• Title/Summary/Keyword: CS model

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Compound K ameliorates airway inflammation and mucus secretion through the regulation of PKC signaling in vitro and in vivo

  • Lee, Jae-Won;Kim, Mun-Ock;Song, Yu Na;Min, Jae-Hong;Kim, Seong-Man;Kang, Myung-Ji;Oh, Eun Sol;Lee, Ro Woon;Jung, Sunin;Ro, Hyunju;Lee, Jae Kyoung;Ryu, Hyung Won;Lee, Dae Young;Lee, Su Ui
    • Journal of Ginseng Research
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    • v.46 no.3
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    • pp.496-504
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    • 2022
  • Background: Cigarette smoke (CS) is considered a principal cause of chronic obstructive pulmonary disease (COPD) and is associated with mucus hypersecretion and airway inflammation. Ginsenoside compound K (CK), a product of ginsenoside metabolism, has various biological activities. Studies on the effects of CK for the treatment of COPD and mucus hypersecretion, including the underlying signaling mechanism, have not yet been conducted. Methods: To study the protective effects and molecular mechanism of CK, phorbol 12-myristate 13-acetate (PMA)-induced human airway epithelial (NCI-H292) cells were used as a cellular model of airway inflammation. An experimental mouse COPD model was also established via CS inhalation and intranasal administration of lipopolysaccharide. Mucin 5AC (MUC5AC), monocyte chemoattractant protein-1, tumor necrosis factor-α (TNF-α), and interleukin-6 secretion, as well as elastase activity and reactive oxygen species production, were determined through enzyme-linked immunosorbent assay. Inflammatory cell influx and mucus secretion in mouse lung tissues were estimated using hematoxylin and eosin and periodic acid-schiff staining, respectively. PKCδ and its downstream signaling molecules were analyzed via western blotting. Results: CK prevented the secretion of MUC5AC and TNF-α in PMA-stimulated NCI-H292 cells and exhibited a protective effect in COPD mice via the suppression of inflammatory mediators and mucus secretion. These effects were accompanied by an inactivation of PKCδ and related signaling in vitro and in vivo. Conclusion: CK suppressed pulmonary inflammation and mucus secretion in COPD mouse model through PKC regulation, highlighting the compound's potential as a useful adjuvant in the prevention and treatment of COPD.

A Study on the Design and Implementation of an AI Mock Interview System for Computer Science Interview Preparation Using LLM-based ChatGPT (LLM 기반 ChatGPT를 활용한 컴퓨터 분야 면접 준비용 AI 모의 면접 시스템의 설계 및 구현에 대한 연구)

  • Jae-Sung Chun;Hee-Kwon Jang;Ji-Hye Kim;Chang-Min Bae;Dong-Gyu Lee;Il-Young Moon
    • Journal of Practical Engineering Education
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    • v.16 no.5_spc
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    • pp.643-651
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    • 2024
  • This study aims to design and implement an AI mock interview system for Computer Science (CS) interview preparation using LLM (Large Language Model) based ChatGPT. The system utilizes AI's natural language processing and speech recognition capabilities to analyze and provide real-time feedback on interview responses, helping users improve their weaknesses during the preparation process. According to a survey, 90% of users reported that the real-time feedback function provided substantial assistance in their interview preparation. Key features include GPT prompt generation and Speech-to-Text functionality, which converts voice data into text. The system received positive evaluations for its response time and feedback accuracy. Future research will explore expanding the range of question types and applying the system to various industries.

Improvement of PM10 Forecasting Performance using DNN and Secondary Data (DNN과 2차 데이터를 이용한 PM10 예보 성능 개선)

  • Yu, SukHyun;Jeon, YoungTae
    • Journal of Korea Multimedia Society
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    • v.22 no.10
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    • pp.1187-1198
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    • 2019
  • In this study, we propose a new $PM_{10}$ forecasting model for Seoul region using DNN(Deep Neural Network) and secondary data. The previous numerical and Julian forecast model have been developed using primary data such as weather and air quality measurements. These models give excellent results for accuracy and false alarms, but POD is not good for the daily life usage. To solve this problem, we develop four secondary factors composed with primary data, which reflect the correlations between primary factors and high $PM_{10}$ concentrations. The proposed 4 models are A(Anomaly), BT(Back trajectory), CB(Contribution), CS(Cosine similarity), and ALL(model using all 4 secondary data). Among them, model ALL shows the best performance in all indicators, especially the PODs are improved.

Development of a Volatile organic Compounds(VoCs) Liquefier on Integrated Management System based on ICT (ICT 기반의 휘발성 유기 화합물(VoC) 액화기 통합관리시스템 개발)

  • Kim, Gwan-Hyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.6
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    • pp.1301-1306
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    • 2015
  • This paper is to automate the intelligent and equipment to recycle the volatile organic compounds in various a gas stations and a laundry, in real life. In addition, based the ZigBee module and TCP/IP communications on ICT technologies, it's propose an integrated management system to monitor and manage an liquid at a remote location.Furthermore, it's propose a service model that can be freely managed from a remote location based on the app on android. In this paper, we present a communication protocol of the bridge modules and a liquefier of intelligent control system based ZigBee and MCU(Micro Controller Unit). Through the development of smart app based android mobile services in an integrated management system, it's represent for liquefier to a DB server for remote management(MS SQL 2012) and a web server (OS: Windows 2008).

Development of Calibration Model and Analysis of Soil Water Content using Time-Domain Refelctometry Probe in LTPP Sections (LTPP 구간에서 TDR 방식 함수량계를 이용한 현장함수비 보정모델 개발과 함수비 분석 연구)

  • Kim, Boo-Il;Jeon, Sung-Il
    • International Journal of Highway Engineering
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    • v.7 no.4 s.26
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    • pp.103-112
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    • 2005
  • Water content of sub-layer in pavement systems has a large effect on pavement performance. Many researchers lately make use of time-domain reflectometry(TDR) probes to measure the soil water content of sub-layer from field monitoring. The laboratory calibration test of TDR probe should be performed with soil field, because TDR probe can cause an error by type, gradation, density, and temperature of soil. This study performed the laboratory calibration test of TDR probe(CS616) with subgrade and subbase material in long term pavement performance(LTPP) sections. And the calibration equations of TDR probe(CS616) were then proposed. It was confirmed from the study that the data of TDR probe monitored in field could be used to estimate the freezing, unfrozen water content, and matric suction of soil.

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Policy Decision Making Through Wildlife Habitat Potential With Space Value Categorization (야생동물 서식지 잠재력과 공간가치분류를 통한 정책방향 설정)

  • Jang, Raeik;Lee, Myungwoo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.18 no.1
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    • pp.1-12
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    • 2015
  • Beginning of the human ecology in 1920s, the efforts for applying the environmental values to a policy have been embodied by the enactments of international agreement and relevant laws. The government has been struggling to adopt the environmental values for the policy by enacting the relevant laws and establishing the environmental value evaluation information (environmental conservation value assessment map, eco-natural map, biotope map). In spite of the efforts to apply the environmental value assessment information for the habitat potential of wildlife, the application is being challenged by the discrepancy in methods and criteria. Thus this study intends to measure the potential of wildlife habitat and apply it to the spatial value classification for the application plan of wildlife habitat potential in policy. Maxent was used for the habitat potential and the land types were classified depending on the surface and land use pattern of cadastral map. As a result, the policy matrix including conservation strategy(CS), restoration strategy(RS), practical use strategy(PS) and development strategy(DS) has been deduced as CS $13.05km^2$(2.38%), RS $1.64km^2$(0.30%), PS $162.42km^2$(29.57%) and DS $8.56km^2$(1.56%). CS was emerged mostly on forest valleys and farmlands, and RS was appeared in the road area near the conservation strategy areas. Boryung downtown and Daecheon Beach were the center of DS, while the forest and farmlands were presented as PS. It is significant that this study suggest the new approaching method by comparing the wildlife habitat potential with the land type. Since this study evaluated the environmental value by one species of leopard cat (Prionailurusbengalensis) with Maxent model, it is necessary to apply the habitat potential measuring method for various target species as further research.

Estimation of sewer deterioration by Weibull distribution function (와이블 분포함수를 이용한 하수관로 노후도 추정)

  • Kang, Byongjun;Yoo, Soonyu;Park, Kyoohong
    • Journal of Korean Society of Water and Wastewater
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    • v.34 no.4
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    • pp.251-258
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    • 2020
  • Sewer deterioration models are needed to forecast the remaining life expectancy of sewer networks by assessing their conditions. In this study, the serious defect (or condition state 3) occurrence probability, at which sewer rehabilitation program should be implemented, was evaluated using four probability distribution functions such as normal, lognormal, exponential, and Weibull distribution. A sample of 252 km of CCTV-inspected sewer pipe data in city Z was collected in the first place. Then the effective data (284 sewer sections of 8.15 km) with reliable information were extracted and classified into 3 groups considering the sub-catchment area, sewer material, and sewer pipe size. Anderson-Darling test was conducted to select the most fitted probability distribution of sewer defect occurrence as Weibull distribution. The shape parameters (β) and scale parameters (η) of Weibull distribution were estimated from the data set of 3 classified groups, including standard errors, 95% confidence intervals, and log-likelihood values. The plot of probability density function and cumulative distribution function were obtained using the estimated parameter values, which could be used to indicate the quantitative level of risk on occurrence of CS3. It was estimated that sewer data group 1, group 2, and group 3 has CS3 occurrence probability exceeding 50% at 13th-year, 11th-year, and 16th-year after the installation, respectively. For every data groups, the time exceeding the CS3 occurrence probability of 90% was also predicted to be 27th- to 30th-year after the installation.

Cholangiocarcinogenesis Following Oval Cell Induction and Clonorchis sinensis Infestation in Hamster (햄스터 oval cell의 간흡충감염 후 담관암으로의 분화에 관한 세포병리학적 연구)

  • Yoon, Byung-Il;Kim, Bang-Hyun;Kim, Dae-Yong
    • Korean Journal of Veterinary Pathology
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    • v.6 no.1
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    • pp.41-48
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    • 2002
  • Oval cell is considered as facultative precursor cells for both hepatocytes and biliary cells, as well as origin of hepatocellar and cholangiocellular carcinoma (CCC) during carcinogenesis or toxic liver injury. To clarify the cellular origin or differentiation of cholagiocarcinogensis, the fate of carcinogen-induced oval cells was pathologically and phenotypically chased in Syrian golden hamster liver after Clonorchis sinensis (CS) infection which would give rise to a promoting effect. Two week treatment of hamsters with 0.005% diethylnitrosamine (DEN) followed by 2 week treatment of 1% 2-acetylaminofluorene (AAF) under choline deficient diet resulted in massive proliferation of BrdU labeleed and PCNA positive oval cells showing various distinct morphology, histochemical and immunohistochemical phenotypes for GGT, cytokeratin 19 and OV-6. Oval cells also frequently form ductular-like structures or phenotypically show hepatocyte-like characteristics. After CS infection, the oval cells showed sequential morphological changes to atypicl proliferating bile ductules and all hamsters thereafter developed well differentiated and anaplastic CCC at 16 week after CS infection. In electron microscopy, some bile ductules were constructed by intermediate oval cells and bile ductular cells surrounded by basement membrane. The results of this study strongly suggest that CCC developed in the present study were originated from hepatic stem-like oval cells, supporting the theory of stem cell origin of cancers. In addition, this hamster model would be valuable for the molecular mechanistic study during chemical-triggered cholangiocarcinogenesis.

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A novel analytical evaluation of the laboratory-measured mechanical properties of lightweight concrete

  • S. Sivakumar;R. Prakash;S. Srividhya;A.S. Vijay Vikram
    • Structural Engineering and Mechanics
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    • v.87 no.3
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    • pp.221-229
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    • 2023
  • Urbanization and industrialization have significantly increased the amount of solid waste produced in recent decades, posing considerable disposal problems and environmental burdens. The practice of waste utilization in concrete has gained popularity among construction practitioners and researchers for the efficient use of resources and the transition to the circular economy in construction. This study employed Lytag aggregate, an environmentally friendly pulverized fuel ash-based lightweight aggregate, as a substitute for natural coarse aggregate. At the same time, fly ash, an industrial by-product, was used as a partial substitute for cement. Concrete mix M20 was experimented with using fly ash and Lytag lightweight aggregate. The percentages of fly ash that make up the replacements were 5%, 10%, 15%, 20%, and 25%. The Compressive Strength (CS), Split Tensile Strength (STS), and deflection were discovered at these percentages after 56 days of testing. The concrete cube, cylinder, and beam specimens were examined in the explorations, as mentioned earlier. The results indicate that a 10% substitution of cement with fly ash and a replacement of coarse aggregate with Lytag lightweight aggregate produced concrete that performed well in terms of mechanical properties and deflection. The cementitious composites have varying characteristics as the environment changes. Therefore, understanding their mechanical properties are crucial for safety reasons. CS, STS, and deflection are the essential property of concrete. Machine learning (ML) approaches have been necessary to predict the CS of concrete. The Artificial Fish Swarm Optimization (AFSO), Particle Swarm Optimization (PSO), and Harmony Search (HS) algorithms were investigated for the prediction of outcomes. This work deftly explains the tremendous AFSO technique, which achieves the precise ideal values of the weights in the model to crown the mathematical modeling technique. This has been proved by the minimum, maximum, and sample median, and the first and third quartiles were used as the basis for a boxplot through the standardized method of showing the dataset. It graphically displays the quantitative value distribution of a field. The correlation matrix and confidence interval were represented graphically using the corrupt method.

The Intelligent Farmer Model for the Design of Distributed Agent of IMT-2000 (IMT-2000 분산 에이전트 설계를 위한 Intelligent Farmer 모델)

  • 박수현;민성기;김태석
    • Proceedings of the Korea Multimedia Society Conference
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    • 2000.11a
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    • pp.303-306
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    • 2000
  • AIN CS-3를 기반으로 하는 IMT-2000 망은 지능망의 구성요소들과 통합 및 연동을 통하여 기존에 개발되었거나 앞으로 개발될 유선 지능망의 서비스들을 쉽게 수용할 수 있게 된다. 본 논문에서는 IMT-2000 및 IMT-2000과 연동되는 타 네트워크의 상이한 플랫폼 환경의 개발환경 및 향후 유지보수과정에서 발생할 것으로 예측되는 TMN 시스템 내 에이전트의 Q3 인터페이스 구현상의 표준을 이를 수 없다는 층의 문제점을 해결하기 위하여 I-Farmer 모델을 제안하였다.

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