267 research outputs found

    UHPLC-QTOF/MS๋ฅผ ํ™œ์šฉํ•œ building block ์ „๋žต ๋ฐ ์ด๋ฅผ ํ™œ์šฉํ•œ Gymnema ๋ฐ Gynostemma ์† triterpenoids ๋Œ€์‚ฌ์ฒด ํ”„๋กœํŒŒ์ผ๋ง ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์•ฝํ•™๋Œ€ํ•™ ์•ฝํ•™๊ณผ,2019. 8. Oh, Won Keun.๊ตญ๋ฌธ์ดˆ๋ก Part 1. Gymnema sylvestre๋Š” ์ „ํ†ต์ ์œผ๋กœ ์•„์œ ๋ฅด๋ฒ ๋‹ค ์˜ํ•™์—์„œ ๋‹น๋‡จ์น˜๋ฃŒ์— ์‚ฌ์šฉ๋˜์–ด์™”๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฒ ํŠธ๋‚จ๊ณผ ์ธ๋„์˜ Gymnema sylvestre์„ ํ˜•ํƒœํ•™์ ์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๊ณ  ๋ฒ ํŠธ๋‚จ์˜ Gymnema sylvestre์—์„œ ๋ถ„๋ฆฌํ•œ 6๊ฐœ์˜ ์‹ ๊ทœํ™”ํ•ฉ๋ฌผ (1-6)์˜ ์กฐ๊ฐ์ด์˜จ ํŒจํ„ด์„ ํ™”ํ•™์„ฑ๋ถ„ ๋ถ„์„์— ํ™œ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์‹๋ฌผ์˜ ๋ถ„๋ฆฌ ๋ฐ ๋™์ •์„ ํ†ตํ•˜์—ฌ ์ด๋ฏธ ์•Œ๊ณ  ์žˆ๋Š” ์กฐ๊ฐ์ด์˜จ์˜ ํŒจํ„ด๊ณผ ์ด ์‹๋ฌผ์˜ oleanane triterpenoid ์˜ ์ƒํ•ฉ์„ฑ ๊ณผ์ •์„ ํ† ๋Œ€๋กœ building block ์ „๋žต์„ ํ™œ์šฉํ•˜์—ฌ ๊ฐ๊ฐ์˜ ํ”ผํฌ๋ฅผ ๋™์ •ํ•˜์˜€๋‹ค. ์ด ๊ณผ์ •์—์„œ ์†Œ๋ถ„ํš, mass ์กฐ๊ฐ์ด์˜จ ํŒจํ„ด, relative mass defect filtering, reference์™€ ๋น„๊ต ๋“ฑ์˜ ๋ฐฉ๋ฒ•์ด ์ ์šฉ๋˜์—ˆ๋‹ค. ์ด 119๊ฐœ์˜ ํ”ผํฌ๊ฐ€ oleanane triterpenoid ๊ณ„์—ด๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ์œผ๋ฉฐ ๊ทธ ์ค‘ 77๊ฐœ์˜ ํ”ผํฌ๊ฐ€ ์‹ ๊ทœํ™”ํ•ฉ๋ฌผ์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. Part 2. ์ฒœ์—ฐ๋ฌผ์€ PTP1B์–ต์ œ๋ฅผ ํ†ตํ•œ ํ•ญ๋‹น๋‡จ ํšจ๊ณผ ํ›„๋ณด๋ฌผ์งˆ์˜ ํ›Œ๋ฅญํ•œ ์›์ฒœ์ด๋ฉฐ ์ด์— ๋”ฐ๋ผ ์„ ๋ณ„๋œ Korea Bioactive Natural Material Bank์˜ ์‹๋ฌผ์ถ”์ถœ๋ฌผ๋“ค์— ๋Œ€ํ•œ ์Šคํฌ๋ฆฌ๋‹ ์ž‘์—…์„ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ ๊ทธ ๊ฒฐ๊ณผ Gymnema latifolium 70% ์—ํƒ„์˜ฌ ์ถ”์ถœ๋ฌผ์ด PTP1B ์–ต์ œ ํšจ๋Šฅ์„ ๋ณด์˜€๋‹ค. ์ด๋Š” ํ˜„์žฌ ๋ฒ ํŠธ๋‚จ์—์„œ ํ•ญ๋‹น๋‡จ ์น˜๋ฃŒ์ œ๋กœ Gymnema latifolium์ด ํ™œ์šฉ๋˜๊ณ  ์žˆ๋Š” ๊ฒฐ๊ณผ์™€๋„ ์ผ์น˜ํ•˜์˜€๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” 14์ข…์˜ ์‹ ๊ทœ oleanane triterpene์ธ Gymlatinosides (1-14)์™€ 6๊ฐœ์˜ ๊ธฐ์ง€๋ฌผ์งˆ์„ ๋ถ„๋ฆฌ ๋™์ •ํ•˜์˜€๋‹ค. Gymlatinoside GL2์™€ GL3๋Š” ์ƒ๋ฆฌํ™œ์„ฑ ๊ฒฐ๊ณผ ๊ฐ๊ฐ IC50 ๊ฐ’ 28.66ยฑ2.57 ๊ณผ 19.83ยฑ0.40์„ ๋‚˜ํƒ€๋‚ด์–ด PTP1B๋ฅผ ์œ ์˜๋ฏธํ•˜๊ฒŒ ์–ต์ œํ•˜์˜€์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ building block ์ „๋žต์„ ์ด์šฉํ•˜์—ฌ 54๊ฐœ์˜ ์‹ ๊ทœ ํ”ผํฌ๋ฅผ ์ถ”์ •ํ•˜์˜€๋‹ค. Part 3. Gynostemma longipes ์—์„œ๋Š” 8์ข…์˜ ์‹ ๊ทœ 12,23-dione dammarane triterpenoid์™€ 1์ข…์˜ gypetonoside๊ฐ€ ๋ถ„๋ฆฌ๋˜์—ˆ์œผ๋ฉฐ building block ์ „๋žต์„ ์ด์šฉํ•˜์—ฌ 32๊ฐœ์˜ ํ”ผํฌ๊ฐ€ ์‹ ๊ทœ๋ฌผ์งˆ๋กœ ์ถ”์ •๋จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ถ„๋ฆฌํ•œ 9์ข…์˜ ํ™”ํ•ฉ๋ฌผ์— ๋Œ€ํ•ด์„œ๋Š” AMPK ํ™œ์„ฑ์„ ๊ฒ€์‚ฌํ•˜์˜€์œผ๋ฉฐ C2C12 ๊ทผ์œก์„ธํฌ์— 7์ข…์˜ ํ™”ํ•ฉ๋ฌผ (1, 3-8)์„ ์ฒ˜์น˜ํ•˜์˜€์„ ๊ฒฝ์šฐ AMPK ํ™œ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธํ•˜์˜€๋‹ค. ํ™”ํ•ฉ๋ฌผ 1์˜ ๊ฒฝ์šฐ ์‹๋ฌผ ๊ฑด์กฐ๋Ÿ‰ ๋Œ€๋น„ 2.08%์˜ ํ•จ๋Ÿ‰์„ ๊ฐ€์ง€๋Š” ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋˜์–ด ํ–ฅํ›„ ๊ธฐ๋Šฅ์„ฑ์‹ํ’ˆ์œผ๋กœ์˜ ๋ฐœ์ „ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” Gynostemma longipes์˜ AMPK ํ™œ์„ฑ์„ ํ†ตํ•œ ๊ทผ์œก์„ธํฌ ์ฆ์‹์„ ํ™•์ธํ•˜์˜€๋‹ค.The quality control of a medicinal plant requires a rapid, accurate, and comprehensive analysis of the chemical profile of the bioactive extract. Common HRMS-based compound annotations relied on the mass fragmentation analysis of detected peaks to identify the partial structure of the compounds before merging them together. Herein, we applied a universally accepted concept that most of the natural products of the same organic origin are generated by the same building blocks using several conservative biosynthetic processes. The detection of metabolites - both known and unknown - can be redefined by an inverse approach, in which, prebuilt natural products were predicted using key prefabricated LEGO-type building blocks and their biosynthetic construction rules. The conventional mass fragmentation pattern analysis and NMR experiments are for the confirmation of the existence of predicted compounds. Furthermore, we proposed a new idea of multilayer metabolite profiling, which provides simple, distinct, and comprehensive chromatogram interface with not only original information about retention time of metabolites, but also considerable insight into structure formation as well as the chemical relationship among plant metabolites. In this study, the building block strategy was applied effectively to explore the triterpenoid composition of three medicinal plants including Gymnema sylvestre, Gymnema latifolium and Gynostemma longipes. Overall, we expect this new approach can be used, with much practicality, for massive structural characterization and for exploring the biosynthetic relationships among various compounds in medicinal plants. Part 1: Discrimination of different geographic varieties of Gymnema sylvestre and development of a building block strategy to classification, identification and metabolite profiling of its oleanane triterpenoids The major class of bioactive metabolites in Gymnema sylvestre, a popular Ayurevedic medicinal plant for the treatment of diabetes mellitus, is oleanane triterpenoids. In this study, a targeted, biosynthesis-inspired approach using UHPLC-qTOF/MS was implemented to elucidate the whole chemical profile of the plant for the standardization of the Vietnamese G. sylvestre variety. The known compounds reported in the literature were first analyzed to identify the building blocks of the biosynthetic intermediates and the construction rules for synthesizing oleanane triterpenoids in the plant. These blocks were recombined to build up a theoretical virtual library of all reasonable compounds consistent with the deduced construction rules. Various techniques, including microfractionation, relative mass defect filtering, multiple key ion analysis, mass fragmentation analysis, and comparison with standard references, were applied to determine the presence of these predicted compounds. Conventional isolation and structure elucidation of 6 of the new compounds were carried out to identify new building blocks and validate the assignments. Consequently, 119 peaks were quickly assigned to oleanane triterpenoid, and among them, 77 peaks are predicted to be new compounds based on their molecular formulas and mass fragmentation patterns. All the identified metabolites were then classified into different layers to analyze their logical relationships and construct a multilayered chemical profile of the oleanane triterpenoids. Part 2: Oleanane triterpenoids from Gymnema latifolium and their PTP1B inhibitory activities Natural products are promising sources of lead compounds that play significant roles in the discovery of new antidiabetic agents via the mechanism of PTP1B inhibition. In our ongoing research to find PTP1B inhibitors from natural products, hundreds of plants extracts available in Korea Bioactive Natural Material Bank has been screened against this biological target. An extract of the Gymnema latifolium Wall. ex. Wight showed considerable PTP1B inhibitory activity. This result was in good agreement with the use of this plant in Vietnam as an antidiabetic herbal medicine, similar with its taxonomical relative G. sylvestre. It is also well-known that most species belonging to the same genus possess similar chemical composition and thus exhibit similar biological activities. Further chemical investigation of this plant led to the isolation of 14 new oleanane triterpenes Gymlatinosides GL1-GL14 and 6 known oleanolic acid analogs. The structures of the new compounds were elucidated using diverse spectroscopic methods. Among them, compounds Gymlatinosides GL2 and GL3 showed significant PTP1b inhibitory effect. The building block strategy was also applied successfully to predict the structures of 54 new compounds which may have similar skeleton and biosynthesis construction with those isolates. Part 3: 12,23-Dione dammarane triterpenes from Gynostemma longipes and their muscle cell proliferation activities via activation of the AMPK pathway. The aging population is growing rapidly around the world. Sarcopenia, characterized by decreased muscle mass, strength, and function, is a common feature of the elderly population. AMP-activated protein kinase (AMPK) is an essential sensor and regulator of glucose, lipid, and energy metabolism throughout the body. Previous studies have shown that AMPK pathway activation by regular exercise and appropriate dietary control have beneficial effects on skeletal muscle. In the process of searching for new AMPK activators from medicinal plants, we isolated and characterized eight new 12,23-dione dammarane triterpenoids (1โ€“3 and 5โ€“9), as well as one known gypentonoside A from Gynostemma longipes. Application of the building blocks and their construction rules also led to the assignment of 26 possible new compounds. All 9 isolated compounds were tested for their AMPK activation activities, seven compounds (1 and 3โ€“8) were significantly activated AMPK phosphorylation in mouse C2C12 skeletal muscle cell lines. Since G. longipes contained a significant amount of active compound Longipenoside A1 (over 2.08% per dried raw plant), it suggested the potential of this plant to be developed as a functional food or botanical drug that enhances muscle proliferation by activating AMPK signaling pathways.1. Introduction 1 Purpose of research 5 2. Materials and methods 7 2.1. Plant materials 7 2.2. Morphology and anatomy analysis 7 2.3. ITS1-5.8S-ITS2 sequence analysis 7 2.3. Establishment of a Virtual Mass Library based on Building Blocks 8 2.4. UPLC-ESI-MSn Experiments 9 2.5. Hydrolysis of Total Extract 10 2.6. Extraction and isolation schemes 11 2.6.1. General experimental procedures 11 2.6.2. Isolation scheme 12 2.6.3. Physical and chemical characteristics of isolated compounds 14 3. Results and discussion 16 3.1. Discrimination of different geographic varieties of G. sylvestre 16 3.1.1. Agronomical characteristics 16 3.1.2. Morphological and anatomical characteristics 16 3.1.3. Internal transcribed spacer ITS1-5.8S-ITS2 sequence analysis 21 3.2. Development of a building block strategy to classification, identification and metabolite profiling of oleanane triterpenoids in the Vietnamese G. sylvestre variety using UHPLC-qTOF/MS 23 3.2.1. Building Blocks and Construction Rules of Triterpenoids isolated from G. Sylvestre. 23 3.2.2. Relative mass filtering 28 3.2.3. Identification of Targeted Metabolites by UPLC-MSn. 29 3.3. Structure elucidation of selective isolation of new compounds predicted by virtual block library 45 3.3.1. Gymnemoside GS1 - Compound 1 50 3.3.1. Gymnemoside GS2 - Compound 2 53 3.3.3. Gymnemoside GS3 - Compound 3 54 3.3.4. Gymnemoside GS4 - Compound 4 56 3.3.5. Gymnemoside GS5 โ€“ Compound 5 57 3.3.6. Gymnemoside GS6 - Compound 6 58 3.4. Metabolite Profiling of Oleanane Triterpenoids 59 4. Conclusions 61 Part 2. Oleanane triterpenoids from Gymnema latifolium and their PTP1B inhibitory activities 62 1. Introduction 62 Purpose of research 64 2. Materials and methods 65 2.1. Plant materials 65 2.2. Extraction and isolation schemes 65 2.2.1. General experimental procedures 65 2.2.2. Isolation scheme 66 2.2.3. Physical and chemical characteristics of isolated compounds 70 2.3. Acid Hydrolysis 72 2.4. PTP1B Assay 73 3. Results and discussion 75 3.1. Authentication of Gymnema latifolium Wall ex. Wight 75 3.2. Oleanane triterpenoids isolated from G. latifolium 78 3.2.1. Gymlatinoside GL1 (1) 82 3.2.2. Gymlatinoside GL2 (2) 86 3.2.3. Gymlatinoside GL3 (3) 87 3.2.4. Gymlatinoside GL4 (4) 88 3.2.5. Gymlatinoside GL5 (5) 89 3.2.6. Gymlatinoside GL6 (6) 90 3.2.7. Gymlatinoside GL7 (7) 91 3.2.8. Gymlatinoside GL8 (12) 97 3.2.9. Gymlatinoside GL9 (13) 99 3.2.10. Gymlatinoside GL10 (14) 100 3.2.11. Gymlatinoside GL11 (15) 101 3.2.12. Gymlatinoside GL12 (16) 102 3.2.13. Gymlatinoside GL13 (17) 104 3.2.14. Gymlatinoside GL14 (18) 105 3.3. PTP1B inhibitory activities of isolated compounds 106 3.4. Building block assignments for oleanane glycosides in G. latifolium 106 3.4.1. 3-ฮฒ-hydroxy oleanane glycosides 106 3.4.2. 23-hydroxy oleanane glycosides 111 4. Conclusions 113 Part 3: 12, 23-Dione dammarane triterpenoids from Gynostemma longipes and their muscle cell proliferation activities via activation of the AMPK pathway. 114 1. Introduction 114 Purpose of research 116 2. Materials and methods 117 2.1. Plant materials 117 2.2. Isolation and structure elucidation of compounds 119 2.2.1. General experimental procedures 119 2.2.2. Isolation scheme 120 2.2.3. Physical and chemical characteristics of isolated compounds 121 2.2.4. Acid hydrolysis 123 2.2.5. Quantitative analysis of Longipenoside A1 (compound 1) 123 2.3. Muscle regeneration activity of G. longipes extract and isolated compounds 124 2.3.1. Cell proliferation assay 124 2.3.2. Western blot analysis 125 2.3.3. Immunochemical staining with BrdU antibody 126 2.3.4. Flow cytometry analysis for BrdU and PI staining 127 2.3.5. Flow cytometry of cell cycle status 127 2.3.6. Glucose uptake assay 128 2.3.7. Measurement of ATP level 128 2.3.8. Statistical analysis 129 3. Results and discussion 130 3.1. Structural determination of new compounds 130 3.1.1. Longipenoside A1 (1) 134 3.1.2. Longipenoside A2 (2) 137 3.1.3. Longipenoside A3 (3) 138 3.1.4. Longipenoside A4 (5) 139 3.1.5. Longipengenol (6) 140 3.1.6. 3-dehydro longipengenol (7) 141 3.1.7. Longipenoside A5 (8) 142 3.1.7. Longipenoside A6 (9) 143 3.2. Annotations of dammarane triterpenoids in G. latifolium using building block strategy 144 3.3. Dammarane triterpenes enhanced muscle proliferation through activating AMPK 146 3.4. Effects of dammarane triterpenes on DNA synthesis during cell proliferation. 152 3.5. Effects of dammarane triterpenes on glucose uptake and ATP levels 155 3.6. Enhancement of cell proliferation by dammarane triterpenes through cell cycle regulation 156 4. Conclusion 158 References 160Docto

    Buckling and postbuckling of axially-loaded CNT-reinforced composite cylindrical shell surrounded by an elastic medium in thermal environment

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    Buckling and postbuckling behaviors of nanocomposite cylindrical shells reinforced by single walled carbon nanotubes (SWCNTs), surrounded by an elastic medium, exposed to a thermal environment and subjected to uniform axial compression are investigated in this paper. Material properties of carbon nanotubes (CNTs) and isotropic matrix are assumed to be temperature dependent, and effective properties of nanocomposite are estimated by extended rule of mixture. The CNTs are embedded into matrix via uniform distribution (UD) or functionally graded (FG) distribution along the thickness direction. Governing equations are based on Donnellโ€™s classical shell theory taking into account von Karman-Donnell nonlinear terms and interaction between the shell and surrounding elastic medium. Three-term form of deflection and stress function are assumed to satisfy simply supported boundary conditions and Galerkin method is applied to obtain load-deflection relation from which buckling and postbuckling behaviors are analyzed. Numerical examples are carried out to analyze the effects of CNT volume fraction and distribution types, geometrical ratios, environment temperature and surrounding elastic foundation on the buckling loads and postbuckling strength of CNTRC cylindrical shells

    Adaptive Fuzzy Proportional Integral Sliding Mode Control for Two-Tank Interacting System

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    This paper presents an adaptive fuzzy proportional integral sliding mode control (AFPISMC) for two-tank interacting system (TTIS). In order to maintain the desired liquid level of the TTIS and meet the reference values for attenuated chattering problems, this paper proposes a combination of a sliding mode control (SMC) with a proportional integral (PI) sliding surface and a fuzzy inference system. Fuzzy logic and the universal approximation theorem of fuzzy systems are used to approximate the uncertain function in the PISMC. The stability of the control system is proved by the Lyapunov theory. The simulation results of the proposed method in MATLAB/Simulink were compared to a fuzzy control, a sliding mode control with conditional integrals, a fuzzy-PID control, and a conventional PID control. The comparison results showed that the proposed controller was most effective when the rising time reached 0.2375 s, the percent of overshoot was 0%, the steady state error converged to zero, the settling time was 0.4612 s, and chattering was reduced

    Adaptive Sliding Mode Control Based on Fuzzy Logic and Low Pass Filter for Two-Tank Interacting System

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    An adaptive sliding mode control (SMC) based on fuzzy logic and low pass filter is designed in this research. The SMC is one of the most widely accepted robust control techniques. However, the main disadvantage of the SMC is chattering phenomena, which inhibits its usage in many practical applications. Fuzzy logic control has supplanted conventional techniques in many applications. A major feature of fuzzy logic is the ability to express the amount of ambiguity in individual perception and human thinking. In this study, a fuzzy inference system is applied to approximate the function in the SMC law. A low pass filter is used to reduce chattering phenomena around the sliding surface. The stability of the control system is proved by the Lyapunov theory. The proposed controller is tested to position tracking control for two-tank interacting system. This system has been applied in process industries like petroleum refineries, chemical, paper industries, water treatment industries. Simulation results in MATLAB/Simulink show that the proposed algorithm is more effective than the sliding mode control, sliding mode control using conditional integrators and fuzzy control without steady-state error, the overshoot is 0 (%), the rising time achieves 2.187 (s) and the settling time is about 3.9133(s)

    Adaptive Fuzzy Proportional Integral Sliding Mode Control for Two-Tank Interacting System

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    This paper presents an adaptive fuzzy proportional integral sliding mode control (AFPISMC) for two-tank interacting system (TTIS). In order to maintain the desired liquid level of the TTIS and meet the reference values for attenuated chattering problems, this paper proposes a combination of a sliding mode control (SMC) with a proportional integral (PI) sliding surface and a fuzzy inference system. Fuzzy logic and the universal approximation theorem of fuzzy systems are used to approximate the uncertain function in the PISMC. The stability of the control system is proved by the Lyapunov theory. The simulation results of the proposed method in MATLAB/Simulink were compared to a fuzzy control, a sliding mode control with conditional integrals, a fuzzy-PID control, and a conventional PID control. The comparison results showed that the proposed controller was most effective when the rising time reached 0.2375 s, the percent of overshoot was 0%, the steady state error converged to zero, the settling time was 0.4612 s, and chattering was reduced

    SURVEYING THE VIETNAMESE YOUTH ON THE NEGATIVE IMPACT OF SOCIAL MEDIA

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    In the context of globalization and the rapid development of the Internet, social networks have become an indispensable part of the lives of citizens in the 21st century. In addition to helping people communicate and connect, wireless platforms bring benefits to work, study, and entertainment. However, faced with the staggering increase in the use of social networks, many argue that they can have negative impacts on users, particularly those who are studying or working. This study aims to provide readers with an overview of the negative impacts of social networks on Vietnamese youth. The research data was collected by gathering reputable sources and surveying young people born between 1995 and 2010, belonging to Generation Z, who are living, studying, and working in major cities in Vietnam and using social networks. Through statistical analysis and data processing, the results show that the use of communication platforms has a negative impact on the productivity and health of Vietnamese youth. To minimize the negative impacts on daily life, young people should consider the amount of time they spend using social networks and the content they publish. Additionally, protecting personal information and building positive communities is necessary to avoid unnecessary risks

    LAPFormer: A Light and Accurate Polyp Segmentation Transformer

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    Polyp segmentation is still known as a difficult problem due to the large variety of polyp shapes, scanning and labeling modalities. This prevents deep learning model to generalize well on unseen data. However, Transformer-based approach recently has achieved some remarkable results on performance with the ability of extracting global context better than CNN-based architecture and yet lead to better generalization. To leverage this strength of Transformer, we propose a new model with encoder-decoder architecture named LAPFormer, which uses a hierarchical Transformer encoder to better extract global feature and combine with our novel CNN (Convolutional Neural Network) decoder for capturing local appearance of the polyps. Our proposed decoder contains a progressive feature fusion module designed for fusing feature from upper scales and lower scales and enable multi-scale features to be more correlative. Besides, we also use feature refinement module and feature selection module for processing feature. We test our model on five popular benchmark datasets for polyp segmentation, including Kvasir, CVC-Clinic DB, CVC-ColonDB, CVC-T, and ETIS-LaribComment: 7 pages, 7 figures, ACL 2023 underrevie
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