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- 저자 : Santosh Kumar Sahu (검색결과 4 건)
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DECOMPOSITION ANALYSIS OF GHG EMISSIONS IN EMERGING ECONOMIES
SANTOSH KUMAR SAHU,SUMEDHA KAMBOJ 중앙대학교 경제연구소 2019 Journal of Economic Development Vol.44 No.3
We employ decomposition analysis to identify factors driving inter-region/inter-country variations in CO2 emissions. At the regional level, we have selected the ASEAN, BRICS and South Asia and at the country level we study the case of India and China. In addition to the decomposition analysis, we also validate the EKC hypothesis using different econometric forms. Based on the results of the decomposition analysis, we conclude that countries/regions do not show a similar behavior however, EKC hypothesis is validated at both regional and country levels. We fail to arrive at common determinants of emission at inter-regional/country levels. The policy implication of our study suggests that a macro level emissions reduction policy is bleak and individual countries have to be accommodated for their idiosyncrasies. From the analysis of EKC hypothesis, we infer that that CO2 emissions follow a linear trend and validate the EKC hypothesis.
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Santosh Kumar Sahu,P. S. Rama Sreekanth 한국고분자학회 2022 폴리머 Vol.46 No.5
The mechanical performance of the nanocomposite depends on the processing conditions of the samples. Therefore a predictive model is essential to proceed the combination of processing conditions into account, for accurately predicting the mechanical properties is a critical requirement in manufacturing industries. The current investigation explores the prediction of mechanical properties of high-density polyethylene (HDPE)-based nano-diamond nanocomposite (i.e., HDPE/0.1 ND) using an artificial neural network (ANN) model under various processing conditions of temperature and pressure. A 2-10-2 (2 input, 10 hidden and 2 output layer) neural network model with Levenberg–Marquardt algorithm is developed to predict Young's modulus and Hardness of HDPE/0.1 ND nanocomposite. The model accurately predicted Young's modulus and hardness with a correlation coefficient of more than 0.99. The root means square error (r.m.s) of experimental vs. predicted value is minimal, confirming the proposed ANN model's high reliability and accuracy.
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Gupta, Sonal,Kumar, Raj,Satpati, Santosh K.,Sahu, Manharan L. Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.6
Uranium ingot is produced by metallothermic reduction of uranium tetrafluoride using magnesium or calcium as reductant. Presence of oxygen containing compounds viz. uranyl fluoride and uranium oxide in the starting uranium fluoride has a significant effect on the firing time, final temperature of the charge, slag-metal separation and hence the metal recovery. As reported in the literature, the maximum tolerable limit for uranyl fluoride in the UF<sub>4</sub> is 2.5 wt% and limit for uranium oxide content is in the range 2-3 wt%. No theoretical or experimental basis is available till date for these limits. Analyses have been carried out in this study to understand the effect of UO<sub>2</sub>F<sub>2</sub> concentration in the starting fluoride on the final temperature of the products and thus the reduction characteristics. UF<sub>4</sub> having uranyl fluoride concentration, less than as well as more than 2.5 wt%, have been investigated. Thermodynamic calculations have been carried out to arrive at a general expression for the final temperature attained by the products during calciothermic reduction of UF<sub>4</sub>. Finally, an upper limit for the oxygen containing impurities has been estimated using the CaO-CaF<sub>2</sub> phase diagram.
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Pharmacognostic and pharmacological perspectives of Leea macrophyla roxb.
Padmaja Kota,Prafulla Kumar Sahu,Mary Sulakshana Palla,Jagadeesh Panda,Prasanth Damarasingu,Santosh Kumar Ranajit 경희대학교 융합한의과학연구소 2023 Oriental Pharmacy and Experimental Medicine Vol.23 No.4
The proposed work on Leea macrophyla Roxb (family: Leeaceae) is mainly focused on two different streams, first towards the pharmacognostic profile and second on pharmacological evaluation. The pharmacognostic profile involves the study of both macroscopy and microscopy of leaf, stem, and tuberous roots. Secondly, extract of adventitious tuberous roots of the plant was used for pharmacological screening of anti-inflammatory (in-vivo), antimicrobial (in-vitro), and antioxidant (in-vitro) potential. Morphologically, it is observed that L. macrophyla is an herb with erect stem, broadly ovate leaf with greenish-white inflorescence. Microscopically, the leaf can be characterized by anisocytic stomata, calcium oxalate crystals, and the absence of trichomes. The typical characteristics of the stem include outer thick ridges, secondary phloem, medullary rays, and pith. The rhizomes contain the outer epidermis is replaced with dark crushed cells, central pith, and disintegrated parenchymatous cells.The extract exhibited excellent anti-inflammatory potency in carrageenan-induced rat paw edema. Antimicrobial activity was involved cup plate technique against gram-positive, gram-negative, and fungal organisms. The study observed good inhibitory activity against S. aureus (15 ± 0.15 mm), B. subtilis (14 ± 0.13 mm), and E. coli (15 ± 0.16 mm). 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay and hydroxyl radical scavenging method was used to explore antioxidant potential against ascorbic acid as standard. The IC50 values obtained from the antioxidant potency were observed to be 18 ± 0.33, 12 ± 0.66% for DPPH and hydroxyl radical scavenging assay respectively. As L. macrophyla with assumption on the traditional curative assurance, it shows significant anti-inflammatory, antibacterial and antioxidant potency.
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