• Title/Summary/Keyword: co occurrence

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Examining Suicide Tendency Social Media Texts by Deep Learning and Topic Modeling Techniques (딥러닝 및 토픽모델링 기법을 활용한 소셜 미디어의 자살 경향 문헌 판별 및 분석)

  • Ko, Young Soo;Lee, Ju Hee;Song, Min
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.32 no.3
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    • pp.247-264
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    • 2021
  • This study aims to create a deep learning-based classification model to classify suicide tendency by suicide corpus constructed for the present study. Also, to analyze suicide factors, the study classified suicide tendency corpus into detailed topics by using topic modeling, an analysis technique that automatically extracts topics. For this purpose, 2,011 documents of the suicide-related corpus collected from social media naver knowledge iN were directly annotated into suicide-tendency documents or non-suicide-tendency documents based on suicide prevention education manual issued by the Central Suicide Prevention Center, and we also conducted the deep learning model(LSTM, BERT, ELECTRA) performance evaluation based on the classification model, using annotated corpus data. In addition, one of the topic modeling techniques, LDA identified suicide factors by classifying thematic literature, and co-word analysis and visualization were conducted to analyze the factors in-depth.

Co-occurrence of Guillain-Barré Syndrome and Acute Disseminated Encephalomyelitis with Dual Positive of Anti-GT1a and Anti-GM1 Antibodies (항GT1a 및 항GM1강글리오시드항체 동시 양성을 보인 길랭-바레증후군과 급성파종뇌척수염의 병발)

  • Lee, Juyoung;Yoo, Jinhyuk;Kang, Dong-gook;Kim, Yerim;Yoon, Byeol A;Kim, Jong Kuk;Bae, Jong Seok
    • Journal of the Korean neurological association
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    • v.35 no.4
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    • pp.211-214
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    • 2017
  • Acute disseminated encephalomyelitis (ADEM) and Guillain-$Barr{\acute{e}}$ syndrome (GBS) are both rare post-infectious neurological disorders. The co-existence of these conditions has often been reported despite of low incidence. We describe a 20-year-old male, who presented with acute flaccid paralysis and encephalopathy. The patient showed reversible MRI lesions suggesting ADEM. This case showed anti-GT1a IgG and anti-GM1 IgM antibodies positivity. We suggest that certain immunogenicity within central and peripheral nervous system may share a common autoimmune process during the disease course.

Sentiment Analysis on 'Non-maritalism Childbirth' Using Naver News Comments (네이버 뉴스 댓글을 활용한 '비혼출산'에 대한 감성분석)

  • Huh, Seyoung;Kim, Cho-Won;Cheong, Anyong;Lee, Sae Bom
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.74-85
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    • 2022
  • Along with the change in the values of marriage and the prevalence of non-marriage in Korean society, a new form of family composition called unmarried birth or non-maritalism childbirth has appeared, and social discussion in taking place in connection with the problem of a decrease in the birthrate. Using sentiment analysis and social network analysis, this research explored how the people's sentiment and perception has changed toward 'nonmarital birth.' The data used is comments on news articles from the period of November 2020 to August 2021. As a result of the study, there were a lot of positive comments during the social issue period by marriage, whereas there were many negative comments from the policy agenda to the policy making period. As a result of co-occurrence network analysis, the topic of family norm, policy, and personal aspect appeared. This study is significant in that it revealed that negative perceptions prevailed during the policy-making process after the issue of unmarried births after the issue of unmarried births, and it became a cornerstone of social discussion on unmarried births

Effects of Nutrient Solution Application Methods and Rhizospheric Ventilation on Vegetative Growth of Young Moth Orchids without a Potting Medium in a Closed-Type Plant Factory

  • Min, Sang Yoon;Oh, Wook
    • Journal of People, Plants, and Environment
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    • v.23 no.5
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    • pp.545-554
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    • 2020
  • Background and objective: Moth orchids in the vegetative stage are suitable for a multi-layer growing environment in a closed-type plant factory which can be a good alternative that can reduce production costs by reducing cultivation time and energy cost per plant. This study was conducted to find out the optimal rhizospheric environment for different irrigation methods without a potting medium and rhizospheric ventilation for the vegetative growth of young Phalaenopsis hybrid 'Blanc Rouge' (P. KV600 × P. Kang 1) and Phalaenopsis Queen Beer 'Mantefon' in a closed-type plant factory system. Methods: The one-month-old clonal micropropagules with bare roots rapped with a sponges were fixed on the holes of styrofoam plates above growth beds, and were watered using the ebb-and-flow (EBB) and aeroponic (AER) methods with Ichihashi solution (0.5 strength) once a day at 06:00 (P) or 18:00 (S), and both (PS). Rhizospheric ventilation (V) was also applied to change the temperature, relative humidity, and CO2 concentration of the beds. Plants potted into sphagnum moss and watered once a week were used as the control group. Results: After 12 months of treatment, the growth characteristics of the EBB groups were the best among the treatment groups without a medium, but no effect of irrigation timing was observed. V reduced the temperature, relative humidity and CO2 concentration of the beds. Whereas, EBB+V (ebb-and-flow with ventilation) improved plant growth and reduced the occurrence of disorders and withering. Especially, EBB+V showed a similar performance to the control group. Conclusion: The results indicated that the optimal irrigation method without a potting medium for producing middle-aged potted moth orchids was the EBB system with forced rhizospheric ventilation. Therefore, further studies on the optimal ventilation method and moisture control of the crown need to be carried out to develop the irrigation system without a potting medium for vertical farming in closed-type plant factories.

Identifying long non-coding RNAs and characterizing their functional roles in swine mammary gland from colostrogenesis to lactogenesis

  • Shi, Lijun;Zhang, Longchao;Wang, Ligang;Liu, Xin;Gao, Hongmei;Hou, Xinhua;Zhao, Fuping;Yan, Hua;Cai, Wentao;Wang, Lixian
    • Animal Bioscience
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    • v.35 no.6
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    • pp.814-825
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    • 2022
  • Objective: This study was conducted to identify the functional long non-coding RNAs (lncRNAs) for swine lactation by RNA-seq data of mammary gland. Methods: According to the RNA-seq data of swine mammary gland, we screened lncRNAs, performed differential expression analysis, and confirmed the functional lncRNAs for swine lactation by validation of genome wide association study (GWAS) signals, functional annotation and weighted gene co-expression network analysis (WGCNA). Results: We totally identified 286 differentially expressed (DE) lncRNAs in mammary gland at different stages from 14 days prior to (-) parturition to day 1 after (+) parturition, and the expressions of most of lncRNAs were strongly changed from day -2 to day +1. Further, the GWAS signals of sow milk ability trait were significantly enriched in DE lncRNAs. Functional annotation revealed that these DE lncRNAs were mainly involved in mammary gland and lactation developing, milk composition metabolism and colostrum function. By performing weighted WGCNA, we identified 7 out of 12 lncRNA-mRNA modules that were highly associated with the mammary gland at day -14, day -2, and day +1, in which, 35 lncRNAs and 319 mRNAs were involved. Conclusion: This study suggested that 18 lncRNAs and their 20 target genes were promising candidates for swine parturition and colostrum occurrence processes. Our research provided new insights into lncRNA profiles and their regulating mechanisms from colostrogenesis to lactogenesis in swine.

Investigation of AI-based dual-model strategy for monitoring cyanobacterial blooms from Sentinel-3 in Korean inland waters

  • Hoang Hai Nguyen;Dalgeun Lee;Sunghwa Choi;Daeyun Shin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.168-168
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    • 2023
  • The frequent occurrence of cyanobacterial harmful algal blooms (CHABs) in inland waters under climate change seriously damages the ecosystem and human health and is becoming a big problem in South Korea. Satellite remote sensing is suggested for effective monitoring CHABs at a larger scale of water bodies since the traditional method based on sparse in-situ networks is limited in space. However, utilizing a standalone variable of satellite reflectances in common CHABs dual-models, which relies on both chlorophyll-a (Chl-a) and phycocyanin or cyanobacteria cells (Cyano-cell), is not fully beneficial because their seasonal variation is highly impacted by surrounding meteorological and bio-environmental factors. Along with the development of Artificial Intelligence (AI), monitoring CHABs from space with analyzing the effects of environmental factors is accessible. This study aimed to investigate the potential application of AI in the dual-model strategy (Chl-a and Cyano-cell are output parameters) for monitoring seasonal dynamics of CHABs from satellites over Korean inland waters. The Sentinel-3 satellite was selected in this study due to the variety of spectral bands and its unique band (620 nm), which is sensitive to cyanobacteria. Via the AI-based feature selection, we analyzed the relationships between two output parameters and major parameters (satellite water-leaving reflectances at different spectral bands), together with auxiliary (meteorological and bio-environmental) parameters, to select the most important ones. Several AI models were then employed for modelling Chl-a and Cyano-cell concentration from those selected important parameters. Performance evaluation of the AI models and their comparison to traditional semi-analytical models were conducted to demonstrate whether AI models (using water-leaving reflectances and environmental variables) outperform traditional models (using water-leaving reflectances only) and which AI models are superior for monitoring CHABs from Sentinel-3 satellite over a Korean inland water body.

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"Say Hello to Vietnam!": A Multimodal Analysis of British Travel Blogs

  • Thuy T.H. Tran
    • SUVANNABHUMI
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    • v.15 no.2
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    • pp.91-129
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    • 2023
  • This paper reports the findings of a multimodal study conducted on 10 travel blog posts about Vietnam by seven British professional travel bloggers. The study takes a sociolinguistic view to tourism by seeing travel blogs as a source for linguistic and other semiotic materials while considering language as situated practice for the social construction of fundamental categories such as "human," "society," and "nation." It borrows concepts from Halliday's Systemic Functional Linguistics for interpersonal metafunction to develop an analytical framework to study how the co-occurrence of text and still images in these travel blog posts formulated the portrayal of Vietnam as a tourism destination and indicated the main sociolinguistic features of the blogs. The analysis of appreciation values and interactive qualities encoded in evaluative adjectives and still images show that Vietnam is generally portrayed as a country of identity and diversity. It provides tourists with positive experiences in terms of places of interest, food and local lifestyles and is cost-competitive. Strangerhood and authenticity are two outstanding sociolinguistic features exhibited in these travel blog posts. The findings of this study also underline the co-contribution of the linguistic sign, in this case evaluative adjectives, and the visual sign, in this case still images, as interpersonal meaning-making resources. To portray Vietnam, still images served as integral elements to evidence the credibility of verbal narrations. To unveil sociolinguistic characteristics of travel blogs, still images supported the linguistic realizations of authenticity and strangerhood on the posts, and in some case delivered an even stronger message than words. Not only does the study present a source of feedback from international travelers to tourism practice in Vietnam, but it also provides insights into multimodal analysis of tourism discourse which remains an under-researched area in Vietnam.

A Study on the Estimation of the Design Flood for Small Catchment in Sobaek (소백산 소하천 유역의 홍수량 산정에 대한 고찰)

  • Hyung Joon Chang;Seong Goo Kim;Ki Soon Park;Young Ho Yoon
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.2
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    • pp.99-104
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    • 2023
  • In recent years, the occurrence of abnormal weather has increased rapidly, increasing the frequency of torrential rain. As a result, stable water resource management is difficult, and human and material damage is increasing. Various measures are being established to reduce damage caused by torrential rains, but small-scale mountain catchments are relatively difficult to manage due to lack of basic plan. In this study, the risk of flooding was evaluated using the rainfall-flow model in the Yeonhwa-dong catchment national park among national parks in Korea. The Yeonhwa-dong catchment of Mt. Sobaeksan was simulated to cause flooding when rainfall of more than 50 years occurred, and it was confirmed that there was a high risk of water resource structures, safety facilities, and trails.

Experimental Studies on the Skin Barrier Improvement and Anti-inflammatory Activity based on a Bibliometric Network Map

  • Eunsoo Sohn;Sung Hyeok Kim;Chang Woo Ha;Sohee Jang;Jung Hun Choi;Hyo Yeon Son;Cheol-Joo Chae;Hyun Jung Koo;Eun-Hwa Sohn
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2023.04a
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    • pp.40-40
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    • 2023
  • Atopic dermatitis is a chronic inflammatory skin diseases caused by skin barrier dysfunction. Allium victoralis var. Platyphyllum (AVP) is a perennial plant used as vegetable and herbal medicine. The purpose of this study was to suggest that AVP is a new cosmetic material by examining the effects of AVP on the skin barrier and inflammatory response. A bibliometric network analysis was performed through keyword co-occurrence analysis by extracting author keyword from 69 articles retrieved from SCOPUS. We noted the anti-inflammatory activity shown by the results of clustering and mapping from network visualization analysis using VOSviewer software tool. HPLC-UV analysis showed that AVP contains 0.12 ± 0.02 mg/g of chlorogenic acid and 0.10 ± 0.01 mg/g of gallic acid. AVP at 100 ㎍/mL was shown to increase the mRNA levels of filaggrin and involucrin related to skin barrier function by 1.50-fold and 1.43-fold, respectively. In the scratch assay, AVP at concentrations of 100 ㎍/mL and 200 ㎍/mL significantly increased the cell migration rate and narrowed the scratch area. In addition, AVP suppressed the increase of inflammation-related factors COX-2 and NO and decreased the release of β-hexosaminidase. This study suggests that AVP can be developed as a functional cosmetic material for atopy management through skin barrier protection effects, anti-inflammatory and anti-itch effects.

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Trend Analysis of Complex Disasters in South Korea Using News Data (뉴스데이터를 활용한 국내 복합재난 발생 동향분석)

  • Eun Hye Shin;Do Woo Kim;Seong Rok Chang
    • Journal of the Korean Society of Safety
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    • v.38 no.6
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    • pp.50-59
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    • 2023
  • As the diversity of disasters continues to increase, the concept of "complex disasters" has gained prominence in various policies and studies related to disaster management. However, there has been a certain limitation in the availability of the systematic statistics or data in advancing policies and research initiatives related to complex disasters. This study aims to analyze the macro-level characteristics of the complex disasters that have occurred domestically utilizing a 30-year span of a news data. Initially, we categorize the complex disasters into the three types: "Natural disaster-Natural disaster", "Natural disaster-Social disaster", and "Social disaster-Social disaster". As a result, the "natural diaster-social disaster" type is the most prevalent. It is noted that "natual disaster-natural disaster" type has increased significantly in recent 10 years (2011-2020). In terms of specific disaster types, "Storm and Flood", "Collapse", "Traffic Accident", "National Infrastructure Paralysis", and "Fire⋅Explosion" occur the most in conjunction with other disasters in a complex manner. It has been observed that the types of disasters co-ocuuring with others have become more diverse over time. Parcicularly, in recent 10 years (2011-2020), in addition to the aforementioned five types, "Heat Wave", "Heavy Snowfall⋅Cold Wave", "Earthquake", "Chemical Accident", "Infectious Disease", "Forest Fire", "Air Pollution", "Drought", and "Landslide" have been notable for their frequent co-occurrence with other disasters. These findings through the statistical analysis of the complex disasters using long-term news data are expected to serve as crucial data for future policy development and research on complex disaster management.