2,904 research outputs found
Strategies to mitigate secondary salinization in the Indus Basin of Pakistan: a selective review
Salinity control / Water table / River basins / Irrigation management / Water quality / Irrigation practices / Drainage / Sodic soils / Pakistan
Soil salinity-sodicity and land use suitability in the Fordwah Eastern Sadiqia (South) irrigated area
Soil salinity / Sodic soils / Soil classification / Soil surveys / Soil analysis / Groundwater development / Water table / Water quality / Land use / Irrigation canals / Farmer participation / Surface drainage / Subsurface drainage / Soil reclamation / Waterlogging / Pakistan / Fordwah Eastern Sadiqia / Bahawalnagar District
Branching Ratio and CP-asymmetry for B-> 1^{1}P_{1}gamma decays
We calculate the branching ratios for B_{d}^{0}->(b_{1},h_{1})gamma at
next-to-leading order (NLO) of alpha_{s} where b_{1} and h_{1} are the
corresponding radially excited axial vector mesons of rho and omega
respectively. Using the SU(3)symmetry for the form factor, the branching ratio
for B_{d}^{0}->(b_{1},h_{1})gamma is expressed in terms of the branching ratio
of the B_{d}^{0}-> K_{1}gamma and it is found to be
B(B_{d}^{0}->b_{1}gamma)=0.71* 10^{-6} and B(B_{d}^{0}-> h_{1}gamma)
=0.74*10^{-6}. We also calculate direct CP asymmetry for these decays and find,
in confirmity with the observations made in the literature, that the hard
spectator contributions significantely reduces the asymmetry arising from the
vertex corrections alone. The value of CP-asymmetry is 10% and is negative like
rho and omega in the Standard Model.Comment: 10 pages, 2 figure
Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence
The main objective of the present work is to develop a framework for modelling and controlling of a real world multi-input and multi-output (MIMO) continuously drifting metallurgical process, which is shown to be a complex system. A small change in the properties of the charge composition may lead to entirely different outcome of the process. The newly emerging paradigm of soft-computing or Hybrid Computational Intelligence Systems approach which is based on neural networks, fuzzy sets, genetic algorithms and chaos theory has been applied to tackle this problem In this framework first a feed-forward neuro-model has been developed based on the data collected from a working Submerged Arc Furnace (SAF). Then the process is analysed for the existence of the chaos with the chaos theory (calculating indices like embedding dimension, Lyapunov exponent etc). After that an effort is made to evolve a fuzzy logic controller for the dynamical process using combination of genetic algorithms and the neural networks based forward model to predict the system’s behaviour or conditions in advance and to further suggest modifications to be made to achieve the desired results
Paspalum notatum Grass-waste-based Adsorbent for Rhodamine B Removal from Polluted Water
The potential of Paspalum notatum grass waste to adsorb Rhodamine B dye from aqueous phase is reported in this research. The grass waste was activated and characterized through various techniques to analyze the chemical (FTIR), morphological (SEMEDX), and thermal (TGA) changes incorporated through the activation process. The pollutant removal efficiency of the raw and modified adsorbents was studied by varying different process parameters in a batch process. The maximum capacity of adsorption which was observed for grass waste and activated grass waste was 54 mg g–1 and 72.4 mg g–1 respectively. Among the various kinetic models, the pseudo-second order model gives the best regression results. However, the intraparticle diffusion-adsorption model showed that the diffusion within pores controlled the adsorption rate. Thermodynamic analysis of this process revealed that Rhodamine B adsorption was endothermic and spontaneous in nature. The results of this study show that grass waste has the potential to be used as an adsorbent for the treatment of colored water.
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