1.2 10 1.2 1 10 mods info:srw/schema/1/mods-v3.5 xml 1textOttawa99999999-monographicCanadian General Standards Board103753573111NEG.-ZS II A30-10-1830-10-181037535731rak info:srw/schema/1/mods-v3.5 xml 2Deutsches Institut für NormungisbHerausgebendes OrgantextBerlinBeuth Verlag GmbH2120monographicgereng19 SeitenNormenausschuss Materialprüfung (NMP) im DIN, Fachausschuss Mineralöl- und Brennstoffnormung (FAM) des NMP, Normenausschuss Automobiltechnik (NAAutomobil) im DIN185801211228-08-2312-03-241858012112rda info:srw/schema/1/mods-v3.5 xml 3Pardo, Scott A.Scott A.PardoautVerfasserIntextChamSpringer International Publishing2026monographiceng298 SeitenThis book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies. It provides an introduction to commonly used methods that are not covered in a first elementary statistics course, such as partial least squares, MCMC, and neural networks. It also provides R code for making all the computations described in the text. As a textbook, it could be used as a second course instatistics for non-statisticians, in fields such as social sciences, public policy, engineering, chemistry, and physics. Many first-year graduate students have had an elementary statistics course, but were not exposed to enough of the mathematics to justify the application of those methods. Furthermore, they often encounter methods and concepts not touched upon in their first statistics course. This book provides the tools required to give a deeper understanding of statistical methods without being all about theorems and proofsScott A. PardoCOMPUTERS / Artificial IntelligenceCOMPUTERS / Mathematical & Statistical SoftwareMATHEMATICS / Probability & Statistics / GeneralMaschinelles LernenSOCIAL SCIENCE / StatisticsSozialforschung und -statistikWahrscheinlichkeitsrechnung und StatistikBayesian methodsHypothesis testsIntermediate 2nd CourseLinear ModelsMCMCMachine learningModel BuildingResampling methodsSampling Plansstatistical methods197353099622-06-2622-06-261973530996rda info:srw/schema/1/mods-v3.5 xml 4LeTabard, GuillaumeGuillaumeTabardautVerfasserIntext2026frepar Guillaume TabardLeParisLe Figaro1854129310557197326987218-06-2618-06-261973269872rda info:srw/schema/1/mods-v3.5 xml 5poemsDrohan, ColinColinDrohanautVerfasserIntextReno, NevadaUniversity of Nevada Press2026monographicengpages cm"It's Late approaches the world with openness and affection, prioritizing wonder about plants, animals, and other people, as well as individual and communal pasts, presents, and futures as a guiding force"-- Provided by publisherColin DrohanPoetryPS3604.R73811/.6197323816017-06-2617-06-261973238160rda info:srw/schema/1/mods-v3.5 xml 6poemsWarren, LindseyLindseyWarrenautVerfasserIntextReno, NevadaUniversity of Nevada Press2026monographicengpages cm"Saint October is a collection of title-less poems that create a network throughout the season of autumn"-- Provided by publisherLindsey WarrenPoetryPS3623.A86464811/.6197323813617-06-2617-06-261973238136rda info:srw/schema/1/mods-v3.5 xml 7Herberger, MarieMarieHerberger1990autVerfasserIntext2026gerProf. Dr. Marie Herberger, LL.M., Universität BielefeldMünchenC.H. Beck188112953857419732253602033In: PG 1801419810417-06-2617-06-261973225360rda info:srw/schema/1/mods-v3.5 xml 8Ola, IdrisIdrisOlaautVerfasserInSeum, TeresaTeresaSeumautVerfasserInCarlsson, Sigrid V.Sigrid V.CarlssonautVerfasserInHoffmeister, MichaelMichaelHoffmeister1973autVerfasserInBrenner, HermannHermannBrennerautVerfasserIntext2026April 2026engDiagrammeBackground - Quantitative fecal immunochemical test (FIT) is widely used for colorectal cancer (CRC) screening, with substantial variation in positivity thresholds across countries. This study examines how these thresholds affect FIT's diagnostic performance for detecting CRC and advanced precancerous lesions (APCL). - Methods - We analyzed data from a single round screening of 7398 men and women aged 50-79 years, enrolled between 2008 and 2020 in the German BLITZ study, who provided a stool sample for FIT prior to screening colonoscopy. Using FIT positivity thresholds from 30 countries across five continents, we estimated positivity rates, sensitivities for CRC, APCL, and any advanced neoplasia (AN), as well as specificity for no AN, with colonoscopy as the reference standard. Subgroup analyses were conducted by age and sex. - Findings - FIT positivity thresholds across the included countries ranged from 8.5 (Belgium, Flanders) to 120 μg Hb/g feces (England, Wales and Northern Ireland). This wide range went along with very wide ranges of positivity rates and diagnostic performance parameters: positivity rate, 17.6% (95% CI: 16.7-18.5) to 2.6% (95% CI: 2.3-3.0); sensitivity for CRC, 98.1% (95% CI: 90.1-100.0) to 55.6% (41.4-69.1); sensitivity for APCL, 45.5% (95% CI: 41.9-49.0) to 12.2% (95% CI: 10.0-14.7); sensitivity for any AN, 48.9% (95% CI: 45.4-52.4) to 15.0% (95% CI: 12.7-17.7); specificity for no AN, 86.3% (95% CI: 85.5-87.2) to 98.9% (95% CI: 98.7-99.2). - Interpretation - The broad range of FIT positivity thresholds across countries goes along with very different diagnostic performance parameters. While this limits comparability of results between countries, our results underscore the potential of FIT as a flexible screening tool that can be adapted to the evolving healthcare system capacities in different countries. - Funding - German Research Council, the Federal Ministry of Education and Research, and the German Cancer Aid.Idris Ola, Teresa Seum, Sigrid V. Carlsson, Michael Hoffmeister, and Hermann BrennerOnline verfügbar: 16. März 2026Gesehen am 16.06.2026ColonoscopyColorectal cancer screeningFIT thresholdsSensitivitySpecificityStool-based testAmsterdamElsevier2018Online-Ressource10352718341973102285https://doi.org/10.1016/j.eclinm.2026.103835https://www.sciencedirect.com/science/article/pii/S2589537026000829941916-06-2616-06-261973102285rda info:srw/schema/1/mods-v3.5 xml 9Wright, RobertRobertWrightautVerfasserIntextRiversideSimon & Schuster2026Export edmonographiceng354 SeitenFrom bestselling author and Pulitzer Prize finalist Robert Wright comes a sweeping new view of artificial intelligence-as an evolutionary force that will pose deep political and spiritual challenges and could, in the process, give our species a unifying sense of purpose. The God Test is the first book to capture the power behind the AI revolution-to clearly explain the breakthroughs that sparked the current wave of advance and compellingly show why this wave will grow in magnitude and meaning. Written by one of our foremost public intellectuals, and informed by his decades of chronicling the digital age, the book argues that we are about to witness the most abruptly dramatic social transformation in the history of our species. Wright says that to truly understand this moment in technological history, we need to expand our perspective beyond the last century or even the whole history of technology and look back across billions of years of life on Earth. The advance of AI, he argues, is driven by evolutionary dynamics like those that led to intelligent life in the first place. And understanding those dynamics can empower us to confront our climactic challenge: Can we muster the political, moral, and even spiritual resources needed to guide this technology wisely? If we fail, the consequences for the whole planet could be grave. But if we meet the challenge-if we pass "the God test"-we can live in a world where humanity thrives, finding not just happiness but deeper meaning and purpose. The very machines that might otherwise imperil or oppress us can enrich us, helping us transcend the psychological impediments to human concord and fulfillmentRobert WrightCOMPUTERS / Expert SystemsExpert systems / knowledge-based systemsPrognosen, ZukunftsstudienSOCIAL SCIENCE / Future StudiesSocial forecasting, future studiesWissensbasierte Systeme, Expertensysteme197309383915-06-2615-06-261973093839rda info:srw/schema/1/mods-v3.5 xml 10The New Blueprint for Success Beyond Grades, Test Scores, and College AdmissionHomayoun, AnaAnaHomayounautVerfasserIntext[Erscheinungsort nicht ermittelbar]Balance2026monographiceng256 SeitenAna HomayounAdvice on parentingAge groups: childrenAltersgruppen: KinderChild & developmental psychologyEDU051000EDU060010EDUCATION / HistoryEducational psychologyEntwicklungspsychologieFAMILY & RELATIONSHIPS / Parenting / GeneralGeschichte der PädagogikHistory of educationPSYCHOLOGY / Developmental / ChildPädagogische PsychologieRatgeber für ElternSchoolsSchulen und Vorschulen370.973197309308115-06-2615-06-261973093081rda