1,721,053 research outputs found

    Applications of balance optimization subset selection

    Full text link
    Balance Optimization Subset Selection (BOSS) is a framework designed to be used for causal inference on observational data. The theoretical foundation for the BOSS framework has been provided in the literature; this thesis aims to provide some examples of the practical value of BOSS by using it on two problems. The first application is using BOSS to determine a subset of users who would be suitable targets for marketing efforts, and the second application is using BOSS to identify potential first-round upsets in the NCAA basketball tournament. Finally, this thesis delves into another area of college basketball and attempts to model the process of the NCAA tournament selection committee using a decision tree.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-08-01The student, Shouvik Dutta, accepted the attached license on 2016-07-19 at 12:51.The student, Shouvik Dutta, submitted this Thesis for approval on 2016-07-19 at 12:54.This Thesis was approved for publication on 2016-07-21 at 14:08.DSpace SAF Submission Ingestion Package generated from Vireo submission #10013 on 2016-11-10 at 12:21:00Made available in DSpace on 2016-11-10T18:27:07Z (GMT). No. of bitstreams: 2 DUTTA-THESIS-2016.pdf: 645024 bytes, checksum: 2db51a406961fe95b3cc42b8d0e55feb (MD5) LICENSE.txt: 4210 bytes, checksum: c742995ea6b0e1b88acbf8698e6a703a (MD5) Previous issue date: 2016-07-21Embargo set by: Seth Robbins for item 95292 Lift date: 2018-11-10T18:28:02Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 95292 on 2018-11-11T10:15:19Z

    Five decades of healthcare simulation

    No full text
    In this paper we have not attempted to produce any kind of systematic review of simulation in healthcare to compete with the dozen (at least) excellent and comprehensive survey papers on this topic that already exist. We begin with a glance back at the early days of Wintersim, but then proceed, in line with the theme of this special track, to reflect on general developments in healthcare simulation over the years from our own personal perspectives. We include some memories and reflections by several pioneers in this area, both academics and healthcare practitioners, on both sides of the Atlantic. We also asked four current simulation modelers, who all specialize in healthcare applications but from very diverse perspectives, to reflect on their experiences. We endeavor to identify some common or recurring themes across the years, and end with a glimpse into the future.</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

    Full text link
    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

    Full text link
    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

    Full text link
    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

    No full text
    Nao informado

    Essays on the relationship between public transit usage and obesity

    Full text link
    My dissertation consists of two essays which analyze the impact of public transit usage on obesity. Chapter 1 introduces the backgrounds of this field and layout the general framework of this thesis work. Chapter 2 conducts a cross sectional study on the impact of county population level public transit usage on obesity rates. Since the obese population may have different commuting preference in comparison to non-obese population, one can over or under estimate this effect if these preference differences are not properly controlled. This study adopts an instrumental regression approach to implicitly control for the possible selection bias due to different commuting preferences among different populations. The 2009 health data from the Behavioral Risk Factor Surveillance System (BRFSS) and transportation data from the 2009 National Household Travel Survey (NHTS) are aggregated and matched at the county level. Measures of county level public transit accessibility and vehicle ownership rates are chosen as instrumental variables to implicitly control for unobservable commuting preferences. The model suggests that a one percent increase in county population usage of public transit is associated with a 0.287 percent decrease in county population obesity rate at the alpha=0.01 statistical significance level, when commuting preferences, amount of non-travel physical activity, health resource and distribution of income are fixed. This study provides empirical support for the effectiveness of encouraging public transit usage as an intervention strategy for obesity. Chapter 3 presents a longitudinal study on this topic. Annual health data from the Behavioral Risk Factor Surveillance System (BRFSS) and transportation data from the National Household Travel Survey (NHTS) were aggregated and matched at the county level, to create a panel data set with 229 counties (from 45 states) across two time periods, 2001 and 2009. Possible confounding variables such as amount of leisure time physical activity, health care coverage and distribution of income are explicitly controlled. All time-invariant county level heterogeneities are implicitly controlled using first difference estimators. This study shows that making frequent public transit commuting possible in a county can effectively decrease the county obesity rate. Specifically, a one percent emergence of frequent public transit riders in a county population is estimated to decrease the county population obesity rate by 0.18% or more. This result supports findings in previous research that the extra amount of physical activities involved in public transit usage can have a statistically significant impact on obesity. In addition, this study also provides empirical evidence for the effectiveness of encouraging public transit usage as a public health intervention for obesity. Chapter 4 concludes this thesis work as well as postulates directions for future study.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-08-01The student, Zhaowei She, accepted the attached license on 2017-07-19 at 13:19.The student, Zhaowei She, submitted this Thesis for approval on 2017-07-19 at 13:32.This Thesis was approved for publication on 2017-07-19 at 15:32.DSpace SAF Submission Ingestion Package generated from Vireo submission #11534 on 2018-03-02 at 13:02:43Made available in DSpace on 2018-03-02T19:59:47Z (GMT). No. of bitstreams: 2 SHE-THESIS-2017.pdf: 271866 bytes, checksum: ba50cb7683eb336cb124598b89b2eaa0 (MD5) LICENSE.txt: 4208 bytes, checksum: c6051d6cb2099edb9e17bafe3edfe842 (MD5) Previous issue date: 2017-07-19Embargo set by: Seth Robbins for item 105082 Lift date: 2020-03-02T19:59:52Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105082 Lift date: 2020-03-02T20:02:46Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105082 on 2020-03-03T10:15:11Z

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

    No full text
    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
    corecore