How Rough Is Your State?

1995 ◽  
Vol 88 (3) ◽  
pp. 188-190
Author(s):  
William W. Bosch ◽  
Karen M. Devine ◽  
John C. Petherick ◽  
Eldon C. Wellman
Keyword(s):  
Mathematical Modeling ◽  
Preservice Teachers ◽  
West Virginia ◽  
The State ◽  
Lively Discussion ◽  
Land Mass ◽  
State Frequency

Do you think the land mass of your state is rough? Is West Virginia rough? Colorado? Is Colorado rougher than West Virginia? When these questions were posed to a university class in mathematical modeling for preservice teachers, a lively discussion ensued. Various definitions for roughness or rugged-ness were advanced and debated. Most of these definitions or measures involved some aspect of altitude change, such as maximum altitude differences within the state; frequency of altitude change; or rate of changes in altitude expressed as steepness, or slope.

scholarly journals Every laboratory with a fluorescence microscope should consider counting molecules

2014 ◽  
Vol 25 (10) ◽  
pp. 1545-1548 ◽  
Author(s):  
Valerie C. Coffman ◽  
Jian-Qiu Wu
Keyword(s):  
Mathematical Modeling ◽  
Fluorescence Microscopy ◽  
Protein Complexes ◽  
The State ◽  
Fluorescence Microscope ◽  
Cellular Structures ◽  
Biological Processes ◽  
Protein Molecules ◽  
Parameter Values

Protein numbers in cells determine rates of biological processes, influence the architecture of cellular structures, reveal the stoichiometries of protein complexes, guide in vitro biochemical reconstitutions, and provide parameter values for mathematical modeling. The purpose of this essay is to increase awareness of methods for counting protein molecules using fluorescence microscopy and encourage more cell biologists to report these numbers. We address the state of the field in terms of utility and accuracy of the numbers reported and point readers to references for details of specific techniques and applications.

scholarly journals Field Note—Comparison of Estimates of Hardwood Bole Volume Using Importance Sampling, the Centroid Method, and Some Taper Equations

2002 ◽  
Vol 19 (3) ◽  
pp. 141-142 ◽  
Author(s):  
Harry V. Wiant ◽  
Michael L. Spangler ◽  
John E. Baumgras
Keyword(s):  
West Virginia ◽  
Importance Sampling ◽  
The State ◽  
Centroid Method ◽  
Hardwood Trees ◽  
Field Note ◽  
Taper Equations ◽  
Volume Estimates

Abstract Various taper systems and the centroid method were compared to unbiased volume estimates made by importance sampling for 720 hardwood trees selected throughout the state of West Virginia. Only the centroid method consistently gave volumes estimates that did not differ significantly from those made by importance sampling, although some taper equations did well for most species.

A brief survey of the state of mathematical modeling aroung the world

ZDM ◽  
2006 ◽  
Vol 38 (3) ◽  
pp. 212-213 ◽  
Author(s):  
Bharath Sriraman ◽  
Gabriele Kaiser ◽  
Morten Blomhøj
Keyword(s):  
Mathematical Modeling ◽  
The State ◽  
The World

Reforestation of Mined Land in the Northeastern and North-Central U.S

1984 ◽  
Vol 1 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Walter H. Davidson ◽  
Russell J. Hutnik ◽  
Delbert E. Parr
Keyword(s):  
Land Use ◽  
West Virginia ◽  
Coal Mining ◽  
State Of The Art ◽  
Mine Reclamation ◽  
The State ◽  
Surface Mine ◽  
North Central ◽  
Socioeconomic Issues ◽  
Surface Mine Reclamation

Abstract This paper reviews the state of the art of surface mine reclamation for forestry in Pennsylvania, Maryland, West Virginia, Ohio, Indiana, and Illinois. Legislative constraints, socioeconomic issues, factors limiting the success of reforestation efforts, post-mining land-use trends, species options, and establishment techniques are discussed. Sources of assistance to landowners or managers are given and major publications on reclamation methods are cited. Information provided in the paper also applies to coal mining states adjacent to those listed above. Citation: Northern Journal of Applied Forestry, April 1984 NJ 1:7-12.

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