Improvement of modal scaling factors using mass additive technique

A general investigation into the improvement of modal scaling factors of an experimental modal model using additive technique is discussed. Data base required by the proposed method consists of an experimental modal model (a set of complex eigenvalues and eigenvectors) of the original structure and a corresponding set of complex eigenvalues of the mass-added structure. Three analytical methods,i.e., first order and second order perturbation methods, and local eigenvalue modification technique, are proposed to predict the improved modal scaling factors. Difficulties encountered in scaling closely spaced modes are discussed. Methods to compute the necessary rotational modal vectors at the mass additive points are also proposed to increase the accuracy of the analytical prediction

A new method to real-normalize measured complex modes

A time domain subspace iteration technique is presented to compute a set of normal modes from the measured complex modes. By using the proposed method, a large number of physical coordinates are reduced to a smaller number of model or principal coordinates. Subspace free decay time responses are computed using properly scaled complex modal vectors. Companion matrix for the general case of nonproportional damping is then derived in the selected vector subspace. Subspace normal modes are obtained through eigenvalue solution of the (M sub N) sup -1 (K sub N) matrix and transformed back to the physical coordinates to get a set of normal modes. A numerical example is presented to demonstrate the outlined theory

Personal Recovery Among People at Risk for Developing Serious Mental Health Problems:A Qualitative Systematic Review

OBJECTIVE: Personal recovery refers to a person's pursuit of a full, meaningful life despite the potentially debilitating impact of a mental illness. An evidence base describing personal recovery among people at risk for developing a mental illness is lacking, limiting the potential for mental health services to support personal recovery. To address this gap, the authors synthesized the extant research describing personal recovery among people at risk for developing a mental illness.METHODS: A systematic search of several literature databases (MEDLINE, Embase, APA PsycInfo, Web of Science Core Collection, and Cochrane Library) was conducted to retrieve qualitative and case studies and first-person accounts. The Joanna Briggs Institute guidelines for systematic reviews were followed. Included studies reported on participants at variable risk for developing a schizophrenia spectrum, bipolar, major depressive, or borderline personality disorder. Articles were retrieved through a librarian-assisted search and through use of additional strategies (e.g., expert consultation). Abstracts were screened by the research team, and themes were developed by using thematic synthesis.RESULTS: The 36 included articles were synthesized, and six themes were generated: difficulties and challenges; establishing an understanding of, and finding ways to cope with, one's mental health challenges; reestablishing a sense of agency and personhood; receiving support from people and services, as well as restoring relationships; reestablishing hope, meaning, and purpose; and overcoming stigma and destigmatizing mental illness in others.CONCLUSIONS: These findings provide a conceptual foundation that can guide future research on personal recovery and clinical interventions that foster it among people at risk for mental illness.</p