XBED, a spreadsheet template for the rotation of paleocurrent measurements using Quattro Pro

10.14509/1481 ◽  
1991 ◽  
Author(s):  
J. G. Clough
Keyword(s):  
Spreadsheet Template

scholarly journals A Spreadsheet Template for Forced Grading System

2020 ◽  
Vol 8 (6) ◽  
pp. 267-272
Keyword(s):  
Test Scores ◽  
Business Schools ◽  
Numerical Test ◽  
Grading System ◽  
Efficient Tool ◽  
Letter Grades ◽  
Grading Systems ◽  
Spreadsheet Template

Forced Grading Systems are popular and accepted for evaluating students, particularly in business schools. Under such systems students' numerical test scores are converted to letter grades (A, B, etc.) and awarded in mandated percentages. In common practice, schools mandate that 10% to 15% of students in a class receive As, 25% to 35% Bs, and 40% to 50% Cs. However, instructors must identify what numerical cutoffs satisfy mandated grade distributions, and that tedious effort might entail several solutions. This study introduces an Excel-based template with which instructors can establish numerical cutoffs that distribute students' grades in accord with mandated standards. Results indicate that the spreadsheet template is an efficient tool to evaluate students following the Forced Grading System

scholarly journals RepGene: A Spreadsheet Template for the Management of Reporter Gene Assays

BioTechniques ◽  
2001 ◽  
Vol 30 (6) ◽  
pp. 1294-1298 ◽  
Author(s):  
Patrick Y. Muller ◽  
Luca Barella ◽  
André R. Miserez
Keyword(s):  
Reporter Gene ◽  
Spreadsheet Template ◽  
Reporter Gene Assays

Inventory Projection with the Georgia Regional Timber Supply (GRITS) Model

1990 ◽  
Vol 14 (3) ◽  
pp. 124-133 ◽  
Author(s):  
Frederick W. Cubbage ◽  
Dale W. Hogg ◽  
Thomas G. Harris ◽  
Ralph J. Alig
Keyword(s):  
Study Data ◽  
Pascal Program ◽  
Timber Supply ◽  
Forest Survey ◽  
Current Growth ◽  
Supply Model ◽  
Inventory Projection ◽  
Spreadsheet Template ◽  
Case Study Data

Abstract A regional timber supply model was developed to project softwood and hardwood supplies at state and substate levels. The model runs on a microcomputer and was applied to Georgia as a case study. Data are entered in a spreadsheet template, and forecasts are made using a Pascal program. The model seems accurate, is easy to use, relies on easily obtainable forest survey data, and can provide projections for substate areas. Projections made for Georgia indicate that softwood supplies will decrease substantially in many important substrate areas given current growth and harvest levels, but hardwood supplies will increase. South. J. Appl. For. 14(3):124-133.

scholarly journals PVCURVE: A COMPUTER SPREADSHEET TEMPLATE FOR EVALUATING PRESSURE-VOLUME CURVES

HortScience ◽  
1990 ◽  
Vol 25 (9) ◽  
pp. 1096e-1096
Author(s):  
Robert Augé
Keyword(s):  
Water Potential ◽  
Water Content ◽  
Accurate Estimate ◽  
Water Volume ◽  
Tissue Water ◽  
Additional Information ◽  
Spreadsheet Analysis ◽  
Spreadsheet Template ◽  
Total Tissue

The determination of tissue water potential components is important for understanding plant growth and response to the environment. Pressure-volume (PV) analysis is often considered to give the most accurate estimate of symplastic osmotic potential. Additional information about tissue water relations can also be computed from PV curves estimates of bulk cell wall elasticity, symplastic water volume, and turgor potential at various states of tissue water content. The generation of PV curves is a time-consuming procedure, however, and involves considerable computation. This presentation describes a computer spreadsheet template for traditional evaluation of a PV curve through linear regression of the zero turgor segment. The template allows real-time plotting of the inverse ψ/ water loss relating, provides estimates of most commonly calculated PV characteristics and permits instant graphic visualizations of changes in water potential components and elasticity with changes in water potential, total tissue water and symplastic water content. The advantages of spreadsheet analysis of PV curves are simplicity, consistency, thoroughness and speed. A fleeting acquaintance with spreadsheet software and a thorough understanding of pressure-volume theory on the part of the user is assumed.

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