03040nam 2200577 450 991078777630332120200520144314.00-7618-6140-8(CKB)2670000000491081(EBL)1577405(OCoLC)865333954(SSID)ssj0001165270(PQKBManifestationID)11650643(PQKBTitleCode)TC0001165270(PQKBWorkID)11198516(PQKB)10417605(MiAaPQ)EBC1577405(Au-PeEL)EBL1577405(CaPaEBR)ebr10815261(CaONFJC)MIL550940(OCoLC)871193982(EXLCZ)99267000000049108120131218d2014 uy 0engur|n|---|||||txtccrOvercoming adversity in academia stories from generation x faculty /edited by Elwood WatsonLanham, Maryland :University Press of America,2014.©20141 online resource (272 p.)Includes index.0-7618-6139-4 OVERCOMING ADVERSITY IN ACADEMIA; Contents; Preface; 1. Only Human: My Experience in Higher Education; 2. Confessions of a Bakke Baby: Race, Academia, and the "Joshua Generation"; 3. Taking Chances: Gay, Male and Feminist in the Academy; 4. Tenured To Contingent: Life Choices and the Academic Career; 5. The Evolution of Tolerance: Growing Up as a White Southerner in the Aftermath of Desegregation; 6. Reflections on Navigating Invisibility and the Consequences of Being Black and Gay in the Academy; 7. Reflections Upon One Experience Leading To a Career in Academia8. Living Beyond The Dream Deferred: An Auto-Ethnography of My Experiences in the Academy9. In Search of the Abyss: Negotiating Xtra-Academic Potential; 10. Team Mollick: Our Two-For-One Academic Journey; 11. My Ongoing Journey: A Black Generation X Professor's Story; 12. Leaving the Popular Culture Classroom: Why I'd Rather Keep My Fandom to Myself...; 13. Doogie Howser, Ph.D. in Identity Crisis; 14. Changing the State of Tomorrow Today: One Generation Xer's Journey to End Racism and White Supremacy in the Academy and Beyond; 15. Hopefully Drifting; 16. The Aftermath of Admission17. Notes From An In-BetweenerContributors; IndexThis collection of essays written by seventeen Generation X academics passionately, provocatively, and eloquently demonstrates the personal issues, conflicts, and triumphs that are definitive of this generation. These essays define the voice of an often overlooked and ignored demographic.Generation XDemographyGeneration X.Demography.305.2Watson Elwood1466816MiAaPQMiAaPQMiAaPQBOOK9910787776303321Overcoming adversity in academia3677456UNINA03578nam 2200625 450 991079232140332120230810001457.03-11-042498-310.1515/9783110424904(CKB)3710000000966379(MiAaPQ)EBC4768910(DE-B1597)452019(OCoLC)1002061038(OCoLC)1002233238(OCoLC)1004868589(OCoLC)1011439144(OCoLC)979783430(OCoLC)999355427(DE-B1597)9783110424904(Au-PeEL)EBL4768910(CaPaEBR)ebr11316731(CaONFJC)MIL972851(OCoLC)966546120(EXLCZ)99371000000096637920161219h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierEnvironmental data analysis methods and applications /Zhihua ZhangBerlin, [Germany] ;Boston, [Massachusetts] :De Gruyter,2017.©20171 online resource (334 pages) illustrations3-11-043001-0 3-11-042490-8 Includes bibliographical references at the end of each chapters and index.Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- IndexMost environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields. Contents:PrefaceTime series analysisChaos and dynamical systemsApproximationInterpolationStatistical methodsNumerical methodsOptimizationData envelopment analysisRisk assessmentsLife cycle assessmentsIndex Environmental sciencesData processingEnvironmental sciencesMathematicsData Analysis.Environmental Science.Mathematics.Environmental sciencesData processing.Environmental sciencesMathematics.363.700285Zhang Zhihua1031422MiAaPQMiAaPQMiAaPQBOOK9910792321403321Environmental data analysis3869391UNINA