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Does dexmedetomidine combined with levobupivacaine in inferior alveolar nerve blocks among patients undergoing impacted third molar surgery control postoperative morbidity?

  • Patil, Shweta Murlidhar;Jadhav, Anendd;Bhola, Nitin;Hingnikar, Pawan;Kshirsagar, Krutarth;Patil, Dipali
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.22 no.2
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    • pp.145-153
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    • 2022
  • Background: Postoperative analgesia (POA) is an important determinant of successful treatment. Dexmedetomidine (DEX) has recently gained attention as a promising adjuvant to local anesthetics (LA). The present study aimed to evaluate the efficacy and safety of levobupivacaine (LB) as an adjuvant during inferior alveolar nerve block (IANB) in the extraction of lower impacted third molars (LITM). Methods: A prospective, randomized, placebo-controlled, triple-blind, parallel-arm, and clinical study was performed on 50 systemically healthy participants who required removal of an asymptomatic LITM. Using a 1:1 distribution, the participants were randomized into two groups (n = 25). Group L (control group) received 1.8 mL of 0.5% LB and 0.2 mL normal saline (placebo) and Group D (study group) received a blend of 1.8 mL of 0.5% LB and 0.2 mL (20 ㎍) DEX. The primary outcome variable was the duration of POA and hemodynamic stability, and the secondary variable was the total number of analgesics required postoperatively for up to 72 h. The participants were requested to record the time of rescue analgesic use and the total number of rescue analgesics taken. The area under the curve was plotted for the total number of analgesics administered. The pain was evaluated using the visual analog scale. Data analysis was performed using paired students and unpaired t-test, Mann-Whitney U test, Chi-square test, and receiver operating characteristic analysis. Statistical significance was set at P < 0.05. Results: The latency, profoundness of anesthesia, and duration of POA were statistically significant (P < 0.05). The differences between mean pain scores at 6, 12, 24, 48, and 72 h were found to be significant (each P = 0.0001). Fewer analgesics were required by participants in group D (2.12 ± 0.33) than in L (4.04 ± 0.67), with a significant difference (P = 0.0001). Conclusion: Perineurally administered LA with DEX is a safe, effective, and therapeutic approach for improving latency, providing profound POA, and reducing the need for postoperative analgesia.

A Study on the Analysis of work efficiency to the tax reorganization project of regional headquarters of Korea Asset Management Corporation (한국자산관리공사 지역본부의 조세정리사업 성과에 대한 효율성 분석)

  • Namgung, Yeong;Yoon, Jun-Sang;Hong, Soon-Man;Park, Young-Soon;Lee, Jun-Hyung
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.529-539
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    • 2022
  • This study analyzed the index change in efficiency and productivity for the tax reorganization project of the regional headquarters of Korea Asset Management Corporation using panel data for 3 years from 2017 to 2019 using the DEA-Malmquist analysis model. According to the DEA analysis result, the average of the efficiency by the CCR model of the regional headquarters tax reorganization project of the Korea Asset Management Corporation was 0.671 in 2017, 0.772 in 2018, and 0.699 in 2019, and the average of the efficiency by the BCC model was 0.798 in 2017, 0.851 in 2018 and 0.771 in 2019. As a result of analyzing the Malmquist productivity index, the time series average productivity index MPI increased by 4.5%. These results appear to be attributable to the increase in technological efficiency, technological change, and scale-efficiency change rather than the decrease in net efficiency change. Looking at the change in MPI by year, it decreased by 14.6% in 2017-2018, but increased significantly to 27.8% in 2018-2019. Through the results of DEA analysis of specific tax projects of public corporations, each regional headquarters of Korea Asset Management Corporation will be able to contribute to reinforcing business capabilities through mutual benchmarking.

Evaluation of Population Exposures to PM2.5 before and after the Outbreak of COVID-19 (서울시 구로구에서 COVID-19 발생 전·후 초미세먼지(PM2.5) 농도 변화에 따른 인구집단 노출평가)

  • Kim, Dongjun;Min, Gihong;Choe, Yongtae;Shin, Junshup;Woo, Jaemin;Kim, Dongjun;Shin, Junghyun;Jo, Mansu;Sung, Kyeonghwa;Choi, Yoon-hyeong;Lee, Chaekwan;Choi, Kilyoong;Yang, Wonho
    • Journal of Environmental Health Sciences
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    • v.47 no.6
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    • pp.521-529
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    • 2021
  • Background: The coronavirus disease (COVID-19) has caused changes in human activity, and these changes may possibly increase or decrease exposure to fine dust (PM2.5). Therefore, it is necessary to evaluate the exposure to PM2.5 in relation to the outbreak of COVID-19. Objectives: The purpose of this study was to compare and evaluate the exposure to PM2.5 concentrations by the variation of dynamic populations before and after the outbreak of COVID-19. Methods: This study evaluated exposure to PM2.5 concentrations by changes in the dynamic population distribution in Guro-gu, Seoul, before and after the outbreak of COVID-19 between Jan and Feb, 2020. Gurogu was divided into 2,204 scale standard grids of 100 m×100 m. Hourly PM2.5 concentrations were modeled by the inverse distance weight method using 24 sensor-based air monitoring instruments. Hourly dynamic population distribution was evaluated according to gender and age using mobile phone network data and time-activity patterns. Results: Compared to before, the population exposure to PM2.5 decreased after the outbreak of COVID-19. The concentration of PM2.5 after the outbreak of COVID-19 decreased by about 41% on average. The variation of dynamic population before and after the outbreak of COVID-19 decreased by about 18% on average. Conclusions: Comparing before and after the outbreak of COVID-19, the population exposures to PM2.5 decreased by about 40%. This can be explained to suggest that changes in people's activity patterns due to the outbreak of COVID-19 resulted in a decrease in exposure to PM2.5.

Center of Asia, The Role and Potential of K-Musical (아시아의 중심, K-Musical의 역할과 가능성)

  • Lee, Eun-Hye
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.2
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    • pp.73-84
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    • 2020
  • South Korea's newly branded musical industry 'K-Musical' is currently booming. The growth of K-Musical can be attributed to the popularity of other industries in the Korean wave, namely K-Pop and Korean dramas. With the inclusion of K-Musicals into the Korean wave, it is beginning to standout on its own as a cultural brand. In the first half of 2012, the popularity of K-Musicals grew 24%, higher than any other performance industry. Moreover, this industry grew 20% in the latter half of 2012 and grew to 300 billion won in 2013. One reason for this growth can be attributed to the increased output of musicals of Korean origin in large-scale theatres dedicated solely to musicals. This has became to necessary foundation for the export of korean musicals abroad. Now is a critical time for Korean musicals to expand to other countries in order to become the hub of Asia for musical industries. 2012 and 2013 saw the greatest increase in the export of musicals to Japan and China. The musical sales in 2018 totaled 257.1 billion won, an increase of 29% over the previous year. Therefore, understanding the importance of these two markets is pivotal in the continued sustainable growth of K-Musicals. This paper seeks to highlights the importance of becoming the canter of Asia musicals and to offer strategies to lead Korea's musical industry toward this goal.

Big Data-based Monitoring System Design for Water Quality Analysis that Affects Human Life Quality (인간의 삶의 질에 영향을 끼치는 수질(물) 분석을 위한 빅데이터 기반 모니터링 시스템 설계)

  • Park, Sung-Hoon;Seo, Yong-Cheol;Kim, Yong-Hwan;Pang, Seung-Peom
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.3
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    • pp.289-295
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    • 2021
  • Today, the most important factor affecting the quality of human life is thought to be due to the environment. The importance of environmental monitoring systems to improve human life and improve welfare as the magnitude of the damage increases year by year due to the rapid increase in the frequency of hail, typhoons, collapse of incisions, landslides, etc. Is increasing day by day. Among environmental problems, problems caused by water quality have a very high proportion, and as there is a growing concern that the scale of damage will increase when water pollution accidents occur due to urbanization and industrialization, the demand for social water safety nets is increasing. have. In the last 5 years, 259 cases of water pollution (Han River 99, Nakdong River 31, Geum River 25, Seomjin River and Yeongsan River 19, and 85 others) have occurred in the four major river basins. Caused damage. Therefore, it is required to establish a water quality environment management strategy system based on big data that can minimize the uncertainty of the water quality environment by expanding the target of water quality management from the current water quality management system centered on the four major rivers to small and medium-sized rivers, tributaries/branches, and reservoirs. In this paper, we intend to construct and analyze a water quality monitoring system based on big data that can present useful water quality environment information by analyzing the water quality information accumulated for a long time.

Film Production Using Artificial Intelligence with a Focus on Visual Effects (인공지능을 이용한 영화제작 : 시각효과를 중심으로)

  • Yoo, Tae-Kyung
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.1
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    • pp.53-62
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    • 2021
  • After the first to present projected moving pictures to audiences, the film industry has been reshaping along with technological advancements. Through the full-scale introduction of visual effects-oriented post-production and digital technologies in the film-making process, the film industry has not only undergone significant changes in the production, but is also embracing the cutting edge technologies broadly and expanding the scope of industry. Not long after the change to digital cinema, the concept of artificial intelligence, first known at the Dartmouth summer research project in 1956, before the digitalization of film, is expected to bring about a big transformation in the film industry once again. Large volume of clear digital data from digital film-making makes easy to apply recent artificial intelligence technologies represented by machine learning and deep learning. The use of artificial intelligence techniques is prominent around major visual effects studios due to automate many laborious, time-consuming tasks currently performed by artists. This study aims to predict how artificial intelligence technology will change the film industry in the future through analysis of visual effects production cases using artificial intelligence technology as a production tool and to discuss the industrial potential of artificial intelligence as visual effects technology.

Review of Remote Sensing Applicability for Monitoring Marine Microplastics (해양 미세플라스틱 모니터링을 위한 원격탐사 적용 가능성 검토)

  • Park, Suhyeon;Kim, Changmin;Jeong, Seongwoo;Jang, Seonggan;Kim, Subeen;Ha, Taejung;Han, Kyung-soo;Yang, Minjune
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.835-850
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    • 2022
  • Microplastics have arisen as a worldwide environmental concern, becoming ubiquitous in all marine compartments, and various researches on monitoring marine microplastics are being actively conducted worldwide. Recently, application of a remote detection technology that enables large-scale real-time observation to marine plastic monitoring has been conducted overseas. However, in South Korea, there is little information linking remote detection to marine microplastics and some field studies have demonstrated remote detection of medium- and large-sized marine plastics. This study introduces research cases with remote detection of marine plastics in South Korea and overseas, investigates potential feasibility of using the remote detection technology to marine microplastic monitoring, and suggests some future works to monitor marine microplastics with the remote detection.

Comparative Analysis of ABM/P-15, Bone Morphogenic Protein and Demineralized Bone Matrix after Instrumented Lumbar Interbody Fusion

  • Sathe, Ashwin;Lee, Sang-Ho;Kim, Shin-Jae;Eun, Sang Soo;Choi, Yong Soo;Lee, Shih-min;Seuk, Ju-Wan;Lee, Yoon Sun;Shin, Sang-Ha;Bae, Junseok
    • Journal of Korean Neurosurgical Society
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    • v.65 no.6
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    • pp.825-833
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    • 2022
  • Objective : ABM/P-15 (anorganic bone matrix/15-amino acid peptide fragment) is a commercially available synthetically manufactured P-15 collagen peptide fragment, that is adsorbed on ABM. This study was done to investigate the efficacy of ABM/P-15 in achieving fusion in the lumbar spine and comparing it with that of recombinant bone morphogenic protein-2 (rhBMP-2) and demineralized bone matrix (DBM). Methods : A retrospective observational study of prospectively collected data of 140 patients who underwent lumbar spinal fusion surgeries in a single specialty spine hospital between 2016 and 2020, with a minimum 6-month follow-up was conducted. Based on the material used for the augmentation of the bone graft at the fusion site, the patients were divided into three categories namely ABM/P-15, rhBMP-2, and DBM group. Results : ABM/P-15, rhBMP-2, and DBM were used in 46, 44, and 50 patients, respectively. Patient characteristics like age, gender, bone mineral density, smoking history, and presence of diabetes mellitus were comparable amongst the three groups. Average follow-up was 16.0±5.2, 17.9±9.8, and 26.2±14.9 months, respectively in ABM/P-15, rhBMP-2, and DBM groups. The fusion was achieved in 97.9%, 93.2%, and 98% patients while the average time-to-union was 4.05±2.01, 10±4.28, and 9.44±3.49 months (p<0.001), respectively for ABM/P-15, rhBMP-2, and DBM groups. The average pre-operative Visual analogue scale score was 6.93±2.42, 7.14±1.97, 7.01±2.14 (p=0.900) for ABM/P-15, rhBMP-2 and DBM groups, respectively, which reduced to 1.02±0.80, 1.21±0.96, and 0.54±0.70 (p=0.112), respectively at the last follow up. Pre-operative Oswestry disability index scores were 52.7±18.02, 55.4±16.8, and 53.56±19.6 (p=0.751) in ABM/P-15, rhBMP-2, and DBM groups, which post-operatively reduced to 33.77±15.52, 39.42±16.47, and 38.3±15.89 (p=0.412) and further to 15.74±8.3, 17.41±10.45, and 16.76±9.81 (p=0.603), respectively at the last follow-up. Conclusion : ABM/P-15 appears to achieve union significantly earlier than rhBMP-2 and DBM in lumbar spinal fusion cases while maintaining a comparable clinical and complication profile.

Web-based Disaster Operating Picture to Support Decision-making (의사결정 지원을 위한 웹 기반 재난정보 표출 방안)

  • Kwon, Youngmok;Choi, Yoonjo;Jung, Hyuk;Song, Juil;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.725-735
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    • 2022
  • Currently, disasters occurring in Korea are characterized by unpredictability and complexity. Due to these features, property damage and human casualties are increasing. Since the initial response process of these disasters is directly related to the scale and the spread of damage, optimal decision-making is essential, and information of the site must be obtained through timely applicable sensors. However, it is difficult to make appropriate decisions because indiscriminate information is collected rather than necessary information in the currently operated Disaster and Safety Situation Office. In order to improve the current situation, this study proposed a framework that quickly collects various disaster image information, extracts information required to support decision-making, and utilizes it. To this end, a web-based display system and a smartphone application were proposed. Data were collected close to real time, and various analysis results were shared. Moreover, the capability of supporting decision-making was reviewed based on images of actual disaster sites acquired through CCTV, smartphones, and UAVs. In addition to the reviewed capability, it is expected that effective disaster management can be contributed if institutional mitigation of the acquisition and sharing of disaster-related data can be achieved together.

Composition of Visit-customized Movement Program Utilizing Care Workers for the Home-cared Elderly with Dementia (방문요양보호사를 활용한 재가 치매노인대상 방문 맞춤형 움직임 프로그램 구성요소)

  • Hong, Misung
    • 한국체육학회지인문사회과학편
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    • v.58 no.5
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    • pp.201-217
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    • 2019
  • The purpose of this study was to consider composition of the movement program for the elderly with dementia to develop visit-customized movement program. For the study, 20 experts were selected including 8 dance therapists, 2 dementia-specialized doctors, 5 physical education leaders of the elderly, and 5 geriatric care helpers. First Delphi data, which listed items, was used to analyze content. Second and third Delphi questionnaires, which evaluated importance in Likert scale, was used to calculate content validity rate, average, standard deviation, quartile, convergence degree, and concurrence degree of each composition. 46 core composition of movement program for the elderly, which were selected and highlighted by the experts, were departmentalized into 6 considered compositions of movement program. 7 required composition of movement program, 1 Appropriate frequency of 3 times in a week and 1 30 minutes for each exercise, 1 operation method, 5 appropriate exercise of rhythm expression, 4 appropriate aerobic exercise, 4 appropriate muscle exercises, 5 appropriate stretches, 3 appropriate partner exercises 4 Appropriate massages, 5 appropriate tools