Search for: All records

In this original research manuscript, we examined how gender, race, and ethnic heritage shape the science, technology, engineering, and mathematics (STEM)-related and higher education aspirations of different communities of refugee youth and families participating in university–community organization partnerships. Families from various ethnic-based community organizations in Arizona (serving Bhutanese, Burundian, Congolese, Somali, and Syrian people) participated in this study. Using social cognitive career theory as our conceptual framework and a qualitative research approach, we conducted interviews and focus groups with 27 families over two years to better understand their experiences. We found that the youth and families in our study experienced the following: (1) a recognition of the value of STEM education; (2) the value of consistent support from parents and community members; and (3) appreciation for the practical interventions provided by the university–community partnership. Additionally, families communicated conflicting perceptions of the salience of race and gender. We concluded by discussing the implications of the study findings for higher education scholarship and practice. 

Among challenges of refugee students attempting to pursue ambitions to attend a university and subsequently take up a professional career, are uncertainty about how to navigate from high school to college and unawareness of career fields. In this paper, we report on results of a project focused on promoting STEM aspirations and understanding college navigation among refugee families in the United States. Through partnerships between refugee community organizations and a university, families participated in workshops that included learning about a breadth of STEM careers and how to chart a successful course from secondary to postsecondary education. 

Abstract Mathematical modeling of the emergent dynamics of gene regulatory networks (GRN) faces a double challenge of (a) dependence of model dynamics on parameters, and (b) lack of reliable experimentally determined parameters. In this paper we compare two complementary approaches for describing GRN dynamics across unknown parameters: (1) parameter sampling and resulting ensemble statistics used by RACIPE (RAndom CIrcuit PErturbation), and (2) use of rigorous analysis of combinatorial approximation of the ODE models by DSGRN (Dynamic Signatures Generated by Regulatory Networks). We find a very good agreement between RACIPE simulation and DSGRN predictions for four different 2- and 3-node networks typically observed in cellular decision making. This observation is remarkable since the DSGRN approach assumes that the Hill coefficients of the models are very high while RACIPE assumes the values in the range 1-6. Thus DSGRN parameter domains, explicitly defined by inequalities between systems parameters, are highly predictive of ODE model dynamics within a biologically reasonable range of parameters. 

Wearable robotics has shown to be effective for assisting in activities of daily living and restoring motor functions. The objective of this research is to develop a soft robotic exosuit for knee flexion assistance during normal walking and validate its ability to reduce the efforts of the knee flexor muscles: biceps femoris (BF) and semitendinosus (SM). The exosuit is powered by an inflatable curved fabric actuator with the capability to generate flexion torques at the knee joint. An analytical model to characterize the torque of the proposed actuator is derived and validated experimentally. It is found that the analytical torque model precisely matches the experimental results such that the highest root mean square error (RMSE) obtained is 1.237 Nm while the lowest is 0.188 Nm. In addition, the derived model outperformed a benchmark torque model such that its minimum and maximum RMSEs are approximately 90% and 70% less than the benchmark model respectively. A prototype of the knee exosuit is fabricated and tested on one healthy subject with different operating conditions to assist knee flexion during normal walking. The results show that by choosing the appropriate timing of inflation, the exosuit can reduce the electromyography activity of the BF and the SM by 32% and 23%, respectively, without impeding the knee extensor muscle or reducing the knee's range of motion.