{"id":2018,"date":"2018-04-24T16:50:00","date_gmt":"2018-04-24T07:50:00","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/english\/?post_type=news&#038;p=2018"},"modified":"2022-09-25T16:52:47","modified_gmt":"2022-09-25T07:52:47","slug":"20180424_2473","status":"publish","type":"news","link":"http:\/\/cinetjp-static3.nict.go.jp\/english\/news\/20180424_2473\/","title":{"rendered":"A paper by CiNet PI Noriko Yamagishi was published in PLOS ONE"},"content":{"rendered":"\n<p>http:\/\/journals.plos.org\/plosone\/article\/metrics?id=10.1371\/journal.pone.0195865<\/p>\n\n\n\n<p>[Maekawa, T., Anderson, S.J., de Brecht, M., Yamagishi, N. (2018). The effect of mood state on visual search times for detecting a target in&nbsp;noise: An application of smartphone technology. PLOS ONE,DOI&nbsp;10.1371\/journal.pone.0195865 ]<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/news\/2018"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/news"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/types\/news"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/media?parent=2018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}