LEADER 00781nam0-2200277 --450 001 9910318831203321 005 20190520124836.0 010 $a9788437635392 100 $a20190520d2016----kmuy0itay5050 ba 101 0 $aspa 102 $aES 105 $a 001gy 200 1 $aPoesías$fMiguel de Cervantes$gedición de Adrián J. Sáez 210 $aMadrid$cCatedra$d2016 215 $a483 p.$d18 cm 225 1 $aLetras hispánicas$v773 676 $a861.3$v22 700 1$aCervantes Saavedra,$bMiguel de$f<1547-1616>$0131561 702 1$aSáez,$bAdrián J.$f<1988-> 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910318831203321 952 $a863.3 CERV 8(1)$bBibl.2019$fFLFBC 959 $aFLFBC 996 $aPoesías$91553626 997 $aUNINA LEADER 02077nam 2200385 450 001 9910795573203321 005 20230126222548.0 010 $a3-8325-9932-0 035 $a(CKB)4340000000242853 035 $a(MiAaPQ)EBC5219728 035 $a58a1c69a-edcc-4701-8c04-3edeb0dd2d03 035 $a(EXLCZ)994340000000242853 100 $a20180507d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBetween pain and math $ehow expectations shape cognitive processes from neural activity to behaviour /$fKatharina Schwarz 210 1$aBerlin, Germany :$cLogos Verlag Berlin,$d2015. 215 $a1 online resource (181 pages) 300 $aPublicationDate: 20151028 311 $a3-8325-4127-6 330 $aLong description: Expectancy effects are a wide-spread phenomenon, influencing cognitive operations from basic stimulus processing to higher cognitive functions. Their influence often goes unnoticed, even though it leaves a lasting fingerprint on perception and behaviour. The present work aims at providing an improved framework for understanding the impact of expectations by fusing two major fields of research on this question: the study of traditional placebo effects in clinical settings and of social expectancies such as stereotype-related beliefs. Behavioural patterns and physiological mechanisms underlying the phenomena are identified and compared to current models of stereotype and placebo effects. The presented findings give new insights on the effects of expectations on cognition, and represent a first step to identify basic global mechanisms underlying different forms of the phenomena. 606 $aStereotypes (Social psychology) 615 0$aStereotypes (Social psychology) 676 $a303.385 700 $aSchwarz$b Katharina$01487048 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910795573203321 996 $aBetween pain and math$93706744 997 $aUNINA LEADER 04194nam 22006135 450 001 9910299404503321 005 20200629151719.0 010 $a3-319-71342-6 024 7 $a10.1007/978-3-319-71342-7 035 $a(CKB)4100000001381698 035 $a(DE-He213)978-3-319-71342-7 035 $a(MiAaPQ)EBC5210552 035 $a(PPN)222226048 035 $a(EXLCZ)994100000001381698 100 $a20171226d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Double Constraint Inversion Methodology $eEquations and Applications in Forward and Inverse Modeling of Groundwater Flow /$fby Wouter Zijl, Florimond De Smedt, Mustafa El-Rawy, Okke Batelaan 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 101 p. 13 illus.) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 311 $a3-319-71341-8 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Foundations of Forward and Inverse Groundwater Flow Models -- The Pointwise Double Constraint Method -- Time Dependency -- Case Study Kleine Nete: Pointwise DCM with Bounded Anisotropy -- Case Study Schietveld: Pointwise DCM with Fixed Anisotropy -- The Zone Integrated Double Constraint Method -- Case Study Schietveld: Zone-Integrated DCM Compared with Gradient Method -- Summary and Conclusions. 330 $aThis book describes a novel physics-based approach to inverse modeling that makes use of the properties of the equations governing the physics of the processes under consideration. It focuses on the inverse problems occurring in hydrogeology, but the approach is also applicable to similar inverse problems in various other fields, such as petroleum-reservoir engineering, geophysical and medical imaging, weather forecasting, and flood prediction. This approach takes into consideration the physics ? for instance, the boundary conditions required to obtain a well-posed mathematical problem ? to help avoid errors in model building and therefore enhance the reliability of the results. In addition, this method requires less computation time and less computer memory. The theory is presented in a comprehensive, not overly mathematical, way, with three practice-oriented hydrogeological case studies and a comparison with the conventional approach illustrating the power of the method. Forward and Inverse Modeling of Groundwater Flow is of use to researchers and graduate students in the fields of hydrology, as well as to professional hydrologists within industry. It also appeals to geophysicists and those working in or studying petroleum reservoir modeling and basin modeling. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 606 $aHydrogeology 606 $aGeophysics 606 $aEnvironmental sciences 606 $aHydrogeology$3https://scigraph.springernature.com/ontologies/product-market-codes/G19005 606 $aGeophysics and Environmental Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P32000 606 $aMath. Appl. in Environmental Science$3https://scigraph.springernature.com/ontologies/product-market-codes/U24005 615 0$aHydrogeology. 615 0$aGeophysics. 615 0$aEnvironmental sciences. 615 14$aHydrogeology. 615 24$aGeophysics and Environmental Physics. 615 24$aMath. Appl. in Environmental Science. 676 $a551.49015118 700 $aZijl$b Wouter$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062804 702 $aDe Smedt$b Florimond$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aEl-Rawy$b Mustafa$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aBatelaan$b Okke$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299404503321 996 $aThe Double Constraint Inversion Methodology$92528622 997 $aUNINA