Identifying and Adding Institutional Repository Content from and for your Institution’s Affinity Groups

No repository is successful without content to disseminate. We will discuss how IR administrators can go about targeting certain constituencies on their campus with content to share, such as working with subject liaisons in the library to outreach to departments on campus and targeting new incoming faculty and faculty with a research-specific need of the IR, such as a data management plan. We will also consider the impact capstone and research projects from the student body could have on your IR, as well as how to target campus publications struggling to transition to electronic format or faculty who wish to start an e-journal

A View from Melrose

An essay by President Vivian A. Bull: Another Linfield \u27Defining Moment.\u2

Strategies for Sustaining Self Used by Family Caregivers for Older Adults With Dementia

The negative health consequences of caring for an older adult family member with dementia are well documented. However, not all family caregivers experience these negative health consequences. The purposes of this study were to describe strategies family caregivers use to help them continue to provide care for an older family member with dementia despite challenges and describe these family caregivers’ resilience and psychological distress. A mixed methods design was used with a narrative approach dominant and standardized scales for resilience and psychological distress used to enhance the description of the sample. Data were collected through telephone interviews with 18 family caregivers residing in an urban area. The findings indicate that family caregivers used four strategies to sustain the self: drawing on past life experiences, nourishing the self, relying on spirituality, and seeking information about dementia. Understanding strategies used by family caregivers to sustain themselves is essential for providing holistic nursing care and developing effective interventions

Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm

This paper combines the idea of a hierarchical distributed genetic algorithm with different inter-agent partnering strategies. Cascading clusters of sub-populations are built from bottom up, with higher-level sub-populations optimising larger parts of the problem. Hence higher-level sub-populations search a larger search space with a lower resolution whilst lower-level sub-populations search a smaller search space with a higher resolution. The effects of different partner selection schemes for (sub-)fitness evaluation purposes are examined for two multiple-choice optimisation problems. It is shown that random partnering strategies perform best by providing better sampling and more diversity