• Title/Summary/Keyword: 성장 예측

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Fake News Detection on YouTube Using Related Video Information (관련 동영상 정보를 활용한 YouTube 가짜뉴스 탐지 기법)

  • Junho Kim;Yongjun Shin;Hyunchul Ahn
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.19-36
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    • 2023
  • As advances in information and communication technology have made it easier for anyone to produce and disseminate information, a new problem has emerged: fake news, which is false information intentionally shared to mislead people. Initially spread mainly through text, fake news has gradually evolved and is now distributed in multimedia formats. Since its founding in 2005, YouTube has become the world's leading video platform and is used by most people worldwide. However, it has also become a primary source of fake news, causing social problems. Various researchers have been working on detecting fake news on YouTube. There are content-based and background information-based approaches to fake news detection. Still, content-based approaches are dominant when looking at conventional fake news research and YouTube fake news detection research. This study proposes a fake news detection method based on background information rather than content-based fake news detection. In detail, we suggest detecting fake news by utilizing related video information from YouTube. Specifically, the method detects fake news through CNN, a deep learning network, from the vectorized information obtained from related videos and the original video using Doc2vec, an embedding technique. The empirical analysis shows that the proposed method has better prediction performance than the existing content-based approach to detecting fake news on YouTube. The proposed method in this study contributes to making our society safer and more reliable by preventing the spread of fake news on YouTube, which is highly contagious.

Correlation between Serum IGF-1, IGFBP-3 Levels, and Hand-Wrist Radiographs in Determining Skeletal Maturity (골 성숙도 결정 시 혈청 IGF-1, IGFBP-3 농도와 수완부 방사선 사진의 상관관계)

  • Misun Kwak;Yon-joo Mah
    • Journal of the korean academy of Pediatric Dentistry
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    • v.50 no.3
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    • pp.334-346
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    • 2023
  • The aim of this study was to assess the correlation between serum levels of insulin-like growth factor-1 (IGF-1), insulin-like growth factor binding protein-3 (IGFBP-3), and hand-wrist radiographs using a skeletal maturity indicator (SMI) and the middle phalanx of the third finger (MP3). Hand-wrist radiographs and blood samples from 205 patients aged 7 - 17 years were retrospectively analyzed by two dentists using the SMI stages, MP3 stages, and serum IGF-1 and IGFBP-3 levels. Serum IGF-1 levels were highest at the SMI 6 - 8 and MP3 - G stage and lowest at the SMI 1 - 3 and MP3 - F stage (p < 0.0001). Serum IGFBP-3 levels were highest at the SMI 9 - 10 and MP3 - I stage and lowest at the SMI 1 - 3 and MP3 - FG stage (p = 0.010, 0.030). As a result of Pearson correlation analysis, a relatively high correlation was found between skeletal maturity using the SMI and MP3 stages and serum IGF-1 levels (r = 0.698, 0.622, p < 0.0001). According to the results of this study, serum IGF-1 levels can be used as an auxiliary measure to evaluate the skeletal maturity of children and adolescents in dentistry. The range from the mean serum IGF-1 level of 472 ㎍/L in SMI 6 stage to the mean IGF-1 level of 510.63 ㎍/L in MP3 G stage could be considered as the peak height velocity in clinical practice.

Tunnel Design/Construction Risk Assessment base on GIS-ANN (GIS-ANN 기반의 도심지 터널 설계/시공 위험도 평가)

  • Yoo, Chung Sik;Kim, Joo Mi;Kim, Sun Bin;Jung, Hye Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.1C
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    • pp.63-72
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    • 2006
  • Due to rapid development of many cities in Korea, many public facilities are required to be built as well as complementary civil structures. Consequently, a number of tunnel constructions are currently carried out throughout the country, and many more tunnels are planned to be constructed in the near future. Tunnel excavation in a city often causes serious damage to above-ground structures and sewer system because of unexpected settlement. In order to prevent the destruction, the tunnel, which bypasses the center of a city, must be specially evaluated for its influence to other structure. In addition, since a slight disturbance of above-ground structure causes numerous public complaints and civil appeals, it must be approached with different method than the mountain tunnels. In this paper, the evaluation method using the Artificial Neural Network (ANN) has been studied. The method begins with an analysis of the minimal sectional area. If its result can be used to approximate the general influence of the whole section, the actual evaluation using ANN will take off. In addition, it also studies the construction management method which reflects the real time soil behavior and environment influence during construction using Geographic Information System (GIS).

Validation of the Korean Version of the Continuing Bonds Scale (한국판 지속 유대 척도의 타당화)

  • Kyeyang Kim ;Jongwon Park ;Wan-Suk Gim
    • Korean Journal of Culture and Social Issue
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    • v.22 no.2
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    • pp.263-283
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    • 2016
  • The present study aimed at examining the factor structure, reliability and validity of the Korean version of the Continuing Bonds Scale (K-CBS). In study 1, exploratory factor analysis was administered to 293 bereaved adults who had experienced the death of a loved one, and it revealed a single factor structure with 10 items that explained 52.59% of the total variance. The K-CBS showed good internal consistency with Cronbach's alpha of .92. In study 2, confirmatory factor analysis in a different sample of 200 bereaved adults indicated satisfactory standardized regression weights of all items. However, one item had a squared multiple correlation less than .40, hence, this item was discarded, and 9 items remained for the final scale. The single factor model with 9 items displayed a good fit. The K-CBS had strong positive correlation with grief symptoms, and weak positive correlation with depression. After controlling for grief, however, the K-CBS was predictive of a decrease in depression. The K-CBS was positively associated with posttraumatic growth. In addition, significant differences in scores of the K-CBS were shown among groups based on the deceased's relation to the bereaved and expectedness of loss. These results suggest that the K-CBS is a reliable and valid instrument to measure continuing bonds. Finally, implications, limitations, and directions for future research were discussed.

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Thermogravimetric Analysis of Black Mass Components from Li-ion Battery (폐이차전지 블랙 매스(Black Mass) 구성 성분의 열중량 특성 분석)

  • Kwanho Kim;Kwangsuk You;Minkyu Kim;Hoon Lee
    • Resources Recycling
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    • v.32 no.6
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    • pp.25-33
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    • 2023
  • With the growth of the battery industry, a rapid increase in the production and usage of lithium-ion batteries is expected, and in line with this, much interest and effort is being paid to recycle waste batteries, including production scrap. Although much effort has been made to recycle cathode material, much attention has begun to recycle anode material to secure the supply chain of critical minerals and improve recycling rates. The proximate analysis that measures the content of coal can be used to analyze graphite in anode material, but it cannot accurately analyze due to the interaction between the components of the black mass. Therefore, in this study, thermogravimetric analysis of each component of black mass was measured as the temperature increased up to 950℃ in an oxygen atmosphere. As a result, in the case of cathode material, no change in mass was measured other than a mass reduction of about 5% due to oxidation of the binder and conductive material. In the case of anode material, except for a mass reduction of about 2% due to the binder, all mass reduction were due to the graphite(fixed carbon). In addition, metal conductors (Al, Cu) were oxidized and their mass increased as the temperature increased. Thermal analysis results of mixed samples of cathode/anode show similar results to the predictive values that can be calculated through each cathode and anode analysis results.

The Effect of Person-Job Fit on Job Performance : Mediating Effect of Work Engagement and Moderating Effect of Work Meaning (개인-직무 적합성과 직무성과의 관계에 대한 직무열의의 매개효과와 일의 의미의 조절된 매개효과 연구)

  • Shin, In-kyu;Jung, Sung-cheol
    • Journal of Venture Innovation
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    • v.3 no.2
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    • pp.77-93
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    • 2020
  • The purpose of this study is to investigate the effect of person-job fit on job performance. In the process, the moderating effect of the meaning of work and the mediating effect of work engagement was investigated. For this purpose, survey data were collected from 304 employees working at the company organization and analyzed using correlation and regression analysis. The summary of the study is as follows. First, there is a significant correlation between realistic person-job fit and perceived person-job fit. Second, perceived person-job fit is a significant predictor of job performance. Third, there is a mediating effect of work engagement in the relationship between person-job fit and job performance. Fourth, there is a moderating effect of the meaning of work in the relationship between person-job fit and work engagement. This study demonstrates the correlation of realistic and perceived person-job fit, which has not been studied in Korea before. It was found that person-job fit influences job performance through mediating emotional variables such as work engagement. From the point of view of organization managers, there is a need to provide a work environment that is appropriate for the characteristics of the employees and to manage how employees perceive person-job fit. In particular, it is necessary to support employees to recognize that their work promotes their growth and contributes to the public good. Finally, the limitations of the study and future research tasks were proposed.

Associations between Insertion/deletion Polymorphisms in Galactose Mutarotaseand Carcass Traits in the Hanwoo Population of Jeju Island (제주도 한우 집단에서 Galactose mutarotase (GALM) 유전자의 삽입/결실 다형성과 도체형질의 연관성 분석)

  • Yoo-Kyung Kim;Jongan Lee;Sang-Min Shin;Yeoung-Gyu Ko;Ji-Hyun Yoo;Miyoung Won
    • Journal of Life Science
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    • v.33 no.12
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    • pp.987-994
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    • 2023
  • This study examined the associations between the genotypes of the galactose mutarotase (GALM) gene and carcass traits in the Hanwoo population of Jeju Island, South Korea. The GALM genotypes were determined by the 14-bp (5'-GGTCTAATGACCAG-3') insertion/deletion (InDel) polymorphisms of the 3'-untranslated region (UTR). All three genotypes (LL, LS, and SS) were found in the Hanwoo steer population. The association analysis showed significant associations between genotypes and several carcass traits, including traits related to intramuscular fat content, such as meat quality, marbling score, and backfat thickness (p<0.05). Animals harboring the SS genotype showed not only higher levels of intramuscular fat content but also lower levels of backfat thickness than animals harboring the LL and LS genotypes. On the other hand, no significant associations were found between the GALM genotypes and carcass weight, eye muscle area, meat color, or fat color (p>0.05). Deleting the 14-bp segment in the 3'-UTR resulted in the modification of the secondary structure of RNA and appeared to affect gene expression by interfering with the binding ability of GALM mRNA with RNA-binding proteins and microRNAs. These results suggest that the 14-bp InDel polymorphism in the 3'-UTR region of the GALM gene affects cattle growth traits and carcass quality through galactose metabolism-mediated fat accumulation in muscle and backfat tissues.

Nursing Sudents' Experiences of Online Psychiatric Nursing Practice in COVID-19 : A Parse Research Method Study (COVID-19 상황에서 간호대학생의 정신건강간호학 온라인 실습 경험: Parse 연구방법 적용)

  • Gyun-Young Kang;Jinju Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1127-1134
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    • 2023
  • This study is a qualitative study to uncover the meaning and structure of nursing students' online psychiatric nursing practice experience by applying Parse's research method. The subjects of the study were 9 fourth-year nursing students at K University who took psychiatric nursing practice online in the COVID-19 situation. Data collection was conducted from March 7, 2022 to May 27, 2022. As a result of the study, the core concepts of nursing students' online practice experience in psychiatric nursing in the COVID-19 situation were: 'Recognizing the importance of understanding oneself and others', 'Preparing for communication to build therapeutic relationships', and 'A perspective on the future through exploration of the meaning of nursing'. Structural transposition was presented as 'Empathy for self and others', 'Mindset for interpersonal human relationship', 'Exploring the essence of nursing and self-realization'. Conceptual integration appeared as 'Valuing', 'Revealing-Concealing', 'Revealing-Concealing'. In conclusion, nursing students' online practice experience in mental health nursing in the COVID-19 situation was an experience of growing and transcending as future nurses by recognizing the importance of human understanding and communication for the therapeutic relationship that is the purpose of mental nursing. This study will serve as basic data for efficient clinical practice operations in various unpredictable situations, such as future pandemics.

Developing a deep learning-based recommendation model using online reviews for predicting consumer preferences: Evidence from the restaurant industry (딥러닝 기반 온라인 리뷰를 활용한 추천 모델 개발: 레스토랑 산업을 중심으로)

  • Dongeon Kim;Dongsoo Jang;Jinzhe Yan;Jiaen Li
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.31-49
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    • 2023
  • With the growth of the food-catering industry, consumer preferences and the number of dine-in restaurants are gradually increasing. Thus, personalized recommendation services are required to select a restaurant suitable for consumer preferences. Previous studies have used questionnaires and star-rating approaches, which do not effectively depict consumer preferences. Online reviews are the most essential sources of information in this regard. However, previous studies have aggregated online reviews into long documents, and traditional machine-learning methods have been applied to these to extract semantic representations; however, such approaches fail to consider the surrounding word or context. Therefore, this study proposes a novel review textual-based restaurant recommendation model (RT-RRM) that uses deep learning to effectively extract consumer preferences from online reviews. The proposed model concatenates consumer-restaurant interactions with the extracted high-level semantic representations and predicts consumer preferences accurately and effectively. Experiments on real-world datasets show that the proposed model exhibits excellent recommendation performance compared with several baseline models.

Valproic Acid-induced PPAR-alpha and FGF21 Expression Involves Survival Response in Hepatocytes (Valproic acid에 의해 증가하는 PPAR-alpha 및 FGF21의 발현이 간세포 생존에 미치는 영향)

  • Bakhovuddin Azamov;Yeowon Kang;Chanhee Lee;Wan-Seog Shim;Kwang Min Lee;Parkyong Song
    • Journal of Life Science
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    • v.34 no.4
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    • pp.227-235
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    • 2024
  • Hepatocyte damage caused by medications or herbal products is one of the important problem when these compounds are chronically administrated. Thus, improving hepatocyte survival during treatment offers a wide range of opportunities. Valproic acid (VPA), a branched short-chain fatty acid derived from naturally occurring valeric acid, is commonly used to treat epilepsy and seizures. Although VPA exerts numerous effects in cancer, HIV therapy, and neurodegenerative disease, its effects on the liver and its mechanism of action have not been fully elucidated. Here, we demonstrated that VPA caused moderate liver cell toxicity and apoptosis. Interestingly, VPA treatment increased transcription levels of PPAR alpha (PPAR-α) and fibroblast growth factor 21 (FGF21) in murine (Hepa1c1c7) hepatoma cells in a time and concentration dependent manner. VPA-induced FGF21 expression was significantly weaker under PPAR-α silencing condition than in cells transfected with non-targeting control siRNA. Subsequent experiments showed that cell viability was significantly lowered when the FGF21 signaling pathway was blocked by FGF receptor antagonist. Finally, we further determined that AMPK phosphorylation was not responsible for VPA-induced FGF21 expression and PPAR-a increments. These results indicate that increases of FGF21 expression alleviate VPA-induced hepatic toxicity, thereby making FGF21 a potential biomarker for predicting liver damage during VPA treatments.