The affine automorphism group of A^3 is not a maximal subgroup of the tame automorphism group

We construct explicitly a family of proper subgroups of the tame automorphism group of affine three-space (in any characteristic) which are generated by the affine subgroup and a non-affine tame automorphism. One important corollary is the titular result that settles negatively the open question (in characteristic zero) of whether the affine subgroup is a maximal subgroup of the tame automorphism group. We also prove that all groups of this family have the structure of an amalgamated free product of the affine group and a finite group over their intersection.Comment: 16 page

The Shift toward a Global Economy: Changes in Accounting Regulations to Repair a Broken Past and Lay a Solid Foundation for the Future

With the growth and development of a much more dynamic business market, many companies have seen opportunities to expand and profit. However, this has also led to much confusion over which specific regulations and entities should dictate how businesses should report and act. The Financial Accounting Standards Board and the International Accounting Standards Board have been working concurrently to provide a consistent standard that can be applied universally. Though there are many differences between the frameworks of the two organizations, compromises are being made to suit the general business realm. The recent recession has also caused problems for the business world, and has put an even greater urgency on the need for reform and revisions. With the collapse of Enron in 2001 and the passage of the Sarbanes-Oxley Act, accounting regulations have taken a step in the right direction, but these changes will not automatically solve all problems within the industry. Ethical education and universal enforcement also need to be emphasized to cut down on corporate greed and dishonesty to ensure that another economic meltdown will not occur in the near future

Improving Mathematics Content Mastery and Enhancing Flexible Problem Solving through Team-Based Inquiry Learning

This article examines how student learning is affected by the use of team-based inquiry learning, a novel pedagogy in mathematics that uses team-based learning to implement inquiry-based learning. We conducted quasi-experimental and observational studies in intermediate level mathematics courses, finding that team-based inquiry learning led to increased content mastery and that students took a more flexible approach to solving problems. We also found that in the courses using this pedagogy, women (but not men) had a reduction in communication apprehension over the course of a semester. We conclude that team-based inquiry learning effectively enhances student learning and problem solving, preparing students for future academic success and fostering career readiness

Use of ERTS-1 imagery to interpret wind-erosion hazard in the Sandhills of Nebraska

There are no author-identified significant results in this report

Application of ERTS-1 imagery in mapping and managing soil and range resources in the Sand Hills region of Nebraska

Interpretations of imagery from the Earth Resources Technology Satellite (ERTS-1) indicate that soil associations and attendant range sites can be identified on the basis of vegetation and topography using multi-temporal imagery. Optical density measurements of imagery from the visible red band of the multispectral scanner (MSS band 5) obtained during the growing season were related to field measurements of vegetative biomass, a factor that closely parallels range condition class on specific range sites. ERTS-1 imagery also permitted inventory and assessment of center-pivot irrigation systems in the Sand Hills region in relation to soil and topographic conditions and energy requirements

poLCA: An R Package for Polytomous Variable Latent Class Analysis

poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line. The basic latent class model is a finite mixture model in which the component distributions are assumed to be multi-way cross-classification tables with all variables mutually independent. The latent class regression model further enables the researcher to estimate the effects of covariates on predicting latent class membership. poLCA uses expectation-maximization and Newton-Raphson algorithms to find maximum likelihood estimates of the model parameters