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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
○ ○ Article ⓘ Designing magnetic microcapsules for cultivation and differentiation of stem cell spheroids ⓘ Human pluripotent stem cells (hPSCs) represent an excellent cell source for regenerative medicine and tissue engineering applications. However, there remains a need for robust and scalable differentiation of stem cells into functional adult tissues. In this paper, we sought to address this challenge by developing magnetic microcapsules carrying hPSC spheroids. A co-axial flow-focusing microfluidic device was employed to encapsulate stem cells in core-shell microcapsules that also contained iron oxide magnetic nanoparticles (MNPs). These microcapsules exhibited excellent response to an external magnetic field and could be held at a specific location. As a demonstration of utility, magnetic microcapsules were used for differentiating hPSC spheroids as suspension cultures in a stirred bioreactor. Compared to standard suspension cultures, magnetic microcapsules allowed for more efficient media change and produced improved differentiation outcomes. In the future, magnetic microcapsules may enable better and more scalable differentiation of hPSCs into adult cell types and may offer benefits for cell transplantation. ⓘ Gwon, Kihak; Dharmesh, Ether; Nguyen, Kianna M.; Schornack, Anna Marie R.; de Hoyos-Vega, Jose M.; Ceylan, Hakan; Stybayeva, Gulnaz; Peterson, Quinn P.; Revzin, Alexander ⓘ Mayo Clin, Dept Physiol & Biomed Engn, Rochester, MN 55905 USA; Kyungpook Natl Univ, Dept Biofibers & Biomat Sci, Daegu, South Korea; St Louis Univ, Dept Biomed Engn, St Louis, MO USA; Mayo Clin, Dept Physiol & Biomed Engn, Scottsdale, AZ USA ⓘ Ceylan, Hakan/I-4035-2019; Gwon, Kihak/AAE-2737-2022 ⓘ 50461594700; 57981061100; 57221325637; 57698597900; 56809377300; 56585593300; 24722171600; 14030555700; 7003422366 ⓘ khgwon@knu.ac.kr;revzin.alexander@mayo.edu; ⓘ MICROSYSTEMS & NANOENGINEERING ⓘ MICROSYST NANOENG ⓘ 2055-7434 10 1 SCIE INSTRUMENTS & INSTRUMENTATION;NANOSCIENCE & NANOTECHNOLOGY ⓘ 2024 9.9 0.6 0 2025-05-07 ⓘ 2 3 ⓘ MINIATURIZED 3D CULTURE; HYDROGEL MICROCAPSULES; SHELL MICROCAPSULES; SUSPENSION-CULTURE; BIOREACTOR CULTURE; SHEAR-STRESS; EXPANSION; CORE; FATE; MICROPARTICLES ⓘ ⓘ Cell culture; Cell engineering; Magnetic bubbles; Magnetic nanoparticles; Regenerative medicine; Suspensions (fluids); Tissue engineering; Cell sources; Cell spheroids; Functionals; Magnetic microcapsules; Pluripotent stem cells; Regenerative medicine; Regenerative tissues; Stem-cell; Suspension cultures; Tissue engineering applications; Stem cells ⓘ English 2024 2024-09-12 10.1038/s41378-024-00747-9 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Enhancing electrocatalytic hydrogen evolution of MoS2 enabled by electrochemical cation implantation for simultaneous surface-defect and phase engineering ⓘ The increasing demand for energy-efficient and cost-effective water-splitting systems has prompted research on non-precious-metal-based electrocatalysts for the hydrogen evolution reaction (HER) over a wide pH range. Molybdenum sulfide (MoS2) has received considerable attention owing to its excellent HER activity in acidic media. However, its competitive HER properties must be improved to achieve better performance in alkaline or neutral environments. In this study, we introduced an electrochemical cation implantation (ECI) process as a versatile method to enhance the electrocatalytic properties of MoS2. By modifying the microstructure of MoS2, the ECI process induced vacancies in Mo and S, primarily in the basal planes and facilitated a gradual transition from the semiconducting (2H) to metallic (1T) phase. The optimized ECI-processed MoS2 catalysts exhibited improved HER activities and low overpotentials (eta(10), 144 mV) over the entire pH range compared with bare MoS2 catalysts, highlighting the potential application of the ECI process for enhanced electrocatalysts. ⓘ Kim, Mun Kyoung; Lamichhane, Bipin; Song, Byunggon; Kwon, Sunhyeong; Wang, Benzhi; Kattel, Shyam; Lee, Ji Hoon; Jeong, Hyung Mo ⓘ Sungkyunkwan Univ, Sch Mech Engn, 2066 Seobu Ro, Suwon 16419, South Korea; Sungkyunkwan Univ, Dept Smart Fab Technol, 2066 Seobu Ro, Suwon 16419, South Korea; Florida A&M Univ, Dept Phys, Tallahassee, FL 32307 USA; Kyungpook Natl Univ, Sch Mat Sci & Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, KNU Adv Mat Res Inst, 80 Daehak Ro, Daegu 41566, South Korea ⓘ ; Lee, Ji Hoon/T-4913-2017; Lee, Ji/AAU-7285-2021; Benzhi, Wang/AGZ-2552-2022; Kattel, Shyam/AAK-6985-2020 ⓘ 57202767289; 57206668892; 58864856700; 58864693500; 57205606723; 36497069200; 55689885200; 42061388000 ⓘ shyam.kattel@famu.edu;jihoonlee@knu.ac.kr;hmjeong@skku.edu; ⓘ APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY ⓘ APPL CATAL B-ENVIRON ⓘ 0926-3373 1873-3883 352 SCIE CHEMISTRY, PHYSICAL;ENGINEERING, CHEMICAL;ENGINEERING, ENVIRONMENTAL ⓘ 2024 21.1 0.6 6.26 2025-05-07 ⓘ 12 25 Transition metal dichalcogenide; Hydrogen production; Phase transition; Defect engineering; In situ X-ray absorption spectroscopy ⓘ TOTAL-ENERGY CALCULATIONS; SUPPORTED PLATINUM; REACTION-MECHANISM; SULFUR VACANCIES; TRANSITION; NANOSHEETS; PLANE; HETEROSTRUCTURES; EFFICIENCY; MONOLAYER ⓘ Defect engineering; Hydrogen production; In situ X-ray absorption spectroscopy; Phase transition; Transition metal dichalcogenide ⓘ Alkalinity; Catalyst activity; Cost effectiveness; Defect engineering; Electrocatalysis; Electrocatalysts; Electronic structure; Energy efficiency; Layered semiconductors; Molybdenum compounds; pH; Positive ions; Sulfur compounds; Surface defects; Transition metals; X ray absorption spectroscopy; Defect engineering; Electrocatalytic; Electrochemicals; Hydrogen evolution reaction activities; Hydrogen evolution reactions; Hydrogen-evolution; Implantation process; In-situ X-ray absorption spectroscopy; Transition metal dichalcogenides (TMD); ]+ catalyst; Hydrogen production ⓘ English 2024 2024-09-05 10.1016/j.apcatb.2024.124037 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Highly efficient water-splitting electrodes with stable operation at 3 A cm⁻² in alkaline media through molecular linker assembly-induced all-in-one structured NiMo and NiFe electrocatalysts ⓘ Developing nonnoble electrocatalyst-based water-splitting electrodes with high operational stability and low overpotentials is one of the most critical challenges in commercially available water-splitting reactions. In this study, we present water-splitting textile electrodes enabling remarkably low overpotentials and high stable operation. We first assembled conductive multi-walled-carbon-nanotubes (MWCNTs) with amine molecule-based linkers onto cotton textiles and subsequently electrodeposited Ni onto the MWCNT-incorporated textile. For the preparation of hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) electrodes, NiMo and NiFe were further electrodeposited onto the Ni-electrodeposited textile electrode, respectively. These electrodes exhibited considerably low overpotentials in alkaline media (8 mV at 10 mA cm(-2) for HER and 189 mV at 50 mA cm(-2) for OER). Furthermore, the full-cell electrodes preserved a low cell voltage of 2.01 V at an unprecedentedly high current density of 3000 mA cm(-2) for a prolonged duration (> at least 1000 h). ⓘ Ahn, Jeongyeon; Kim, Gyuchan; Kim, Byung-Hyun; Kim, Myeongjin; Son, Youhyun; Mo, Jeongmin; Yong, Euiju; Lee, Wonyoung; Kwon, Cheong Hoon; Ju, Hyun; Lee, Seung Woo; Cho, Jinhan ⓘ Korea Univ, Dept Chem & Biol Engn, 145 Anam Ro, Seoul 02841, South Korea; Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, 80 Daehakro, Daegu 41566, South Korea; Kangwon Natl Univ, Dept Energy Resources & Chem Engn, Samcheok 25913, South Korea; Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA; Hanyang Univ ERICA, Dept Chem & Mol Engn, 55 Hanyangdaehak Ro, Ansan 15588, Gyeonggi Do, South Korea; Hanyang Univ ERICA, Ctr Bionano Intelligence Educ & Res, Dept Appl Chem, 55 Hanyangdaehak Ro, Ansan 15588, Gyeonggi Do, South Korea; Korea Univ, Grad Sch Converging Sci & Technol, KU KIST, 145 Anam Ro, Seoul 02841, South Korea; Korea Inst Sci & Technol KIST, Soft Hybrid Mat Res Ctr, Adv Mat Res Div, Seoul 02792, South Korea ⓘ Lee, Seung/B-5820-2013; Son, Youhyun/MTB-4788-2025; Kim, Gyuchan/MFI-9577-2025; Kim, Byung-Hyun/N-1584-2016; Kim, Byung-Hyun/HGB-5885-2022 ⓘ 57211230229; 57224504576; 57722993800; 58037941600; 58752137900; 57195940408; 57143770200; 56438791400; 56449665800; 55502655900; 55541419000; 35094987500 ⓘ bhkim00@hanyang.ac.kr;myeongjinkim@knu.ac.kr;jinhan71@korea.ac.kr; ⓘ APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY ⓘ APPL CATAL B-ENVIRON ⓘ 0926-3373 1873-3883 343 SCIE CHEMISTRY, PHYSICAL;ENGINEERING, CHEMICAL;ENGINEERING, ENVIRONMENTAL ⓘ 2024 21.1 0.6 4.27 2025-05-07 ⓘ 18 18 Water-splitting; Carbon nanotube; Binary nonnoble metal ⓘ OXYGEN EVOLUTION REACTION; HETEROSTRUCTURES; NANOSHEETS; STABILITY; CATALYSTS; SPECTRA; XPS ⓘ Binary nonnoble metal; Carbon nanotube; Water-splitting ⓘ Binary alloys; Electrocatalysts; Electrodeposition; Iron alloys; Multiwalled carbon nanotubes (MWCN); Textiles; Alkaline media; Binary nonnoble metal; Hydrogen evolution reactions; Molecular linkers; Multi-walled-carbon-nanotubes; Non-noble electrocatalysts; Overpotential; Stable operation; Textile electrodes; Water splitting; Electrodes ⓘ English 2024 2024-04 10.1016/j.apcatb.2023.123563 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Photoelectrochemical water oxidation using hematite modified with metal-incorporated graphitic carbon nitride film as a surface passivation and hole transfer overlayer ⓘ Hematite (alpha-Fe2O3) is renowned as a promising photoanode for water oxidation, even though it displays poor photoconversion efficiency. In this study,-5 nm-thick graphitic carbon nitride (g-C3N4; CN) and metal incorporated CN (M-CN; M = Ag, Fe, Co) films are uniformly deposited on hematite via a facile one-step evaporation method. Herein, the Co-CN layer leads to the highest photoelectrochemical activity with hematite-based photoanode. The subsequent loading of Co-CN layer with oxygen evolution catalysts (FeNiOOH and CoOOH) further enhances photocurrent density to-3.5 mA cm(-2) and oxygen evolution at > 95 % of Faradaic efficiency over 24 h at E = 1.23 V. Detailed analysis based on spectroscopic and electrochemical measurements demonstrate that the primary role of CN layer is improving the charge separation efficiency by passivating the hematite surface. Then the incorporated metals contribute to reducing charge transfer resistance and thereby mediating hole transfer to interfacial water. ⓘ Jeon, Tae Hwa; Park, Cheolwoo; Kang, Unseock; Moon, Gun-hee; Kim, Wooyul; Park, Hyunwoong; Choi, Wonyong ⓘ SK Innovat Co, 325 Exporo, Daejeon 305712, South Korea; Korea Inst Energy Technol KENTECH, KENTECH Inst Environm & Climate Technol, Naju 58330, South Korea; Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea; Korea Inst Sci & Technol, Extreme Mat Res Ctr, Seoul 02792, South Korea ⓘ ; Park, Hyunwoong/A-1247-2012; Choi, Wonyong/F-8206-2010; Moon, Gun-hee/A-3279-2017 ⓘ 37099787500; 57193164048; 55682720300; 41661921200; 23485589100; 7601565583; 7402516297 ⓘ hwp@knu.ac.kr;wchoi@kentech.ac.kr; ⓘ APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY ⓘ APPL CATAL B-ENVIRON ⓘ 0926-3373 1873-3883 340 SCIE CHEMISTRY, PHYSICAL;ENGINEERING, CHEMICAL;ENGINEERING, ENVIRONMENTAL ⓘ 2024 21.1 0.6 2.5 2025-04-16 ⓘ 9 10 Carbon nitride; Metal incorporation; Photoelectrochemical water splitting; Junction structure; Hole-mediating interlayer ⓘ (G-C3N4)-BASED PHOTOCATALYSTS; PHOTOGENERATED HOLES; WIRE ARRAYS; PHOTOANODES; EFFICIENT; PERFORMANCE; DYNAMICS; BIVO4; PHOTOOXIDATION; ULTRAFAST ⓘ Carbon nitride; Hole-mediating interlayer; Junction structure; Metal incorporation; Photoelectrochemical water splitting ⓘ Carbon nitride; Charge transfer; Efficiency; Electrochemistry; Nickel compounds; Oxygen; Passivation; Spectroscopic analysis; Graphitic carbon nitrides; Haematite; Hole transfer; Hole-mediating interlayer; Junction structure; Metal incorporation; Oxygen evolution; Photo-anodes; Photoelectrochemical water oxidation; Photoelectrochemical water splitting; Hematite ⓘ English 2024 2024-01 10.1016/j.apcatb.2023.123167 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Vanadium in strongly correlated electron system Ni1-xVxWO 4: Paradoxically boosted deNOx reaction under SOx environment via modulating electron correlation ⓘ The persistent challenge of NOx selective catalytic reduction degradation in the presence of SOx has remained unresolved for decades. In this study, we report a paradoxical boosted denitration performance more than 20% under the SOx environment through controlling the charge state of V utilizing strongly correlated electron systems (SCES) in Ni1_ xVxWO4. Substitutional doped V at the Ni site, and the computed charge gap from DFT confirms the SCES. Through the manipulation of the strong correlation between V and Ni, V preserves the be-tween + 2-3 charge state in the presence of SOx. Furthermore, we achieved a stable oxidation/reduction cycle and higher denitration efficiency by altering the oxidation point of (NH4)HSO4-contaminated Ni1ₓVₓWO₄. This results from deliberate decrease in Coulombic repulsion between Ni and V, improving electron transfer for catalytic performance. This revelation offers a resolution of exceptional denitration performance within SOx in industrial exhaust systems, exploiting the foundational principles of SCES. ⓘ Suh, June Won; Park, Jihye; Jeong, Si Hoon; Park, Gi Hyun; Choi, Myung Sik; Jin, Changhyun; Lee, Jung-Woo; Lee, Kimoon; Jeong, Bo Ra; Kim, Hong-Dae; Kim, Sun-Dong; Kim, Hak Joo; Kim, Sung Eun; Ji, Yunseong; Lee, Hyesung; Bang, Joonho; Lee, Kyu Hyoung; Lee, Seung Yong ⓘ Yonsei Univ, Dept Mat Sci & Engn, Seoul 03722, South Korea; Gyeongsang Natl Univ, Dept Mat Engn & Convergence Technol, Jinju 52828, South Korea; Kyungpook Natl Univ, Sch Nano & Mat Sci & Engn, Sangju 37224, South Korea; Hongik Univ, Dept Mat Sci & Engn, Sejong 30016, South Korea; Kunsan Natl Univ, Dept Phys, Gunsan 54150, South Korea; Korea Inst Ind Technol, Green Mat & Proc R&D Grp, Ulsan 44413, South Korea; Korea Inst Energy Res, 152 Gajeong ro, Daejeon 34129, South Korea; Yonsei Univ, Dept Chem & Biomol Engn, 50 Yonsei ro, Seoul 03722, South Korea; Yonsei Univ, KIURI Inst, Seoul 03722, South Korea; Gyeongsang Natl Univ, Sch Mat Sci & Engn, Jinju 52828, South Korea ⓘ ; Choi, Myung-Sik/J-5687-2012; Bang, Joonho/AFZ-9712-2022; Lee, Hyesung/KZV-1299-2024; Jin, Changhyun/P-9398-2015; 지, 윤성/GQA-8441-2022 ⓘ 58626870900; 58626871000; 58626837500; 58626805000; 57190737942; 35177895100; 57212924791; 57222518881; 56912891300; 35205685400; 8891464100; 35214871900; 58736810300; 56954013500; 57201631934; 56168055600; 35205856800; 57436380000 ⓘ bang@gnu.ac.kr;khlee2018@yonsei.ac.kr;lsy549@yonsei.ac.kr; ⓘ APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY ⓘ APPL CATAL B-ENVIRON ⓘ 0926-3373 1873-3883 343 SCIE CHEMISTRY, PHYSICAL;ENGINEERING, CHEMICAL;ENGINEERING, ENVIRONMENTAL ⓘ 2024 21.1 0.6 0.57 2025-05-07 ⓘ 4 4 Denitration; SOx tolerance; Selective catalytic reduction; Ni1_xVxWO4; Strongly correlated electron system ⓘ SELECTIVE CATALYTIC-REDUCTION; PERFORMANCE; RESISTANCE; OXYGEN; OXIDE ⓘ Denitration; Ni<sub>1−x</sub>V<sub>x</sub>WO<sub>4</sub>; Selective catalytic reduction; SO<sub>x</sub> tolerance; Strongly correlated electron system ⓘ Denitrification; Electrons; Nickel; Nickel compounds; Nitrogen removal; Vanadium; Charge gap; Charge state; DeNO x; Ni1−xVxWO4; NO x; Performance; Reaction under; SOx tolerance; Strong correlation; Strongly correlated electron system; Selective catalytic reduction ⓘ English 2024 2024-04 10.1016/j.apcatb.2023.123540 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ An error predict-correction formula of the load vector in the BSLM for solving three-dimensional Burgers' equations ⓘ This paper aims to develop an algorithm reducing the computational cost of the backward semi-Lagrangian method for solving nonlinear convection-diffusion equations. For this goal, we introduce an error predict -correction formula (EPCF) of the load term for the Helmholtz system. The EPCF is built up to involve the same values as solving the perturbed Cauchy problem, which allows the reuse of the values. These reuses dramatically reduce the computational cost by eliminating the interpolation processes to evaluate the load term in most computational domains. The algorithm also produces a stable solution, even where the original solution has a sharp gradient, by introducing an indicator to distinguish the sharpness of the solution. Furthermore, the proposed algorithm discusses fast solvers of the discrete systems for the perturbed Cauchy problem, for which we utilize an eigenvalue decomposition theory. To show the adaptability and efficiency of the proposed algorithm, we apply it to the convection- diffusion equations such as two and three-dimensional viscous Burgers' equations. Through several simulations, we confirm that the proposed algorithm for the load term radically reduces the computational cost, and the indicator for stiff components guarantees precision. ⓘ Park, Sangbeom; Jeon, Yonghyeon; Kim, Philsu; Bak, Soyoon ⓘ Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea; Hongik Univ, Mechatron Res Ctr, Sejong 30016, South Korea ⓘ Bak, Soyoon/HSE-8486-2023 ⓘ 57374873000; 57197815771; 7402334786; 56450371300 ⓘ piaoxf76@gmail.com;yhjeon@hongik.ac.kr;kimps@knu.ac.kr;jiya525@knu.ac.kr; ⓘ MATHEMATICS AND COMPUTERS IN SIMULATION ⓘ MATH COMPUT SIMULAT ⓘ 0378-4754 1872-7166 221 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;MATHEMATICS, APPLIED ⓘ 2024 4.4 0.7 0.49 2025-05-07 ⓘ 1 1 Backward semi-Lagrangian method; Error correction method; Nonlinear convection-diffusion equations; Viscous Burgers' equations ⓘ NUMERICAL-SIMULATION; SCHEMES ⓘ Backward semi-Lagrangian method; Error correction method; Nonlinear convection–diffusion equations; Viscous Burgers’ equations ⓘ Computation theory; Cost reduction; Diffusion; Eigenvalues and eigenfunctions; Lagrange multipliers; Nonlinear equations; Partial differential equations; Backward semi-lagrangian method; Cauchy problems; Computational costs; Correction formulas; Correction method; Error correction method; Errors correction; Nonlinear convection diffusion equation; Semi-Lagrangian methods; Viscous Burgers equation; Error correction ⓘ English 2024 2024-07 10.1016/j.matcom.2024.03.001 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Event-triggered control design with varying gains for polynomial fuzzy systems against DoS attacks ⓘ This paper presents an innovative event-triggered control scheme for addressing the stabilization problem of polynomial fuzzy systems under the influence of Denial-of-Service (DoS) attacks. The proposed controller utilizes a sampling-based event-triggered mechanism to reduce communi-cation resources and avoid Zeno behavior. Furthermore, a novel polynomial fuzzy model-based control system is developed to investigate the impact of periodic DoS attacks and the addressed event-triggered mechanism on system stability. To improve system performance, control gains are updated at each triggering instant. The exponential stability criteria are formulated in the form of sum-of-square constraints, supported by a triggering instant dependent piecewise Lyapunov-Krasovskii functional and an online asynchronous premise reconstruction approach. Finally, the efficiency and usefulness of the theoretical findings are validated through simulation examples. ⓘ Selvaraj, P.; Kwon, O. M.; Lee, S. H.; Sakthivel, R.; Lee, S. M. ⓘ Chungbuk Natl Univ, Sch Elect Engn, Cheongju 28644, South Korea; Bharathiar Univ, Dept Appl Math, Coimbatore 641046, India; Sungkyunkwan Univ, Dept Math, Seoul 440746, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea ⓘ P, SELVARAJ/AAP-3874-2021; Lee, Sangmoon/C-4502-2018; Rathinasamy, Sakthivel/AAD-6066-2019; Lee, Seunghoon/AAR-6570-2020 ⓘ 56579918800; 55444931800; 57200399573; 6701666350; 59510733500 ⓘ madwind@chungbuk.ac.kr;krsakthivel@buc.edu.in; ⓘ MATHEMATICS AND COMPUTERS IN SIMULATION ⓘ MATH COMPUT SIMULAT ⓘ 0378-4754 1872-7166 218 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;MATHEMATICS, APPLIED ⓘ 2024 4.4 0.7 0.49 2025-05-07 ⓘ 1 1 Polynomial fuzzy systems; Event-triggered controller; Denial-of-Service attack ⓘ STABILITY ANALYSIS; TRACKING CONTROL; MODELS ⓘ Denial-of-Service attack; Event-triggered controller; Polynomial fuzzy systems ⓘ Denial-of-service attack; Fuzzy systems; Lyapunov functions; Polynomials; Stability criteria; System stability; Communication resources; Control design; Control schemes; Denialof- service attacks; Event-triggered; Event-triggered controller; Event-triggered controls; Polynomial fuzzy systems; Sampling-based; Stabilization problems; Controllers ⓘ English 2024 2024-04 10.1016/j.matcom.2023.11.022 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning ⓘ The objective of few-shot learning is to design a system that can adapt to a given task with only few examples while achieving generalization. Model-agnostic meta-learning (MAML), which has recently gained the popularity for its simplicity and flexibility, learns a good initialization for fast adaptation to a task under few-data regime. However, its performance has been relatively limited especially when novel tasks are different from tasks previously seen during training. In this work, instead of searching for a better initialization, we focus on designing a better fast adaptation process. Consequently, we propose a new task-adaptive weight update rule that greatly enhances the fast adaptation process. Specifically, we introduce a small meta-network that can generate per-step hyperparameters for each given task: learning rate and weight decay coefficients. The experimental results validate that learning a good weight update rule for fast adaptation is the equally important component that has drawn relatively less attention in the recent few-shot learning approaches. Surprisingly, fast adaptation from random initialization with ALFA can already outperform MAML. Furthermore, the proposed weight-update rule is shown to consistently improve the task-adaptation capability of MAML across diverse problem domains: few-shot classification, cross-domain few-shot classification, regression, visual tracking, and video frame interpolation. ⓘ Baik, Sungyong; Choi, Myungsub; Choi, Janghoon; Kim, Heewon; Lee, Kyoung Mu ⓘ Hanyang Univ, Dept Data Sci, Seoul 04763, South Korea; Samsung Adv Inst Technol, Seoul 04763, South Korea; Kyungpook Natl Univ, Grad Sch Data Sci, Seoul 41566, South Korea; Soongsil Univ, Coll IT, Global Sch Media, Seoul 06978, South Korea; Seoul Natl Univ, Automat & Syst Res Inst ASRI, Dept Elect & Comp Engn, Seoul 08826, South Korea ⓘ Baik, Sungyong/GQQ-8663-2022; Kim, Heewon/GSM-9475-2022; Lee, Hyo-Suk/J-5618-2012 ⓘ 57216368459; 57204394822; 57202773325; 57195937107; 26642943400 ⓘ dsybaik@hanyang.ac.kr;cms6539@snu.ac.kr;ultio791@snu.ac.kr;ghimhw@snu.ac.kr;kyoungmu@snu.ac.kr; ⓘ IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE ⓘ IEEE T PATTERN ANAL ⓘ 0162-8828 1939-3539 46 3 SCIE COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC ⓘ 2024 18.6 0.7 6.74 2025-05-07 ⓘ 21 21 Task analysis; Optimization; Mathematical models; Adaptation models; Visualization; Training; Neural networks; Few-shot learning; MAML; meta-learning; video frame interpolation; visual tracking ⓘ ⓘ Few-shot learning; MAML; meta-learning; video frame interpolation; visual tracking ⓘ Job analysis; Learning systems; Neural networks; Adaptation models; Few-shot learning; Frame interpolation; Metalearning; Model-agnostic meta-learning; Neural-networks; Optimisations; Task analysis; Video frame; Video frame interpolation; Visual Tracking; Agnostic; article; attention; eye tracking; human; learning; videorecording; Interpolation ⓘ English 2024 2024-03 10.1109/tpami.2023.3261387 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Optimal region-specific social distancing strategies in a complex multi-patch model through reinforcement learning ⓘ Although non-pharmaceutical interventions such as social distancing have proven effective in curbing outbreaks, they also carry economic consequences. This poses a dilemma for policymakers striving to find a balance between disease control and economic burden. This delicate balance varies regionally, influenced by non-epidemiological factors such as population movements, socio-demographic characteristics, and the intricacies of social distancing policies. These factors interact in intricate ways, shaping the transmission dynamics of COVID-19. To address this complexity, we propose an innovative approach utilizing deep reinforcement learning (RL). This method assists in tailoring intervention policies for diverse regions, taking into account their unique dynamics. We incorporate South Korea's social distancing policies and their economic impact into a RL framework with a multi-region epidemic model, offering a comprehensive solution. We integrate official mobility data and GDP specific to each region, employing the proximity policy optimization algorithm to determine the most appropriate region-specific social distancing policy. The algorithm's reward function considers both outbreak control and economic impacts, providing policymakers with the flexibility to fine-tune the balance between these two factors according to their preferences. This adjustment can be performed across three distinct cost scenarios: High, Base, and Low-cost scenarios. In scenarios with High-costs, social distancing measures are aimed at regions with extensive connectivity and higher transmission rates. When costs are moderate, policies center around the period of peak prevalence, illustrating adaptable strategies in areas characterized by high transmission rates, budget limitations, and population mobility. In situations with Low-costs, these measures encompass most regions, excluding those with low transmission rates. The study's results support focused interventions in specific regions to balance outbreak control and economic impact mitigation. ⓘ Lee, Hyosun; Abdulali, Arsen; Park, Haeyoung; Lee, Sunmi ⓘ Kyung Hee Univ, Dept Appl Math, Yongin 17104, South Korea; Univ Cambridge, Dept Engn, Cambridge, England; Kyungpook Natl Univ, Coll Pharm, Daegu 41566, South Korea; Kyungpook Natl Univ, Res Inst Pharmaceut Sci, Daegu 41566, South Korea ⓘ ⓘ 58945861400; 57219637214; 57203771734; 55716483800 ⓘ sunmilee@khu.ac.kr; ⓘ MATHEMATICS AND COMPUTERS IN SIMULATION ⓘ MATH COMPUT SIMULAT ⓘ 0378-4754 1872-7166 226 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;MATHEMATICS, APPLIED ⓘ 2024 4.4 0.7 0.49 2025-05-07 ⓘ 2 1 COVID-19; Complex multi-patch model; Reinforcement learning (RL); PPO; Non-pharmaceutical intervention (NPI) ⓘ NEXT-GENERATION MATRICES ⓘ Complex multi-patch model; COVID-19; Non-pharmaceutical intervention (NPI); PPO; Reinforcement learning (RL) ⓘ Budget control; Costs; Deep learning; Disease control; Economic and social effects; Reinforcement learning; Complex multi-patch model; Economic impacts; High costs; Low-costs; Non-pharmaceutical intervention; Non-pharmaceutical interventions; Patch models; Policy makers; Reinforcement learning; Reinforcement learnings; COVID-19 ⓘ English 2024 2024-12 10.1016/j.matcom.2024.06.013 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ A nonlinear transient-dynamics approach to atopic dermatitis: Role of spontaneous remission ⓘ Atopic dermatitis (AD) is a common skin disease that can occur in all age groups. An intriguing phenomenon associated with AD is spontaneous remission, in which the symptoms can disappear even without any treatment, especially for patients at a young age. From the point of view of dynamical evolution, spontaneous remission in AD is a transient phenomenon. A clinic implication is that, if the transient time is short, then aggressive treatment may not be necessary. A key question is thus, statistically, how long the transient time can be? Due to the lack of clinic data, mathematical modeling is a viable approach to addressing this question. Modeling AD as a nonsmooth dynamical system and regarding the disease as a transient phenomenon with spontaneous remission marking the end of the transient, we obtain a quantitative understanding of the statistical characteristics of AD. In particular, we find that, depending on the immune state, two different types of transient behaviors can arise. For type -I spontaneous remission characterized by a healthy immune level with its skin state exhibiting mild oscillations, the transient time is short, which typically occurs in patients between infancy and childhood. In contrast, type -II spontaneous remission is characterized by a low immune level and its skin state exhibits severe oscillations with a long recovering time. Quantitatively, a scaling relation exists between the average transient time (or recovery time) and some key physiological parameters, revealing that the transient is superpersistent in the sense that its average lifetime can diverge in a drastic way: e infinity as a bifurcation parameter approaches a critical value. In this case, the disease is essentially permanent, thereby requiring and justifying active treatment. ⓘ Kang, Yoseb; Hwang, Jaewoo; Lai, Ying-Cheng; Choi, Hayoung; Do, Younghae ⓘ Kyungpook Natl Univ, Nonlinear Dynam & Math Applicat Ctr, Dept Math, Daegu 41566, South Korea; Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA; Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA ⓘ Do, Younghae/G-3522-2011; Choi, Hayoung/U-7046-2019 ⓘ 57325111200; 58815350800; 7401512359; 56942685000; 7103101109 ⓘ yhdo@knu.ac.kr; ⓘ CHAOS SOLITONS & FRACTALS ⓘ CHAOS SOLITON FRACT ⓘ 0960-0779 1873-2887 179 SCIE MATHEMATICS, INTERDISCIPLINARY APPLICATIONS;PHYSICS, MATHEMATICAL;PHYSICS, MULTIDISCIPLINARY ⓘ 2024 5.6 0.8 0 2025-05-07 ⓘ 0 1 Atopic dermatitis; Spontaneous remission; Superpersistent scaling ⓘ CHAOTIC TRANSIENTS; MULTISTABILITY; PREVALENCE; PHENOTYPES; BIRTH ⓘ Atopic dermatitis; Spontaneous remission; Superpersistent scaling ⓘ Dynamical systems; Patient treatment; Age groups; Atopic dermatitis; Dynamic approaches; Nonlinear transient dynamics; Scalings; Skin disease; Spontaneous remission; Superpersistent scaling; Transient phenomenon; Transient time; Physiological models ⓘ English 2024 2024-02 10.1016/j.chaos.2024.114464 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Amplifying mutational profiling of extracellular vesicle mRNA with SCOPE ⓘ Sequencing of messenger RNA (mRNA) found in extracellular vesicles (EVs) in liquid biopsies can provide clinical information such as somatic mutations, resistance profiles and tumor recurrence. Despite this, EV mRNA remains underused due to its low abundance in liquid biopsies, and large sample volumes or specialized techniques for analysis are required. Here we introduce Self-amplified and CRISPR-aided Operation to Profile EVs (SCOPE), a platform for EV mRNA detection. SCOPE leverages CRISPR-mediated recognition of target RNA using Cas13 to initiate replication and signal amplification, achieving a sub-attomolar detection limit while maintaining single-nucleotide resolution. As a proof of concept, we designed probes for key mutations in KRAS, BRAF, EGFR and IDH1 genes, optimized protocols for single-pot assays and implemented an automated device for multi-sample detection. We validated SCOPE’s ability to detect early-stage lung cancer in animal models, monitored tumor mutational burden in patients with colorectal cancer and stratified patients with glioblastoma. SCOPE can expedite readouts, augmenting the clinical use of EVs in precision oncology. © The Author(s), under exclusive licence to Springer Nature America, Inc. 2024. ⓘ Song, Jayeon; Cho, Mi Hyeon; Cho, Hayoung; Song, Younseong; Lee, Sung Woon; Nam, Ho Chul; Yoon, Tae Ho; Shin, Jong Cheol; Hong, Jae-Sang; Kim, Yejin; Ekanayake, Emil; Jeon, Jueun; You, Dong Gil; Im, Sung Gap; Choi, Gyu-Seog; Park, Jun Seok; Carter, Bob C.; Balaj, Leonora; Seo, An Na; Miller, Miles A.; Park, Soo Yeun; Kang, Taejoon; Castro, Cesar M.; Lee, Hakho ⓘ Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, Department of Forensic Sciences, Sungkyunkwan University, Suwon, South Korea, School of Pharmacy, Sungkyunkwan University, Suwon, South Korea; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea; RevoSketch, Inc., Daejeon, South Korea; RevoSketch, Inc., Daejeon, South Korea; RevoSketch, Inc., Daejeon, South Korea; RevoSketch, Inc., Daejeon, South Korea; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Research Institute of Aging and Metabolism, Kyungpook National University, Daegu, South Korea; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea; Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States; Department of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; School of Pharmacy, Sungkyunkwan University, Suwon, South Korea, Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, South Korea ⓘ ⓘ 57193558043; 59359924500; 59360243000; 57200192693; 58284390000; 59577674300; 58283589000; 59590582200; 56221159900; 57207443325; 58534037800; 56225644700; 55651356700; 14420979700; 8058759100; 58950735400; 59359924700; 35363640500; 59149846900; 55492785200; 40561578300; 12041363300; 37086975700; 35725732800 ⓘ castro.cesar@mgh.harvard.edu;hlee@mgh.harvard.edu;kangtaejoon@kribb.re.kr; ⓘ Nature Biotechnology ⓘ NAT BIOTECHNOL ⓘ 1087-0156 1546-1696 SCIE BIOTECHNOLOGY & APPLIED MICROBIOLOGY ⓘ 2024 41.7 0.8 1.31 2025-05-07 ⓘ 5 ⓘ ⓘ ⓘ Biopsy; Cell culture; Gene encoding; Lung cancer; Attomolar detection; Clinical information; Extracellular; Messenger RNA; Resistance profiles; RNA detection; Sample volume; Signal amplifications; Somatic mutation; Tumor recurrences; RNA ⓘ English Article in press 2024 10.1038/s41587-024-02426-6 ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ Automated signal-based evaluation of dynamic cone resistance via machine learning for subsurface characterization ⓘ Dynamic cone resistance (DCR) is a recently introduced soil resistance index that has the unit of stress. It is determined from the dynamic response at the tip of an instrumented dynamic cone penetrometer. However, DCR evaluation is generally a manual, time-consuming, and error-prone process. Thus, this study investigates the feasibility of determining DCR using a stacked ensemble (SE) machine learning (ML) model that utilizes signals obtained from dynamic cone penetration testing. Two ML experiments revealed that using only force signals provides more accurate predictions of DCR. In addition, the SE technique outperformed the base learning algorithms in both cases. Overall, the findings suggest that ML techniques can be used to automate the analysis of DCR with force and acceleration signals. ⓘ Aregbesola, Samuel Olamide; Byun, Yong-Hoon ⓘ Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu, South Korea ⓘ Aregbesola, Samuel/LXV-8805-2024; Byun, Yong-Hoon/JKI-8441-2023 ⓘ 58631316600; 42761048000 ⓘ yhbyun@knu.ac.kr; ⓘ COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING ⓘ COMPUT-AIDED CIV INF ⓘ 1093-9687 1467-8667 39 16 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL;TRANSPORTATION SCIENCE & TECHNOLOGY ⓘ 2024 9.1 0.8 0 2025-05-07 ⓘ 1 1 ⓘ PENETROMETER; STRENGTH ⓘ ⓘ Learning algorithms; Cone penetration testing; Cone resistance; Dynamic cone penetration; Dynamic cone penetrometer; Error-prone process; Force signal; Machine learning models; Machine-learning; Resistance index; Subsurface characterizations; acceleration; algorithm; automation; cone penetration test; dynamic response; force; machine learning; prediction; Machine learning ⓘ English 2024 2024-08 10.1111/mice.13294 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Comparative effectiveness of noninvasive therapeutic interventions for myofascial pain syndrome: a network meta-analysis of randomized controlled trials ⓘ Background:Myofascial pain syndrome (MPS) has an impact on physical health and quality of life for patients, with various noninvasive methods used for relieving myofascial pain. The authors aimed to compare the effectiveness of different noninvasive therapeutic interventions for MPS.Materials and methods:The authors searched PubMed, Embase, CINAHL Complete, Web of Science, Cochrane, and Scopus to identify randomized controlled trials describing the effects of any noninvasive treatments in patients with MPS. The primary outcome was pain intensity, while pressure pain threshold and pain-related disability were secondary outcomes.Results:The analysis included 40 studies. Manual therapy [mean difference (MD) of pain: -1.60, 95% CI: -2.17 to -1.03; MD of pressure pain threshold: 0.52, 95% CI: 0.19 to 0.86; MD of pain-related disability: -5.34, 95% CI: -8.09 to -2.58], laser therapy (MD of pain: -1.15, 95% CI: -1.83 to -0.46; MD of pressure pain threshold: 1.00, 95% CI: 0.46 to 1.54; MD of pain-related disability: -4.58, 95% CI: -7.80 to -1.36), extracorporeal shock wave therapy (MD of pain: -1.61, 95% CI: -2.43 to -0.78; MD of pressure pain threshold: 0.84, 95% CI: 0.33 to 1.35; MD of pain-related disability: -5.78, 95% CI: -9.45 to -2.12), and ultrasound therapy (MD of pain: -1.54, 95% CI: -2.24 to -0.84; MD of pressure pain threshold: 0.77, 95% CI: 0.31 to 1.22) were more effective than no treatment.Conclusion:Our findings support that manual therapy, laser therapy, and extracorporeal shock wave therapy could effectively reduce pain intensity, pressure pain threshold, and pain-related disability with statistical significance when compared with placebo. This finding may provide clinicians with appropriate therapeutic modalities for patients with MPS among different scenarios. ⓘ Liu, Chang; Wang, Yang; Yu, Wenli; Xiang, Junai; Ding, Guoyong; Liu, Weihua ⓘ Shandong First Med Univ & Shandong Acad Med Sci, Sch Nursing, Jinan, Shandong, Peoples R China; Shandong First Med Univ & Shandong Acad Med Sci, Sch Publ Hlth, Jinan, Shandong, Peoples R China; Tianjin First Ctr Hosp, Dept Anesthesiol, Tianjin, Peoples R China; Kyungpook Natl Univ, Sch Med, Cell & Matrix Res Inst, Dept Plast & Reconstruct Surg, Daegu, South Korea; Shandong First Med Univ & Shandong Acad Med Sci, Sch Nursing, 619 Changcheng Rd, Tai An 271016, Shandong, Peoples R China; Shandong First Med Univ & Shandong Acad Med Sci, Sch Publ Hlth, 6699 Qingdao Rd, Jinan 250117, Shandong, Peoples R China ⓘ ⓘ 59618324800; 58890572000; 36088207100; 58001265600; 55760272200; 57195527914 ⓘ lc1998liuchang@163.com;wy_406949779@qq.com;yzxyuwenli@163.com;1764262119@qq.com;dgy-153@163.com;wliu@sdfmu.edu.cn; ⓘ INTERNATIONAL JOURNAL OF SURGERY ⓘ INT J SURG ⓘ 1743-9191 1743-9159 110 2 SCIE SURGERY ⓘ 2024 10.1 0.8 5.86 2025-05-07 ⓘ 10 7 myofascial pain; network meta-analysis; noninvasive methods; systematic review ⓘ SHOCK-WAVE THERAPY; LEVEL LASER THERAPY; NECK PAIN; UPPER TRAPEZIUS; TRIGGER POINTS; DOUBLE-BLIND; NERVE-STIMULATION; INTENSITY LASER; THAI MASSAGE; BACK-PAIN ⓘ ⓘ Humans; Myofascial Pain Syndromes; Network Meta-Analysis; Pain Threshold; Quality of Life; Randomized Controlled Trials as Topic; human; myofascial pain; network meta-analysis; pain threshold; quality of life; randomized controlled trial (topic) ⓘ English 2024 2024-02 10.1097/js9.0000000000000860 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Comprehensive risk management of infectious diseases ⓘ The COVID-19 pandemic raised the need to prepare for the possibility of a new pandemic stemming from an unknown "Disease X."The extent to which an epidemic will spread depends on the complex interplay of various human and environmental factors. Previous studies focused on analyzing the effects of individual parameters on disease transmission. Based on empirical COVID-19 data from South Korea, we develop a comprehensive modeling framework incorporating the population density, inter-city human mobility, the location of the initial outbreak, social distancing, and mass gathering events, with the primary goal to assess the transmission risks at a quantitative level. Systematic computations reveal the emergence of a group structure among all possible spreading scenarios: they are organized into three distinct groups with well-defined boundaries. This group structure underscores the importance of individualized risk assessment strategies for cities based on their unique characteristics, leading to intervention policies tailored to their specific circumstances. ⓘ Hwang, Jaewoo; Lee, Hyojung; Lee, Sunmi; Jang, Bongsoo; Do, Younghae; Lai, Ying-Cheng ⓘ Kyungpook Natl Univ, Nonlinear Dynam & Math Applicat Ctr, Dept Math, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea; Kyung Hee Univ, Dept Appl Math, Yongin 17104, South Korea; Ulsan Natl Inst Sci & Technol, Dept Math Sci, Ulsan 44919, South Korea; Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA; Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA ⓘ ; Do, Younghae/G-3522-2011; Jang, Bongsoo/E-9076-2010 ⓘ 58815350800; 57196021198; 55716483800; 16068431400; 7103101109; 7401512359 ⓘ jaewoo7932@knu.ac.kr;hjlee@knu.ac.kr;bsjang@unist.ac.kr;yhdo@knu.ac.kr;ying-cheng.lai@asu.edu; ⓘ CHAOS SOLITONS & FRACTALS ⓘ CHAOS SOLITON FRACT ⓘ 0960-0779 1873-2887 188 SCIE MATHEMATICS, INTERDISCIPLINARY APPLICATIONS;PHYSICS, MATHEMATICAL;PHYSICS, MULTIDISCIPLINARY ⓘ 2024 5.6 0.8 0 2025-05-07 ⓘ 1 1 Risk management; Population density; Population mobility; Social distancing; Mass gathering events ⓘ KOLMOGOROV-SMIRNOV TEST; COVID-19; INTERVENTIONS ⓘ Mass gathering events; Population density; Population mobility; Risk management; Social distancing ⓘ Comprehensive risks; Disease transmission; Environmental factors; Group structure; Infectious disease; Mass gathering event; Population densities; Population mobility; Risks management; Social distancing; COVID-19 ⓘ English 2024 2024-11 10.1016/j.chaos.2024.115490 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Constraint-aware optimization model for plane truss structures via single-agent gradient descent ⓘ This study introduces the constraint-aware optimization model (CAOM), a novel optimization framework designed to optimize the size, shape, and topology of plane truss structures simultaneously. Unlike traditional optimization models, which rely on gradient descent and frequently struggle with managing various constraints due to their dependence on a single optimization agent, CAOM effectively addresses this challenge. It does so by incorporating a variety of assistant modules along with the Adam optimizer, a variant of the gradient descent method. Uniquely, CAOM employs the leaky rectified linear unit (ReLU) activation function beyond its conventional use in neural networks, applying it as a mechanism to integrate constraints and losses seamlessly. The model's effectiveness was validated through two numerical examples and a practical application, demonstrating that CAOM can reduce structural weight by up to 84% compared to unoptimized designs while fully adhering to structural, dimensional, and moveable constraints. Furthermore, the study found that while shape optimization plays a key role for stiffness-governed structures, size optimization is crucial for strength-governed structures. Optimizing size, shape, and topology together consistently leads to the most weight-efficient designs. This emphasizes the significance of a holistic approach in the optimization processes. ⓘ Park, Jun Su; Hong, Taehoon; Lee, Dong-Eun; Park, Hyo Seon ⓘ Yonsei Univ, Dept Architecture & Architectural Engn, Seoul 03722, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Engn Environm & Energy, Daegu, South Korea ⓘ Park, Jun Su/HTR-3899-2023 ⓘ 57161433100; 57969349700; 56605563300; 55669886900 ⓘ hspark@yonsei.ac.kr; ⓘ COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING ⓘ COMPUT-AIDED CIV INF ⓘ 1093-9687 1467-8667 39 18 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL;TRANSPORTATION SCIENCE & TECHNOLOGY ⓘ 2024 9.1 0.8 0.39 2025-05-07 ⓘ 1 1 ⓘ 2-PHASE GENETIC ALGORITHM; FRAME ROOF STRUCTURES; COST OPTIMIZATION; DESIGN; TOPOLOGY; SEARCH; SHAPE; SIZE ⓘ ⓘ Gradient methods; Shape optimization; Structural optimization; Trusses; Gradient Descent method; Gradient-descent; Linear units; Optimisations; Optimization framework; Optimization models; Optimizers; Plane truss; Single-agent; Truss structure; artificial neural network; design; linearity; numerical model; optimization; structural component; Topology ⓘ English 2024 2024-09 10.1111/mice.13226 ⓘ 바로가기 바로가기 바로가기 바로가기
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