Showing results (31-40 of 107) with videos related to
Sort By:
Pageof 11
Water Environment Research : a Research Publication of the Water Environment Federation|December 17, 2014
Multivariate analyses for monitoring EDCs and PPCPs in a lake waterMinji Park, David Reckhow, Michael Lavine, et al.Journal of the American Mosquito Control Association|October 25, 2011
Preliminary vivax malaria vector competence for three members of the Anopheles hyrcanus group in the Republic of KoreaDeepak Joshi, Jung-Yeon Kim, Wej Choochote, et al.Marine Pollution Bulletin|June 6, 2009
An approach to analyses of periphytic ciliate colonization for monitoring water quality using a modified artificial substrate in Korean coastal watersHenglong Xu, Gi-Sik Min, Joong-Ki Choi, et al.Human Genetics|September 20, 2023
Frequency of actionable secondary findings in 7472 Korean genomes derived from the National Project of Bio Big Data pilot studyYoungjun Kim, Jeong-Min Kim, Hye-Won Cho, et al.Water Research|May 23, 2016
Modeling spatiotemporal bacterial variability with meteorological and watershed land-use characteristicsYoonKyung Cha, Mi-Hyun Park, Sang-Hyup Lee, et al.Stem Cell Research|June 1, 2020
Generation of induced pluripotent stem cells (KSCBi009-A) from a patient with Prader-Willi syndrome (PWS) featuring deletion of the paternal chromosome region 15q11.2-q13Bo-Young Kim, Jin-Sung Lee, Yong-Ou Kim, et al.Plos One|August 10, 2017
Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing dataBo-Young Kim, Jung Hoon Park, Hye-Yeong Jo, et al.Water Research|July 13, 2012
The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USAKyung Hwa Cho, Yakov A Pachepsky, Joon Ha Kim, et al.Stem Cell Research|November 23, 2019
Generation of patient-specific induced pluripotent stem cells (KSCBi007-A) derived from a patient with Prader-Willi syndrome retain maternal uniparental disomy (UPD)Bo-Young Kim, Jin-Sung Lee, Yong-Ou Kim, et al.Chemosphere|December 22, 2023
Optimizing coagulant dosage using deep learning models with large-scale dataJiwoong Kim, Chuanbo Hua, Kyoungpil Kim, et al.Pageof 11