Remixing Pedagogy: How Teachers Experience Remix as a Tool for Teaching English Language Arts

Remix, a type of digital multimedia composition created by combining existing media to create new texts offers high school teachers a non-traditional approach to teaching English Language Arts (ELA). As technology in the U.S. has become more accessible and affordable, literacy practices outside school classrooms have changed. While there is a growing body of research about remix and remix culture, most of it is set outside the ELA classroom by focusing on activities after school hours or specialty courses in creative writing or technology classes. Teachers’ points of view are largely left out of studies that examine in-school experiences with remix. Additionally, existing studies are often set in either higher education or elementary schools. This case study sought to understand how two high school ELA teachers experienced using remix as a tool for teaching and how practicing remix informed their pedagogies. The study revealed insight into why teachers find it challenging to practice new pedagogies in their teaching. I grounded my theoretical framework in sociocultural theories and a remix of Peirce’s (1898) semiotic theory with Rosenblatt’s (1938/1995) transactionalism. Designed within a case study methodology, data sources included teacher remixes, recorded conversations in online meetings, emails, texts, telephone calls, and a detailed researcher journal. Data analysis included multiple iterations of open coding of transcripts, informed by grounded theory and tools of discourse analysis, as well as visual analyses of teacher-created remixes. Key findings showed that, while teachers desired to incorporate remix teaching tools for meeting student needs, constraints of professional learning obligations, state standards, and administrator expectations limited their use of non-traditional practices. Both teachers approached remix differently, encouraging their students to construct meaning through multimodal tools, while still finding paths to meeting administrative requirements through remix. Further, remix allowed teachers to increase the student-centeredness of their pedagogy and at the same time support multiple student learning styles. This study also extends prior theoretical scholarship about remix by contributing a study of knowledge-in-action, focusing on teachers as their remix experiences unfolded

THE GENETICS OF NONTRADITIONAL GLYCEMIC BIOMARKERS OF TYPE 2 DIABETES

Type 2 diabetes is a major public health problem that affects over 10% of the US adult population. It is associated with substantially increased risks of mortality and serious clinical outcomes such as heart disease, stroke, kidney disease and retinopathy. Diabetes is defined by hyperglycemia, or elevated glucose concentrations in the blood, which are commonly measured by fasting glucose and hemoglobin A1c (HbA1c), but these have limitations. As a result, nontraditional glycemic biomarkers, fructosamine, glycated albumin and 1,5-anhydroglucitol (1,5-AG) are gaining interest. While it is established that genetics play a role in type 2 diabetes, fasting glucose, and HbA1c, the genetics of fructosamine, glycated albumin, and 1,5-AG have not been well explored. This dissertation sought to determine the amount of variation in each biomarker due to genetics through heritability estimation, and to determine the specific genetic variants associated with each biomarker though genome wide association study (GWAS) analysis, multivariate phenotype analysis, and exome sequencing analysis. Heritability estimates showed a substantial portion of fructosamine, glycated albumin and 1,5-AG variation was due to genetics, which is likely comprised of both common and rare variants. GWAS identified common variants associated with fructosamine and glycated albumin including a known diabetes variant and a likely nonglycemic variant. Exome sequencing did not identify variants associated with fructosamine and glycated albumin, but multivariate phenotype analysis identified a potentially interesting region in a gene that alters bilirubin levels that may affect fructosamine in a nonglycemic manner. Exome sequencing identified rare, coding variants with large effect size in a glucose transporting gene associated with 1,5-AG which inform the biology and may impact the clinical interpretation of 1,5-AG. Analyzing the genetics of nontraditional glycemic biomarkers of type 2 diabetes has increased the understanding of these biomarkers, including their underlying biology, and may aid in decisions about their clinical implementation

First-year compliance with the Nevada Clean Indoor Air Act

Objectives: We quantitatively evaluated compliance with the Nevada Clean Indoor Air Act (NCIAA) by different types of businesses in Nevada and determined whether compliance affected indoor concentrations of benzene and 3-ethenyl pyridine (3-EP), markers of tobacco smoke. Methods: Managers of 181 businesses in Washoe County, Nevada, were interviewed about business characteristics and practices and policies related to smoking. During unannounced visits, compliance data and air samples (n=66) were collected from interviewed businesses and from an additional sample (n = 56) of businesses without knowledge of the study. Results: Overall compliance, as defined by the NCIAA, was low (28.2%). Benzene concentrations were higher in casino restaurants than in other businesses, although most complied with the requirements of the ban. Neither benzene nor 3-EP concentrations differed significantly between compliant and non-compliant businesses. Conclusions: The finding that casino restaurants had poorer air quality despite their compliance with the NCIAA suggests that compliance alone may not be sufficient to reduce exposure to secondhand smoke, particularly in buildings with both nonsmoking and smoking areas

Exploring Genome-Wide – Dietary Heme Iron Intake Interactions and the Risk of Type 2 Diabetes

Aims/hypothesis: Genome-wide association studies have identified over 50 new genetic loci for type 2 diabetes (T2D). Several studies conclude that higher dietary heme iron intake increases the risk of T2D. Therefore we assessed whether the relation between genetic loci and T2D is modified by dietary heme iron intake. Methods: We used Affymetrix Genome-Wide Human 6.0 array data [681,770 single nucleotide polymorphisms (SNPs)] and dietary information collected in the Health Professionals Follow-up Study (n = 725 cases; n = 1,273 controls) and the Nurses’ Health Study (n = 1,081 cases; n = 1,692 controls). We assessed whether genome-wide SNPs or iron metabolism SNPs interacted with dietary heme iron intake in relation to T2D, testing for associations in each cohort separately and then meta-analyzing to pool the results. Finally, we created 1,000 synthetic pathways matched to an iron metabolism pathway on number of genes, and number of SNPs in each gene. We compared the iron metabolic pathway SNPs with these synthetic SNP assemblies in their relation to T2D to assess if the pathway as a whole interacts with dietary heme iron intake. Results: Using a genomic approach, we found no significant gene–environment interactions with dietary heme iron intake in relation to T2D at a Bonferroni corrected genome-wide significance level of $7.33 ×10^{-8}$ (top SNP in pooled analysis: intergenic rs10980508; $p = 1.03 × 10^{-6}$). Furthermore, no SNP in the iron metabolic pathway significantly interacted with dietary heme iron intake at a Bonferroni corrected significance level of $2.10 × 10^{-4}$ (top SNP in pooled analysis: rs1805313; $p = 1.14 × 10^{-3}$). Finally, neither the main genetic effects (pooled empirical p by SNP = 0.41), nor gene – dietary heme–iron interactions (pooled empirical p-value for the interactions = 0.72) were significant for the iron metabolic pathway as a whole. Conclusions: We found no significant interactions between dietary heme iron intake and common SNPs in relation to T2D

Feasibility of High-Throughput Genome-Wide Genotyping using DNA from Stored Buccal Cell Samples

It is unclear if buccal cell samples contain sufficient human DNA with adequately sized fragments for high throughput genetic bioassays. Yet buccal cell sample collection is an attractive alternative to gathering blood samples for genetic epidemiologists engaged in large-scale genetic biomarker studies. We assessed the genotyping efficiency (GE) and genotyping concordance (GC) of buccal cell DNA samples compared to corresponding blood DNA samples, from 32 Nurses’ Health Study (NHS) participants using the Illumina Infinium 660W-Quad platform. We also assessed how GE and GC accuracy varied as a function of DNA concentration using serial dilutions of buccal DNA samples. Finally we determined the nature and genomic distribution of discordant genotypes in buccal DNA samples. The mean GE of undiluted buccal cell DNA samples was high (99.32%), as was the GC between the paired buccal and blood samples (99.29%). GC between the dilutions versus the undiluted buccal DNA was also very high (greater than 97%), though both GE and GC notably declined at DNA concentrations less than 5 ng/μl. Most (greater than 95%) genotype determinations in buccal cell samples were of the “missing call” variety (as opposed to the “alternative genotype call” variety) across the spectrum of buccal DNA concentrations studied. Finally, for buccal DNA concentration above 1.7 ng/ul, discordant genotyping calls did not cluster in any particular chromosome. Buccal cell-derived DNA represents a viable alternative to blood DNA for genotyping on a high-density platform

Feasibility of High-Throughput Genome-Wide Genotyping using DNA from Stored Buccal Cell Samples

It is unclear if buccal cell samples contain sufficient human DNA with adequately sized fragments for high throughput genetic bioassays. Yet buccal cell sample collection is an attractive alternative to gathering blood samples for genetic epidemiologists engaged in large-scale genetic biomarker studies. We assessed the genotyping efficiency (GE) and genotyping concordance (GC) of buccal cell DNA samples compared to corresponding blood DNA samples, from 32 Nurses’ Health Study (NHS) participants using the Illumina Infinium 660W-Quad platform. We also assessed how GE and GC accuracy varied as a function of DNA concentration using serial dilutions of buccal DNA samples. Finally we determined the nature and genomic distribution of discordant genotypes in buccal DNA samples. The mean GE of undiluted buccal cell DNA samples was high (99.32%), as was the GC between the paired buccal and blood samples (99.29%). GC between the dilutions versus the undiluted buccal DNA was also very high (>97%), though both GE and GC notably declined at DNA concentrations less than 5 ng/μl. Most (>95%) genotype determinations in buccal cell samples were of the “missing call” variety (as opposed to the “alternative genotype call” variety) across the spectrum of buccal DNA concentrations studied. Finally, for buccal DNA concentration above 1.7 ng/ul, discordant genotyping calls did not cluster in any particular chromosome. Buccal cell-derived DNA represents a viable alternative to blood DNA for genotyping on a high-density platform

A Cross-Sectional Survey of the Association between Bilateral Topical Prostaglandin Analogue Use and Ocular Adnexal Features

We studied the relation between prostaglandin analogue use and ocular adnexal features. We used a prospective, cross-sectional study involving 157 current, 15 past, and 171 never users of prostaglandin analogues. Patients 50 years of age or older and without conditions affecting ocular adnexal anatomy underwent glaucoma medication use history, external digital photography and systematic external adnexal exam. Two masked readers assessed the digital photos for upper lid dermatochalasis and lower lid steatoblepharon using a validated grading scheme. Another masked clinical examiner also assessed upper lid ptosis, levator muscle function, and inferior scleral show. We performed ordinal logistic regression analysis accounting for multiple covariates to assess the relation between prostaglandin analogue use and adnexal features. Multivariable analyses indicated there was a 230-fold increased risk of incremental involution of dermatochalasis (odds ratio (OR) = 2.30; 95% confidence interval (CI) 1.43–3.69; p = 5.44E-04) and a 249-fold increased risk of incremental loss of lower lid steatoblepharon (OR = 2.49; 95% CI, 1.54–4.03; p = 1.98E-04) associated with current prostaglandin analogue use (bimatoprost 0.03%, travoprost 0.005%, or latanoprost 0.004%) versus prostaglandin analogue never or past users. Upper lid ptosis (OR = 4.04; 95% CI, 2.43–6.72; p = 7.37E-08), levator dysfunction (OR = 7.51; 95% CI, 3.39–16.65; p = 6.74E-07) and lower lid retraction (OR = 2.60; 95% CI, 1.58–4.28; p = 1.72E-04) were highly associated with current prostaglandin analogue use versus prostaglandin analogue never or past users. The associations between prostaglandin analogue use and deepening of the upper lid sulci and between prostaglandin analogue use and loss of inferior periorbital fat are confirmed in this multivariable analysis. The associations between prostaglandin analogue use and levator muscle dysfunction and between prostaglandin analogue use and upper lid ptosis represent significant side effects that could impact visual function in glaucoma patients

An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data

We present an algorithm to photometrically calibrate wide field optical imaging surveys, that simultaneously solves for the calibration parameters and relative stellar fluxes using overlapping observations. The algorithm decouples the problem of "relative" calibrations, from that of "absolute" calibrations; the absolute calibration is reduced to determining a few numbers for the entire survey. We pay special attention to the spatial structure of the calibration errors, allowing one to isolate particular error modes in downstream analyses. Applying this to the Sloan Digital Sky Survey imaging data, we achieve ~1% relative calibration errors across 8500 sq.deg. in griz; the errors are ~2% for the u band. These errors are dominated by unmodelled atmospheric variations at Apache Point Observatory. These calibrations, dubbed "ubercalibration", are now public with SDSS Data Release 6, and will be a part of subsequent SDSS data releases.Comment: 16 pages, 17 figures, matches version accepted in ApJ. These calibrations are available at http://www.sdss.org/dr

The Multi-Object, Fiber-Fed Spectrographs for SDSS and the Baryon Oscillation Spectroscopic Survey

We present the design and performance of the multi-object fiber spectrographs for the Sloan Digital Sky Survey (SDSS) and their upgrade for the Baryon Oscillation Spectroscopic Survey (BOSS). Originally commissioned in Fall 1999 on the 2.5-m aperture Sloan Telescope at Apache Point Observatory, the spectrographs produced more than 1.5 million spectra for the SDSS and SDSS-II surveys, enabling a wide variety of Galactic and extra-galactic science including the first observation of baryon acoustic oscillations in 2005. The spectrographs were upgraded in 2009 and are currently in use for BOSS, the flagship survey of the third-generation SDSS-III project. BOSS will measure redshifts of 1.35 million massive galaxies to redshift 0.7 and Lyman-alpha absorption of 160,000 high redshift quasars over 10,000 square degrees of sky, making percent level measurements of the absolute cosmic distance scale of the Universe and placing tight constraints on the equation of state of dark energy. The twin multi-object fiber spectrographs utilize a simple optical layout with reflective collimators, gratings, all-refractive cameras, and state-of-the-art CCD detectors to produce hundreds of spectra simultaneously in two channels over a bandpass covering the near ultraviolet to the near infrared, with a resolving power R = \lambda/FWHM ~ 2000. Building on proven heritage, the spectrographs were upgraded for BOSS with volume-phase holographic gratings and modern CCD detectors, improving the peak throughput by nearly a factor of two, extending the bandpass to cover 360 < \lambda < 1000 nm, and increasing the number of fibers from 640 to 1000 per exposure. In this paper we describe the original SDSS spectrograph design and the upgrades implemented for BOSS, and document the predicted and measured performances.Comment: 43 pages, 42 figures, revised according to referee report and accepted by AJ. Provides background for the instrument responsible for SDSS and BOSS spectra. 4th in a series of survey technical papers released in Summer 2012, including arXiv:1207.7137 (DR9), arXiv:1207.7326 (Spectral Classification), and arXiv:1208.0022 (BOSS Overview

The Eighth Data Release of the Sloan Digital Sky Survey: First Data from SDSS-III

The Sloan Digital Sky Survey (SDSS) started a new phase in August 2008, with new instrumentation and new surveys focused on Galactic structure and chemical evolution, measurements of the baryon oscillation feature in the clustering of galaxies and the quasar Ly alpha forest, and a radial velocity search for planets around ~8000 stars. This paper describes the first data release of SDSS-III (and the eighth counting from the beginning of the SDSS). The release includes five-band imaging of roughly 5200 deg^2 in the Southern Galactic Cap, bringing the total footprint of the SDSS imaging to 14,555 deg^2, or over a third of the Celestial Sphere. All the imaging data have been reprocessed with an improved sky-subtraction algorithm and a final, self-consistent photometric recalibration and flat-field determination. This release also includes all data from the second phase of the Sloan Extension for Galactic Understanding and Evolution (SEGUE-2), consisting of spectroscopy of approximately 118,000 stars at both high and low Galactic latitudes. All the more than half a million stellar spectra obtained with the SDSS spectrograph have been reprocessed through an improved stellar parameters pipeline, which has better determination of metallicity for high metallicity stars.Comment: Astrophysical Journal Supplements, in press (minor updates from submitted version