Puerto Rico v. Franklin California Tax-Free Trust: Congressional Intent Interpreted Through a Plain Reading of the Federal Bankruptcy Code

In Puerto Rico v. Franklin California Tax-Free Trust, the Supreme Court held that Puerto Rico’s Recovery Act was pre-empted by federal law. While the Majority’s method of interpreting the plain language of the Bankruptcy Code was the correct course of action, additional notable interpretations and policy arguments were raised in regards to the Bankruptcy Code itself as well as this holding’s implications on the citizens of Puerto Rico. However, while Puerto Rico and the Dissent may not have found solace through the judiciary’s resolution in this matter, Congress’ swift passing of PROMESA has provided Puerto Rico with an initial opportunity to address its current financial situation

Facing the Tiger

Reviewed Book: Endicott, Shirley J. Facing the Tiger. Winfield, BC: Wood Lake Books, 1987

Lessons Learned: The Bush Foundation Infant Toddler Development Program Turns 10

Describes a complex ten-year initiative to develop curricula and train faculty, state agencies, and the child care community in reducing barriers to the healthy development of young children in Minnesota, North Dakota, and South Dakota

Songs for a Gospel People: A Supplement to the Hymn Book (1971)

Reviewed Book: Hobbs, R Gerald. Songs for a Gospel People: A Supplement to the Hymn Book (1971). Winfield, BC: Wood Lake Books, [19--?]

Endogeneity in nonparametric and semiparametric regression models

This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous regressors. We list a number of different generalizations of the linear structural equation model, and discuss how two common estimation approaches for linear equations — the "instrumental variables" and "control function" approaches — may be extended to nonparametric generalizations of the linear model and to their semiparametric variants. We consider the identification and estimation of the "Average Structural Function" and argue that this is a parameter of central interest in the analysis of semiparametric and non- parametric models with endogenous regressors. We consider a particular semiparametric model, the binary response model with linear index function and nonparametric error distribution, and describes in detail how estimation of the parameters of interest can be constructed using the "control function" approach. This estimator is applied to estimating the relation of labor force participation to nonlabor income, viewed as an endogenous regressor

Predicting the Future: Parental Progeny Investment in Response to Environmental Stress Cues

Environmental stressors can severely limit the ability of an organism to reproduce as lifespan is decreased and resources are shifted away from reproduction to survival. Although this is often detrimental to the organism’s reproductive fitness, certain other reproductive stress responses may mitigate this effect by increasing the likelihood of progeny survival in the F1 and subsequent generations. Here we review three means by which these progeny may be conferred a competitive edge as a result of stress encountered in the parental generation: heritable epigenetic modifications to nucleotides and histones, simple maternal investments of cytosolic components, and the partially overlapping phenomenon of terminal investment, which can entail extreme parental investment strategies in either cytosolic components or gamete production. We examine instances of these categories and their ability to subsequently impact offspring fitness and reproduction. Ultimately, without impacting nucleotide sequence, these more labile alterations may shape development, evolution, ecology and even human health, necessitating further understanding and research into the specific mechanisms by which environmental stressors are sensed and elicit a corresponding response in the parental germline

An LFT/SDP approach to the uncertainty analysis for state

A state estimator is an algorithm that computes the current state of a time-varying system from on-line measurements. Physical quantities such as measurements and parameters are characterised by uncertainty. Understanding how uncertainty affects the accuracy of state estimates is therefore a pre-requisite to the application of such techniques to real systems. In this paper we develop a method of uncertainty analysis based on linear fractional transformations (LFT) and obtain ellipsoid-of-confidence bounds by recasting the LFT problem into a semidefinite programming problem (SDP). The ideas are illustrated by applying them to a simple water distribution network

Derivation of near-optimal pump schedules for water distribution by simulated annealing

The scheduling of pumps for clean water distribution is a partially discrete non-linear problem with many variables. The scheduling method described in this paper typically produces costs within 1% of a linear program-based solution, and can incorporate realistic non-linear costs that may be hard to incorporate in linear programming formulations. These costs include pump switching and maximum demand charges. A simplified model is derived from a standard hydraulic simulator. An initial schedule is produced by a descent method. Two-stage simulated annealing then produces solutions in a few minutes. Iterative recalibration ensures that the solution agrees closely with the results from a full hydraulic simulation