Population-Environment Dynamics: Issues and Policy

The attached material is a pdf made from the website cited above. Collection of student papers with an introduction by the authors/editors: from a Population-Environment Dynamics course taught in 1997 in the School of Natural Resources and Environment, NRE545, and cross-listed in the Population Planning and International Health Program of the School of Public Health. Student authors: John Callewaert, Moushumi Chaudhuri, Shannon England, Seema Iyer, Daria Kim, Thammasack Manokham, Rosalyn Scaff, Jennifer Wegbreit.http://deepblue.lib.umich.edu/bitstream/2027.42/60128/1/545_1997.pd

Simulation of fluid flows during growth of organic crystals in microgravity

Several counter diffusion type crystal growth experiments were conducted in space. Improvements in crystal size and quality are attributed to reduced natural convection in the microgravity environment. One series of experiments called DMOS (Diffusive Mixing of Organic Solutions) was designed and conducted by researchers at the 3M Corporation and flown by NASA on the space shuttle. Since only limited information about the mixing process is available from the space experiments, a series of ground based experiments was conducted to further investigate the fluid dynamics within the DMOS crystal growth cell. Solutions with density differences in the range of 10 to the -7 to 10 to the -4 power g/cc were used to simulate microgravity conditions. The small density differences were obtained by mixing D2O and H2O. Methylene blue dye was used to enhance flow visualization. The extent of mixing was measured photometrically using the 662 nm absorbance peak of the dye. Results indicate that extensive mixing by natural convection can occur even under microgravity conditions. This is qualitatively consistent with results of a simple scaling analysis. Quantitave results are in close agreement with ongoing computational modeling analysis

Book Reviews

This is a book that every lawyer should read and every law student should be required to read. It is the culminating work of a masterly mind that for over fifty years has been studying governments, ancient and modern,\u27 and meantime the writer has had the practical advantage of holding high and responsible offices, including that of British Ambassador to the United States. Viscount Bryce speaks plainly of American national, state and municipal shortcomings in government, especially the last, but it is done in a kindly vein. He is a friend of America and gives us credit for much

Population-Environment Dynamics: Transitions and Sustainability

The attached material is a pdf made from the website cited above. Collection of student papers with an introduction by the authors/editors: from a Population-Environment Dynamics course taught in 1998 in the School of Natural Resources and Environment, NRE545, and cross-listed in the Population Planning and International Health Program of the School of Public Health. Student authors: Marnie Boardman, Lewis Garvin, Asli Gocmen, Taufik Hanafi, Natalie Henry, Martha Masterton, Sujata Narayan, Mark Schmidt, Chandra Sivakumar, Jennifer Talbot, Michael Tiefel, Christina Welter, Moira Zellner.http://deepblue.lib.umich.edu/bitstream/2027.42/60129/1/545_1998.pd

Population-Environment Dynamics: Transitions in Global Change

The attached material is a pdf made from the website cited above. Collection of student papers with an introduction by the authors/editors: from a Population-Environment Dynamics course taught in 1995 in the School of Natural Resources and Environment, NRE545, and cross-listed in the Population Planning and International Health Program of the School of Public Health. Student authors: Richard W. Aishton, James M. Birkelund, Micah M. Cheatham, C. Maureen Cunningham, Andrea I. Frank, Ajay Gupta, Allenn Han, Michael Landweber, Elizabeth J. Lombard, Alice Nabalamba, Diane O'Connell, Erin N. Perry, Lynelle Preston, Karen Rowe, Marisa Sifontes, Gwo-Wei Torng, Richard Tracy.http://deepblue.lib.umich.edu/bitstream/2027.42/60126/1/545_1995.pd

Population-Environment Dynamics: Ten Case Studies

The attached material is a pdf made from the website cited above. Collection of student papers with an introduction by the authors/editors: from a Population-Environment Dynamics course taught in 1996 in the School of Natural Resources and Environment, NRE545, and cross-listed in the Population Planning and International Health Program of the School of Public Health. Student authors: Kazuhiro Arai, Hideo Kuramitsu, Clive Lipchin, Peter Murchie, Tamana Nishiguchi, Allain J. Rasolofoson, Julie C. Rodriguez, Hitomi Sasaki, Julie M. Smith, Rebecca Spector, Luejit Tinpangahttp://deepblue.lib.umich.edu/bitstream/2027.42/60127/1/545_1996.pd

Malnutrition, child morbidity and the family decision process

This paper suggests a microeconomic model of the process by which infants and toddlers are subject to malnourishment, diarrhea and other illnesses in developing countries. It is econometrically estimated on a cross-section, time-series basis for 1200 children from Candelaria, Colombia. The model focuses on four issues: (i) the impact of economic constraints and intra-family resource allocation decisions on a child's nutritional and health status, (ii) the interrelationship between malnutrition, diarrhea and other diseases, (iii) the impact on health and nutritional status of specific policy interventions (maternal-child health education, food supplementation and the encouragement of breast feeding), and (iv) the importance of distinguishing between the effect of different policy variables on a child's height and weight during this period.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/23694/1/0000664.pd

MOVEABLE, DEPLOYABLE MICROGRID ANALYSIS

This report focuses on the assessment of the feasibility of Moveable, Deployable Microgrids (MODEMs) from an interoperability and sustainment perspective as an alternative solution to traditional backup power methods aimed at bringing critical loads back online after installation microgrid failures or operational energy needs. Prior research into microgrid solutions by MAJ Daniel Varley in his paper “Feasibility Analysis of a Mobile Microgrid Design to Support Department of Defense (DOD) Energy Resilience Goals” identified MODEM as a potential solution. This report utilized the work done by MAJ Varley and further assesses system feasibility. Base and operational energy managers will benefit from MODEMs by having access to multi-energy source systems that are both easily moveable and relatively simplistic in design. As concerns surrounding energy resiliency of defense critical infrastructure by both the DOD and Department of Energy (DOE) mount, as expressed in a March 2022 report by the Electricity Advisory Committee (EAC) titled “Strengthening the Resilience of Defense Critical Infrastructure”, there is a push to identify cost-effective solutions that utilize alternative energy sources in order to improve the overall resiliency of this infrastructure. The MODEM system has the potential to be a viable solution to the resiliency problem.Outstanding ThesisCivilian, Department of the NavyCivilian, Department of the NavyCivilian, Department of the NavyCivilian, Department of the NavyCivilian, Department of the NavyApproved for public release. Distribution is unlimited

Practical Handbook of Curve Fitting

First volume in a three-part series. Book written by Sandra Lach Arlinghaus. Material underwent extensive classroom testing (pre and post publication in handbook form) in course created and taught by W. D. Drake and S. L. Arlinghaus: Population-Environment Dynamics--Transition Theory, NRE 545, School of Natural Resources and Environment, The University of Michigan (1991-1997). Links to published documents containing student work from this course appear elsewhere in Deep Blue.Worked real-world examples illustrate theoretical aspects of fitting curves to data. TABLE OF CONTENTS: | Introduction--Theoretical Background | Chapter 1, Population Data Analysis: Straight line curve-fitting--least squares; Exponential curve-fitting; Exponential curve-fitting with a lower bound; Logistic curve-fitting; Gompertz curve-fitting. | Chapter 2, Epidemiology Data Analysis: Consistent database construction; Mapping of data; Straight line curve-fitting-least squares; Root mean square error. | Chapter 3, Agriculture Data Analysis: Linear fitting--bounded; Bar charts; Default computer curves; Linear fitting--unbounded--simple use of least squares; Exponenital fitting--unbounded; Extrapolation of fitted curves--prediction. | Chapter 4, Biodiversity Data Analysis: Dot maps; Equal-area map projection; Geographic information systems; Map overlays; Feigenbaum's graphical analysis. | Chapter 5, Soils and Forestry Data Analysis: Simple cubic spline curve fitting; Interpolation using a cubic spline; Feigenbaum's graphical analysis. | Chapter 6, Education Data Analysis: Straight line curve-fitting--least squares; Residual plots; Root mean square error. | Chapter 7, Transportation and Communication Data Analysis: Historical maps; Space-filling measured by density; Rank-ordering; Fitting maps to empirical curves. | Chapter 8, Environmental Toxicity Data Analysis: Straight line curve-fitting--least squares; Fitting curves to maps. | Chapter 9, Urbanization Data Analysis: Straight line curve-fitting--least squares; Partitioning of data--scale transformation; Residual plots; Examination and removal of outliers. | Chapter 10, World Trade Data Analysis: Set-theoretic analysis of numerical structure of data; Partitioning of data; Organization techniques; Geometric self-similarity. | Index of Figure Captions and Table Titles. | Quotation from the Overview section of the Introduction. | "Computers offer even the casual user opportunities to handle data that were seldom dreamed of a decade ago. Most spreadsheets and other software packages that have some sort of analytic capability offer an option to graph input data; indeed, even many hand-held calculators do so. Default graphs generated by the computer often link points in a kind of follow the dots fashion; while this is a useful feature, default curves of this sort do not generally assign an equation to the curve. Thus, these curves cannot be projected nor can they be used for systematic interpolation between values. Many of the same software packages that offer default curves also permit the user to insert equations and to generate other graphs based on these equations. The problem is that the user new to this world often does not have the needed mathematical background. We offer a practical approach to showing how to fit curves; it is practical because it uses global real-world data and exposes the reader, as an important side benefit, to the problems encountered when using first-rate electronic (or other) data bases. The reader who is content to fit curves without some sort of mathematical discussion behind these efforts, but who understands that different choices of curves can forecast highly diverse alternative futures, should be able to use all the techniques in this handbook. This section is included because it is important that it be here should one wish it. | With any data set (presented in electronic or paper format), it is important first to examine the set for interesting or unusual patterns in the display. These patterns often influence decisions in choosing subsets of data and tools to analyze subsets. Thus, we encourage readers to approach any data set with a set of basic guidelines in mind and to browse it in a thoughtful manner. We offer the following as one set of guidelines; it will be repeated throughout, with commentary relating it to the databases selected in particular chapters. | Patterns in Data--What to Look For--| 1. What is the general orgainzation scheme of the entire set? Is it arranged alphabetically, numerically, or in some other fashion? | 2. Are the real-world entries in the Table (nations, states, counties) expressed as comparable units: For example, county data and national data are generally not comparable. | 3. Are the numerical entries in the Table expressed in comparable units? For example, data in one column might measure percentaes while data in another column might measure thousands of dollars--these columns would not be comparable. | 4. Are there gaps in the data? If so, what is their significance to the questions you wish to have the data answer?" |Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/58759/1/HandbookCurveFitting.pd

Communications Biophysics

Contains reports on five research projects.National Institutes of Health (Grant 5 PO1 GM14940-03)Joint Services Electronics Programs (U. S. Army, U.S. Navy, and U. S. Air Force) under Contract DA 28-043-AMC-02536(E)National Aeronautics and Space Administration (Grant NGL 22-009-304