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Effect of Electric Field on Energy States of Electrons in Spherical Parabolic Quantum Dots
Bose,C.,Chakraborty,C.,Sarkar,C. K. 대한전자공학회 1997 ICVC : International Conference on VLSI and CAD Vol.5 No.1
An attempt is made to estimate the electric field induced shifts in electronic states in a spherical quantum dot (QD) with an isotropic parabolic potential (PP) by using a perturbation method. The results, computed for GaAs QD, shows that the electric field lowers the energy levels. The field induced energy shift is found to be the same for all levels, and also larger far a larger dot.
In vivo evaluation of anti-diarrheal activity of the rhizome of Nymphaea alba (Nymphaeaceae)
Bose, Anindya,Sahoo, Moumita,Ray, Sarbani Dey 경희한의학연구센터 2012 Oriental Pharmacy and Experimental Medicine Vol.12 No.2
Ethanol extract of the of rhizome of Nymphaea alba, at graded doses was investigated for anti-diarrhoeal activity in term of reduction in the rate of defecation in castor oil induced diarrhoea and anti-inflammatory activity in term of reduction in inflammation of rat paw. To understand the mechanism of its anti-diarrhoeal activity, its effect was further evaluated on intestinal transit and castor oil induced intestinal fluid accumulation (enteropooling). At various doses (100 & 200 mg/kg body weight) the extract showed a remarkable anti-diarrhoeal activity evidenced by the reduction in the rate of defecation. Results are comparable to that of standard drug diphenoxylate (5 mg/kg body weight). A single oral dose of N. alba extract of 100 mg/kg body weight produced a significant decrease in the severity of diarrhoea. Extract produced profound decrease in intestinal transit (25.73 and 37.29%) also significantly inhibited castor oil induced enteropooling comparable to that of intraperitoneal injection of standard drug atropine sulphate at doses of 0.1 mg/kg body weight and loperamide at 5 mg/kg body weight respectively. Results indicate N. alba possess significant anti-diarrhoeal activity and may be a potent source of anti-diarrhoeal drug in future. But the extract did not show anti-inflammatory activity.
A note on the perimeter of fat objects
Bose, P.,Cheong, O.,Dujmovic, V. Elsevier 2011 Computational Geometry Vol.44 No.1
In this Note, we show that the size of the perimeter of (α,β)-covered objects is a linear function of the diameter. Specifically, for an (α,β)-covered object O, per(O)=<cdiam(O)αβsin<SUP>2</SUP>α, for a positive constant c. One easy consequence of the result is that every point on the boundary of such an object sees a constant fraction of the boundary. Locally γ-fat objects are a generalization of (α,β)-covered objects. We show that no such relationship between perimeter and diameter can hold for locally γ-fat objects.
Bose, L.K.,Mohanty, A.,Kar, M.K.,Nagaraju, M. The Korean Society of Crop Science 2004 Korean journal of crop science Vol.49 No.2
Twenty-one lowland rice genotypes were evaluated for their stability parameters with respect to grain yield in a multi locational trial at five different sites of Eastern India viz. CRRI, Cuttack (Orissa); OUAT, Bhubaneswar (Orissa); CRS, Masodha (UP); RAU, Pusa (Bihar) and RARS, North Lakhimpur (Assam). Pooled analysis of variance reflects existence of genotype x environment interactions and contribution of both linear and nonlinear components to genotype (G) x environment (E) interactions. Through stability parameter analysis it was found that Rayda $\textrm{B}_3$, CR 778-95 and CR 661-236 were suitable for over all environments where as Sabita, OR 1334-16 and OR 1358-RGA-4 were suitable for rich environments. PSR 1209-2-3-2, CR 780-1937, Ambika, OR 877-ST-4-2 and CR 662-2211 were identified for poor environments.
Bose L. K.,Pradhan S. K.,Mohanty A.,Nagaraju M. The Korean Society of Crop Science 2005 Korean journal of crop science Vol.50 No.4
A study on genetic variability and association of yield attributing characters with grain yield was carried out using 35 deepwater rice genotypes. High genotypic co-efficient of variation (GCV) was observed for plot yield, $EBT/m^2$, plant height and days to $50\%$ flowering (DFF). For all the traits, estimates of the phenotypic co-efficient of variation (PCV) were higher than GCV, indicating presence of environmental influence. High heritability and genetic advance was observed for plot yield, $EBT/m^2$ and plant height. Plot yield had significant positive association with test weight, $EBT/m^2$ and DFF. However, test weight had the maximum direct effect on grain yield
Bose, P.,Reddy, J.N. Techno-Press 1998 Structural Engineering and Mechanics, An Int'l Jou Vol.6 No.6
A unified third-order laminate plate theory that contains classical, first-order and third-order theories as special cases is presented. Analytical solutions using the Navier and L$\acute{e}$vy solution procedures are presented. The Navier solutions are limited to simply supported rectangular plates while the L$\acute{e}$vy solutions are restricted to rectangular plates with two parallel edges simply supported and other two edges having arbitrary combination of simply supported, clamped, and free boundary conditions. Numerical results of bending and vibration for a number of problems are discussed in the second part of the paper.
BOSE N.,RAGHAVAN I. The Korean Society of Automotive Engineers 2005 International journal of automotive technology Vol.6 No.2
Diesel engines have low specific fuel consumption, but high particulate emissions, mainly soot. Diesel soot is suspected to have significant effects on the health of living beings and might also affect global warming. Hence stringent measures have been put in place in a number of countries and will be even stronger in the near future. Diesel engines require either advanced integrated exhaust after treatment systems or modified engine models to meet the statutory norms. Experimental analysis to study the emission characteristics is a time consuming affair. In such situations, the real picture of engine control can be obtained by the modeling of trend prediction. In this article, an effort has been made to predict emissions smoke and NO$_{x}$ using cylinder combustion derived parameters and diesel particulate filter data, with artificial neural network techniques in MATLAB environment. The model is based on three layer neural network with a back propagation learning algorithm. The training and test data of emissions were collected from experimental set up in the laboratory for different loads. The network is trained to predict the values of emission with training values. Regression analysis between test and predicted value from neural network shows least error. This approach helps in the reduction of the experimentation required to determine the smoke and NO$_{x}$ for the catalyst coated filters.