365 results on '"Mahapatra, G."'
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2. Fruit Powder as Natural Preservatives for Raw Chevon
- Author
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Mahapatra, G. and Biswas, S.
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- 2019
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3. Residual level of Chromium, Copper and Manganese in Soil and Water of N-24 Parganas (West Bengal) and its Relation to Chevon quality
- Author
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Mahapatra, G., Biswas, S., Bhattacharya, D., and Patra, G.
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- 2019
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4. Reliability analysis of landing architecture of aircraft using Fermatean fuzzy arithmetic operation
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Golui, S., Mahapatra, B. S., and Mahapatra, G. S.
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- 2024
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5. Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach
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Mondal, M. K., Mahapatra, B. S., Bera, M. B., and Mahapatra, G. S.
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- 2024
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6. Effect of Watermelon Rind Powder on Quality Attributes and Storage Stability of Raw Pork and Pork Meat balls
- Author
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Mahapatra, G., Biswas, S., Patra, G., Vidyarthi, A. K., and Banerjee, R.
- Published
- 2018
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7. Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness
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Baranidharan, B., Liu, Jie, Mahapatra, G. S., Mahapatra, B. S., and Srilalithambigai, R.
- Published
- 2024
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8. Decision through novel ranking of generalized symmetric pentagonal interval-valued fuzzy criteria for sustainable regional selection
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Vijayakumar, Raja, Mahapatra, G. S., and Dharmalingam, Marimuthu
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- 2024
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9. Global stability and sensitivity analysis of parameters of Omicron variant epidemic in diverse susceptible classes incorporating vaccination stages
- Author
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Prem Kumar, R., Basu, Sanjoy, Santra, P. K., Elsadany, Abdelalim A., Elsonbaty, Amr, Mahapatra, G. S., and Al-khedhairi, A.
- Published
- 2024
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10. A case study on the impact of green investment with a pentagonal fuzzy storage capacity of two green-warehouse inventory systems under two dispatching policies
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Bhavani, G. Durga, Mishra, Umakanta, and Mahapatra, G. S.
- Published
- 2023
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11. Dynamics of a Fractional-Order Prey-Predator Reserve Biological System Incorporating Fear Effect and Mixed Functional Response
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Santra, P.K. and Mahapatra, G. S.
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- 2024
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12. Selective Disassembly Sequence Generation Using Secondary Part Information Matrix
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Murali, Gunji Bala, Mahapatra, G. S., Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Chakrabarti, Amaresh, editor, and Singh, Vishal, editor
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- 2023
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13. Optimal Disassembly Sequence Generation Using Tool Information Matrix
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Bala Murali, Gunji, Jariwalab, Anuj, Savaliac, Samarth, Kadamd, Vrushabh, Mahapatra, G. S., Rout, Amruta, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Deepak, B. B. V. L., editor, Bahubalendruni, M. V. A. Raju, editor, Parhi, D. R. K., editor, and Biswal, B. B., editor
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- 2023
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14. Inventory system with generalized triangular neutrosophic cost pattern incorporating maximum life-time-based deterioration and novel demand through PSO
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Bhavani, G. Durga and Mahapatra, G. S.
- Published
- 2023
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15. Selective Disassembly Sequence Generation Using Secondary Part Information Matrix
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Murali, Gunji Bala, primary and Mahapatra, G. S., additional
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- 2023
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16. A discrete-time epidemic model for the analysis of transmission of COVID19 based upon data of epidemiological parameters
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Ghosh, D., Santra, P. K., Mahapatra, G. S., Elsonbaty, Amr, and Elsadany, A. A.
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- 2022
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17. Multi-objective evolutionary algorithm on reliability redundancy allocation with interval alternatives for system parameters
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Maneckshaw, B. and Mahapatra, G. S.
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- 2022
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18. Effect of reliability on multi-item inventory system with shortages and partial backlog incorporating time dependent demand and deterioration
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Adak, Sudip and Mahapatra, G. S.
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- 2022
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19. Analyzing Election Trends Incorporating Memory Effect through a Fractional-Order Mathematical Modeling
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Santra, P.K., primary, R, Induchoodan, additional, and Mahapatra, G S, additional
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- 2024
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20. Mathematical Analysis of a COVID-19 Epidemic Model by Using Data Driven Epidemiological Parameters of Diseases Spread in India
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Pal, D., Ghosh, D., Santra, P. K., and Mahapatra, G. S.
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- 2022
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21. Cloud formation in metal-rich atmospheres of hot super-Earths like 55 Cnc e and CoRot7b
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Mahapatra, G., Helling, Ch., and Miguel, Y.
- Subjects
Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Solar and Stellar Astrophysics - Abstract
Clouds form in the atmospheres of planets where they can determine the observable spectra, the albedo and phase curves. Cloud properties are determined by the local thermodynamical and chemical conditions of an atmospheric gas. A retrieval of gas abundances requires a comprehension of the cloud formation mechanisms under varying chemical conditions. With the aim of studying cloud formation in metal rich atmospheres, we explore the possibility of clouds in evaporating exoplanets like CoRoT-7b and 55 Cnc e in comparison to a generic set of solar abundances and the metal-rich gas giant HD149026b. We assess the impact of metal-rich, non-solar element abundances on the gas-phase chemistry, and apply our kinetic, non-equilibrium cloud formation model to study cloud structures and their details. We provide an overview of global cloud properties in terms of material compositions, maximum particle formation rates, and average cloud particle sizes for various sets of rocky element abundances. Our results suggest that the conditions on 55 Cnc e and HD149026b should allow the formation of mineral clouds in their atmosphere. The high temperatures on some hot-rocky super-Earths (e.g. the day-side of Corot-7b) result in an ionised atmospheric gas and they prevent gas condensation, making cloud formation unlikely on its day-side., Comment: 19 pages, accepted for publication in MNRAS
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- 2017
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22. Optimal control for dengue transmission based on a model with reinfection and treatment.
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Kumar, R. Prem, Mahapatra, G. S., Santra, P. K., and Nieto, Juan J.
- Subjects
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SENSITIVITY analysis , *DENGUE , *BASIC reproduction number , *COMPUTER simulation , *REINFECTION , *EQUILIBRIUM - Abstract
The model divides the population into five sub-populations of humans and three vectors. Boundedness, non-negativity, and continuous dependence of solutions on initial data prove their well-posedness. An explicit expression of the basic reproduction number and stability analysis of equilibria offer insights into disease mitigation and persistence. The Disease-Free Equilibrium is globally stable when the basic reproduction number is below 1, while the Endemic Equilibrium is globally stable when it is greater than 1. Sensitivity analysis identifies key mitigation parameters, and bifurcation analysis reveals the bifurcation parameter. Optimal control strategies are identified through the maximum principle, and numerical simulations exemplify the analytical results. [ABSTRACT FROM AUTHOR]
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- 2024
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23. Chaotic Dynamics of the Fractional Order Predator-Prey Model Incorporating Gompertz Growth on Prey with Ivlev Functional Response.
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Uddin, Md. Jasim, Santra, P. K., Sohel Rana, Sarker Md., and Mahapatra, G. S.
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GOMPERTZ functions (Mathematics) ,STATE feedback (Feedback control systems) ,PREDATION ,BIFURCATION diagrams ,DISPLAY systems ,PSYCHOLOGICAL feedback - Abstract
This paper examines dynamic behaviours of a two-species discrete fractional order predator-prey system with functional response form of Ivlev along with Gompertz growth of prey population. A discretization scheme is first applied to get Caputo fractional differential system for the prey-predator model. This study identifies certain conditions for the local asymptotic stability at the fixed points of the proposed prey-predator model. The existence and direction of the period-doubling bifurcation, Neimark-Sacker bifurcation, and Control Chaos are examined for the discrete-time domain. As the bifurcation parameter increases, the system displays chaotic behaviour. For various model parameters, bifurcation diagrams, phase portraits, and time graphs are obtained. Theoretical predictions and long-term chaotic behaviour are supported by numerical simulations across a wide variety of parameters. This article aims to offer an OGY and state feedback strategy that can stabilize chaotic orbits at a precarious equilibrium point. [ABSTRACT FROM AUTHOR]
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- 2024
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24. Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection
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Dharmalingam, Marimuthu, primary, Mahapatra, G. S., additional, Georgise, Fasika Bete, additional, and Deb, Mahuya, additional
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- 2024
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25. An Inventory Model of Time and Reliability Dependent Demand with Deterioration and Partial Backordering Under Fuzziness
- Author
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Adak, Sudip, Mahapatra, G. S., Kacprzyk, Janusz, Series Editor, Castillo, Oscar, editor, Jana, Dipak Kumar, editor, Giri, Debasis, editor, and Ahmed, Arif, editor
- Published
- 2020
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26. Discrete Prey–Predator Model with Square Root Functional Response Under Imprecise Biological Parameters
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Santra, P., Mahapatra, G. S., Bhattacharyya, Somnath, editor, Kumar, Jitendra, editor, and Ghoshal, Koeli, editor
- Published
- 2020
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27. Polarization signatures of Mars dust and clouds: Prospects for future spacecraft observations
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Jaiswal, Bhavesh, Mahapatra, G., Nandi, Anuj, Sudhakar, M., Sankarasubramanian, K., and Sheel, V.
- Published
- 2021
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28. Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers
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Marimuthu, Dharmalingam and Mahapatra, G. S.
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- 2021
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29. Effect of inspection and rework of probabilistic defective production on two-layer supply chain incorporating deterioration and reliability dependent demand
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Adak, Sudip and Mahapatra, G. S.
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- 2021
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30. Dynamics of a Fractional-Order Prey-Predator Reserve Biological System Incorporating Fear Effect and Mixed Functional Response
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Santra, P.K., primary and Mahapatra, G. S., additional
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- 2023
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31. System reliability optimization with two-sided power distributed component failure times
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Maneckshaw, B., primary, Barker, Kash, additional, and Mahapatra, G. S., additional
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- 2023
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32. Dynamics of a Prey–Predator System with Herd Behaviour in Both and Strong Allee Effect in Prey
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Biswas, S., Pal, D., Mahapatra, G. S., and Samanta, G. P.
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- 2020
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33. System reliability optimization with two-sided power distributed component failure times.
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Maneckshaw, B., Barker, Kash, and Mahapatra, G. S.
- Subjects
RELIABILITY in engineering ,MATHEMATICAL optimization ,SYSTEM failures ,REDUNDANCY in engineering ,FAILURE mode & effects analysis ,DESIGN failures - Abstract
Many systems connected in series are subject to failure earlier in their design life. The failure rate of such systems has been described by a two-sided power distribution, which enables modeling the entirety of the bathtub curve failure modes with a single distribution. We propose a time-dependent reliability optimization model for improving a system's reliability through the optimal allocation of redundant components whose failure distribution follows a two-sided power distribution. To solve the multi-criteria optimization model, we propose an algorithm that (i) identifies the scale tolerance at which a selected component will have a higher mean residual life, (ii) identifies the level of redundancy for enhancing system reliability, and (iii) identifies other optimal system characteristics, including minimized cost and minimized volume. Two sided power (TSP) distribution with four parameters (a, b, c, η) models time-to-failure. We consider an n-stage series system and assign redundancy within the stages. We propose a multi-objective optimization problem to assign redundancy, accounting for reliability, cost, and system volume. An illustrative example is solved using the NSGA-II algorithm. [ABSTRACT FROM AUTHOR]
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- 2024
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34. Multi-Criteria Decision-Making Interventions to Reinforce the Reading Skills of the Technical Students.
- Author
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Velmurugan, K., Mishra, Smrutisikta, and Mahapatra, G. S.
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READING ,READING intervention ,DECISION making ,ENGINEERING schools ,ENGINEERING students - Abstract
All readers have their own strategies while reading. They do face difficulties in using the appropriate strategy because they blend all the strategies to obtain or achieve specific criteria to achieve the desired comprehension, and in the end, they land up in significant confusion and inefficient reading. This paper aims to identify the vital reading strategies used mainly by the technical students while reading a text and further to classify the reading strategies under the designated criteria that are necessary to be practiced developing the reading efficiency among the technical students. Instead, if they try to find out the specific strategy to follow up for gaining the desired criterion, that will indeed help them better read any text. This paper is validated and illustrated mathematically using Multi-Criteria Decision-Making representation in assessing the data collected from students at different engineering colleges, including some central technical institutions. This paper provides technical students with an idea of using a specific and appropriate strategy which helps them in the application of precis strategy while facing challenges in different aspects while reading. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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35. Global stability and sensitivity analysis of parameters of Omicron variant epidemic in diverse susceptible classes incorporating vaccination stages
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Prem Kumar, R., primary, Basu, Sanjoy, additional, Santra, P. K., additional, Elsadany, Abdelalim A., additional, Elsonbaty, Amr, additional, Mahapatra, G. S., additional, and Al-khedhairi, A., additional
- Published
- 2023
- Full Text
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36. An Inventory Model of Time and Reliability Dependent Demand with Deterioration and Partial Backordering Under Fuzziness
- Author
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Adak, Sudip, primary and Mahapatra, G. S., additional
- Published
- 2020
- Full Text
- View/download PDF
37. Discrete Prey–Predator Model with Square Root Functional Response Under Imprecise Biological Parameters
- Author
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Santra, P., primary and Mahapatra, G. S., additional
- Published
- 2020
- Full Text
- View/download PDF
38. Chaotic Dynamics and Control of a Discrete-Time Chen System
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Rana, Sarker Md. Sohel, primary, Uddin, Md. Jasim, additional, Santra, P. K., additional, and Mahapatra, G. S., additional
- Published
- 2023
- Full Text
- View/download PDF
39. Dynamical study of the theta-logistic predator-prey model incorporating gregarious behavior of prey
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Santra, P.K., primary and Mahapatra, G. S., additional
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- 2023
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40. New approach for stability and bifurcation analysis on predator–prey harvesting model for interval biological parameters with time delays
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Pal, D., Mahapatra, G. S., and Samanta, G. P.
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- 2018
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41. An integrated fuzzy production inventory model for manufacturer–retailer coordination under simple carbon tax system
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Bhavani, G. Durga, primary, Mahapatra, G. S., additional, and Kumar, Akhilesh, additional
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- 2023
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42. From exo-Earths to exo-Venuses: Flux and polarization signatures of reflected light
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Mahapatra, G., primary, Abiad, F., additional, Rossi, L., additional, and Stam, D.M., additional
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- 2023
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43. COVID-19 Spread Modeling Incorporating Suggestive Optimal Control Strategies under Uncertainty.
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Santra, P. K., Pal, D., Mahapatra, G. S., and Alrabaiah, H.
- Subjects
COVID-19 pandemic ,COMPUTER simulation ,MATHEMATICAL models ,BASIC reproduction number - Abstract
In the present paper, we have provided a five-compartmental epidemic model in an interval environment to analyze the spread of COVID-19 infection in India. The proposed model divides the entire population of India into five classes. They are susceptible, exposed, asymptomatic, symptomatic, and recovered classes. Under some suppositions, the crisp model is constructed and converted to an imprecise model by the interval number. We introduced a parametric functional form of an interval number to study the imprecise epidemiological model. The main objective of this study is to develop an epidemiological model in an imprecise environment and to try to understand the dynamics of the epidemic model of COVID-19 infection spread in India. We also presented the COVID-19 model with two controls to effectively control COVID-19 disease in India. Finally, a numerical simulation is carried out considering that the model parameters are imprecise. The numerical results show that our proposed imprecise model is reliable from a practical point of view. [ABSTRACT FROM AUTHOR]
- Published
- 2023
44. Inventory system with generalized triangular neutrosophic cost pattern incorporating maximum life-time-based deterioration and novel demand through PSO
- Author
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Bhavani, G. Durga, primary and Mahapatra, G. S., additional
- Published
- 2022
- Full Text
- View/download PDF
45. Predator–Prey Dynamical Behavior and Stability Analysis with Square Root Functional Response
- Author
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Pal, D., Santra, P., and Mahapatra, G. S.
- Published
- 2017
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46. A genetic ant colony optimization based algorithm for solid multiple travelling salesmen problem in fuzzy rough environment
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Changdar, Chiranjit, Pal, Rajat Kumar, and Mahapatra, G. S.
- Published
- 2017
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47. Parametric Functional Representation of Interval Number with Arithmetic Operations
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Pal, D. and Mahapatra, G. S.
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- 2017
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48. A new concept for fuzzy variable based non-linear programming problem with application on system reliability via genetic algorithm approach
- Author
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Mahapatra, G. S., Mahapatra, B. S., and Roy, P. K.
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- 2016
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49. A Three-Layer Supply Chain EPQ Model for Price- and Stock-Dependent Stochastic Demand with Imperfect Item Under Rework
- Author
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Pal, Shilpi, Mahapatra, G. S., and Samanta, G. P.
- Published
- 2016
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50. Impact of COVID-19 on the imaging diagnosis of cardiac disease in Europe
- Author
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Williams, M, Shaw, L, Hirschfeld, C, Maurovich-Horvat, P, Norgaard, B, Pontone, G, Jimenez-Heffernan, A, Sinitsyn, V, Sergienko, V, Ansheles, A, Bax, J, Buechel, R, Milan, E, Slart, R, Nicol, E, Bucciarelli-Ducci, C, Pynda, Y, Better, N, Cerci, R, Dorbala, S, Raggi, P, Villines, T, Vitola, J, Malkovskiy, E, Goebel, B, Cohen, Y, Randazzo, M, Pascual, T, Dondi, M, Paez, D, Einstein, A, Nasery, M, Goda, A, Shirka, E, Benlabgaa, R, Bouyoucef, S, Medjahedi, A, Nailli, Q, Agolti, M, Aguero, R, Del Carmen Alak, M, Alberguina, L, Arronada, G, Astesiano, A, Norton, C, Benteo, P, Blanco, J, Bonelli, J, Bustos, J, Cabrejas, R, Cachero, J, Campisi, R, Canderoli, A, Carames, S, Carrascosa, P, Castro, R, Cendoya, O, Cognigni, L, Collaud, C, Cortes, C, Courtis, J, Cragnolino, D, Daicz, M, De La Vega, A, De Maria, S, Del Riego, H, Dettori, F, Deviggiano, A, Dragonetti, L, Embon, M, Enriquez, R, Ensinas, J, Faccio, F, Facello, A, Garofalo, D, Geronazzo, R, Gonza, N, Gutierrez, L, Guzzo, M, Hasbani, V, Huerin, M, Jager, V, Lewkowicz, J, De Munain, M, Lotti, J, Marquez, A, Masoli, O, Mastrovito, E, Mayoraz, M, Melado, G, Mele, A, Merani, M, Meretta, A, Molteni, S, Montecinos, M, Noguera, E, Novoa, C, Sueldo, C, Ascani, S, Pollono, P, Pujol, M, Radzinschi, A, Raimondi, G, Redruello, M, Rodriguez, M, Romero, R, Acuna, A, Rovaletti, F, Miguel, L, Solari, L, Strada, B, Traverso, S, Traverzo, S, Del Huerto Velazquez Espeche, M, Weihmuller, J, Wolcan, J, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Butler, P, Calcott, J, Carr, L, Chan, V, Chao, C, Chong, W, Dobson, M, Downie, D, Dwivedi, G, Elison, B, Engela, J, Francis, R, Gaikwad, A, Basavaraj, A, Goodwin, B, Greenough, R, Hamilton-Craig, C, Hsieh, V, Joshi, S, Lederer, K, Lee, K, Lee, J, Magnussen, J, Mai, N, Mander, G, Murton, F, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Pathmaraj, K, Pitman, A, Poulter, R, Premaratne, M, Prior, D, Ridley, L, Rutherford, N, Salehi, H, Saunders, C, Scarlett, L, Seneviratne, S, Shetty, D, Shrestha, G, Shulman, J, Solanki, V, Stanton, T, Stuart, M, Stubbs, M, Swainson, I, Taubman, K, Taylor, A, Thomas, P, Unger, S, Upton, A, Vamadevan, S, Van Gaal, W, Verjans, J, Voutnis, D, Wayne, V, Wilson, P, Wong, D, Wong, K, Younger, J, Feuchtner, G, Mirzaei, S, Weiss, K, Maroz-Vadalazhskaya, N, Gheysens, O, Homans, F, Moreno-Reyes, R, Pasquet, A, Roelants, V, Van De Heyning, C, Rios, R, Soldat-Stankovic, V, Stankovic, S, Siqueira, M, Almeida, A, Togni, P, Andrade, J, Andrade, L, Anselmi, C, Araujo, R, Azevedo, G, Bezerra, S, Biancardi, R, Grossman, G, Brandao, S, Pianta, D, Carreira, L, Castro, B, Chang, T, Cunali, F, Cury, R, Dantas, R, De Amorim Fernandes, F, De Lorenzo, A, De MacEdo Filho, R, Erthal, F, Fernandes, F, Fernandes, J, De Souza, T, Alves, W, Ghini, B, Goncalves, L, Gottlieb, I, Hadlich, M, Kameoka, V, Lima, R, Lima, A, Lopes, R, E Silva, R, Magalhaes, T, Silva, F, Mastrocola, L, Medeiros, F, Meneghetti, J, Naue, V, Naves, D, Nolasco, R, Nomura, C, Oliveira, J, Paixao, E, De Carvalho, F, Pinto, I, Possetti, P, Quinta, M, Ramos, R, Rocha, R, Rodrigues, A, Rodrigues, C, Romantini, L, Sanches, A, Santana, S, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Shiozaki, A, De Siqueira, M, Siqueira, C, Smanio, P, Soares, C, Soares, J, Bittencourt, M, Spiro, B, Mesquita, C, Torreao, J, Torres, R, Uellendahl, M, Monte, G, Verissimo, O, Cabeda, E, Pedras, F, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Kostadinova, I, Theng, Y, Abikhzer, G, Barette, R, Chow, B, Dabreo, D, Friedrich, M, Garg, R, Hafez, M, Johnson, C, Kiess, M, Leipsic, J, Leung, E, Miller, R, Oikonomou, A, Probst, S, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Canessa, J, Munoz, G, Concha, C, Hidalgo, P, Lovera, C, Massardo, T, Vargas, L, Abad, P, Arturo, H, Ayala, S, Benitez, L, Cadena, A, Caicedo, C, Moncayo, A, Gomez, S, Villamil, C, Jaimes, C, Londono, J, Blair, J, Pabon, L, Pineda, M, Rojas, J, Ruiz, D, Escobar, M, Vasquez, A, Vergel, D, Zuluaga, A, Gamboa, I, Castro, G, Gonzalez, U, Baric, A, Batinic, T, Franceschi, M, Hrabak, M, Jukic, M, Medakovic, P, Persic, V, Prpic, M, Punda, A, Batista, J, Lauchy, J, Gutierrez, Y, Menendez, R, Peix, A, Rochela, L, Panagidis, C, Petrou, I, Engelmann, V, Kaminek, M, Kincl, V, Lang, O, Simanek, M, Abdulla, J, Bottcher, M, Christensen, M, Gormsen, L, Hasbak, P, Hess, S, Holdgaard, P, Johansen, A, Kyhl, K, Ovrehus, K, Sand, N, Steffensen, R, Thomassen, A, Zerahn, B, Perez, A, Velez, G, Velez, M, Aziz, I, Abougabal, M, Ahmed, T, Allam, A, Asfour, A, Hassan, M, Hassan, A, Ibrahim, A, Kaffas, S, Kandeel, A, Ali, M, Mansy, A, Maurice, H, Nabil, S, Shaaban, M, Flores, A, Poksi, A, Knuuti, J, Kokkonen, V, Larikka, M, Uusitalo, V, Bailly, M, Burg, S, Deux, J, Habouzit, V, Hyafil, F, Lairez, O, Proffit, F, Regaieg, H, Sarda-Mantel, L, Tacher, V, Schneider, R, Ayetey, H, Angelidis, G, Archontaki, A, Chatziioannou, S, Datseris, I, Fragkaki, C, Georgoulias, P, Koukouraki, S, 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- Abstract
Objectives We aimed to explore the impact of the COVID-19 pandemic on cardiac diagnostic testing and practice and to assess its impact in different regions in Europe. Methods The online survey organised by the International Atomic Energy Agency Division of Human Health collected information on changes in cardiac imaging procedural volumes between March 2019 and March/April 2020. Data were collected from 909 centres in 108 countries. Results Centres in Northern and Southern Europe were more likely to cancel all outpatient activities compared with Western and Eastern Europe. There was a greater reduction in total procedure volumes in Europe compared with the rest of the world in March 2020 (45% vs 41%, p=0.003), with a more marked reduction in Southern Europe (58%), but by April 2020 this was similar in Europe and the rest of the world (69% vs 63%, p=0.261). Regional variations were apparent between imaging modalities, but the largest reductions were in Southern Europe for nearly all modalities. In March 2020, location in Southern Europe was the only independent predictor of the reduction in procedure volume. However, in April 2020, lower gross domestic product and higher COVID-19 deaths were the only independent predictors. Conclusion The first wave of the COVID-19 pandemic had a significant impact on care of patients with cardiac disease, with substantial regional variations in Europe. This has potential long-term implications for patients and plans are required to enable the diagnosis of non-COVID- 19 conditions during the ongoing pandemic.
- Published
- 2021
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