The reduced order model problem in distributed parameter systems adaptive identification and control

The basic assumption that a large space structure can be decoupled preceding the application of reduced order active control was considered and alternative solutions to the control of such structures (in contrast to the strict modal control) were investigated. The transfer function matrix from the actuators to the sensors was deemed to be a reasonable candidate. More refined models from multivariable systems theory were studied and recent results in the multivariable control field were compared with respect to theoretical deficiencies and likely problems in application to large space structures

The reduced order model problem in distributed parameter systems adaptive identification and control

The reduced order model problem in distributed parameter systems adaptive identification and control is investigated. A comprehensive examination of real-time centralized adaptive control options for flexible spacecraft is provided

Simulated lumped-parameter system reduced-order adaptive control studies

Two methods of interpreting the misbehavior of reduced order adaptive controllers are discussed. The first method is based on system input-output description and the second is based on state variable description. The implementation of the single input, single output, autoregressive, moving average system is considered

Semi-analytic method for slow light photonic crystal waveguide design

We present a semi-analytic method to calculate the dispersion curves and the group velocity of photonic crystal waveguide modes in two-dimensional geometries. We model the waveguide as a homogenous strip, surrounded by photonic crystal acting as diffracting mirrors. Following conventional guided-wave optics, the properties of the photonic crystal waveguide may be calculated from the phase upon propagation over the strip and the phase upon reflection. The cases of interest require a theory including the specular order and one other diffracted reflected order. The computational advantages let us scan a large parameter space, allowing us to find novel types of solutions.Comment: Accepted by Photonics and Nanostructures - Fundamentals and Application

A qualitative comparison of DSM depression criteria to language used by older church-going African Americans

Objective: Depression in late life is associated with substantial suffering, disability, suicide risk, and decreased health-related quality of life. According to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), a depression diagnosis is derived from a constellation of symptoms that may be described differently by different people. For example, the DSM language may be inadequate in capturing these symptoms in certain populations such as African-Americans, whose rates of depression misdiagnosis is high. Methods: This study reports the findings from a church-based, qualitative study with older African Americans (n = 50) regarding the language they use when discussing depression and depression treatment, and how this compares to the DSM-IV depression criteria. Content analyses of the in-depth discussions with African-American male and female focus group participants resulted in a deeper understanding of the language they used to describe depression. This language was then mapped onto the DSM-IV depression criteria. Results: While some words used by the focus group participants mapped well onto the DSM-IV criteria, some of the language did not map well, such as language describing irritability, negative thought processes, hopelessness, loneliness, loss of control, helplessness, and social isolation. Conclusions: The focus group setting provided insight to the language used by older, church-going African-Americans to describe depression. Implications include the advantages of using qualitative data to help inform clinical encounters with older African-Americans.This project was supported by the Program for Positive Aging in the Department of Psychiatry at the University of Michigan, and the original study was titled ‘Attitudes, perceptions, and beliefs pertaining to mental health, depression, and depression care of elder African-American church attendees’ (Principal Investigator: Helen Kales, MD, UM Department of Psychiatry).Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152353/1/Akinyemi Watkins Kavanagh Johnson-Lawrence Lynn Kales_2017_A qualitative comparison of DSM depression criteria to language used by older church going African Americans.pd

Peroxisome proliferator-activated receptor delta limits the expansion of pathogenic Th cells during central nervous system autoimmunity.

Peroxisome proliferator-activated receptors (PPARs; PPAR-alpha, PPAR-delta, and PPAR-gamma) comprise a family of nuclear receptors that sense fatty acid levels and translate this information into altered gene transcription. Previously, it was reported that treatment of mice with a synthetic ligand activator of PPAR-delta, GW0742, ameliorates experimental autoimmune encephalomyelitis (EAE), indicating a possible role for this nuclear receptor in the control of central nervous system (CNS) autoimmune inflammation. We show that mice deficient in PPAR-delta (PPAR-delta(-/-)) develop a severe inflammatory response during EAE characterized by a striking accumulation of IFN-gamma(+)IL-17A(-) and IFN-gamma(+)IL-17A(+) CD4(+) cells in the spinal cord. The preferential expansion of these T helper subsets in the CNS of PPAR-delta(-/-) mice occurred as a result of a constellation of immune system aberrations that included higher CD4(+) cell proliferation, cytokine production, and T-bet expression and enhanced expression of IL-12 family cytokines by myeloid cells. We also show that the effect of PPAR-delta in inhibiting the production of IFN-gamma and IL-12 family cytokines is ligand dependent and is observed in both mouse and human immune cells. Collectively, these findings suggest that PPAR-delta serves as an important molecular brake for the control of autoimmune inflammation

The ELAIS deep X-ray survey - I. Chandra source catalogue and first results

We present an analysis of two deep (75 ks) Chandra observations of the European Large Area Infrared Space Observatory (ISO) Survey (ELAIS) fields N1 and N2 as the first results from the ELAIS deep X-ray survey. This survey is being conducted in well-studied regions with extensive multiwavelength coverage. Here we present the Chandra source catalogues along with an analysis of source counts, hardness ratios and optical classifications. A total of 233 X-ray point sources are detected in addition to two soft extended sources, which are found to be associated with galaxy clusters. An overdensity of sources is found in N1 with 30 per cent more sources than N2, which we attribute to large-scale structure. A similar variance is seen between other deep Chandra surveys. The source count statistics reveal an increasing fraction of hard sources at fainter fluxes. The number of galaxy-like counterparts also increases dramatically towards fainter fluxes, consistent with the emergence of a large population of obscured sources