Comment on ‘‘Coastal Caves in Bahamian Eolian Calcarenites: Differentiating Between Sea Caves and Flank Margin Caves Using Quantitative Morphology’’

http://deepblue.lib.umich.edu/bitstream/2027.42/91287/1/Curl_JCKS_Comment-2011.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/91287/3/Curl-Permissions_Letter.pd

Carbonate Chemistry of Aquatic Systems, by R. E. Loewenthal and G. v. R. Marais, Ann Arbor Science, 433 pp + xi, $22.50

No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37380/1/690250328_ftp.pd

Bayesian estimation of isotopic age differences

Isotopic dating is subject to uncertainties arising from counting statistics and experimental errors. These uncertainties are additive when an isotopic age difference is calculated. If large, they can lead to no significant age difference by “classical” statistics. In many cases, relative ages are known because of stratigraphic order or other clues. Such information can be used to establish a Bayes estimate of age difference which will include prior knowledge of age order. Age measurement errors are assumed to be log-normal and a noninformative but constrained bivariate prior for two true ages in known order is adopted. True-age ratio is distributed as a truncated log-normal variate. Its expected value gives an age-ratio estimate, and its variance provides credible intervals. Bayesian estimates of ages are different and in correct order even if measured ages are identical or reversed in order. For example, age measurements on two samples might both yield 100 ka with coefficients of variation of 0.2. Bayesian estimates are 22.7 ka for age difference with a 75% credible interval of [4.4, 43.7] ka.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43196/1/11004_2004_Article_BF00890585.pd

Note on light transmission through a polydisperse dispersion

No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37371/1/690200130_ftp.pd

Dispersed phase mixing effects on second moments in dominantly first-order, backmix reactors

An idealized model for dispersed phase mixing is used to find the relative rates of A + A, B + B and A + B reactions when the reaction A [right harpoon over left] B is dominant, first order and reversible. A large possible effect of mixing on the A + A reaction is demonstrated, while the effect on B + B on A + B is never greater than a factor of two.The results are applicable to estimating the effect of mixing on second order by-product reactions which are important when present to a small extent. In addition, this represents the first analytical solution to the mixing-reaction equation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/33357/1/0000755.pd

Direct thermomagnetic splitting of water

The application of a magnetic field to water tends to cause its decomposition into hydrogen and oxygen. Based upon the thermomagnetochemistry of the phenomenon, a process is suggested for carrying out the reaction and separating the product hydrogen and oxygen. The process would have nearly Carnot efficiency, although the requisite magnetic field (~ 104 tesla) is not at present attainable.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/23655/1/0000621.pd

Accuracy in residence time measurements

No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37343/1/690120439_ftp.pd

Morphology of Tjoarvekrajgge, the longest cave of Scandinavia

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69256/1/FinnesandCurl_2009.pd

Comment on mean residence time in flow systems

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25934/1/0000497.pd

Dynamics and control of quasirational systems

Systems having transfer functions of the form documentclass{article}pagestyle{empty}begin{document}$$G_P (s) = frac{{P_1 (s) - P_2 (s)e^{ - t_d s} }}{{Q(s)}},$$end{document} where P 1 ( s ), P 2 ( s ) and Q ( s ) are polynomials, are called quasirational distributed systems (QRDS). They are encountered in processes modeled by hyperbolic partial differential equations. QRDS can have an infinity of right half-plane zeros which causes large phase lags and can result in poor performance of the closed-loop system with PID controllers. Theory on the asymptotic location of zeros of quasipolynomials is used to predict the nonminimum phase characteristics of QRDS and formulas are presented for factoring QRDS models into minimum and non-minimum phase elements. A generalized Smith predictor controller design procedure for QRDS, based on this factorization, is derived. It uses pole placement to obtain a controller parameterization that introduces free poles which are selected to satisfy robustness specifications. The use of pole placement allows for the design of robust control systems in a transparent manner. Controller selection is generally better, simpler and more direct with this procedure than searching for optimal PID controller settings.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37408/1/690350615_ftp.pd