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Indian Coal Washing industry is still dependent on imported equipment, which has been designed to treat coal that is significantly different from Indian coal of drift origin.Coal Washing Exploration in India dates back to 1900s; though, first coking coal washeries in India were installed after independence. Even after six decades of coal washing practices, there has not been significant development in the coal washing intelligentsia. At present, most of the coking coal washeries are owned by Public Sector Companies; whereas, most of the non-coking coal washeries are owned by Private Sector. In this paper, authors have ventured into evolution of Indian Coal Washing Industry (with a focus on coking coal washing sector), its present condition and future prospect for growth. The paper emphasizes need for developing indigenous solutions to industrial challenges and highlights importance of increased coordination among academia-research institutions and coal industry.
In particular, this proposal optimizes the flow of materials derived from construction activities (RA) to their use as a substitute for NA. The Regional Plan of Extractive Activities (Piano Regionale Attività Estrattive (PRAE))  does not identify any initiative aimed at limiting the extraction of NA. Despite lacking means for the import and export of CDW in Sardinia, the use of certified RA for the construction of public and private works, is possible. This production rate is significantly lower than the national average of approximately 900 kg/inhabitant/year .According to the Regional Waste Management Plan (Piano Regionale Gestione Rifiuti (PRGR)), Sardinia has a per capita CDW production rate of approximately 670 kg/inhabitant/year. However, this policy still does not cover the recycling of materials. Although these plans are closely related, there are no initiatives with a unified and sustainable vision for the territory. The region of Sardinia has proven to be sensitive to the problem of proper management of the materials produced in CDW by adopting the PRGR. As such, the authors intend to outline a proposal for orienting initiatives towards the concept: less quarrying, less landfill.
It therefore has potential for biomedical diffusion imaging applications at 7T and above where T is short. Retrospectively correcting the analysis with a calculation of the full B matrix can partly correct for these confounds, but an acquisition that is compensated as proposed is needed to remove the effect entirely. The compensation is simple to implement by adjusting the gradient vectors in the diffusion pulses of the STEAM sequence, so that the net effective gradient vector including contributions from diffusion and other gradient pulses is as the experiment intends. High angular resolution diffusion imaging (HARDI) data were acquired with and without the proposed compensation. Ignoring the other gradient pulses, a bias in DTI parameters from STEAM acquisition is found, due both to confounds in the analysis and the experiment design. However, gradient pulses other than the diffusion gradients in the STEAM sequence contribute much greater diffusion weighting than in PGSE and lead to a disrupted experimental design.Stimulated echo acquisition mode (STEAM) diffusion MRI can be advantageous over pulsed-gradient spin-echo (PGSE) for diffusion times that are long compared with T. Here, we introduce a simple compensation to the STEAM acquisition that avoids the orientational bias and disrupted experiment design that these gradient pulses can otherwise produce. The data were processed to derive standard diffusion tensor imaging (DTI) maps, which highlight the need for the compensation. © 2014 The Authors.
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