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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI ⓘ FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
○ Meeting Abstract ⓘ Serum trefoil factor family 3 as a biomarker for the detection of colorectal cancer. ⓘ ⓘ Lee, Hyun Seok ⓘ Kyungpook Natl Univ, Sch Med, Daegu, South Korea ⓘ Kim, Hyung-Ho/HZM-2707-2023 ⓘ ⓘ ⓘ JOURNAL OF CLINICAL ONCOLOGY ⓘ J CLIN ONCOL ⓘ 0732-183X 1527-7755 41 SCIE ONCOLOGY ⓘ 2023 42.1 1.7 ⓘ 0 ⓘ ⓘ ⓘ ⓘ English 2023 2023-02-01 ⓘ 바로가기 바로가기
○ Meeting Abstract ⓘ Serum vitamin D3 levels and overall survival (OS) in patients (pts) with advanced biliary tract cancer (BTC): Analysis of the NIFTY trial cohort. ⓘ ⓘ Lee, So Heun; Cheon, Jaekyung; Kim, Ilhwan; Kim, Kyu-Pyo; Ryoo, Baek-Yeol; Jeong, Jae Ho; Kang, Myoung Joo; Kang, Byung Woog; Ryu, Hyewon; Lee, Ji Sung; Yoo, Changhoon ⓘ Univ Ulsan, Coll Med, Asan Med Ctr, Dept Oncol, Seoul, South Korea; CHA Bundang Med Ctr, Dept Med Oncol, Seongnam, South Korea; Inje Univ, Haeundae Paik Hosp, Div Oncol, Dept Internal Med,Coll Med, Busan, South Korea; Kyungpook Natl Univ, Sch Med, Med Ctr, Dept Oncol Hematol, Daegu, South Korea; Chungnam Natl Univ Hosp, Div Hematol & Oncol, Dept Internal Med, Daejeon, South Korea; Univ Ulsan, Coll Med, Asan Med Ctr, Clin Res Ctr,Asan Inst Life Sci, Seoul, South Korea ⓘ Kim, Hyunho/GQH-5608-2022; Lee, Kee-Joon/AAA-4090-2022; Kim, In-Ryoung/AGF-2385-2022; Lee, So Heun/KHW-8032-2024 ⓘ ⓘ ⓘ JOURNAL OF CLINICAL ONCOLOGY ⓘ J CLIN ONCOL ⓘ 0732-183X 1527-7755 41 SCIE ONCOLOGY ⓘ 2023 42.1 1.7 ⓘ 0 ⓘ ⓘ ⓘ ⓘ English 2023 2023-02-01 ⓘ 바로가기 바로가기
○ Meeting Abstract ⓘ Similar recurrence after curative treatment of HBV-related HCC regardless of HBV replication activity ⓘ ⓘ Kim, Mi Na; Kim, Beom Kyung; Cho, Heejin; Goh, Myungji; Yu, Su Jong; Sinn, Dong Hyun; Park, Soo Young; Kim, Seung Up ⓘ Yonsei Univ, Dept Internal Med, Coll Med, Seoul, South Korea; Yonsei Univ, Coll Med, Seoul, South Korea; Seoul Natl Univ, Coll Med, Seoul, South Korea; Sungkyunkwan Univ, Sch Med, Seoul, South Korea; Kyungpook Natl Univ Hosp, Daegu, South Korea ⓘ Kim, Kyung/I-5501-2015; Kim, Sun/L-4239-2013; Sinn, Dong/JAC-4247-2023 ⓘ ⓘ ksukorea@yuhs.ac; ⓘ JOURNAL OF HEPATOLOGY ⓘ J HEPATOL ⓘ 0168-8278 1600-0641 78 SCIE GASTROENTEROLOGY & HEPATOLOGY ⓘ 2023 26.8 1.7 ⓘ 0 ⓘ ⓘ ⓘ ⓘ English 2023 2023-06 ⓘ 바로가기 바로가기
○ ○ Article ⓘ Soybean root image dataset and its deep learning application for nodule segmentation ⓘ The root is very important for anchoring the plant and acquiring water and nutrients from the soil for growth. Plant root trait phenotyping using imaging (2D and 3D) techniques is gaining importance in agriculture to enhance the breeding of superior cultivars. However, most root image data have been collected under controlled growth conditions, such as in greenhouses and growth chambers. In this study, we propose collecting soybean root image datasets from open field conditions for root phenotyping. There are numerous methods for segmenting images, but many of them are not suitable for the tiny and nodulated architecture of root. Advancements such as deep learning (DL) methods and semantic segmentation algorithms have been actively applied in many research studies. In the current study, we used convolutional neural network (CNN) based U-Net with six convolution methods and Deeplabv3+ and compared their performance in nodule identification based on the Dice coefficient, GPU memory usage, qualitative image segmentation, training time, and inference time. Also, we employed two image processing, resizing and patching, for efficient training of images with very high resolution. The results indicated accurate segmentation of root nodules; in addition, the results for the segmentation of root nodules using DL high-resolution (HR) images were more precise and efficient than those with low-resolution (LR) images since the Dice coefficient value and rate of nodule size were high in HR images although the former required more training time and higher GPU memory. Furthermore, in comparison to the resizing approach, patch-based approach outperformed in all aspects of performance. Among the DL models that we employed for our study, the grouped convolution-based U-net showed the best results having high Dice coefficient values 0.647 and 0.618 for 600x400 and 300x200 images respectively in resizing approach and dynamic convolution-based U-net showed the best results having Dice coefficient values 0.792 and 0.777 for 600x400 and 300x200 patch images respectively in patch-based approach. Thus, the optimized DL model presented in this study has the potential to be a valuable tool for the automated analysis of soybean root systems, assisting in the measurement of various root quality parameters and contributing to the development of superior cultivars. ⓘ Woo, Dongwon; Ghimire, Amit; Jeong, Sungmoon; Kim, Yoonha ⓘ Kyungpook Natl Univ Hosp, Biomed Res Inst, Res Ctr AI Med, Sch Med, Daegu 41940, South Korea; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Med, Dept Med Informat, Daegu 41566, South Korea ⓘ ghimire, amit/KCK-1842-2024 ⓘ 58738349500; 57823220200; 23100090400; 57224866763 ⓘ jeongsm00@gmail.com;kyh1229@knu.ac.kr; ⓘ COMPUTERS AND ELECTRONICS IN AGRICULTURE ⓘ COMPUT ELECTRON AGR ⓘ 0168-1699 1872-7107 215 SCIE AGRICULTURE, MULTIDISCIPLINARY;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ⓘ 2023 7.7 1.7 0.53 2025-06-25 ⓘ 3 3 Root image; Machine-learning; Nodule; Nodule segmentation; Soybean root; U-Net ⓘ ⓘ Machine-learning; Nodule; Nodule segmentation; Root image; Soybean root; U-Net ⓘ Convolutional neural networks; Deep learning; Graphics processing unit; Learning systems; Plants (botany); Quality control; Semantic Segmentation; Semantics; Coefficient values; Dice coefficient; Image datasets; Machine-learning; Nodule; Nodule segmentation; Phenotyping; Root image; Soybean roots; U-net; breeding; image analysis; image resolution; machine learning; segmentation; soybean; Convolution ⓘ English 2023 2023-12 10.1016/j.compag.2023.108465 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Meeting Abstract ⓘ The role of M2BPGi for screening of advanced hepatic fibrosis in elderly patients ⓘ ⓘ Jo, Hoon Gil; Jun, Dae Won; Yoon, Eileen; Kim, Mimi; Kim, Hye-Lin; Cho, Eun Young; Jang, Se Young; Cho, Young Youn; Yoon, Ki Tae; Baek, Yang-Hyun; Moon, Sang Yi; Jo, Aejeong ⓘ Wonkwang Univ Coll Med & Hosp, Iksan, South Korea; Hanyang Univ, Coll Med, Seoul, South Korea; Sahmyook Univ, Coll Pharm, Seoul, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Daegu, South Korea; Chung Ang Univ Hosp, Seoul, South Korea; Pusan Natl Univ, Busan, South Korea; Dong A Univ, Dept Internal Med, Coll Med, Busan, South Korea ⓘ Cho, EunYoung/KHD-4039-2024; Se Young, Jang/MTD-4362-2025; Jun, Dae Won/O-4529-2017; Kim, Chang/G-5001-2015 ⓘ ⓘ noshin@hanyang.ac.kr; ⓘ JOURNAL OF HEPATOLOGY ⓘ J HEPATOL ⓘ 0168-8278 1600-0641 78 SCIE GASTROENTEROLOGY & HEPATOLOGY ⓘ 2023 26.8 1.7 ⓘ 0 ⓘ ⓘ ⓘ ⓘ English 2023 2023-06 ⓘ 바로가기 바로가기
○ Meeting Abstract ⓘ The role of M2BPGi in screening for advanced hepatic fibrosis in diabetic patients ⓘ ⓘ Kim, Mimi; Kim, Hye-Lin; Yoon, Eileen; Jang, Se Young; Yoon, Ki Tae; Cho, Young Youn; Jo, Hoon Gil; Baek, Yang-Hyun; Moon, Sang Yi; Jun, Dae Won; Jo, Aejeong ⓘ Hanyang Univ, Coll Med, Seoul, South Korea; Sahmyook Univ, Coll Pharm, Seoul, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Daegu, South Korea; Pusan Natl Univ, Busan, South Korea; Chung Ang Univ Hosp, Seoul, South Korea; Wonkwang Univ Coll Med & Hosp, Iksan, South Korea; Dong A Univ, Coll Med, Busan, South Korea ⓘ Kim, Chang/G-5001-2015; Se Young, Jang/MTD-4362-2025; Jun, Dae Won/O-4529-2017 ⓘ ⓘ noshin@hanyang.ac.kr; ⓘ JOURNAL OF HEPATOLOGY ⓘ J HEPATOL ⓘ 0168-8278 1600-0641 78 SCIE GASTROENTEROLOGY & HEPATOLOGY ⓘ 2023 26.8 1.7 ⓘ 0 ⓘ ⓘ ⓘ ⓘ English 2023 2023-06 ⓘ 바로가기 바로가기
○ Meeting Abstract ⓘ Trastuzumab deruxtecan (T-DXd) vs treatment of physician's choice (TPC) in patients (pts) with HER2-low, hormone receptor-positive (HR plus ) unresectable and/or metastatic breast cancer (mBC): Exploratory biomarker analysis of DESTINY-Breast04 ⓘ ⓘ Modi, Shanu; Niikura, Naoki; Yamashita, Toshinari; Jacot, William; Sohn, Joohyuk; Tokunaga, Eriko; Vidal, Maria Jesus; Park, Yeon Hee; Lee, Keun Seok; Chae, Yeesoo; Ueno, Naoto T.; Prat, Aleix; Suto, Fumitaka; Kuwahara, Yusuke; McEwen, Robert; Feng, Wenqin; Goto, Hiroki; Orbegoso, Cecilia; Cameron, David A.; Tsurutani, Junji ⓘ Mem Sloan Kettering Canc Ctr, New York, NY USA; Tokai Univ Hosp, Tokyo, Japan; Kanagawa Canc Ctr, Yokohama, Japan; Inst Canc Montpellier, Montpellier, France; Yonsei Univ Hlth Syst, Severance Hosp, Seoul, South Korea; NHO Kyushu Canc Ctr, Fukuoka, Japan; Hosp Clin Barcelona, Barcelona, Spain; Samsung Med Ctr, Seoul, South Korea; Natl Canc Ctr, Goyang Si, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Daegu, South Korea; Univ Texas MD Anderson Canc Ctr, Houston, TX USA; Daiichi Sankyo Inc, Basking Ridge, NJ USA; AstraZeneca, Oncol R&D, Res & Early Dev, Cambridge, England; Daiichi Sankyo RD Novare Co Ltd, Tokyo, Japan; Univ Edinburgh, Canc Ctr, Edinburgh, Scotland; Showa Univ Hosp, Tokyo, Japan ⓘ Cameron, David/C-7781-2013; Prat, Aleix/P-8561-2014 ⓘ ⓘ ⓘ JOURNAL OF CLINICAL ONCOLOGY ⓘ J CLIN ONCOL ⓘ 0732-183X 1527-7755 41 16 SCIE ONCOLOGY ⓘ 2023 42.1 1.7 ⓘ 6 ⓘ ⓘ ⓘ ⓘ English 2023 2023-06-01 ⓘ 바로가기 바로가기
○ Meeting Abstract ⓘ Use of tumoral LDH to predict residual tumor burden after neoadjuvant chemotherapy in breast cancer. ⓘ ⓘ Lee, Soo Jung; Lee, In Hee; Kang, Byeongju; Park, Jee-Young Nora; Lee, Jeeyeon; Park, Ho Yong; Park, Ji-Young; Chae, Yee Soo ⓘ Kyungpook Natl Univ, Chilgok Hosp, Daegu, South Korea; Kyungpook Natl Univ Hosp, Daegu, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Daegu, South Korea; Kyungpook Natl Univ, Daegu, South Korea; Kyungpook Natl Univ, Dept Pathol, Sch Med, Daegu, South Korea ⓘ Park, Jung Hwan/AAA-1951-2022; PARK, JUN-YOUNG/P-5981-2015; Park, Jin-Young/HDN-0483-2022 ⓘ ⓘ ⓘ JOURNAL OF CLINICAL ONCOLOGY ⓘ J CLIN ONCOL ⓘ 0732-183X 1527-7755 41 16 SCIE ONCOLOGY ⓘ 2023 42.1 1.7 ⓘ 0 ⓘ ⓘ ⓘ ⓘ English 2023 2023-06-01 ⓘ 바로가기 바로가기
○ ○ Article ⓘ Exciton-Scissoring Perfluoroarenes Trigger Photomultiplication in Full Color Organic Image Sensors ⓘ An unprecedented but useful functionality of perfluoroarenes to enable exciton scissoring in photomultiplication-type organic photodiodes (PM-OPDs) is reported. Perfluoroarenes that are covalently connected to polymer donors via a photochemical reaction enable the demonstration of high external quantum efficiency and B-/G-/R-selective PM-OPDs without the use of conventional acceptor molecules. The operation mechanism of the suggested perfluoroarene-driven PM-OPDs, how covalently bonded polymer donor:perfluoroarene PM-OPDs can perform as effectively as polymer donor:fullerene blend-based PM-OPDs, is investigated. By employing a series of arenes and conducting steady-state/time-resolved photoluminescence and transient absorption spectroscopy analyses, it is found that interfacial band bending between the perfluoroaryl group and polymer donor is responsible for exciton scissoring and subsequent electron trapping, which induces photomultiplication. Owing to the acceptor-free and covalently interconnected photoactive layer in the suggested PM-OPDs, superior operational and thermal stabilities are observed. Finally, finely patterned B-/G-/R-selective PM-OPD arrays that enable the construction of highly sensitive passive matrix-type organic image sensors are demonstrated. Covalent networks consisting of photo-crosslinked polymer donor:perfluoroarene exhibit exciton scissoring and subsequent electron trapping, leading to high EQE photomultiplication-type organic photodiodes together with enhanced stability and fine photo-patternability, without the use of conventional acceptor molecules. This mechanism is enabled by interfacial energy band bending between the perfluoroaryl group and polymer donor, as confirmed by photophysical analyses.image ⓘ Kim, Juhee; Kweon, Hyukmin; Lee, Myeongjae; Kang, Mingyun; Lee, Sangjun; An, Sanghyeok; Lee, Wonjong; Choi, Seokran; Choi, Hanbin; Seong, Yujin; Ham, Hyobin; Cha, Hyojung; Lim, Jongchul; Kim, Do Hwan; Kim, BongSoo; Chung, Dae Sung ⓘ Pohang Univ Sci & Technol POSTECH, Dept Chem Engn, Pohang 37673, South Korea; Hanyang Univ, Dept Chem Engn, Seoul 04763, South Korea; Korea Univ, Dept Chem, Seoul 02841, South Korea; Chungnam Natl Univ, Grad Sch Energy Sci & Technol, Daejeon 34134, South Korea; Ulsan Natl Inst Sci & Technol UNIST, Grad Sch Carbon Neutral, 50 UNIST Gil, Ulsan 44919, South Korea; Ulsan Natl Inst Sci & Technol UNIST, Dept Chem, Ulsan 44919, South Korea; Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu 41566, South Korea; Hanyang Univ, Inst Nano Sci & Technol, Seoul 04763, South Korea; Hanyang Univ, Clean Energy Res Inst, Seoul 04763, South Korea; Ulsan Natl Inst Sci & Technol UNIST, Grad Sch Semicond Mat & Device Engn, 50 UNIST Gil, Ulsan 44919, South Korea ⓘ Kim, Do Hwan/ADI-7996-2022; Chung, Dae/AAR-3945-2020; Lee, Myeongjae/KAM-6275-2024; Seong, Yujin/N-7289-2017 ⓘ 57205728276; 57208663158; 57194469113; 57205720824; 59629628100; 57226353850; 57391902500; 58571039400; 57210441123; 58571550700; 57212536357; 35885242200; 37122183800; 34769697400; 57574874200; 15019094800 ⓘ dhkim76@hanyang.ac.kr;bongsoo@unist.ac.kr;dchung@postech.ac.kr; ⓘ ADVANCED MATERIALS ⓘ ADV MATER ⓘ 0935-9648 1521-4095 35 45 SCIE CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER ⓘ 2023 27.4 1.9 0.81 2025-06-25 ⓘ 7 8 exciton scissoring; organic image sensors; perfluoroarenes; photomultiplication ⓘ HIGH-PERFORMANCE; HIGH DETECTIVITY; CROSS-LINKING; PHOTODIODES; PHOTODETECTORS; LAYERS; RANGE; LIGHT ⓘ exciton scissoring; organic image sensors; perfluoroarenes; photomultiplication ⓘ Absorption spectroscopy; Image sensors; Photochemical reactions; Acceptor molecules; Exciton scissoring; External quantum efficiency; Full color; Operation mechanism; Organic image sensor; Organic photodiodes; Organics; Perfluoroarenes; Photomultiplication; Excitons ⓘ English 2023 2023-11 10.1002/adma.202302786 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Giant lattice softening at a Lifshitz transition in Sr2RuO4 ⓘ The interplay of electronic and structural degrees of freedom in solids is a topic of intense research. More than 60 years ago, Lifshitz discussed a counterintuitive possibility: lattice softening driven by conduction electrons at topological Fermi surface transitions. The effect that he predicted, however, was small and has not been convincingly observed. Using a piezo-based uniaxial pressure cell to tune the ultraclean metal strontium ruthenate while measuring the stress-strain relationship, we reveal a huge softening of the Young's modulus at a Lifshitz transition of a two-dimensional Fermi surface and show that it is indeed driven entirely by the conduction electrons of the relevant energy band. ⓘ Noad, H. M. L.; Ishida, K.; Li, Y. -S.; Gati, E.; Stangier, V.; Kikugawa, N.; Sokolov, D. A.; Nicklas, M.; Kim, B.; Mazin, I. I.; Garst, M.; Schmalian, J.; Mackenzie, A. P.; Hicks, C. W. ⓘ Max Planck Inst Chem Phys Solids, D-01187 Dresden, Germany; Karlsruher Inst Technol, Inst Theorie Kondensierten Mat, D-76131 Karlsruhe, Germany; Natl Inst Mat Sci, Tsukuba, Ibaraki 3050003, Japan; Kunsan Natl Univ, Dept Phys, Gunsan 54150, South Korea; Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea; George Mason Univ, Dept Phys & Astron, Fairfax, VA 22030 USA; George Mason Univ, Quantum Sci & Engn Ctr, Fairfax, VA 22030 USA; Karlsruher Inst Technol, Inst Theoret Festkorperphys, D-76131 Karlsruhe, Germany; Karlsruher Inst Technol, Inst QuantenMat & Technol, D-76131 Karlsruhe, Germany; Univ St Andrews, Scottish Univ Phys Alliance, Sch Phys & Astron, St Andrews KY16 9SS, Fife, Scotland; Univ Birmingham, Sch Phys & Astron, Birmingham B15 2TT, W Midlands, England ⓘ Mazin, Igor/B-6576-2008; Sokolov, Dmitry A./G-7755-2011; Sokolov, D/G-7755-2011; Mackenzie, Andrew/K-6742-2015; KIKUGAWA, Naoki/H-2806-2011; Gati, Elena/MGV-5596-2025; Garst, Markus/B-6740-2012; Ishida, Kousuke/MZS-0471-2025; Schmalian, Joerg/H-2313-2011; Hicks, Clifford/N-9719-2015; Nicklas, Michael/B-6344-2008 ⓘ 52564132000; 57193334147; 57211246299; 55341097800; 57226613321; 7003709513; 14038128100; 7003474767; 55650566000; 7006061456; 7004329980; 7003406280; 7202711931; 16175167300 ⓘ hilary.noad@cpfs.mpg.de;joerg.schmalian@kit.edu;andy.mackenzie@cpfs.mpg.de;c.hicks.1@bham.ac.uk; ⓘ SCIENCE ⓘ SCIENCE ⓘ 0036-8075 1095-9203 382 6669 SCIE MULTIDISCIPLINARY SCIENCES ⓘ 2023 44.8 1.9 1.3 2025-06-25 ⓘ 11 11 ⓘ SUPERCONDUCTIVITY; COLLAPSE; METAL ⓘ ⓘ strontium; energy flow; energy storage; fuel cell; softening; strontium; Young modulus; Article; crystal structure; high temperature; hydrostatic pressure; mathematical computing; Poisson distribution; structure analysis; superconductivity; surface property; Young modulus ⓘ English 2023 2023-10-27 10.1126/science.adf3348 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Pancreatic Tumor-Targeting Stemsome Therapeutics ⓘ Owing to the intrinsic ability of stem cells to target the tumor environment, stem-cell-membrane-functionalized nanocarriers can target and load active anticancer drugs. In this work, a strategy that focuses on stem cells that self-target pancreatic cancer cells is developed. In particular, malignant deep tumors such as pancreatic cancer cells, one of the intractable tumors that currently have no successful clinical strategy, are available for targeting and destruction. By gaining the targeting ability of stem cells against pancreatic tumor cells, stem cell membranes can encapsulate nano-polylactide-co-glycolide loaded with doxorubicin to target and reduce deep pancreatic tumor tissues. Considering the lack of known target proteins on pancreatic tumor cells, the suggested platform technology can be utilized for targeting any malignant tumors in which surface target receptors are unavailable. ⓘ Park, Jun-Young; Park, Jun Young; Jeong, Yong-Gyu; Park, Joo-Hwan; Park, Yeon Ho; Kim, Sang-Hyun; Khang, Dongwoo ⓘ Gachon Univ, Lee Gil Ya Canc & Diabet Inst, Incheon 21999, South Korea; Gachon Univ, Dept Hlth Sci & Technol, GAIHST, Incheon 21999, South Korea; Gachon Univ, Coll Med, Gil Med Ctr, Div Med Oncol,Dept Internal Med, Incheon 21565, South Korea; Gachon Univ, Coll Med, Gil Med Ctr, Dept Surg, Incheon 21565, South Korea; Kyungpook Natl Univ, Coll Med, Dept Pharmacol, CMRI, Daegu 41944, South Korea; Gachon Univ, Coll Med, Dept Physiol, Incheon 21999, South Korea; Ectosome Inc, Incheon 21999, South Korea ⓘ ; PARK, JUN-YOUNG/P-5981-2015; Park, Jun/HPH-3570-2023; Kim, Sang-Hyun/KQU-4555-2024 ⓘ 57211684904; 59945965000; 58307727600; 57208600133; 57189388760; 57210450420; 26039177500 ⓘ shkim72@knu.ac.kr;dkhang@gachon.ac.kr; ⓘ ADVANCED MATERIALS ⓘ ADV MATER ⓘ 0935-9648 1521-4095 35 30 SCIE CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER ⓘ 2023 27.4 1.9 0.92 2025-06-25 ⓘ 6 9 ectosomes; pancreatic cancer; PLGA nanoparticles; stem cells; surface target receptors; tumor targeting ⓘ MEMBRANE PROTEOMIC ANALYSIS; DRUG-DELIVERY; CANCER-TREATMENT; CELLS; NANOPARTICLES; THERAPIES; EXOSOMES; GROWTH ⓘ ectosomes; pancreatic cancer; PLGA nanoparticles; stem cells; surface target receptors; tumor targeting ⓘ Antineoplastic Agents; Cell Line, Tumor; Doxorubicin; Humans; Nanoparticles; Pancreatic Carcinoma; Pancreatic Neoplasms; Stem Cells; Cancer cells; Cytology; Diseases; Tumors; antineoplastic agent; doxorubicin; nanoparticle; Cancer cells; Ectosome; Pancreatic cancers; Pancreatic tumors; PLGA nanoparticles; Stem-cell; Surface target; Surface target receptor; Target receptor; Tumor-targeting; human; pancreas carcinoma; pancreas tumor; pathology; stem cell; tumor cell line; Stem cells ⓘ English 2023 2023-07 10.1002/adma.202300934 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Preventing Vanishing Gradient Problem of Hardware Neuromorphic System by Implementing Imidazole-Based Memristive ReLU Activation Neuron ⓘ With advances in artificial intelligent services, brain-inspired neuromorphic systems with synaptic devices are recently attracting significant interest to circumvent the von Neumann bottleneck. However, the increasing trend of deep neural network parameters causes huge power consumption and large area overhead of a nonlinear neuron electronic circuit, and it incurs a vanishing gradient problem. Here, a memristor-based compact and energy-efficient neuron device is presented to implement a rectifying linear unit (ReLU) activation function. To emulate the volatile and gradual switching of the ReLU function, a copolymer memristor with a hybrid structure is proposed using a copolymer/inorganic bilayer. The functional copolymer film developed by introducing imidazole functional groups enables the formation of nanocluster-type pseudo-conductive filaments by boosting the nucleation of Cu nanoclusters, causing gradual switching. The ReLU neuron device is successfully demonstrated by integrating the memristor with amorphous InGaZnO thin-film transistors, and achieves 0.5 pJ of energy consumption based on sub-10 mu A operation current and high-speed switching of 650 ns. Furthermore, device-to-system-level simulation using neuron devices on the MNIST dataset demonstrates that the vanishing gradient problem is effectively resolved by five-layer deep neural networks. The proposed neuron device will enable the implementation of high-density and energy-efficient hardware neuromorphic systems. ⓘ Oh, Jungyeop; Kim, Sungkyu; Lee, Changhyeon; Cha, Jun-Hwe; Yang, Sang Yoon; Im, Sung Gap; Park, Cheolmin; Jang, Byung Chul; Choi, Sung-Yool ⓘ Korea Adv Inst Sci & Technol KAIST, Graphene 2D Mat Res Ctr, Sch Elect Engn, 291 Daehak Ro, Daejeon 34141, South Korea; Sejong Univ, Dept Nanotechnol & Adv Mat Engn, 209 Neungdong Ro, Seoul 05006, South Korea; Korea Adv Inst Sci & Technol KAIST, Graphene 2D Mat Res Ctr, Dept Chem & Biomol Engn, 291 Daehak Ro, Daejeon 34141, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, 80 Daehakro, Daegu 41566, South Korea ⓘ Im, Sung/C-1823-2011; Choi, Sung-Yool/B-3383-2012; Jang, Byung Chul/GYV-0656-2022; Kim, Sung Kyu/GSI-4036-2022 ⓘ 57205761271; 57221945294; 57207257308; 57194684802; 56469963900; 14420979700; 59813594600; 9238827900; 7408120246 ⓘ bc.jang@knu.ac.kr;sungyool.choi@kaist.ac.kr; ⓘ ADVANCED MATERIALS ⓘ ADV MATER ⓘ 0935-9648 1521-4095 35 24 SCIE CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER ⓘ 2023 27.4 1.9 2.89 2025-06-25 ⓘ 23 25 deep neural network; initiated chemical vapor deposition; neuromorphic computing; ReLU activation neuron; vanishing gradient problem ⓘ ULTRATHIN; NETWORKS; DYNAMICS ⓘ deep neural network; initiated chemical vapor deposition; neuromorphic computing; ReLU activation neuron; vanishing gradient problem ⓘ Chemical activation; Copper compounds; Deep neural networks; Energy efficiency; Energy utilization; Gallium compounds; Multilayer neural networks; Multilayers; Network layers; Zinc compounds; Energy efficient; Imidazol; Initiated chemical vapor depositions; Linear units; Memristor; Neuromorphic computing; Neuromorphic systems; Rectifying linear unit activation neuron; Vanishing gradient; Vanishing gradient problem; Neurons ⓘ English 2023 2023-06 10.1002/adma.202300023 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Reprocessable and Chemically Recyclable Hard Vitrimers Based on Liquid-Crystalline Epoxides ⓘ The rapid increase in demand for recyclable and reusable thermosets has necessitated the development of materials with chemical structures that exhibit these features. Thus, functional mesogenic epoxide monomers bearing both ester and imine groups that can be vitrimerized and recycled are reported herein. The compounds show mesophase characteristics at 100-200 degrees C and can be converted into hard epoxides by a common curing reaction. The obtained hard epoxides have high isotropic thermal conductivity (approximate to 0.64 W m(-1) K-1), which is derived from their highly ordered microstructures. The cured products can be easily reprocessed through imine metathesis and transesterification, and decomposed products can be obtained through imine hydrolysis under acidic or basic conditions and subsequently be re-cured. Surprisingly, recycled materials can be repeatedly reprocessed or chemically decomposed. The reprocessed materials retain the properties of their pristine counterparts, and the recycled products preserve the advantages of the hard thermosets without alteration to any of their unique properties. A dehydration reaction occurs between the residual hydroxyl groups during the re-hardening, which dramatically increases the glass transition temperature by approximate to 60 degrees C. These reprocessable and recyclable vitrimers demonstrate the effectiveness and environmental friendliness of the molecular design strategy reported herein. ⓘ Trinh, Thi En; Ku, Kyosun; Yeo, Hyeonuk ⓘ Kyungpook Natl Univ, Dept Sci Educ, 80,Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Chem Educ, 80,Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Pharm, 80,Daehak Ro, Daegu 41566, South Korea ⓘ Yeo, Hyeonuk/AHE-0397-2022; yeo, hyeonuk/G-7890-2017 ⓘ 58092720700; 57219781815; 55324816500 ⓘ yeo@knu.ac.kr; ⓘ ADVANCED MATERIALS ⓘ ADV MATER ⓘ 0935-9648 1521-4095 35 11 SCIE CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER ⓘ 2023 27.4 1.9 4.62 2025-06-25 ⓘ 40 40 chemical decomposition; epoxy resins; liquid crystals; recycling; reusable plastics; vitrimers ⓘ THERMAL-CONDUCTIVITY; EXCHANGE ⓘ chemical decomposition; epoxy resins; liquid crystals; recycling; reusable plastics; vitrimers ⓘ Curing; Dehydration; Glass transition; Liquid crystals; Recycling; Thermal conductivity; Thermosets; Chemical decomposition; Epoxide monomers; Liquid crystalline; Liquid-crystals; Mesogenics; Monomer bearing; Property; Recyclables; Reusable plastic; Vitrimer; Epoxy resins ⓘ English 2023 2023-03 10.1002/adma.202209912 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Ultra-Narrowband Near-Infrared Responsive J-Aggregates of Fused Quinoidal Tetracyanoindacenodithiophene ⓘ Narrowband photoresponsive molecules are highly coveted in high-resolution imaging, sensing, and monochromatic photodetection, especially those extending into the near-infrared (NIR) spectral range. Here, a new class of J-aggregating materials based on quinoidal indacenodithiophenes (IDTs) that exhibit an ultra-narrowband (full width half maxima of 22 nm) NIR absorption peak centered at 770 nm is reported. The spectral width is readily tuned by the length of the solubilizing alkyl group, with longer chains resulting in significant spectral narrowing. The J-aggregate behavior is confirmed by a combination of excited state lifetime measurements and single-crystal X-ray diffraction measurements. Their utility as electron-transporting materials is demonstrated in both transistor and phototransistor devices, with the latter demonstrating good response at NIR wavelengths (780 nm) over a range of intensities. ⓘ He, Qiao; Basu, Aniruddha; Cha, Hyojung; Daboczi, Matyas; Panidi, Julianna; Tan, Luxi; Hu, Xiantao; Huang, Chi Cheng; Ding, Bowen; White, Andrew J. P.; Kim, Ji-Seon; Durrant, James R.; Anthopoulos, Thomas D.; Heeney, Martin ⓘ Imperial Coll London, Ctr Processable Elect, Dept Chem, London W12 0BZ, England; King Abdullah Univ Sci & Technol KAUST SC, KAUST Solar Ctr KSC, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi Arabia; Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu 41566, South Korea; Imperial Coll London, Dept Phys, London W12 0BZ, England; Imperial Coll London, Ctr Processable Elect, London W12 0BZ, England; Chongqing Univ, Sch Chem & Chem Engn, Chongqing 401331, Peoples R China ⓘ ; Heeney, Martin/O-1916-2013; Anthopoulos, Thomas/F-5625-2016; HU, XIANTAO/AAD-3679-2019; Panidi, Julianna/AAD-2125-2020; He, Qiao/JCO-2897-2023; Basu, Aniruddha/D-8509-2018; Daboczi, Matyas/HNC-5680-2023; Tan, Luxi/C-9758-2017; Durrant, James/A-6198-2009; ANTHOPOULOS, THOMAS/AAE-7690-2019; Kim, Seong-Gon/AAF-7553-2020 ⓘ 57161726500; 57190517868; 35885242200; 56868636700; 57200299947; 54399359800; 57738257100; 58092719800; 57226549560; 35431952500; 55757743100; 56401622800; 6701337286; 6701353187 ⓘ m.heeney@imperial.ac.uk; ⓘ ADVANCED MATERIALS ⓘ ADV MATER ⓘ 0935-9648 1521-4095 35 11 SCIE CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER ⓘ 2023 27.4 1.9 1.73 2025-06-25 ⓘ 7 15 indacenodithiophenes; J-aggregates; narrow absorption; organic semiconductors; quinoidal materials ⓘ BUILDING-BLOCK; DYE; ABSORPTION; INDACENODITHIOPHENE; SEMICONDUCTORS; TRANSISTORS; ACCEPTORS; MOBILITY; FIELD ⓘ indacenodithiophenes; J-aggregates; narrow absorption; organic semiconductors; quinoidal materials ⓘ Excited states; Infrared devices; Single crystals; High-resolution imaging; Indacenodithiophene; J aggregates; Narrow absorption; Narrow bands; Near Infrared; Near-infrared; Photo-responsive; Quinoidal material; Ultra-narrowband; Aggregates ⓘ English 2023 2023-03 10.1002/adma.202209800 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Letter ⓘ A machine learning-derived risk score predicts mortality in East Asian patients with acute heart failure ⓘ ⓘ Park, Jin Joo; Jang, Se Yong; Adler, Eric; Ahmad, Faraz; Campagnari, Claudio; Yagil, Avi; Greenberg, Barry ⓘ Univ Calif San Diego, Cardiol Dept, La Jolla, CA 92093 USA; Seoul Natl Univ, Coll Med, Cardiovasc Ctr, Dept Internal Med,Bundang Hosp,Div Cardiol, Seoul, South Korea; Kyungpook Natl Univ, Sch Med, Dept Internal Med, Div Cardiol, Daegu, South Korea; Northwestern Univ, Med Ctr, Chicago, IL USA; Univ Calif Santa Barbara, Phys Dept, Santa Barbara, CA USA; Univ Calif San Diego, Phys Dept, La Jolla, CA USA ⓘ yagil, avi/I-3278-2018 ⓘ 35799900000; 57207977889; 59283823400; 54392524600; 59886195500; 59434614500; 7201629440 ⓘ bgreenberg@health.ucsd.edu; ⓘ EUROPEAN JOURNAL OF HEART FAILURE ⓘ EUR J HEART FAIL ⓘ 1388-9842 1879-0844 25 12 SCIE CARDIAC & CARDIOVASCULAR SYSTEMS ⓘ 2023 16.9 2.0 2.18 2025-06-25 ⓘ 3 3 ⓘ ⓘ ⓘ East Asian People; Heart Failure; Humans; Machine Learning; Risk Assessment; Risk Factors; acute heart failure; adult; aged; all cause mortality; cardiovascular mortality; cause of death; cohort analysis; controlled study; false positive result; female; hospital patient; human; Korean (people); Letter; Machine Learning Assessment of Risk and Early Mortality in Heart Failure; major clinical study; male; measurement accuracy; middle aged; mortality risk; mortality risk score; predictive value; prospective study; receiver operating characteristic; reproducibility; South Korea; survival rate; East Asian; heart failure; machine learning; risk assessment; risk factor ⓘ English 2023 2023-12 10.1002/ejhf.3059 ⓘ 바로가기 바로가기 바로가기 바로가기
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