The Development of and Relationship Between Elgin U-46\u27s Teacher Appraisal System and Mentor Program: 1998-2010

This study investigated the historical development of Elgin School District U-46\u27s teacher appraisal system and teacher mentor program during the years of 1998-2010. In 1998 a formal mentor program was implemented for the first time in district history. Shortly thereafter, district and union leadership agreed to revamp the twenty-five-year-old appraisal system. The study aimed to explore how district and union leadership prepared for, adopted, and implemented appraisal and mentoring during this time period through the framework of Thomas Sergiovanni\u27s (1992) sources of authority for leadership. The research questions of this study focused on five topics: the historical development of the teacher appraisal plan (TAP), the historical development of the teacher mentor program (TMP), sources of authorities for leadership evidenced during the stages of implementation and development, challenges faced and sources of authorities evidenced to overcome them, and evidence that appraisal and mentoring either complement or contradict each other in U-46. An elaborate look at primary documents including teacher contracts, School Board reports and minutes, local newspaper articles, meeting agendas, professional development presentations, staff surveys, and selected professional literature helped reveal the change process undergone for teacher appraisal and showed the development of the mentor program. As Senate Bill 315 recently passed, more districts will be revisiting their teacher appraisal system to include student performance data as a measure in order to qualify for Race to the Top funding. Article 21A of Illinois School Code continues to require districts to mentor their novice teachers, although the quality of these programs inevitably varies. These mandates, along with the continuous need to strengthen teacher performance in an accountability-driven era, make this a relevant study for educational leaders. Understanding the successes and challenges of Elgin U-46 can provide administrators and union officials insight as they move forward with similar developments and changes

Influences of behavioral state and developmental vocal learning on neural coding in the songbird auditory system

Vocal communicators such as humans and songbirds rely on their auditory systems to learn, recognize, and encode acoustic features of communication vocalizations. Yet it remains unclear how varying behavioral, experimental, and developmental contexts impact neural coding in the songbird auditory system. In this dissertation I demonstrate that experimental and behavioral contexts relating to arousal are sufficient to alter neural excitability in a way that has implications for neural coding in the songbird auditory system. First I show that urethane, a common anesthetic used in neurophysiological studies of songbird and mammalian auditory neurons, suppresses neural excitability but does not alter spectrotemporal tuning or neural discrimination in single auditory midbrain neurons. Next, I demonstrate that neurons in the songbird primary auditory cortical region Field L are sensitive to local concentrations of norepinephrine, a neurotransmitter involved mediating changes in arousal and behavioral state. Lastly, I report the results of a developmental study that demonstrates experience-dependent changes in temporal and spectral tuning in songbird auditory cortical neurons during vocal learning. These developmental effects were found to have region and cell-type specificity, and highlight potential functional roles for dorsal and ventral auditory cortical neurons in the songbird auditory cortex. The findings reported here have important implications for future studies into the neurophysiology of vocal learning

The anaphylatoxins C3a and C5a are vasodilators in the canine coronary vasculature in vitro and in vivo

The effect of complement fragments on coronary blood flow in vivo and the contraction of coronary arteries in vitro was determined. In pentobarbital anesthetized dogs, intraarterial bolus injection of C3a and C5a, zymosan-activated serum and methylcholine in the coronary vascular bed caused transient and dose-dependent increases in coronary blood flow. Similar increases were obtained with 25 μg of C3a (104±13%, n =5) and 0.1 μg of methylcholine (102±4%, n =3). Smaller, increases in blood flow were elicited by 25 μg of C5a (41±18%, n =4) and 0.2 ml, of zymosan-activated serum (48±5%, n =4). None of these responses were associated, with significant changes in left ventricular contractile force measured with a strain gauge, arterial blood pressure, and heart rate. C3a dilated the coronary vascular bed in conscious dogs with an activity equal to or greater than that observed in anesthetized dogs. Isolated canine coronary arteries that were precontracted with serotonin relaxed in response to C3a, whether or not the endothelium was intact. Overall these data suggest that physiologically high doses of anaphylactic complement fragments vasodilate the canine coronary circulation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45056/1/11_2005_Article_BF01988727.pd

Strain Engineering a 4a×3a4a\times\sqrt{3}a Charge Density Wave Phase in Transition Metal Dichalcogenide 1T-VSe2_2

We report a rectangular charge density wave (CDW) phase in strained 1T-VSe$_2$ thin films synthesized by molecular beam epitaxy on c-sapphire substrates. The observed CDW structure exhibits an unconventional rectangular 4a{\times}{\sqrt{3a}} periodicity, as opposed to the previously reported hexagonal $4a\times4a$ structure in bulk crystals and exfoliated thin layered samples. Tunneling spectroscopy shows a strong modulation of the local density of states of the same $4a\times\sqrt{3}a$ CDW periodicity and an energy gap of $2\Delta_{CDW}=(9.1\pm0.1)$ meV. The CDW energy gap evolves into a full gap at temperatures below 500 mK, indicating a transition to an insulating phase at ultra-low temperatures. First-principles calculations confirm the stability of both $4a\times4a$ and $4a\times\sqrt{3}a$ structures arising from soft modes in the phonon dispersion. The unconventional structure becomes preferred in the presence of strain, in agreement with experimental findings

LSST: from Science Drivers to Reference Design and Anticipated Data Products

(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg$^2$ field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5$\sigma$ point-source depth in a single visit in $r$ will be $\sim 24.5$ (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg$^2$ with $\delta<+34.5^\circ$, and will be imaged multiple times in six bands, $ugrizy$, covering the wavelength range 320--1050 nm. About 90\% of the observing time will be devoted to a deep-wide-fast survey mode which will uniformly observe a 18,000 deg$^2$ region about 800 times (summed over all six bands) during the anticipated 10 years of operations, and yield a coadded map to $r\sim27.5$. The remaining 10\% of the observing time will be allocated to projects such as a Very Deep and Fast time domain survey. The goal is to make LSST data products, including a relational database of about 32 trillion observations of 40 billion objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overvie

LSST Science Book, Version 2.0

A survey that can cover the sky in optical bands over wide fields to faint magnitudes with a fast cadence will enable many of the exciting science opportunities of the next decade. The Large Synoptic Survey Telescope (LSST) will have an effective aperture of 6.7 meters and an imaging camera with field of view of 9.6 deg^2, and will be devoted to a ten-year imaging survey over 20,000 deg^2 south of +15 deg. Each pointing will be imaged 2000 times with fifteen second exposures in six broad bands from 0.35 to 1.1 microns, to a total point-source depth of r~27.5. The LSST Science Book describes the basic parameters of the LSST hardware, software, and observing plans. The book discusses educational and outreach opportunities, then goes on to describe a broad range of science that LSST will revolutionize: mapping the inner and outer Solar System, stellar populations in the Milky Way and nearby galaxies, the structure of the Milky Way disk and halo and other objects in the Local Volume, transient and variable objects both at low and high redshift, and the properties of normal and active galaxies at low and high redshift. It then turns to far-field cosmological topics, exploring properties of supernovae to z~1, strong and weak lensing, the large-scale distribution of galaxies and baryon oscillations, and how these different probes may be combined to constrain cosmological models and the physics of dark energy.Comment: 596 pages. Also available at full resolution at http://www.lsst.org/lsst/sciboo

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment