Alien Registration- Morrison, Jean (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/21897/thumbnail.jp

Alien Registration- Morrison, Jean (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/21897/thumbnail.jp

Classification and Casimir Invariants of Lie-Poisson Brackets

We classify Lie-Poisson brackets that are formed from Lie algebra extensions. The problem is relevant because many physical systems owe their Hamiltonian structure to such brackets. A classification involves reducing all brackets to a set of normal forms, and is achieved partially through the use of Lie algebra cohomology. For extensions of order less than five, the number of normal forms is small and they involve no free parameters. We derive a general method of finding Casimir invariants of Lie-Poisson bracket extensions. The Casimir invariants of all low-order brackets are explicitly computed. We treat in detail a four field model of compressible reduced magnetohydrodynamics.Comment: 59 pages, Elsevier macros. To be published in Physica

A look at the Court Appointed Special Advocate Program

Court Appointed Special Advocates (CASAs) represent children\u27s best interests in juvenile court proceedings. In Riverside County, conflict exists among the child advocates and children\u27s social service workers. This study measures current attitudes and perception of social workers and CASA volunteers in a quest to gain awareness and understanding of any problems in communication that may hinder effective working relationships

Diversity and Inclusion in Healthcare: A Leadership Perspective

A panel of healthcare executives explore issues of diversity and inclusion from the perspective of their organizations, their professions and the communities they serve.https://digitalcommons.otterbein.edu/grad_guest/1000/thumbnail.jp

A Framework for Understanding Selection Bias in Real-World Healthcare Data

Using administrative patient-care data such as Electronic Health Records and medical/pharmaceutical claims for population-based scientific research has become increasingly common. With vast sample sizes leading to very small standard errors, researchers need to pay more attention to potential biases in the estimates of association parameters of interest, specifically to biases that do not diminish with increasing sample size. Of these multiple sources of biases, in this paper, we focus on understanding selection bias. We present an analytic framework using directed acyclic graphs for guiding applied researchers to dissect how different sources of selection bias may affect their parameter estimates of interest. We review four easy-to-implement weighting approaches to reduce selection bias and explain through a simulation study when they can rescue us in practice with analysis of real world data. We provide annotated R codes to implement these methods

Omer Héroux and La Verité, 1904-1908 : French-Canadian nationalism and Catholicism in the early twentieth century

Examines the conflict of interest between French-Canadian nationalism and Roman Catholic supranationalism

The Grizzly, February 28, 1980

Craft Reports On College Concerns • Friedmann Reports On Ruby Progress • USGA Commission Pursues Energy Costs • Editor-in-Chief Applications Available • USGA Notes • Lindback Nominations Requested • Letters to the Editor • Sculpture Forum • Ursinus Grad\u27s Winning Positions • Gifford Takes Top MAC Honors • Interest Inventory • Baseball Season Preview • Gymnastics Concludes Season • Marathon Played For Special Olympicshttps://digitalcommons.ursinus.edu/grizzlynews/1035/thumbnail.jp