12,741 research outputs found
Ms. Courtney Chartier, RWWL AUC, August 2011
No full textThis video is a conversation with Ms. Courtney Chartier. Ms. Chartier talks about her work on the "New Georgia Encyclopedia" and "Online Voter Education Project." Andrea Jackson, AUC Woodruff Library, is the interviewer
Ms. Neely Terrell, RWWL AUC, March 2012
No full textThis video is a conversation with Ms. Neely Terrell. Ms. Terrell talks about her book, "Super Singles Activate". Anthony Kinsey and Jahnesta Horney, AUC Woodruff Library, are the interviewers
Ms. Felesha Love, Spelman College, January 2016
No full textThis video is a conversation with Felesha Love. Ms. Love talks about her book, "Brave Leap to Freedom: Integrating Mind, Body, and Spirit to Cultivate Healthy Relationships". Jordan Moore, AUC Woodruff Library, is the interviewer
Multivariate analysis methods for veterinary diagnostics using SIFT-MS
No full textSelected ion flow tube mass spectroscopy (SIFT-MS) is an analytical method for the
investigation of volatile organic compounds (VOCs). It produces mass to charge (m/z) ratio
ion counts with a range of 10-200 m/z. Current data analysis involves sifting through the
spectra files one at a time looking for peaks of interest. This is time consuming and requires
expert knowledge. This thesis proposes, implements and demonstrates a novel approach to
the analysis of SIFT-MS data using multivariate techniques similar to those employed to
analyse electronic nose and gas chromatography mass spectroscopy (GCMS) data. The
methodology was developed using a set of samples created in the laboratory that belonged
to two groups which contained different VOCs found in biological samples. The
methodology requires the removal of the m/z peaks associated with the precursors, then
principal component analysis (PCA) and partial least squares discriminant analysis
(PLSDA) methods were evaluated for biomarker discovery and sample classification. Both
methods produced excellent results, identifying the volatiles in the mixtures and being able
to classify samples with 100% accuracy. This methodology was then tested using a variety
of samples. Ammonia was found as a possible marker for bovine TB (Mycobacterium
bovis) infection using serum samples taken from wild badgers. Discrimination results of an
accuracy of 67%±6% were acquired. The number of sample needed to build the best
performing model from this dataset was empirically shown to be 120. It was shown to be
effective for the discrimination of serum samples from cattle taken before and after
introduction of bovine TB (Mycobacterium bovis) bacteria in a clinical trial (accuracy of
85% achieved). A similar dataset pertaining to infection by Mannheimia haemolytica failed
to produce models that performed as well as the others - this is suspect to be due to a poor
experimental design. Finally, discrimination accuracies of 88% for urine samples collected
from cattle from herds infected with Mycobacterium paratuberculosis and 90% for urine
samples collected in the same bovine TB trial as above were achieved. The novel
multivariate approach to SIFT-MS data analysis has been shown to be effective with a
number of datasets but it is sensitive to the experimental design. Recommendation for the
consideration required for analysis using this method have been made
Étude sur le patois de Valbonnais
No full textA lexical and morphologic description of Valbonnais dialect. A 319-page PhD dissertation under the direction of Prof. Antonin DURAFFOUR (Univ. Stendhal, Grenoble, France, 1943)Description lexicale et morphologique du patois de Valbonnais sous la forme d'un manuscrit de 319 pages.Thèse sous la direction du Prof. Antonin DURAFFOUR (Univ. Stendhal, Grenoble, 1943
Radar Chart of Citation topic Meso, source: Formulated by author using MS Excel (2016).
No full textRadar Chart of Citation topic Meso, source: Formulated by author using MS Excel (2016).</p
Improving MHC-I ligand identifications from LC-MS/MS data by incorporating allelic peptide motifs
No full textMHC class I (MHC-I)-bound ligands play a pivotal role in CD8 T cell immunity and are hence of major interest in understanding and designing immunotherapies. One of the most commonly utilized approaches for detecting MHC ligands is LC-MS/MS. Unfortunately, the effectiveness of current algorithms to identify MHC ligands from LC-MS/MS data is limited because the search algorithms used were originally developed for proteomics approaches detecting tryptic peptides. Consequently, the analysis often results in inflated false discovery rate (FDR) statistics and an overall decrease in the number of peptides that pass FDR filters. Andreatta et al. describe a new scoring tool (MS-rescue) for peptides from MHC-I immunopeptidome datasets. MS-rescue incorporates the existence of MHC-I peptide motifs to rescore peptides from ligandome data. The tool is demonstrated here using peptides assigned from LC-MS/MS data with PEAKs software but can be deployed on data from any search algorithm. This new approach increased the number of peptides identified by up to 20-30% and promises to aid the discovery of novel MHC-I ligands with immunotherapeutic potential
Collecting Cures in an Artisanal Manuscript: Practical Therapeutics and Disease in Ms. Fr. 640
No full textScattered throughout Ms. Fr. 640, the forty medical recipes form a small percentage of its over 900 entries. A consideration of the ailments, ingredients, and making processes described in the manuscript, as well as the author-practitioner’s process of collecting information, reveals a variety of connections between Ms. Fr. 640’s medical recipes and early modern artisanal work
The Poems of MS Junius 11 Basic Readings
No full textTaken from the same manuscript as Cynewulf, the Junius 11 poems-Genesis, Exodus, Daniel, and Christ and Satan-comprise a series of redacted Old English works that have been traditionally presented as the work of Bede's Caedmon. Medieval scholars have concluded that the four poems were composed by more than one author and later edited by Junius in 1655. All of the poems are notable for their Christian content. Apart from its focus on the Junius 11 manuscript, this collection of essays is also important as a study of how to read, edit, and define any medieval literary text.Front Cover -- The Poems of MS Junius 11 -- Copyright Page -- Contents -- Preface of the General Editors -- Introduction: R. M. Liuzza -- Acknowledgments -- List of Abbreviations -- Confronting Germania Latina: Changing Responses to Old English Biblical Verse: Joyce Hill -- The Old English Epic of Redemption: The Theological Unity of MS Junius 11: J. R. Hall -- The Old English Epic of Redemption": Twenty-Five-Year Retrospective: J. R. Hall -- Some Uses of Paronomasia in Old English Scriptural Verse: Roberta Frank -- Tempter as Rhetoric Teacher: The Fall of Language in the Old English Genesis B: Eric Jager -- Conspicuous Heroism: Abraham, Prudentius, and the Old English Verse Genesis: Andrew Orchard -- Christian Tradition in the Old English Exodus: James W. Earl -- The Patriarchal Digression in the Old English Exodus, Lines 362-446: Stanley R. Hauer -- The Lion Standard in Exodus: Jewish Legend, Germanic Tradition, and Christian Typology: Charles D. Wright -- The Structure of the Old English Daniel: Robert T. Farrell -- Style and Theme in the Old English Daniel: Earl R. Anderson -- Nebuchadnezzar's Dreams in the Old English Daniel: Antonina Harbus -- The Power of Knowledge and the Location of the Reader in Christ and Satan: Ruth Wehlau -- The Wisdom Poem at the End of MS Junius 11: Janet Schrunk Ericksen -- IndexTaken from the same manuscript as Cynewulf, the Junius 11 poems-Genesis, Exodus, Daniel, and Christ and Satan-comprise a series of redacted Old English works that have been traditionally presented as the work of Bede's Caedmon. Medieval scholars have concluded that the four poems were composed by more than one author and later edited by Junius in 1655. All of the poems are notable for their Christian content. Apart from its focus on the Junius 11 manuscript, this collection of essays is also important as a study of how to read, edit, and define any medieval literary text.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Qualitative assessment of sediment from River Meghna, Bangladesh
No full textThe present study was conducted to find the status of different soil quality variables of the Meghna River during the period from September, 2015 to March, 2016. The values of different soil quality parameters such as silt, sand, clay, bulk density, pH, EC and organic matter fluctuated between 13.33-58.33%, 29.25-88.42%, 4.92-17.42%, 1.43-1.71g/cm3, 6.86-8.06, 43-942.67µs/cm and 0.24-3.1% respectively. The heavy metals were analyzed by Atomic Absorption Spectrophotometer (AAS). The observed order of heavy metals mean concentration in sediments Fe> Pb >Cr > Co > Cd in mg/kg, respectively. Significant differences (p<0.05) was found in the values of soil organic matter of the Meghna river in terms of sites. But the value of silt, sand, clay, bulk density, pH and EC exhibited no significant variation with sites. The concentration of silt, sand, clay, bulk density, pH, EC and organic matter showed no significant variation with seasons (p>0.05). Very strong positive correlation between Cr vs EC (0.965), Cd vs EC (0.962), Cd vs Cr (0.959) and bulk density vs % sand (0.951) was observed at the significance level 0.01. Fe vs % sand (0.944), Cd vs Fe (0.824), Pb vs % O.M (0.823) and bulk density vs Fe (0.822) showed very strong positive correlations at 0.05 level of significance. The concentration of the soil parameters indicate that the river is being polluted and the statistical analysis proved that anthropogenic sources are the main contributor.Bangladesh J. Sci. Ind. Res.53(2), 89-98, 2018</jats:p
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