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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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| ○ | ○ | Article | Phase 1/2 trials of human bone marrow-derived clonal mesenchymal stem cells for treatment of adults with moderate to severe atopic dermatitis | Background: Mesenchymal stem cells (MSCs) play important roles in therapeutic applications by regulating immune responses. Objective: We investigated the safety and efficacy of allogenic human bone marrow-derived clonal MSCs (hcMSCs) in subjects with moderate to severe atopic dermatitis (AD). Methods: The study included a phase 1 open-label trial followed by a phase 2 randomized, double-blind, placebo-controlled trial that involved 72 subjects with moderate to severe AD. Results: In phase 1, intravenous administration of hcMSCs at 2 doses (1 x 10(6) and 5 x 10(5) cells/kg) was safe and well tolerated in 20 subjects. Because there was no difference between the 2 dosage groups (P = .9), it was decided to administer low-dose hcMSCs only for phase 2. In phase 2, subjects receiving 3 weekly intravenous infusions of hcMSCs at 5 x 10(5) cells/kg showed a higher proportion of an Eczema Area and Severity Index (EASI)-50 response at week 12 compared to the placebo group (P = .038). The differences between groups in the Dermatology Life Quality Index and pruritus numeric rating scale scores were not statistically significant. Most adverse events were mild or moderate and resolved by the end of the study period. Conclusions: The hcMSC treatment resulted in a significantly higher rate of EASI-50 at 12 weeks compared to the control group in subjects with moderate to severe AD. The safety profile of hcMSC treatment was acceptable. Further larger-scale studies are necessary to confirm these preliminary findings. | Seo, Hyun-Min; Lew, Bark-Lynn; Lee, Yang Won; Son, Sang Wook; Park, Chang Ook; Park, Young Lip; Baek, Jin-Ok; Shin, Min Kyung; Kim, Dong Hyun; Lee, Dong Hun; Jang, Yong Hyun; Ko, Hyun-Chang; Na, Chan-Ho; Seo, Young-Joon; Ham, Dong-Sik; Kim, Dong-Jun; Choi, Gwang Seong | Hanyang Univ, Guri Hosp, Coll Med, Dept Dermatol, Seoul, South Korea; Hanyang Univ, Hanyang Inst Biosci & Biotechnol, Seoul, South Korea; Kyung Hee Univ, Sch Med, Dept Dermatol, Seoul, South Korea; Konkuk Univ, Sch Med, Dept Dermatol, Seoul, South Korea; Korea Univ, Coll Med, Seoul, South Korea; Yonsei Univ, Coll Med, Dept Dermatol, Seoul, South Korea; Yonsei Univ, Cutaneous Biol Res Inst, Coll Med, Seoul, South Korea; Soonchunhyang Univ, Coll Med, Dept Dermatol, Bucheon, South Korea; Gachon Univ, Gil Med Ctr, Dept Dermatol, Incheon, South Korea; CHA Univ, CHA Bundang Med Ctr, Sch Med, Pangyo, South Korea; Seoul Natl Univ, Seoul Natl Univ Hosp, Coll Med, Dept Dermatol, Seoul, South Korea; Kyungpook Natl Univ, Sch Med, Dept Dermatol, Daegu, South Korea; Pusan Natl Univ, Sch Med, Dept Dermatol, Yangsan, South Korea; Chosun Univ, Coll Med, Dept Dermatol, Gwangju, South Korea; Chungnam Natl Univ, Sch Med, Dept Dermatol, Daejeon, South Korea; SCM Lifesci Inc, Incheon, South Korea; INHA Univ, Sch Med, Dept Dermatol, Incheon, South Korea | Seo, Hyun-Min/AAQ-3465-2020; Seo, Young/AAS-6148-2021; Lee, Sang-hun/JWA-2671-2024; Ham, Dong-sik/A-9340-2015; Kim, Kwhanmien/J-5383-2012; Ko, Hyun-chang/ABF-7418-2021 | 55642437700; 6701632121; 15033490400; 7202529945; 57283808600; 55966330200; 16202210000; 57201780499; 55574224600; 55649570908; 57016046400; 57202265435; 24475283700; 7402001312; 35078597100; 59215912800; 55666481700 | garden@inha.ac.kr; | JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY | J ALLERGY CLIN IMMUN | 0091-6749 | 1097-6825 | 154 | 4 | SCIE | ALLERGY;IMMUNOLOGY | 2024 | 11.2 | 5.7 | 0.51 | 2025-05-07 | 3 | 4 | Atopic dermatitis; clinical trial; mesenchymal stem cells; safety; treatment outcome | GUIDELINES; MANAGEMENT; CARE | Atopic dermatitis; clinical trial; mesenchymal stem cells; safety; treatment outcome | Adult; Dermatitis, Atopic; Double-Blind Method; Female; Humans; Male; Mesenchymal Stem Cell Transplantation; Mesenchymal Stem Cells; Middle Aged; Severity of Illness Index; Treatment Outcome; Young Adult; placebo; adult; Article; atopic dermatitis; bone marrow; clinical feature; controlled study; demographics; Dermatology Life Quality Index; double blind procedure; Eczema Area and Severity Index; female; human; major clinical study; male; mesenchymal stem cell; open study; phase 2 clinical trial; pruritus; randomized controlled trial; adverse event; clinical trial; immunology; mesenchymal stem cell transplantation; middle aged; multicenter study; phase 1 clinical trial; severity of illness index; therapy; treatment outcome; young adult | English | 2024 | 2024-10 | 10.1016/j.jaci.2024.06.013 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | A constrained multi-objective evolutionary algorithm with clustering based weight vector adaptation | In constrained multi-objective optimization, balancing convergence, diversity, and feasibility of solutions in the population are challenging. Most existing approaches focus on convergence and feasibility but fail to enforce the diversity and uniformity of solutions in the approximated Pareto Front (PF). In decomposition-based approaches, the diversity and uniformity of the obtained solution set depend on the set of weight vectors employed, which are generally fixed and initialized uniformly. However, Constrained Multi-objective Optimization Problems (CMOPs) are characterized by discontinuous Pareto-optimal fronts due to the presence of constraints. Therefore, to maintain better diversity and uniformity in the population, the weight vector set employed in the framework should consider the characteristics of PF, which is not known in advance. However, during the evolution, the characteristics of PF can be estimated and the associated weight vectors can be appropriately distributed. Motivated by this issue, we propose a novel Constrained Multi-Objective Evolutionary Algorithm with a Clustering-based Weight vector Adaptation strategy called CMOEA-CWA. The proposed CMOEA-CWA uses the basic framework of CMOEA-DPMS. After exploring the search space, CMOEA-CWA reinitializes the weight vectors if there exist any discontinuities in the approximated pareto front (PF). In CMOEA-CWA, the PF is approximated using the feasible solutions stored in an archive and novel parameter-free clustering techniques. During the clustering process, if there exist any discontinuities in the approximated PF, one population will exploit the feasible regions with a re-initialized set of weight vectors while the other population will explore the feasible regions with uniformly distributed weight vectors. Empirical results obtained on four popular and widely used benchmarks when compared with nine latest state-of-the-art algorithms (ARMOEA, CCMO, TiGE-2, ToP, MOEA/D-DAE, PPS, CTAEA, MOEA/D-2WA and CMOEA-DPMS) suggest the superiority of the proposed algo-rithm, especially on 47 complicated constrained multi-objective problems. The proposed algorithm performs statistically better than or comparable (in terms of HV) to ARMOEA, CCMO, TiGE-2, ToP, MOEA/D-DAE, PPS, CTAEA, MOEA/D-2WA and CMOEA-DPMS in 91.48 %, 78.72 %, 100 %, 70.21 %, 85.11 %, 78.72 %, 91.49 % and 82.97 % of test instances, respectively. The performance of the proposed algorithm is also demonstrated on a real-world Economic Environmental Dispatch (EED) problem. | Raju, M. Sri Srinivasa; Dutta, Saykat; Mallipeddi, Rammohan; Das, Kedar Nath; Lee, Dong-Gyu | Natl Inst Technol Silchar, Dept Math, Silchar 788010, Assam, India; Acad Sinica, Inst Stat Sci, Taipei, Taiwan; Kyungpook Natl Univ, Sch Elect Engn, Dept Artificial Intelligence, Daegu, South Korea | M, Sri Srinivasa Raju/GNH-4935-2022; Mallipeddi, Rammohan/AAL-5306-2020 | 57575288000; 57204580655; 25639919900; 55220472200; 57169003900 | mallipeddi.ram@gmail.com; | SWARM AND EVOLUTIONARY COMPUTATION | SWARM EVOL COMPUT | 2210-6502 | 2210-6510 | 84 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;COMPUTER SCIENCE, THEORY & METHODS | 2024 | 8.5 | 5.8 | 0.83 | 2025-05-07 | 1 | 1 | Weight vector adaptation; Clustering; Constraint multi -objective evolutionary algo; rithm; Optimization; Multi -staged; Dual population | MOEA/D; POWER | Clustering; Constraint multi-objective evolutionary algorithm; Dual population; Multi-staged; Optimization; Weight vector adaptation | Constrained optimization; Evolutionary algorithms; Multiobjective optimization; Pareto principle; Vector spaces; Vectors; Clusterings; Constrained multi-objective optimizations; Constraint multi-objective evolutionary algorithm; Dual population; Multi-Objective Evolutionary Algorithm; Multi-staged; Optimisations; Pareto front; Weight vector; Weight vector adaptation; Clustering algorithms | English | 2024 | 2024-02 | 10.1016/j.swevo.2023.101432 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Bi-level game theoretic approach for robust design: A case study of path-generating four-bar | This study addresses the bi-level multi-objective optimization problems (MOP) that raise in robust design and optimization of engineering systems through establishing a state-of-the-art game theoretic scenario. A novel leader-follower decentralized decision-making scenario is proposed, leveraging the synergy of game theory, Robust Design Optimization (RDO), Monte Carlo Simulation (MCS), and Artificial Intelligence (AI). The proposed algorithm can be employed for optimum robust Pareto design of a wide range of dynamical systems. In order to achieve a robust design, both the mean and variance of each objective function are considered as players in a multi-agent game setting. In this approach, both Stackelberg and cooperative games are utilized to model the behaviors of the players. Genetic Programming (GP) meta-models are employed to capture the Stackelberg protocol between two levels specifically for constructing the follower's rational reaction set (RRS). Additionally, the Nash bargaining function is -utilize to model the cooperative behaviors among players in each level. The proposed approach is applied and demonstrated through a case study involving multi-objective robust design of planar four-bar linkages. In this manner, four objective functions are assigned to four players within the system. Each player is responsible for optimizing a specific objective criterion, namely the mean of tracking error (TE), variance of tracking error, mean of transmission angle and variance of transmission angle (TA) of the linkage. As a result, the four-objective optimization problem of mechanism is transformed into a single-objective robust synthesis problem. The comparisons of the results show a significant enhancement in the robust behavior of the linkage, while ensuring that deterministic criteria such as quality of motion and precision are preserved. | Ahmadi, Bahman; Jamali, Ali; Mallipeddi, Rammohan; Nariman-Zadeh, Nader; Ahmadi, Behzad; Khayyam, Hamid | Univ Kurdistan, Fac Engn, Dept Mech Engn, Sanandaj, Iran; Kyungpook Natl Univ, Sch Elect Engn, Dept Artificial Intelligence, Daegu 41566, South Korea; Univ Guilan, Fac Mech Engn, Dept Dynam Control & Vibrat, Rasht, Iran; North Carolina State Univ, Dept Mech & Aerosp Engn, 1840 Entrepreneur Dr, Raleigh, NC USA; RMIT Univ, Sch Engn, Melbourne, Vic 3000, Australia | ; Ahmadi, Bahman/ABC-7374-2021; Nariman-zadeh, Nader/AAX-5762-2020; Jamali, Ali/AAX-5841-2020; Mallipeddi, Rammohan/AAL-5306-2020; Ahmadi, Behzad/I-1711-2018 | 56487372400; 13805822900; 25639919900; 14060978900; 59776211800; 26422988300 | mallipeddi.ram@gmail.com; | SWARM AND EVOLUTIONARY COMPUTATION | SWARM EVOL COMPUT | 2210-6502 | 2210-6510 | 89 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;COMPUTER SCIENCE, THEORY & METHODS | 2024 | 8.5 | 5.8 | 0 | 2025-05-07 | 0 | 0 | Bi-level optimization; Game theory; Genetic programming; Linkage synthesis; Robust design | MULTIOBJECTIVE OPTIMIZATION; GENETIC ALGORITHM; MECHANISMS; EFFICIENT; SYSTEMS | Bi-level optimization; Game theory; Genetic programming; Linkage synthesis; Robust design | Behavioral research; Decision making; Decision theory; Dynamical systems; Game theory; Genetic algorithms; Intelligent systems; Monte Carlo methods; Multi agent systems; Multiobjective optimization; Bi-level optimization; Case-studies; Four bar; Game-theoretic; Linkage synthesis; Multi-objective optimization problem; Objective functions; Robust designs; Robust optimization; Transmission angle; Genetic programming | English | 2024 | 2024-08 | 10.1016/j.swevo.2024.101636 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment | The successful deployment of Deep learning in several challenging tasks has been translated into complex control problems from different domains through Deep Reinforcement Learning (DRL). Although DRL has been extensively formulated and solved as single-objective problems, nearly all real-world RL problems often feature two or more conflicting objectives, where the goal is to obtain a high-quality and diverse set of optimal policies for different objective preferences. Consequently, the development of Multi-Objective Deep Reinforcement Learning (MODRL) algorithms has gained a lot of traction in the literature. Generally, Evolutionary Algorithms (EAs) have been demonstrated to be scalable alternatives to the classical DRL paradigms when formulated as an optimization problem. Hence it is reasonable to employ Multi-objective Evolutionary Algorithms (MOEAs) to handle MODRL tasks. However, there are several factors constraining the progress of research along this line: first, there is a lack of a general problem formulation of MODRL tasks from an optimization perspective; second, there exist several challenges in performing benchmark assessments of MOEAs for MODRL problems. To overcome these limitations: (i) we present a formulation of MODRL tasks as general multi-objective optimization problems and analyze their complex characteristics from an optimization perspective; (ii) we present an end-to-end framework, termed DRLXBench, to generate MODRL benchmark test problems for seamless running of MOEAs (iii) we propose a test suite comprising of 12 MODRL problems with different characteristics such as many-objectives, degenerated Pareto fronts, concave and convex optimization problems, etc. (iv) Finally, we present and discuss baseline results on the proposed test problems using seven representative MOEAs. | Ajani, Oladayo S.; Ivan, Dzeuban Fenyom; Darlan, Daison; Suganthan, P. N.; Gao, Kaizhou; Mallipeddi, Rammohan | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Qatar Univ, KINDI Ctr Comp Res, Doha, Qatar; Macau Univ Sci & Technol, Macau, Macao, Peoples R China | ; Darlan, Daison/KQA-9542-2024; Suganthan, Ponnuthurai/A-5023-2011; Mallipeddi, Rammohan/AAL-5306-2020; gao, kaizhou/A-3577-2016; Suganthan, Ponnuthurai Nagaratnam/A-5023-2011; AJANI, Oladayo/HIR-9607-2022 | 57465126000; 58655933000; 58164208500; 7003996538; 36443489100; 25639919900 | oladayosolomon@gmail.com;ivanfenyom@gmail.com;daisondarlan33@gmail.com;p.n.suganthan@qu.edu.qa;kzgao@must.edu.mo;mallipeddi.ram@gmail.com; | SWARM AND EVOLUTIONARY COMPUTATION | SWARM EVOL COMPUT | 2210-6502 | 2210-6510 | 90 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;COMPUTER SCIENCE, THEORY & METHODS | 2024 | 8.5 | 5.8 | 0.83 | 2025-05-07 | 1 | 3 | Evolutionary multi-objective optimization; Multi-objective reinforcement learning; Neuroevolution | ALGORITHM; SETS | Evolutionary multi-objective optimization; Multi-objective reinforcement learning; Neuroevolution | Benchmarking; Convex optimization; Deep learning; Evolutionary algorithms; Multiobjective optimization; Evolutionary multiobjective optimization; Learning problem; Learning tasks; Multi objective; Multi-Objective Evolutionary Algorithm; Multi-objective reinforcement learning; Neuro evolutions; Optimisations; Problem formulation; Reinforcement learnings; Reinforcement learning | English | 2024 | 2024-10 | 10.1016/j.swevo.2024.101692 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Estimation of physico-chemical properties of soil using machine learning | Alternatives to traditional soil quality estimation methods, often costly and inaccessible in resource-poor regions, are needed. This study explored the use of soil images to determine physico-chemical characteristics of soil samples from two locations in Benue State, North-Central Nigeria: Vandeikya (7.099653 degrees, 8.572102 degrees) and Konshisha (6.783539 degrees, 9.069549 degrees). The study integrated Machine Learning (ML) and Deep Learning (DL) techniques with soil image analysis, employing image feature extraction through Gray-Level Co-occurrence Matrix (GLCM) and Gabor filters to enhance the feature space across 1,388 samples (each consisting of 600 g of soil) and 16 properties. We evaluated different models, including Support Vector Regression (SVR), a Convolutional Neural Network (CNN), an optimized CNN using Grid Search, and a stacked ML-CNN approach. The models were assessed on their ability to predict soil properties while minimizing error rates. The SVR model showed limited predictive performance, with its best results yielding slightly over 40 % R2 and negative scores for physical properties. The CNN model performed better but had feature scores below 80 % R2. The optimized CNN model surpassed 90 % R2 and reduced MAE by more than 50 % for several properties. The stacked ML-CNN model further improved these metrics, demonstrating the effectiveness of the integrated approach. This research highlights the potential for using machine learning and image-based analysis as a scalable, cost-effective alternative to conventional soil testing, offering practical solutions for regions where conventional measurement tools are scarce. Integration with historical soil data might also open new possibilities for enhancing the accuracy and applicability of these methods for broader soil management practices. | Mba, Patience Chizoba; Busoye, Opegbemi Matthias; Ajayi, John Temitope; Njoku, Judith Nkechinyere; Nwakanma, Cosmas Ifeanyi; Asem-Hiablie, Senorpe; Mallipeddi, Rammohan; Park, Tusan; Uyeh, Daniel Dooyum | Michigan State Univ, Dept Biosyst & Agr Engn, E Lansing, MI 48824 USA; Kumoh Natl Inst Technol, Gumi 39177, South Korea; Shell Int Explorat & Prod Inc, Shell Technol Ctr, Biotechnol Dept, Houston, TX 77082 USA; Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea; Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Smart Bioind Mech Engn, Daegu 41566, South Korea | ; Mallipeddi, Rammohan/AAL-5306-2020; NJOKU, JUDITH/AAW-2805-2021; Park, Tusan/C-2057-2012; Nwakanma, Cosmas Ifeanyi/AFK-4903-2022 | 59361545700; 59361545800; 59361051800; 57216622500; 57211502137; 36656958300; 25639919900; 57202780408; 57194449611 | tusan.park@knu.ac.kr;uyehdani@msu.edu; | SMART AGRICULTURAL TECHNOLOGY | SMART AGR TECHNOL | 2772-3755 | 9 | ESCI | AGRICULTURAL ENGINEERING;AGRICULTURE, MULTIDISCIPLINARY;AGRONOMY | 2024 | 5.7 | 5.8 | 0.54 | 2025-05-07 | 1 | 1 | Soil properties; Soil images; Machine learning; Image analysis; Agriculture | MOISTURE-CONTENT; PREDICTION; EROSION | Agriculture; Image analysis; Machine learning; Soil images; Soil properties | English | 2024 | 2024-12 | 10.1016/j.atech.2024.100679 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Factor modification in the association between high-density lipoprotein cholesterol and liver cancer risk in a nationwide cohort | Background/aims The effect modification by smoking and menopausal status in the association between high-density lipoprotein cholesterol (HDL-C) and liver cancer risk has not been reported.Methods This population-based cohort study included 4.486 million cancer-free individuals among those who underwent national cancer screening in 2010 and were followed up until December 2017. We conducted analyses in populations that excluded people with chronic hepatitis B, chronic hepatitis C and liver cirrhosis (Model I) and that included those diseases (Model III). HDL-C level was classified into eight groups at 10-mg/dL intervals. Liver cancer risk by HDL-C was measured using adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs).Results During follow-up, 18 795 liver cancers in Model I and 20 610 liver cancers in Model III developed. In Model I, low HDL-C levels (aHR 1.83; 95% CI 1.65-2.04) and extremely high HDL-C levels (aHR 1.24; 95% CI 1.10-1.40) were associated with an increased liver cancer risk compared with a moderate HDL-C level of 50-59mg/dL. This association was similar in both men and women with larger effect size in men (aHR, 1.91; 95% CI, 1.70-2.15). The hazardous association between low HDL-C and liver cancer risk was remarkable in current smokers (aHR, 2.19; 95% CI, 1.84-2.60) and in pre-menopausal women (aHR, 2.91; 95% CI, 1.29-6.58) compared with post-menopausal women (aHR, 1.45; 95% CI, 1.10-1.93). This association was similarly observed in Model III.Conclusions Low and extremely high HDL-C levels were associated with an increased liver cancer risk. The unfavourable association between low HDL-C and liver cancer was remarkable in smokers and pre-menopausal women. | Nam, Su Youn; Jo, Junwoo; Lee, Won Kee; Cho, Chang Min | Kyungpook Natl Univ, Kyungpook Natl Univ Chilgok Hosp, Sch Med, Dept Internal Med, 807 Hoguk Ro, Daegu 702210, South Korea; Kyungpook Natl Univ, Dept Stat, Taegu, South Korea; Kyungpook Natl Univ, Kyunpook Natl Univ Hosp, Med Res Collaborat Ctr, Sch Med,Biostat, Daegu, South Korea | 55617028500; 57210425017; 22953484700; 57158287600 | nam20131114@gmail.com; | INTERNATIONAL JOURNAL OF EPIDEMIOLOGY | INT J EPIDEMIOL | 0300-5771 | 1464-3685 | 53 | 3 | SCIE | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | 2024 | 5.9 | 5.8 | 0.67 | 2025-05-07 | 1 | 1 | High-density lipoprotein cholesterol; liver cancer; sex; smoking | METABOLIC SYNDROME; HDL; SEX; EVENTS; WOMEN | High-density lipoprotein cholesterol; liver cancer; sex; smoking | Cholesterol, HDL; Cohort Studies; Female; Humans; Liver Neoplasms; Male; Risk; Risk Factors; Smoking; high density lipoprotein cholesterol; high density lipoprotein cholesterol; cancer; health risk; hepatitis; lipid; protein; smoking; adult; alcohol consumption; Article; body mass; cancer risk; cancer screening; chronic hepatitis B; chronic hepatitis C; cohort analysis; controlled study; current smoker; disease association; female; follow up; glucose level; high density lipoprotein cholesterol level; human; ICD-10; insurance; lipid blood level; liver cancer; liver cirrhosis; major clinical study; male; mass screening; menopause; people by smoking status; physical activity; postmenopause; premenopause; questionnaire; sensitivity analysis; serology; smoking; stomach cancer; sweating; liver tumor; risk; risk factor; smoking | English | 2024 | 2024-04-11 | 10.1093/ije/dyae053 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Healthy worker hire and survivor effects in a cohort of medical radiation workers | Background The healthy worker effect may distort the association between exposure and health effects in workers. However, few studies have investigated both the healthy worker hire and survival effects simultaneously, and they are limited to mortality studies in male workers.Methods We utilized a data set comprising South Korean diagnostic medical radiation workers registered in the National Dose Registry between 1996 and 2011, and merged it with mortality and cancer incidence data. Standardized mortality ratios (SMRs) and standardized incidence ratios (SIRs) were computed for comparison with the general population. To account for time-varying confounders influenced by prior occupational radiation exposure, we applied g-estimation using structural nested accelerated failure time models and compared the outcomes with those from Weibull regression.Results A total of 1831 deaths and 3759 first primary cancer cases were identified among 93 918 workers. Both male (SMR = 0.44; 95% CI: 0.42, 0.46) and female workers (SMR = 0.53; 95% CI: 0.46, 0.60) showed lower mortality rates compared with national rates. In the SIR analysis, male workers exhibited reduced risks of solid cancer whereas female workers had increased risks. The g-estimation-derived hazard ratios (HRs) from radiation exposure exceeded those from Weibull regression estimates for all-cause death (HR = 2.55; 95% CI: 1.97, 3.23) and all-cancer incidence (HR = 1.96; 95% CI: 1.52, 2.55) in male workers whereas female workers showed the opposite results.Conclusions Comprehensive consideration of the healthy worker effect by sex is essential for estimating the unbiased impact of occupational exposure on health outcomes, notably in studies focusing on male mortality. | Lee, Won Jin; Jeong, Jaeho; Bang, Ye Jin; Kim, Young Min | Korea Univ, Dept Prevent Med, Coll Med, 73,Goryeodae Ro, Seoul 02841, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu, South Korea | ; Lee, JooSang/KLC-3096-2024 | 55641918400; 59358304100; 56985424800; 59510684400 | leewj@korea.ac.kr; | INTERNATIONAL JOURNAL OF EPIDEMIOLOGY | INT J EPIDEMIOL | 0300-5771 | 1464-3685 | 53 | 5 | SCIE | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | 2024 | 5.9 | 5.8 | 0.67 | 2025-05-07 | 1 | 1 | Bias; cohort; hospital workers; ionizing radiation; occupational exposure | FAILURE-TIME-MODELS; LUNG-CANCER MORTALITY; EXPOSURE; BIAS; AUTOWORKERS; ADDRESS; RISK | Bias; cohort; hospital workers; ionizing radiation; occupational exposure | Adult; Aged; Cohort Studies; Female; Healthy Worker Effect; Humans; Incidence; Male; Middle Aged; Neoplasms, Radiation-Induced; Occupational Diseases; Occupational Exposure; Proportional Hazards Models; Radiation Exposure; Registries; Republic of Korea; Survivors; South Korea; cancer; cohort analysis; health worker; mortality; occupational exposure; radiation exposure; survival; adult; all cause mortality; Article; cancer incidence; cause of death; cohort analysis; controlled study; directed acyclic graph; employment; female; female worker; follow up; healthy worker effect; hematopoietic system malignancy; hospital personnel; human; major clinical study; male; mortality; mortality rate; multinomial logistic regression; occupational exposure; primary tumor; radiation exposure; solid malignant neoplasm; standardized incidence ratio; standardized mortality ratio; survivor; thyroid cancer; adverse event; aged; epidemiology; incidence; middle aged; occupational disease; proportional hazards model; radiation exposure; radiation induced neoplasm; register; South Korea; survivor | English | 2024 | 2024-10-04 | 10.1093/ije/dyae130 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Improvement of volatile aromatic compound levels and sensory quality of distilled soju derived from Saccharomyces cerevisiae and Wickerhamomyces anomalus co-fermentation | Distilled soju, a Korean traditional alcoholic beverage, is produced by fermenting rice with a variety of microorganisms including molds, yeasts, and lactic acid -producing bacteria, followed by distillation. Our study sought to improve the quality of distilled soju through co -fermentation with Saccharomyces cerevisiae and Wickerhamomyces anomalus, known for producing volatile aromatic compounds during the early stages of fermentation. Analysis of volatile aromatic compounds in co -fermented distilled soju revealed a substantial increase in compounds with boiling points below 200 degrees C. Among them, ethyl hexanoate, isobutanol, and isoamyl alcohol were identified as the major volatile aromatic compounds based on Log2 fold change analyses of the volatile aromatic compound pattern. In sensory evaluation, co -fermented distilled soju received higher scores in terms of odor and overall preference. Therefore, incorporating W. anomalus may improve the quality of distilled soju. | Choi, Kyu-Taek; Lee, Su-Hyun; Kim, Yeong-Jun; Choi, Jun-Su; Lee, Sae-Byuk | Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Kyungpook Natl Univ, Inst Fermentat Biotechnol, Daegu 41566, South Korea | Choi, Jun-Su/MVY-2121-2025; Lee, Suhyun/HOF-4644-2023 | 57204645058; 58854068100; 58939509300; 57195937178; 57188742752 | lsbyuck@knu.ac.kr; | FOOD CHEMISTRY-X | FOOD CHEM X | 2590-1575 | 22 | SCIE | CHEMISTRY, APPLIED;FOOD SCIENCE & TECHNOLOGY | 2024 | 8.2 | 5.8 | 1.34 | 2025-05-07 | 6 | 6 | Distilled soju; Wickerhamomyces anomalus; Volatile aromatic compounds; Co-fermentation | YEAST; ACID | Co-fermentation; Distilled soju; Volatile aromatic compounds; Wickerhamomyces anomalus | Alcoholic beverages; Aromatic compounds; Aromatization; Distillation; Fermentation; Lactic acid; Sensory analysis; aromatic compound; hexanoic acid; hexanoic acid ethyl ester; isobutanol; isopentyl alcohol; unclassified drug; Acid producing bacterium; Change analysis; Cofermentation; Distilled soju; Ethyl hexanoate; Isoamyl alcohol; Isobutanol; Sensory qualities; Volatile aromatic compounds; Wickerhamomyces anomalus; alcoholic beverage; Article; boiling point; controlled study; distillation; fermentation; food color; food quality; human; nonhuman; odor; physical chemistry; Saccharomyces cerevisiae; scoring system; sensory evaluation; soju; sour taste; sweetness; taste preference; Wickerhamomyces anomalus; Yeast | English | 2024 | 2024-06-30 | 10.1016/j.fochx.2024.101368 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities | Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance in various real -world optimization problems. While researchers worldwide have proposed a wide variety of EAs, certain limitations remain, such as slow convergence speed and poor generalization capabilities. Consequently, numerous scholars actively explore improvements to algorithmic structures, operators, search patterns, etc., to enhance their optimization performance. Reinforcement learning (RL) integrated as a component in the EA framework has demonstrated superior performance in recent years. This paper presents a comprehensive survey on integrating reinforcement learning into the evolutionary algorithm, referred to as reinforcement learningassisted evolutionary algorithm (RL-EA). We begin with the conceptual outlines of reinforcement learning and the evolutionary algorithm. We then provide a taxonomy of RL-EA. Subsequently, we discuss the RL-EA integration method, the RL-assisted strategy adopted by RL-EA, and its applications according to the existing literature. The RL-assisted procedure is divided according to the implemented functions including solution generation, learnable objective function, algorithm/operator/sub-population selection, parameter adaptation, and other strategies. Additionally, different attribute settings of RL in RL-EA are discussed. In the applications of RL-EA section, we also demonstrate the excellent performance of RL-EA on several benchmarks and a range of public datasets to facilitate a quick comparative study. Finally, we analyze potential directions for future research. This survey serves as a rich resource for researchers interested in RL-EA as it overviews the current state-of-the-art and highlights the associated challenges. By leveraging this survey, readers can swiftly gain insights into RL-EA to develop efficient algorithms, thereby fostering further advancements in this emerging field. | Song, Yanjie; Wu, Yutong; Guo, Yangyang; Yan, Ran; Suganthan, Ponnuthurai Nagaratnam; Zhang, Yue; Pedrycz, Witold; Das, Swagatam; Mallipeddi, Rammohan; Ajani, Oladayo Solomon; Feng, Qiang | Natl Def Univ, Beijing, Peoples R China; Univ Kent, Dept Analyt Operat & Syst, Canterbury, Kent, England; Beijing Jiaotong Univ, Sch Syst Sci, Beijing, Peoples R China; Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore, Singapore; Qatar Univ, Coll Engn, Kindi Ctr Comp Res, Doha, Qatar; Beihang Univ, Sch Reliabil & Syst Engn, Beijing, Peoples R China; Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore, Singapore; Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada; Polish Acad Sci, Syst Res Inst, Warsaw, Poland; Fac Engn & Nat Sci, Dept Comp Engn, Sariyer Istanbul, Turkiye; Indian Stat Inst, Elect & Commun Sci Unit, Kolkata, India; Kyungpook Natl Univ, Sch Elect Engn, Taegu, South Korea | Suganthan, Ponnuthurai Nagaratnam/A-5023-2011; Suganthan, Ponnuthurai/A-5023-2011; Das, Swagatam/AAG-6753-2019; Yan, Ran/IQS-0711-2023; Song, Yan-jie/AGY-3027-2022; Feng, Qiang/AAA-2080-2020; Pedrycz, Witold/HJZ-2779-2023; AJANI, Oladayo/HIR-9607-2022; Mallipeddi, Rammohan/AAL-5306-2020 | 57201855310; 58117744500; 58202671400; 57209308101; 7003996538; 55917988600; 56854903200; 24729258600; 25639919900; 57465126000; 55505632000 | songyj_2017@163.com;wuyutong119@gmail.com;g2002dmu@163.com;ran.yan@ntu.edu.sg;p.n.suganthan@qu.edu.qa;zhangyue1127@buaa.edu.cn;wpedrycz@ualberta.ca;swagatam.das@isical.ac.in;mallipeddi.ram@gmail.com;oladayosolomon@gmail.com;fengqiang@buaa.edu.cn; | SWARM AND EVOLUTIONARY COMPUTATION | SWARM EVOL COMPUT | 2210-6502 | 2210-6510 | 86 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;COMPUTER SCIENCE, THEORY & METHODS | 2024 | 8.5 | 5.8 | 24.83 | 2025-05-07 | 33 | 37 | Evolutionary algorithm; Reinforcement learning; Optimization; Reinforcement learning-assisted strategy; Generating solution; Learnable objective function; Algorithm/operator/sub-population selection; Parameter adaptation | DIFFERENTIAL EVOLUTION; OPTIMIZATION | Algorithm/operator/sub-population selection; Evolutionary algorithm; Generating solution; Learnable objective function; Optimization; Parameter adaptation; Reinforcement learning; Reinforcement learning-assisted strategy | Benchmarking; Evolutionary algorithms; Learning algorithms; Stochastic systems; Algorithm/operator/sub-population selection; Algorithms operators; Generating solution; Learnable objective function; Objective functions; Optimisations; Parameter adaptation; Reinforcement learning-assisted strategy; Reinforcement learnings; Sub-populations; Reinforcement learning | English | 2024 | 2024-04 | 10.1016/j.swevo.2024.101517 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Structural characterization and immune-enhancing properties of an acidic heteroglycan from Protaetia brevitarsis seulensis larvae | Edible insects are a promising source of bioactive compounds with diverse health benefits. This study investigated the immunomodulatory properties of polysaccharides isolated from Protaetia brevitarsis seulensis larvae (PBSL). Polysaccharides were fractionated using a molecular weight cutoff membrane, and among these fractions, the higher molecular weight fraction (H-PBSL, 666.84 kDa) demonstrated significant immunomodulatory activity. Methylation and NMR structural analyses revealed H-PBSL to be an acidic heteroglycan with a complex structure, consisting of a backbone of repeating (1 -> 4)-linked alpha-glucan units highly branched at O-6 positions with T-alpha-Glcp, T-alpha-GlcpA, and T-beta-Galp. The immunomodulatory effects of H-PBSL were evaluated using RAW264.7 macrophage cells. H-PBSL treatment enhanced phagocytic activity and increased the expression of immune modulators and macrophage activation surface molecules. In addition, H-PBSL activated the NF-kappa B signaling pathway, evidenced by increased phosphorylation of I kappa B and NF-kappa B, and translocation of NF-kappa B from cytosol to nucleus. Moreover, inhibition of Toll-like receptor 4 (TLR4) reduced H-PBSL-induced nitric oxide synthesis, indicating TLR4 ' s pivotal role in H-PBSL-mediated macrophage activation. These findings highlight the potential of H-PBSL as a novel immunomodulatory agent derived from an edible insect, with possible applications in functional foods and nutraceuticals. | Park, Ju-Hwi; Park, Jong-Jin; Chae, Jongbeom; Lee, Seong Do; Gwon, Subin; Kim, Hunseong; Min, Ju Hyun; Jung, Young Hoon; Lee, Joon Ha; Lee, Wonyoung; Hwang, Jae Sam; Olawuyi, Ibukunoluwa Fola; Nam, Ju-Ock; Hahn, Dongyup | Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Korea Food Res Inst, Food Safety & Distribut Res Grp, Wonju 55365, South Korea; Kyungpook Natl Univ, Dept Integrat Biotechnol, Daegu 41566, South Korea; Natl Inst Agr Sci, Rural Dev Adm, Dept Agr Biol, Wonju 55365, South Korea; Kyungpook Natl Univ, Res Inst Tailored Food Technol, Daegu 41566, South Korea; MyoTecSci Inc, Seoul 02792, South Korea | Park, Jongjin/AAL-3484-2021; Jung, Young/F-1703-2013; Olawuyi, Ibukunoluwa/H-1232-2018 | 59073815500; 58602432200; 57204499421; 59851643400; 59230162500; 57870871700; 57217835247; 55550063700; 37960965000; 57195940408; 59229940700; 57204471854; 7201496105; 36554163400 | ifolawuyi@knu.ac.kr;namjo@knu.ac.kr;dohahn@knu.ac.kr; | FUTURE FOODS | FUTURE FOODS | 2666-8335 | 10 | ESCI | FOOD SCIENCE & TECHNOLOGY | 2024 | 8.2 | 5.8 | 0.81 | 2025-05-07 | 1 | 2 | Polysaccharide; Edible insects; Protaetia brevitarsis seulensis larvae; Immunomodulation; Macrophage; Heteroglycan | POLYSACCHARIDES; ACTIVATION | Edible insects; Heteroglycan; Immunomodulation; Macrophage; Polysaccharide; Protaetia brevitarsis seulensis larvae | English | 2024 | 2024-12 | 10.1016/j.fufo.2024.100439 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | A Reliable and Privacy-Preserving Vehicular Energy Trading Scheme Using Decentralized Identifiers | As the usage of electric vehicles (EVs) expands, various energy management technologies, including battery energy storage systems, are being developed to efficiently charge EVs using various energy sources. In recent years, many blockchain-based energy trading schemes have been proposed for secure energy trading. However, existing schemes cannot fully solve privacy issues and security problems during energy trading. In this paper, we propose a reliable and privacy-preserving vehicular energy trading scheme utilizing decentralized identifier technology. In the proposed scheme, identity information and trading result information are not revealed publicly; this is due to the use of decentralized identifiers and verifiable credential technologies. Additionally, only parties who have successfully conducted energy trading can manage complete transaction information. We also demonstrate our method's security and ensure privacy preservation by performing informal and formal security analyses. Furthermore, we analyze the performance and security features of the proposed scheme and related works and show that the proposed scheme has competitive performance. | Kim, Myeonghyun; Park, Kisung; Park, Youngho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Gachon Univ, Dept Comp Engn Smart Secur, Seongnam 13120, South Korea | Park, Kisung/KIG-3849-2024 | 57210278739; 57194833768; 56962990300 | kimmyeong123@knu.ac.kr;kisung@gachon.ac.kr;parkyh@knu.ac.kr; | MATHEMATICS | MATHEMATICS-BASEL | 2227-7390 | 12 | 10 | SCIE | MATHEMATICS | 2024 | 2.2 | 5.9 | 3.02 | 2025-05-07 | 4 | 5 | vehicular energy trading; decentralized identifier; blockchain; verifiable credential; authentication | AUTHENTICATION SCHEME; ELECTRIC VEHICLES; BLOCKCHAIN; EFFICIENT; INTERNET; DEMAND; PEER | authentication; blockchain; decentralized identifier; vehicular energy trading; verifiable credential | English | 2024 | 2024-05 | 10.3390/math12101450 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A Secure Authentication Scheme with Local Differential Privacy in Edge Intelligence-Enabled VANET | Edge intelligence is a technology that integrates edge computing and artificial intelligence to achieve real-time and localized model generation. Thus, users can receive more precise and personalized services in vehicular ad hoc networks (VANETs) using edge intelligence. However, privacy and security challenges still exist, because sensitive data of the vehicle user is necessary for generating a high-accuracy AI model. In this paper, we propose an authentication scheme to preserve the privacy of user data in edge intelligence-enabled VANETs. The proposed scheme can establish a secure communication channel using fuzzy extractor, elliptic curve cryptography (ECC), and physical unclonable function (PUF) technology. The proposed data upload process can provide privacy of the data using local differential privacy and symmetric key encryption. We validate the security robustness of the proposed scheme using informal analysis, the Real-Or-Random (ROR) model, and the Scyther tool. Moreover, we evaluate the computation and communication efficiency of the proposed and related schemes using Multiprecision Integer and Rational Arithmetic Cryptographic Library (MIRACL) software development kit (SDK). We simulate the practical deployment of the proposed scheme using network simulator 3 (NS-3). Our results show that the proposed scheme has a performance improvement of 10 similar to 48% compared to the state-of-the-art research. Thus, we can demonstrate that the proposed scheme provides comprehensive and secure communication for data management in edge intelligence-enabled VANET environments. | Kwon, Deokkyu; Son, Seunghwan; Park, Kisung; Park, Youngho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Gachon Univ, Dept Comp Engn Smart Secur, Seongnam 13120, South Korea | ; Park, Kisung/KIG-3849-2024 | 57221739597; 57221744477; 57194833768; 56962990300 | kdk145@knu.ac.kr;sonshawn@knu.ac.kr;kisung@gachon.ac.kr;parkyh@knu.ac.kr; | MATHEMATICS | MATHEMATICS-BASEL | 2227-7390 | 12 | 15 | SCIE | MATHEMATICS | 2024 | 2.2 | 5.9 | 0.75 | 2025-05-07 | 1 | 1 | authentication; edge intelligence; local differential privacy; security analysis; vehicular ad hoc network | KEY EXCHANGE; INTERNET; CHALLENGES; 5G | authentication; edge intelligence; local differential privacy; security analysis; vehicular ad hoc network | English | 2024 | 2024-08 | 10.3390/math12152383 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A Study on Determining the Optimal Feedback Rate in Distributed Block Diagonalization with Limited Feedback for Dense Cellular Networks | In this study, we explore a downlink cellular network where each base station (BS) engages in simultaneous communication with multiple users through spatial division multiple access (SDMA). The positions of both BSs and users are established through independent random point processes, effectively representing the cellular network. SDMA utilizes block diagonalization (BD) at each BS, employing multiple receive antennas for each user. To implement BD, users quantize and provide feedback on their downlink channels to their respective BSs. The net spectral efficiency, measuring the effective rate accounting for both downlink and uplink resource usage, serves as a performance metric. In prior research, the optimal feedback rate in terms of maximizing net spectral efficiency has been approximated in this scenario. The corresponding approximations effectively illustrate the asymptotic behavior of the optimal number as a function of the length of the coherent channel block. However, the accuracy of the approximation diminishes when the length of the coherent channel block is relatively small. Given that the length of the coherent channel block can assume relatively small values depending on wireless environments, achieving a precise estimate across the entire range of the coherent block length holds significant importance. Consequently, this paper focuses primarily on enhancing the accuracy of the approximation for the optimal feedback rate. In order to achieve a more precise estimation, we analyze the derivative of the net spectral efficiency, which encompasses two functions that demonstrate distinct growth rates. In contrast to prior studies, both functions are rigorously approximated through mathematical analysis. As a result, the proposed approximation significantly improves the accuracy compared to previous studies, particularly when dealing with short coherent channel block lengths. Moreover, this approximation generally achieves near-optimal performance, regardless of system parameters. | Kim, Taehwi; Min, Moonsik | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | 58872359100; 55386299100 | thwi17@knu.ac.kr;msmin@knu.ac.kr; | MATHEMATICS | MATHEMATICS-BASEL | 2227-7390 | 12 | 3 | SCIE | MATHEMATICS | 2024 | 2.2 | 5.9 | 1.51 | 2025-05-07 | 2 | 2 | MU-MIMO; stochastic geometry; limited feedback; block diagonalization; cellular network | CHANNELS | block diagonalization; cellular network; limited feedback; MU-MIMO; stochastic geometry | English | 2024 | 2024-02 | 10.3390/math12030460 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | An Anonymous and Efficient Authentication Scheme with Conditional Privacy Preservation in Internet of Vehicles Networks | The Internet of Vehicles (IoV) is an emerging technology that enables vehicles to communicate with their surroundings, provide convenient services, and enhance transportation systems. However, IoV networks can be vulnerable to security attacks because vehicles communicate with other IoV components through an open wireless channel. The recent related work suggested a two-factor-based lightweight authentication scheme for IoV networks. Unfortunately, we prove that the related work cannot prevent various security attacks, such as insider and ephemeral secret leakage (ESL) attacks, and fails to ensure perfect forward secrecy. To address these security weaknesses, we propose an anonymous and efficient authentication scheme with conditional privacy-preserving capabilities in IoV networks. The proposed scheme can ensure robustness against various security attacks and provide essential security features. The proposed scheme ensures conditional privacy to revoke malicious behavior in IoV networks. Moreover, our scheme uses only one-way hash functions and XOR operations, which are low-cost cryptographic operations suitable for IoV. We also prove the security of our scheme using the "Burrows-Abadi-Needham (BAN) logic", "Real-or-Random (ROR) model", and "Automated Validation of Internet Security Protocols and Applications (AVISPA) simulation tool". We evaluate and compare the performance and security features of the proposed scheme with existing methods. Consequently, our scheme provides improved security and efficiency and is suitable for practical IoV networks. | Kim, Chaeeon; Kwon, Deokkyu; Son, Seunghwan; Yu, Sungjin; Park, Youngho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Elect & Telecommun Res Inst, Daejeon 34129, South Korea | 59469213900; 57221739597; 57221744477; 57203974524; 56962990300 | chaeon@knu.ac.kr;kdk145@knu.ac.kr;sonshawn@knu.ac.kr;sj.yu@etri.re.kr;parkyh@knu.ac.kr; | MATHEMATICS | MATHEMATICS-BASEL | 2227-7390 | 12 | 23 | SCIE | MATHEMATICS | 2024 | 2.2 | 5.9 | 0 | 2025-05-07 | 0 | 0 | Internet of Vehicle (IoV); authentication; conditional privacy; key agreement; lightweight | KEY MANAGEMENT PROTOCOL; COMMUNICATION; CHALLENGES; SECURITY | authentication; conditional privacy; Internet of Vehicle (IoV); key agreement; lightweight | English | 2024 | 2024-12 | 10.3390/math12233756 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Angelica gigas polysaccharide induces CR3-mediated macrophage activation and the cytotoxicity of natural killer cells against HCT-116 cells via NF-KB and MAPK signaling pathways | Angelica gigas ( A. gigas ) is traditional medicinal herb that mainly exists in Korea and northeastern China. There have been relatively few studies conducted thus far on its polysaccharides and their bioactivities. We purified and described a novel water-soluble polysaccharide derived from A. gigas and investigated its immunoenhancing properties. The basic components of crude and purified polysaccharides (F1 and F2) were total sugar (41.07%70.55%), protein (1.12-10.33%), sulfate (2.9-5.5%), and uronic acids (0.5-31.05%) in total content. Our results demonstrated that the crude and fractions' molecular weights ( M w ) varied from 42.2 to 285.2 x 10 3 g/mol. As the most effective polysaccharide, F2 significantly stimulated RAW264.7 cells to release nitric oxide (NO) and express several cytokines. Furthermore, F2 increased the expression of tumor necrosis factor-alpha (TNF-alpha), interferon -gamma (IFN- gamma), natural killer cytotoxicity receptors (NKp44), and granzyme-B in NK-92 cells and enhanced the cytotoxicity against HCT-116 cells. In our experiments, we found that F2 stimulated RAW264.7 cells and NK-92 cells via MAPK and NF - K B pathways. The monosaccharide and methylation analysis of the high immunostimulant F2 polysaccharide findings revealed that the polysaccharide was primarily composed of 1 -> 4, 1 -> 6, 1 -> 3, 6, 1 -> 3 and 1 -> 3, 4, 6 galactopyranose residues, 1 -> 3 arabinofuranose residues, 1 -> 4 glucopyranose residues. These results demonstrated that the F2 polysaccharide of A. gigas which possesses potential immunostimulatory attributes, could be used to create a novel functional food. | Ge, Yunfei; Palanisamy, Subramanian; Kwon, Mi-Hye; Kou, Fang; Uthamapriya, Rajavel Arumugam; Lee, Dong-Jin; Jeong, Duyun; Bao, Honghui; You, SangGuan | Gangneung Wonju Natl Univ, Dept Marine Food Sci & Technol, 120 Gangneung, Gangwon 210702, South Korea; Gangneung Wonju Natl Univ, East Coast Life Sci Inst, 120 Gangneung, Gangwon 210702, South Korea; Kyungpook Natl Univ, Dept Food & Food Serv Ind, Sangju 37224, South Korea; Hubei Univ Arts & Sci, Sch Food Sci & Technol, Sch Chem Engn, Xiangyang 441053, Hubei, Peoples R China; Hubei Univ Arts & Sci, Sch Food Sci & Technol, Xiangyang 441053, Hubei, Peoples R China | Subramanian, Palanisamy/AAQ-8984-2020 | 57196353755; 55293276900; 57158645000; 57195137239; 58763537500; 57814786500; 57203059723; 36614100200; 7201516866 | baohh@hbuas.edu.cn;umyousg@gwnu.ac.kr; | INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES | INT J BIOL MACROMOL | 0141-8130 | 1879-0003 | 263 | SCIE | BIOCHEMISTRY & MOLECULAR BIOLOGY;CHEMISTRY, APPLIED;POLYMER SCIENCE | 2024 | 8.5 | 5.9 | 1.05 | 2025-05-07 | 3 | 3 | Angelica gigas; Polysaccharides; Immunostimulatory activity | COLON CANCER ACTIVITY; IMMUNOMODULATORY ACTIVITY; IN-VITRO; LIPOPOLYSACCHARIDE; ANTITUMOR; SINENSIS | Angelica gigas; Immunostimulatory activity; Polysaccharides | Angelica; Animals; HCT116 Cells; Humans; Killer Cells, Natural; Macrophage Activation; Mice; NF-kappa B; Polysaccharides; RAW 264.7 Cells; Signal Transduction; Alkylation; Cell death; Cell signaling; Cytotoxicity; Glycoproteins; Macrophages; Nitric oxide; Purification; Sulfur compounds; granzyme B; interleukin 10; interleukin 1beta; interleukin 6; nitric oxide; polysaccharide; sulfate; toll like receptor 2; toll like receptor 4; tumor necrosis factor; uronic acid; immunoglobulin enhancer binding protein; polysaccharide; Angelica gigas; Immunostimulatory activities; Macrophage activation; MAPK signalling; Medicinal herb; Natural killer cells; Property; Raw 264.7 cells; Signalling pathways; Water-soluble polysaccharides; Angelica gigas; animal cell; Article; biomass; cell proliferation; cytotoxicity; HCT 116 cell line; human; human cell; macrophage activation; MAPK signaling; mass fragmentography; mouse; natural killer cell; NF kB signaling; NK-92 cell line; nonhuman; pleiotropy; protein expression; RAW 264.7 cell line; size exclusion chromatography; upregulation; Angelica; animal; chemistry; macrophage activation; metabolism; signal transduction; Polysaccharides | English | 2024 | 2024-04 | 10.1016/j.ijbiomac.2024.130320 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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