• Title/Summary/Keyword: School policy

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Receptor Binding Affinities of Synthetic Cannabinoids Determined by Non-Isotopic Receptor Binding Assay

  • Cha, Hye Jin;Song, Yun Jeong;Lee, Da Eun;Kim, Young-Hoon;Shin, Jisoon;Jang, Choon-Gon;Suh, Soo Kyung;Kim, Sung Jin;Yun, Jaesuk
    • Toxicological Research
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    • v.35 no.1
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    • pp.37-44
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    • 2019
  • A major predictor of the efficacy of natural or synthetic cannabinoids is their binding affinity to the cannabinoid type I receptor ($CB_1$) in the central nervous system, as the main psychological effects of cannabinoids are achieved via binding to this receptor. Conventionally, receptor binding assays have been performed using isotopes, which are inconvenient owing to the effects of radioactivity. In the present study, the binding affinities of five cannabinoids for purified $CB_1$ were measured using a surface plasmon resonance (SPR) technique as a putative non-isotopic receptor binding assay. Results were compared with those of a radio-isotope-labeled receptor binding assay. The representative natural cannabinoid ${\Delta}^9$-tetrahydrocannabinol and four synthetic cannabinoids, JWH-015, JWH-210, RCS-4, and JWH-250, were assessed using both the SPR biosensor assay and the conventional isotopic receptor binding assay. The binding affinities of the test substances to $CB_1$ were determined to be (from highest to lowest) $9.52{\times}10^{-3}M$ (JWH-210), $6.54{\times}10^{-12}M$ (JWH-250), $1.56{\times}10^{-11}M$ (${\Delta}^9$-tetrahydrocannabinol), $2.75{\times}10^{-11}M$ (RCS-4), and $6.80{\times}10^{-11}M$ (JWH-015) using the non-isotopic method. Using the conventional isotopic receptor binding assay, the same order of affinities was observed. In conclusion, our results support the use of kinetic analysis via SPR in place of the isotopic receptor binding assay. To replace the receptor binding affinity assay with SPR techniques in routine assays, further studies for method validation will be needed in the future.

Current State and Improvement of Safety Regulations of Working Platform and Working Passage in Construction Sites (건설현장 작업발판 및 가설통로의 안전기준 현황 및 개선점)

  • Jang, Jun Young;Ahn, Hongseob;Oh, Inhwan;Kim, Tae Wan
    • Journal of the Korea Institute of Construction Safety
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    • v.2 no.1
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    • pp.28-35
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    • 2019
  • The average number of deaths in the construction industry reaches 500 per year, and in particular, it is confirmed that the type of accidents and deaths caused by disasters such as work platforms has occupied more than 60% of the total. In this study, we presented a structured and combined solution for technology, management, education, and cost that can solve systematically, politically, and external environmental factors as well as direct influence factors. In addition, we examined the safety and safety standards of domestic and international safety, and discussed implications. First, direct impact factors, organizational impact factors, policy influence factors, and external environmental impact factors were examined and classified into technical, education, and institutional dimensions. Second, in relation to the installation of the work scaffold, the standards (OSHA 1926.452), UK (The Work at Height Regulations 2005 No.735, BS5975), Japan (Labor Safety and Sanitation Regulations) and Germany (DIN 4420_4, DIN EN12810). In the case of domestic safety standards, similar to the foreign safety standards, safety measures such as materials and specifications are applied. However, details related to the installation, assembly and structure of the work platform are somewhat different from those in the United States and the United Kingdom excluding Japan. Using the results of this study, it is possible to understand the cause of the accident of foot pedestrian accident more systematically and comprehensively, and safety managers and researchers are expected to help in the accident investigation.

An Integrated Review on Main Caregiver's Burden of Elderly in Korean Nursing Home (한국 요양시설 노인의 주 돌봄자 부담감에 대한 통합적 고찰)

  • Kim, Eun Jeong;Sung, Kyung Mi
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.267-277
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    • 2019
  • The purpose of this study is to investigate the burden of caring for the care-givers of the elderly in Korea by using an integrated literature review method. A total of 23 studies were analyzed using a search database. When care-givers had higher sense of filial and guilt or more than two diseases, they showed high level of feeling of burden. Also, they had high level of feeling of physical burden by their oldness, service period (especially at the period of 1-3 years). In the feeling of economic burden, they had high level of feeling of burden by their oldness, or elderly's disease periods. The feeling of burden by psychological condition was found in elderly in aged and the beginning of admission of nursing home. The feeling of burden by environment situation was found when the functional status of the elderly was bad. Therefore, we need to concern care-givers's feeling of burden with elderly people in the nursing home. In the future, I believe that the findings of this study will be helpful for development of the intervention program for alleviate burden for the care-giver.

Development of AI-based Real Time Agent Advisor System on Call Center - Focused on N Bank Call Center (AI기반 콜센터 실시간 상담 도우미 시스템 개발 - N은행 콜센터 사례를 중심으로)

  • Ryu, Ki-Dong;Park, Jong-Pil;Kim, Young-min;Lee, Dong-Hoon;Kim, Woo-Je
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.750-762
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    • 2019
  • The importance of the call center as a contact point for the enterprise is growing. However, call centers have difficulty with their operating agents due to the agents' lack of knowledge and owing to frequent agent turnover due to downturns in the business, which causes deterioration in the quality of customer service. Therefore, through an N-bank call center case study, we developed a system to reduce the burden of keeping up business knowledge and to improve customer service quality. It is a "real-time agent advisor" system that provides agents with answers to customer questions in real time by combining AI technology for speech recognition, natural language processing, and questions & answers for existing call center information systems, such as a private branch exchange (PBX) and computer telephony integration (CTI). As a result of the case study, we confirmed that the speech recognition system for real-time call analysis and the corpus construction method improves the natural speech processing performance of the query response system. Especially with name entity recognition (NER), the accuracy of the corpus learning improved by 31%. Also, after applying the agent advisor system, the positive feedback rate of agents about the answers from the agent advisor was 93.1%, which proved the system is helpful to the agents.

A Needs Assessment of People with Hearing Impairment for Hearing Augmentation Technology Development: Focusing on Risk Context Awareness Communication (청각증강 기술 개발을 위한 청각장애인의 욕구조사: 위험상황 인식 및 의사소통 분야를 중심으로)

  • Lee, Jun Woo;Lee, Hyuna;Bach, Jong Mie
    • 재활복지
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    • v.22 no.3
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    • pp.225-257
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    • 2018
  • The purpose of this study is to find the application point of hearing augmentation technology development through examining the risk context experience of people with hearing impairment and the use of assistive device used as an alternative technology. Data of 355 people with hearing impairment with official disability grading was analyzed. The results of this study are first, research participants had no experience of recognizing any sound or vibration in situations highest in the order of means of transportation, material, and nature. Especially the ratio of being unable to recognize the sound and vibration of means of transportation was high, which implies the high possibility of people with hearing impairment experiencing risk. Secondly, the risk context that people with hearing impairment will most likely to experience are highest in the order of traffic accident, pedestrian accident, and daily life at home. Thirdly, the recognition of 2G phone/smart phone, vibrating digital alarm clock, light bar, vibrating wrist watch as assistive device for risk context awareness and notification was high and the satisfaction level of 2G phone/smart phone was the highest. Fourthly, the research participants had high recognition of assistive device for communication in the order of hearing aid, smart phone, videophone, cochlear implant and 2G phone and it was found that the satisfaction level and communication improvement level was the highest using the smart phone. Lastly, for the development of hearing augmentation technology the research participants recognized the importance of portable/wear convenience, price, and motion accuracy and for notification delivery means they preferred the method of using sight(text and light). Based on the results of this study policy and practical plans for hearing augmentation technology development for people with hearing impairment in risk context are proposed.

The Study of the Disability Education Experience of the Mothers for their Children with Brain Lesions - Hermeneutic Grounded Theory Methodology - (중증뇌병변장애인 자녀를 둔 어머니들의 장애자녀 교육경험에 관한 연구 -해석학적 질적연구-)

  • Kang, Sun Kyung;Choi, Yoon
    • 재활복지
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    • v.20 no.4
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    • pp.79-106
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    • 2016
  • This study examined the meanings of the disability education of the mothers who reared their children with brain lesions. For this purpose, Rennie's hermeneutic grounded theory was applied and the consented 7 mothers participated in this study. With the in-depth interviews, 53 meaning units, 16 subordinate categories and 7 hermeneutic categories were classified. These 7 hermeneutic categories were 'wailing miserably everyday', 'social mobilization of the surroundings', 'straight forward', 'smash rock with the eggs', 'looking at a faraway', 'learning together' and 'subjectivation of disability education.' The experience of disabled children education process was concurrent experience of frustration and hoping that moving toward a big hope through the resignation stage, the chasing stage, the vision stage, the challenge stage, and the small achievement stage. Repetitive common patterns of behavior revealed three types: wishy-washy type, realistic-strategy type, and indomitable-challenge type. Moreover, the core category of educational experience was concluded to be 'a pedagogical process of turning despair from severe disabilities into hope through education.' Based on the analysis results, concrete intervention plans for social welfare practice were suggested to support the disabled children's lives with high quality of education.

A Preliminary Study on Public Private Partnership in International Forestry Sector to Climate Change Based on Awareness Analysis of Private Enterprises (민간 기업의 인식조사를 바탕으로 한 기후변화 대응 국제산림분야 민관파트너십 사업 활성화 방안 기초 연구)

  • Kim, Jiyeon;Yoon, Taekyung;Han, Saerom;Park, Chanwoo;Lee, Suekyung;Kim, Sohee;Lee, Eunae;Son, Yowhan
    • Journal of Climate Change Research
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    • v.3 no.4
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    • pp.281-291
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    • 2012
  • Forests act as carbon sinks and also improve water resources and biodiversity to climate change. Secure funding, administrative support, and sustainable management systems are essential to conserve forests and to implement international forestry related projects to climate change. Public private partnership (PPP) could be an effective way for forestry sector in developing countries. Awareness analysis should be preceded in order to encourage participation of enterprises for the diversification of funding and the enhancing quality of projects. We conducted a survey targeting more than 129 private enterprises for awareness analysis. As a result, lack of information, complexity of processes and low profit resulted in low interest on forest projects from private enterprises. Improving awareness of recipient countries on forest resources, financial and institutional supports from the public sector, information sharing, performance management and equal partnership between sectors were suggested to encourage PPP in international forestry related projects to climate change.

Investigating Opinion Mining Performance by Combining Feature Selection Methods with Word Embedding and BOW (Bag-of-Words) (속성선택방법과 워드임베딩 및 BOW (Bag-of-Words)를 결합한 오피니언 마이닝 성과에 관한 연구)

  • Eo, Kyun Sun;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.163-170
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    • 2019
  • Over the past decade, the development of the Web explosively increased the data. Feature selection step is an important step in extracting valuable data from a large amount of data. This study proposes a novel opinion mining model based on combining feature selection (FS) methods with Word embedding to vector (Word2vec) and BOW (Bag-of-words). FS methods adopted for this study are CFS (Correlation based FS) and IG (Information Gain). To select an optimal FS method, a number of classifiers ranging from LR (logistic regression), NN (neural network), NBN (naive Bayesian network) to RF (random forest), RS (random subspace), ST (stacking). Empirical results with electronics and kitchen datasets showed that LR and ST classifiers combined with IG applied to BOW features yield best performance in opinion mining. Results with laptop and restaurant datasets revealed that the RF classifier using IG applied to Word2vec features represents best performance in opinion mining.

Analysis of The Mediating Effect of Food Quality and Price Fairness in The Relation between Servicescape and User Satisfaction - A Case Study of A University Student Cafeteria Evaluation - (서비스스케이프가 이용만족 간의 관계에서 음식의 품질과 가격공정성의 매개효과 분석 -A대학 학생 식당 사례를 중심으로-)

  • Kim, Jong-Moo
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.379-387
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    • 2019
  • This study analyzed what the Servicescape factor of the student cafeteria in university is, whether food quality and price fairness show any mediating effect in relation between Servicescape factor and user satisfaction. First, analysis shows that Servicescape factors of cafeteria for university students are 'extensity', 'cleanness', 'aesthetic' and 'agreeableness'. Second, 'cleanness and 'aesthetic' factors are found to have positive(+) influences on user satisfaction. Third, 'cleanness', 'aesthetic' factors are found to have positive(+) influences on food quality. Fourth, 'cleanness' factors of food quality shows complete mediating effect in the influential relation between Servicescape factor and user satisfaction and 'aesthetic' factors shows partial mediating effect. Fifth, significant influence was not seen in all factors of price fairness by Servicescape factors of student cafeteria in university. Sixth, price fairness was found to play no mediating role in the influential relation between Servicescape factor and user satisfaction. This study will help understand the mediating effect of food quality and price fairness in the relation between the Servicescape of student cafeteria in university and user satisfaction.

Exploring Feature Selection Methods for Effective Emotion Mining (효과적 이모션마이닝을 위한 속성선택 방법에 관한 연구)

  • Eo, Kyun Sun;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.107-117
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    • 2019
  • In the era of SNS, many people relies on it to express their emotions about various kinds of products and services. Therefore, for the companies eagerly seeking to investigate how their products and services are perceived in the market, emotion mining tasks using dataset from SNSs become important much more than ever. Basically, emotion mining is a branch of sentiment analysis which is based on BOW (bag-of-words) and TF-IDF. However, there are few studies on the emotion mining which adopt feature selection (FS) methods to look for optimal set of features ensuring better results. In this sense, this study aims to propose FS methods to conduct emotion mining tasks more effectively with better outcomes. This study uses Twitter and SemEval2007 dataset for the sake of emotion mining experiments. We applied three FS methods such as CFS (Correlation based FS), IG (Information Gain), and ReliefF. Emotion mining results were obtained from applying the selected features to nine classifiers. When applying DT (decision tree) to Tweet dataset, accuracy increases with CFS, IG, and ReliefF methods. When applying LR (logistic regression) to SemEval2007 dataset, accuracy increases with ReliefF method.