LEADER 02160nam 2200553Ia 450 001 9910697527103321 005 20080924122812.0 035 $a(CKB)5470000002389684 035 $a(OCoLC)256491517 035 $a(EXLCZ)995470000002389684 100 $a20080924d2005 ua 0 101 0 $aeng 135 $auran||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAttitudes toward health insurance among adults age 18 and over$b[electronic resource] /$fSteve Machlin and Kelly Carper 210 1$a[Rockville, Md.] :$cMedical Expenditure Panel Survey, Agency for Healthcare Research and Quality,$d[2005] 215 $a6 unnumbered pages $cdigital, PDF file 225 1 $aStatistical brief ;$v#87 300 $aTitle from title screen (viewed Sept. 24, 2008). 300 $a"July 2005." 320 $aIncludes bibliographical references. 330 $aThis Statistical Brief presents characteristics of persons in the U.S. civilian noninstitutionalized (community) population in calendar year 2002 who were in the top 5 percent of the medical expenditure distribution compared with persons in the bottom 50 percent of that distribution. 606 $aHealth attitudes$xAge factors$zUnited States 606 $aHealth insurance$zUnited States$vStatistics 606 $aInsurance, Health 606 $aAttitude to Health 606 $aHealth Care Surveys 606 $aAdult 607 $aUnited States 608 $aStatistics. 608 $aStatistics.$2lcgft 615 0$aHealth attitudes$xAge factors 615 0$aHealth insurance 615 12$aInsurance, Health. 615 12$aAttitude to Health. 615 12$aHealth Care Surveys. 615 22$aAdult. 700 $aMachlin$b Steve$01413790 701 $aCarper$b Kelly$01405816 712 02$aUnited States.$bAgency for Healthcare Research and Quality. 712 02$aMedical Expenditure Panel Survey (U.S.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910697527103321 996 $aAttitudes toward health insurance among adults age 18 and over$93511095 997 $aUNINA LEADER 01993nam 2200457z- 450 001 9910493738203321 005 20210724 010 $a1000130176 035 $a(CKB)5590000000537439 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/71407 035 $a(oapen)doab71407 035 $a(EXLCZ)995590000000537439 100 $a20202107d2021 |y 0 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAssistenzsysteme zur Reduktion des Scha?digungsverhaltens von Komponenten einer mobilen Arbeitsmaschine 210 $aKarlsruhe$cKIT Scientific Publishing$d2021 215 $a1 online resource (264 p.) 225 1 $aKarlsruher Schriftenreihe Fahrzeugsystemtechnik 311 08$a3-7315-1089-8 330 $aIn this work, modular damage reduction assistance systems are investigated. Identification modules provide information about the current driving and working state, the machine operator, the bulk material mass and system parameters. Damage modules with complexity reduced calculation approaches allow a quantification of the machine damage. Possible applications and the potential of the assistance systems are demonstrated in a model-based development environment. 606 $aMechanical engineering & materials$2bicssc 610 $aassistance systems 610 $aAssistenzsysteme 610 $adamage reduction 610 $amachine learning 610 $aMachine Learning 610 $amodel-based development 610 $aModellbasierte Entwicklung 610 $aRadlader 610 $aScha?digungsreduktion 610 $awheel loader 615 7$aMechanical engineering & materials 700 $aBrinkschulte$b Lars$4auth$01296197 906 $aBOOK 912 $a9910493738203321 996 $aAssistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine$93023885 997 $aUNINA