Dynamic modeling and analysis of single-stage boost inverters under normal and abnormal conditions

Inverters play key roles in connecting sustainable energy (SE) sources to the local loads and the ac grid. Although there has been a rapid expansion in the use of renewable sources in recent years, fundamental research, on the design of inverters that are specialized for use in these systems, is still needed. Recent advances in power electronics have led to proposing new topologies and switching patterns for single-stage power conversion, which are appropriate for SE sources and energy storage devices. The current source inverter (CSI) topology, along with a newly proposed switching pattern, is capable of converting the low dc voltage to the line ac in only one stage. Simple implementation and high reliability, together with the potential advantages of higher efficiency and lower cost, turns the so-called, single-stage boost inverter (SSBI), into a viable competitor to the existing SE-based power conversion technologies.^ The dynamic model is one of the most essential requirements for performance analysis and control design of any engineering system. Thus, in order to have satisfactory operation, it is necessary to derive a dynamic model for the SSBI system. However, because of the switching behavior and nonlinear elements involved, analysis of the SSBI is a complicated task.^ This research applies the state-space averaging technique to the SSBI to develop the state-space-averaged model of the SSBI under stand-alone and grid-connected modes of operation. Then, a small-signal model is derived by means of the perturbation and linearization method. An experimental hardware set-up, including a laboratory-scaled prototype SSBI, is built and the validity of the obtained models is verified through simulation and experiments. Finally, an eigenvalue sensitivity analysis is performed to investigate the stability and dynamic behavior of the SSBI system over a typical range of operation. ^

A Q factor analysis of college undergraduate students' study behaviors

The purpose of this study was to better understand the study behaviors and habits of university undergraduate students. It was designed to determine whether undergraduate students could be grouped based on their self-reported study behaviors and if any grouping system could be determined, whether group membership was related to students’ academic achievement. A total of 152 undergraduate students voluntarily participated in the current study by completing the Study Behavior Inventory instrument. All participants were enrolled in fall semester of 2010 at Florida International University. The Q factor analysis technique using principal components extraction and a varimax rotation was used in order to examine the participants in relation to each other and to detect a pattern of intercorrelations among participants based on their self-reported study behaviors. The Q factor analysis yielded a two factor structure representing two distinct student types among participants regarding their study behaviors. The first student type (i.e., Factor 1) describes proactive learners who organize both their study materials and study time well. Type 1 students are labeled “Proactive Learners with Well-Organized Study Behaviors”. The second type (i.e., Factor 2) represents students who are poorly organized as well as being very likely to procrastinate. Type 2 students are labeled Disorganized Procrastinators. Hierarchical linear regression was employed to examine the relationship between student type and academic achievement as measured by current grade point averages (GPAs). The results showed significant differences in GPAs between Type 1 and Type 2 students at the .05 significance level. Furthermore, student type was found to be a significant predictor of academic achievement beyond and above students’ attribute variables including sex, age, major, and enrollment status. The study has several implications for educational researchers, practitioners, and policy makers in terms of improving college students' learning behaviors and outcomes.

Knowledge of HIV transmission risk behavior, and perceptions of risk among Haitian women living in Miami, Florida

This study was conducted to gain a more comprehensive understanding of HIV risk among Haitian women. The variables measured were: knowledge of HIV transmission, sexual risk behaviors, and perceptions of risk among Haitian women. The sociocultural aspect of the Haitian women's lives with regard to their risky behaviors was also examined. A total of 101 Haitian women (aged 25-53) who attended two comprehensive health clinics were interviewed. A combined questionnaire derived from both the ARM-Q and the RBA was used. In general, the women had good knowledge of the sexual transmission of HIV I AIDS and indicated that they were susceptible to HIV infection. However, knowledge and perceptions of risk were not translated into sexual risk-reduction behaviors with their partners. Multiplicity of partners and low incidence of condom use were the two major sexual risk factors isolated in this study. Results indicate Haitian women were more likely to use condoms if they possessed greater HIV knowledge and their sexual partners held more positive attitudes toward using condoms. Also, Haitian women may have failed to protect themselves because behavior changes could have involved threats to their social and economic survival, relationships and culturally sanctioned roles. This suggests the need to include male partners in HIV prevention interventions with Haitian women. Future research should focus on preventing high-risk behavior by improving knowledge, altering the male partners' attitudes toward condoms, and enhancing communication and negotiation skills. Nursing implications and recommendations for culturally sensitive and relevant AIDS prevention efforts are discussed.