04080nam 2200865 450 991079822290332120230125183954.01-60650-966-7(CKB)3710000000654796(EBC)4516664(OCoLC)949865378(CaBNvSL)swl00406516(MiAaPQ)EBC4516664(Au-PeEL)EBL4516664(CaPaEBR)ebr11206241(CaONFJC)MIL917984(OCoLC)950465321(EXLCZ)99371000000065479620160514d2016 fy 0engurcnu||||||||rdacontentrdamediardacarrierEvolutionary history /Christopher J. Paradise, A. Malcolm CampbellNew York, [New York] (222 East 46th Street, New York, NY 10017) :Momentum Press,2016.1 online resource (65 pages) illustrationsBiology collection1-60650-965-9 Includes bibliographical references and index.1. Descent with modification and adaptive radiations can be observed -- Adaptive radiation of orchids from a common ancestor -- Rapid diversification in bats -- 2. Terrestrial plants evolved from aquatic ancestors millions of years ago -- 3. Humans evolved from hominid ancestors in Africa -- Ethical, legal, social implications: eugenics yesterday and today -- Ethical, legal, social implications: evolution has not reached its peak; humans are still evolving -- 4. Evolution can occur quickly in response to strong selection -- Ethical, legal, social implications: overuse of chemicals like pesticides and antibiotics can have detrimental effects -- Conclusion -- Glossary -- Index.This book describes how evolutionary history is studied using several well-known examples and also using evolutionary trees. Evolutionary trees are analyzed and used to explain adaptive radiations of orchids and the diversification of bats over geologic time. Evolutionary trees and genetic evidence is used to infer when and from what ancestors terrestrial plants evolved and invaded land. Specific adaptations of early land plants led to the evolution of terrestrial plants and their success on land. Evidence about the ancestors and habitats of humans is used to infer and analyze the evolution of the human family tree, whose populations were subject to the same forces of evolution to which other species are subject. Human evolution was not linear, involved offshoot species that did not survive, and took many thousands of years. In contrast, evolution can be seen in just a few years or less in other examples, and analysis of the evolution of mechanisms of pesticide resistance in insects will be used to illustrate this rapid evolution.Biology collection.Evolution (Biology)PlantsEvolutionHuman evolutionLibros electronicos.speciesextinctionevolutionpopulationspeciationadaptive radiationsnatural selectionancestorscommon ancestorlineagedescendantsevolutionary treephenotypehominidsradioisotope datingrelative datingpopulation geneticsheterozygousantibiotic resistancehomozygouspesticide resistanceadaptationEvolution (Biology)PlantsEvolution.Human evolution.575Paradise Christopher J.1466173Campbell A. Malcolm.FINmELBFINmELBBOOK9910798222903321Evolutionary history3676508UNINA03632nam 2200601 450 991081090010332120200520144314.01-000-98142-81-000-97616-51-003-44756-21-62036-578-2(CKB)4100000005116687(Au-PeEL)EBL5447542(CaPaEBR)ebr11591366(OCoLC)1044792455(MiAaPQ)EBC5447542(EXLCZ)99410000000511668720180724d2018 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe analytics revolution in higher education big data, organizational learning, and student success /edited by Jonathan S. Gagliardi, Amelia Parnell, and Julia Carpenter-Hubin ; foreword by Randy L. SwingFirst edition.Sterling, Virginia :Stylus Publishing, LLC,[2018]©20181 online resource (240 pages)1-62036-576-6 Includes bibliographical references and index.The analytics revolution in higher education / Jonathan S. Gagliardi -- Higher education decision support : building capacity, adding value / Daniel Cohen-Vogel -- Cultural and organizational structures and functions of institutional research / Julia Carpenter-Hubin and Jason Sullivan -- Data analytics for student success : elaborate profusion of institutional research into student affairs / Amelia Parnell -- The IT-IR nexus : three essentials for driving institutional change through data and analytics / Timothy Chester -- Pursuit of analytics and the challenge of organizational change management for institutional research / Angela Y. Baldasare -- Enrollment to career : dynamics of education and the workforce / Stephanie Bond-Huie -- State system research : increasing products, data, roles, and stakeholders / Angela Bell -- Moving from data to action : changing institutional culture and behavior / Desdemona Cardoza and Jeff Gold -- New and emerging frameworks for decision analytics : a data governance perspective / Ronald L. Huesman and Steve A. Gillard -- Examining how the analtics revolution matters to higher education policy makers : data analytics, systemness, and enabling student success / Jason E. Lane -- Evolving from reflective to predictive : Montgomery Community College and analytics / Celeste Schwartz, Kent Phillipe, David Kowalski, and Angela Polec -- Unpacking the messiness of harnessing the analytics revolution / Jonathan S. Gagliardi.Education, HigherResearchUnited StatesData processingEducation, HigherResearchUnited StatesStatistical methodsEducational statisticsUnited StatesUniversities and collegesUnited StatesAdministrationData processingEducation, HigherResearchData processing.Education, HigherResearchStatistical methods.Educational statisticsUniversities and collegesAdministrationData processing.378.007Swing Randy L.Parnell Amelia R.Gagliardi Jonathan S.Carpenter-Hubin JuliaAssociation for International Research,American Council on Education,MiAaPQMiAaPQMiAaPQBOOK9910810900103321The analytics revolution in higher education4048759UNINA