8,396 research outputs found
Robert J. Edwards to James C. Furman
A one page letter and envelope from Robert J. Edwards to James C. Furma
Ex-Slave Narrative - Ann J. Edwards
A transcript of an Ex-Slave Narrative interview conducted by Sheldon F. Gauthier for the Works Progress Administration\u27s Federal Writers\u27 Project in the 1930s with Ann J. Edwards. Edwards was born into slavery in 1856 on the Arlington County, Virginia plantation of John Cook. In 1858, Cook moved to Washington, D. C. and emancipated those he enslaved. After her parents split and her mother died in 1861, Edwards was adopted by Richard H. Cain, the minister of an African Methodist church in D. C. She describes the conditions in D. C. during the Civil War, with a focus on runaway slaves and her step-father\u27s role in assisting them on their arrival to D. C. She also discusses the popular sentiment upon Abraham Lincoln\u27s assassination. After the war, Cain moved the family to Charleston, South Carolina, where he became the minister of Emmanuel African Methodist Episcopal Church and the editor of a newspaper. Cain later served as a state senator and then U. S. Representative. Edwards describes attempts to assassinate Cain as he ran for office and served his terms in the state and U. S. Congresses. In her interview, Edwards gives her opinions about race relations and women\u27s rights.https://mavmatrix.uta.edu/specialcollections_workprojectsadministration/1099/thumbnail.jp
Translating the Prescribed into the Enacted Curriculum in College and School
Drawing upon concepts from actor-network theory (ANT), this article explores how the principle of symmetry can provide alternative readings of the translations of the prescribed into the enacted curriculum, without reducing understanding to explanation. The paper explores the contrasting ways in which the prescribed curriculum is translated into the enacted curriculum as certain organisations, individuals and artefacts become enrolled through networks of school and college. It points to the ways in which a position which eschews conventional distinctions e.g. between the human and non-human, and enacts an anti-foundationalist ontology provides the basis for a radical materialist understanding of the multiplicity of educational practices
'Giving honour to the Spirit' : a critical analysis and evaluation of the doctrine of pneumatological union in the Trinitarian theology of Jonathan Edwards in dialogue with Karl Barth
The extent to which the 'honour' of the Spirit influenced the theology of
Jonathan Edwards is a hitherto underdeveloped theme. Against a backdrop of
Patristic thought and in dialogue with the theology of Karl Barth, evaluation is
made of pneumatological union in Edwards' Trinitarian theology as this centres
on the nature and inter-relatedness of the 'three unions' that characterize his
theology: the union of the three Persons of the Trinity, the union of the saints
with God, and the union of the divine and human natures of Christ.
Edwards' seeks to honour the Spirit as the mutual love of the Father for the Son
within his Augustinian, Lockean model of the immanent Trinity, and as 'Person'
in the economy. The challenges of doing so within the limits of this
psychological model of the Trinity are evaluated in dialogue with the
Cappadocian Fathers and Barth.
In a manner patterned after union in the Trinity, Edwards gave prominence to the
concept of the pneumatological union of the saints with God in Christ, in
fulfilment of the self-glorifying purpose of God in creation and redemption.
Edwards' experiential theology of conversion, and his elevation of subjective
sanctification by the Spirit over objective justification in Christ, for assurance, is
contrasted with Barth's greater emphases on the Christological union of God
with humanity and objective justification in Christ. Barth's more contemplative
approach is contrasted with the overly introspective spirituality of Edwards.
Edwards' view of the role of the Spirit in the hypostatic union of God with
humanity in Christ, which is reflective of the other unions, is also evaluated in
light of Patristic, Reformed-Puritan and Barthian thought on the nature of the
humanity Christ assumed, and the doctrine of the vicarious humanity of Christ. A
more emphatic incarnational emphasis may have saved Edwards' Spirit-
honouring spirituality from an anthropocentricity which is ironical given that the
glory of God is his ontic doxological concern
Computational identification and analysis of protein short linear motifs
Short linear motifs (SLiMs) in proteins can act as targets for proteolytic cleavage, sites of post-translational modification, determinants of sub-cellular localization, and mediators of protein-protein interactions. Computational discovery of SLiMs involves assembling a group of proteins postulated to share a potential motif, masking out residues less likely to contain such a motif, down-weighting shared motifs arising through common evolutionary descent, and calculation of statistical probabilities allowing for the multiple testing of all possible motifs. Much of the challenge for motif discovery lies in the assembly and masking of datasets of proteins likely to share motifs, since the motifs are typically short (between 3 and 10 amino acids in length), so that potential signals can be easily swamped by the noise of stochastically recurring motifs. Focusing on disordered regions of proteins, where SLiMs are predominantly found, and masking out non-conserved residues can reduce the level of noise but more work is required to improve the quality of high-throughput experimental datasets (e.g. of physical protein interactions) as input for computational discovery
Fritz Berens, Ryan Edwards, Mrs. Richard Macmoy and Mrs. J. B. Lovejoy
Director Fritz Berens gives (left) Ryan Edwards pointers on how to play bagpipes for the production of Schwanda . Looking on are Fine Arts Foundation Guild members Mrs. Richard Macmoy, patrons chairman, and (right) Mrs. J. B. Lovejoy, in charge of scholarships. Fort Worth Star-Telegram Morning February 12, 1967.https://mavmatrix.uta.edu/specialcollections_startelegram1960s/5708/thumbnail.jp
Aids to Technical Writing
Jordan, Richard C.; Edwards, Marion J.. (1944). Aids to Technical Writing. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/124260
Computational prediction of short linear motifs from protein sequences
Short Linear Motifs (SLiMs) are functional protein microdomains that typically mediate interactions between a short linear region in one protein and a globular domain in another. SLiMs usually occur in structurally disordered regions and mediate low affinity interactions. Most SLiMs are 3-15 amino acids in length and have 2-5 defined positions, making them highly likely to occur by chance and extremely difficult to identify. Nevertheless, our knowledge of SLiMs and capacity to predict them from protein sequence data using computational methods has advanced dramatically over the past decade. By considering the biological, structural, and evolutionary context of SLiM occurrences, it is possible to differentiate functional instances from chance matches in many cases and to identify new regions of proteins that have the features consistent with a SLiM-mediated interaction. Their simplicity also makes SLiMs evolutionarily labile and prone to independent origins on different sequence backgrounds through convergent evolution, which can be exploited for predicting novel SLiMs in proteins that share a function or interaction partner. In this review, we explore our current knowledge of SLiMs and how it can be applied to the task of predicting them computationally from protein sequences. Rather than focusing on specific SLiM prediction tools, we provide an overview of the methods available and concentrate on principles that should continue to be paramount even in the light of future developments. We consider the relative merits of using regular expressions or profiles for SLiM discovery and discuss the main considerations for both predicting new instances of known SLiMs, and de novo prediction of novel SLiMs. In particular, we highlight the importance of correctly modelling evolutionary relationships and the probability of false positive predictions
Estimation and efficient computation of the true probability of recurrence of short linear protein sequence motifs in unrelated proteins.
Background: large datasets of protein interactions provide a rich resource for the discovery of Short Linear Motifs (SLiMs) that recur in unrelated proteins. However, existing methods for estimating the probability of motif recurrence may be biased by the size and composition of the search dataset, such that p-value estimates from different datasets, or from motifs containing different numbers of non-wildcard positions, are not strictly comparable. Here, we develop more exact methods and explore the potential biases of computationally efficient approximations. Results: a widely used heuristic for the calculation of motif over-representation approximates motif probability by assuming that all proteins have the same length and composition. We introduce pv, which calculates the probability exactly. Secondly, the recently introduced SLiMFinder statistic Sig, accounts for multiple testing (across all possible motifs) in motif discovery. However, it approximates the probability of all other possible motifs, occurring with a score of p or less, as being equal to p. Here, we show that the exhaustive calculation of the probability of all possible motif occurrences that are as rare or rarer than the motif of interest, Sig', may be carried out efficiently by grouping motifs of a common probability (i.e. those which have permuted orders of the same residues). Sig'v, which corrects both approximations, is shown to be uniformly distributed in a random dataset when searching for non-ambiguous motifs, indicating that it is a robust significance measure. Conclusions: a method is presented to compute exactly the true probability of a non-ambiguous short protein sequence motif, and the utility of an approximate approach for novel motif discovery across a large number of datasets is demonstrated
BADASP: predicting functional specificity in protein families using ancestral sequences
Burst After Duplication with Ancestral Sequence Predictions (BADASP) is a software package for identifying sites that may confer subfamily-specific biological functions in protein families following functional divergence of duplicated proteins. A given protein phylogeny is grouped into subfamilies based on orthology/paralogy relationships and/or user definitions. Ancestral sequences are then predicted from the sequence alignment and the functional specificity is calculated using variants of the Burst After Duplication method, which tests for radical amino acid substitutions following gene duplications that are subsequently conserved. Statistics are output along with subfamily groupings and ancestral sequences for an easy analysis with other package
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