Spring/Summer 2020: April Showers -- Toddler Girls RTW

https://griffinshare.fontbonne.edu/fas-205-projects/1006/thumbnail.jp

The influence of test anxiety on memory

The purpose of this study was to investigate the relationship between test anxiety and memory among a college population (N = 42). Specifically, the goal was to ascertain whether text anxiety had a measurable effect on memory, which was represented by scores on the Nelson-Denny reading comprehension subtest. Participants were divided into a stressed group (N = 22) and a non-stressed group (N = 20) in order to compare scores from test-takers with anxiety to those who do not. It was hypothesized that (a) test anxiety would have a significant impact on test results, (b) the non-stressed group would score higher than the stressed group, and (c) the stressed-group’s memory capabilities, and thus test performance, would be reduced as a result of the test anxiety created by the environment. Results indicated that the difference between the two groups were not significant

Indigenous Spaces

In this chapter, the use of memory by Indigenous activists and movements in North America to unsettle the status quo by bringing attention to a contested past is reviewed to demonstrate how memory activism has become an integral component of the Indigenous rights movement of the twenty-first century. Centered on awaking the memory of settler-colonial society to unsettle the dominant narrative that pervades the understanding of Indigenous peoples as something of the past serves to spark the settler-colonial state\u27s remembrance that Indigenous people are of the present. Acknowledging the past by honoring the promises that were made undermines the historical fiction of Indigenous people belonging only to history pages and lacking a place in the present

Binding Interest Arbitration in the Public Sector: A New Proposal for California and Beyond

For over thirty-five years, binding interest arbitration legislation has been enacted in many states and localities as a way to avoid debilitating labor problems with essential public employees, particularly police and firefighters. A recurring issue has been whether these statutes unconstitutionally delegate legislative policy- making authority to a private third party, thereby violating the non-delegation doctrines in many state constitutions. A sizeable majority of courts have upheld these statutes against nondelegation doctrine challenges. In April 2003, however, the California Supreme Court invalidated California\u27s binding interest arbitration statutory system. The court, importantly, did not base its decision on typical non-delegation grounds. Thus, the possibility of binding interest arbitration still exists for the State of California and its localities, provided certain requirements are met. This Note examines the positive and negative aspects of binding interest arbitration over the past thirty-five years and offers a proposal that addresses non-delegation problems that may arise in California or other jurisdictions. This Note proposes a framework that can be adopted by the State of California and its localities. The framework focuses on limiting binding interest arbitration to essential employees, creating direct political accountability, and restraining arbitrator discretion, and making the arbitrator accountable to the citizens

Brief Experimental Analysis of Reading Intervention Components for English-Language Learners

Identifying effective instructional modifications for English-language learners (ELL) experiencing reading problems is a difficult task given the vast individual differences in language proficiency, motivation, and school experience. To address this issue, this study investigated the utility of brief experimental analysis as a means to quickly identify the most effective instructional components to increase reading performance for five ELL. Using a multielement design, five treatments were administered one by one with increasing language support. There were individual differences in response and effective treatments were identified for all participants. Further, an extended analysis of alternating baseline conditions with the hypothesized effective treatment indicated that selected interventions increased reading rates for four participants over time. A combination of the two most effective interventions based on results from the brief experimental analysis increased reading performance for the fifth student. These procedures appear to hold promise for quickly identifying effective instructional components for individual ELL

Real-time fault identification for developmental turbine engine testing

Hundreds of individual sensors produce an enormous amount of data during developmental turbine engine testing. The challenge is to ensure the validity of the data and to identify data and engine anomalies in a timely manner. An automated data validation, engine condition monitoring, and fault identification process that emulates typical engineering techniques has been developed for developmental engine testing.An automated data validation and fault identification approach employing enginecycle-matching principles is described. Engine cycle-matching is automated by using an adaptive nonlinear component-level computer model capable of simulating both steady state and transient engine operation. Automated steady-state, transient, and real-time model calibration processes are also described. The model enables automation of traditional data validation, engine condition monitoring, and fault identification procedures. A distributed parallel computing approach enables the entire process to operate in real-time.The result is a capability to detect data and engine anomalies in real-time during developmental engine testing. The approach is shown to be successful in detecting and identifying sensor anomalies as they occur and distinguishing these anomalies from variations in component and overall engine aerothermodynamic performance. The component-level model-based engine performance and fault identification technique of the present research is capable of: identifying measurement errors on the order of 0.5 percent (e.g., sensor bias, drift,level shift, noise, or poor response) in facility fuel flow, airflow, and thrust measurements; identifying measurement errors in engine aerothermodynamic measurements (rotorspeeds, gas path pressures and temperatures); identifying measurement errors in engine control sensors (e.g., leaking/biased pressure sensor, slowly responding pressure measurement) and variable geometry rigging (e.g., misset guide vanes or nozzle area) that would invalidate a test or series of tests; identifying abrupt faults (e.g., faults due to domestic object damage, foreign object damage, and control anomalies); identifying slow faults (e.g., component or overall engine degradation, and sensor drift). Specifically, the technique is capable of identifying small changes in compressor (or fan) performance on the order of 0.5 percent; and being easily extended to diagnose secondary failure modes and to verify any modeling assumptions that may arise for developmental engine tests (e.g., increase in turbine flow capacity, inaccurate measurement of facility bleed flows, horsepower extraction, etc.).The component-level model-based engine performance and fault identification method developed in the present work brings together features which individually and collectively advance the state-of-the-art. These features are separated into three categories: advancements to effectively quantify off-nominal behavior, advancements to provide a fault detection capability that is practical from the viewpoint of the analysis,implementation, tuning, and design, and advancements to provide a real-time fault detection capability that is reliable and efficient