Exploring First Generation African American Graduate Students: Motivating Factors for Pursuing a Doctoral Degree

The purpose for conducting the study was to examine the factors that motivate African-American first-generation students to pursue doctoral education at a four-year public university. There has been little research on the influence academic or non-academic factors have on first-generation graduate student motivation. Similarly, little research exists that explored how factors might vary by ethnicity. Based on the projected increase of post-baccalaureate enrollment each year (Aud, Hussar, Planty, Snyder, Bianco, Fox, Frohlich, Kemp, Drake, 2010), first-generation African-Americans will become more interested in attending graduate school. It is important to gain a better understanding of the factors and influences that impact this student population. Therefore, the study explored why these students progressed, who or what encouraged them, what challenges they had to overcome, why they felt it necessary to further their education, and what motivated them. Specifically, the study determined motivating factors for first-generation graduate students to pursue and attend graduate school with the intention of obtaining a doctoral degree. Overall, this study provided specific examples of influences and motivating factors that encouraged this population to pursue

The Academic System Influence on Instructional Change: A Conceptual Systems Dynamics Model of Faculty Motivation to Adopt Research-Based Instructional Strategies (RBIS)

Many universities have implemented initiatives to drive instructional change, yet their success has often been limited due to a lack of recognition of academia as a complex dynamic system. This paper explores how the interconnected and dynamic nature of academic systems influences faculty motivation to adopt instructional innovations, such as project-based learning (PBL) and small group collaborations (SGCs). We present a Conceptual Systems Dynamics Model (CSDM) that illustrates these interconnections, demonstrating how systemic factors create feedback loops that either reinforce or hinder faculty motivation, as well as other related factors. These loops, represented as Causal Loop Diagrams (CLDs), were derived from literature reviews and qualitative data obtained from interviews and focus groups involving 17 faculty and administrators within an Engineering Department at a research university in South America. The paper identifies thirteen CLDs, comprising seven reinforcing dynamics that positively influence faculty motivation and six balancing dynamics that exert negative pressure. Using empirical evidence and analysis, we describe how the systemic factors influence faculty motivation, and how shifts in motivation reciprocally impact these interconnected factors. By elucidating the complex dynamics at play, this research contributes to a deeper understanding of how to promote sustainable instructional change within academic institutions

Learning in Informal Environments Through Engineering Activities Through the Partnership with the Girl Scouts

More affordable and portable robots have enabled easier access for outreach activities to happen in different environments. However, exposure to robotics often relies on seeing robots in action, such as industrial robotics and robots that are used for research purposes. Old Dominion University’s College of Engineering and Technology in Norfolk, Virginia recently signed a partnership agreement with the Girl Scouts of Colonial Coast as one of the focused outreach strategies that target the female population. Various events are held on campus in the Hampton Roads residential area located in the southeastern United States, which has a population of around 2 million people. Through this method, elementary age girls can be exposed to engineering content by attending events that are held on the university campus and lead by faculty along with graduate and undergraduate students. This paper showcases one such learning activity through an informal setting activity designed for the K-5 elementary grade levels. In this case, Girl Scouts in the following groups: Daisies, Brownies, and Juniors. Similar activities can be delivered on any other college campus that offers majors related to the area of mechanical engineering / mechanical engineering technology; civil engineering / civil engineering technology; and electrical engineering / electrical engineering technology

Institutionalizing Continuous Improvement Plan in an Engineering Technology Department- Closing the Loop

Continuous improvement is a corner stone of a quality engineering or engineering technology program. Accreditation Board of Engineering and Technology requires that a well-planned and implemented continuous improvement plan should be in place. The ABET 2015-16 Criterion 4 Continuous Improvement1 states: The program must regularly use appropriate, documented processes for assessing and evaluating the extent to which the student outcomes are being attained. The results of these evaluations must be systematically utilized as input for the continuous improvement of the program. Other available information may also be used to assist in the continuous improvement of the program. A successful continuous improvement plan that is institutionalized is self-driven and does not require external stimuli. For example, if an outcome assessment goal is not reached in an academic term, a sequence of events/actions are set in motion to address the deficiency. Evidence of existence of an institutionalized continuous improvement plan include but not limited to: A timeline of repeated activities related to the assessment and evaluation of student outcomes, agreed upon performance indicators to assess learning outcomes, systematic data collection focusing on direct evidence of student performance related to the student outcomes. Various data streams feeding into the assessment plan may include, course assessment data, senior exit survey, alumni and employer survey, internship reports and feedback from industrial advisory boards

Predicting sexual problems in women: The relevance of sexual excitation and sexual inhibition

This is the post-print version of the article. The official published version can be obtained from the link below.Data from a non-clinical sample of 540 heterosexual women were used to examine the relationships between scores on the Sexual Excitation/Sexual Inhibition Inventory for Women (SESII-W) and ratings of current sexual problems, lifetime arousal difficulty, lifetime orgasm difficulty, and lifetime problems with low sexual interest. Multiple regression analyses also included several demographic/background variables as predictors: age, full-time employment, completed college, children in household, married, health ratings, importance of sex, and whether the woman was in a sexual relationship. The strongest statistical predictors of both current and lifetime sexual problems were the SESII-W inhibition factors Arousal Contingency and Concerns about Sexual Function. Demographic factors did not feature largely in any of the models predicting sexual problems even when statistically significant relationships were found. If future research supports the predictive utility of the SESII-W in identifying women who are more likely to experience sexual difficulties, these scales may be used as prognostic factors in treatment studies.This study was funded, in part, by a grant from the Lilly Centre for Women's Health

Evidence for Color Dichotomy in the Primordial Neptunian Trojan Population

In the current model of early Solar System evolution, the stable members of the Jovian and Neptunian Trojan populations were captured into resonance from the leftover reservoir of planetesimals during the outward migration of the giant planets. As a result, both Jovian and Neptunian Trojans share a common origin with the primordial disk population, whose other surviving members constitute today's trans-Neptunian object (TNO) populations. The cold classical TNOs are ultra-red, while the dynamically excited "hot" population of TNOs contains a mixture of ultra-red and blue objects. In contrast, Jovian and Neptunian Trojans are observed to be blue. While the absence of ultra-red Jovian Trojans can be readily explained by the sublimation of volatile material from their surfaces due to the high flux of solar radiation at 5AU, the lack of ultra-red Neptunian Trojans presents both a puzzle and a challenge to formation models. In this work we report the discovery by the Dark Energy Survey (DES) of two new dynamically stable L4 Neptunian Trojans,2013 VX30 and 2014 UU240, both with inclinations i >30 degrees, making them the highest-inclination known stable Neptunian Trojans. We have measured the colors of these and three other dynamically stable Neptunian Trojans previously observed by DES, and find that 2013 VX30 is ultra-red, the first such Neptunian Trojan in its class. As such, 2013 VX30 may be a "missing link" between the Trojan and TNO populations. Using a simulation of the DES TNO detection efficiency, we find that there are 162 +/- 73 Trojans with Hr < 10 at the L4 Lagrange point of Neptune. Moreover, the blue-to-red Neptunian Trojan population ratio should be higher than 17:1. Based on this result, we discuss the possible origin of the ultra-red Neptunian Trojan population and its implications for the formation history of Neptunian Trojans

Self-management support interventions for stroke survivors: a systematic meta-review

There is considerable policy interest in promoting self-management in patients with long-term conditions, but it remains uncertain whether these interventions are effective in stroke patients.Systematic meta-review of the evidence for self-management support interventions with stroke survivors to inform provision of healthcare services.We searched MEDLINE, EMBASE, CINAHL, PsychINFO, AMED, BNI, Database of Abstracts of Reviews for Effectiveness, and Cochrane Database of Systematic Reviews for systematic reviews of self-management support interventions for stroke survivors. Quality was assessed using the R-AMSTAR tool, and data extracted using a customised data extraction form. We undertook a narrative synthesis of the reviews' findings.From 12,400 titles we selected 13 systematic reviews (published 2003-2012) representing 101 individual trials. Although the term 'self-management' was rarely used, key elements of self-management support such as goal setting, action planning, and problem solving were core components of therapy rehabilitation interventions. We found high quality evidence that supported self-management in the context of therapy rehabilitation delivered soon after the stroke event resulted in short-term (&lt; 1 year) improvements in basic and extended activities of daily living, and a reduction in poor outcomes (dependence/death). There is some evidence that rehabilitation and problem solving interventions facilitated reintegration into the community.Self-management terminology is rarely used in the context of stroke. However, therapy rehabilitation currently successfully delivers elements of self-management support to stroke survivors and their caregivers with improved outcomes. Future research should focus on managing the emotional, medical and social tasks of long-term survivorship

A chemical survey of exoplanets with ARIEL

Thousands of exoplanets have now been discovered with a huge range of masses, sizes and orbits: from rocky Earth-like planets to large gas giants grazing the surface of their host star. However, the essential nature of these exoplanets remains largely mysterious: there is no known, discernible pattern linking the presence, size, or orbital parameters of a planet to the nature of its parent star. We have little idea whether the chemistry of a planet is linked to its formation environment, or whether the type of host star drives the physics and chemistry of the planet’s birth, and evolution. ARIEL was conceived to observe a large number (~1000) of transiting planets for statistical understanding, including gas giants, Neptunes, super-Earths and Earth-size planets around a range of host star types using transit spectroscopy in the 1.25–7.8 μm spectral range and multiple narrow-band photometry in the optical. ARIEL will focus on warm and hot planets to take advantage of their well-mixed atmospheres which should show minimal condensation and sequestration of high-Z materials compared to their colder Solar System siblings. Said warm and hot atmospheres are expected to be more representative of the planetary bulk composition. Observations of these warm/hot exoplanets, and in particular of their elemental composition (especially C, O, N, S, Si), will allow the understanding of the early stages of planetary and atmospheric formation during the nebular phase and the following few million years. ARIEL will thus provide a representative picture of the chemical nature of the exoplanets and relate this directly to the type and chemical environment of the host star. ARIEL is designed as a dedicated survey mission for combined-light spectroscopy, capable of observing a large and well-defined planet sample within its 4-year mission lifetime. Transit, eclipse and phase-curve spectroscopy methods, whereby the signal from the star and planet are differentiated using knowledge of the planetary ephemerides, allow us to measure atmospheric signals from the planet at levels of 10–100 part per million (ppm) relative to the star and, given the bright nature of targets, also allows more sophisticated techniques, such as eclipse mapping, to give a deeper insight into the nature of the atmosphere. These types of observations require a stable payload and satellite platform with broad, instantaneous wavelength coverage to detect many molecular species, probe the thermal structure, identify clouds and monitor the stellar activity. The wavelength range proposed covers all the expected major atmospheric gases from e.g. H2O, CO2, CH4 NH3, HCN, H2S through to the more exotic metallic compounds, such as TiO, VO, and condensed species. Simulations of ARIEL performance in conducting exoplanet surveys have been performed – using conservative estimates of mission performance and a full model of all significant noise sources in the measurement – using a list of potential ARIEL targets that incorporates the latest available exoplanet statistics. The conclusion at the end of the Phase A study, is that ARIEL – in line with the stated mission objectives – will be able to observe about 1000 exoplanets depending on the details of the adopted survey strategy, thus confirming the feasibility of the main science objectives.Peer reviewedFinal Published versio

Validation and Potential Mechanisms of Red Cell Distribution Width as a Prognostic Marker in Heart Failure

Adverse outcomes have recently been linked to elevated red cell distribution width (RDW) in heart failure. Our study sought to validate the prognostic value of RDW in heart failure and to explore the potential mechanisms underlying this association