111 research outputs found

    Toward Ethical and Inclusive Descriptive Practices

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    This case study describes the context which galvanized our Collection Management unit at UCLA Library Special Collections to collectively craft a descriptive practices statement within a study group focused on an anti-oppressive approach to discovery and access. This paper discusses the planning and design of the study group, our direct engagement at meetings, collaborative iteration, and liberatory pedagogical strategies that enabled the statement’s publication, and its impact within our department, library, and beyond. This work speaks to radical descriptive change and provides a potential path for the development of ethical and inclusive descriptive practices at other institutions

    Computational analysis of expression of human embryonic stem cell-associated signatures in tumors

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    <p>Abstract</p> <p>Background</p> <p>The cancer stem cell model has been proposed based on the linkage between human embryonic stem cells and human cancer cells. However, the evidences supporting the cancer stem cell model remain to be collected. In this study, we extensively examined the expression of human embryonic stem cell-associated signatures including core genes, transcription factors, pathways and microRNAs in various cancers using the computational biology approach.</p> <p>Results</p> <p>We used the class comparison analysis and survival analysis algorithms to identify differentially expressed genes and their associated transcription factors, pathways and microRNAs among normal vs. tumor or good prognosis vs. poor prognosis phenotypes classes based on numerous human cancer gene expression data. We found that most of the human embryonic stem cell- associated signatures were frequently identified in the analysis, suggesting a strong linkage between human embryonic stem cells and cancer cells.</p> <p>Conclusions</p> <p>The present study revealed the close linkage between the human embryonic stem cell associated gene expression profiles and cancer-associated gene expression profiles, and therefore offered an indirect support for the cancer stem cell theory. However, many interest issues remain to be addressed further.</p

    Can You Dig It? Diamonds in Your Own Blackyard: Excavating and Preserving Audiovisual Gems Within the Golden State Mutual Life Insurance Company Records

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    UCLA Library Special Collections is home to the records of the Golden State Mutual (GSM) Life Insurance Company, one of the first Black-owned and operated insurance companies in the country. Among the company’s rich documentation exists a large selection of audiovisual materials that tell a story of African American entrepreneurship and Los Angeles history, and which have recently started being digitized to be made available online through generous grant funding from the National Film Preservation Foundation and the John Randolph Haynes and Dora Haynes Foundation

    Mapping Landscape Values: Issues, Challenges and Lessons Learned from Field Work on the Olympic Peninsula, Washington

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    In order to inform natural resource policy and land management decisions, landscape values mapping (LVM) is increasingly used to collect data about the meanings that people attach to places and the activities associated with those places. This type of mapping provides geographically referenced data on areas of high density of values or associated with different types of values. This article focuses on issues and challenges that commonly occur in LVM, drawing on lessons learned in the US Forest Service Olympic Peninsula Human Ecology Mapping Project. The discussion covers choosing a spatial scale for collecting data, creating the base map, developing data collection strategies, the use of ascribed versus assigned values, and the pros and cons of different mapping formats. Understanding the common issues and challenges in LVM will assist policy makers, land managers, and researchers in designing a LVM project that effectively balances project goals, time and budgetary constraints, and personnel resources in a way that ensures the most robust data and inclusive public participation
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