New developments of activated carbons for evaporative loss control devices (ELCD)

Author(s):  
W.M.T.M Reimerink ◽  
J.D. MacDowall ◽  
D.v.d. Kleut
2020 ◽  
Vol 10 (1) ◽  
pp. 1-25
Author(s):  
Svetlana Veretekhina ◽  
Vladimir Gorbachenko

Avatar-based natural neural network (A-B Triple N) is widely used in modern industry created by Prof. Vardan Mkrttchian. The A-B Triple N is a dynamic virtual model of a system, process or service. The A-B Triple N continuously learns and updates its parameters, receiving information from a variety of sensors, correctly representing the state of a biophysical object. When learning, they use current data from sensors, control devices, and from the external bio environment combining actual data with the knowledge gained from specialists in this field. A-B Triple Ns allow you to monitor systems and processes in real time and analyze data in a timely manner to prevent problems before they occur, schedule preventive maintenance, reduces downtime, opens up new business opportunities and plans future updates and new developments.


2009 ◽  
Vol 90 (11) ◽  
pp. 1360-1363 ◽  
Author(s):  
Edwin S. Olson ◽  
Alexander Azenkeng ◽  
Jason D. Laumb ◽  
Robert R. Jensen ◽  
Steven A. Benson ◽  
...  

Author(s):  
P.A. Crozier ◽  
M. Pan

Heterogeneous catalysts can be of varying complexity ranging from single or double phase systems to complicated mixtures of metals and oxides with additives to help promote chemical reactions, extend the life of the catalysts, prevent poisoning etc. Although catalysis occurs on the surface of most systems, detailed descriptions of the microstructure and chemistry of catalysts can be helpful for developing an understanding of the mechanism by which a catalyst facilitates a reaction. Recent years have seen continued development and improvement of various TEM, STEM and AEM techniques for yielding information on the structure and chemistry of catalysts on the nanometer scale. Here we review some quantitative approaches to catalyst characterization that have resulted from new developments in instrumentation.HREM has been used to examine structural features of catalysts often by employing profile imaging techniques to study atomic details on the surface. Digital recording techniques employing slow-scan CCD cameras have facilitated the use of low-dose imaging in zeolite structure analysis and electron crystallography. Fig. la shows a low-dose image from SSZ-33 zeolite revealing the presence of a stacking fault.


2013 ◽  
Vol 23 (2) ◽  
pp. 49-61 ◽  
Author(s):  
Jamie Perry ◽  
Graham Schenck

Despite advances in surgical management, it is estimated that 20–30% of children with repaired cleft palate will continue to have hypernasal speech and require a second surgery to create normal velopharyngeal function (Bricknell, McFadden, & Curran, 2002; Härtel, Karsten, & Gundlach, 1994; McWilliams, 1990). A qualitative perceptual assessment by a speech-language pathologist is considered the most important step of the evaluation for children with resonance disorders (Peterson-Falzone, Hardin-Jones, & Karnell, 2010). Direct and indirect instrumental analyses should be used to confirm or validate the perceptual evaluation of an experienced speech-language pathologist (Paal, Reulbach, Strobel-Schwarthoff, Nkenke, & Schuster, 2005). The purpose of this article is to provide an overview of current instrumental assessment methods used in cleft palate care. Both direct and indirect instrumental procedures will be reviewed with descriptions of the advantages and disadvantages of each. Lastly, new developments for evaluating velopharyngeal structures and function will be provided.


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