1,541 research outputs found
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No full textTranscript produced by the Center for Public History, University of West Georgia.Transcripts of oral history interviews of Daniel J. Kaufman, GGC's charter president, conducted by Jennifer H. Stephens, Associate Vice President of Public Affairs conducted October 21 and 30, 2013.Office of Public Affairs, Library, Office of Educational Technolog
Cult: A Composite Novel
No full textCult (redacted)
The first component of the thesis is a composite novel called Cult which falls into two parts with seven narratives in each. Part 1 tracks the protagonist, Ellen, from her first involvement with the cult through to her eventually leaving it. Although fiction, the first half of the book answers the kinds of questions the author is asked when people discover that she was once a sannyasin (a follower of the guru Bhagwan Shree Rajneesh). While the experiences of meditation, group therapy and communal living are all faithfully rendered within the stories, the need for strong characters, narrative drive and a lightness of touch takes precedence.
Part 2 picks up Ellen’s story some twenty or so years later and explores what becomes of her in middle age. It also looks at other groups in society, such as academia, the law and the internet dating community which each have their own jargon, hierarchies, rituals and rules but are not considered to be cults.
The book examines the question raised in the Epigraph, ‘how do we be together when we feel so alone’ with a focus on relationships other than the familial and the romantic.
Collisions, Chasms and Connections: a Performative Exploration of the Composite Novel Form
The second part of the thesis is both a critical and creative response to three contemporary American books: Olive Kitteridge by Elizabeth Strout; A Visit from the Goon Squad by Jennifer Egan; and Legend of a Suicide by David Vann. The critical element comprises a close reading of the three books; a chronological reconstruction of their overarching storylines; and a consideration of what their authors have said about writing the books. It concludes that, in the composite novel, the simultaneous presentation of multiple views and storylines operate much like a 3D image to give the impression of depth to the characters and situations rendered. The creative element of the essay is a playful and personal response to the texts
A Comparative Analysis of the Equity Outcomes in Three Sugarcane–Ethanol Systems
No full textThis article identifies equity outcomes associated with three biofuel systems in Brazil, Ethiopia, and Guatemala. Acknowledging that winners and losers are socially and politically generated, the article identifies some of the factors behind the distribution of winners and losers along different stages of three sugarcane–ethanol supply chains. Analyzing the outcomes for equity within each case study reveals an uneven distribution that, we argue, is related to the procedure and structure of the given sugarcane–ethanol system, and the recognition of the impacts on different actors within those structures. Increasing equity in sugarcane–ethanol systems will require greater openness in decision-making processes, in order that multiple voices are taken into account in the promotion, production, and consumption of biofuels—particularly those of smaller and less powerful actors
Mixedness determination of rare earth-doped ceramics
No full textThe lack of chemical uniformity in a powder mixture, such as clustering of a minor component, can lead to deterioration of materials properties. A method to determine powder mixture quality is to correlate the chemical homogeneity of a multi-component mixture with its particle size distribution and mixing method. This is applicable to rare earth-doped ceramics, which require at least 1-2 nm dopant ion spacing to optimize optical properties. Mixedness simulations were conducted for random heterogeneous mixtures of Nd-doped LaF3 mixtures using the Concentric Shell Model of Mixedness (CSMM). Results indicate that when the host to dopant particle size ratio is 100, multi-scale concentration variance is optimized. In order to verify results from the model, experimental methods that probe a mixture at the micro, meso, and macro scales are needed. To directly compare CSMM results experimentally, an image processing method was developed to calculate variance profiles from electron images. An in-lens (IL) secondary electron image is subtracted from the corresponding Everhart-Thornley (ET) secondary electron image in a Field-Emission Scanning Electron Microscope (FESEM) to produce two phases and pores that can be quantified with 50 nm spatial resolution. A macro was developed to quickly analyze multi-scale compositional variance from these images. Results for a 50:50 mixture of NdF3 and LaF3 agree with the computational model. The method has proven to be applicable only for mixtures with major components and specific particle morphologies, but the macro is useful for any type of imaging that produces excellent phase contrast, such as confocal microscopy. Fluorescence spectroscopy was used as an indirect method to confirm computational results for Nd-doped LaF3 mixtures. Fluorescence lifetime can be used as a quantitative method to indirectly measure chemical homogeneity when the limits of electron microscopy have been reached. Fluorescence lifetime represents the compositional fluctuations of a dopant on the nanoscale while accounting for billions of particles in a fast, non-destructive manner. The significance of this study will show how small-scale fluctuations in homogeneity limit the optimization of optical properties, which can be improved by the proper selection of particle size and mixing method.Ph.D.Includes bibliographical referencesby Jennifer H.l Czerepinsk
Selected Letters from the Ivan S. Gilbert Collection of Stephens Family Travel Letters and Ephemera
No full textThe resource can be accessed here:
https://library.osu.edu/projects/stephensletters/stephens_letters.htmlThis edition belongs to a series of collaboratively produced electronic editions of previously unpublished nineteenth-century American manuscripts held in the Rare Books and Manuscripts Library (RBMS) at The Ohio State University Libraries. Each text was initially edited in connection with an undergraduate or graduate course on electronic textual editing offered by H. Lewis Ulman, Associate Professor of English at The Ohio State University
Classification of differentially activated groups of fibroblasts using morphodynamic and motile features
No full textFibroblasts play essential roles in cancer progression, exhibiting activation states that can either promote or inhibit tumor growth. Understanding these differential activation states is critical for targeting the tumor microenvironment (TME) in cancer therapy. However, traditional molecular markers used to identify cancer-associated fibroblasts are limited by their co-expression across multiple fibroblast subtypes, making it difficult to distinguish specific activation states. Morphological and motility characteristics of fibroblasts reflect their underlying gene expression patterns and activation states, making these features valuable descriptors of fibroblast behavior. This study proposes an artificial intelligence-based classification framework to identify and characterize differentially activated fibroblasts by analyzing their morphodynamic and motile features. We extract these features from label-free live-cell imaging data of fibroblasts co-cultured with breast cancer cell lines using deep learning and machine learning algorithms. Our findings show that morphodynamic and motile features offer robust insights into fibroblast activation states, complementing molecular markers and overcoming their limitations. This biophysical state-based cellular classification framework provides a novel, comprehensive approach for characterizing fibroblast activation, with significant potential for advancing our understanding of the TME and informing targeted cancer therapies. (c) 2025 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution-NonCommercial 4.0International (CC BY-NC) license
Tagging of Biomedical Articles on CiteULike: A Comparison of User, Author and Professional Indexing
No full textThis paper examines the context of online indexing from the viewpoint of three different groups: users, authors, and professional indexers. User tags, author keywords and descriptors were collected from academic journal articles, which were both indexed in Pubmed and tagged on CiteULike, and analysed. Descriptive statistics, informetric measures, and thesaural term comparison shows that there are important differences in the use of keywords between the three groups in addition to similarities which can be used to enhance support for search and browse. While tags and author keywords were found that matched descriptors exactly, other terms which did not match but provided important expansion to the indexing lexicon were found. These additional terms could be used to enhance support for searching and browsing in article databases as well as to provide invaluable data for entry vocabulary and emergent terminology for regular updates to indexing systems. Additionally, the study suggests that tags support organisation by association to task, projects and subject while making important connections to traditional systems which classify into subject categories
Status of the European green crab, Carcinus maenas, (aka 5-spine crab) in Oregon estuaries, report for 2022
No full textSylvia Behrens Yamada (Integrative Biology, Oregon State University), Cameron Royer (Integrative Biology, Oregon State University), Shon Schooler (South Slough National Estuarine Research Reserve), Rebecca Flitcroft (Pacific Northwest Research Station, Corvallis Forestry Sciences Lab), Mitch Vance (Oregon Department of Fish and Wildlife), Andrea Randall, Jennifer Fisher (NOAA Fisheries - NWFSC Hatfield Marine Science Center) ; report prepared for: Stephen H. Phillips (Program Manager, Aquatic Nuisance Species Project), Pacific States Marine Fisheries Commission.Title from PDF title page (viewed on April 17, 2023).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 17-19).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Development of base metal-catalyzed C—H functionalization reactions
No full textFor decades, synthetic organic chemists have constructed organic molecules by manipulating functionality already existing on the scaffold. Simple chemical feedstocks, typically derived from petroleum, are pre-installed with oxidized moieties, which can then undergo a series of transformations known as functional group manipulations to build up molecular complexity. Recently, a different approach has emerged wherein inert and ubiquitous C—H bonds in organic molecules can be specifically targeted for chemical transformations, obviating the need for preexisting functional groups. However, this approach confronts organic chemists with an inherent and paradoxical challenge of developing reagents and catalysts that are reactive enough to cleave these strong and inert C—H bonds, while still being able to functionalize in a selective and predictable manner.
Nature has evolved powerful metalloenzymes based on earth abundant base metals like iron that are capable of selectively cleaving and functionalizing C—H bonds. Cytochrome P450 enzymes contain an iron-heme center that reacts with oxygen and water to form high-valent iron-oxo intermediates. These species can directly and selectively convert C—H bonds into C—O bonds, even in complex molecule settings. However, the analogous transformation of C—H bonds to C—N and C—C bonds via metallonitrenes and metallocarbenes is not known in nature. The majority of synthetic, small molecule catalysts thus far developed for these C—H functionalization processes have been comprised of precious or noble metals like palladium, rhodium, ruthenium, and iridium. This work describes the discovery and development of two novel base metal catalysts for C—H amination and alkylation that proceed through high-valent metallonitrene and carbene intermediates.
First, a C—H amination catalyst, manganese tert-butylphthalocyanine [Mn(tBuPc)], is described. This catalyst is an outlier to the reactivity-selectivity paradigm, i.e. is capable of oxidizing strong aliphatic C(sp3)—H bonds while displaying chemoselectivity (i.e. tolerance of more oxidizable functionality). It is unique in its capacity to functionalize all types of C(sp3)—H bonds intramolecularly, while displaying excellent chemoselectivity in the presence of π-functionality. Mechanistic studies indicate that [Mn(tBuPc)] transfers bound nitrenes to C(sp3)—H bonds via a pathway that lies between concerted C—H insertion, observed with reactive noble metals (e.g. rhodium), and stepwise radical C—H abstraction/rebound, observed with chemoselective base metals (e.g. iron). Rather than achieving a blending of effects, [Mn(tBuPc)] aminates even 1° aliphatic and propargylic C—H bonds, reactivity and selectivity unusual for previously known catalysts.
Second, a C—H alkylation catalyst, iron phthalocyanine [FePc], is described that is capable of alkylating allylic, benzylic and ethereal C(sp3)—H bonds via a metallocarbene intermediate. The catalytic transformation of a C(sp3)—H bond to a C(sp3)—C bond via an iron carbene intermediate represents a long-standing challenge. Despite the success of enzymatic and small molecule iron catalysts to mediate challenging C(sp3)—H oxidations and aminations via high-valent iron oxos and nitrenes, C(sp3)—H alkylations via isoelectronic iron carbene intermediates have thus far been unsuccessful. Iron carbenes have been inert, or shown to favor olefin cyclopropanation and heteroatom-hydrogen insertion. Mechanistic investigations support that an electrophilic iron carbene mediates homolytic C—H cleavage and rebounds from the resulting organoiron intermediate to form the new C—C bond; both of these steps are tunable via catalyst modifications. These studies suggest that for iron carbenes, distinct from other late metal carbenes, C—H cleavage is partially rate-determining and must be promoted to effect reactivity.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Jennifer Griffin, accepted the attached license on 2017-10-06 at 15:48.The student, Jennifer Griffin, submitted this Dissertation for approval on 2017-10-06 at 15:54.This Dissertation was approved for publication on 2017-10-10 at 11:08.DSpace SAF Submission Ingestion Package generated from Vireo submission #11672 on 2018-03-13 at 09:55:16Made available in DSpace on 2018-03-13T15:21:03Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-10-10Embargo set by: Seth Robbins for item 105147
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105147
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User’s Guide to ADMB2R: A Set of AD Model Builder Output Routines Compatible with the R Statistics Language
No full textADMB2R is a collection of AD Model Builder routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 ADMB2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference.
We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings.
We thus developed the ADMB2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R.
Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to
automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later.
We offer ADMB2R to others in the hope that they will find it useful. (PDF contains 30 pages
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