Re-Seeing Composition: Object Oriented Reflective Teaching Practice

abstract: This dissertation presents reflective teaching practices that draw from an object-oriented rhetorical framework. In it, practices are offered that prompt teachers and students to account for the interdependent relationships between objects and writers. These practices aid in re-envisioning writing as materially situated and leads to more thoughtful collaborations between writers and objects. Through these practices, students gain a more sophisticated understanding of their own writing processes, teachers gain a more nuanced understanding of the outcomes of their pedagogical choices, and administrators gain a clearer vision of how the classroom itself affects curriculum design and implementation. This argument is pursued in several chapters, each presenting a different method for inciting reflection through the consideration of human/object interaction. The first chapter reviews the literature of object oriented rhetorical theory and reflective teaching practice. The second chapter adapts a methodology from the field of Organizational Science called Narrative Network Analysis (NNA) and leads students through a process of identifying and describing human/object interaction within narratives and asks students to represent these relationships visually. As students undertake this task they can more objectively examine their own writing processes. In the third chapter, video ethnographic methodologies are used to observe object oriented rhetoric theory in practice through the interactions of humans and objects in the writing classroom. Through three video essays, clips of footage taken of a writing classroom and its writing objects are selected and juxtaposed to highlight the agency and influence of objects. In chapter four, a tool developed using freely available cloud-based web applications is presented which is termed the “Fitness Tracker for Teaching.” This tool is used to regularly collect, store, and analyze data that students self-report through a daily class survey about their work efforts, their work environment, and their feelings of confidence, productivity, and self-efficacy. The data gathered through this tool provides a more complete understanding of student effort and affect than could be provided by the teacher’s and students’ own memories or perceptions. Together these chapters provide a set of reflective practices that reinforce teaching writing as a process that is affective and embodied and acknowledges and accounts for the rhetorical agency of objects.Dissertation/ThesisChapter 3 Video PresentationDoctoral Dissertation English 201

Bioavailability and Activity of Natural Food Additive Triterpenoids as Influenced by Protein

Triterpenoids were thought to be biologically ineffective for a very long time, but aggregating proof on their widely ranging pharmacological activities paired with a dubious toxicity portrait has motivated regenerated attraction for human health and disease. In the current contribution, our central goal was to integratively dissect the biointeraction of two typical triterpenoids, ursolic acid and oleanolic acid, by the most fundamental macromolecule bovine serum albumin (BSA) by employing molecular modeling, steady state and time-resolved fluorescence, and circular dichroism spectra at the molecular scale. Based on molecular modeling, subdomain IIA, which matches Sudlow’s site I, was allocated to retain high affinity for triterpenoids, but the affinity of ursolic acid with subdomain IIA is somewhat inferior compared to that of oleanolic acid, probably because the affinity differentiation arises from the different positions of the methyl group on the E-ring in the two triterpenoids. This sustains the site-specific ligands, and hydrophobic 8-anilino-1-naphthalenesulfonic acid probe results in arranging the triterpenoids at the warfarin–azapropazone site. The data of steady state and time-resolved fluorescence indicated that the recognition of triterpenoids by BSA produced quenching by a static type, in other words, the ground state BSA–triterpenoid complex formation with the affinities of 1.507/1.734, 1.042/1.186, and 0.8395/0.9863 × 10⁴ M^–1 at 298, 304, and 310 K for ursolic acid/oleanolic acid, respectively. Thermodynamic analyses show that the basic forces acting between BSA and triterpenoids are hydrogen bonds, van der Waals forces, and hydrophobic interactions; this occurrence provoked the alterations of the BSA spatial structure with a noticeable decline of α-helix evoking perturbation of the protein, as stemmed from circular dichroism, synchronous fluorescence, and three-dimensional fluorescence measurements. We anticipate that the complexation of plant triterpenoids with protein delineated here may be exploited as a biologically relevant model for evaluating the physiologically applicable noncovalent complexes in in vivo examination of triterpenoid properties such as accumulation, bioavailability, and distribution

Linear relation example 2.

<p>Example 2 is deleting <b>using GUROBI</b> 5% of the edges in the ≤ −0.9 coupled networks in group 50-200-1000.</p

First nucleotide bias in different sites from 1 to 26 (5′-3′) in <i>B</i>. <i>dorsalis</i> miRNAs.

<p>First nucleotide bias in different sites from 1 to 26 (5′-3′) in <i>B</i>. <i>dorsalis</i> miRNAs.</p

MiRNA hairpins.

<p>(A) The predicted hairpin structure of the miR-8 hairpin, colored as miRNA and miRNA*. Red reflects miR-8-5p and yellow reflects miR-8-3p. (B) The predicted hairpin structure of the novel candidate hairpin, colored as miRNA and miRNA*. Red reflects PC-5p-15170 and yellow reflects PC-3p-3745.</p

Relative error for the example.

<p> <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0145421#pone.0145421.g011" target="_blank">Fig 11</a>’s relative error.</p

Additional file 3: of A qualitative study of user perceptions of mobile health apps

Trigger materials. (PDF 873 kb

Regression example 2 of GUROBI-computed.

<p>This example is deleting using GUROBI 5% of the edges in ≥0.9 coupled networks in group 50-200-1000.</p

Distribution of sequenced reads from raw data to cleaned sequences.

<p>Distribution of sequenced reads from raw data to cleaned sequences.</p

Reduction illustration.

<p>The reduction from an instance of 3-multiway cut problem to an instance of CLP.</p