LEADER 01811ngm 22004813 450 001 9910887857503321 005 20200805152018.0 035 $a(VaAlASP)4721297 035 $a(CKB)4940000000232871 035 $a(VaAlASP)ASP4721297/marc 035 $a(OCoLC)1195890694 035 $a(EXLCZ)994940000000232871 100 $a20200805d2015 k| v 101 0 $aeng 135 $aur|n||||||||a 181 $ctdi$2rdacontent 182 $cc$2rdamedia 182 $cv$2rdamedia 183 $acr$2rdacarrier 200 00$aScience video vocab. Kinetic energy /$fa production of Mazzarella Media, LLC 210 1$aSouthington, CT :$cMazzarella Media,$d2015. 215 $a1 online resource (4 minutes) 225 0 $aAcademic Video Online 300 $aTitle from resource description page (viewed August 05, 2020). 330 $aIn this video, students will learn that kinetic energy is the energy of motion and that the ability of a moving object to do work is the kinetic energy of the object. Viewers will come to understand that any moving object has the ability to do work and that it can be measured from the objects speed and mass. 517 3 $aKinetic energy 606 $aScience$xStudy and teaching 606 $aPhysics$xStudy and teaching 606 $aMotion$xStudy and teaching 608 $aEducational films.$2lcgft 608 $aShort films.$2lcgft 608 $aChildren's films.$2lcgft 608 $aScience films.$2lcgft 615 0$aScience$xStudy and teaching. 615 0$aPhysics$xStudy and teaching. 615 0$aMotion$xStudy and teaching. 712 02$aMazzarella Media (Firm), 801 0$bVaAlASP 801 1$bVaAlASP 906 $aVIDEO 912 $a9910887857503321 996 $aScience video vocab. Kinetic energy$94248321 997 $aUNINA LEADER 01791nam0 22004093i 450 001 VAN00269189 005 20250227024044.679 017 70$2N$a9781461245261 100 $a20240103d1989 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aExercises in Probability$fT. Cacoullos 210 $aNew York$cSpringer-Verlag$d1989 215 $ax, 248 p.$cill.$d24 cm 410 1$1001VAN00023582$12001 $aProblem books in mathematics$1210 $aNew York [etc.]$cSpringer$d1981- 606 $a00A07$xProblem books [MSC 2020]$3VANC021527$2MF 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a60Dxx$xGeometric probability and stochastic geometry [MSC 2020]$3VANC020491$2MF 606 $a60Exx$xDistribution theory [MSC 2020]$3VANC024526$2MF 606 $a60Fxx$xLimit theorems in probability theory [MSC 2020]$3VANC024670$2MF 610 $aMoments$9KW:K 610 $aRandom variables$9KW:K 610 $aRang$9KW:K 610 $aVariance$9KW:K 610 $aconvergence of random variables$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aCacoullos$bTheophilos$3VANV220884$041617 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250228$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4612-4526-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00269189 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 7952 $e08eMF7952 20240202 996 $aExercises in probability$9345600 997 $aUNICAMPANIA