Búsqueda

Prediction of human blood : air patition coefficient : a comparison of structure-based and property-based methods

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000nab a2200000 i 4500</leader>
    <controlfield tag="001">MAP20071504934</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20080418124433.0</controlfield>
    <controlfield tag="007">hzruuu---uuuu</controlfield>
    <controlfield tag="008">040218e20031201usa||||    | |00010|eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">872</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Prediction of human blood</subfield>
      <subfield code="b">: air patition coefficient : a comparison of structure-based and property-based methods</subfield>
      <subfield code="c">Subhash C. Basak ... [et al.]</subfield>
    </datafield>
    <datafield tag="520" ind1="8" ind2=" ">
      <subfield code="a">In this study, three linear regression methods, viz. principal component regression (PCR), partial least squares (PLS), and ridge regression (RR), were used to devepop QSPR models for the estimation of human blood:air partition coefficient for a group of 31 divers low-molecular weight volatile chemicals from their computed molecular descriptors</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080585679</subfield>
      <subfield code="a">Higiene industrial</subfield>
    </datafield>
    <datafield tag="650" ind1="0" ind2="1">
      <subfield code="0">MAPA20080605278</subfield>
      <subfield code="a">Contaminantes químicos</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080586355</subfield>
      <subfield code="a">Métodos de control</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080591960</subfield>
      <subfield code="a">Métodos de análisis</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080619480</subfield>
      <subfield code="a">Enfermedades profesionales</subfield>
    </datafield>
    <datafield tag="650" ind1="0" ind2="1">
      <subfield code="0">MAPA20080570484</subfield>
      <subfield code="a">Riesgo laboral</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080185206</subfield>
      <subfield code="a">Basak, Subhash C.</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077000345</subfield>
      <subfield code="t">Risk analysis : an international journal</subfield>
      <subfield code="d">New York and London : Society for Risk Analysis</subfield>
      <subfield code="g">Vol. 23, nº 6, December, 2003 ; p. 1173-1184</subfield>
    </datafield>
  </record>
</collection>