19916 research outputs found
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Natalie Deata Collins Diggs and family
No full textView from a distance of a light blue house and Natalie Deata Collins Diggs and others during a family visit to Collins farm in Imperial Valley (color photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1215/thumbnail.jp
Ruth and other youths in a van
No full textGroup portrait of children (left to right) Ruth, Van Collins, Helene Helen Brantley, and Natalie Deata Collins Diggs inside of a parked automobile in front of a barn (black-and-white photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1219/thumbnail.jp
EFFECTS OF APOLIPOPROTEIN E, DEPRESSION, AND ANXIETY ON COGNITIVE DECLINE AMONG OLDER ADULTS AT RISK FOR ALZHEIMER’S DISEASE
No full textAlzheimer\u27s disease (AD) is a widely recognized neurodegenerative disorder distinguished by degeneration of brain cells, a decline in memory, thinking, independence, and cognitive loss. AD is a prevalent cause of dementia, affecting about 6.5 million people and accounting for every sixth death in the United States. Prior research suggested that APOE ε4 and depression/ anxiety may act synergistically to increase the risk for dementia. Therefore, this study aimed to investigate the effects of APOE ε4 and depressive/anxiety symptoms on cognitive decline to help improve the prediction of cognitive decline over time. It was hypothesized that participants with APOE ε4 and depressive/anxiety symptoms would experience a greater cognitive decline than participants without APOE ε4 and depressive/anxiety symptoms. Moreover, it was hypothesized that the presence of both depressive/anxiety symptoms and APOE ε4 will interactively affect cognitive decline. Participants (N=947) data obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database were assessed for depression, anxiety, and cognition over three years. Multilevel- modeling was used to examine the longitudinal association between APOE ε4, depressive/anxiety symptoms, and cognition. Our findings supported that participants with APOE ε4 and depressive/anxiety symptoms are at higher risk for cognitive decline. Findings further indicated a significant three-way interaction (APOE ε4 X depressive/anxiety symptoms X occasion), demonstrating significant mean differences in cognition among the depressed and anxiety participant groups. Significant differences were also noted among participants having APOE ε4 two alleles. Therefore, it is suggested that better management of depression/anxiety could potentially reduce cognitive decline and dementia risk
Frances Grice and others
No full textView of Frances Grice and unidentified people while organizing for school desegregation (black-and-white photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1231/thumbnail.jp
Bonnie Johnson and Larry Ealy
No full textGroup portrait of Bonnie Johnson, Larry Ealy, and two unidentified people (color photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1242/thumbnail.jp
Leveraging the Protocols for Native American Archival Materials to Support Indigenous Digital Collections: A Case Study from the Sherman Indian Museum Digital Project
No full textThe Sherman Indian Museum houses a rich collection of archival materials that document the student experience, institutional culture, and community history of California’s sole remaining off-reservation American Indian boarding school. To broaden access to its collection for community and scholarly use, the museum partnered with the University of California, Riverside Library on a grant-funded project to digitize and provide online access to nearly 14,000 items from their collection. With a shared understanding of the unique ethical and communal protocols present in a digital project of this scope, the two repositories turned toward the standards and goals articulated in Protocols for Native American Archival Materials (PNAAM) for guidance. This case study details how the principles outlined in PNAAM were incorporated into the Sherman Indian Museum Digital Project to help guide this collaborative effort between an Indigenous and non-Indigenous institution. It discusses how PNAAM was not only utilized to establish and maintain an effective partnership between the repositories, but also to ensure that the process to digitize and make these materials accessible online was conducted in a culturally-responsible and -responsive manner. This approach highlights a framework that can then be adapted by similar cross-institutional digital projects working with Indigenous collections
Carolyn Tillman with anti-smoking materials
No full textPortrait of Carolyn Tillman at a table working as a public health educator on an anti-smoking campaign (color photograph).https://scholarworks.lib.csusb.edu/bridges-photographs/1257/thumbnail.jp
Information Based Approach for Detecting Change Points in Inverse Gaussian Model with Applications
Get PDFChange point analysis is a method used to estimate the time point at which a change in the mean or variance of data occurs. It is widely used as changes appear in various datasets such as the stock market, temperature, and quality control, allowing statisticians to take appropriate measures to mitigate financial losses, operational disruptions, or other adverse impacts. In this thesis, we develop a change point detection procedure in the Inverse Gaussian (IG) model using the Modified Information Criterion (MIC). The IG distribution, originating as the distribution of the first passage time of Brownian motion with positive drift, offers flexibility and effectively models a wide range of data shapes. Moreover, it handles outliers and skewness better than some other distributions. Extensive simulation studies are conducted to illustrate the performance of our proposed method compared to existing methods across various settings, in terms of type I error, power, and confidence set. The results indicate that our MIC-based approach is comparable to the Schwarz Information Criterion method. Further, the proposed method has an advantage, especially when the change occurs at the very beginning or at the very end of the dataset. Finally, we present two real-world data applications to demonstrate the advantage of our proposed method
SUPPORTING FORMERLY INCARCERATED INDIVIDUALS IN HIGHER EDUCATION: A QUANTITATIVE STUDY
Get PDFPeople from various backgrounds in the United States have college aspirations. However, those with marginalized characteristics, particularly formerly incarcerated individuals, face multiple barriers in their quest for higher education. This study carries a twofold purpose: (a) determining the extent to which formerly incarcerated individuals in higher education in California feel supported and (b) determining types of support associated with educational success among formerly incarcerated individuals in higher education in California. Using the Person-in-Environment Framework, the nonprobability sampling methods of convenience and snowball, and a quantitative research design, this study surveyed 51 formerly incarcerated students enrolled across the California State University system (N = 51). Results of this study reveal that 86.2% of formerly incarcerated students feel supported in their higher education pursuit. Results also indicate that 92.0 percent of the survey participants received many services available at their current institution. Elsewhere, family support, textbook vouchers, technology assistance, food assistance, and support from friends were the most impactful forms of assistance for the participants. The findings of this study have major implications for the Person-in-Environment theory, social work research, social work practice, and higher education.
Keywords: formerly incarcerated individuals, higher education, student support, Project Rebound, California State University Syste
STUDY EXPLORING FEELINGS OF SELF-BLAME AND SHAME AMONG INDIVIDUALS RAISED BY SEVERELY MENTALLY ILL CAREGIVERS
Get PDFThe focus of this quantitative research project is to explore feelings of self- blame and/or shame among people who were raised by a primary caregiver with severe mental illness. Examples of serious mental illness (SMI) that are used in this study are bipolar disorder, schizophrenia, and major depressive disorder (MDD) if psychotic symptoms are present, or it is treatment-resistant. Twenty-six adult participants were recruited via the researcher’s social media account and through others’ sharing the research project information. Demographic data and data regarding self-blame and shame as a child and as an adult and if they felt their family, friendships, and intimate relationships have been affected as a result of these feelings were collected using Likert scale response options. Two dichotomous yes or no questions at the end of the survey regarding their use of therapy specifically for these issues or if they have sought therapy for other issues were asked. Results indicated that there is a statistically significant moderate positive correlation between having shame as an adult and as a child, meaning the higher the shame as a child, the higher as an adult. Furthermore, there was a stronger positive correlation between adulthood self-blame with adulthood shame, with high self-blame associated with high shame. The potential contributions to micro social work practice are beneficial to the validation of a client’s narrative and offer hope for meaningful and lasting change. Additionally, we can form more effective ways of assessing the person and develop more targeted individual and family interventions in therapy