• Title/Summary/Keyword: Multi-class

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Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0

  • Kim, Sunho;Kim, Royoung;Nam, Hee-Jo;Kim, Ryeo-Gyeong;Ko, Enjin;Kim, Han-Su;Shin, Jihye;Cho, Daeun;Jin, Yurhee;Bae, Soyeon;Jo, Ye Won;Jeong, San Ah;Kim, Yena;Ahn, Seoyeon;Jang, Bomi;Seong, Jiheyon;Lee, Yujin;Seo, Si Eun;Kim, Yujin;Kim, Ha-Jeong;Kim, Hyeji;Sung, Hye-Lynn;Lho, Hyoyoung;Koo, Jaywon;Chu, Jion;Lim, Juwon;Kim, Youngju;Lee, Kyungyeon;Lim, Yuri;Kim, Meongeun;Hwang, Seonjeong;Han, Shinhye;Bae, Sohyeun;Kim, Sua;Yoo, Suhyeon;Seo, Yeonjeong;Shin, Yerim;Kim, Yonsoo;Ko, You-Jung;Baek, Jihee;Hyun, Hyejin;Choi, Hyemin;Oh, Ji-Hye;Kim, Da-Young;Park, Hyun-Seok
    • Genomics & Informatics
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    • v.18 no.3
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    • pp.33.1-33.7
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    • 2020
  • This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.

A Safety Survey on Pesticide Residues in Dried Agricultural Products (건조농산물의 잔류농약 안전성 조사)

  • Lee, Hyo-Kyung;Oh, Moon-Seog;Jeong, Jin-A;Kim, Ki-Yu;Lee, Seong-Bong;Kim, Han-Taek;Kang, Hyang-Ri;Son, Ji-Hee;Lee, Yun-Mi;Lee, Mi-Kyoung;Lee, Byoung-Hoon;Kim, Ji-Won;Park, Yong-Bae
    • Journal of Food Hygiene and Safety
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    • v.34 no.4
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    • pp.340-347
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    • 2019
  • We performed a safety survey on residual pesticides in dried agricultural products. A total of 110 samples of dried agricultural products distributed in Gyeonggi-do were analyzed for 263 pesticides according to multi class pesiticide multiresidue method. Ten types of pesticides were detected in 10 samples. Chlorpyrifos was detected in Ricinus communis leaves, chlorpyrifos, hexaconazole, pyridalyl in Chwinamul (wild aster), diniconazole, isoprothiolane, lufenuron in radish leaves, hexaconazole in Cirsium setidens (Korean thistle), bifenthrin, and chlorothalonil, boscalid, and pyraclostrobin in pepper leaves. The detection rate of pesticides was 9.1%, and among these samples, one was detected over Maximum Residue Limits (MRLs). In the validation study, the values of limit of detection (LOD), limit of quantitation (LOQ), coefficient of determination ($R^2$) and recovery were in the range of 0.002~0.027 mg/kg, 0.006~0.083 mg/kg, 0.9964~1.0000 and 74.8~118.9%, respectively. The Positive List System (PLS) was newly introduced as part of the safety management of residual pesticide in agricultural products in Korea in 2019. With the application of the PLS, if the MRL is not established, 0.01 mg/kg limit is applied uniformly. In spite, these of strengthened residue limits, the MRLs of dried agricultural products are still insufficient. Therefore, this study could be utilized as basic data for the setting of proper MRLs.