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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
Article Ensemble of convolution neural networks for driver smartphone usage detection using multiple cameras Approximately 1.3 million people die from traffic accidents each year, and smartphone usage while driving is one of the main causes of such accidents. Therefore, detection of smartphone usage by drivers has become an important part of distracted driving detection. Previous studies have used single camera-based methods to collect the driver images. However, smartphone usage detection by employing a single camera can be unsuccessful if the driver occludes the phone. In this paper, we present a driver smartphone usage detection system that uses multiple cameras to collect driver images from different perspectives, and then processes these images with ensemble convolutional neural networks. The ensemble method comprises three individual convolutional neural networks with a simple voting system. Each network provides a distinct image perspective and the voting mechanism selects the final classification. Experimental results verified that the proposed method avoided the limitations observed in single camera-based methods, and achieved 98.96% accuracy on our dataset. © The Korea Institute of Information and Communication Engineering. Zhang, Ziyi; Kang, Bo-Yeong School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, 41566, South Korea 57218548920; 26643468300 kby09@knu.ac.kr; Journal of Information and Communication Convergence Engineering 2234-8255 18 2 0.21 2025-06-25 3 Convolutional neural networks; Ensemble; Multi-camera; Smartphone usage detection English Final 2020 10.6109/jicce.2020.18.2.75 바로가기 바로가기
Book chapter Environmental pollution and their socioeconomic impacts Environmental pollution is increasingly becoming an issue of significant public interest in many developing countries and the international community at large. The growing socioeconomic developments as witnessed globally in recent times due to rapid urbanization and industrialization have led to the overexploitation of natural resources, while inadvertently resulted in severe environmental problems. In this chapter, we attempted to present the effect of environmental pollution to our physical environment as well as its socioeconomic impacts. Specifically, we focused more on the major types of pollution, which are widely recognized as international public health problems, namely, land/soil, water, air, noise, and plastic/microplastic pollution, enumerating their effects and how they have acted as an obstruction to the social and economic progress by placing tremendous pressure on resources and environment. Possible ways of ensuring environmental quality and sustainability leading to improved public health and well-being alongside with different kinds of intervention were proposed. © 2021 Elsevier Inc. Ajibade, Fidelis O.; Adelodun, Bashir; Lasisi, Kayode H.; Fadare, Oluniyi O.; Ajibade, Temitope F.; Nwogwu, Nathaniel A.; Sulaymon, Ishaq D.; Ugya, Adamu Y.; Wang, Hong Cheng; Wang, Aijie Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, Key Laboratory of Environmental Biotechnology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, China; Department of Agricultural and Biosystems Engineering, University of Ilorin, Ilorin, Nigeria, Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, South Korea; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, University of Chinese Academy of Sciences, Beijing, China, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; University of Chinese Academy of Sciences, Beijing, China, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, University of Chinese Academy of Sciences, Beijing, China, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria; University of Chinese Academy of Sciences, Beijing, China, Huairou Eco-Environmental Observatory, Chinese Academy of Sciences, Beijing, China; Department of Environmental Management, Kaduna State University, Kaduna, Nigeria, College of New Energy and Environment, Jilin University, Changchun, China; Key Laboratory of Environmental Biotechnology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Environmental Biotechnology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China 57190341647; 57193774482; 57208598946; 57208823144; 57208594522; 57218171559; 57202028433; 57196147048; 40462542900; 7404619701 Microbe Mediated Remediation of Environmental Contaminants 23.55 2025-06-25 150 Bioremediation; Environment; Environmental pollution; Public health; Socioeconomic impacts English Final 2020 10.1016/b978-0-12-821199-1.00025-0 바로가기 바로가기
Article Environmental sustainability and water productivity on conservation tillage of irrigated maize in red brown terrace soil of Bangladesh Conservation tillage (CA) is an option for maintaining soil health and the surrounding environment for intensive agriculture, especially on the tropical climate. A three years lengthy research experiment was performed in arid climate from 2014 to 2016 at Bangladesh Agricultural Research Institute (BARI) to evaluate the effect of conservation tillage approaches on environmental sustainability and water productivity of irrigated maize cultivation. The conservation tillage practices (Zero tillage-ZT and Minimum tillage-MT) are evaluated in comparison to the traditional farmer's practices. Amongst these, the treatment combination having MT with optimum irrigation best suits for cost-effective sustainable technique in maize cultivation without compromising with the yield at the dry season in the red brown terrace soil of Bangladesh. This combination of CA treatment is environment-friendly for maize cultivation as the treatment combination consumes the lowest amount of fuel (29.70 L/ha) for tilling purposes and required fewer water resources (only 2 time irrigation) for irrigation purposes and thus reduces the amount of carbon dioxide and other emitted toxic gaseous molecules to the surrounding environment. Therefore, MT with optimum irrigation is evaluated as the best options for continuous maize cultivation in the red brown terrace soil without any yield penalty. © 2019 The Authors Sayed, Abu; Sarker, Aniruddha; Kim, Jang-Eok; Rahman, Mashiur; Mahmud, Md. Golam Ambia Faculty of Agriculture, Exim Bank Agricultural University Bangladesh (EBAUB), Chapainawabgonj-6300, Bangladesh; Faculty of Agriculture, Exim Bank Agricultural University Bangladesh (EBAUB), Chapainawabgonj-6300, Bangladesh, School of Applied Biosciences, Kyungpook National University (KNU), Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University (KNU), Daegu, 41566, South Korea; Department of Chemical and Biochemical Engineering, Technical University of Denmark, Denmark, Farm Machinery and Post Harvesting Process Engineering Division, Bangladesh Agricultural Research Institute (BARI), Gazipur, Bangladesh; Department of Water Resource Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh 58833382000; 57211874397; 7601387161; 57217035380; 57207988358 fagunaniruddha@gmail.com; Journal of the Saudi Society of Agricultural Sciences 1658-077X 19 4 2.39 2025-06-25 24 Conservation tillage; Minimum tillage; Optimum irrigation; Sustainable technique English Final 2020 10.1016/j.jssas.2019.03.002 바로가기 바로가기
Article Epitope Peptide Amphiphile-Based Nanofiber as an Effective Vaccine for Viral Infectious Diseases Peptide-based vaccines are relatively safe but have weak immune responses even with an adjuvant. In order to overcome the limitations of peptide-based vaccines, we developed peptide amphiphile (PA)-based nanofibers to enhance the immune responses for preventing enterovirus 71 (EV71) infectious disease (i.e., Hand, Foot, and Mouth Disease). PAs are peptides conjugated with fatty acid alkyl chain and able to self-assemble into various structures including high-aspect-ratio nanofibers. We designed PAs by coupling EV71 virus particle 1 (VP1) epitope peptides and spacer-crosslinker to the N-terminal of long-chain fatty acids (VP1-PA). PAs then self-assembled into nanofibers at physiological pH (pH 7.4). PA nanofibers were characterized by atomic force microscopy (AFM). For the immunization studies, C57BL/6 mice were injected intraperitoneally (i.p.) with recombinant VP1 with adjuvant ( alum), VP1 epitope peptide with or without adjuvant, VP1-PA nanofibers with or without adjuvant, and PBS. To assess the immunogenecity of the VP1-PA nanofibers on serum samples from the immunized mice was analyzed by Western blot for the evaluation of VP1-specific IgG. The PA group showed a higher immune response than the peptide group. We expect that self-assembling VP1-PA based nanofibers as an immune stimulator could enhance immune responses effectively against EV71 infection and overcome the limitations of peptide-based vaccine. Kim, Yu-Gyeong; Lee, Yunsu; Jung, Jong-Wha; Jin, Hyo-Eon Ajou Univ, Coll Pharm, Suwon 16499, South Korea; Kyungpook Natl Univ, Coll Pharm, Res Inst Pharmaceut Sci, Daegu 41566, South Korea; Ajou Univ, Res Inst Pharmaceut Sci & Technol, Suwon 16499, South Korea JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY 1533-4880 1533-4899 20 9 5 Peptide Amphiphile; Self-Assembly; Nanofiber; Vaccine; Infectious Disease DELIVERY English 2020 2020-09 10.1166/jnn.2020.17655 바로가기 바로가기
Article EQUIVALENCE CONSTANTS FOR THE lp-NORMS AND THE lq-SYMMETRIC MULTILINEAR OPERATOR NORMS OF VECTORS IN Cⁿ We investigate the best equivalence constants for the l(p)-norms and the l(q)-symmetric multilinear operator norms of vectors in C-n which are induced by symmetric n-linear forms. In this paper, we provides estimates which are either best possible or close to best possible. Kim, Sung Guen Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea 34769667700 sgk317@knu.ac.kr; COMMUNICATIONS OF THE KOREAN MATHEMATICAL SOCIETY COMMUN KOREAN MATH S 1225-1763 2234-3024 35 2 ESCI MATHEMATICS 2020 N/A 0.17 2025-06-25 1 1 Equivalence constants for certain norms on C-n MATRIX NORMS Equivalence constants for certain norms on C<sup>n</sup> English 2020 2020 10.4134/ckms.c190224 바로가기 바로가기 바로가기 바로가기
Erratum Erratum: A new bioluminescent reporter system to study the biodistribution of systematically injected tumor-derived bioluminescent extracellular vesicles in mice (Oncotarget (2017) 8 (109894-109914) DOI: 10.18632/oncotarget.22493) This article has been corrected: During the assembly of images for Figure 5, the image for Day 1 in the control (PBS) group, seen in panel A, was erroneously copied to Day 2 as well. The corrected Figure 5, obtained using the original data, is shown below. The authors declare that these corrections do not change the results or conclusions of this paper. © Copyright: Gangadaran et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Gangadaran, Prakash; Li, Xiu Juan; Lee, Ho Won; Oh, Ji Min; Kalimuthu, Senthilkumar; Rajendran, Ramya Lakshmi; Son, Seung Hyun; Baek, Se Hwan; Singh, Thoudam Debraj; Zhu, Liya; Jeong, Shin Young; Lee, Sang-Woo; Lee, Jaetae; Ahn, Byeong-Cheol Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea, Department of Medical Oncology, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi, 110029, India; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea; Department of Nuclear Medicine, Kyungpook National University, School of Medicine and Hospital, Daegu, 700-721, South Korea 54393130400; 57206741719; 35337240700; 57190370462; 54794141400; 57195318729; 56596907400; 57194785139; 55190689800; 57190870383; 36164032500; 57196249819; 7601451907; 7202791511 Oncotarget 1949-2553 11 11 0 2025-06-25 1 erratum English Final 2020 10.18632/oncotarget.27473 바로가기 바로가기
Erratum Erratum: Autophagy induction by leptin contributes to suppression of apoptosis in cancer cells and xenograft model: Involvement of p53/FoxO3A axis (Oncotarget (2015) 6 (7166-7181) DOI: 10.18632/oncotarget.3347) This article has been corrected: During figure processing, identical Western blot images were mistakenly placed in both Fig. 2E and 2F. The existing image in Figure 2F is correct; the image for 2E was the incorrect duplicate. The corrected Figure 2E, obtained using original data, is shown below. The authors declare that these corrections do not change the results or conclusions of this paper. © Nepal et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Nepal, Saroj; Kim, Mi Jin; Hong, Jin Tae; Kim, Sang Hyun; Sohn, Dong-Hwan; Lee, Sung Hee; Song, Kyung; Choi, Dong Young; Lee, Eung Seok; Park, Pil-Hoon College of Pharmacy, Yeungnam University, Gyeongsangbuk-do, South Korea; College of Pharmacy, Yeungnam University, Gyeongsangbuk-do, South Korea; College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, Chungbuk, South Korea; Department of Pharmacology, School of Medicine, Kyungpook National University, Daegu, South Korea; Institute of Pharmaceutical Research and Development, College of Pharmacy, Wonkwang University, Iksan, Jeonbuk, South Korea; Institute of Pharmaceutical Research and Development, College of Pharmacy, Wonkwang University, Iksan, Jeonbuk, South Korea; Institute of Pharmaceutical Research and Development, College of Pharmacy, Wonkwang University, Iksan, Jeonbuk, South Korea; College of Pharmacy, Yeungnam University, Gyeongsangbuk-do, South Korea; College of Pharmacy, Yeungnam University, Gyeongsangbuk-do, South Korea; College of Pharmacy, Yeungnam University, Gyeongsangbuk-do, South Korea 57192374944; 57210854915; 55657116500; 57210450420; 57217464758; 34872488400; 57214373824; 8585214900; 15757775300; 9733179800 Oncotarget 1949-2553 11 30 1.22 2025-06-25 1 erratum English Final 2020 10.18632/oncotarget.27467 바로가기 바로가기
Erratum Erratum: Calculation of the stacking fault energy by using the anisotropic next-nearest neighbor ising model (New Physics: Sae Mulli (2020) 70 (630) DOI: 10.3938/NPSM.70.630) [No abstract available] Jeong, Byeong-Hyeon; Park, Ji-Sang Department of Physics, Kyungpook National University, Daegu, 41566, South Korea; Department of Physics, Kyungpook National University, Daegu, 41566, South Korea 57219744897; 36671796300 jsparkphys@knu.ac.kr; New Physics: Sae Mulli 0374-4914 70 11 0 2025-06-25 0 Korean Final 2020 10.3938/npsm.70.1021 바로가기 바로가기
Erratum Erratum: Life lessons: Two experts on death and dying teach us about the mysteries of life and living (J Korean Acad Child Adolesc Psychiatry, (2019) 30(4), (185-188), 10.5765/jkacap.190024) In the section on page 185 of the book review, the name of the late doctor was incorrectly stated. The correct name should be: It discusses the history of human violence, a topic I have often pondered upon since the murder of renowned Korean psy-chiatrist, Dr. Se-Won Lim, by his own patient on the final day of 2018. © 2020 Korean Academy of Child and Adolescent Psychiatry. Chung, Un Sun Department of Psychiatry, Kyungpook National University Children’s Hospital, Daegu, South Korea, Department of Psychiatry, Division of Child and Adolescent of Psychiatry, University of Florida, FL, United States 24477437300 Journal of the Korean Academy of Child and Adolescent Psychiatry J KOR ACAD CHILD ADO 1225-729X 2233-9183 31 2 ESCI PSYCHIATRY 2020 N/A 0 2025-06-25 0 English Final 2020 10.5765/jkacap.190024e 바로가기 바로가기 바로가기
Conference paper Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks Advanced diffusion models for tissue microstructure are widely employed to study brain disorders. However, these models usually require diffusion MRI (DMRI) data with densely sampled q-space, which is prohibitive in clinical settings. This problem can be resolved by using deep learning techniques, which learn the mapping between sparsely sampled q-space data and the high-quality diffusion microstructural indices estimated from densely sampled data. However, most existing methods simply view the input DMRI data as a vector without considering data structure in the q-space. In this paper, we propose to overcome this limitation by representing DMRI data using graphs and utilizing graph convolutional neural networks to estimate tissue microstructure. Our method makes full use of the q-space angular neighboring information to improve estimation accuracy. Experimental results based on data from the Baby Connectome Project demonstrate that our method outperforms state-of-the-art methods both qualitatively and quantitatively. © 2020, Springer Nature Switzerland AG. Chen, Geng; Hong, Yoonmi; Zhang, Yongqin; Kim, Jaeil; Huynh, Khoi Minh; Ma, Jiquan; Lin, Weili; Shen, Dinggang; Yap, Pew-Thian Department of Radiology and BRIC, University of North Carolina, Chapel Hill, United States; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, United States; School of Information Science and Technology, Northwest University, Xi’an, China; School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, United States; Department of Computer Science and Technology, Heilongjiang University, Harbin, China; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, United States; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, United States; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, United States 56903235100; 57208924707; 55844866500; 57211615348; 57209227447; 36078806400; 7406521110; 7401738392; 7102482475 ptyap@med.unc.edu; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 0302-9743 12267 LNCS 1.57 2025-06-25 17 Diffusion MRI; Graph CNN; Microstructure imaging Convolution; Deep learning; Diffusion; Magnetic resonance imaging; Medical computing; Medical imaging; Microstructure; Tissue; Tissue engineering; Vector spaces; Brain disorders; Clinical settings; Diffusion model; Learning techniques; Micro-structural; Neighboring information; State-of-the-art methods; Tissue microstructures; Convolutional neural networks English Final 2020 10.1007/978-3-030-59728-3_28 바로가기 바로가기
Book chapter Ethnic fermented foods and beverages of Tamil Nadu Traditional foods and beverages derived from the natural fermentation of different food substrates have contributed to the dietary intake of the people of Tamil Nadu including Sri Lankan Tamils and states bordering Tamil Nadu since the early times. These can be broadly grouped as cereal, largely rice- and or millet-based foods and beverages produced by mixed natural fermentation which are nonalcoholic and palm sap-derived alcoholic beverages. The ethnicity and cultural traditions associated with these foods are discussed in addition to the research studies that have documented the science and the newer technologies that have been explored. While data on many foods is minimal or lacking such as pathaneer/neera and toddy (kallu) from palm, extensive studies have been done on idli especially over the last 10 to 15 years. Idli has moved from pan-Indian to global, and the batter production has been successfully commercialized both within and outside India. However, others like pazhaya sadham, which was considered everyday food, are mainly used only among the economically poor and rural households. Millet-based koozh considered a health food is widely consumed by the majority during specific festivals and remains a popular street food even today. Typical dairy fermented foods include curd rice/dahi bath called thayir sadham, spiced buttermilk called moru and the gravy made from curd or buttermilk called mor kuzhambu which are commonly consumed. This chapter focusses on some of these foods based on the data available on them. Recently, a few niche restaurants are introducing many traditional foods for the migrant consumer who is nostalgic for ethnic and traditional foods indicating a trend for revival. The need to study and document these foods is emphasized especially in the current context of the role of microbes in human and animal health as well as ecological sustainability. © Springer Nature Singapore Pte Ltd. 2020. Antony, Usha; Ilango, Shankar; Chelliah, Ramachandran; Ramakrishnan, Sudha Rani; Ravichandran, Kavitha College of Fish Nutrition and Food Technology, Tamilnadu Dr J Jayalalithaa Fisheries University, Madhavaram, Chennai, Tamilnadu, India; Department of Biotechnology, Centre for Food Technology, Anna University, Chennai, Tamilnadu, India; Department of Food Science and Biotechnology, Kangwon National University, Chuncheon, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, South Korea; Department of Biotechnology, Centre for Food Technology, Anna University, Chennai, Tamilnadu, India 6602473294; 56644568800; 55954049700; 57190606907; 57196507979 Ethnic Fermented Foods and Beverages of India: Science History and Culture 2.38 2025-06-25 11 Fermented foods of Tamil Nadu; Idli; Kallu; Koozh; Pazhya sadham; Thayir English Final 2020 10.1007/978-981-15-1486-9_19 바로가기 바로가기
Article Evaluating cytotoxicity of methyl benzoate in vitro Methyl benzoate (MB) is a small, hydrophobic organic compound that is isolated from the freshwater fern, Salvinia molesta. Because of its pleasant odor, it has been used as a fragrance and flavor enhancer. In addition, it is used to attract orchid bees for pollination in the farm and has been tested for its potential to be developed as a green pesticide targeting a diverse group of insects. In spite of its wide applications, the safety of MB to humans remains poorly understood. In this study, we tested the cytotoxicity of MB against cultured human cells, including kidney, colon, and neuronal cells. Furthermore, other natural and synthetic benzoic acids such as ethyl benzoate (EB) and vinyl benzoate (VB) were compared with MB for their similarity and broad commercial and industrial applications. We found that MB and VB have the least and most overall toxicity to the tested human cells, respectively. In addition, the expression of some genes involved in cell cycle, protein quality control, and neurotransmission such as cyclin D1, HSP70, and ACHE genes was differentially expressed in the presence of these chemicals, most noticeably in treatment of VB. Our study provided the LC50 values of these benzoic acids for human cells in vitro and suggested their mild toxicity that should be considered in the industrial and agricultural applications to be within safe limits. Bunch, Heeyoun; Park, Jungeun; Ch, Hyeseung; Mostafiz, Md Munir; Kim, Jang-Eok; Lee, Kyeong-Yeoll Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu 41566, South Korea Mostafiz, Md. Munir/AAD-7664-2019; Bunch, Heeyoun/JAX-3215-2023 56336812200; 58363479900; 57209466586; 57204895546; 7601387161; 57217153096 hbunch@knu.ac.kr; HELIYON HELIYON 2405-8440 6 2 ESCI MULTIDISCIPLINARY SCIENCES 2020 N/A 0.27 2025-06-25 9 9 Agricultural science; Pesticide; Environmental health; Toxicology; Methyl benzoate; Cytotoxicity; Gene expression EMISSION; BIOSYNTHESIS; CONSTITUENTS; PESTICIDES; BEHAVIOR; STRESS Agricultural science; Cytotoxicity; Environmental health; Gene expression; Methyl benzoate; Pesticide; Toxicology English 2020 2020-02 10.1016/j.heliyon.2020.e03351 바로가기 바로가기 바로가기 바로가기
Article Evaluation of anti-inflammatory effect by regulating NF-κB pathway of Argyreia capitata (Vahl) Choisy extract in LPS-induced RAW 264.7 macrophages Argyreia capitata (Vahl) Choisy is a species of the genus Argyreia. Although many studies have analyzed the biological activity of A. nervosa, A. speciasa, and A. acuta, the anti-inflammatory effect of A. capitata extract (ACE) remains unclear. In this study, we evaluated the anti-inflammatory effect of ACE using lipopolysaccharide (LPS)-induced inflammatory markers in RAW 264.7 cells. We confirmed that the ACE inhibited the LPS-induced NO (nitric oxide) and iNOS (inducible nitric oxide synthase) expression in RAW 264.7 cells. ACE suppressed not only the LPS-induced phosphorylation of IKK, IκB, and p65 but also IL-1β expression. Collectively, these results suggest that ACE is a novel anti-inflammatory agent that suppresses iNOS expression, NO production, and the NF-κB signaling pathways. © 2020 The Korean Society of Food Science and Technology. Yeum, Ga Hee; So, Bo Ram; Bach, Tran The; Eum, Sang Mi; Jung, Sung Keun School of Food Science and Biotechnology, Kyungpook National University, South Korea; School of Food Science and Biotechnology, Kyungpook National University, South Korea; Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology (VAST), Viet Nam; International Biological Material Research Center, Korea Research Institute of Bioscience & Biotechnology, South Korea; School of Food Science and Biotechnology, Kyungpook National University, South Korea 57219157020; 57218122440; 35083068900; 57190213767; 35310491400 skjung04@knu.ac.kr; Korean Journal of Food Science and Technology 0367-6293 52 3 0.08 2025-06-25 2 Anti-inflammatory effect; Argyreia capitata (Vahl) Choisy extract (ACE); Inflammatory cytokines; NF-κB (nuclear factor kappa-B); Nitric oxide (NO) Korean Final 2020 10.3839/10.9721/kjfst.2020.52.3.249 바로가기 바로가기
Article Evaluation of Denoising Filters Based on Edge Locations This paper presents a method to evaluate denoising filters based on edge locations in their denoised images. Image quality assessment has often been performed by using structural similarity (SSIM). However, SSIM does not provide clearly the geometric accuracy of features in denoised images. Thus, in this paper, a method to localize edge locations with subpixel accuracy based on adaptive weighting of gradients is used for obtaining the subpixel locations of edges in ground truth image, noisy images, and denoised images. Then, this paper proposes a method to evaluate the geometric accuracy of edge locations based on root mean squares error (RMSE) and jaggedness with reference to ground truth locations. Jaggedness is a measure proposed in this study to measure the stability of the distribution of edge locations. Tested denoising filters are anisotropic diffusion (AF), bilateral filter, guided filter, weighted guided filter, weighted mean of patches filter, and smoothing filter (SF). SF is a simple filter that smooths images by applying a Gaussian blurring to a noisy image. Experiments were performed with a set of simulated images and natural images. The experimental results show that AF and SF recovered edge locations more accurately than the other tested filters in terms of SSIM, RMSE, and jaggedness and that SF produced better results than AF in terms of jaggedness. Seo, Suyoung Kyungpook Natl Univ, Dept Civil Engn, Daegu, South Korea Seo, Suyoung/AAB-8465-2020 35198914000 syseo@knu.ac.kr; KOREAN JOURNAL OF REMOTE SENSING KOREAN J REMOTE SENS 1225-6161 2287-9307 36 4 ESCI REMOTE SENSING 2020 N/A 0 2025-06-25 0 0 Denoising; Edge; Location; Subpixel edge localization; SSIM; RMSE; Jaggedness Denoising; Edge; Jaggedness; Location; RMSE; SSIM; Subpixel edge localization English 2020 2020-08 10.7780/kjrs.2020.36.4.1 바로가기 바로가기 바로가기 바로가기
Article Evaluation of dissolution indices for planktic foraminifera in various environmental settings Fossil planktic foraminifera is a useful indicator of the paleoenvironment of the surface ocean. Because of its susceptibility to dissolution, various indices for preservation state of planktic foraminifera have been used to determine better the degree of bias introduced by the species-dependent resistance to dissolution. This study aims to evaluate six dissolution indices of foraminifera from four Pacific sites, each representing different surface and deep ocean condition. Compared to the fragmentation rate (F-LS), demanding and time-consuming but one of the most reliable dissolution indices regardless of the ambient environment, each index has different sensitivity on preservation state owing to the environmental factors. Carbonate fraction (CaCO3) and coarse sized fraction (CSF) are fairly well correlated with F-LS in the foraminifera-dominated tropical ocean where the influx of other sedimentary components is insignificant. The assemblage dissolution index (FDX) and percentage of resistant species (Res) based on the relative enrichment of dissolution-resistant species are best applicable at the central equatorial Pacific site without any significant changes in the primary faunal assemblage. The benthic/planktic ratio (B) varies with F-LS similarly at a productive Northwestern Pacific site, but should be carefully applied in many cases owing to the strong dependence of benthic foraminifera on food availability. The results of this study suggest the importance of rigorous application criteria of the foraminifera dissolution index in various depositional environments. Lee, Yuri; Seo, Inah; Hyeong, Kiseong; Lee, Seong-Joo Kyungpook Natl Univ, Dept Geol, Daegu 41566, South Korea; Korea Inst Ocean Sci & Technol, Global Ocean Res Ctr, Busan 49111, South Korea LEE, YU/JXY-2338-2024 56505710300; 55875582100; 6507363005; 48961279800 inahseo@kiost.ac.kr; JOURNAL OF THE GEOLOGICAL SOCIETY OF KOREA J GEOL SOC KOREA 0435-4036 2288-7377 56 1 ESCI GEOSCIENCES, MULTIDISCIPLINARY 2020 N/A 0 2025-06-25 0 0 planktic foraminifera; carbonate; dissolution index; Pacific Ocean CENTRAL EQUATORIAL PACIFIC; DEEP-SEA; CARBONATE DISSOLUTION; CALCIUM-CARBONATE; SURFACE SEDIMENTS; SELECTIVE SOLUTION; NORTHWEST PACIFIC; WESTERN; OCEAN; PRESERVATION Carbonate; Dissolution index; Pacific Ocean; Planktic foraminifera Korean 2020 2020-02 10.14770/jgsk.2020.56.1.47 바로가기 바로가기 바로가기 바로가기
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논문 데이터 용어 설명

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WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
SCOPUS Elsevier에서 제공하는 세계 최대 규모의 초록 및 인용 데이터베이스입니다. 해당 논문이 SCOPUS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
Authors 논문의 저자 목록입니다. 공동 저자가 여러 명인 경우 세미콜론(;)으로 구분됩니다.
Affiliation 저자들의 소속 기관 정보입니다. 대학, 연구소, 기업 등 저자가 소속된 기관명이 표시됩니다.
ResearcherID (WoS) Web of Science의 고유 연구자 식별번호입니다. 동명이인을 구분하고 연구자의 업적을 정확하게 추적할 수 있습니다.
AuthorsID (SCOPUS) SCOPUS의 고유 저자 식별번호입니다. 연구자의 모든 출판물을 추적하고 관리하는 데 사용됩니다.
Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.