Pronounced and rapid exhumation of the Connecticut Valley Trough revealed through quartz in garnet Raman barometry and diffusion modeling of garnet dissolution‐reprecipitation reactions

2021 ◽  
Author(s):  
Oliver M. Wolfe ◽  
Frank S. Spear ◽  
T. Mark Harrison
Keyword(s):  
Diffusion Modeling ◽  
Connecticut Valley ◽  
And Diffusion

scholarly journals Biosorption and Diffusion Modeling of Pb(II) by Malt Bagasse

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Klaiani B. Fontana ◽  
Giane Gonçalves Lenzi ◽  
Erica R. L. R. Watanabe ◽  
Ervin Kaminski Lenzi ◽  
Juliana A. M. T. Pietrobelli ◽  
...  
Keyword(s):  
Sorption Process ◽  
Isotherm Models ◽  
Diffusion Modeling ◽  
Biosorption Capacity ◽  
Kinetic And Thermodynamic Parameters ◽  
Pseudo Second Order ◽  
Ph Optimization ◽  
Kinetics Of ◽  
And Diffusion

The removal of Pb(II) from water by biosorption processes onto malt bagasse was investigated and the kinetic and thermodynamic parameters were obtained; additionally a diffusion modeling was proposed. The characterization of malt bagasse was performed by FTIR and SEM/EDS. The experiments were conducted in batch system and an experimental design based response surface methodology was applied for agitation speed and pH optimization. The kinetics of biosorption followed pseudo-second-order model and the temperature of the process affected the biosorption capacity. Isotherm models of Langmuir, Freundlich, and Elovich were applied and the Langmuir model showed better fit and the estimated biosorption capacity was 29.1 mg g−1. The negative values obtained for ΔG° and positive values of ΔH° confirm, respectively, the spontaneous and endothermic nature of the process. The diffusion modeling was performed based on experiments in the absence of agitation to investigate the influence of the biosorbent on the sorption process of Pb(II) ions.

scholarly journals Developing an Internationalization Strategy Using Diffusion Modeling: The Case of Greater Amberjack

Fishes ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 12 ◽  
Author(s):  
Edwin Nijssen ◽  
Machiel Reinders ◽  
Athanasios Krystallis ◽  
Gemma Tacken
Keyword(s):  
Production Capacity ◽  
International Markets ◽  
Diffusion Modeling ◽  
Domestic Markets ◽  
Internationalization Strategies ◽  
Greater Amberjack ◽  
Internationalization Strategy ◽  
And Diffusion ◽  
New Fish Species ◽  
Viable Business

For farmers of new fish species, market adoption is needed in order to grow a viable business. Farmers may try to sell the new species in their firms’ domestic markets, but they might also look at other markets. However, as markets are becoming more global and competitors more international, considering internationalization may be a necessity rather than a choice. Using diffusion modelling, and based on results of an online supermarket experiment, the innovation and imitation parameters are estimated and diffusion curves for five countries predicted in an attempt to determine the best lead market for introducing fillets of farmed greater amberjack (Seriola dumerili). The production capacity consequences of implementing different internationalization strategies (i.e. “sprinkler” and “waterfall”) were also explored. A waterfall strategy refers to the sequential introduction of a product in different markets, whereas the sprinkler strategy concerns the simultaneous introduction of a product in multiple international markets. Since a sprinkler approach requires many resources and the ability to quickly ramp up production capacity, a waterfall approach appears more suitable for farmers of greater amberjack. Italy and Spain appear to be the best lead markets for greater amberjack farmers to enter first.

Adsorption kinetics and diffusion modeling of CH4 and CO2 in Indian shales

Fuel ◽  
2018 ◽  
Vol 216 ◽  
pp. 61-70 ◽  
Author(s):  
Sneha Rani ◽  
Basanta K. Prusty ◽  
Samir K. Pal
Keyword(s):  
Adsorption Kinetics ◽  
Diffusion Modeling ◽  
And Diffusion

Utility of Diffusion Modeling of Cogstate Brief Battery Test Performance in Detecting Mild Cognitive Impairment

Assessment ◽  
2022 ◽  
pp. 107319112110690
Author(s):  
Kyler Mulhauser ◽  
Bruno Giordani ◽  
Voyko Kavcic ◽  
L. D. Nicolas May ◽  
Arijit Bhaumik ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Test Performance ◽  
Drift Rate ◽  
Cognitive Testing ◽  
Diffusion Modeling ◽  
Testing Data ◽  
Recognition Learning ◽  
And Diffusion ◽  
Normal Cognition

Cognitive testing data are essential to the diagnosis of mild cognitive impairment (MCI), and computerized cognitive testing, such as the Cogstate Brief Battery, has proven helpful in efficiently identifying harbingers of dementia. This study provides a side-by-side comparison of traditional Cogstate outcomes and diffusion modeling of these outcomes in predicting MCI diagnosis. Participants included 257 older adults (160 = normal cognition; 97 = MCI). Results showed that both traditional Cogstate and diffusion modeling analyses predicted MCI diagnosis with acceptable accuracy. Cogstate measures of recognition learning and working memory accuracy and diffusion modeling variable of decision-making efficiency (drift rate) and nondecisional time were most predictive of MCI. While participants with normal cognition demonstrated a change in response caution (boundary separation) when transitioning tasks, participants with MCI did not evidence this change.

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