The development of a prayer ministry group in a local church for baby boomers

https://place.asburyseminary.edu/ecommonsatsdissertations/1586/thumbnail.jp

OFHEO Freddie Mac Report of Examination

The cover letter of this report includes a message from Chief Examiner Calhou

OFHEO Freddie Mac Report of Examination

The cover letter of this report includes a message from Chief Examiner Calhou

OFHEO Freddie Mac Report of Examination

The Cover Letter to This Report Includes a Letter From Scott Calhoun to Maud Mate

OFHEO Freddie Mac Report of Examination

The start to this document contains a cover letter from Scott Calhoun to Maud Mate

Long-lived quantum coherence in photosynthetic complexes at physiological temperature

Photosynthetic antenna complexes capture and concentrate solar radiation by transferring the excitation to the reaction center which stores energy from the photon in chemical bonds. This process occurs with near-perfect quantum efficiency. Recent experiments at cryogenic temperatures have revealed that coherent energy transfer - a wavelike transfer mechanism - occurs in many photosynthetic pigment-protein complexes (1-4). Using the Fenna-Matthews-Olson antenna complex (FMO) as a model system, theoretical studies incorporating both incoherent and coherent transfer as well as thermal dephasing predict that environmentally assisted quantum transfer efficiency peaks near physiological temperature; these studies further show that this process is equivalent to a quantum random walk algorithm (5-8). This theory requires long-lived quantum coherence at room temperature, which never has been observed in FMO. Here we present the first evidence that quantum coherence survives in FMO at physiological temperature for at least 300 fs, long enough to perform a rudimentary quantum computational operation. This data proves that the wave-like energy transfer process discovered at 77 K is directly relevant to biological function. Microscopically, we attribute this long coherence lifetime to correlated motions within the protein matrix encapsulating the chromophores, and we find that the degree of protection afforded by the protein appears constant between 77 K and 277 K. The protein shapes the energy landscape and mediates an efficient energy transfer despite thermal fluctuations. The persistence of quantum coherence in a dynamic, disordered system under these conditions suggests a new biomimetic strategy for designing dedicated quantum computational devices that can operate at high temperature.Comment: PDF files, 15 pages, 3 figures (included in the PDF file

A longitudinal investigation of the relationship between unconditional positive self-regard and posttraumatic growth

The present study investigated whether unconditional positive self-regard (UPSR) is associated with subsequent posttraumatic growth (PTG) following the experience of a traumatic life event. A total of 143 participants completed an online questionnaire to assess the experience of traumatic life events, posttraumatic stress, well-being and UPSR (Time 1). Three months later, 76 of the participants completed measures of well-being and perceived PTG (Time 2). Analyses were conducted to test for association between UPSR at Time 1 and perceptions of PTG at Time 2. Results showed that higher UPSR at T1 was associated with higher perceived PTG at Time 2. To measure actual growth, individual differences in well-being were computed between Time 1 and Time 2. Results showed that higher UPSR at T1 was associated with higher actual PTG. Implications of these findings are discussed and future directions for research in this area considered. Specifically, results are consistent with a person-centered understanding of therapeutic approaches to the facilitation of PT

Correlation of Clinical Symptoms with Temporal and Frontoparietal Lobe Response During an Auditory \u27Odball\u27 Task of Chronic and First Episode Schizophrenia Patients (N=190)

The disorder of schizophrenia is defined by the presence of positive and negative clinical symptoms. One of the hallmark positive symptoms is the presence of auditory hallucinations which have previously been studied to involve bilateral temporal lobe anamolies. Our study seeks to further define and potentially quantify these anamolies in temporal lobe response by looking at the correlation of clinical symptoms with temporal lobe activation. To accomplish this task we have subjected 22 first episode and 64 chronic patients along with 104 matched healthy controls to a functional MRI scan while undergoing an auditory oddball\u27 task. Analysis of this data is unique in the use of independent component analysis (ICA) via Matlab toolbox (GIFT). Results showed expected positive activation patterns for temporal lobe activity across all participants but revealed no statistically significant differences within patient populations (first episode (FE) vs. chronic) or between patients and matched healthy controls. We observed strong correlation coefficients for both patient groups as positive symptoms were negatively correlated to temporal lobe response (FE rho = -0.31, chronic rho = -0.20). Negative symptoms were positively correlated but only statistically significant for first episode patients (rho = +0.23). This data is consistent with other studies involving EEG recordings of P300 amplitude response. Finally, in analyzing frontoparietal (FP) lobe activation we showed statistically signficant activation differences between patients and controls. This result could potentially be used as a future diagnostic test. In addition, we uncovered another point of asymmetry in first episode patients whose right FP lobe showed a nearly two-fold correlation coefficient value versus the left FP lobe for negative symptoms. This unique asymmetry could offer a new area of focus for future researchers into the pathophysiology of schizophrenia.\u2

An ICA with reference approach in identification of genetic variation and associated brain networks

To address the statistical challenges associated with genome-wide association studies, we present an independent component analysis (ICA) with reference approach to target a specific genetic variation and associated brain networks. First, a small set of single nucleotide polymorphisms (SNPs) are empirically chosen to reflect a feature of interest and these SNPs are used as a reference when applying ICA to a full genomic SNP array. After extracting the genetic component maximally representing the characteristics of the reference, we test its association with brain networks in functional magnetic resonance imaging (fMRI) data. The method was evaluated on both real and simulated datasets. Simulation demonstrates that ICA with reference can extract a specific genetic factor, even when the variance accounted for by such a factor is so small that a regular ICA fails. Our real data application from 48 schizophrenia patients (SZs) and 40 healthy controls (HCs) include 300K SNPs and fMRI images in an auditory oddball task. Using SNPs with allelic frequency difference in two groups as a reference, we extracted a genetic component that maximally differentiates patients from controls (p < 4 × 10−17), and discovered a brain functional network that was significantly associated with this genetic component (p < 1 × 10−4). The regions in the functional network mainly locate in the thalamus, anterior and posterior cingulate gyri. The contributing SNPs in the genetic factor mainly fall into two clusters centered at chromosome 7q21 and chromosome 5q35. The findings from the schizophrenia application are in concordance with previous knowledge about brain regions and gene function. All together, the results suggest that the ICA with reference can be particularly useful to explore the whole genome to find a specific factor of interest and further study its effect on brain