The Atheistic Influences of the Christian Apologist

C.S. Lewis, though considered a great apologist for the Christian faith, did not become a Christian until the age of thirty-one. The many years spent as an atheist not only influenced his writings after his conversion, but allowed him to become a great apologist

2010 Clinic Yearbook

The Clinic is the yearbook of the Sidney Kimmel Medical College (formerly Jefferson Medical College) at Thomas Jefferson University

Housing for adults with a learning disability: 'I want to choose, but they don't listen'

The White Paper Valuing People (DoH, 2003) promises to increase choice and control for adults with a learning disability, housing being one area specifically highlighted in this respect. However, lack of knowledge about the preferences of adults with a learning disability makes it very difficult for services to be planned effectively and based on the views of the very group who will use them. This paper discusses the findings of a project which aimed to involve adults with a learning disability in service planning, by asking them to identify their own needs and preferences in relation to housing. The project clearly emphasises that adults with a learning disability are often very well able to articulate their own needs about housing, and should thus be the focus of all decisions

No Mas Excusas: Parent Latino Initiative

Immigrant Latino parents are invested in their children and have an authentic interest in assisting their children to acquire an education and to succeed in school, but many parents face socioeconomic, language, and cultural barriers. This qualitative study looked at a group of immigrant Latino parents whose children attend a high school that is composed of predominantly Caucasian students from well-educated, middle-to-upper-class backgrounds. The parents are involved in a program developed by the researcher and her colleague. The purpose of this study was to investigate the cultural beliefs and values of the program participants, the educational beliefs and values of the program participants, and the socioeconomic considerations of the parents. The study included a questionnaire, a focus group session, observations, and relevant documents pertaining to the program

A profile analysis of diagnostic data from college students experiencing math difficulty

Title from PDF of title page (University of Missouri--Columbia, viewed on November 10, 2010).The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.Dissertation advisor: Dr. Craig L. FrisbyVita.Ph. D. University of Missouri--Columbia 2008.Level, shape and scatter are three characteristics of profiles that determine the specific focus of profile analysis procedures. In this study, three methods of profile analysis that emphasize each of these characteristics are analyzed: cluster analysis (which distinguishes profiles by level), modal profile analysis (which distinguishes profiles by shape) and configural frequency analysis (which distinguishes profiles by scatter). Within a group of college student's struggling with mathematics, these three profile analysis methods are used to form three distinct subtype grouping schemes. The profile subgroups resulting from each of the three profile analysis methods are compared to previously identified clinical subgroups. Results indicate that the best method to correspond with clinical subgroups is cluster analysis, which emphasizes level.Includes bibliographical references (p. 156-167)

Approximating Maximin Share Allocations

We study the problem of fair allocation of M indivisible items among N agents using the popular notion of maximin share as our measure of fairness. The maximin share of an agent is the largest value she can guarantee herself if she is allowed to choose a partition of the items into N bundles (one for each agent), on the condition that she receives her least preferred bundle. A maximin share allocation provides each agent a bundle worth at least their maximin share. While it is known that such an allocation need not exist [Procaccia and Wang, 2014; Kurokawa et al., 2016], a series of work [Procaccia and Wang, 2014; David Kurokawa et al., 2018; Amanatidis et al., 2017; Barman and Krishna Murthy, 2017] provided 2/3 approximation algorithms in which each agent receives a bundle worth at least 2/3 times their maximin share. Recently, [Ghodsi et al., 2018] improved the approximation guarantee to 3/4. Prior works utilize intricate algorithms, with an exception of [Barman and Krishna Murthy, 2017] which is a simple greedy solution but relies on sophisticated analysis techniques. In this paper, we propose an alternative 2/3 maximin share approximation which offers both a simple algorithm and straightforward analysis. In contrast to other algorithms, our approach allows for a simple and intuitive understanding of why it works

Military Children’s Difficulty with Reintegration after Deployment: A Relational Turbulence Model Perspective

This study drew on the relational turbulence model to investigate how the interpersonal dynamics of military couples predict parents’ reports of the reintegration difficulty of military children upon homecoming after deployment. Longitudinal data were collected from 118 military couples once per month for 3 consecutive months after reunion. Military couples reported on their depressive symptoms, characteristics of their romantic relationship, and the reintegration difficulty of their oldest child. Results of dyadic growth curve models indicated that the mean levels of parents’ depressive symptoms (H1), relationship uncertainty (H2), and interference from a partner (H3) were positively associated with parents’ reports of military children’s reintegration difficulty. These findings suggest that the relational turbulence model has utility for illuminating the reintegration difficulty of military children during the postdeployment transition

On the Existence of Competitive Equilibrium with Chores

We study the chore division problem in the classic Arrow-Debreu exchange setting, where a set of agents want to divide their divisible chores (bads) to minimize their disutilities (costs). We assume that agents have linear disutility functions. Like the setting with goods, a division based on competitive equilibrium is regarded as one of the best mechanisms for bads. Equilibrium existence for goods has been extensively studied, resulting in a simple, polynomial-time verifiable, necessary and sufficient condition. However, dividing bads has not received a similar extensive study even though it is as relevant as dividing goods in day-to-day life. In this paper, we show that the problem of checking whether an equilibrium exists in chore division is NP-complete, which is in sharp contrast to the case of goods. Further, we derive a simple, polynomial-time verifiable, sufficient condition for existence. Our fixed-point formulation to show existence makes novel use of both Kakutani and Brouwer fixed-point theorems, the latter nested inside the former, to avoid the undefined demand issue specific to bads