studies of the feed and roasted products obtained at different power and time conditions using X-ray diffraction,optical microscopy,vibrating-sample magnetometry,and electron-probe microanalysis explain the sequential reduction in the iron oxide ***,taking advantage of the MW absorbing character of the titano-magnetite ore,a blend of the same with the goethite-rich ore at a weight ratio of 60:40(O2:O1)was subjected to MW roasting that resulted in a concentrate of 61.57%Fe grade with a Fe recovery of 64.47%.

关键词： microwave reduction roasting titano-magnetite ore goethitic ore magnetic separation

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

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Big Data Mining and Analytics 2023年第1期6卷 32-43页

作者： Kalyan Kumar Jena Sourav Kumar Bhoi Soumya ranjan nayak Ranjit Panigrahi Akash Kumar Bhoi Department of Computer Science and Engineering Parala Maharaja Engineering CollegeBerhampur 761003India Amity School of Engineering and Technology Amity UniversityUttar Pradesh 201303India Department of Computer Applications Sikkim Manipal Institute of TechnologySikkim Manipal UniversitySikkim 737102India Directorate of Research Sikkim Manipal UniversityGangtokSikkim 737102India

As a huge number of satellites revolve around the earth,a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time ***,classifying satellite images plays strong assistance in remote sensing communities for predicting tropical *** this article,a classification approach is proposed using Deep Convolutional Neural Network(DCNN),comprising numerous layers,which extract the features through a downsampling process for classifying satellite cloud *** is trained marvelously on cloud images with an impressive amount of prediction *** time decreases for testing images,whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset *** satellite images are taken from the Meteorological&Oceanographic Satellite Data Archival Centre,the organization is responsible for availing satellite cloud images of India and its *** proposed cloud image classification shows 94% prediction accuracy with the DCNN framework.

关键词： satellite images satellite image classification cyclone prediction Deep Convolutional Neural Network(DCNN) features layers down-sampling process

Extraction of aluminium as aluminium sulphate from thermal power plant fly ashes

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Transactions of Nonferrous Metals Society of China 2017年第9期27卷 2082-2089页

作者： Seoul SANGITA Niva nayak Chitta ranjan PA Environment & Sustainability Department CSIR-Institute of Minerals & Materials Technology

Valuable metal extraction technology from thermal power plant fly ash is *** the present study,aluminium is extracted from fly ash as highly pure aluminium sulphate(>99.0%)by leaching with sulphuric acid,followed by pre-concentration and successive *** types of fly ashes from different sources,i.e.,Talcher Thermal Power Station(TTPS)and Vedanta Aluminium Company Limited(VAL)were chosen for comparative study on the extraction of aluminium as aluminium *** product is characterized by powder X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR)and thermogravimetric analysis(TGA).Purity of aluminium sulphate was also investigated by inductively coupled plasma?optical emission spectrometry(ICP?OES).The extraction efficiency of aluminium depends on the varied solid-to-liquid ratio(fly ash:18mol/L H2SO4,g/mL)and particle size of fly ***-chemical analysis indicates that the obtained product is Al2(SO4)3·18H2O,having low iron content(0.08%).

关键词： fly ash sulphuric acid aluminium sulphate leaching solid-to-liquid ratio particle size

The Development of Efficient Plant Promoters for Transgene Expression Employing Plant Virus Promoters

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Molecular Plant 2012年第4期5卷 941-944页

作者： Sunita Patro deepak Kumar Rajiv ranjan Indu B.Maiti Nrisingha Dey Institute of Life Sciences Department of BiotechnologyGovernment of IndiaNalco SquareChandrasekherpurBhubaneswar 751023OrissaIndia Kentucky Tobacco Research and Development Center University of KentuckyLexingtonKY 40546-0236USA

Dear Editor, The structure of eukaryotic promoter is modular, consisting of different sub-domains （Benfey et al., 1990）. Cross-talk among these sub-domains and effective combinatorial interac- tions between the specific cis-element/s with respective trans- factor/s usually control the strength and tissue specificity of the promoter. Further, specificity/inducibility of promoter can be modified by altering its genetic architecture through ＇cis-rearrangement＇（Rushton et al., 2002） and ＇swapping of sub-domains＇（Bhullar et al., 2003）. The fundamental motiva- tion behind developing such modified promoters lies in thebelief that the swapping/shuffling of the upstream activation sequences carrying a specific set of cis-elements that bind to a particular trans-factor from one promoter to the other con- taininq a TATA seauence that miaht result in a novel chimericregu!atory module,

关键词： GENE expression in plants PROMOTERS (Genetics) GENE expression CHARTS, diagrams, etc. CHIMERIC nucleic acids PLANT molecular virology GENOMICS

Erosive Wear Study of PPLSF/Glass Fiber Reinforced Hybrid Laminates

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Journal of Harbin Institute of Technology(New Series) 2024年第2期31卷 68-79页

作者： Chetana Tripathy deepak Kumar Mohapatra Chitta ranjan Deo Punyapriya Mishra Department of Mechanical Engineering Veer Surendra Sai University of Technology(VSSUT)Sambalpur 768018India

This work is focused to examine the erosive performance of hybrid Palmyra palm leaf stalk fiber(PPLSF)/glass polyester laminate against solid particle bombardment.A hand lay-up method was adopted for the fabricating four piles of five distinct laminates with different stacking order glass and PPLSF *** them,one group of pure PPLSF and pure E-glass laminates were *** hybrid laminates were exposed to high speed stream of solid sand particle at three distinct impact velocities(48,70 and 82 m/s)and four different angles of impingement(30°,45°,60°and 90°).The effect of particle velocity,angle of impingement and stacking order on both wear rate and efficiency were *** experimental assessment reveals a significant improvement in erosive wear resistance properties due to hybridization of PPLSF with ***,the laminates with PPLSF layer as skin and glass as core layer exhibited better erosive wear resistance properties than other types of ***,a maximum value of erosion at lower velocity(48 m/s)is also noticed at 45°impingement ***,at high velocity of impact 70 m/s and 82 m/s,the maximum rate of erosion has been shifted from 45°impact angle to 60°impact *** alternation of this semi-ductile character to semi-brittle character is evidenced by analyzing the experimental *** to justify the mode of erosion,the eroded surface samples were inspected by scanning electron microscope(SEM).

关键词： hybrid composites erosion wear void micro-hardness SEM