Nursing Students’ Perceptions of a Silent Mentor Program in an Anatomy Course

Anatomy is a core course in undergraduate nursing curriculum. In today’s nursing profession, the integration of biosciences and humanities is increasingly emphasized. Anatomy is considered one of the most essential bioscience subjects for nursing practice. Thus, integrating a silent mentor program into the anatomy course can enrich the knowledge of undergraduate nursing students regarding biosciences and humanities and enhance their future patient-centered care competencies. This article aimed to understand the students’ perceptions of integrating a silent mentor program into the anatomy course. Qualitative approach included four focus group interviews. Themes were developed using the analytic induction technique. Twenty-five second-year undergraduate nursing students from a university were recruited. Semi-structured interviews were used to guide four focus group interviews. Focus group interviews were digitally recorded, transcribed, and analyzed. According to the preliminary findings, nursing students regarded silent mentors not only as teaching tools but also as tools to learn more than anatomy. Students greatly respected the silent mentors and were highly engaged in the anatomy course. They expected to become better students or future nurses. Four themes were identified from the interviews: emotional transformation, caring spirit, course engagement, and self-expectation. The findings suggest that the silent mentor program offered students a beneficial learning experience and stimulated their developing competency in nursing humanities. How the silent mentor program can help students achieve optimum academic performance and how their positive experience of the program and humanistic spirit translates into clinical practice in future should be studied further.     

Limit cycle analysis of nonlinear sampled-data systems by gain-phase margin approach

This work analyzes the limit cycle phenomena of nonlinear sampled-data systems by applying the methods of gain-phase margin testing, the M-locus and the parameter plane. First, a sampled-data control system with nonlinear elements is linearized by the classical method of describing functions. The stability of the equivalent linearized system is then analyzed using the stability equations and the parameter plane method, with adjustable parameters. After the gain-phase margin tester has been added to the forward open-loop system, exactly how the gain-phase margin and the characteristics of the limit cycle are related can be elicited by determining the intersections of the M-locus and the constant gain and phase boundaries. A concise method is presented to solve this problem. The minimum gain-phase margin of the nonlinear sampled-data system at which a limit cycle can occur is investigated. This work indicates that the procedure can be easily extended to analyze the limit cycles of a sampled-data system from a continuous-data system cases considered in the literature. Finally, a sampled-data system with multiple nonlinearities is illustrated to verify the validity of the procedure.