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      • KCI등재

        자기통제력, 애착 및 비행간의 관계에 있어서 성차검증 - 애착요인들의 매개효과를 중심으로 -

        이서호(Lee, Seo Ho),박정선(Park, Cheng Sun) 경찰대학 경찰학연구편집위원회 2022 경찰학연구 Vol.22 No.1

        본 연구는 자기통제력과 애착 및 비행간의 관계를 성차를 중심으로 알아보았다. 연구결과, 자기통제력은 성 구분없이 애착요인들과 비행에 유의한 영향을 주었다. 하지만 애착요인들이 비행에 미치는 영향에 있어서는 성차가 존재한 바, 특히 남자 청소년의 경우 부모애착이, 여자 청소년의 경우엔 자기통제력이 가장 큰 영향을 가졌다. 애착요인들을 통한 간접효과의 경우 전체적으로 유의하였다. 이를 통해, Gottfredson과 Hirshi의 애착요인들과 비행간의 ‘허위’ 주장은 성 구분없이 일반적으로 지지되지 않는 것으로 보이며 오히려 애착요인들은 자기통제력과 비행간의 관계를 ‘매개’ 할 수 있는 것으로 보는 것이 더욱 일반적이었다. 애착유형에 따른 특정간접효과를 구체적으로 살펴보면 남녀 각각에서 친구애착과 부모애착은 유의하였으나 교사애착은 모두 유의하지 않았다. 나아가 특정간접효과의 크기비교를 보면 남자 청소년은 부모애착이 친구애착보다 영향이 컸으나 여자 청소년의 경우엔 같았다. 이와 같은 결과들은 성차별적 비행예방 대책이 보다 효율적일 수 있음을 시사한다. This study investigated the relationship among self-control, attachment, and delinquency, focusing on gender differences. As a result of the study, self-control had a significant effect on attachment factors and delinquency regardless of gender. However, there was a gender difference in the effect of attachment factors on delinquency. In particular, for male juvenile, pare ntal attachment and for female juvenile, self-control had the greatest influence. The indirect effect through attachment factors was significant overall. From this, Gottfredson and Hirshi’s ‘false’ claims between attachment factor s and delinquency appear to be generally unsupported regardless of gender, and rather, it is more common to view attachment factors as capable of ‘mediating’ the relationship between self-control and delinquency. Looking at the specific indirect effects according to attachment type, friend attachment and parent attachment were significant in both males and females, but teacher attachment was not significant. Furthermore, when comparing the magnitude of the specific indirect effect, parental attachment was more influential than friend attachment in male juvenile, but it was the same in female juvenile. This suggests that gender-separated juvenile prevention measures can be more effective.

      • KCI우수등재SCOPUS

        해당화 뿌리 추출물의 면역 중진 효과

        이미경(Mi Kyoung Lee),이서호(Seo Ho Lee),최근표(Geun Pyo Choi),유창연(Chang Yeon Yu),이신영,이진하(Jin Ha Lee),이현용(Hyeon Yong Lee) 한국약용작물학회 2003 한국약용작물학회지 Vol.11 No.1

        The biological activities of extracts from Rosa rugosae Radix were compared. About 78% of the growth of human hepato-carcinoma and 68% of human gastric cancer cell was inhibited in adding 0.5% ㎎/ml of the extracts of Rosa rugosae Radix respectively. The growth of human breast cancer cells was also inhibited in adding 0.5㎎/ml of the extracts as well as 66% of the human cancer cells. It was proved that the growth of human normal lung cell, scored as 20% for the extracts. Overall selectivity of the extracts on several human cancer cell line was over 4, which in higher than those from the Rosa rugosae Radix. The growth of both human immune B and T cells was enhanced up to 1.2 to 1.5 times by adding the extracts, compared to the controls. The secretion of tumor necrosis factor-alpha(TNF-α) from T cell was also increased up to 61.9pg/ml in adding the ethanol extract (0.5㎎/ml). Ethanol extract also increased up to about 61.3pg/ml of interleukin-6(IL-6) from B cell.

      • SCOPUSKCI등재
      • KCI등재

        아크릴계 점착부여제의 제조 및 이를 함유한 아크릴계 점착제의 물리적 특성

        유룡,이서호,박원호,You, Ryong,Lee, Seo-Ho,Park, Won Ho 한국섬유공학회 2015 한국섬유공학회지 Vol.52 No.6

        An acrylate tackifier was prepared for producing high performance acrylic pressure-sensitive adhesives (PSAs). PSAs exhibiting high adhesion values were prepared using 2-ethyl hexylacrylate (2-EHA), 2-carboxyethyl acrylate (${\beta}$-CEA), and acrylic acid (AA) monomers. The acrylate tackifier was prepared using an acrylic monomer for improving its compatibility with the acrylic PSA. The weight-average molecular weights of PSA and the acrylate tackifier were found to be around $1.2{\times}10^6g/mol$ and 20,000-40,000 g/mol, respectively. Physical properties (such as the peel strength, tack, and the holding power) of the mixtures of acrylic PSA with different acrylate tackifiers were enhanced with an increase in the amount of tackifier added.

      • KCI등재

        이중 경화를 위한 자외선 반응형 올리고머의 합성 및 특성 분석

        유룡,이서호,박원호,You, Ryong,Lee, Seo-Ho,Park, Won Ho 한국섬유공학회 2015 한국섬유공학회지 Vol.52 No.4

        In this study, acrylic resin-based ultraviolet curable oligomers were synthesized for a dual-crosslinking system applicable to thermosetting pressure-sensitive adhesives (PSAs). In addition, dual-curable PSA tapes were prepared by blending thermoset PSAs and UV curable oligomers. UV curable oligomers were synthesized using acrylate monomers, isophorone diisocyanate (IPDI), and propylene imine (PI). Acrylate monomers were added at a constant rate to IPDI for selective bonding to a single isocyanate group of IPDI, and a polymerization inhibitor was added to prevent polymerization. Additionally, the binding sites that were bonded to the adhesive backbone were formed by adding PI at a constant rate, after solvent addition. The synthesized UV oligomers were confirmed by ATR-FTIR spectroscopy and 1H NMR, and then the adhesive properties of the PSA tapes prepared by blending thermoset PSAs and UV curable oligomers were measured.

      • KCI등재

        기능성 단량체를 함유한 아크릴계 점착제의 물리적 특성

        유룡,이서호,박원호,You, Ryong,Lee, Seo Ho,Park, Won Ho 한국섬유공학회 2016 한국섬유공학회지 Vol.53 No.5

        Acrylic pressure-sensitive adhesives (PSAs) were prepared using functional monomers such as 2-carboxyethyl acrylate (${\beta}$-CEA) and acrylic acid (AA) to control the degree of crosslinking. Acrylic PSAs with different glass transition temperatures ($T_g$) were prepared using an acrylate monomer with a low $T_g$. Acrylic PSAs with different weight-average molecular weights ($M_w$) were also prepared using isopropyl alcohol (IPA). The physical properties (peel strength, tack, shear strength) of the adhesive tapes were found to be dependent on the molecular weight, degree of crosslinking, and $T_g$ of the acrylic PSA.

      • KCI등재

        마켓 인사이트를 위한 상품 리뷰의 다차원 분석 방안

        박정현(Park Jeong Hyun),이서호(Lee Seo Ho),임규진(Lim Gyu Jin),여운영(Yeo Un Yeong),김종우(Kim Jong Woo) 한국지능정보시스템학회 2020 지능정보연구 Vol.26 No.2

        With the development of the Internet, consumers have had an opportunity to check product information easily through E-Commerce. Product reviews used in the process of purchasing goods are based on user experience, allowing consumers to engage as producers of information as well as refer to information. This can be a way to increase the efficiency of purchasing decisions from the perspective of consumers, and from the sellers point of view, it can help develop products and strengthen their competitiveness. However, it takes a lot of time and effort to understand the overall assessment and assessment dimensions of the products that I think are important in reading the vast amount of product reviews offered by E-Commerce for the products consumers want to compare. This is because product reviews are unstructured information and it is difficult to read sentiment of reviews and assessment dimension immediately. For example, consumers who want to purchase a laptop would like to check the assessment of comparative products at each dimension, such as performance, weight, delivery, speed, and design. Therefore, in this paper, we would like to propose a method to automatically generate multi-dimensional product assessment scores in product reviews that we would like to compare. The methods presented in this study consist largely of two phases. One is the pre-preparation phase and the second is the individual product scoring phase. In the pre-preparation phase, a dimensioned classification model and a sentiment analysis model are created based on a review of the large category product group review. By combining word embedding and association analysis, the dimensioned classification model complements the limitation that word embedding methods for finding relevance between dimensions and words in existing studies see only the distance of words in sentences. Sentiment analysis models generate CNN models by organizing learning data tagged with positives and negatives on a phrase unit for accurate polarity detection. Through this, the individual product scoring phase applies the models pre-prepared for the phrase unit review. Multi-dimensional assessment scores can be obtained by aggregating them by assessment dimension according to the proportion of reviews organized like this, which are grouped among those that are judged to describe a specific dimension for each phrase. In the experiment of this paper, approximately 260,000 reviews of the large category product group are collected to form a dimensioned classification model and a sentiment analysis model. In addition, reviews of the laptops of S and L companies selling at E-Commerce are collected and used as experimental data, respectively. The dimensioned classification model classified individual product reviews broken down into phrases into six assessment dimensions and combined the existing word embedding method with an association analysis indicating frequency between words and dimensions. As a result of combining word embedding and association analysis, the accuracy of the model increased by 13.7%. The sentiment analysis models could be seen to closely analyze the assessment when they were taught in a phrase unit rather than in sentences. As a result, it was confirmed that the accuracy was 29.4% higher than the sentence-based model. Through this study, both sellers and consumers can expect efficient decision making in purchasing and product development, given that they can make multi-dimensional comparisons of products. In addition, text reviews, which are unstructured data, were transformed into objective values such as frequency and morpheme, and they were analysed together using word embedding and association analysis to improve the objectivity aspects of more precise multi-dimensional analysis and research. This will be an attractive analysis model in terms of not only enabling more effective service deployment during the evolving E-Commerce market and fierce competitio

      • 복합 추적 기법을 활용한 암반지하수 오염 평가

        이성순(Seong-Sun Lee),전성천(Sung-Chun Jun),하승욱(Seung-Wook Ha),김예지(Ye Ji Kim),이서호(Seo-Ho Lee),이강근(Kang-Kun Lee) 대한지질학회 2021 대한지질학회 학술대회 Vol.2021 No.10

        복잡한 부지 특성과 오염물의 정화/저감기술 수준, 비용 문제 등으로 인하여 오염부지 대부분 적절한 관리조치 없이 방치되고 있어 이에 대한 기술개발 및 적용이 시급하다. 특히, 오염확산 억제 및 정화기술이 동시에 적용 가능한 정화공법들에 대해 국내의 복잡한 수리지질학적 및 오염물의 물리·화학적 특성과 특히, 암반파쇄대 지하수 오염에 대해 적합한 정화설계 인자들을 제시하는 것이 중요한 과제로 대두되었다. 따라서, 본 연구는 복합 오염 추적 기법(열 간섭시험 기술, 다중동위원소 분석 기법, 다중 오염원 역추적 확률 모델링 기법, 단열대 선택성 경로 파악을 위한 수리간섭 시험 활용 기술, 복합 물질 추적자 연계 활용 기술)을 통해 고농도 유류 오염부지에 대해 수리적 개념모델을 구축하고, 오염물질 분포 파악을 위한 다중 추적자를 연계한 3차원 현장시험 기술을 개발하고, 이를 통해 암반대 특성에 따른 오염물 분포 및 거동 특성을 평가하는 것이다. 최종적으로 평가된 결과를 토대로 오염확산방지 요소기술을 확보하고, 암반 오염 정화에 적용되는 물리, 화학, 생물학적 정화공법의 현장 맞춤형 활성화 기술 도출에 활용하고자 한다.

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