No Cover Image

Journal article 372 views

Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation

Ognjen Arandjelović, Ognjen Arandjelovic

European Journal of Applied Physiology, Volume: 111, Issue: 8, Pages: 1715 - 1723

Swansea University Author: Ognjen Arandjelovic

Full text not available from this repository: check for access using links below.

Published in: European Journal of Applied Physiology
ISSN: 1439-6319 1439-6327
Published: 2011
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa9284
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-07-23T12:02:03Z
last_indexed 2018-02-09T04:38:10Z
id cronfa9284
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2011-10-01T00:00:00.0000000</datestamp><bib-version>v2</bib-version><id>9284</id><entry>2012-03-18</entry><title>Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation</title><swanseaauthors><author><sid>be40efa04553725fcc952c355e4a62f8</sid><firstname>Ognjen</firstname><surname>Arandjelovic</surname><name>Ognjen Arandjelovic</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-03-18</date><abstract></abstract><type>Journal Article</type><journal>European Journal of Applied Physiology</journal><volume>111</volume><journalNumber>8</journalNumber><paginationStart>1715</paginationStart><paginationEnd>1723</paginationEnd><publisher/><placeOfPublication/><issnPrint>1439-6319</issnPrint><issnElectronic>1439-6327</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2011</publishedYear><publishedDate>2011-12-31</publishedDate><doi>10.1007/s00421-010-1814-y</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2011-10-01T00:00:00.0000000</lastEdited><Created>2012-03-18T01:54:56.7639898</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Ognjen</firstname><surname>Arandjelovi&#x107;</surname><order>1</order></author><author><firstname>Ognjen</firstname><surname>Arandjelovic</surname><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2011-10-01T00:00:00.0000000 v2 9284 2012-03-18 Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation be40efa04553725fcc952c355e4a62f8 Ognjen Arandjelovic Ognjen Arandjelovic true false 2012-03-18 Journal Article European Journal of Applied Physiology 111 8 1715 1723 1439-6319 1439-6327 31 12 2011 2011-12-31 10.1007/s00421-010-1814-y COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2012-03-18T01:54:56.7639898 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ognjen Arandjelović 1 Ognjen Arandjelovic 2
title Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
spellingShingle Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
Ognjen Arandjelovic
title_short Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
title_full Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
title_fullStr Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
title_full_unstemmed Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
title_sort Optimal effort investment for overcoming the weakest point: new insights from a computational model of neuromuscular adaptation
author_id_str_mv be40efa04553725fcc952c355e4a62f8
author_id_fullname_str_mv be40efa04553725fcc952c355e4a62f8_***_Ognjen Arandjelovic
author Ognjen Arandjelovic
author2 Ognjen Arandjelović
Ognjen Arandjelovic
format Journal article
container_title European Journal of Applied Physiology
container_volume 111
container_issue 8
container_start_page 1715
publishDate 2011
institution Swansea University
issn 1439-6319
1439-6327
doi_str_mv 10.1007/s00421-010-1814-y
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2011-12-31T03:11:13Z
_version_ 1763749997683146752
score 11.012678