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| ○ | ○ | Article | Advanced Li metal anode by fluorinated metathesis on conjugated carbon networks | The Li metal anode has high theoretical specific capacity and low redox potential, making it suitable as an anode material for next-generation Li ion-based batteries (LIBs); however, challenges remain due to its unstable solid electrolyte interphase (SEI). In this study, we applied graphene-coated aramid attached to an uncoated aramid separator fabricated using a simple painting method to a Li metal anode to address the issues caused by the unstable SEI via fluorinated metathesis on a conjugated carbon network (CCN). The graphene-coated surface was partially fluorinated in a specific solvent environment, and as the Li+ ions were plated, the fluorinated surface induced formation of LiF as a chemically stable SEI component. Additionally, we demonstrated the successful application of fluorinated metathesis using other CCN materials, such as carbon black and activated carbon. The experimental results indicated that the CCN materials induced LiF via fluorination, and that the negative functionalities and lattice structure of the CCN materials affected the fluorination. These results demonstrated the effectiveness of this novel method for stabilizing a Li metal surface using a graphite pencil. | Gong, Yong Jun; Pyo, Seonmi; Kim, Hyunjin; Cho, Jinil; Yun, Heejun; Kim, Heebae; Ryu, Seokgyu; Yoo, Jeeyoung; Kim, Youn Sang | Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Program Nano Sci & Technol, Gwanak Ro 1, Seoul 08826, South Korea; Korea Res Inst Chem Technol, 141 Gajeong Ro, Daejon 34114, South Korea; Kyungpook Natl Univ, Dept Sch Energy Engn, Daehak Ro 80, Daegu 41566, South Korea; Seoul Natl Univ, Coll Engn, Sch Chem & Biol Engn, Gwanak Ro 1, Seoul 08824, South Korea; Adv Inst Convergence Technol, 145 Gwanggyo Ro, Suwon 16229, South Korea | ; Cho, Hyuk/AAU-7753-2020; Yoo, Jeeyoung/AAH-1359-2019; Kim, SoW/ABB-7917-2021 | 57203432769; 57211858131; 59564809200; 57209801309; 57218197755; 57217054648; 57192435552; 56046607500; 8938854200 | jyoo@knu.ac.kr;younskim@snu.ac.kr; | ENERGY & ENVIRONMENTAL SCIENCE | ENERG ENVIRON SCI | 1754-5692 | 1754-5706 | 14 | 2 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENERGY & FUELS;ENGINEERING, CHEMICAL;ENVIRONMENTAL SCIENCES | 2021 | 39.714 | 0.2 | 1.24 | 2025-07-30 | 28 | 25 | REDUCED GRAPHENE OXIDE; LITHIUM-METAL; DENDRITE-FREE; HIGH-ENERGY; POLYMER ELECTROLYTE; CURRENT-DENSITY; HIGH-CAPACITY; ION BATTERY; DEPOSITION; COMPOSITE | Anodes; Carbon black; Fluorination; Graphene; Halogenation; Lithium; Lithium-ion batteries; Redox reactions; Solid electrolytes; Solid-State Batteries; Fluorinated surface; Lattice structures; Painting methods; Partially fluorinated; Redox potentials; Solid electrolyte interphase; Solvent environments; Specific capacities; activated carbon; black carbon; detection method; electrode; electrolyte; equipment; experimental study; graphite; redox potential; Lithium compounds | English | 2021 | 2021-02-01 | 10.1039/d0ee02827d | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Federated learning for predicting clinical outcomes in patients with COVID-19 | Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing many barriers to data sharing. Here we used data from 20 institutes across the globe to train a FL model, called EXAM (electronic medical record (EMR) chest X-ray AI model), that predicts the future oxygen requirements of symptomatic patients with COVID-19 using inputs of vital signs, laboratory data and chest X-rays. EXAM achieved an average area under the curve (AUC) >0.92 for predicting outcomes at 24 and 72 h from the time of initial presentation to the emergency room, and it provided 16% improvement in average AUC measured across all participating sites and an average increase in generalizability of 38% when compared with models trained at a single site using that site's data. For prediction of mechanical ventilation treatment or death at 24 h at the largest independent test site, EXAM achieved a sensitivity of 0.950 and specificity of 0.882. In this study, FL facilitated rapid data science collaboration without data exchange and generated a model that generalized across heterogeneous, unharmonized datasets for prediction of clinical outcomes in patients with COVID-19, setting the stage for the broader use of FL in healthcare. Federated learning, a method for training artificial intelligence algorithms that protects data privacy, was used to predict future oxygen requirements of symptomatic patients with COVID-19 using data from 20 different institutes across the globe. | Dayan, Ittai; Roth, Holger R.; Zhong, Aoxiao; Harouni, Ahmed; Gentili, Amilcare; Abidin, Anas Z.; Liu, Andrew; Costa, Anthony Beardsworth; Wood, Bradford J.; Tsai, Chien-Sung; Wang, Chih-Hung; Hsu, Chun-Nan; Lee, C. K.; Ruan, Peiying; Xu, Daguang; Wu, Dufan; Huang, Eddie; Kitamura, Felipe Campos; Lacey, Griffin; de Antonio Corradi, Gustavo Cesar; Nino, Gustavo; Shin, Hao-Hsin; Obinata, Hirofumi; Ren, Hui; Crane, Jason C.; Tetreault, Jesse; Guan, Jiahui; Garrett, John W.; Kaggie, Joshua D.; Park, Jung Gil; Dreyer, Keith; Juluru, Krishna; Kersten, Kristopher; Rockenbach, Marcio Aloisio Bezerra Cavalcanti; Linguraru, Marius George; Haider, Masoom A.; AbdelMaseeh, Meena; Rieke, Nicola; Damasceno, Pablo F.; Silva, Pedro Mario Cruz E.; Wang, Pochuan; Xu, Sheng; Kawano, Shuichi; Sriswasdi, Sira; Park, Soo Young; Grist, Thomas M.; Buch, Varun; Jantarabenjakul, Watsamon; Wang, Weichung; Tak, Won Young; Li, Xiang; Lin, Xihong; Kwon, Young Joon; Quraini, Abood; Feng, Andrew; Priest, Andrew N.; Turkbey, Baris; Glicksberg, Benjamin; Bizzo, Bernardo; Kim, Byung Seok; Tor-Diez, Carlos; Lee, Chia-Cheng; Hsu, Chia-Jung; Lin, Chin; Lai, Chiu-Ling; Hess, Christopher P.; Compas, Colin; Bhatia, Deepeksha; Oermann, Eric K.; Leibovitz, Evan; Sasaki, Hisashi; Mori, Hitoshi; Yang, Isaac; Sohn, Jae Ho; Murthy, Krishna Nand Keshava; Fu, Li-Chen; Furtado de Mendonca, Matheus Ribeiro; Fralick, Mike; Kang, Min Kyu; Adil, Mohammad; Gangai, Natalie; Vateekul, Peerapon; Elnajjar, Pierre; Hickman, Sarah; Majumdar, Sharmila; McLeod, Shelley L.; Reed, Sheridan; Graf, Stefan; Harmon, Stephanie; Kodama, Tatsuya; Puthanakit, Thanyawee; Mazzulli, Tony; de Lavor, Vitor Lima; Rakvongthai, Yothin; Lee, Yu Rim; Wen, Yuhong; Gilbert, Fiona J.; Flores, Mona G.; Li, Quanzheng | MGH Radiol, Boston, MA USA; Harvard Med Sch, Boston, MA 02115 USA; NVIDIA, Santa Clara, CA 95051 USA; Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, Ctr Adv Med Comp & Anal, Boston, MA 02115 USA; Harvard Univ, Sch Engn & Appl Sci, Boston, MA 02115 USA; San Diego VA Hlth Care Syst, San Diego, CA USA; Icahn Sch Med Mt Sinai, Dept Neurosurg, New York, NY 10029 USA; NIH, Radiol & Imaging Sci Clin Ctr, Bldg 10, Bethesda, MD 20892 USA; NCI, NIH, Bethesda, MD 20892 USA; Triserv Gen Hosp, Natl Def Med Ctr, Dept Surg, Div Cardiovasc Surg, Taipei, Taiwan; Triserv Gen Hosp, Natl Def Med Ctr, Dept Otolaryngol Head & Neck Surg, Taipei, Taiwan; Natl Def Med Ctr, Grad Inst Med Sci, Taipei, Taiwan; Univ Calif San Diego, Ctr Res Biol Syst, San Diego, CA 92103 USA; DasaInova, Diagnost Amer SA, Barueri, Brazil; Childrens Natl Hosp, Div Pediat Pulm & Sleep Med, Washington, DC USA; Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA; Self Def Forces Cent Hosp, Tokyo, Japan; Univ Calif San Francisco, Ctr Intelligent Imaging, Dept Radiol & Biomed Imaging, San Francisco, CA 94143 USA; Univ Wisconsin, Dept Radiol, Sch Med & Publ Hlth, Madison, WI 53706 USA; Univ Wisconsin, Dept Med Phys, Sch Med & Publ Hlth, 1530 Med Sci Ctr, Madison, WI 53706 USA; Univ Cambridge, NIHR Cambridge Biomed Resource Ctr, Dept Radiol, Cambridge, England; Yeungnam Univ, Dept Internal Med, Coll Med, Daegu, South Korea; Massachusetts Gen Brigham, Ctr Clin Data Sci, Boston, MA USA; Childrens Natl Hosp, Sheikh Zayed Inst Pediat Surg Innovat, Washington, DC USA; George Washington Univ, Dept Radiol, Sch Med & Hlth Sci, Washington, DC USA; Univ Toronto, Joint Dept Med Imaging, Sinai Hlth Syst, Toronto, ON, Canada; Lunenfeld Tanenbaum Res Inst, Toronto, ON, Canada; Natl Taiwan Univ, MeDA Lab Inst Appl Math Sci, Taipei, Taiwan; Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan; Chulalongkorn Univ, Fac Med, Res Affairs, Bangkok, Thailand; Chulalongkorn Univ, Fac Med, Ctr Artificial Intelligence Med, Bangkok, Thailand; Kyungpook Natl Univ, Sch Med, Dept Internal Med, Daegu, South Korea; Univ Wisconsin, Dept Biomed Engn, Sch Med & Publ Hlth, Madison, WI USA; Chulalongkorn Univ, Fac Med, Dept Pediat, Bangkok, Thailand; King Chulalongkorn Mem Hosp, Thai Red Cross Emerging Infect Dis Clin Ctr, Bangkok, Thailand; Harvard Univ, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA; Cambridge Univ Hosp, NIHR Cambridge Biomed Resource Ctr, Dept Radiol, Cambridge, England; NIH, Dept Radiol & Imaging Sci, Bldg 10, Bethesda, MD 20892 USA; Icahn Sch Med Mt Sinai, Hass Plattner Inst Digital Hlth Mt Sinai, New York, NY 10029 USA; Icahn Sch Med Mt Sinai, Dept Genet & Genom Sci, New York, NY 10029 USA; Catholic Univ Daegu, Dept Internal Med, Sch Med, Daegu, South Korea; Triserv Gen Hosp, Natl Def Med Ctr, Planning & Management Off, Taipei, Taiwan; Natl Def Med Ctr, Sch Med, Taipei, Taiwan; Natl Def Med Ctr, Sch Publ Hlth, Taipei, Taiwan; Natl Def Med Ctr, Grad Inst Life Sci, Taipei, Taiwan; Natl Hlth Insurance Adm, Med Review & Pharmaceut Benefits Div, Taipei, Taiwan; NYU Grossman Sch Med, Dept Neurosurg, New York, NY USA; Natl Taiwan Univ, MOST NTU All Vista Healthcare Ctr, Ctr Artificial Intelligence & Adv Robot, Taipei, Taiwan; Sinai Hlth Syst, Div Gen Internal Med & Geriatr Fralick, Toronto, ON, Canada; Chulalongkorn Univ, Fac Engn, Dept Comp Engn, Bangkok, Thailand; Sinai Hlth, Schwartz Reisman Emergency Med Inst, Toronto, ON, Canada; Univ Toronto, Dept Family & Community Med, Toronto, ON, Canada; Univ Cambridge, NIHR Cambridge Biomed Res Ctr, Dept Med, Cambridge, England; Univ Cambridge, NIHR Cambridge Biomed Res Ctr, NIHR BioResource Translat Res, Cambridge, England; NCI, Clin Res Directorate, Frederick Natl Lab Canc, Frederick, MD 21701 USA; Univ Hlth Network, Dept Microbiol, Sinai Hlth, Toronto, ON, Canada; Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, Canada; Publ Hlth Ontario Labs, Toronto, ON, Canada; Chulalongkorn Univ, Biomed Imaging Grp, Fac Med, Bangkok, Thailand; Chulalongkorn Univ, Fac Med, Dept Radiol, Div Nucl Med, Bangkok, Thailand | ; Park, Jung/AAK-5167-2020; Vateekul, Peerapon/AAW-6065-2021; Costa, Anthony/C-5471-2009; Gentili, Amilcare/ABB-2479-2020; Wu, Dufan/AFZ-1956-2022; McLeod, Shelley/AAE-9636-2019; Garrett, John/I-2402-2019; Wang, Chih-Hung/AAR-9766-2020; Kitamura, Felipe/AAC-7075-2021; Li, Xiang/J-6924-2019; Kaggie, Joshua/AAH-5762-2021; Glicksberg, Benjamin/I-9500-2019; Kim, Sang/J-5398-2012; Bezerra Cavalcanti Rockenbach, Marcio Aloisio/AAZ-3329-2020; Bizzo, Bernardo/AAF-1702-2019; Wang, Pochuan/ISV-1516-2023; Wood, Bradford/M-7995-2017; Abidin, Anas/L-6428-2019; Hickman, Sarah/KBR-2557-2024; Xu, Sheng/JPL-4337-2023; Oermann, Eric/AAD-9729-2020; Lin, Chin/IZP-8020-2023; Rockenbach, Marcio/AAZ-3329-2020 | 57219308459; 36622444300; 57216519277; 57202162986; 7006077817; 56800380800; 58603246600; 23484900800; 7401873523; 7404967362; 56384964300; 22933960800; 35194264300; 36739963900; 57191707223; 55286668100; 57249848800; 57205527813; 56888576500; 57263958000; 24765204300; 57263958100; 57217249571; 57214672137; 8429088700; 57219319104; 59817882900; 7201538646; 37039482400; 57216816399; 7006172475; 6507012936; 57263781900; 36941746900; 35588324900; 7103399335; 43060948000; 56596764700; 26435127300; 57262696200; 57219312662; 35868251000; 55768704400; 23768620600; 57191674344; 7006561320; 57200946317; 56649331800; 24167346500; 7004074582; 27168120000; 57208459179; 56133582800; 57262696300; 57212008067; 7003374958; 9435311800; 55845627200; 37050694500; 55974276800; 57204032876; 56100957300; 57197794108; 56153205400; 57263958200; 35315887900; 39862720700; 57263411100; 23973230500; 57219318303; 59102837400; 57202255002; 57262696400; 56985237800; 57221412774; 7401812723; 57238226000; 19638437300; 59142854300; 57263230900; 57207937931; 24829867400; 57194604966; 57207815540; 55908343900; 57211840144; 57263049100; 7004619635; 57191581147; 57200331758; 8071686900; 7004577918; 57262873900; 24830881200; 57194094753; 57219311956; 7101783384; 57218528816; 7405862484 | mflores@nvidia.com; | NATURE MEDICINE | NAT MED | 1078-8956 | 1546-170X | 27 | 10 | SCIE | BIOCHEMISTRY & MOLECULAR BIOLOGY;CELL BIOLOGY;MEDICINE, RESEARCH & EXPERIMENTAL | 2021 | 87.244 | 0.2 | 19.74 | 2025-07-30 | 405 | 485 | PRIVACY; CHALLENGES; MODELS | COVID-19; Electronic Health Records; Humans; Machine Learning; Outcome Assessment, Health Care; Prognosis; SARS-CoV-2; C reactive protein; oxygen; adult; Article; artificial ventilation; clinical outcome; cohort analysis; comparative study; controlled study; coronavirus disease 2019; electronic medical record; emergency ward; female; health care system; human; male; oxygen consumption; oxygen therapy; prediction; sensitivity and specificity; thorax radiography; electronic health record; isolation and purification; machine learning; pathophysiology; prognosis; therapy; virology | English | 2021 | 2021-10 | 10.1038/s41591-021-01506-3 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Safety, tolerability and antiviral activity of the antisense oligonucleotide bepirovirsen in patients with chronic hepatitis B: a phase 2 randomized controlled trial | Chronic infection with hepatitis B virus (HBV) leads to an increased risk of death from cirrhosis and hepatocellular carcinoma. Functional cure rates are low with current treatment options (nucleos(t)ide analogs (NAs) and pegylated interferons). Bepirovirsen is an antisense oligonucleotide targeting all HBV messenger RNAs; in cell culture and animal models, bepirovirsen leads to reductions in HBV-derived RNAs, HBV DNA and viral proteins. This phase 2 double-blinded, randomized, placebo-controlled trial is the first evaluation of the safety and activity of an antisense oligonucleotide targeting HBV RNA in both treatment-naive and virally suppressed individuals with chronic HBV infection. The primary objective was to assess the safety and tolerability of bepirovirsen in individuals with chronic hepatitis B (CHB) (NCT02981602). The secondary objective was to assess antiviral activity, including the change from baseline to day 29 in serum hepatitis B surface antigen (HBsAg) concentration. Participants with CHB infection >= 6 months and serum HBsAg >= 50 IU ml(-1) were enrolled from seven centers across Hong Kong and the Republic of Korea and randomized (3:1 within each dose cohort) to receive bepirovirsen or placebo via subcutaneous injection twice weekly during weeks 1 and 2 (days 1, 4, 8 and 11) and once weekly during weeks 3 and 4 (days 15 and 22). Participants were then followed for 26 weeks. Twenty-four participants were treatment-naive and seven were receiving stable NA therapy. Treatment-emergent adverse events were mostly mild/moderate (most commonly injection site reactions). Eleven (61.1%) and three (50.0%) treatment-naive participants experienced one or more treatment-emergent adverse event in the bepirovirsen and placebo groups, respectively. In participants receiving NA therapy, the corresponding numbers were three (60.0%) and one (50.0%). Transient, self-resolving alanine aminotransferase flares (>= 2x upper limit of normal) were observed in eight treatment-naive participants and three participants on stable NA regimens in the bepirovirsen treatment arms. HBsAg reductions were observed and were significant versus placebo for treatment-naive participants receiving bepirovirsen 300 mg (P = 0.001), but not for the bepirovirsen 150 mg group (P = 0.245) or participants receiving stable NA therapy (P = 0.762). Two participants in each of the 300 mg dose groups achieved HBsAg levels below the lower limit of quantitation by day 29 (n = 3) or day 36 (n = 1). Bepirovirsen had a favorable safety profile. These preliminary observations warrant further investigation of the safety and activity of bepirovirsen in a larger CHB patient population. A first-in-human study of an antisense oligonucleotide targeting hepatitis B virus (HBV) RNA provides initial insights into this potential new therapeutic modality for individuals with chronic HBV infection. | Yuen, Man-Fung; Heo, Jeong; Jang, Jeong-Won; Yoon, Jung-Hwan; Kweon, Young-Oh; Park, Sung-Jae; Tami, Yvonne; You, Shihyun; Yates, Phillip; Tao, Yu; Cremer, Jennifer; Campbell, Fiona; Elston, Robert; Theodore, Dickens; Paff, Melanie; Bennett, C. Frank; Kwoh, T. Jesse | Univ Hong Kong, Queen Mary Hosp, Dept Med, Hong Kong, Peoples R China; Univ Hong Kong, Queen Mary Hosp, State Key Lab Liver Res, Hong Kong, Peoples R China; Pusan Natl Univ, Coll Med, Busan, South Korea; Pusan Natl Univ Hosp, Biomed Res Inst, Busan, South Korea; Catholic Univ Korea, Seoul St Marys Hosp, Seoul, South Korea; Seoul Natl Univ Hosp, Seoul, South Korea; Kyungpook Natl Univ Hosp, Daegu, South Korea; Inje Univ, Busan Paik Hosp, Busan, South Korea; Ionis Pharmaceut Inc, Carlsbad, CA USA; GlaxoSmithKline, Collegeville, PA USA; GlaxoSmithKline, Stevenage, Herts, England; GlaxoSmithKline, Res Triangle Pk, NC USA | Lee, Jeong-Hoon/Q-1055-2018; Campbell, Fiona/MYR-3405-2025; Tao, Yu/F-7296-2017; Jang, Jeong/LOS-2890-2024; Heo, Jeong/MHQ-1390-2025; Yuen, Richard Man Fung/C-4466-2009 | 7102031955; 8422238800; 7402965009; 16246591600; 7004694832; 24176295000; 57224464057; 7201516862; 56368831000; 57217331890; 57207829003; 57202653806; 57213448760; 6603830046; 6603210358; 55665460000; 57190493736 | mfyuen@hkucc.hku.hk; | NATURE MEDICINE | NAT MED | 1078-8956 | 1546-170X | 27 | 10 | SCIE | BIOCHEMISTRY & MOLECULAR BIOLOGY;CELL BIOLOGY;MEDICINE, RESEARCH & EXPERIMENTAL | 2021 | 87.244 | 0.2 | 4.29 | 2025-07-30 | 120 | 111 | HBSAG SEROCLEARANCE; NONHUMAN-PRIMATES; SURFACE-ANTIGEN; REDUCTION; INHIBIT; MONKEYS; DNA | Adolescent; Adult; Antiviral Agents; Drug Therapy, Combination; Female; Hepatitis B Surface Antigens; Hepatitis B virus; Hepatitis B, Chronic; Humans; Male; Middle Aged; Oligonucleotides, Antisense; Placebos; Polyethylene Glycols; Republic of Korea; Young Adult; alanine aminotransferase; bepirovirsen; hepatitis B surface antibody; hepatitis B surface antigen; hepatitis B(e) antibody; placebo; viral protein; virus RNA; antisense oligonucleotide; antivirus agent; hepatitis B surface antigen; macrogol; adult; adverse event; alanine aminotransferase blood level; antiviral activity; Article; chronic hepatitis B; clinical article; clinical trial; cohort analysis; controlled study; double blind procedure; drug dose increase; drug safety; drug tolerability; female; Hepatitis B virus; Hong Kong; human; human cell; injection site reaction; limit of quantitation; male; phase 2 clinical trial; randomized controlled trial; seroconversion; South Korea; adolescent; blood; chemistry; chronic hepatitis B; combination drug therapy; drug effect; epidemiology; genetics; middle aged; pathogenicity; virology; young adult | English | 2021 | 2021-10 | 10.1038/s41591-021-01513-4 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Understanding synergistic metal-oxide interactions of in situ exsolved metal nanoparticles on a pyrochlore oxide support for enhanced water splitting | Hybrid catalysts consisting of metal nanoparticles on a metal oxide support have emerged as a new class of catalysts that can improve various electrocatalytic reactions, but the origin of the improved performance is still unclear. Here we demonstrate that rationally designed hybrid catalysts through the in situ exsolution process of metallic nanoparticles on a B-site Ni-substituted lead ruthenate pyrochlore oxide improve both oxygen evolution reaction and hydrogen evolution reaction activity. A combination of operando X-ray absorption spectroscopy measurements and density functional theory calculations reveals that the generated oxygen and cation vacancies in the pyrochlore oxide support during the in situ exsolution process can decrease the charge-transfer energy, thereby facilitating charge transfer between exsolved metal nanoparticles-oxide support as well as hybrid catalyst-electrolyte. These findings establish a structure-property relationship of complicated hybrid catalysts for efficient water splitting, suggesting a new strategy in designing various hybrid catalysts for other electrochemical reactions. | Kim, Myeongjin; Park, Jinho; Ju, Hyun; Kim, Jin Young; Cho, Hyun-Seok; Kim, Chang-Hee; Kim, Byung-Hyun; Lee, Seung Woo | Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, 80 Daehakro, Daegu 41566, South Korea; Georgia Inst Technol, GW Woodruff Sch Mech Engn, Atlanta, GA 30332 USA; Georgia Inst Technol, Georgia Tech Res Inst, Aerosp Transportat & Adv Syst Lab, Atlanta, GA 30332 USA; Korea Inst Sci & Technol KIST, Fuel Cell Res Ctr, Hwarang Ro 14 Gil 5, Seoul 02792, South Korea; Korea Inst Energy Res, Hydrogen Res Dept, 152 Gajeong Ro, Daejeon 34129, South Korea; Korea Inst Energy Res, Platform Technol Lab, 152 Gajeong Ro, Daejeon 34129, South Korea | Cho, Hyun-Seok/HGA-2151-2022; Kim, Joo Hyun/C-6604-2019; Lee, Seung/B-5820-2013; Cho, Hyun-Seok/HDN-9023-2022; Kim, Byung-Hyun/N-1584-2016; Kim, Byung-Hyun/HGB-5885-2022; Park, Jinho/AAR-9508-2021 | 55541419000; 56982072800; 56438791400; 57217845971; 55361164400; 7409873545; 55502655900; 56449665800 | myeongjinkim@knu.ac.kr;bhkim@kier.re.kr;seung.lee@me.gatech.edu; | ENERGY & ENVIRONMENTAL SCIENCE | ENERG ENVIRON SCI | 1754-5692 | 1754-5706 | 14 | 5 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;ENERGY & FUELS;ENGINEERING, CHEMICAL;ENVIRONMENTAL SCIENCES | 2021 | 39.714 | 0.2 | 2.9 | 2025-07-30 | 56 | 58 | OXYGEN EVOLUTION REACTION; ELECTROCATALYSTS; CATALYSTS; EFFICIENT; CARBON; TRENDS; NANOCRYSTALS; DISSOLUTION; EXSOLUTION | Catalysts; Charge transfer; Density functional theory; Electrocatalysis; Electrolytes; Hydrogen evolution reaction; Lead oxide; Metals; Oxygen; Oxygen evolution reaction; X ray absorption spectroscopy; Charge transfer energy; Electrocatalytic reactions; Electrochemical reactions; Hydrogen evolution reaction activities; Lead-ruthenate pyrochlore; Metal-oxide interactions; Metallic nanoparticles; Structure property relationships; catalysis; catalyst; chemical reaction; detection method; electrolyte; heavy metal; in situ measurement; metal; nanoparticle; perforation; performance assessment; polymer; Metal nanoparticles | English | 2021 | 2021-05-01 | 10.1039/d0ee02935a | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Automated noise exposure assessment model for the health of construction workers | Although construction noise negatively affects both residents near construction sites and on-site workers, the health issues of construction workers exposed to high noise for a long time are often considered less important than those of residents who file civil complaints. Accordingly, this study developed an automated noise exposure assessment model to enhance the health of construction workers. Therefore, a model was developed to predict the noise level in real time, considering the equipment and work types at construction sites, and to automatically assess the noise exposure of the workers in the short and long terms. A case study conducted showed that conventional regulation standards should be strengthened to have an impact on the health of construction workers. The developed model can help construction companies manage construction noise and protect construction workers from excessive noise by providing scientific evidence of noise exposure to policymakers committed to guaranteeing the health of workers. | Choi, Jinwoo; Kang, Hyuna; Hong, Taehoon; Baek, Hoyoung; Lee, Dong-Eun | Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Engn Environm & Energy, Daegu, South Korea | ; Hong, Taehoon/E-9169-2012 | 57216361641; 57188750703; 57969349700; 57222274047; 56605563300 | jinwoo818@yonsei.ac.kr;hyuna_kang@yonsei.ac.kr;hong7@yonsei.ac.kr;s551@yonsei.ac.kr;dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 126 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 1.4 | 2025-07-30 | 21 | 25 | Construction noise; Worker health impact; Automated noise exposure assessment; Daily noise dose; Disability-adjusted life year (DALY) | SITE LAYOUT; PERFORMANCE; POLLUTION; IMPACT; FRAMEWORK | Automated noise exposure assessment; Construction noise; Daily noise dose; Disability-adjusted life year (DALY); Worker health impact | Automation; Construction; Construction equipment; Construction industry; Noise pollution; Automated noise exposure assessment; Construction noise; Construction sites; Construction workers; Daily noise dose; Disability-adjusted life year; Exposure assessment models; Noise exposure; Worker health impact; Health | English | 2021 | 2021-06 | 10.1016/j.autcon.2021.103657 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Automated rebar diameter classification using point cloud data based machine learning | Inspecting the diameter and spacing of rebar is an important task conducted by fabricators and site engineers during the manufacturing and construction stages. This is because the bearing capacity of reinforced concrete structures is affected by the size and position of the rebar, so installing rebar of the correct size and position should be ensured to safeguard the structural integrity of the structure. This study presents a new terrestrial laser scanning (TLS)-based method using machine learning to automatically classify rebar diameters and accurately estimate rebar spacing. To this end, a new methodology, named density based machine model, is proposed to improve classification accuracy. To validate the proposed method, experimental tests on laboratory specimens with rebars of seven different diameters are conducted. The results show that the prediction accuracy for large rebar diameters measuring D25-D40 are up to 97.2%, demonstrating great potential for the application of the proposed technique on manufacturing and construction sites. The key findings of the study are: (1) the proposed density-based modeling method for rebar diameter prediction is superior to the traditional machine learning approach; (2) scan density is one of the most important factors in the prediction results, especially in the small rebar diameter group; and (3) it was found that at least 10 points/cm(2) is necessary to ensure accurate rebar diameter classification in small rebar diameters between D10-D20. It is expected that the proposed rebar diameter and rebar spacing technique will be useful in providing autonomous and accurate rebar inspection in manufacturing factories and on construction sites. | Kim, Min-Koo; Thedja, Julian Pratama Putra; Chi, Hung-Lin; Lee, Dong-Eun | Chungbuk Natl Univ, Dept Architectural Engn, Coll Engn, Cheongju, South Korea; Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hung Hom, Kowloon, Hong Kong, Peoples R China; Kyungpook Natl Univ, Sch Architecture & Civil Engn, Daegu, South Korea | ; Chi, Hung-Lin/ABF-3055-2020 | 57219442864; 57189219306; 35096047900; 56605563300 | dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 122 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 3.01 | 2025-07-30 | 50 | 55 | Rebar diameter; Classification; Machine learning; Point cloud data; Laser scanning | QUALITY ASSESSMENT; LASER | Classification; Laser scanning; Machine learning; Point cloud data; Rebar diameter | Classification (of information); Concrete construction; Forecasting; Machine learning; Manufacture; Rebar; Surveying instruments; Classification accuracy; Construction sites; Construction stages; Density-based model; Machine learning approaches; Manufacturing factories; Prediction accuracy; Terrestrial laser scanning; Reinforced concrete | English | 2021 | 2021-02 | 10.1016/j.autcon.2020.103476 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Development of a prediction model for the proportion of buildings exposed to construction noise in excess of the construction noise regulation at urban construction sites | Noise in construction projects, one of the major problems at urban construction sites, should be evaluated and managed according to the construction noise regulation. This study developed a prediction model for proportion of buildings exposed to noise in excess of the construction noise regulation (the overexposed building ratio) as the evaluation index, to effectively manage construction noise using elastic net linear regression and polynomial interpolation. Through the conducted case study, the developed prediction model showed better prediction performance (a 35.5% average increase) than the general model. The developed prediction model was applicable to construction sites with no database and was able to predict not only the overexposed building ratio but also the number of dwellers exposed to such noise level. The prediction model can encourage construction companies and dwellers to actively participate in the management of construction noise and can provide acoustic comfort to communities. | Hong, Juwon; Kang, Hyuna; Hong, Taehoon; Park, Hyo Seon; Lee, Dong-Eun | Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Engn Environm & Energy, Daegu, South Korea | ; Hong, Taehoon/E-9169-2012 | 57205334533; 57188750703; 57969349700; 55669886900; 56605563300 | juwonae@yonsei.ac.kr;hyuna_kang@yonsei.ac.kr;hong7@yonsei.ac.kr;hspark@yonsei.ac.kr;dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 125 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 1.14 | 2025-07-30 | 18 | 19 | Construction noise; Noise regulation; Prediction model; Elastic net linear regression; Overexposed building ratio | ENERGY-CONSUMPTION; IMPACT ASSESSMENT; EMISSIONS | Construction noise; Elastic net linear regression; Noise regulation; Overexposed building ratio; Prediction model | Acoustic noise; Buildings; Construction industry; Forecasting; Urban growth; Construction noise; Construction projects; Construction sites; Elastic net linear regression; Evaluation index; Exposed to; Noise regulations; Overexposed building ratio; Prediction model; Urban construction; Construction | English | 2021 | 2021-05 | 10.1016/j.autcon.2021.103656 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Development of formwork automation design software for improving construction productivity | This study developed a formwork automation design software that interprets 3D building information modeling (BIM) data from the 2D CAD data of a target structure. This software aimed to identify the quantity and types of formworks and situations that may occur at construction sites. A prototype that can implement 3D automation design, automatic formwork layout, and statistics function was developed for simple target structures; this confirmed the possibility of developing the software, for which a preliminary study was conducted to convert random vertices in the BIM data of the target structure to forms with certain rules. The meshes were transformed into a constant form using an algorithm that fills a 3D model with identical square meshes. Additionally, an algorithm was developed by setting and prioritizing specific rules for the faces. The software operation result confirmed the possibility of automatic formwork layout of wall and deck members. | Lee, Bokyeong; Choi, Hyeonggil; Min, Byongwang; Ryu, Jungrim; Lee, Dong-Eun | Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy, Daegu 41566, South Korea; Mn nH Inc, Seoul 04793, South Korea; FMworks Inc, Daegu 41542, South Korea | 57075263600; 56430165800; 57220924577; 56712252100; 56605563300 | hgchoi@knu.ac.kr;dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 126 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 1.2 | 2025-07-30 | 14 | 18 | Formwork; Automation design software; De-mesh; Algorithm; Formwork layout | PLANNING-MODEL; LAYOUT; SAFETY; SYSTEM | Algorithm; Automation design software; De-mesh; Formwork; Formwork layout | 3D modeling; Architectural design; Automation; Software design; Automation design; Automation design software; Building Information Modelling; Construction productivity; De-mesh; Design softwares; Formwork; Formwork layout; Model data; Target structure; Computer aided design | English | 2021 | 2021-06 | 10.1016/j.autcon.2021.103680 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Field measurements for identification of modal parameters for high-rise buildings under construction or in use | The enhanced frequency domain decomposition (EFDD) method can yield different results with respect to modal parameters depending on the measurement and analysis conditions of the target building. Consequently, field measurement guidelines for EFDD are required. In this paper, a practical field measurement technique is proposed for the identification of modal parameters of high-rise buildings in use or under construction. Based on the modal analysis of the numerical analysis model and structural response from two high-rise buildings, the criterion for the lower bound and upper bound of the three measurement and analysis conditions from the modal analysis process were suggested as the minimum conditions for an enhanced frequency domain decomposition (MCEFDD) method. It was verified with structural responses from a 35-story building that the proposed MCEFDD method yields reliable model parameter results. The proposed MCEFDD method can be used for practical measurements of responses high-rise buildings in field. | Yun, Da Yo; Kim, Doyoung; Kim, Minsun; Bae, Sang Geun; Choi, Jae Woo; Shim, Hak Bo; Hong, Taehoon; Lee, Dong-Eun; Park, Hyo Seon | Yonsei Univ, Dept Architectural Engn, Seoul 03722, South Korea; 1 Struct Engn Grp Co LTD, Seoul 05836, South Korea; Hanyang Univ, Dept Civil & Environm Engn, Seoul 04763, South Korea; Lotte Engn & Construct Co LTD, Seoul 06515, South Korea; Kyungpook Natl Univ, Sch Architecture & Civil & Architectural Engn, Daegu 41566, South Korea | Choi, Jewoo/MGT-4857-2025; Yun, Da Yo/JGL-9452-2023; Hong, Taehoon/E-9169-2012 | 57205454679; 57206099403; 56239196300; 57205453285; 57205453819; 56975903200; 57969349700; 56605563300; 55669886900 | hspark@yonsei.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 121 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 1.47 | 2025-07-30 | 23 | 28 | Structural health monitoring; Field measurement; Safety monitoring; High-rise building; Enhanced frequency domain decomposition; Operational modal analysis | Enhanced frequency domain decomposition; Field measurement; High-rise building; Operational modal analysis; Safety monitoring; Structural health monitoring | Composite beams and girders; Construction; Domain decomposition methods; Frequency domain analysis; Numerical methods; Parameter estimation; Tall buildings; Analysis process; Enhanced frequency domain decompositions; Field measurement; High rise building; Measurement and analysis; Measurements of response; Numerical analysis models; Structural response; Modal analysis | English | 2021 | 2021-01 | 10.1016/j.autcon.2020.103446 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Geometrical model based scan planning approach for the classification of rebar diameters | The inspection of rebar diameter prior to concrete pouring is a crucial step for inspectors and fabricators to check the compliance to the designed bearing capacity and structural integrity of reinforced concrete structures during the stages of manufacturing and construction. Current practices for dimensional rebar inspection are, however, conducted manually using measurement tapes, which is labor-intensive and error prone. The authors' group have previously proposed laser scanning-based methods to perform rebar diameter and spacing estimation using laser scanning technologies. However, those prior studies have limitations in not only accurately classifying small-size rebar diameters but also determining optimal locations of laser scanner to ensure accurate rebar dimensional inspection. This study presents a scan planning method to select the optimal scan position of laser scanner for enhancing the rebar inspection accuracy. To this end, a model which defines the geometrical relationship between the rebar layout and the laser scanner is first developed to simulate the coordinates of scan points falling onto the rebar surface. Scan planning is then executed to determine the optimal laser scanner location where the best performance on rebar diameter prediction is achieved. For validation, a series of experimental tests including a comparison between the simulated and real scan data were performed on a rebar specimen. The results show that 1) a more than 90% similarity between the simulated and real scan data is achieved with respect to scan density and scan coverage on the rebar surface; and 2) a rebar classification accuracy of 89.3% is achieved, proving the validity of the developed mathematical model and scan planning approach. | Li, Fangxin; Kim, Min-Koo; Lee, Dong-Eun | Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Peoples R China; Chungbuk Natl Univ, Dept Architectural Engn, Cheongju, South Korea; Kyungpook Natl Univ, Sch Architecture & Civil Engn, Daegu, South Korea | 57219973222; 57219442864; 56605563300 | dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 130 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 1.2 | 2025-07-30 | 18 | 23 | Reinforced precast concrete; Scan planning; Rebar diameter classification; Quality inspection; Terrestrial laser scanner (TLS) | LASER; BUILDINGS | Quality inspection; Rebar diameter classification; Reinforced precast concrete; Scan planning; Terrestrial laser scanner (TLS) | Compliance control; Inspection; Laser applications; Precast concrete; Scanning; Seebeck effect; Surveying instruments; Geometrical models; Laserscanners; Model-based OPC; Pre-cast; Quality inspection; Rebar diameter classification; Reinforced concrete structures; Scan data; Scan planning; Terrestrial laser scanner; Reinforced concrete | English | 2021 | 2021-10 | 10.1016/j.autcon.2021.103848 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Article | Investigation of steel frame damage based on computer vision and deep learning | Visual damage inspection of steel frames by eyes alone is time-consuming and cumbersome; therefore, it produces inconsistent results. Existing computer vision-based methods for inspecting civil structures using deep learning algorithms have not reached full maturity in exactly locating the damage. This paper presents a deep convolutional neural network-based damage locating (DCNN-DL) method that classifies the steel frame images provided as inputs as damaged and undamaged. DenseNet, a DCNN architecture, was trained to classify the damage. The DenseNet output was upscaled and superimposed on the original image to locate the damaged part of the steel frame. The DCNN-DL method was validated using 144 training and 114 validation sets of steel frame images. DenseNet, with an accuracy of 99.3%, outperformed MobileNet and ResNet with accuracies of 96.2% and 95.4%, respectively. This case study confirms that the DCNN-DL method effectively facilitates the real-time inspection and location of steel frame damage. | Kim, Bubryur; Yuvaraj, N.; Park, Hee Won; Preethaa, K. R. Sri; Pandian, R. Arun; Lee, Dong-Eun | KyungPook Natl Univ, Dept Robot & Smart Syst Engn, Daegu, South Korea; Dong A Univ, Dept Architectural Engn, Busan, South Korea; KyungPook Natl Univ, Sch Architecture Civil Environm & Energy Engn, 1370 Sangyegk Dong, Daegu 702701, South Korea; KPR Inst Engn & Technol, Dept Artificial Intelligence & Data Sci, Coimbatore, Tamil Nadu, India; KPR Inst Engn & Technol, Artificial Intelligence Lab, Coimbatore, Tamil Nadu, India | Natarajan, Yuvaraj/GWV-2080-2022; raj, yuva/GWV-2080-2022 | dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 132 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 48 | Steel frame damage; Deep learning; Computer vision; Deep convolutional neural network; Steel structure monitoring | DYNAMIC DISPLACEMENT MEASUREMENT; CRACK DETECTION; INSPECTION; SURFACE; IDENTIFICATION; METHODOLOGY; NETWORK; BRIDGES; SYSTEM; RECOGNITION | English | 2021 | 2021-12 | 10.1016/j.autcon.2021.103941 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Article | Manual operation simulation using motion-time analysis toward labor productivity estimation: A case study of concrete pouring operations | Based on the labor-intensive nature of construction tasks and high costs associated with labor operations, reliable estimation of construction labor productivity is crucial. However, owing to the dynamic nature and variety of tasks involved in a construction activity, obtaining accurate and reliable productivity data has proven to be difficult. Herein, a motion data-based modeling approach for estimating the labor productivity is proposed. The method consists of the following: estimating the standard motion time of the tasks, measuring the unit workload of an operation cycle using 3D models, and quantifying the production rates based on the cycle times and unit workloads. Motion-data analysis is also integrated into simulation modeling to incorporate the impact of jobsite conditions. To validate the proposed approach, a case study is applied for estimating the production rate of concrete placement operations. The results demonstrate that the proposed approach can reliably estimate the productivity of the operations. | Kim, JiWook; Golabchi, Alireza; Han, SangUk; Lee, Dong-Eun | Hanyang Univ, Dept Civil & Environm Engn, 222,Wangsimni Ro, Seoul 133791, South Korea; Univ Alberta, Dept Civil & Environm Engn, 116 St & 85 Ave, Edmonton, AB T6G 2R3, Canada; Kyungpook Natl Univ, Sch Architectural, Sch Architectural Civil Environm & Energy Engn, 1370 Sangyegk Dong, Daegu 702701, South Korea | Han, SangUk/JNS-8543-2023 | 57222545237; 56027666100; 55487857100; 56605563300 | scure@hanyang.ac.kr;alireza1@ualberta.ca;sanguk@hanyang.ac.kr;dolee@knu.ac.kr; | AUTOMATION IN CONSTRUCTION | AUTOMAT CONSTR | 0926-5805 | 1872-7891 | 126 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2021 | 10.517 | 0.4 | 0.74 | 2025-07-30 | 13 | 17 | Predetermined motion time system (PMTS); MTM-1; Simulation modeling; Labor productivity; Cycle time estimation; Building information modeling (BIM) | CONSTRUCTION; DESIGN; ERGONOMICS; EFFICIENCY; FRAMEWORK; DURATION | Building information modeling (BIM); Cycle time estimation; Labor productivity; MTM-1; Predetermined motion time system (PMTS); Simulation modeling | Architectural design; Computer software; Concretes; Construction industry; Motion analysis; Building information modeling; Case-studies; Cycle time estimation; Labour productivities; Manual operations; Motion data; MTM-1; Predetermined motion time system; Production rates; Simulation-modelling; Productivity | English | 2021 | 2021-06 | 10.1016/j.autcon.2021.103669 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | A soft and transparent contact lens for the wireless quantitative monitoring of intraocular pressure | A soft and transparent contact lens can be used to wirelessly monitor intraocular pressure quantitatively in humans. Continuous detection of raised intraocular pressure (IOP) could benefit the monitoring of patients with glaucoma. Current contact lenses with embedded sensors for measuring IOP are rigid, bulky, partially block vision or are insufficiently sensitive. Here, we report the design and testing in volunteers of a soft and transparent contact lens for the quantitative monitoring of IOP in real time using a smartphone. The contact lens incorporates a strain sensor, a wireless antenna, capacitors, resistors, stretchable metal interconnects and an integrated circuit for wireless communication. In rabbits, the lens provided measurements that match those of a commercial tonometer. In ten human participants, the lens proved to be safe, and reliably provided accurate quantitative measurements of IOP without inducing inflammation. | Kim, Joohee; Park, Jihun; Park, Young-Geun; Cha, Eunkyung; Ku, Minjae; An, Hyeon Seok; Lee, Kyoung-Pil; Huh, Man-Il; Kim, Junmo; Kim, Taek-Soo; Kim, Dai Woo; Kim, Hong Kyun; Park, Jang-Ung | Yonsei Univ, Dept Mat Sci & Engn, Seoul, South Korea; Yonsei Univ, Inst Basic Sci IBS, Ctr Nanomed, Seoul, South Korea; Ulsan Natl Inst Sci & Technol UNIST, Sch Mat Sci & Engn, Ulsan, South Korea; Kyungpook Natl Univ, Sch Med, Dept Ophthalmol, Daegu, South Korea; Korea Adv Inst Sci & Technol KAIST, Dept Mech Engn, Daejeon, South Korea | ; Park, Jang-Ung/E-9224-2010; An, Hyeon Seok/GSD-2030-2022; Kim, Sooyeon/AAA-8521-2022; Park, Young-Geun/GLV-4849-2022 | 57208530366; 57476965700; 57197777700; 57212005786; 57212002474; 57204174124; 57204505517; 18634206800; 36015494900; 57210850540; 57095192800; 57218260940; 11739935500 | proector97@gmail.com;okeye@knu.ac.kr;jang-ung@yonsei.ac.kr; | NATURE BIOMEDICAL ENGINEERING | NAT BIOMED ENG | 2157-846X | 5 | 7 | SCIE | ENGINEERING, BIOMEDICAL | 2021 | 29.234 | 0.5 | 9.42 | 2025-07-30 | 160 | 168 | STRAIN SENSOR | Adult; Animals; Cattle; Cell Phone; Contact Lenses; Female; Humans; Intraocular Pressure; Monitoring, Physiologic; Printing, Three-Dimensional; Rabbits; Wireless Technology; Contact lenses; Continuous detections; Embedded sensors; Intra ocular pressure; Metal interconnects; Quantitative measurement; Quantitative monitoring; Wireless antenna; Wireless communications; adult; animal cell; animal experiment; animal tissue; Article; controlled study; cytotoxicity test; electromagnetic radiation; female; fibroblast; glaucoma; human; human experiment; in vivo study; intraocular pressure; mouse; nonhuman; oculoplethysmography; quantitative analysis; rabbit model; signal noise ratio; slit lamp microscopy; three dimensional printing; tonometry; wireless communication; animal; bovine; contact lens; devices; intraocular pressure; Leporidae; mobile phone; physiologic monitoring; physiology; procedures; wireless communication; Lens antennas | English | 2021 | 2021-07 | 10.1038/s41551-021-00719-8 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | An integrated magneto-electrochemical device for the rapid profiling of tumour extracellular vesicles from blood plasma | A device that integrates the enrichment and electrochemical detection, in less than one hour, of tumour extracellular vesicles bearing clinically relevant tumour biomarkers accurately classifies patients with colorectal cancer. Assays for cancer diagnosis via the analysis of biomarkers on circulating extracellular vesicles (EVs) typically have lengthy sample workups, limited throughput or insufficient sensitivity, or do not use clinically validated biomarkers. Here we report the development and performance of a 96-well assay that integrates the enrichment of EVs by antibody-coated magnetic beads and the electrochemical detection, in less than one hour of total assay time, of EV-bound proteins after enzymatic amplification. By using the assay with a combination of antibodies for clinically relevant tumour biomarkers (EGFR, EpCAM, CD24 and GPA33) of colorectal cancer (CRC), we classified plasma samples from 102 patients with CRC and 40 non-CRC controls with accuracies of more than 96%, prospectively assessed a cohort of 90 patients, for whom the burden of tumour EVs was predictive of five-year disease-free survival, and longitudinally analysed plasma from 11 patients, for whom the EV burden declined after surgery and increased on relapse. Rapid assays for the detection of combinations of tumour biomarkers in plasma EVs may aid cancer detection and patient monitoring. | Park, Jongmin; Park, Jun Seok; Huang, Chen-Han; Jo, Ala; Cook, Kaitlyn; Wang, Rui; Lin, Hsing-Ying; Van Deun, Jan; Li, Huiyan; Min, Jouha; Wang, Lan; Yoon, Ghilsuk; Carter, Bob S.; Balaj, Leonora; Choi, Gyu-Seog; Castro, Cesar M.; Weissleder, Ralph; Lee, Hakho | Harvard Med Sch, Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA 02115 USA; Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02115 USA; Kangwon Natl Univ, Dept Chem, Chunchon, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Surg, Daegu, South Korea; Natl Cent Univ, Dept Biomed Sci & Engn, Taoyuan, Taiwan; Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA; Harvard Med Sch, Harvard Pilgrim Hlth Care Inst, Dept Populat Med, Boston, MA 02115 USA; Harvard Med Sch, Massachusetts Gen Hosp, Dept Neurosurg, Boston, MA 02115 USA; Kyungpook Natl Univ, Sch Med, Dept Pathol, Daegu, South Korea; Harvard Med Sch, Massachusetts Gen Hosp, Canc Ctr, Boston, MA 02115 USA; Harvard Med Sch, Dept Syst Biol, Boston, MA 02115 USA | ; Li, Huiyan/G-5366-2016; Park, Jae Yong/ISS-5916-2023; Park, Joonhong/AAZ-9885-2020; Lee, Hakho/M-9004-2016; Van Deun, Jan/AAT-9016-2020; Wang, Rui/X-1699-2019; Balaj, Leonora/LTC-4803-2024; Van Deun, Jan/A-3747-2016 | 57217845765; 35226761100; 57204621841; 55342595400; 56109209100; 55717677500; 24438040700; 57053131500; 58874091100; 55975937900; 57215210291; 57204691355; 7203070333; 35363640500; 8058759100; 37086975700; 35452687500; 35725732800 | rweissleder@mgh.harvard.edu;hlee@mgh.harvard.edu; | NATURE BIOMEDICAL ENGINEERING | NAT BIOMED ENG | 2157-846X | 5 | 7 | SCIE | ENGINEERING, BIOMEDICAL | 2021 | 29.234 | 0.5 | 7.94 | 2025-07-30 | 133 | 138 | COLORECTAL-CANCER; EXPRESSION; 5-FLUOROURACIL; MICROVESICLES; RESISTANCE; PROTEINS; CARCINOMA; EXOSOMES; MARKERS; IMPACT | Adolescent; Adult; Aged; Aged, 80 and over; Antibodies, Immobilized; Area Under Curve; Biomarkers, Tumor; Colorectal Neoplasms; Disease-Free Survival; Electrochemical Techniques; Epithelial Cell Adhesion Molecule; Extracellular Vesicles; Female; Humans; Kaplan-Meier Estimate; Longitudinal Studies; Male; Middle Aged; Prognosis; Recurrence; ROC Curve; Young Adult; Antibodies; Biomarkers; Blood; Diagnosis; Diseases; Electrochemical devices; Patient monitoring; Tumors; CA 19-9 antigen; carcinoembryonic antigen; CD24 antigen; CD63 antigen; CD81 antigen; CD9 antigen; epidermal growth factor receptor; epithelial cell adhesion molecule; fluorouracil; folinic acid; oxaliplatin; tetraspanin; tumor marker; EPCAM protein, human; epithelial cell adhesion molecule; immobilized antibody; tumor marker; Cancer detection; Cancer diagnosis; Colorectal cancers (CRC); Disease free survival; ELectrochemical detection; Enzymatic amplifications; Magnetic beads; Plasma samples; adjuvant chemotherapy; adult; aged; Article; blood sampling; cancer chemotherapy; cancer diagnosis; cancer prognosis; cancer recurrence; cancer size; cancer surgery; chronoamperometry; clinical outcome; cohort analysis; colorectal cancer; controlled study; disease free survival; DNA repair; electric current; electrochemical detection; electromagnetism; electron microscopy; enzyme linked immunosorbent assay; exosome; female; high throughput integrated magneto electrochemical extracellular vesicle; high throughput screening; human; human tissue; immunohistochemistry; immunohistology; immunomagnetic separation; in vitro study; limit of detection; major clinical study; male; patient monitoring; plasma; protein analysis; protein expression; protein fingerprinting; reference electrode; adolescent; area under the curve; blood; chemistry; colorectal tumor; electrochemical analysis; exosome; immunology; Kaplan Meier method; longitudinal study; metabolism; middle aged; mortality; procedures; prognosis; receiver operating characteristic; recurrent disease; very elderly; young adult; Chemical detection | English | 2021 | 2021-07 | 10.1038/s41551-021-00752-7 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Complexity and multistability of a nonsmooth atopic dermatitis system | Atopic dermatitis (AD) has been known as the most common allergic inflammatory skin disease and its immunopathogenetic network is very complex. In this paper, to investigate the complexity of AD, we study a in silico AD model based on the mechanisms of AD disease pathogenesis, which is described by a nonsmooth system with three switches. We uncover a new oscillating behavior O-s called Serious Oscillation , which can make a clear distinction between oscillating behaviors. It thus makes possible to classify AD attractors, which is very similar to AD clinical symptoms used in SCORAD index. A striking finding is that by investigating the existence and the stability of all found attractors on the parameter space for Barrier permeability kappa(P) and Immune responses alpha(I), there exist many different types of bi- and multistability: four and five different types of bistability and multistability, respectively. By characterizing these different types of bi- and multistability, we finally conclude that the complexity of AD is caused by multistability detected in too much wide parameter ranges. In addition, we show a peculiar bifurcation phenomenon occurred in nonsmooth dynamical system. Our results suggest that the existence of multi stability will make it possible to better understand the complexity of AD, which can be applicable in the development of new therapy strategies. (C) 2021 The Author(s). Published by Elsevier Ltd. | Kang, Yoseb; Lee, Eun Hye; Kim, Sang-Hyun; Jang, Yong Hyun; Do, Younghae | Kyungpook Natl Univ, KNU Ctr Nonlinear Dynam, Dept Math, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Med, Dept Dermatol, Daegu 41944, South Korea; Kyungpook Natl Univ, Sch Med, Dept Pharmacol, Daegu 41944, South Korea | ; Do, Younghae/G-3522-2011 | 57325111200; 57189661699; 57210450420; 57016046400; 7103101109 | josephdytpq@gmail.com;eun90hye@knu.ac.kr;shkim72@knu.ac.kr;yhjang@knu.ac.kr;yhdo@knu.ac.kr; | CHAOS SOLITONS & FRACTALS | CHAOS SOLITON FRACT | 0960-0779 | 1873-2887 | 153 | SCIE | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS;PHYSICS, MATHEMATICAL;PHYSICS, MULTIDISCIPLINARY | 2021 | 9.922 | 0.5 | 0.33 | 2025-07-30 | 3 | 4 | Atopic Dermatitis; Multistability; Complexity; Nonsmooth dynamical system | Atopic Dermatitis; Complexity; Multistability; Nonsmooth dynamical system | Complex networks; Atopic dermatitis; Bi-stability; Complexity; In-silico; Model-based OPC; Multistability; Non-smooth dynamical systems; Nonsmooth systems; Oscillating behavior; Skin disease; Dynamical systems | English | 2021 | 2021-12 | 10.1016/j.chaos.2021.111575 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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