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<pubDate>Sat, 26 Jul 2008 04:25:15 BST</pubDate>


	<title>CiteULike: Author Maye</title>
	<description>CiteULike: Author Maye</description>


	<link>http://www.citeulike.org/author/Maye</link>
	<dc:publisher>CiteULike.org</dc:publisher>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/briordan/article/2142108"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/bshultz1981/article/119453"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/dna/article/2309940"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/awarlau/article/668453"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/karmarae/article/1644698"/>
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<item rdf:about="http://www.citeulike.org/user/briordan/article/2142108">
    <title>Statistical phonetic learning in infants: facilitation and feature generalization</title>
    <link>http://www.citeulike.org/user/briordan/article/2142108</link>
    <description>&lt;i&gt;Developmental Science, Vol. 11, No. 1. (January 2008), pp. 122-134.&lt;/i&gt;</description>
    <dc:title>Statistical phonetic learning in infants: facilitation and feature generalization</dc:title>

    <dc:creator>Maye</dc:creator>
    <dc:creator>Jessica</dc:creator>
    <dc:creator>Weiss</dc:creator>
    <dc:creator>J Daniel</dc:creator>
    <dc:creator>Aslin</dc:creator>
    <dc:creator>N Richard</dc:creator>
    <dc:identifier>doi:10.1111/j.1467-7687.2007.00653.x</dc:identifier>
    <dc:source>Developmental Science, Vol. 11, No. 1. (January 2008), pp. 122-134.</dc:source>
    <dc:date>2007-12-18T18:38:19-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Developmental Science</prism:publicationName>
    <prism:issn>1363-755X</prism:issn>
    <prism:volume>11</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>122</prism:startingPage>
    <prism:endingPage>134</prism:endingPage>
    <prism:publisher>Blackwell Publishing</prism:publisher>
    <prism:category>general-language-acquisition</prism:category>
    <prism:category>statistical-learning</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/bshultz1981/article/119453">
    <title>Making reconnections in agro-food geography: alternative systems of food provision</title>
    <link>http://www.citeulike.org/user/bshultz1981/article/119453</link>
    <description>&lt;i&gt;Progress in Human Geography, Vol. 29, No. 1. (February 2005), pp. 22-40.&lt;/i&gt;</description>
    <dc:title>Making reconnections in agro-food geography: alternative systems of food provision</dc:title>

    <dc:creator>DCH Watts</dc:creator>
    <dc:creator>B Ilbery</dc:creator>
    <dc:creator>D Maye</dc:creator>
    <dc:identifier>doi:10.1191/0309132505ph526oa</dc:identifier>
    <dc:source>Progress in Human Geography, Vol. 29, No. 1. (February 2005), pp. 22-40.</dc:source>
    <dc:date>2005-03-10T08:48:43-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Progress in Human Geography</prism:publicationName>
    <prism:issn>0309-1325</prism:issn>
    <prism:volume>29</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>22</prism:startingPage>
    <prism:endingPage>40</prism:endingPage>
    <prism:publisher>Hodder Arnold Journals</prism:publisher>
    <prism:category>affluence</prism:category>
    <prism:category>networks</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/dna/article/2309940">
    <title>DNA-guided crystallization of colloidal nanoparticles</title>
    <link>http://www.citeulike.org/user/dna/article/2309940</link>
    <description>&lt;i&gt;Nature, Vol. 451, No. 7178. (31 January 2008), pp. 549-552.&lt;/i&gt;</description>
    <dc:title>DNA-guided crystallization of colloidal nanoparticles</dc:title>

    <dc:creator>Dmytro Nykypanchuk</dc:creator>
    <dc:creator>Mathew Maye</dc:creator>
    <dc:creator>Daniel van der Lelie</dc:creator>
    <dc:creator>Oleg Gang</dc:creator>
    <dc:identifier>doi:10.1038/nature06560</dc:identifier>
    <dc:source>Nature, Vol. 451, No. 7178. (31 January 2008), pp. 549-552.</dc:source>
    <dc:date>2008-01-31T08:32:06-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:volume>451</prism:volume>
    <prism:number>7178</prism:number>
    <prism:startingPage>549</prism:startingPage>
    <prism:endingPage>552</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>origami</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/awarlau/article/668453">
    <title>Infant sensitivity to distributional information can affect phonetic discrimination</title>
    <link>http://www.citeulike.org/user/awarlau/article/668453</link>
    <description>&lt;i&gt;Cognition, Vol. 82, No. 3. (January 2002), pp. B101-B111.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;For nearly two decades it has been known that infants' perception of speech sounds is affected by native language input during the first year of life. However, definitive evidence of a mechanism to explain these developmental changes in speech perception has remained elusive. The present study provides the first evidence for such a mechanism, showing that the statistical distribution of phonetic variation in the speech signal influences whether 6- and 8-month-old infants discriminate a pair of speech sounds. We familiarized infants with speech sounds from a phonetic continuum, exhibiting either a bimodal or unimodal frequency distribution. During the test phase, only infants in the bimodal condition discriminated tokens from the endpoints of the continuum. These results demonstrate that infants are sensitive to the statistical distribution of speech sounds in the input language, and that this sensitivity influences speech perception.</description>
    <dc:title>Infant sensitivity to distributional information can affect phonetic discrimination</dc:title>

    <dc:creator>Jessica Maye</dc:creator>
    <dc:creator>Janet Werker</dc:creator>
    <dc:creator>Louann Gerken</dc:creator>
    <dc:identifier>doi:10.1016/S0010-0277(01)00157-3</dc:identifier>
    <dc:source>Cognition, Vol. 82, No. 3. (January 2002), pp. B101-B111.</dc:source>
    <dc:date>2006-05-24T14:38:18-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Cognition</prism:publicationName>
    <prism:volume>82</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>B101</prism:startingPage>
    <prism:endingPage>B111</prism:endingPage>
    <prism:category>infant-speech-perception</prism:category>
    <prism:category>phonological-development</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/karmarae/article/1644698">
    <title>Fe-Doped Trititanate Nanotubes: Formation, Optical and Magnetic Properties, and Catalytic Applications</title>
    <link>http://www.citeulike.org/user/karmarae/article/1644698</link>
    <description>&lt;i&gt;J. Phys. Chem. C (8 September 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Abstract: We have synthesized crystalline Fe-doped trititanate nanotubes via a wet-chemistry method. The products were characterized by high-resolution transmission electron microscopy (TEM), energy-dispersive X-ray spectrometry (EDS), in-situ X-ray diffraction (XRD), ultraviolet-visible spectrophotometry (UV-vis), synchrotron infrared (IR) spectroscopy, and temperature-dependent magnetometry. The Fe-doped trititanate nanotubes are about 8 nm in diameter and up to 1 m long. EDS revealed that the Fe-doping ratio is about 0.5%, while IR and UV-vis spectra reveal the effects of doping. In-situ XRD experiments demonstrate the transformation of the trititanate to titania phase under a reductive atmosphere. The Fe-doped trititanate nanotubes exhibited noticeable catalytic activity in the water-gas-shift reaction. Magnetic measurements indicate that the Fe-doped trititanate nanotubes comprise a mixture of ferromagnetic and paramagnetic phases.</description>
    <dc:title>Fe-Doped Trititanate Nanotubes: Formation, Optical and Magnetic Properties, and Catalytic Applications</dc:title>

    <dc:creator>WQ Han</dc:creator>
    <dc:creator>W Wen</dc:creator>
    <dc:creator>D Yi</dc:creator>
    <dc:creator>Z Liu</dc:creator>
    <dc:creator>MM Maye</dc:creator>
    <dc:creator>L Lewis</dc:creator>
    <dc:creator>J Hanson</dc:creator>
    <dc:creator>O Gang</dc:creator>
    <dc:identifier>doi:10.1021/jp074381f</dc:identifier>
    <dc:source>J. Phys. Chem. C (8 September 2007)</dc:source>
    <dc:date>2007-09-11T15:53:06-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J. Phys. Chem. C</prism:publicationName>
    <prism:category>catalysis</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jclau/article/1089760">
    <title>Three-dimensional average-shape atlas of the honeybee brain and its applications.</title>
    <link>http://www.citeulike.org/user/jclau/article/1089760</link>
    <description>&lt;i&gt;J Comp Neurol, Vol. 492, No. 1. (7 November 2005), pp. 1-19.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The anatomical substrates of neural nets are usually composed from reconstructions of neurons that were stained in different preparations. Realistic models of the structural relationships between neurons require a common framework. Here we present 3-D reconstructions of single projection neurons (PN) connecting the antennal lobe (AL) with the mushroom body (MB) and lateral horn, groups of intrinsic mushroom body neurons (type 5 Kenyon cells), and a single mushroom body extrinsic neuron (PE1), aiming to compose components of the olfactory pathway in the honeybee. To do so, we constructed a digital standard atlas of the bee brain. The standard atlas was created as an average-shape atlas of 22 neuropils, calculated from 20 individual immunostained whole-mount bee brains. After correction for global size and positioning differences by repeatedly applying an intensity-based nonrigid registration algorithm, a sequence of average label images was created. The results were qualitatively evaluated by generating average gray-value images corresponding to the average label images and judging the level of detail within the labeled regions. We found that the first affine registration step in the sequence results in a blurred image because of considerable local shape differences. However, already the first nonrigid iteration in the sequence corrected for most of the shape differences among individuals, resulting in images rich in internal detail. A second iteration improved on that somewhat and was selected as the standard. Registering neurons from different preparations into the standard atlas reveals 1) that the m-ACT neuron occupies the entire glomerulus (cortex and core) and overlaps with a local interneuron in the cortical layer; 2) that, in the MB calyces and the lateral horn of the protocerebral lobe, the axon terminals of two identified m-ACT neurons arborize in separate but close areas of the neuropil; and 3) that MB-intrinsic clawed Kenyon cells (type 5), with somata outside the calycal cups, project to the peduncle and lobe output system of the MB and contact (proximate) the dendritic tree of the PE1 neuron at the base of the vertical lobe. Thus the standard atlas and the procedures applied for registration serve the function of creating realistic neuroanatomical models of parts of a neural net. The Honeybee Standard Brain is accessible at www.neurobiologie.fu-berlin.de/beebrain.</description>
    <dc:title>Three-dimensional average-shape atlas of the honeybee brain and its applications.</dc:title>

    <dc:creator>R Brandt</dc:creator>
    <dc:creator>T Rohlfing</dc:creator>
    <dc:creator>J Rybak</dc:creator>
    <dc:creator>S Krofczik</dc:creator>
    <dc:creator>A Maye</dc:creator>
    <dc:creator>M Westerhoff</dc:creator>
    <dc:creator>HC Hege</dc:creator>
    <dc:creator>R Menzel</dc:creator>
    <dc:identifier>doi:10.1002/cne.20644</dc:identifier>
    <dc:source>J Comp Neurol, Vol. 492, No. 1. (7 November 2005), pp. 1-19.</dc:source>
    <dc:date>2007-02-06T00:40:18-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>J Comp Neurol</prism:publicationName>
    <prism:issn>0021-9967</prism:issn>
    <prism:volume>492</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>1</prism:startingPage>
    <prism:endingPage>19</prism:endingPage>
    <prism:category>applications</prism:category>
    <prism:category>atlas</prism:category>
    <prism:category>average</prism:category>
    <prism:category>bee</prism:category>
    <prism:category>brain</prism:category>
    <prism:category>imaging</prism:category>
    <prism:category>mri</prism:category>
    <prism:category>shape</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/gcrost/article/668446">
    <title>The development of developmental speech perception research: The impact of Werker and Tees (1984)</title>
    <link>http://www.citeulike.org/user/gcrost/article/668446</link>
    <description>&lt;i&gt;Infant Behavior and Development, Vol. 25, No. 1. (2002), pp. 140-143.&lt;/i&gt;</description>
    <dc:title>The development of developmental speech perception research: The impact of Werker and Tees (1984)</dc:title>

    <dc:creator>Jessica Maye</dc:creator>
    <dc:identifier>doi:10.1016/S0163-6383(02)00112-1</dc:identifier>
    <dc:source>Infant Behavior and Development, Vol. 25, No. 1. (2002), pp. 140-143.</dc:source>
    <dc:date>2006-05-24T14:29:16-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Infant Behavior and Development</prism:publicationName>
    <prism:volume>25</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>140</prism:startingPage>
    <prism:endingPage>143</prism:endingPage>
    <prism:category>speech-perception</prism:category>
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