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Your search keyword '"Park, Seung Min"' showing total 221 results
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221 results on '"Park, Seung Min"'

5. Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

Author

Sanders, Lauren M., Yang, Jason H., Scott, Ryan T., Qutub, Amina Ann, Martin, Hector Garcia, Berrios, Daniel C., Hastings, Jaden J. A., Rask, Jon, Mackintosh, Graham, Hoarfrost, Adrienne L., Chalk, Stuart, Kalantari, John, Khezeli, Kia, Antonsen, Erik L., Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Delgado-Aparicio, Guillermo M., Glicksberg, Benjamin S., Greene, Casey S., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Mason, Christopher E., Matar, Mona, Mias, George I., Miller, Jack, Myers Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Park, Seung-min, Parsons-Wingerter, Patricia, Prabhu, R. K., Reynolds, Robert J., Saravia-Butler, Amanda, Saria, Suchi, Sawyer, Aenor, Singh, Nitin Kumar, Soboczenski, Frank, Snyder, Michael, Soman, Karthik, Theriot, Corey A., Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Zitnik, Marinka, and Costes, Sylvain V.

Subjects
Quantitative Biology - Other Quantitative Biology, Computer Science - Machine Learning
Abstract

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space., Comment: 28 pages, 4 figures

Published
2021

6. Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

Author

Scott, Ryan T., Antonsen, Erik L., Sanders, Lauren M., Hastings, Jaden J. A., Park, Seung-min, Mackintosh, Graham, Reynolds, Robert J., Hoarfrost, Adrienne L., Sawyer, Aenor, Greene, Casey S., Glicksberg, Benjamin S., Theriot, Corey A., Berrios, Daniel C., Miller, Jack, Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Chalk, Stuart, Delgado-Aparicio, Guillermo M., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Kalantari, John, Khezeli, Kia, Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Martin, Hector Garcia, Mason, Christopher E., Matar, Mona, Mias, George I., Myers, Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Parsons-Wingerter, Patricia, Prabhu, R. K., Qutub, Amina Ann, Rask, Jon, Saravia-Butler, Amanda, Saria, Suchi, Singh, Nitin Kumar, Soboczenski, Frank, Snyder, Michael, Soman, Karthik, Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Yang, Jason H., Zitnik, Marinka, and Costes, Sylvain V.

Subjects
Quantitative Biology - Other Quantitative Biology, Computer Science - Machine Learning
Abstract

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses; analyze and predict personalized adverse health outcomes; adapt and respond to newly accumulated data; and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space., Comment: 31 pages, 4 figures

Published
2021

8. Integrated proteogenomic characterization of glioblastoma evolution

Author

Kim, Kyung-Hee, Migliozzi, Simona, Koo, Harim, Hong, Jun-Hee, Park, Seung Min, Kim, Sooheon, Kwon, Hyung Joon, Ha, Seokjun, Garofano, Luciano, Oh, Young Taek, D'Angelo, Fulvio, Kim, Chan Il, Kim, Seongsoo, Lee, Ji Yoon, Kim, Jiwon, Hong, Jisoo, Jang, Eun-Hae, Mathon, Bertrand, Di Stefano, Anna-Luisa, Bielle, Franck, Laurenge, Alice, Nesvizhskii, Alexey I., Hur, Eun-Mi, Yin, Jinlong, Shi, Bingyang, Kim, Youngwook, Moon, Kyung-Sub, Kwon, Jeong Taik, Lee, Shin Heon, Lee, Seung Hoon, Gwak, Ho Shin, Lasorella, Anna, Yoo, Heon, Sanson, Marc, Sa, Jason K., Park, Chul-Kee, Nam, Do-Hyun, Iavarone, Antonio, and Park, Jong Bae

Published
2024
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10. Biomonitoring and precision health in deep space supported by artificial intelligence

Author

Scott, Ryan T., Sanders, Lauren M., Antonsen, Erik L., Hastings, Jaden J. A., Park, Seung-min, Mackintosh, Graham, Reynolds, Robert J., Hoarfrost, Adrienne L., Sawyer, Aenor, Greene, Casey S., Glicksberg, Benjamin S., Theriot, Corey A., Berrios, Daniel C., Miller, Jack, Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Chalk, Stuart, Delgado-Aparicio, Guillermo M., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Kalantari, John, Khezeli, Kia, Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Garcia Martin, Hector, Mason, Christopher E., Matar, Mona, Mias, George I., Myers, Jr, Jerry G., Nelson, Charlotte, Oribello, Jonathan, Parsons-Wingerter, Patricia, Prabhu, R. K., Qutub, Amina Ann, Rask, Jon, Saravia-Butler, Amanda, Saria, Suchi, Singh, Nitin Kumar, Snyder, Michael, Soboczenski, Frank, Soman, Karthik, Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Yang, Jason H., Zitnik, Marinka, and Costes, Sylvain V.

Published
2023
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11. Biological research and self-driving labs in deep space supported by artificial intelligence

Author

Sanders, Lauren M., Scott, Ryan T., Yang, Jason H., Qutub, Amina Ann, Garcia Martin, Hector, Berrios, Daniel C., Hastings, Jaden J. A., Rask, Jon, Mackintosh, Graham, Hoarfrost, Adrienne L., Chalk, Stuart, Kalantari, John, Khezeli, Kia, Antonsen, Erik L., Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Delgado-Aparicio, Guillermo M., Glicksberg, Benjamin S., Greene, Casey S., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Mason, Christopher E., Matar, Mona, Mias, George I., Miller, Jack, Myers, Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Park, Seung-min, Parsons-Wingerter, Patricia, Prabhu, R. K., Reynolds, Robert J., Saravia-Butler, Amanda, Saria, Suchi, Sawyer, Aenor, Singh, Nitin Kumar, Snyder, Michael, Soboczenski, Frank, Soman, Karthik, Theriot, Corey A., Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Zitnik, Marinka, and Costes, Sylvain V.

Published
2023
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19. Resting Site Selection and Microhabitat Use of an Asiatic Toad (Bufo gargarizans; Anura: Amphibia) in South Korea.

Author

Park, Seung-Min, Rahman, Md Mizanur, Park, Hye-Rin, Cheon, Seung-Ju, Kang, Hee-Jin, Park, Su-Wan, Ham, Choong-Ho, and Sung, Ha-Cheol

Abstract

By selecting appropriate microhabitats, animals gain various benefits. For amphibians, which are ectothermic, appropriate microhabitat selection is directly related to their survival. This study aims to characterize the microhabitat type selected by Bufo gargarizans in South Korea, which has not yet been examined, using radiotelemetry. We analyzed the percent cover of different microhabitat features at sites where B. gargarizans was found. The microhabitat was categorized into eight types: stacked dry leaves litter or hay, grass, naked field, stones/pebbles, fallen branches, alive or dead trees/shrubs, wetland, and other. We collected a total of 60 location data, all of which had closed cover. From these, nine hibernation sites and six post-breeding dormancy sites were identified. Dry leaf litter was found to be the most frequently selected microhabitat type. We also found significant differences in microhabitat type between the hibernation period and the post-breeding dormancy period. We considered that these differences can be explained by the ecological characteristics of B. gargarizans. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Effect of resuscitative endovascular balloon occlusion of the aorta in nontraumatic out-of-hospital cardiac arrest: a multinational, multicenter, randomized, controlled trial

Author

Kim, Hee Eun, primary, Chu, Sheng-En, additional, Jo, You Hwan, additional, Chiang, Wen-Chu, additional, Jang, Dong-Hyun, additional, Chang, Chin-Hao, additional, Oh, So Hee, additional, Chen, Hsuan-An, additional, Park, Seung Min, additional, Sun, Jen-Tang, additional, and Lee, Dong Keon, additional

Published
2024
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39. Fam20C Kinase as A Key Regulator of Bevacizumab Resistance in Mesenchymal Glioblastoma

Author

Kim, Chan Il, primary, Kim, Sooheon, additional, Park, Seong‐Min, additional, Kim, Sung Soo, additional, Kwon, Hyung Joon, additional, Lin, Weiwei, additional, Park, Saewhan, additional, Ha, Seokjun, additional, Ha, Kyung Hee, additional, Park, Sanha, additional, Park, Seung Min, additional, Kim, Tae Hoon, additional, Kim, Kyung‐Hee, additional, Kim, Yun‐Hee, additional, Kim, Jong Heon, additional, and Park, Jong Bae, additional

Published
2023
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40. The first record of leucism in the Rhabdophis tigrinus (Boie, 1826) (Squamata, Colubridae) in South Korea.

Author

Park, Seung‐Min, Cheon, Seung‐Ju, Park, Hye‐Rin, Kim, Na‐Yeong, Rahman, Md Mizanur, and Sung, Ha‐Cheol

Subjects
*COLUBRIDAE, *SQUAMATA, *NATURAL history, *REPTILE surveys, *ECDYSIS, *SUNTAN
Abstract

Leucism, in which pigmentation is lost over part or the entire body of an animal, has a range of possible genetic causes. Here, we report leucism in an individual tiger keelback (Rhabdophis tigrinus) found on Jeung Island, Shinan‐gun, Jeollanam‐do, South Korea, during a survey of the distribution of reptiles in the area. The individual was observed sunbathing in the bushes next to a pond. This individual exhibited ecdysis, thus it considered that have normal feeding activity. Our report represents the first observation of leucism in R. tigrinus, and thus, further analysis is needed of this phenotype to more clearly understand its impact on the species and its natural history. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Efficient Analysis of Small Molecules via Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (LDI–TOF MS) Using Gold Nanoshells with Nanogaps.

Author

Kim, Noori, Kim, Yoon-Hee, Jo, Gaon, Yoo, Jin, Park, Seung-min, Jun, Bong-Hyun, and Yeo, Woon-Seok

Subjects
TIME-of-flight mass spectrometry, MATRIX-assisted laser desorption-ionization, SMALL molecules, DESORPTION, HYBRID materials, GOLD nanoparticles, RAMAN scattering
Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS) is a commonly used technique for analyzing large biomolecules. However, the utilization of organic matrices limits the small-molecule analysis because of the interferences in the low-mass region and the reproducibility issues. To overcome these limitations, a surface-assisted laser desorption/ionization (SALDI), which utilizes nanostructured metallic surfaces, has been developed. Herein, a novel approach for SALDI–MS was proposed using silica@gold core–shell hybrid materials with a nanogap-rich shell (SiO2@Au NGS), which is an emerging material due to its excellent heat-generating capabilities. The gold shell thickness was controlled by adjusting the concentration of gold precursor for the growth of gold nanoparticles. SALDI-MS measurements were performed on a layer formed by drop-casting a mixture of SiO2@Au NGS and analytes. At the optimized process, the gold shell thickness was observed to be 17.2 nm, which showed the highest absorbance. Based on the enhanced SALDI capability, SiO2@Au NGS was utilized to detect various small molecules, including amino acids, sugars, and flavonoids, and the ionization softness was confirmed with a survival yield upon fragmentation. The limits of detection, reproducibility, and salt tolerance of SiO2@Au NGS demonstrate its potential as an effective and reliable SALDI material for small-molecule analyses. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Controllable Optical Features of Multiple‐Layered Axial Heterostructure Nanorods for Multicolor Polariton Nanolasers.

Author

Nam, Sangwon, Lee, SeungJe, Jeong, Seonghyun, Ko, Minji, Shim, Hyeong Seop, Hong, Eunha, Park, Seung Min, Do, Young Rag, and Song, Jae Kyu

Subjects
NANORODS, BAND gaps, INDIUM gallium nitride, OPTICAL devices, ENERGY bands
Abstract

The optical features of multiple‐layered axial heterostructures composed of III‐nitride semiconductors (GaN, InGaN, and AlGaN) are investigated to realize tunable nanolasers. The optical confinement effects develop exciton‐polariton in nanorods, leading to polariton lasing with distinctive dispersion. The lasing characteristics in the heterostructure are similar to those in the homostructure, although the carrier transfer between layers influences the optical gain. The energy‐dependent property of polariton changes the mode spacing of lasing peaks. The alloyed systems of InGaN can tune the color of lasing in the visible region, while the lasing of AlGaN is also achievable in the optimized configuration. The polarization of lasing indicates the predominant contribution of the fundamental transverse mode. Therefore, in the multiple‐layered heterostructure, controllable triple‐color lasing using the feature of polariton, modulation of band gap energy, and the amplification process of the waveguide is demonstrated for the first time, with the tunable color over a wide range of the visible region. Multicolor polariton nanolasers offer a promising path to diverse nanophotonic devices with controllable optical characteristics. [ABSTRACT FROM AUTHOR]

Published
2024
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