연구성과로 돌아가기
2025 연구성과 (139 / 151)
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ○ | Book | AI and machine learning applications in sports analytics | Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists. © 2025 by IGI Global Scientific Publishing. All rights reserved. | Choudhury, Tanupriya; Arya, Pradeep Kumar; Kotecha, Ketan; Sharma, Ashutosh; Um, Jung-Sup | University of Petroleum and Energy Studies, Dehradun, India; Symbiosis International University, India; Symbiosis Centre for Applied, Artificial Intelligence, Symbiosis International University, India; Henan University of Science and Technology, China; Kyungpook National University, South Korea | 57193140084; 56125810200; 6506676097; 57191186424; 35173565000 | AI and Machine Learning Applications in Sports Analytics | 0 | Data handling; Decision making; Learning systems; Machine learning; Sports medicine; Artificial intelligence learning; Data driven decision; Decisions makings; Game strategies; Interpretation of data; Machine learning applications; Machine-learning; Performance; Sports industries; Video footage; Sports | English | Final | 2025 | 10.4018/979-8-3693-5385-1 | 바로가기 | 바로가기 | ||||||||||||||||||||||
| ○ | Conference paper | AI-Powered Human Activity Recognition with Attention Networks | Deep learning techniques effectively extract discriminative parameters from body-worn sensor data for human activity recognition (HAR). We propose an attention-based HAR model to enhance precision and interpretability. Our approach demonstrates superior recognition performance on benchmark datasets and provides attention maps, improving decision-making understanding. This innovation advances HAR and opens new research opportunities in AI-powered activity recognition, benefiting both academia and industry. The innovation presented in this paper not only contributes to the evolution of HAR methodologies but also marks a significant step forward in advancing the broader landscape of AI-powered activity recognition. By fostering a deeper understanding of intricate activity patterns through attention mechanisms, our approach not only benefits academia in refining state-of-the-art models but also holds promise for practical applications in industry. The insights gained from this research pave the way for new avenues of exploration and development in the realm of AI-driven human activity recognition. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. | Zia Ur Rehman, Muhammad; Khan, Murad; Paul, Anand | School of Computer Science and Engineering Kyungpook National University, Daegu, South Korea; Kuwait College of Science and Technology, Doha, Kuwait; School of Computer Science and Engineering Kyungpook National University, Daegu, South Korea | 59771549900; 56151971600; 56650522400 | Ziaurrehmankhan921@gmail.com; | Smart Innovation, Systems and Technologies | 2190-3018 | 416 | N/A | 0 | Attention-based neural networks; Human activity recognition; Human behavior analysis | Activity recognition; Attention-based neural network; Body-worn sensors; Human activity recognition; Human behavior analysis; Interpretability; Learning techniques; Neural-networks; Recognition models; Sensors data; Behavioral research | English | Final | 2025 | 10.1007/978-981-97-8760-9_12 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | ○ | Article | Ampleness of Normal Bundles of Base Cycles in Flag Domains | Flag domains are open orbits of noncompact real forms of complex semisimple Lie groups acting on flag manifolds. To each flag domain one can associate a compact complex manifold called the base cycle. The ampleness of the normal bundle of the base cycle in a flag domain measures the concavity near the base cycle. In this paper we compute the ampleness of normal bundles of base cycles in flag domains in various cases, including flag domains in the full flag manifolds G/B when G is classical, and period domains parameterizing polarized Hodge structures with fixed Hodge numbers. | Hong, Jaehyun; Seo, Aeryeong | Inst Basic Sci IBS, Ctr Complex Geometry, Daejeon 34126, South Korea; Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea | Seo, Aeryeong/GON-4707-2022 | 15750365300; 55266222700 | jhhong00@ibs.re.kr; aeryeong.seo@knu.ac.kr; | TRANSFORMATION GROUPS | 1083-4362 | 1531-586X | 30 | 2 | 0 | 2025-06-11 | 0 | 0 | Flag domains; Ampleness; Normal bundles | SPACES | Ampleness; Flag domains; Normal bundles | English | 2025 | 2025-06 | 10.1007/s00031-023-09831-2 | 바로가기 | 바로가기 | 바로가기 | |||||||||
| ○ | Conference paper | An Analysis for Pre-consultations on the Korean Government-Managed Information System Projects | To reduce duplicated information system development projects, Korean government established the pre-consultation body. The pre-consultation body performs preliminary review for various aspects of government-managed information systems. In spite of its good roles and its effectively, the pre-consultation body met over-loaded duties, and now it shows some warning signals mainly due to the increased number of submitted projects. This paper statistically analyzes the results of pre-consultation processes for 1,399 submitted projects in the field of e-Government projects in the year of 2022. Our analysis shows that it is better to exclude some small-size projects from the pre-consultation process. This paper aims to provide the theoretical and statistics-based backgrounds to the claims, and we expect that our suggestions can improve the pre-consultation process of Korean government information systems management. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. | Kim, Myunghee; Baek, Nakhoon | Department of Digital Platform Government, National Information Society Agency, Daegu, 41068, South Korea, Department of Information Science, Kyungpook National University, Daegu, 41566, South Korea; Department of Information Science, Kyungpook National University, Daegu, 41566, South Korea, School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea, Graduate School of Data Science, Kyungpook National University, Daegu, 41566, South Korea | 59392794200; 7007017954 | nbaek@knu.ac.kr; | Communications in Computer and Information Science | 1865-0929 | 2194 CCIS | 0 | 2025-05-07 | 0 | e-Government; pre-consultation; statistical analysis | e-government; Information management; Information use; Consultation process; e-Government; Government projects; Information system projects; Information systems development projects; Korean Government; Pre-consultation; Statistic-based; Statistically analysis; Warning signals; Decentralized finance | English | Final | 2025 | 10.1007/978-3-031-70906-7_24 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | An Efficient Graphics Data Retrieval Method Based on Data Conversion Schemes | Modern computer graphics systems usually manage a set of internal data to store control parameters and all kind of graphics data. The behind problem on these graphics system data is that they are frequently updated and retrieved with variety of data types, even they are initially stored as specific data types. To support these updates and retrievals with various data types, modern graphics systems typically use data type conversion features, and even in the worst cases, they should provide all combinations of internally stored data types and newly provided or retrieved data types. In this paper, we show how to efficiently provide all the required combinations of data type conversions, with motivations, analysis, and overall designs. We also show typical type conversion scenarios, with specific API function examples. Our design shows that it can improve the internal architecture and the internal efficiency of modern computer graphics systems. In its implementation, we use C++std:: map container for fast lookup of the best-suitable conversion function. This overall scheme was integrated in our existing systems, and shows its feasibility and correctness. © 2025 IEEE. | Baek, Nakhoon | School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea, Graduate School of Data Science, Kyungpook National University, Daegu, 41566, South Korea, Data-Driven Intelligent Mobility ICT Research Center, Kyungpook National University, Daegu, 41566, South Korea | 7007017954 | wayfarecru@gmail.com; | 2025 International Conference on Electronics, Information, and Communication, ICEIC 2025 | 0 | 2025-05-07 | 0 | Best-suitable Type Conver-sion; Data Retrieval; Data Type Conversion; Efficient Lookup; Various Data Types | Data consistency; Best-suitable type conv-sion; Computer graphics systems; Data retrieval; Data type conversion; Datatypes; Efficient lookup; Graphic system; Lookups; Various data type; Data assimilation | English | Final | 2025 | 10.1109/iceic64972.2025.10879692 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | An Empirical Study of Web Flaky Tests: Understanding and Unveiling DOM Event Interaction Challenges | Flaky tests, which exhibit non-deterministic behavior and fail without changes to the codebase, pose significant challenges to the reliability and efficiency of software testing processes. Despite extensive research on flaky tests in traditional unit and integration testing, their impact and prevalence within web user interface (UI) testing remains relatively unexplored, especially concerning Document Object Model (DOM) events. In web applications, DOM-related flakiness, resulting from unstable interactions between DOM and events, is particularly prevalent. This study conducts an empirical analysis of 123 flaky tests in 49 open-source web projects, focusing on the correlation between DOM event interactions and test flakiness. Our findings indicate that DOM events, and their associated interactions with the application, can introduce flakiness in web UI tests; these events are frequently associated with Event-DOM interactions (32.5 %), Event operations (22.8 %), and Response evaluations (16.3 %). The analysis of DOM consistency and event interaction levels reveals that element-level interactions across multiple DOMs are more likely to cause flakiness than interactions confined to a single DOM or occurring at the page level. Furthermore, the primary strategies used by developers to handle these issues involve synchronizing DOM interactions (50.4%), managing conditional event completion (38.2%), and ensuring consistent DOM state transitions (11.4%). We discovered that the Event-DOM category has the highest fixed frequency (2.6 times), while the DOM category on sole takes the longest time to resolve (153.4 days). This study provides practical insights into improving web application testing practices by highlighting the importance of understanding and managing DOM event interactions. © 2025 IEEE. | Pei, Yu; Sohn, Jeongju; Papadakis, Mike | University of Luxembourg, SnT, Luxembourg; Kyungpook National University, South Korea; University of Luxembourg, SnT, Luxembourg | 57947432300; 57191407731; 57197295611 | jeongju.sohn@knu.ac.kr; | 2025 IEEE Conference on Software Testing, Verification and Validation, ICST 2025 | N/A | 0 | DOM and Event Interaction; Flaky Tests; Web UI Tests | Software reliability; User profile; Deterministic behavior; Document object model; Document object model and event interaction; Empirical studies; Flaky test; Model events; Model interaction; Software testings; Web user interface; Web user interface test; Integration testing | English | Final | 2025 | 10.1109/icst62969.2025.10989030 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Article | An opinionated sentiment analysis using a rule-based method | The categorization of opinions into positive, negative, or neutral facilitates information gathering, pinpointing individual weaknesses, and streamlining the decision-making process. Precision in opinion classification enables decision-makers to extract valuable insights, make well-informed decisions, and execute suitable actions. Sentiment analysis is language-specific due to the distinct morphological structures unique to each language, distinguishing them from one another. This study implemented a rule-based sentiment analysis approach for Kafi-noonoo opinionated texts, leveraging a rule-based system tailored for smaller datasets that operate based on a predefined set of rules. The rule-based mechanism calculates the overall polarity of a given sentence by applying a set of rules and categorizes it into positive, negative, or neutral sentiments upon identifying sentimental terms from a dedicated file. While the analysis utilized 1,500 words sourced from Facebook and music review samples, the modest sample size yielded satisfactory results. Performance evaluation metrics such as precision, recall, and F-measure were employed, indicating positive word scores of 91%, 86%, and 88.4%, and negative word scores of 80%, 75%, and 77%, respectively. © 2025, Institute of Advanced Engineering and Science. All rights reserved. | Mekonen, Mareye Zeleke; Assegie, Tsehay Admassu; Palit, Shamik; Kumar, Angati Kalyan; Roy, Chandrima Sinha; Kompala, Chandi Priya; Napa, Komal Kumar | Department of Information Technology, College of Engineering and Technology, Injibara University, Injibara, Ethiopia; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea; Department of Computing Science and Software Engineering, University of Stirling RAK, Campus, Al Dhait South, Ras Al Khaimah, United Arab Emirates; Department of Computer Science & Engineering (Data Science), Madanapalle Institute of Technology & Science, Andhra Pradesh, Madanapalle, India; Department of Computer Science and Engineering, Dr. Sudhir Chandra Sur Institute of Technology & Sports Complex, West Bengal, Kolkata, India; Department of Science and Humanities (General Engineering), R.M.K. College of Engineering and Technology, Thiruvallur, Gummidipoondi, India; Department of Computer Science & Engineering (Data Science), Madanapalle Institute of Technology & Science, Andhra Pradesh, Madanapalle, India | 59446316300; 57209398365; 57211322070; 58832808000; 57214345334; 59444900500; 57212324259 | tsehayadmassu2006@gmail.com; | Bulletin of Electrical Engineering and Informatics | 2089-3191 | 14 | 1 | 0 | 2025-05-07 | 0 | Fake news; Hate speech; Kafi-noonoo; Opinionated text; Sentiment analysis | English | Final | 2025 | 10.11591/eei.v14i1.8568 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Book chapter | Android Malware Detection Based on Novel Representations of Apps | In the past decade, advancements in computer vision (CV) and natural language processing (NLP) have been driven significantly by deep representation learning. This progress has made image and text representation learning appealing for applications in fields like malware detection, where deep learning methods can overcome the limitations of traditional hand-crafted feature-based approaches, offering enhanced adaptability to various malware variants. This chapter introduces two novel approaches in malware representation learning that leverage these advancements: DexRay and DexBERT. DexRay employs image-based techniques, transforming DEX file bytecode of apps into grayscale “vector” images. These images are then analyzed using a one-dimensional convolutional neural model to determine the presence of malware. DexBERT, inspired by the BERT language model, processes Smali instructions disassembled from bytecode to generate high-level embedding vectors. These vectors are pivotal for tasks such as malicious code localization and malware detection. Both DexRay and DexBERT have demonstrated significant improvements over traditional machine learning methods in malware detection, particularly in terms of accuracy, efficiency, and adaptability to new malware types. This chapter delves into the methodologies and experimental results of these techniques, highlighting their contributions to the field of malware detection and offering insights into their potential for broader applications in cybersecurity. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. | Sun, Tiezhu; Daoudi, Nadia; Allix, Kevin; Samhi, Jordan; Kim, Kisub; Zhou, Xin; Kabore, Abdoul Kader; Kim, Dongsun; Lo, David; Bissyandé, Tegawendé François; Klein, Jacques | SnT, University of Luxembourg, Luxembourg, Luxembourg; Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg; Independent Researcher, Rennes, France; CISPA – Helmholtz Center for Information Security, Saarbrucken, Germany; Singapore Management University, Singapore, Singapore; Singapore Management University, Singapore, Singapore; SnT, University of Luxembourg, Luxembourg, Luxembourg; Kyungpook National University, Buk-gu, Daegu, South Korea; Singapore Management University, Singapore, Singapore; SnT, University of Luxembourg, Luxembourg, Luxembourg; SnT, University of Luxembourg, Luxembourg, Luxembourg | 57475581500; 57224081686; 56121446600; 57219767450; 57200368137; 57770923400; 57219785363; 55742964600; 35269388000; 36080354200; 56282553000 | tiezhu.sun@uni.lu; | Advances in Information Security | 1568-2633 | 91 | 0 | 2025-05-07 | 0 | English | Final | 2025 | 10.1007/978-3-031-66245-4_8 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | Angelica gigas Nakai extract exerts anti-obesity effects by inducing lipolysis and thermogenesis in 3T3-L1 adipocytes | Angelica gigas Nakai (AGN) is a widely utilized herbal remedy in traditional oriental medicine, recognized for its anti-cancer, anti-oxidant, and immune-enhancing effects. Previous studies have AGN’s anti-obesity effects, suppressing adipocyte differentiation and alleviating hepatic steatosis and dyslipidemia. However, the effects of AGN on lipolysis and thermogenesis in adipocytes have not yet been reported. In this study, we confirmed AGN’s ability to induce lipolysis through the protein kinase A (PKA)-mediated activation of hormone sensitive lipase (HSL) in 3T3-L1 adipocytes and to promote uncoupling protein 1 (UCP1)-dependent thermogenesis by utilizing free fatty acid (FFA) as substrates. AGN significantly reduced lipid accumulation in 3T3-L1 adipocytes while simultaneously increasing the release of glycerol and FFAs. Furthermore, AGN increased the phosphorylation of PKA-specific HSL residues (ser563 and ser660) and perilipin at the protein level. Pre-treatment with the PKA inhibitor, H89, reduced this phosphorylation, confirming its role in AGN-induced lipolysis. In addition, AGN increased intracellular FFA availability by activating peroxisome proliferator-activated receptor alpha and modulating the primary components of thermogenic functions, including UCP1. Collectively, this study is the first to demonstrate AGN’s ability to enhance lipolysis and thermogenesis, a previously unreported mechanism for triglyceride metabolism. © The Korean Society for Applied Biological Chemistry 2025. | Park, Juhye; Lee, Eunbi; Nam, Ju-Ock | School of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea, Research institute of Tailored Food Technology, Kyungpook National University, Daegu, 41566, South Korea | 58508479500; 57798039800; 7201496105 | namjo@knu.ac.kr; | Journal of Applied Biological Chemistry | 1976-0442 | 68 | 1 | 0 | 2025-06-11 | 0 | Angelica gigas Nakai; Anti-obesity; Lipolysis Thermogenesis | English | Final | 2025 | 10.3839/jabc.2025.026 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Anti-Inflammatory and Antioxidant Effects of Urceola polymorpha (Pierre ex Spire) D.J.Middleton & Livsh. Extract via Regulation of the NF-κB Pathway; [Urceola polymorpha (Pierre ex Spire) D.J.Middleton & Livsh. 추출물의 NF-κB 경로 조절을 통한 항염증 및 항산화 효과] | Plants of the Urceola genus have been used as traditional medicinal foods in Asia. The antimicrobial effects of the leaves of Urceola rosea (Hook. & Arn.) D.J.Middleton, a species within the genus, has been reported. However, the anti-inflammatory effects of Urceola polymorpha (Pierre ex Spire) D.J.Middleton & Livsh. remain unclear. Therefore, this study aimed to evaluate U. polymorpha (Pierre ex Spire) D.J.Middleton & Livsh. extracts (UPE) with respect to inflammation and oxidative stress in murine macrophage RAW 264.7 cells. UPE significantly inhibited lipopolysaccharide (LPS)-induced expression of inducible nitric oxide synthase and the production of nitric oxide (NO) in a dose-dependent manner in the RAW 264.7 cells. In addition, UPE significantly suppressed LPS-induced phosphorylation of p65, I kappa B, and I kappa B kinase in the RAW 264.7 cells. Using the 2′,7′-dichlorofluorescein diacetate probe, we showed that UPE significantly inhibited LPS-induced reactive oxygen species (ROS) production in RAW 264.7 cells. Moreover, 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) and 2,2-diphenyl-1-picrylhydrazyl assays confirmed that UPE has antioxidant activity equivalent to 62.70±0.01 mg and 10.49 mg of ascorbic acid, respectively. In conclusion, UPE could have the potential to prevent inflammation by inhibiting the nuclear factor-kappa B (NF-κB) signaling pathway-mediated NO and ROS production. © 2025 The Korean Society of Food Science and Nutrition. | Jo, Hyeon Jeong; Bach, Tran The; Eum, Sang Mi; Jung, Sung Keun | School of Food Science & Biotechnology, Kyungpook National University, South Korea; Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, South Korea; International Biological Material Research Center, Korea Research Institute of Bioscience & Biotechnology, South Korea; School of Food Science & Biotechnology, Kyungpook National University, South Korea, Research Institute of Tailored Food Technology, Kyungpook National University, South Korea | 59671329200; 35083068900; 57190213767; 35310491400 | skjung04@knu.ac.kr; | Journal of the Korean Society of Food Science and Nutrition | 1226-3311 | 54 | 2 | 0 | 2025-05-07 | 0 | anti-inflammation; antioxidant; health functional food; NF-κB; Urceola polymorpha (Pierre ex Spire) D.J.Middleton & Livsh. extracts | Korean | Final | 2025 | 10.3746/jkfn.2025.54.2.157 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Anti-inflammatory Constituents from Artemisia iwayomogi Kitamura: A Bioassay-guided Fractionation Study | Bioassay-guided fractionation of the methanolic extract of Artemisia iwayomogi Kitamura led to the isolation of 12 known compounds (1‒12). Notably, this study marks the first report of 3-epimeridinol (1) being isolated and structurally characterized from a natural source. Additionally, compounds 3, 4, and 7 were isolated from the Asteraceae family for the first time. The structural elucidation of the isolated compound was achieved through analysis of 1D, 2D NMR, and MS data. Upon evaluation of their inhibitory effects against lipopolysaccharide-induced nitric oxide production, compound 12 demonstrated significant inhibitory activity with greater potency than the reference compound quercetin. These results established A. iwayomogi as a promising source of anti-inflammatory agents. © 2025, Korean Society of Pharmacognosy. All rights reserved. | Vu, Ngoc Khanh; Le, Thi Thanh; Tran, Trong Trieu; Ha, Manh Tuan; Kim, Jeong Ah; Min, Byung Sun | College of Pharmacy, Drug Research and Development Center, Daegu Catholic University, Gyeongbuk, 38430, South Korea, Faculty of Pharmacy, Thanh Do University, Hanoi, 100000, Viet Nam; College of Pharmacy, Drug Research and Development Center, Daegu Catholic University, Gyeongbuk, 38430, South Korea; College of Pharmacy, Drug Research and Development Center, Daegu Catholic University, Gyeongbuk, 38430, South Korea; College of Pharmacy, Drug Research and Development Center, Daegu Catholic University, Gyeongbuk, 38430, South Korea, Faculty of Pharmacy, Thanh Do University, Hanoi, 100000, Viet Nam; College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, 41566, South Korea; College of Pharmacy, Drug Research and Development Center, Daegu Catholic University, Gyeongbuk, 38430, South Korea | 57217172502; 57350699400; 59426482800; 57189040434; 24722570900; 59452741700 | jkim6923@knu.ac.kr; bsmin@cu.ac.kr; | Natural Product Sciences | 1226-3907 | 31 | 1 | N/A | 0 | Anti-inflammatory; Artemisia iwayomogi; Asteraceae; Bioassay-guided isolation | animal cell; antibacterial activity; antiinflammatory activity; Artemisia; Artemisia iwayomogi Kitamura; Article; bioassay guided fractionation study; carbon nuclear magnetic resonance; cell viability assay; controlled study; electrospray mass spectrometry; fractionation; high performance liquid chromatography; MTT assay; nonhuman; nuclear magnetic resonance; nuclear magnetic resonance spectroscopy; physical chemistry; phytochemistry; proton nuclear magnetic resonance; RAW 264.7 cell line; thin layer chromatography | English | Final | 2025 | 10.20307/nps.2025.31.1.43 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Anti-Microbial Activity of Secondary Metabolites and Extracts Originated from Rhizospheric Streptomyces sp. | Due to the intensive research for about 50 years from the early 1900s, the period from the 1940s, to the 1960s was considered the golden age of development of the antibiotics. However, from the last two decades, there has been no innovation in the development of antibiotics. One possible explanation is the vast majority of easily accessible terrestrial bacteria has been researched. Nevertheless, with advancements in scientific technology, research is progressing by studying terrestrial and marine samples that were previously inaccessible or by awakening dormant genes in previously obtained strains. However, these methods have not led to the development of antibiotics with new mechanisms. In this paper, we aim to present the potential of Strep-tomyces species, belonging to the phylum Actinomycetota, as a promising source for discovering antimicrobial compounds by summarizing studies that report their antimicrobial activity among strains derived from the plant rhizosphere. © 2025, Korean Society of Pharmacognosy. All rights reserved. | Kim, Ki Hyun; Jang, Yo Han; Kwon, Yun | College of Pharmacy, Kyungpook National University, Daegu, 41566, South Korea; Department of Vaccine Biotechnology, Andong National University, Andong, 36729, South Korea; College of Pharmacy, Kyungpook National University, Daegu, 41566, South Korea | 59896980200; 59896360000; 56156932300 | yunkwon@knu.ac.kr; | Korean Journal of Pharmacognosy | 0253-3073 | 56 | 1 | 0 | 2025-06-11 | 0 | Actinomycete; Antibiotics; Rhizobacteria; Rhizosphere; Streptomyces | antibiotic agent; Actinobacteria; actinomycetota; antimicrobial activity; Article; metabolite; phylum; rhizobacteria; rhizosphere; scientific technology; Streptomyces | Korean | Final | 2025 | 10.22889/kjp.2025.56.1.1 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Antibacterial and Antibiofilm Activity of Commercial Mouthwashes against Streptococcus mutans: An In Vitro Study | Aim: The present study investigated the effects of four commercial mouthwashes (MWs) on the growth and biofilm formation of Streptococcus mutans. Materials and methods: Four types of MWs, namely Listerine®, TheraBreath®, Garglin Original®, and Himalayan Pink Salt®, were selected, and chlorhexidine (CHX) solution was used as a positive control. As an antibacterial test, the disk diffusion method was tested with four types of MW diluted to 100, 50, 20, 10, or 5%, respectively, and then colony-forming units (CFU) assay was performed with the 50% diluted MWs. In addition, the effect of MWs on the caries activity of S. mutans was confirmed by human saliva-coated biofilm formation assay and pH measurement. Data were expressed as means ± standard deviations, and the significance between variables was analyzed by the one-way analysis of variance (ANOVA). Statistical significance was defined as p-value 50% by all 50% diluted MWs. However, there were no significant differences between the MWs. Conclusion: The results of the current study confirmed that all commercial MWs used in the experiment showed high antibacterial and antibiofilm activity against S. mutans even at 50% dilution. Clinical significance: The present study provides findings that commercial MWs, even when diluted to 50%, exhibit similar antibacterial and antibiofilm effects as the original solution. Oral health professionals can use this information to suggest diluted MWs for use in patients who are reluctant to use MWs due to irritation. © The Author(s). 2025 Open Access. | Liu, Zhibin; Huang, Ke; Kim, Ki-Rim | Department of Animal Science and Biotechnology, Research Institute for Innovative Animal Science, Kyungpook National University, Sangju, South Korea; Department of Animal Science and Biotechnology, Research Institute for Innovative Animal Science, Kyungpook National University, Sangju, South Korea; Department of Dental Hygiene, Kyungpook National University, Sangju, South Korea | 58640210100; 58639636600; 35793746200 | kirim0804@gmail.com; | World Journal of Dentistry | 0976-6006 | 16 | 3 | 0 | 2025-06-11 | 0 | Antibacterial; Antibiofilm; Growth; Mouthwash; Streptococcus mutans | English | Final | 2025 | 10.5005/jp-journals-10015-2608 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Antioxidant and anti-wrinkle effects of fermented Houttuynia cordata extract | This study aimed to evaluate the potential of fermented Houttuynia cordata extract as a new material for improving skin conditions by comparing its antioxidant and anti-wrinkle physiological activities after fermentation with the beneficial lactic acid bacteria, Lactobacillus plantarum KCTC 3108. The results showed that the fermented Houttuynia cordata extract (FEEH) exhibited higher total polyphenol and flavonoid content compared to the non-fermented Houttuynia cordata extract (EEH), as well as superior antioxidant activity in 2,2'-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical scavenging, ferric reducing antioxidant power (FRAP) activity, and superoxide dismutase (SOD)-like activity. Additionally, FEEH demonstrated higher elastase inhibition rates and collagen production, confirming its excellent anti-wrinkle effects. These findings suggest that the fermentation process can enhance the functional components of Houttuynia cordata extract, increasing its antioxidant activity and skin improvement effects. FEEH shows potential as a natural antioxidant and anti-wrinkle ingredient. Further clinical trials and commercialization strategies should be considered for future research. Copyright © 2025 The Korean Society of Food Preservation. | Park, Mi Hye; Kim, Bumsik | Department of Food Science and Nutrition, Kyungpook National University, Daegu, 41566, South Korea; Department of Food and Nutrition, Yeonsung University, Anyang, 14011, South Africa | 57200230726; 58671759100 | bumsik@yeonsung.ac.kr; | Food Science and Preservation | 3022-5477 | 32 | 2 | 0 | 2025-06-11 | 0 | anti-wrinkle; antioxidant; fermentation; Houttuynia cordata; Lactobacillus | English | Final | 2025 | 10.11002/fsp.2025.32.2.280 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Review | Application of Generative Artificial Intelligence in Dyslipidemia Care | Dyslipidemia dramatically increases the risk of cardiovascular diseases, necessitating appropriate treatment techniques. Generative AI (GenAI), an advanced AI technology that can generate diverse content by learning from vast datasets, provides promising new opportunities to address this challenge. GenAI-powered frequently asked questions systems and chatbots offer continuous, personalized support by addressing lifestyle modifications and medication adherence, which is crucial for patients with dyslipidemia. These tools also help to promote health literacy by making information more accessible and reliable. GenAI helps healthcare providers construct clinical case scenarios, training materials, and evaluation tools, which supports professional development and evidence-based practice. Multimodal GenAI technology analyzes food images and nutritional content to deliver personalized dietary recommendations tailored to each patient's condition, improving long-term nutritional management for those with dyslipidemia. Moreover, using GenAI for image generation enhances the visual quality of educational materials for both patients and professionals, allowing healthcare providers to create real-time, customized visual aids. To apply successfully, healthcare providers must develop GenAI-related abilities, such as prompt engineering and critical evaluation of GenAI-generated data. © 2025 The Korean Society of Lipid and Atherosclerosis. | Ahn, Jihyun; Kim, Bokyoung | Department of Internal Medicine, Korea Medical Institute, Seoul, South Korea; College of Nursing, Research Institute of Nursing Innovation, Kyungpook National University, Daegu, South Korea | 57543390400; 59397453600 | bonnie@knu.ac.kr; | Journal of Lipid and Atherosclerosis | 2287-2892 | 14 | 1 | 0 | 2025-05-07 | 0 | Dyslipidemia; Education, medical, continuing; Generative artificial intelligence; Patient care management; Patient education as topic | lipid; atherosclerosis; cardiovascular disease; chatbot; dyslipidemia; evidence based practice; generative artificial intelligence; health care personnel; health literacy; human; Korean (people); lifestyle modification; male; medical education; medication compliance; patient care; patient education; professional development; prompt engineering; review; therapy; visual aid | English | Final | 2025 | 10.12997/jla.2025.14.1.77 | 바로가기 | 바로가기 |
페이지 이동: