The Evaluation of Impact the South Carolina System for Teacher and Student Advancement Professional Development Model has on Teacher Dispositions

Education is continually looking for ways to increase student achievement. This is appropriate because the goal of education is to increase student achievement. Student achievement has continued to be unpredictable throughout the country due to the many factors which present themselves throughout the educational process. The purpose of this dissertation was to look at a specific professional development model, South Carolina System for Teacher and Student Advancement (SCTAP), to measure the impact this model had on teacher dispositions. The following research question guided this study: To what extent does the SCTAP professional development model impact teacher disposition within the following: Empathy, Positive View of Others, Positive View of Self, Authenticity, and Meaningful Purpose? The researcher used a survey, a focus group, and interviews with the faculty to answer the research question. Participants for this study included school administrators and teachers. These data were analyzed individually for trends. These data methods were also triangulated for trends. The data were shared in frequency tables which included both cumulative and percentages of each disposition. Each of the dispositions described by Usher, Usher, and Usher (2003) was addressed, and evidence from the study was provided as to what impact each of these dispositions had on the teachers in the study. An explanation of how these beliefs could impact teacher dispositions was given along with the impact of how teacher dispositions could influence student achievement. Additionally, the impact of future research on teacher dispositions was provided. An analysis of the data showed the area of the SCTAP professional development model which most impacted these attributes of a teacher\u27s disposition was cluster. Meaningful purpose was the attribute of a teacher\u27s disposition which was most impacted by each of the three areas of the SCTAP professional development model

Accelerating Monte Carlo power studies through parametric power estimation

Estimating the power for a non-linear mixed-effects model-based analysis is challenging due to the lack of a closed form analytic expression. Often, computationally intensive Monte Carlo studies need to be employed to evaluate the power of a planned experiment. This is especially time consuming if full power versus sample size curves are to be obtained. A novel parametric power estimation (PPE) algorithm utilizing the theoretical distribution of the alternative hypothesis is presented in this work. The PPE algorithm estimates the unknown non-centrality parameter in the theoretical distribution from a limited number of Monte Carlo simulation and estimations. The estimated parameter linearly scales with study size allowing a quick generation of the full power versus study size curve. A comparison of the PPE with the classical, purely Monte Carlo-based power estimation (MCPE) algorithm for five diverse pharmacometric models showed an excellent agreement between both algorithms, with a low bias of less than 1.2 % and higher precision for the PPE. The power extrapolated from a specific study size was in a very good agreement with power curves obtained with the MCPE algorithm. PPE represents a promising approach to accelerate the power calculation for non-linear mixed effect models

Diagnosing communities with the 5Ds: Applying a framework for understanding barriers to communication and collaboration in three small Texas communities

The 5Ds framework—Distance, Diversity, Dilution, Demand, and Disengagement—has been used to better understand barriers to communication and collaboration in regional entrepreneurial ecosystems, including the multi-community regions of Northwest Arkansas and the Aichi Prefecture of Japan, and the country of Panama. Can this framework also be applied to provide insight and guidance to individual communities? In this paper, we attempt to do so. Examining three small towns in Texas, each facing unique social and economic threats, we use the 5Ds to better understand their underlying challenges and how each translates into systemic communication and collaboration issues obstructing community members from working together to solve community problems. After using the framework to diagnose collaboration barriers for each town, we compare these results with each other and with previous community and regional findings. Finally, we explore implications for scaling this approach, especially in professional communication research into communities and improve intra-community communication and planning activities.IC2 InstituteWritin

Commercial Cargo Derivative Study of the Advanced Hybrid Wing Body Configuration with Over-Wing Engine Nacelles

LM has leveraged our partnership with the Air Force Research Laboratory (AFRL) and NASA on the advanced hybrid wing body (HWB) concept to develop a commercial freighter which addresses the NASA Advanced Air Transport Technology (AATT) Project goals for improved efficiency beyond 2025. The current Air Force Research Laboratory (AFRL) Revolutionary Configurations for Energy Efficiency (RCEE) program established the HWB configuration and technologies needed for military transports to achieve aerodynamic and fuel efficiencies well beyond the commercial industry's most modern designs. This study builds upon that effort to develop a baseline commercial cargo aircraft and two HWB derivative commercial cargo aircraft to quanitify the benefit of the HWB and establish a technology roadmap for further development

Market size, competition, and the product mix of exporters

We build a theoretical model of multi-product firms that highlights how market size and ge- ography (the market sizes of and bilateral economic distances to trading partners) affect both a firm's exported product range and its exported product mix across market destinations (the dis- tribution of sales across products for a given product range). We show how tougher competition in an export market induces a firm to skew its export sales towards its best performing products. We find very strong confirmation of this competitive effect for French exporters across export market destinations. Trade models based on exogenous markups cannot explain this strong sig- nificant link between destination market characteristics and the within-firm skewness of export sales (after controlling for bilateral trade costs). Theoretically, this within firm change in prod- uct mix driven by the trading environment has important repercussions on firm productivity and how it responds to changes in that trading environment

Optimizing the design of a pharmacokinetic trial to evaluate the dosing scheme of a novel tuberculosis drug in children living with or without HIV

Pharmacokinetic (PK) studies in children are usually small and have ethical constraints due to the medical complexities of drawing blood in this special population. Often, population PK models for the drug(s) of interest are available in adults, and these models can be extended to incorporate the expected deviations seen in children. As a consequence, there is increasing interest in the use of optimal design methodology to design PK sampling schemes in children that maximize information using a small sample size and limited number of sampling times per dosing period. As a case study, we use the novel tuberculosis drug delamanid, and show how applications of optimal design methodology can result in highly efficient and model-robust designs in children for estimating PK parameters using a limited number of sampling measurements. Using developed population PK models based on available data from adults living with and without HIV, and limited data on children without HIV, competing designs for children living with HIV were derived and assessed based on robustness to model uncertainty

A Practical Guide to Selecting Models for Exploration, Inference, and Prediction in Ecology

Selecting among competing statistical models is a core challenge in science. However, the many possible approaches and techniques for model selection, and the conflicting recommendations for their use, can be confusing. We contend that much confusion surrounding statistical model selection results from failing to first clearly specify the purpose of the analysis. We argue that there are three distinct goals for statistical modeling in ecology: data exploration, inference, and prediction. Once the modeling goal is clearly articulated, an appropriate model selection procedure is easier to identify. We review model selection approaches and highlight their strengths and weaknesses relative to each of the three modeling goals. We then present examples of modeling for exploration, inference, and prediction using a time series of butterfly population counts. These show how a model selection approach flows naturally from the modeling goal, leading to different models selected for different purposes, even with exactly the same data set. This review illustrates best practices for ecologists and should serve as a reminder that statistical recipes cannot substitute for critical thinking or for the use of independent data to test hypotheses and validate predictions

Maturation of Oxycodone Pharmacokinetics in Neonates and Infants : a Population Pharmacokinetic Model of Three Clinical Trials

Purpose The aim of the current population pharmacokinetic study was to quantify oxycodone pharmacokinetics in children ranging from preterm neonates to children up to 7 years of age. Methods Data on intravenous or intramuscular oxycodone administration were obtained from three previously published studies (n = 119). The median [range] postmenstrual age of the subjects was 299 days [170 days-7.8 years]. A population pharmacokinetic model was built using 781 measurements of oxycodone plasma concentration. The model was used to simulate repeated intravenous oxycodone administration in four representative infants covering the age range from an extremely preterm neonate to 1-year old infant. Results The rapid maturation of oxycodone clearance was best described with combined allometric scaling and maturation function. Central and peripheral volumes of distribution were nonlinearly related to bodyweight. The simulations on repeated intravenous administration in virtual patients indicated that oxycodone plasma concentration can be kept between 10 and 50 ng/ml with a high probability when the maintenance dose is calculated using the typical clearance and the dose interval is 4 h. Conclustions Oxycodone clearance matures rapidly after birth, and between-subject variability is pronounced in neonates. The pharmacokinetic model developed may be used to evaluate different multiple dosing regimens, but the safety of repeated doses should be ensured.Peer reviewe

The Associations Between Park Environments and Park Use in Southern US Communities

Purpose To document park use and park and neighborhood environment characteristics in rural communities, and to examine the relationship between park characteristics and park use. Methods The System for Observing Play and Recreation in Communities measured use in 42 target areas across 6 community parks in May 2010 and October 2010. Direct observation instruments were used to assess park and neighborhood environment characteristics. Logistic regression was used to determine the relationship between the condition, number of amenities, and number of incivilities in a target area with target area use. Findings Ninety‐seven people were observed across all parks during May 2010 data collection and 116 people during October 2010 data collection. Low park quality index scores and unfavorable neighborhood environment characteristics were observed. There was a significant positive association between number of incivilities in a target area and target area use (OR = 1.91; 95% CI: 1.09‐3.38; P = .03). Conclusions The number of people observed using the parks in this study was low, and it was considerably less than the number observed in other studies. The objective park and neighborhood environment characteristics documented in this study provide a more comprehensive understanding of parks than other studies. Further examining the complex relationship between park and neighborhood environment characteristics and park use is important, as it can inform park administrators and city planners of characteristics that are best able to attract visitors.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/108592/1/jrh12071.pd

Schools are open during the coronavirus outbreak but should I voluntarily keep my kids home anyway, if I can? We asked 5 experts

We asked five experts to answer the question: schools are staying open but should I voluntarily keep my kids home anyway, if I can