142 research outputs found
Replication Data for: Bird’s Decision to Shift the Direction of Migration Path Depends on the Position of Sun as well as Moon: A Directional Statistical Inference
No full textDataset for: Bird’s Decision to Shift the Direction of Migration
Path Depends on the Position of the Sun as well as Moon:
A Directional Statistical Inference
(Author: Prithwish Ghosh, Debashis Chatterjee, Amlan Banerjee
Pritam Banerjee, Debashis Chakraborty et Dipankar Sengupta, Dir., Beyond The Transition Phase Of WTO - An Indian Perspective On Emerging Issues, New Delhi, Academic Foundation, 2006
No full textBalmelli Tiziano. Pritam Banerjee, Debashis Chakraborty et Dipankar Sengupta, Dir., Beyond The Transition Phase Of WTO - An Indian Perspective On Emerging Issues, New Delhi, Academic Foundation, 2006. In: Revue Québécoise de droit international, volume 21-2, 2008. pp. 471-477
Performance of Vibration Based Damage Detection Algorithms for Detection of Disbond in Stiffened Metallic Plates
No full textAbstractThough vibration based health monitoring has been the focus of attention for quite some time, there exist a strong requirement for an extensive and comprehensive study on the relative performance of different damage detection algorithms under different damage scenarios. To fulfill this objective, a stiffened aluminium plate has been selected to make a comparative study on the performance of several vibration based damage detection techniques, namely, Modal Curvature, Gapped Smoothing Method/Modal Curvature, Generalized Fractal Dimension and Uniform Load Surface Curvature based on four different criteria: variation of damage intensity (i.e., disbond length), position of stiffener and disbond, the effect of noise and capability to detect multiple damage. In addition to this, a new approach, based on the curvature of wavelet coefficients, has been presented. It is found that this novel approach is extremely effective in determining the presence and location of damage under different situations. The entire numerical modelling is done in ANSYS 14.0 and the damage detection algorithms written in MATLAB codes have been used to generate the required damage indices using the modal data retrieved from ANSYS. The study ultimately enlightens inherent characteristics of the various damage detection algorithms under different damage conditions
Carboxymethyl Cellulose–Xylan Hydrogel: Synthesis, Characterization, and in Vitro Release of Vitamin B<sub>12</sub>
No full textThe
current work reports the synthesis of carboxymethyl cellulose
(CMC) and xylan-based homopolymerized as well as copolymerized hydrogels
using an ethylene glycol diglycidyl ether cross-linker in alkaline
medium. The hydrogels are physically characterized by the swelling
ratio and gel fraction. The morphological observation of hydrogels
reveals the porous structure for the copolymerized gels. The rheological
behavior of the gels elaborates that the copolymerized CMC–xylan
gel synthesized in a 1:1 molar ratio has superior strain-bearing ability
and possesses the shortest gelation temperature and time. Vitamin
B12 here is used as the model vitamin to be loaded in the
hydrogels and subsequent studies involving the in vitro release in
artificial gastric fluid (AGF, pH = 1.2), artificial intestinal fluid
(AIF, pH = 6.8), and phosphate-buffered saline (PBS, pH = 7.4). The
synthesized gels show a cumulative release of 19–28% in AGF,
80–88% in AIF, and 93–98% in PBS, independently. Further,
the highest cumulative release of 93–99% is recorded for all
gels when in vitro release is performed in successive buffers, that
is, first in AGF, followed by AIF and PBS
Multicomponent Vapor–Liquid–Liquid Equilibrium Prediction Using an a Priori Segment Based Model
No full textSolvation and Solvatochromism: An Overview
No full text472-481Different examples of solvatochromic shifts are shown and the theory that explain the non-specific general solvent
effects are discussed here. The use of solvatochromic shifts for the determination of excited state dipole moment has been
presented in detail in connection with a brief overview of different solvent polarity functions. The lack of proper theoretical
expressions to explain the specific solvent effect stimulates to introduce the concept of “empirical measures of solvent
polarity”, based on well known, convenient, solvent sensitive model processes. Various solvent sensitive polarity probes are
discussed in this context. So far as quantitative estimation of various parameters responsible for the observed
solvatochromic shifts are concerned, introduction of multiparameter approaches, its application in recent years has been
carefully analyzed. The review also focuses some of the recent developments on the theoretical calculations of various
solute-solvent interaction parameters based on quantum mechanical approaches. This issue solvation interaction by the use
of mixed solvents has been discussed in detail, starting from the early development of the theories related to preferential
solvation to the recent scenario, with a critical survey on the application of the concept of preferential solvation in the
solubilization of drugs, polymers considering the emerging ‘green approach’ in recent years
Adaptive RF Front-end Design via Self-discovery: Using Real-time Data to Optimize Adaptation Control
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No full textMotivation: The analysis of gene expression data in its chromosomal context has been a recent development in cancer research. However, currently available methods fail to account for variation in the distance between genes, gene density, and genomic features (e.g. GC content) in identifying increased or decreased chromosomal regions of gene expression. Results: We have developed a model-based scan statistic that accounts for these aspects of the complex landscape of the human genome in the identification of extreme chromosomal regions of gene expression. This method may be applied to gene expression data regardless of the microarray platform used to generate it. To demonstrate the accuracy and utility of this method, we applied it to a breast cancer gene expression dataset and tested its ability to predict regions containing medium to high level DNA amplification (DNA ratio values> 2). A classifier was developed from the scan statistic results that had a ten-fold cross-validated classification rate of 93 % and a positive predictive value of 88%. This result strongly suggests that the model-based scan statistic and the expression characteristics of an increased chromosomal region of gene expression can be used to accurately predict chromosomal regions containing amplified genes. Availability: Functions in the R-language are available from the author upon request. Contact
Numerical simulation of transmission coefficient using c-number Langevin equation
No full textWe numerically implement the reactive flux formalism on the basis of a recently proposed c-number Langevin equation [Barik et al., J. Chem. Phys. 119, 680 (2003); Banerjee et al., Phys. Rev. E 65, 021109 (2002)] to calculate transmission coefficient. The Kramers' turnover, the T2 enhancement of the rate at low temperatures and other related features of temporal behavior of the transmission coefficient over a range of temperature down to absolute zero, noise correlation, and friction are examined for a double well potential and compared with other known results. This simple method is based on canonical quantization and Wigner quasiclassical phase space function and takes care of quantum effects due to the system order by order
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