the solvent extraction of gallium from a concentrated jajarm bayer process liquor containing 164.90 g/l of na2o, 86.70 g/l of al2o3 and 106.02 ppm of gallium was investigated using 10 vol.% kelex100, a 7-alkyl substituted-8 hydroxyquinoline as an extractant, 10 vol.% etanol as a modifier and kerosene as a diluent. at (vo :va = 1.0:1.0) organic to aqueous phase ratio and at room temperature, 93....

operating parameters and membrane characteristics strongly affect the performance of electrodialysis reversal systems. the most impactful factors are applied voltage, flow rate, temperature, initial feed composition, and ion exchange membrane characteristics; the ph of the feed also has an effect, although to a lesser extent. to determine more precisely how all of these factors impact performan...

the abrasion is a significant issue, especially in machining of rigid steels. a functional and suitable approach for enhancing the heat transfer from machining area is using an intermediate fluid with higher heat transfer potential instead of common fluids. the objective of this experimental study is to discuss production, stability and thermal conductivity examination of water/graphene oxide n...

d: m.a. of business management. university of isfahan . [email protected] e: isfahan university of medical sciences , [email protected] knowledge as one of the greatest factors in creating value and competitive advantage, has led organizations to show great tendency toward programs of knowledge management. understanding the relationship between infrastructural capabilities and process c...

in this paper at rst, a history of mathematical models is given.next, some basic information about random variables, stochastic processesand markov chains is introduced. as follows, the entropy for a discrete timemarkov process is mentioned. after that, the entropy for sis stochastic modelsis computed, and it is proved that an epidemic will be disappeared after a longtime.

Many defense and security applications involve the detection of a dynamic process. A process model describes the state transitions of an object, which evolves in time according to specific know laws. Given a process model, the process detection problem is to identify the existence of such a process in large amount of observation data. While Hidden Markov Models (HMMs) are widely used to charact...

Business processes present business logic of enterprises and or web services. In current Internet based dynamic business environment, business logic and resource allocation may have to change more frequently than before to match various business conditions in time. Business process deployment is a very costly procedure. It is desirable that a business process reengineering action could be verif...

The features like optimized utilization of remotely available resources and dynamic load-balancing provide significant enhancements in overall system performance in distributed systems. These features may be implemented by applying the dynamic process migration mechanism in which an executing process is migrated from a highly loaded workstation to some lightly loaded workstation in the distribu...

An important step to improving processes is first understanding them. I report here a case study in process understanding using the process modeling language Interact. I illustrate both the language and the process iteratively, somewhat in the way it might actually be done, and then provide the completed model. I close with lessons to be drawn from this study about understanding and improving p...

The Inequality Process (IP) is a competition process that models the dynamics of personal income and wealth at the micro (individual person) and macro (distribution) levels. At the micro level, it is a particle system. It has a macro model in terms of the parameters of the micro model, a gamma pdf that approximates the stationary distribution of the micro model. Randomly paired particles compet...