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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 |
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| ○ | Meeting Abstract | REAL-WORLD EXPERIENCE OF ATEZOLIZUMAB PLUS BEVACIZUMAB COMBINATION TREATMENT IN HIGH-RISK PATIENTS WITH ADVANCED HEPATOCELLULAR CARCINOMA | Woo, Hyun Young; Hwang, Sangyoun; Heo, Jeong; Kim, Hyung Jun; Park, Young Joo; Yi, Ki Youn; Lee, Yu Rim; Park, Soo Young; Chung, Woo Jin; Jang, Byoung-Kuk; Tak, Won Young | Pusan Natl Univ, Coll Med, Dept Internal Med, Busan, South Korea; Pusan Natl Univ Hosp, Biomed Res Inst, Busan, South Korea; Dongnam Inst Radiol & Med Sci, Busan, South Korea; Dongnam Inst Radiol & Med Sci, Dept Internal Med, Busan, South Korea; Kyungpook Natl Univ, Sch Med, Daegu, South Korea; Keimyung Univ, Sch Med, Daegu, South Korea; Kyungpook Natl Univ, Coll Med, Daegu, South Korea | Heo, Jeong/MHQ-1390-2025 | HEPATOLOGY | HEPATOLOGY | 0270-9139 | 1527-3350 | 78 | SCIE | GASTROENTEROLOGY & HEPATOLOGY | 2023 | 13 | 4.5 | 0 | English | 2023 | 2023-10 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | The dark side of tournaments: Evidence from innovation performance | This study examines the effects of pay inequality within the top management team on firm innovation, which is considered a key driver for long-term firm performance and value. We discuss the competing theories of social comparison and tournament to develop hypotheses regarding the effects of pay disparity on innovation. Using the 12,762 firm-year observations from U.S. firms, we find that patent citations are negatively associated with pay disparity after controlling for a CEO's pay level and power. The results are robust to additional tests using a set of alternate measures of pay disparity and innovation, a subsample of patenting-active firms, an instrumental variable approach, and a matched sample analysis. The findings support the behavioral perspective that a large pay disparity is detrimental to cooperation among executives, which is essential for successful innovation processes. Our findings will be of interest to policymakers in the ongoing policy debate on pay inequality on firm operations. | Kim, Jonghwan (Simon); Koo, KwangJoo (KJ) | Yonsei Univ, Sch Business, Seoul, South Korea; Kyungpook Natl Univ, Coll Econ & Business Adm, Daegu, South Korea; Kyungpook Natl Univ, 80,Daehak Ro, Daegu, South Korea | Kim, Jonghwan/D-2639-2015; Koo, KwangJoo/AAM-6949-2020 | 57216931696; 57202687309 | kjkoo@knu.ac.kr; | RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE | RES INT BUS FINANC | 0275-5319 | 1878-3384 | 66 | SSCI | BUSINESS, FINANCE | 2023 | 6.3 | 4.5 | 0.16 | 2025-06-25 | 2 | 1 | Pay inequality; Innovation; Top management team; Social comparison; Tournament | RANK-ORDER TOURNAMENTS; CEO PAY GAP; TOP-MANAGEMENT; EXECUTIVE PAY; CORPORATE GOVERNANCE; FIRM; INCENTIVES; DISPERSION; COMPENSATION; PRODUCTIVITY | Innovation; Pay inequality; Social comparison; Top management team; Tournament | English | 2023 | 2023-10 | 10.1016/j.ribaf.2023.102003 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Confocal nonlinear optical imaging on hexagonal boron nitride nanosheets | Optical microscopy with optimal axial resolution is critical for precise visualization of two-dimensional flat-top structures. Here, we present sub-diffraction-limited ultrafast imaging of hexagonal boron nitride (hBN) nanosheets using a confocal focus- engineered coherent anti-Stokes Raman scattering (cFE-CARS) microscopic system. By incorporating a pinhole with a diameter of approximately 30 mu m, we effectively minimized the intensity of side lobes induced by circular partial pi-phase shift in the wavefront (diameter, d(0)) of the probe beam, as well as nonresonant background CARS intensities. Using axial-resolution-improved cFE-CARS (acFE-CARS), the achieved axial resolution is 350 nm, exhibiting a 4.3-folded increase in the signal-to-noise ratio compared to the previous case with 0.58 d0 phase mask. This improvement can be accomplished by using a phase mask of 0.24 d(0). Additionally, we employed nondegenerate phase matching with three temporally separable incident beams, which facilitated cross-sectional visualization of highly-sample-specific and vibration-sensitive signals in a pump-probe fashion with subpicosecond time resolution. Our observations reveal time- dependent CARS dephasing in hBN nanosheets, induced by Raman-free induction decay (0.66 ps) in the 1373cm(-1) mode. | Lee, Gwanjin; Jyothsna, Konkada Manattayil; Park, Jonghoo; Lee, Jaedong; Raghunathan, Varun; Kim, Hyunmin | DGIST, Dept Phys & Chem, Daegu 42988, South Korea; Indian Inst Sci, Dept Elect Commun Engn, Bangalore, India; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; DGIST, Div Biotechnol, Daegu 42988, South Korea; DGIST, Dept Interdisciplinary Engn, Daegu 42988, South Korea | Kim, Hyunmin/D-2875-2011 | 57759986400; 57211120709; 57196408322; 55689995600; 7006419981; 57192552925 | hyunmin.kim@dgist.ac.kr; | PHOTONIX | PHOTONIX | 2662-1991 | 4 | 1 | SCIE | OPTICS | 2023 | 15.7 | 4.6 | 0.87 | 2025-06-25 | 5 | 6 | Hexagonal boron nitride nanosheets; Sub-diffraction-limited nonlinear optical microscopy; Coherent anti-Stokes Raman spectroscopy; 2D materials; Ultrafast phonon dynamics | STOKES-RAMAN SCATTERING; SINGLE-PHOTON EMISSION; POINT-DEFECTS; GRAPHENE; SPECTROSCOPY; POLARITONS; MICROSCOPY; DYNAMICS | 2D materials; Coherent anti-Stokes Raman spectroscopy; Hexagonal boron nitride nanosheets; Sub-diffraction-limited nonlinear optical microscopy; Ultrafast phonon dynamics | Coherent scattering; Diffraction; III-V semiconductors; Nanosheets; Near field scanning optical microscopy; Nitrides; Nonlinear optics; Optical data storage; Probes; Raman scattering; Raman spectroscopy; Signal to noise ratio; Visualization; 2d material; Boron nitride nanosheets; Coherent anti-stokes Raman spectroscopy; Diffraction limited; Hexagonal boron nitride nanosheet; Nonlinear optical microscopy; Phonon dynamics; Sub-diffraction; Sub-diffraction-limited nonlinear optical microscopy; Ultrafast phonon dynamic; Ultrafast phonons; Phase matching | English | 2023 | 2023-08-28 | 10.1186/s43074-023-00103-6 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Feasibility of wear reduction for soft nanostructured thin film through enhanced elastic recoverability and contact stress relief | This work shows that a soft, thin film comprising randomly aligned carbon nanotubes (CNTs) can reduce surface wear more effectively than a homogeneous thin film because of enhanced elastic recoverability and contact stress relief originating from its mesh structure. To investigate the wear characteristics of the mesh structure compared to those of the homogeneous thin film, multi-walled CNTs (MVVCNTs) and diamond-like carbon (DLC) thin films were prepared to conduct nanoscale tribological experiments using the atomic force microscopy (AFM). The MWCNT thin film showed unmeasurably low wear compared with the DLC thin film under a certain range of normal load. To demonstrate the wear reduction mechanism of the MWCNT thin film, its indentation and frictional behaviors were assessed. The indentation behavior of the MWCNT thin film revealed repetitive elastic deformation with a wide strain range and a significantly lower elastic modulus than that of the DLC thin film. The permanent deformation of the MWCNT thin film was observed through frictional experiments under relatively high normal load conditions. These results are expected to provide insights into the design of highly wear-resistant surfaces using nanostructures. | Seo, Kuk-Jin; Kim, Hyun-Joon; Kim, Dae-Eun | Yonsei Univ, Dept Mech Engn, Seoul 03722, South Korea; Kyungpook Natl Univ, Dept Precis Mech Engn, Sangju 37224, South Korea; Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | 57189899261; 56766313200; 25647956200 | hjoonkim@knu.ac.kr;kimde@yonsei.ac.kr; | FRICTION | FRICTION | 2223-7690 | 2223-7704 | 11 | 7 | SCIE | ENGINEERING, MECHANICAL | 2023 | 6.3 | 4.6 | 0.37 | 2025-06-25 | 3 | 3 | carbon nanotube (CNT); thin film; wear; friction; elastic recovery | CARBON NANOTUBES; TRIBOLOGICAL CHARACTERISTICS; MECHANICAL-PROPERTIES; DLC COATINGS; SCALE WEAR; RESISTANCE; PERFORMANCE; COMPONENTS; CORROSION; ZIRCONIA | carbon nanotube (CNT); elastic recovery; friction; thin film; wear | Carbon films; Diamond like carbon films; Friction; Mesh generation; Multiwalled carbon nanotubes (MWCN); Stress relief; Thin films; Topography; Carbon nanotube; Contact Stress; Diamond-like carbon thin films; Elastic recovery; Homogeneous thin film; Multi-walled CNT; Multi-walled CNTs; Recoverability; Thin-films; Wear reduction; Wear of materials | English | 2023 | 2023-07 | 10.1007/s40544-022-0669-7 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Letter | RE: The Efficacy and Safety of SGLT2 Inhibitor in Kidney Transplant Recipients With Diabetes | Lim, Jeong-Hoon; Cho, Jang-Hee | Kyungpook Natl Univ, Sch Med, Dept Internal Med, Daegu, South Korea; Kyungpook Natl Univ, Dept Internal Med, Div Nephrol, Sch Med, Dongdeok Ro 130, Daegu 41944, South Korea | Lim, Jeong-Hoon/ABE-6003-2020 | 55360244300; 7403536291 | jh-cho@knu.ac.kr; | TRANSPLANTATION | TRANSPLANTATION | 0041-1337 | 1534-6080 | 107 | 3 | SCIE | IMMUNOLOGY;SURGERY;TRANSPLANTATION | 2023 | 5.5 | 4.6 | 0 | 2025-06-25 | 0 | 0 | EMPAGLIFLOZIN | Diabetes Mellitus, Type 2; Humans; Hypoglycemic Agents; Kidney Transplantation; Sodium-Glucose Transporter 2 Inhibitors; Transplant Recipients; canagliflozin; glucose; hemoglobin A1c; metformin; sodium glucose cotransporter 2 inhibitor; tacrolimus; antidiabetic agent; antidiabetic activity; chronic kidney failure; clinical effectiveness; diabetes mellitus; drug efficacy; drug safety; end stage renal disease; estimated glomerular filtration rate; glycemic control; human; kidney transplantation; knowledge; Letter; mortality; non insulin dependent diabetes mellitus; propensity score; randomized controlled trial (topic); secondary prevention; graft recipient | English | 2023 | 2023-03 | 10.1097/tp.0000000000004471 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Real-world data of long-term survival in patients with T-cell lymphoma who underwent stem cell transplantation | This study aimed to identify the benefits of autologous-stem cell transplantation (auto-SCT) and allogeneic-SCT (allo-SCT) in patients with aggressive T-cell lymphomas to aid in the selection of transplantation type in clinical practice. This study retrospectively analyzed data from 598 patients who underwent transplantation for T-cell lymphomas from 2010 to 2020. In total, 317 patients underwent up-front SCT as consolidation therapy. The 3-year progression-free survival (PFS) and overall survival (OS) were 68.7% and 76.1%, respectively. Patients who underwent auto-SCT had significantly better OS (p = 0.026) than those who underwent allo-SCT; however, no statistical difference in PFS was found. Transplantation was used as a salvage therapy in 188 patients who had relapsed/refractory disease. Overall, 96 (51.1%) patients underwent auto-SCT and 92 (48.9%) patients underwent allo-SCT. Auto-SCT improved long-term survival in patients with complete remission (CR). Allo-SCT demonstrated better 3-year PFS in patients with partial remission and relapsed/refractory disease status. However, >50% of patients died within 1 year of allo-SCT. As a consolidative therapy, up-front auto-SCT demonstrated a survival benefit. Auto-SCT was also effective in patients who achieved CR after salvage therapy. If the disease persists or cannot be controlled, allo-SCT may be considered with reduced intensity conditioning. | Baek, Dong Won; Moon, Joon Ho; Lee, Jae Hoon; Kang, Ka-Won; Lee, Ho Sup; Eom, Hyeon-Seok; Lee, Enuyoung; Lee, Ji Hyun; Lee, Jeong-Ok; Park, Seong Kyu; Kim, Seok Jin; Yoo, Keon Hee; Yoon, Sung-Soo; Koh, Youngil; Kang, Hyoung Jin; Won, Jong-Ho; Lyu, Chuhl Joo; Hahn, Seung Min; Lee, Jung-Hee; Park, Joon Seong; Jo, Jae-Cheol; Mun, Yeung-Chul; Yang, Deok-Hwan; Song, Ga-Young; Lim, Sung-Nam; Sohn, Sang Kyun | Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Hematol Oncol, Daegu, South Korea; Gachon Univ, Hematol, Gil Med Ctr, Incheon, South Korea; Korea Univ, Dept Internal Med, Div Hematol Oncol, Coll Med, Seoul, South Korea; Kosin Univ, Gospel Hosp, Dept Internal Med, Div Hematol,Coll Med, Pusan, South Korea; Natl Canc Ctr, Ctr Hematol Malignancy, Seoul, South Korea; Dong A Univ, Dept Internal Med, Div Hematol Oncol, Coll Med, Busan, South Korea; Seoul Natl Univ, Coll Med, Dept Internal Med, Bundang Hosp, Seoul, South Korea; Soonchunhyang Univ, Dept Internal Med, Div Hematol Oncol, Bucheon Hosp, Bucheon, South Korea; Sungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Hematol Oncol,Sch Med, Seoul, South Korea; Sungkyunkwan Univ, Samsung Med Ctr, Dept Pediat, Sch Med, Seoul, South Korea; Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea; Seoul Natl Univ, Seoul Natl Univ Canc Res Inst, Seoul Natl Univ Childrens Hosp, Dept Pediat,Coll Med, Seoul, South Korea; Soonchunhyang Univ, Dept Internal Med, Div Hematol Oncol, Seoul Hosp, Seoul, South Korea; Yonsei Univ, Severance Hosp, Dept Pediat Hematol Oncol, Seoul, South Korea; Univ Ulsan, Asan Med Ctr, Dept Hematol, Coll Med, Seoul, South Korea; Ajou Univ, Dept Hematol Oncol, Sch Med, Suwon, South Korea; Univ Ulsan, Ulsan Univ Hosp, Dept Hematol & Oncol, Coll Med, Ulsan, South Korea; Ewha Womans Univ, Dept Internal Med, Sch Med, Seoul, South Korea; Chonnam Natl Univ, Hwasun Hosp, Dept Hematol Oncol, Sch Med, Hwasun, Jeonranamdo, South Korea; Inje Univ, Haeundae Paik Hosp, Dept Internal Med, Div Hematol Oncol,Coll Med, Busan, South Korea | Lee, Jeong/JFA-4725-2023; Hahn, Seung min/MBH-8374-2025; Jo, Jae-Cheol/CAE-9453-2022; Park, Jung Hoon/CZZ-0090-2022; Kang, Ka-Won/HKW-8137-2023; KIM, JIN/I-6927-2019; Lee, Jong-Seok/J-5603-2012; Won, Jongho/AAM-8322-2021 | 57191874272; 56568642700; 56013463700; 56222629500; 57218103550; 35268272400; 58601330700; 56813113800; 40361307900; 57077159400; 36521373300; 35304229600; 7404036304; 56450114900; 7404071502; 26434081600; 7004643628; 56645629700; 57196140713; 57685470700; 35818309200; 7003363716; 8701758000; 57193027251; 24831618100; 13310226800 | sksohn@knu.ac.kr; | BLOOD CANCER JOURNAL | BLOOD CANCER J | 2044-5385 | 13 | 1 | SCIE | HEMATOLOGY;ONCOLOGY | 2023 | 12.9 | 4.6 | 0.91 | 2025-06-25 | 6 | 7 | ALLOGENEIC TRANSPLANTATION; REMISSIONS; THERAPY; RELAPSE; COHORT | Disease-Free Survival; Hematopoietic Stem Cell Transplantation; Humans; Lymphoma, T-Cell; Retrospective Studies; Stem Cell Transplantation; Transplantation, Autologous; Transplantation, Homologous; Treatment Outcome; cyclophosphamide; doxorubicin; etoposide; prednisone; vincristine; adult; ALK-negative anaplastic large cell lymphoma; allogeneic stem cell transplantation; angioimmunoblastic T cell lymphoma; Article; autologous stem cell transplantation; cancer chemotherapy; cancer mortality; cancer recurrence; cancer regression; cause of death; clinical outcome; consolidation chemotherapy; controlled study; cumulative incidence; disease exacerbation; enteropathy associated T cell lymphoma; extranodal nasal NK/T cell lymphoma; female; first-line treatment; follow up; graft versus host reaction; histopathology; human; human tissue; infection; long term survival; major clinical study; male; middle aged; myeloablative conditioning; overall survival; peripheral T cell lymphoma; peripheral t cell lymphoma not otherwise specified; progression free survival; recurrence risk; reduced intensity conditioning; refractory disease; retrospective study; salvage therapy; T cell lymphoma; treatment response; whole body radiation; young adult; allotransplantation; autotransplantation; disease free survival; hematopoietic stem cell transplantation; stem cell transplantation; T cell lymphoma; treatment outcome | English | 2023 | 2023-06-26 | 10.1038/s41408-023-00868-w | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Three-dimensional reconstructing undersampled photoacoustic microscopy images using deep learning | Spatial sampling density and data size are important determinants of the imaging speed of photoacoustic mi-croscopy (PAM). Therefore, undersampling methods that reduce the number of scanning points are typically adopted to enhance the imaging speed of PAM by increasing the scanning step size. Since undersampling methods sacrifice spatial sampling density, by considering the number of data points, data size, and the char-acteristics of PAM that provides three-dimensional (3D) volume data, in this study, we newly reported deep learning-based fully reconstructing the undersampled 3D PAM data. The results of quantitative analyses demonstrate that the proposed method exhibits robustness and outperforms interpolation-based reconstruction methods at various undersampling ratios, enhancing the PAM system performance with 80-times faster-imaging speed and 800-times lower data size. The proposed method is demonstrated to be the closest model that can be used under experimental conditions, effectively shortening the imaging time with significantly reduced data size for processing. | Seong, Daewoon; Lee, Euimin; Kim, Yoonseok; Han, Sangyeob; Lee, Jaeyul; Jeon, Mansik; Kim, Jeehyun | Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Inst Biomed Engn, Sch Med, Daegu 41566, South Korea; Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90095 USA | Lee, Junsoo/IUO-9627-2023 | 57212512353; 57223052911; 57216828837; 57193695305; 57188689420; 24171094000; 7601373350 | msjeon@knu.ac.kr;jeehk@knu.ac.kr; | PHOTOACOUSTICS | PHOTOACOUSTICS | 2213-5979 | 29 | SCIE | ENGINEERING, BIOMEDICAL;INSTRUMENTS & INSTRUMENTATION;RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | 2023 | 7.1 | 4.6 | 4.11 | 2025-06-25 | 20 | 22 | Photoacoustic microscopy; Deep learning; Undersampled image; Sparse sampling; Three-dimensional reconstruction | Deep learning; Photoacoustic microscopy; Sparse sampling; Three-dimensional reconstruction; Undersampled image | Data handling; Deep learning; Image reconstruction; Photoacoustic microscopy; Data size; Deep learning; Imaging speed; Sampling densities; Sparse sampling; Spatial sampling; Three-dimensional reconstruction; Under sampled; Under-sampling; Undersampled images; Compressed sensing | English | 2023 | 2023-02 | 10.1016/j.pacs.2022.100429 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | An interactive design change methodology using a BIM-based Virtual Reality and Augmented Reality | Changes in design and construction constitute variations from the original design prepared by a design team and are inevitable. Despite the fact that rework has been identified as having adverse effects on performance, there have been limited studies on how to mitigate rework in design changes. Despite improving change management, Building Information Modeling (BIM) is insuf-ficient in mitigating rework. However, the convergence of the capabilities of BIM, Virtual Reality (VR), and Augmented Reality (AR) are integrated solutions to reduce the impact of rework in de-sign change. In this research, we improve the requirements for reworking design changes, which include redesign, information flow, and delivery for users with no experience with BIM. For inter-active design change with BIM in VR and AR, the proposed methodology integrates BIM, as-built data from web sources, and VR and AR functions using game engines and programming. In VR and AR, BIM objects are used to create multiple variants that are matched with BIM databases that provide options for design changes. The interactive design change platform is validated in a VR and AR environment and presented multiple design change options for wall elements based on a set required change factor of a building project. This paper highlights the need for a change platform that reduces the rework of design changes in BIM through VR and AR in three main ar-eas redesign, maintaining the flow of information and delivery of solutions for design changes. The VR and AR proposed solution to design change improves rework collaboration and communi-cation among stakeholders of a building project. | Panya, David Stephen; Kim, Taehoon; Choo, Seungyeon | Kyungpook Natl Univ, Sch Architecture, Daegu, South Korea | ; Choo, Seungyeon/JFB-0390-2023 | 57210791927; 58260945000; 36835366900 | david.panya@gmail.com;thlouiskim@gmail.com;choo@knu.ac.kr; | JOURNAL OF BUILDING ENGINEERING | J BUILD ENG | 2352-7102 | 68 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 6.7 | 4.7 | 5.9 | 2025-06-25 | 34 | 46 | Building information modeling; Virtual reality; Augmented reality; Change management | CONSTRUCTION; REWORK; MODEL | Augmented reality; Building information modeling; Change management; Virtual reality | Architectural design; Information theory; Virtual reality; Adverse effect; Building Information Modelling; Building projects; Change management; Design and construction; Design change; Design team; Interactive design; Model-based OPC; Original design; Augmented reality | English | 2023 | 2023-06-01 | 10.1016/j.jobe.2023.106030 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Compressive strength prediction of ternary-blended concrete using deep neural network with tuned hyperparameters | Studies have been conducted to predict the compressive strength of ternary-blended concrete using regression models, such as support vector regression (SVR), random forest (RF), and artificial neural networks. In particular, deep neural networks (DNNs) are one of the most effective nonlinear regression models for predicting compressive strength based on the intricate relationships among constituent materials. However, because the DNN depends on training data, previous studies presented different varieties of ternary-blended concrete, suggesting that appropriate training is required. In addition, the analysis of optimal hyperparameter processes to ensure model performance has not been conducted extensively. This study established appropriate DNN models tuned with hyperparameters to effectively predict the compressive strength of ternaryblended concrete. The dataset used in this study was a set of 775 on-site mix proportions of ternary-blended concrete provided by a ready-mix concrete company in South Korea. Water, cement, fine aggregate, coarse aggregate, fly ash, blast furnace slag, curing temperature, and curing humidity were the inputs, and the compressive strength was set as the output. The basic statistical characteristics of the data used and the performance evaluation (mean square error [MSE] and mean absolute error [MAE]) of 15 models with hidden layers and units as variables were analyzed to determine the network architecture. Based on the model with the selected structure, hyperparameter tuning (batch size, dropout, and batch normalization) was applied to improve the performance of the DNN model. The advanced DNN model exhibited 18% lower MAE losses and 27% lower MSE losses than the conventional DNN model. In addition, based on the MAE losses and MSE losses, the advanced DNN model showed 4% and 12% lower errors than those of SVR, and 11% and 15% lower errors than those of RF, indicating that the DNN model with hyperparameter tuning performed better than the other models. | Choi, Ju-Hee; Kim, Dongyoun; Ko, Min-Sam; Lee, Dong-Eun; Wi, Kwangwoo; Lee, Han-Seung | Hanyang Univ, Dept Appl Artificial Intelligence, 1271 Sa 3-dong, Ansan 15588, South Korea; Hanyang Univ, Dept Smart City Engn, 1271 Sa 3-dong, Ansan 15588, South Korea; Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA; Hanyang Univ, Dept ICT, 1271 Sa 3-dong, Ansan 15588, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy, 1370, Sangyegk-Dong, Daegu 702701, South Korea; Hanyang Univ, Innovat Durable Bldg & Infrastruct Res Ctr, 1271 Sa3-dong, Ansan 15588, South Korea; Hanyang Univ, Dept Architectural Engn, 1271 Sa 3-dong, Ansan 15588, South Korea | Lee, Han-Seung/E-9087-2013; Lee, HanSeung/E-9087-2013 | 58312205000; 58310841400; 37104441600; 56605563300; 57217960605; 57956643400 | wpo1004@hanyang.ac.kr;dongyoun@iastate.edu;minsam@hanyang.ac.kr;dolee@knu.ac.kr;wkw6410@hanyang.ac.kr;ercleehs@hanyang.ac.kr; | JOURNAL OF BUILDING ENGINEERING | J BUILD ENG | 2352-7102 | 75 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 6.7 | 4.7 | 3.35 | 2025-06-25 | 20 | 26 | Deep neural network; Concrete; Compressive strength; Mix proportion; Hyperparameter tuning | HEAT-PUMP SYSTEM; HIGH-PERFORMANCE CONCRETE; CROSS-VALIDATION; DESIGN; CLASSIFICATION; OPTIMIZATION; SERIES; MODEL | Compressive strength; Concrete; Deep neural network; Hyperparameter tuning; Mix proportion | Blast furnaces; Concrete aggregates; Concrete mixtures; Curing; Deep neural networks; Errors; Fly ash; Forecasting; Mean square error; Network architecture; Neural network models; Regression analysis; Slags; Concrete; Hyper-parameter; Hyperparameter tuning; Mean absolute error; Means square errors; Mix proportions; Neural network model; Random forests; Support vector regressions; Ternary blended concretes; Compressive strength | English | 2023 | 2023-09-15 | 10.1016/j.jobe.2023.107004 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Determining the effect of superabsorbent polymers, macrofibers, and resting time on the rheological properties of cement mortar using analysis of variance (ANOVA): A 3D printing perspective | This study aims to analyze the effect of SAP dosage, presence of macrofibers, and resting time on the rheological properties of cement mortar. Accordingly, we measured the static yield stress, equilibrium shear stress, thixotropic area, and nonlinearity (shear thinning/thickening) using a rheometer, and analysis of variance (ANOVA) was utilized to statistically analyze whether each factor (explanatory variable) has any effect on rheological properties (response variable) at the 95% confidence level. The results demonstrated that while equilibrium shear stress and thixotropic area are influenced by SAP dosage, presence of macrofibers, and resting time at a statistically significant level, static yield stress is influenced by SAP dosage and resting time. In contrast, material nonlinearity is only influenced by SAP dosage at a statistically significant level. In addition, statistical models for the rheological properties of cement mortar with SAP and macrofibers were proposed using only the factors selected by ANOVA. The prediction models were found to have a high R2 of more than 0.9 on average, excluding nonlinearity. The findings of this study can serve as basic data for determining suitable mixtures for 3D printing concrete incorporating SAP and macrofibers. | Oh, Sangwoo; Hong, Geuntae; Choi, Seongcheol | Chung Ang Univ, Dept Civil & Environm Engn, 84 Heukseok Ro, Seoul 06974, South Korea; Kyungpook Natl Univ, Dept Civil Engn, 80 Daehak Ro, Daegu 41566, South Korea | ; Hong, Geuntae/AAM-8586-2020; Choi, Seongcheol/AAV-1413-2020 | 57223979407; 57193714827; 35221260900 | schoi@cau.ac.kr; | JOURNAL OF BUILDING ENGINEERING | J BUILD ENG | 2352-7102 | 75 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 6.7 | 4.7 | 1.07 | 2025-06-25 | 6 | 8 | 3D printing concrete; Analysis of variance (ANOVA); Macrofibers; Rheology; Superabsorbent polymers (SAP) | SHEAR-THICKENING RESPONSE; CONCRETE; THIXOTROPY; VISCOSITY; FRESH | 3D printing concrete; Analysis of variance (ANOVA); Macrofibers; Rheology; Superabsorbent polymers (SAP) | 3D printing; Cements; Concrete mixtures; Mortar; Rheology; Shear flow; Shear thinning; Yield stress; 3-D printing; 3d printing concrete; 3D-printing; Analyse of variance; Cement mortars; Macrofibers; Polymer dosage; Rheological property; Superabsorbent polymer; Shear stress | English | 2023 | 2023-09-15 | 10.1016/j.jobe.2023.106967 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Floor plan recommendation system using graph neural network with spatial relationship dataset | The purpose of this study was to develop a recommendation system that, in the pre-design phase, quickly and easily search adequate floor plans satisfying the client requirements about the spatial relationship type using artificial intelligence (AI) technology. In this study using a graph dataset representing the spatial relationship between entities, we propose a deep neural network approach using SimGNN and shallow networks with teacher-student learning to compute graph similarity, measured by graph edit distance, fast and accurately during the search operation in the recommendation system. The prediction errors between the GED score (ground truth) and the predicted score were small enough to employ the neural networks for the recommendation system instead of using GED, which takes a long calculation time. The proposed recommendation systems based deep networks also suggested floor plans satisfying given conditions on the spatial relationship with high accuracy. | Park, Hyejin; Suh, Hyegyo; Kim, Jaeil; Choo, Seungyeon | Kyungpook Natl Univ, Sch Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | ; Choo, Seungyeon/JFB-0390-2023 | 57226002455; 58183269500; 57211615348; 36835366900 | choo@knu.ac.kr; | JOURNAL OF BUILDING ENGINEERING | J BUILD ENG | 2352-7102 | 71 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 6.7 | 4.7 | 1.88 | 2025-06-25 | 10 | 14 | Recommendation system; Spatial relationship dataset; Graph neural network (GNN); House floor plan; Case study | Case study; Graph neural network (GNN); House floor plan; Recommendation system; Spatial relationship dataset | Deep neural networks; Floors; Graph neural networks; Recommender systems; Artificial intelligence technologies; Case-studies; Client requirement; Design phase; Floorplans; Graph neural network; Graph neural networks; House floor plan; Spatial relationship dataset; Spatial relationships; Pattern matching | English | 2023 | 2023-07-15 | 10.1016/j.jobe.2023.106378 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Formation mechanism and characteristics of Au-Sn-O and Sn-O nanocompounds with various band gaps through flame chemical vapor deposition process | After forming the double layer of SnO2 and Au, the compound of Sn and O with mul-tiple band gaps was formed in a short time period via flame chemical vapor deposition (FCVD). The Sn component of SnO2 has fluidity and is the only one moving to the discrete Au side and leav-ing O behind. The capillarity of Sn allows it to form a unique structure with Au-Sn-O nanoparticles and amorphous Sn-O nanotubes of multiple compositions in a single process. For verification, the gradual morphological, crystallographic, compositional, and optical changes in the material were sequentially presented as per the degree of FCVD.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/). | Choi, Myung Sik; Na, Han Gil; Choi, Sun-Woo; Lee, Kyu Hyoung; Jin, Changhyun | Kyungpook Natl Univ, Sch Nano & Mat Sci & Engn, Sangju 37224, South Korea; UDerive, 201 16 Baekbeom Ro 630 Beon Gil, Incheon 22824, South Korea; Kangwon Natl Univ, Dept Mat Sci & Engn, Samcheok 25913, South Korea; Yonsei Univ, Dept Mat Sci & Engn, Seoul 03722, South Korea | Choi, Myung-Sik/J-5687-2012; Jin, Changhyun/P-9398-2015 | 55665227300; 36450536300; 35106725800; 35205856800; 35177895100 | csw0427@kangwon.ac.kr;khlee2018@yonsei.ac.kr;z8015026@yonsei.ac.kr; | ALEXANDRIA ENGINEERING JOURNAL | ALEX ENG J | 1110-0168 | 2090-2670 | 69 | SCIE | ENGINEERING, MULTIDISCIPLINARY | 2023 | 6.2 | 4.7 | 0 | 2025-06-25 | 0 | 0 | GROWTH-MECHANISM; NANOWIRES; NANOPARTICLES; TEMPERATURE; PERFORMANCE; PHOTOLUMINESCENCE; SEMICONDUCTOR; ENHANCEMENT; TRANSITION; OXIDES | Energy gap; Gold compounds; Tin; Chemical vapor deposition process; Chemical vapour deposition; Double layers; Formation characteristics; Formation mechanism; Multiple-band; Nanocompounds; Optical-; Single process; Time-periods; Chemical vapor deposition | English | 2023 | 2023-04-15 | 10.1016/j.aej.2023.02.009 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | GDNF family receptor alpha-like antagonist antibody alleviates chemotherapy-induced cachexia in melanoma-bearing mice | BackgroundPatients with cancer undergoing chemotherapy experience cachexia with anorexia, body weight loss, and the depletion of skeletal muscles and adipose tissues. Effective treatment strategies for chemotherapy-induced cachexia are scarce. The growth differentiation factor 15 (GDF15)/GDNF family receptor alpha-like (GFRAL)/rearranged during transfection (RET) axis is a critical signalling pathway in chemotherapy-induced cachexia. In this study, we developed a fully human GFRAL antagonist antibody and investigated whether it inhibits the GDF15/GFRAL/RET axis, thereby alleviating chemotherapy-induced cachexia in tumour-bearing mice. MethodsAnti-GFRAL antibodies were selected via biopanning, using a human combinatorial antibody phage library. The potent GFRAL antagonist antibody A11 was selected via a reporter cell assay and its inhibitory activity of GDF15-induced signalling was evaluated using western blotting. To investigate the in vivo function of A11, a tumour-bearing mouse model was established by inoculating 8-week-old male C57BL/6 mice with B16F10 cells (n = 10-16 mice per group). A11 was administered subcutaneously (10 mg/kg) 1 day before intraperitoneal treatment with cisplatin (10 mg/kg). Animals were assessed for changes in food intake, body weight, and tumour volume. Plasma and key metabolic tissues such as skeletal muscles and adipose tissues were collected for protein and mRNA expression analysis. ResultsA11 reduced serum response element-luciferase reporter activity up to 74% (P < 0.005) in a dose-dependent manner and blocked RET phosphorylation up to 87% (P = 0.0593), AKT phosphorylation up to 28% (P = 0.0593) and extracellular signal regulatory kinase phosphorylation up to 75% (P = 0.0636). A11 inhibited the action of cisplatin-induced GDF15 on the brainstem and decreased GFRAL-positive neuron population expressing c-Fos in the area postrema and nucleus of the solitary tract by 62% in vivo (P < 0.05). In a melanoma mouse model treated with cisplatin, A11 recovered anorexia by 21% (P < 0.05) and tumour-free body weight loss by 13% (P < 0.05). A11 significantly improved the cisplatin-induced loss of skeletal muscles (quadriceps: 21%, gastrocnemius: 9%, soleus: 13%, P < 0.05) and adipose tissues (epididymal white adipose tissue: 37%, inguinal white adipose tissue: 51%, P < 0.05). ConclusionsOur study suggests that GFRAL antagonist antibody may alleviate chemotherapy-induced cachexia, providing a novel therapeutic approach for patients with cancer experiencing chemotherapy-induced cachexia. | Lee, Beom Yong; Jeong, Jongwon; Jung, Inseong; Cho, Hanchae; Jung, Dokyung; Shin, Jiwon; Park, Jun-kook; Park, Eunju; Noh, Soojeong; Shin, Sanghee; Kang, Sungmin; Heo, Jong-Ik; Baek, Moon-Chang; Yea, Kyungmoo | Daegu Gyeongbuk Inst Sci & Technol DGIST, Dept New Biol, Daegu 42988, South Korea; Kyungpook Natl Univ, Exosome Convergence Res Ctr ECRC, Daegu, South Korea; Kyungpook Natl Univ, Exosome Convergence Res Ctr ECRC, Dept Biomed Sci, Daegu, South Korea; Kyungpook Natl Univ, Cell & Matrix Res Inst, Sch Med, Dept Mol Med, Daegu, South Korea; Daegu Gyeongbuk Inst Sci & Technol DGIST, New Biol Res Ctr, Daegu 42988, South Korea | 57211266546; 57211276819; 57223306535; 57184674000; 57207487580; 57223303447; 57223285170; 58168390300; 57223308415; 57202494417; 59499667300; 57868263900; 7006013097; 12769131100 | ykm31@dgist.ac.kr; | JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE | J CACHEXIA SARCOPENI | 2190-5991 | 2190-6009 | 14 | 3 | SCIE | GERIATRICS & GERONTOLOGY;MEDICINE, GENERAL & INTERNAL | 2023 | 9.4 | 4.7 | 3.12 | 2025-06-25 | 13 | 16 | Cancer cachexia; Chemotherapy; Cisplatin; GDF15; GFRAL; GFRAL antagonist antibody | INDUCED NAUSEA; WEIGHT-LOSS; GDF15; IMPACT | Cancer cachexia; Chemotherapy; Cisplatin; GDF15; GFRAL; GFRAL antagonist antibody | Animals; Anorexia; Antineoplastic Agents; Cachexia; Cisplatin; Glial Cell Line-Derived Neurotrophic Factor; Humans; Male; Melanoma; Mice; Mice, Inbred C57BL; cisplatin; glial cell line derived neurotrophic factor receptor; growth differentiation factor 15; luciferase; messenger RNA; protein c fos; protein kinase B; protein Ret; antineoplastic agent; cisplatin; glial cell line derived neurotrophic factor; adipose tissue; adult; animal cell; animal experiment; animal model; animal tissue; anorexia; area postrema; Article; B16-F10 cell line; bacteriophage; biopanning; body weight; body weight loss; brain stem; C57BL 6 mouse; cachexia; cancer combination chemotherapy; cancer model; cancer patient; cancer size; cell assay; chemotherapy; drug therapy; drug toxicity; enzyme activity; food intake; gastrocnemius muscle; gene expression; gene expression profiling; in vivo study; inguinal white adipose tissue; male; melanoma; mouse; mouse model; nerve cell; nonhuman; protein expression; protein phosphorylation; quadriceps femoris muscle; serum responsive element; signal transduction; skeletal muscle; soleus muscle; solitary tract nucleus; Western blotting; white adipose tissue; animal; C57BL mouse; cachexia; human; metabolism | English | 2023 | 2023-06 | 10.1002/jcsm.13219 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations | Aerodynamic damping, as the principal determinant of wind-induced vibrations, bears vast sig-nificance in building engineering. This study presents a new modular framework, called the Deep Neural Network-Genetic Algorithm (DNN-GA) architecture, to predict aerodynamic damping directly from surface pressure measurement while serving as one of the earliest references for GA applications in aerodynamic damping predictions. The accurate prediction can give building engineers better insights into potential designs' feasibility at substantially reduced costs, benefiting building design and engineering implementations. The DNN-GA is demonstrated on an aeroelastic tapered prism-a nonlinear bi-directional fluid-structure interaction (FSI) system with solid connections to building design-with synchronous, high-fidelity wind tunnel data for training and prediction. With pressure input, the DNN module predicts tip response as the in-termediate product, based on which the GA module optimizes for aerodynamic damping in a fully automated workflow. Results showed that the DNN-GA outperformed six benchmark machine learning algorithms by at least 400%. A comparison between the GA module and the traditional Random Decrement Technique (RDT) showed an accuracy improvement of at least 700%. Finally, the DNN-GA predicted the aerodynamic damping for the Vortex-Induced Vibration (VIV), Galloping, and VIV-Galloping regimes with the maximum root-mean-squared and mean-absolute errors of only 3.874 x 10-3 and 3.053 x 10-3, attesting to the method's excellent accuracy and suitability to complex, nonlinear, and many types FSI vibrations. Given its data-driven nature, the DNN-GA is also applicable to experimental, numerical, and even field data, making it an attractive tool for building engineering applications. | Chen, Zengshun; Zhang, Likai; Li, Ke; Xue, Xuanyi; Zhang, Xuelin; Kim, Bubryur; Li, Cruz Y. | Chongqing Univ, Sch Civil Engn, Chongqing 400044, Peoples R China; Sun Yat sen Univ, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Sci, Zhuhai, Peoples R China; Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu, South Korea; Hong Kong Univ Sci & Technol, Sch Civil & Environm Engn, Hong Kong, Peoples R China | ; Zhang, Xuelin/L-5200-2019; Li, Cruz/AAB-7607-2022; Xue, Xuanyi/ABB-5624-2022 | 55866149500; 57217526147; 57013752000; 57203528756; 57207317373; 57198355299; 57217102878 | yliht@connect.ust.hk; | JOURNAL OF BUILDING ENGINEERING | J BUILD ENG | 2352-7102 | 63 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 6.7 | 4.7 | 4.96 | 2025-06-25 | 38 | 39 | Genetic algorithm; Deep neural network; Aerodynamic damping; Machine learning; Vortex-induced-vibration | VORTEX-INDUCED VIBRATION; IDENTIFICATION | Aerodynamic damping; Deep neural network; Genetic algorithm; Machine learning; Vortex-induced-vibration | Architectural design; Cost engineering; Damping; Deep neural networks; Fluid structure interaction; Forecasting; Learning algorithms; Vibrations (mechanical); Wind tunnels; Aerodynamic damping; Building design; Building engineering; Flow-induced vibration; Fluid-structure interaction; In-buildings; Machine-learning; Modular framework; Vortex induced vibration; Wind induced vibrations; Genetic algorithms | English | 2023 | 2023-01-01 | 10.1016/j.jobe.2022.105374 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Stochastic flame locating method hybridizing Kalman filter and deep neural network for rapid fire response at construction sites | Rapid flame locating (FL) is a crucial issue to timely response to fire at construction sites. Existing FL methods are not sufficiently accurate to locate flame source. This study presents a stochastic flame locating (SFL) method, hybridizing Kalman filter (KF) and deep neural network (DNN), which identifies the flame location in real-time by minimizing the uncertainty associated with ultraviolet (UV) radiation signals attributed to the momentary, transitory, and/or random nature of flame. SFL complements the limitations existing FL methods that use existing deep learning, which results in high variance, by updating continuously the Kalman gain. Hence, minimizing the mean and covariance of the posterior state at the final updating iteration and improving the convergence and accuracy of the output. It facilitates fine calibration of the coordinates of the estimated flame location by updating the statistics of UV signals using the sliding window method. Furthermore, SFL enables rigorous experiments that measure the sensitivity of performance to the variability of flame magnitude and the existence of obstacles on the path of radiation. | Kim, Jong-Hwan; Park, Young-Jun; Yi, Chang-Yong; Lee, Dong-Eun | Korea Mil Acad Mech & Syst Engn, Seoul 01805, South Korea; Kyungpook Natl Univ, Intelligent Construct Automat Ctr, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Architecture & Civil Engn, 80 Daehak Ro, Daegu 41566, South Korea | ; Jong-Hwan, Kim/O-4992-2019 | 57208450611; 57191258386; 36614886300; 56605563300 | py0307@knu.ac.kr;cyyi@knu.ac.kr;dolee@knu.ac.kr; | JOURNAL OF BUILDING ENGINEERING | J BUILD ENG | 2352-7102 | 66 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 6.7 | 4.7 | 0.67 | 2025-06-25 | 5 | 5 | Construction site; Flame locating; Fire safety; Kalman filter; Deep neural network; Ultraviolet sensor; Stochastic method; Sliding window | Construction site; Deep neural network; Fire safety; Flame locating; Kalman filter; Sliding window; Stochastic method; Ultraviolet sensor | Deep neural networks; Iterative methods; Location; Stochastic systems; Construction sites; Fire response; Fire safety; Flame locating; Flame location; Real- time; Sliding Window; Stochastic methods; Stochastics; Ultraviolet sensors; Kalman filters | English | 2023 | 2023-05-01 | 10.1016/j.jobe.2023.105967 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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