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This hour-long presentation was a part of the 2020 Staff Development Day at Austin Public Library. The creators intend this to be reused and have placed additional Creative Commons Licensing statements where we use borrowed graphics. Several of the slides contain links to a Slido audience participation element. While these Slido elements are no longer active, the authors opted to leave the slides in place allowing others to recreate and innovate upon the audience participation element. The Slido elements were created using the free version of an online tool available at https://www.sli.do/ in February 2020.,Librarians from Austin Community College and UT Austin will lead participants through an introduction to open educational resources (OER). Participants will learn what OER are and why teachers and students might want to use them. This session will also discuss recent legislation related to OER. Participants will be encouraged to think about how OER could be integrated into user interactions at Austin Public Library. Learning outcomes – participants will be able to: - Define Open Educational Resources: the issue, the response & your role - Define an open license - Learn how to find OER and the diversity of searching platforms - Gain an understanding of the legislative landscape surrounding OER,
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Andante for horn and piano ; Second horn concerto / Richard Strauss -- Romance for horn and piano / Alexander Scriabin -- A door into the dark... / Peter Askim -- Sonata no. 3 for horn and piano / Alec Wilder
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In March 2020, the U.S. Supreme Court will hear June Medical Services, LLC v. Gee, the case that will decide whether Louisiana abortion providers need hospital admitting privileges. In a recent study of Louisiana abortion patients, PRC faculty research associate Kari White and colleague Erin Carroll compared patients’ expectations and preferences for care with their actual experiences accessing abortion services. From June 2018 – January 2019, the research team conducted 35 in-depth interviews with patients seeking care at the three in-state facilities. The study found that most women’s expectations and preferences for abortion care are not met in Louisiana’s current service environment and policy setting.
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Gene expression regulation mechanisms during stress recovery are ubiquitous across all organisms. Some organisms have evolved more robust and distinct regulatory systems to survive exposures of extreme conditions. For instance, Deinococcus radiodurans is one of the most radioresistive organisms that have been identified. It can withstand 15,000 Gray of gamma radiation, which is 5,000 times of human and 250 times of E. coli. Many studies have been done to decipher the radioresistance mechanisms of D. radiodurans. However, most analysis with the genome and proteome are not conclusive. Although a recent study suggested that the small molecules that protect the proteome of D. radiodurans under irradiation are a key to its radioresistance, the mechanisms of gene regulation under irradiation are still unclear. In this study, we have introduced small non-coding RNAs (sRNA) as potential regulators in the radioresistance mechanisms. In bacteria, sRNAs have been identified in multiple species and have been shown to play essential roles in responsive mechanisms to environmental stresses. A key property of sRNAs is their ability to up or down regulate global metabolic pathways in response to lethal environmental signals. The versatility and specificity of sRNA regulation make it highly relevant for developing engineering applications. Since very little about sRNAs is known or discovered in D. radiodurans, we have used bioinformatics algorithms to analyze genomics patterns of sRNAs coding regions in 13 bacterial species to develop a pipeline and have identified novel transcripts in bacteria based on the conservation level and size of the intergenic regions. For example, alone with computation predictions, we found 40 novel transcripts in Mycobacteria smegmatis and Mycobacteria bovis. The combination of this bioinformatics approach and experimental verification has led us to identify 41 sRNAs in D. radiodurans, and many of them show differential expression during recovery from exposures to various environmental stresses. Among them, one transcript Dsr2 showed a unique expression pattern under ionizing radiation and the deletion mutant has a reduced survival rate under irradiation. We designed multiple experiments to verify the regulatory networks of Dsr2, including HITS-CLIP analysis, transcriptome analysis and electrophoresis mobility shift assay. We have found 14 mRNAs that have direct interaction with Dsr2 sRNA and many of them have important functions related stress response. For example, PprM protein has been verified as a modulator of PprA protein, which activates DNA end-repair under stresses. This pathway is also regulated by PprI but the regulatory mechanism of PprM was previously unclear. We found Dsr2 is able to bind with pprM and the transcriptome analysis suggested its expression level is correlated with Dsr2 expression. Dsr2 was also shown to have interactions with many ribosomal proteins and translation initiation factors. In summary, our work provides insight and evidence of how non-coding transcripts regulate radioresistance mechanisms in D. radiodurans, and how bioinformatics analysis can lead us to the discovery of more regulatory transcripts in bacteria of interest
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State legislatures govern many of the daily concerns in education, yet the politics at play in shaping legislators’ approaches to pressing education issues remain underexamined. This paper provides an overview of the education policy issues that defined the 86th Texas Legislative Session. The contributing authors to this critical issue draw on their political and professional expertise to offer their unique perspectives on Texas K-12 and higher education funding, new modes of teachers’ political advocacy, and persistent racial inequities in educational institutions. Together, these pieces provide readers with a review of the achievements and challenges in Texas education policy, as well as future directions for research, policy, and educational advocacy.
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Phosphorylation of tyrosines by protein kinases is a fundamental mode of signal transduction in all eukaryotic cells, leading to a wide variety of cellular outcomes, including proliferation, differentiation, transcriptional activation, and programmed cell death. Perturbations to tyrosine kinase signaling networks by activation, overexpression, or mutation is the driving factor in many diseases, most notably cancers. The development of tyrosine kinase inhibitors, 37 of which are currently FDA-approved, has led to a revolution in cancer treatment. Imatinib, the first FDA-approved kinase inhibitor, has drastically improved prognosis for patients with Bcr-abl-positive leukemias. Despite this unprecedented success, however, up to one-third of patients lose response to imatinib due to mutations within the tyrosine kinase domain of Bcr-abl. Subsequent generations of Bcr-abl inhibitors, including dasatinib and ponatinib, have been developed to overcome these resistance mutations, but in each case, novel resistance mutations have arisen. We present a high-throughput yeast-based assay for the prediction of dasatinib- and ponatinib-resistant mutations in the ABL1 kinase domain. Our results not only recapitulate all known dasatinib-resistant mutations, but confirm recent patient data emphasizing the importance of compound mutations in ponatinib resistance. Furthermore, with hundreds of kinase inhibitors in development for the treatment of a wide range of diseases, understanding the cellular pathway of each kinase is critically important to the selection of ideal drug targets and avoiding potentially toxic side effects. Discovery of novel tyrosine kinase substrates is hindered by the presence of 90 human tyrosine kinases, which are often active in the same pathways. Phosphoproteomics, chemical genetics, and in vitro assays have been used to great success, yet only 30% of phosphorylated tyrosines in the human proteome have been assigned to a specific kinase. Recent advances in predicting tyrosine kinase substrates have been made by combining large data sets on kinase domain specificity, cellular localization, and protein-protein interactions in probabilistic algorithms. However, the high-quality data sets required for accurate predictions are often lacking. In chapter 2, we present a high-throughput yeastbased assay for screening millions of putative kinase substrates, which we then use to build a probabilistic model to accurately predict the in vitro phosphorylation of candidate substrates
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2 suggestions / Salvador Brotons -- All in twilight / Toru Takemitsu -- Triplum / Louis Andriessen -- Toccata ; Serenade / Sofia Gubaidulina -- Cuaderno de Friedenau / Jose Maria Sanchez-Verdu -- Etudes 1-7 / Federico Bonacossa -- 3 caprichos after Goya / Brett Dean
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This file updates the Index published in January 2019. There are two sections. The first is a progress report on the project Ascending Cadence Gestures, A New Historical Survey. The second is an updated list of all compositions with ascending or upper-register cadence gestures, as mentioned in my article The Ascending Urlinie (1987), in essays published on the TexasScholarworks platform, and in work files prepared for remaining numbers in the new historical survey.
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This dissertation presents two major research contributions to the field of attitude dynamics and control. The first topic comprises of estimating the angular velocity of a rigid body purely with orientation measurements expressed in terms of the quaternion parameterization. At first, the object of interest is assumed to be in pure-spin, and a simple two-step algorithm is derived and analyzed as part of this dissertation. These results are further extended for the general case of angular velocity estimation by way of relaxing the pure-spin restriction. The proposed angular velocity estimator is particularly useful in the context of vision-based navigation, as demonstrated through simulations. The second major research contribution from this dissertation is represented through a pair of new Lyapunov-based controllers that steer a fully actuated rigid body attitude system from an arbitrary initial configuration to any desired one within prescribed finite-time. The stability and convergence properties owing to these two controllers are analyzed through Lyapunov analysis and extensive numerical simulation studies. Finite-time attitude controllers, as opposed to asymptotic controllers, can be particularly useful in satellites that need to repeatedly reorient themselves with hard-deadline constraints
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