<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lichen Zhang</style></author><author><style face="normal" font="default" size="100%">Mohsen Mutasem Diraneyya</style></author><author><style face="normal" font="default" size="100%">JuHyeong Ryu</style></author><author><style face="normal" font="default" size="100%">Carl T Haas</style></author><author><style face="normal" font="default" size="100%">Eihab Abdel-Rahman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Assessment of Jerk As a Method of Physical Fatigue Detection</style></title><secondary-title><style face="normal" font="default" size="100%">ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1115/DETC2018-86289</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>