966 resultados para Medical schools expansion


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As co-founder of KIPP, I know from experience and research that more time in school works. A well-designed extended-time program can help underserved students catch up academically, and prepare them for the rigors of higher education. Implementing extended time more widely poses challenges, but there are also creative solutions to these challenges.

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In the last few years policy makers and practitioners nationally have shown much interest in identifying, recognizing, and replicating successful charter schools, many of which are showing that they can educate low-income and otherwise at-risk students remarkably well. However past efforts to identify high performing schools have been problematic. Using these systematic, rigorous value-added methods, the authors identify 44 Open Enrollment charter schools that merit a “high-performer” rating. Nearly all of those campuses identified serve a disadvantaged student population. The article also finds that most of those high performers are highly cost-effective, earning high ratings on the cost-efficiency measures. The authors argue for more widespread use of value-added modeling in the state accountability system. The approach taken to identifying high-performers is sensible and fair, but any formulaic approach to school labels comes with some limitations.

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The Obama administration's recurring policy emphasis on high-performing charter schools begs the obvious question: how do you identify a high-performing charter school? That is a crucially important policy question because any evaluation strategy that incorrectly identifies charter school performance could have negative effects on the economically and/or academically disadvantaged students who frequently attend charter schools. If low-performing schools are mislabeled and allowed to persist or encouraged to expand, then students may be harmed directly. If high-performing schools are driven from the market by misinformation, then students will lose access to programs and services that can make a difference in their lives. Most of the scholarly analysis to date has focused on comparing the performance of students in charter schools to that of similar students in traditional public schools (TPS). By design, that research measures charter school performance only in relative terms. Charter schools that outperform similarly situated, but low performing, TPSs have positive effects, even if the charter schools are mediocre in an absolute sense. This analysis describes strategies for identifying high-performing charter schools by comparing charter schools with one another. We begin by describing salient characteristics of Texas charter schools. We follow that discussion with a look at how other researchers across the country have compared charter school effectiveness with TPS effectiveness. We then present several metrics that can be used to identify high-performing charter schools. Those metrics are not mutually exclusive—one could easily justify using multiple measures to evaluate school effectiveness—but they are also not equally informative. If the goal is to measure the contributions that schools are making to student knowledge and skills, then a value-added approach like the ones highlighted in this report is clearly superior to a levels-based approach like that taken under the current accountability system.

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Background. Similar to parent support in the home environment, teacher support at school may positively influence children's fruit and vegetable (FV) consumption. This study assessed the relationship between teacher support for FV consumption and the FV intake of 4th and 5th grade students in low-income elementary schools in central Texas. Methods. A secondary analysis was performed on baseline data collected from 496 parent-child dyads during the Marathon Kids study carried out by the Michael & Susan Dell Center for Healthy Living at the University of Texas School of Public Health. A hierarchical linear regression analysis adjusting for key demographic variables, parent support, and home FV availability was conducted. In addition, separate linear regression models stratified by quartiles of home FV availability were conducted to assess the relationship between teacher support and FV intake by level of home FV availability. Results. Teacher support was not significantly related to students' FV intake (p = .44). However, the interaction of teacher support and home FV availability was positively associated with students' FV consumption (p < .05). For students in the lowest quartile of home FV availability, teacher support accounted for approximately 6% of the FV intake variance (p = .02). For higher levels of FV availability, teacher support and FV intake were not related. Conclusions. For lower income elementary school-aged children with low FV availability at home, greater teacher support may lead to modest increases in FV consumption.^

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This document details the people and institutions who were instrumental in the establishment and development of the Texas Medical Center (TMC). Biographical information about the founders, role the M. D. Anderson Foundation, and opening of the main institutions in the early 1950s is detailed. A copy of a speech given in 1958 by W. B. Bates, one of the trustees of the M. D. Anderson Foundation, on the history and development of the TMC is significant because he was one of the founders of the TMC. This document was commissioned by the Houston Chamber of Commerce in 1971 as the Texas Medical Center began a new phase of expansion with the pending addition of The University of Texas Medical School at Houston. It includes information about each of the 21 institutions which comprised the TMC at that time.

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This paper describes the participation of DAEDALUS at ImageCLEF 2011 Medical Retrieval task. We have focused on multimodal (or mixed) experiments that combine textual and visual retrieval. The main objective of our research has been to evaluate the effect on the medical retrieval process of the existence of an extended corpus that is annotated with the image type, associated to both the image itself and also to its textual description. For this purpose, an image classifier has been developed to tag each document with its class (1st level of the hierarchy: Radiology, Microscopy, Photograph, Graphic, Other) and subclass (2nd level: AN, CT, MR, etc.). For the textual-based experiments, several runs using different semantic expansion techniques have been performed. For the visual-based retrieval, different runs are defined by the corpus used in the retrieval process and the strategy for obtaining the class and/or subclass. The best results are achieved in runs that make use of the image subclass based on the classification of the sample images. Although different multimodal strategies have been submitted, none of them has shown to be able to provide results that are at least comparable to the ones achieved by the textual retrieval alone. We believe that we have been unable to find a metric for the assessment of the relevance of the results provided by the visual and textual processes

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Date of Acceptance: 27/04/2015 We are grateful to Andreas Antoniou (Dep. of Environment, Ministry of Agriculture, Rural Development & Environment, Cyprus) for his assistance in the preparation of the illustrations. We would also like to thank Dr. Sotiris Orfanidis (NAGREF – Fisheries Research Institute, Kavala, Greece) for his valuable advice and both the DFMR and HSR / HCMR Rhodes crew and George Hatiris for their help in samplings. Special thanks are due to Dinos Leonidou (SeaQuest Divers Cyprus) for accompanying the deep dive for sampling Caulerpa at Cavo Greco. We are grateful to the Total Foundation (Paris) for its funding support to this study within the framework of the project “Brown algal ecology and biodiversity in the eastern Mediterranean Sea” and to the MASTS pooling initiative (Marine Alliance for Science and Technology for Scotland, funded by the Scottish Funding Council and contributing institutions; grant reference HR09011).

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This document lists the eleven votes cast at a meeting of the Boston Medical Society on May 3, 1784. It was authorized as a "true coppy" by Thomas Kast, the Secretary of the Society. The following members of the Society were present at the meeting, all of them doctors: James Pecker, James Lloyd, Joseph Gardner, Samuel Danforth, Isaac Rand, Jr., Charles Jarvis, Thomas Kast, Benjamin Curtis, Thomas Welsh, Nathaniel Walker Appleton, and doctors whose last names were Adams, Townsend, Eustis, Homans, and Whitwell. The document indicates that a meeting had been held the previous evening, as well (May 2, 1784), at which the topics on which votes were taken had been discussed. The votes, eleven in total, were all related to the doctors' concerns about John Warren and his involvement with the emerging medical school (now Harvard Medical School), that school's relation to almshouses, the medical care of the poor, and other related matters. The tone and content of these votes reveals anger on the part of the members of the Boston Medical Society towards Warren. This anger appears to have stemmed from the perceived threat of Warren to their own practices, exacerbated by a vote of the Harvard Corporation on April 19, 1784. This vote authorized Warren to apply to the Overseers of the Poor for the town of Boston, requesting that students in the newly-established Harvard medical program, where Warren was Professor of Anatomy and Surgery, be allowed to visit the hospital of the almshouse with their professors for the purpose of clinical instruction. Although Warren believed that the students would learn far more from these visits, in regards to surgical experience, than they could possibly learn in Cambridge, the proposal provoked great distrust from the members of the Boston Medical Society, who accused Warren of an "attempt to direct the public medical business from its usual channels" for his own financial and professional gain.

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"Reprinted from the Journal of the American Medical Association January 18, 1913."

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Mode of access: Internet.

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v. 1. General report.--v. 2. New York State College of Agriculture.--v. 3. College of Arts and Sciences.--v. 4. School of Education.--v. 5. College of Engineering.--v. 6. Graduate School.--v. 7. New York State College of Home Economics.--v. 8. School of Hotel Administration.--v. 9. New York State School of Industrial and Labor Relations.--v. 10. College of Architecture, Graduate School of Business and Public Administration, Division of Extramural Courses, Law School, Medical College, School of Nursing, Graduate School of Nutrition, Summer Session, New York State Veterinary College.