Korean Laborers in Micronesia During world war Ⅱ

D. Colt Denfeld 한국학술연구원 1984 Korea Observer Vol.15 No.1

South Korea Memorializes the American Military Experience

Duane Colt DENFELD 한국학중앙연구원 한국학중앙연구원 2023 Korea Journal Vol.63 No.1

South Korea has become another nation in the global statue wars movement. This movement advocates the removal of statues honoring persons viewed as not deserving respect. In South Korea, activists have called for the removal of statues of Korean Japanese collaborators and that of General Douglas MacArthur. At the same time statues have gone up commemorating individuals and social actions for justice. Victims of injustice, to include those of an American military massacre, have been recognized. These transformative changes were made possible by democratization in the 1990s. The country’s previous authoritarian rule restricted the memorialization of the American military experience to a state-sanctioned narrative portraying America as savior. This article will demonstrate how memory sites and monuments from the authoritarian period reflected this narrative. They offered up a militaristic perspective of heroic battles and heroes, and expressed gratitude for humanitarian accomplishments. This is an accurate portrayal as the American military did demonstrate bravery, devotion to duty, and humanitarianism. However, the dark side to this remained hidden and its victims silenced. With the lifting of authoritarian control, preserved memory sites can now provide details to complete our understanding of the American military experience in South Korea.

Intensive land-based production of red and green macroalgae for human consumption in the Pacific Northwest: an evaluation of seasonal growth, yield, nutritional composition, and contaminant levels

Bradley A. Gadberry,John Colt,Desmond Maynard,Diane C. Boratyn,Ken Webb,Ronald B. Johnson,Gary W. Saunders,Richard H. Boyer 한국조류학회I 2018 ALGAE Vol.33 No.1

Turkish towel (Chondracanthus exasperatus), Pacific dulse (Palmaria mollis, also known as Red ribbon seaweed), and sea lettuce (Ulva spp.) were cultivated in a land-based intensive culture system at the Manchester Research Station, USA from August 2013 to September 2014. Macroalgae were grown in tumble-aerated tanks, harvested bimonthly for seasonal growth calculations, and analyzed for protein, lipid, ash, and amino acid content. Growth rate of all three species exhibited a similar pattern, with the highest specific growth rates occurring during the summer months (Turkish towel: 7.8%, Pacific dulse: 8.2%, and sea lettuce: 6.2%). Growth of all three species was lowest around winter solstice; with negative growth only observed in sea lettuce. On a dry weight basis significant differences in protein content existed between the three species with highest values for sea lettuce (29.5 ± 1.4%). Lipid content varied between species (0.95-2.78%) with significantly higher lipid observed in sea lettuce (0.58-4.82%). No significant differences were detected on a seasonal basis among each species. Essential amino acids accounted for 43 ± 0.9 to 47 ± 1.2% of total amino acids with Turkish towel having the highest value. Turkish towel had a significantly higher taurine level (0.82 ± 0.27) than the other macroalgae. The levels of persistent organic pollutants and heavy metals were low. The estimated annual product of the three species ranged from 50- to 70-mt dry weight ha-1 y-1, significantly higher than conventional crops. Land-based culture of these species can produce year-round harvest, consistent product quality, and low contaminant levels.

Agricultural pesticide use and risk of glioma in Nebraska, United States.

Lee, W J,Colt, J S,Heineman, E F,McComb, R,Weisenburger, D D,Lijinsky, W,Ward, M H BMJ Pub. Group 2005 Occupational and environmental medicine Vol.62 No.11

<P>BACKGROUND: To evaluate the risk of the adult glioma associated with farming and agricultural pesticide use, the authors conducted a population based case control study in eastern Nebraska. METHODS: Telephone interviews were conducted with men and women diagnosed with gliomas (n = 251) between 1988 and 1993 and controls (n = 498) randomly selected from the same geographical area. Unconditional logistic regression was used to calculate adjusted odds ratios (ORs) for farming and for use of individual and chemical classes of insecticides and herbicides, including pesticides classified as nitrosatable (able to form N-nitroso compounds upon reaction with nitrite). Non-farmers were used as the reference category for all analyses. RESULTS: Among men, ever living or working on a farm and duration of farming were associated with significantly increased risks of glioma (> or =55 years on a farm OR = 3.9, 95% CI 1.8 to 8.6); however, positive findings were limited to proxy respondents. Among women, there were no positive associations with farming activities among self or proxy respondents. Specific pesticide families and individual pesticides were associated with significantly increased risks among male farmers; however, most of the positive associations were limited to proxy respondents. For two herbicides and three insecticides, use was positively associated with risk among both self and proxy respondents. Based on a small number of exposed cases, ORs were significantly increased for the herbicides metribuzin (OR = 3.4, 95% CI 1.2 to 9.7) and paraquat (OR = 11.1, 95% CI 1.2 to 101), and for the insecticides bufencarb (OR = 18.9, 95% CI 1.9 to 187), chlorpyrifos (OR = 22.6, 95% CI 2.7 to 191), and coumaphos (OR = 5.9, 95% CI 1.1 to 32). CONCLUSION: The authors found significant associations between some specific agricultural pesticide exposures and the risk of glioma among male farmers but not among female farmers in Nebraska; however, most of the positive associations were limited to proxy respondents. These findings warrant further evaluation in prospective cohort studies where issues of recall bias are not a concern.</P>

Intensive land-based production of red and green macroalgae for human consumption in the Pacific Northwest: an evaluation of seasonal growth, yield, nutritional composition, and contaminant levels

Gadberry, Bradley A.,Colt, John,Maynard, Desmond,Boratyn, Diane C.,Webb, Ken,Johnson, Ronald B.,Saunders, Gary W.,Boyer, Richard H. The Korean Society of Phycology 2018 ALGAE Vol.33 No.1

Turkish towel (Chondracanthus exasperatus), Pacific dulse (Palmaria mollis, also known as Red ribbon seaweed), and sea lettuce (Ulva spp.) were cultivated in a land-based intensive culture system at the Manchester Research Station, USA from August 2013 to September 2014. Macroalgae were grown in tumble-aerated tanks, harvested bimonthly for seasonal growth calculations, and analyzed for protein, lipid, ash, and amino acid content. Growth rate of all three species exhibited a similar pattern, with the highest specific growth rates occurring during the summer months (Turkish towel: 7.8%, Pacific dulse: 8.2%, and sea lettuce: 6.2%). Growth of all three species was lowest around winter solstice; with negative growth only observed in sea lettuce. On a dry weight basis significant differences in protein content existed between the three species with highest values for sea lettuce ($29.5{\pm}1.4%$). Lipid content varied between species (0.95-2.78%) with significantly higher lipid observed in sea lettuce (0.58-4.82%). No significant differences were detected on a seasonal basis among each species. Essential amino acids accounted for $43{\pm}0.9$ to $47{\pm}1.2%$ of total amino acids with Turkish towel having the highest value. Turkish towel had a significantly higher taurine level ($0.82{\pm}0.27$) than the other macroalgae. The levels of persistent organic pollutants and heavy metals were low. The estimated annual product of the three species ranged from 50- to $70-mt\;dry\;weight\;ha^{-1}\;y^{-1}$, significantly higher than conventional crops. Land-based culture of these species can produce year-round harvest, consistent product quality, and low contaminant levels.

0199 Using machine learning to efficiently use multiple experts to assign occupational lead exposure estimates in a case-control study

Friesen, Melissa C,Locke, Sarah J,Zaebst, Dennis,Viet, Susan,Shortreed, Susan,Chen, Yu-Cheng,Koh, Dong-Hee,Pardo, Larissa,Schwartz, Kendra L,Davis, Faith G,Stewart, Patricia A,Colt, Joanne S,Purdue, M BMJ Publishing Group Ltd 2014 Occupational and environmental medicine Vol.71 No.suppl1

<P><B>Objectives</B></P><P>We applied machine learning approaches to efficiently assist multiple experts to transparently estimate occupational lead exposure in a case-control study of renal cell carcinoma.</P><P><B>Method</B></P><P>We used hierarchical cluster models to classify the 7154 study jobs with occupational history and job/industry questionnaires into 360 groups with similar responses. Each group was reviewed independently by two or three experts and was assigned probabilities of lead exposure (<5%, ≥5– <50%, ≥50%) for three time periods (<1980, 1980–1994, ≥1995). When the group’s mean response pattern suggested within-group exposure variability, experts identified programmable conditions that defined the rating differences where possible or flagged the group for further review. After splitting jobs that overlapped time periods at the calendar cut point, the 9992 job/time periods were assigned their relevant expert/group/time period estimate. Classification and regression tree (CART) models were developed to predict each expert’s expected assignment, based on previous decisions, to assign estimates for jobs in groups that expert had not assessed and for jobs requiring further review.</P><P><B>Results</B></P><P>In preliminary analyses, CART models predicted 91–96% of the experts’ pre-1995 estimates and 77–96% of ≥1995 estimates. CART estimates were assigned to 3–48% of the job/time periods, varying by expert. Overall, 92% of the job/time periods were assigned the same estimate by at least two experts.</P><P><B>Conclusions</B></P><P>Our framework reduced the number of exposure decisions needed from each expert compared to job-by-job assessment. Future work will use CART models to identify differences between experts to be resolved and incorporate frequency and intensity of lead exposure estimates.</P>