IN THE TRISTATE AREA CONSISTING OF KANSAS, MISSOURI, AND OKLAHOMA, A LOCAL AND STATE LEVEL COMPARISON OF HIGH SCHOOL CHEMISTRY PREREQUISITES, HIGH SCHOOL CHEMISTRY INSTRUCTOR PREPARATION, AND THE READINESS OF A HIGH SCHOOL STUDENT FOR COLLEGE CHEMISTRY

The purpose of this thesis is to create an awareness among secondary and post-secondary instructors as to the student’s preparation in high school Chemistry I and the student’s readiness for General Chemistry I in college for a tristate area consisting of Kansas, Missouri, and Oklahoma. Student preparation in this research included chemistry I course prerequisites, high school chemistry teacher qualifications including preparation, and student exposure to rigorous science and math course patterns in high school as these relate to college readiness. Data was gathered from a local cohort group consisting of high schools in Southeast Kansas (SEK), Southwest Missouri (SWM), and Northeast Oklahoma (NEO). This local cohort data consisted of chemistry course prerequisites to depict the differences in course rigor required by students before entering Chemistry I in high school. In addition, representing both the local and a state cohort group of KS, MO, and OK, teacher preparation information was assembled and compared. Finally, representing only the state cohort group, ACT science and math scores from each school were collected and related to science and math course patterns to measure the “readiness” of the student for their first college chemistry course. In comparing the local cohort, it was determined that Chemistry I prerequisites are quite diverse and potentially inadequate in math preparation, and chemistry teacher demographics were similar. For the state cohort, most of the universities preparing high school chemistry instructors did not require a laboratory practicum, and the percentage of students that are college chemistry ready was highest for Kansas, followed by Missouri and then Oklahoma

The Effects of Amygdalar Size Normalization on Group Analysis in Late-Life Depression

Structural MRI has been utilized in numerous ways to measure morphologic characteristics of subcortical brain regions. Volumetric analysis is frequently used to quantify the size of brain structures to ultimately compare size differences between individuals. In order to make such comparisons, inter-subject variability in brain and/or head size must be taken into consideration. A heterogeneous set of methods are commonly used to normalize regional volume by brain and/or head size yielding inconsistent findings making it diffcult to interpret and compare results from published volumetric studies. This study investigated the effect that various volume normalization methodologies might have on group analysis. Specifically, the amygdalae were the regions of interest in elderly, healthy and depressed individuals. Normalization methods investigated included spatial transformations, brain and head volume, and tissue volume techniques. Group analyses were conducted with independent t-tests by dividing amygdalar volumes by various volume measures, as well as with univariate analysis of covariance (ANCOVA) analyses by using amygdalar volumes as dependent variables and various volume measures as covariates. Repeated measures ANOVA was performed to assess the effect of each normalization procedure. Results indicate that volumetric differences between groups varied based on the normalization method utilized, which may explain, in part, the discrepancy found in amygdalar volumetric studies. We believe the findings of this study are extensible to other brain regions and demographics, and thus, investigators should carefully consider the normalization methods utilized in volumetric studies to properly interpret the results and conclusions

Improving Transit Predictions of Known Exoplanets with TERMS

Transiting planet discoveries have largely been restricted to the short-period or low-periastron distance regimes due to the bias inherent in the geometric transit probability. Through the refinement of planetary orbital parameters, and hence reducing the size of transit windows, long-period planets become feasible targets for photometric follow-up. Here we describe the TERMS project that is monitoring these host stars at predicted transit times.Comment: 3 pages, 2 figures, to be published in ASP Conf. Proceedings: "Detection and dynamics of transiting exoplanets" 2010, OHP, France (eds.: F. Bouchy, R.F. D{\i}az, C. Moutou

System Geometries and Transit / Eclipse Probabilities

Transiting exoplanets provide access to data to study the mass-radius relation and internal structure of extrasolar planets. Long-period transiting planets allow insight into planetary environments similar to the Solar System where, in contrast to hot Jupiters, planets are not constantly exposed to the intense radiation of their parent stars. Observations of secondary eclipses additionally permit studies of exoplanet temperatures and large-scale exo-atmospheric properties. We show how transit and eclipse probabilities are related to planet-star system geometries, particularly for long-period, eccentric orbits. The resulting target selection and observational strategies represent the principal ingredients of our photometric survey of known radial-velocity planets with the aim of detecting transit signatures (TERMS).Comment: 3 pages, 2 figures. Comments: To appear in the ASP Conference Proceedings: Detection and Dynamics of Transiting Exoplanets; Proceedings of Haute Provence Observatory Colloquium (23-27 August 2010); Edited by F. Bouchy, R. F. Diaz, and C. Mouto

Color Fields on the Light-Shell

We study the classical color radiation from very high energy collisions that produce colored particles. In the extreme high energy limit, the classical color fields are confined to a light-shell expanding at $c$ and are associated with a non-linear $\sigma$-model on the 2D light-shell with specific symmetry breaking terms. We argue that the quantum version of this picture exhibits asymptotic freedom and may be a useful starting point for an effective light-shell theory of the structure between the jets at a very high energy collider.Comment: 11 pages, no figure

A check for rational inattention

Models of rational inattention allow agents to make mistakes in their actions while assuming they do not make mistakes in attention allocation. I test this assumption by comparing attention’s marginal benefit (better actions) and marginal cost (less time for future decisions) using millions of online chess moves. I cannot reject that skilled players equalize marginal benefit and marginal cost across different time controls. Bad players, when they have little time, under-adjust their attention allocation, leading them to have higher marginal cost. A simple intervention improves players' attention allocation