• Journal of Dental Anesthesia and Pain Medicine
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• 제22권1호
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• pp.29-37
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• 2022

Background: Pain, edema, and trismus are predictable sequelae for surgical extraction of impacted mandibular third molars (M3M). The present study aimed to compare the anti-phlogistic potential of bromelain and aceclofenac in the reduction of post-surgical sequalae in the extraction of impacted M3M. Method: A randomized controlled, triple-blinded clinical study included 72 patients scheduled for surgical removal of impacted M3M under local anesthesia. Randomization was performed and subjects were equally allocated to groups A (control) and B (study), who intended to receive aceclofenac and bromelain, respectively. The primary outcome variables were pain, edema, and trismus evaluated on postoperative days 2 and 7 and compared with baseline values. The secondary variables evaluated were the quantity of rescue analgesics required and the frequency of adverse effects in both groups for 7 postoperative (PO) days. Data were analyzed with a level of significance of P < 0.05. Results: Group B demonstrated a significant decrease in the severity of edema and trismus compared to group A on both PO days 2 and 7 (P < 0.001). Bromelain demonstrated similar analgesic efficacy with an insignificant difference compared to aceclofenac (P > 0.05). Conclusion: The present study showed that the efficacy of bromelain was comparable to that of aceclofenac in reducing inflammatory complications following surgical removal of impacted M3M. Bromelain can be considered a safe and potent alternative to routinely used aceclofenac when addressing inflammatory outcomes after surgery.

• 인간식물환경학회지
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• 제23권6호
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• pp.647-654
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• 2020

Background and objective: Particulate matter (PM) is one of the serious environmental problems and threatens human health. Plants can clean the air by removing PM from the atmosphere. This study was carried out to investigate the PM removal efficiency of 12 species of woody plants. Methods: Actinidia arguta, Dendropanax morbiferus, Fraxinus rhynchophylla, Parthenocissus tricuspidata, Pittosporum tobira, Rhaphiolepis indica, Rhapis, Salix integra, Salix koreensis, Schisandra chinensis, Viburnum odoratissimum var. awabuki, and Vitis coignetiae were used as plant material. Six 15 cm (D) pots were placed in an acrylic chamber of 800 (D) × 800 (W) × 1000 (H) mm. The LED panel was used as a light source. The reduction of PM10, PM2.5, and PM1 for 300 minutes after the injection of PM was automatically measured. Results: The leaf area and the amount of PM in the chamber showed a negative correlation. 12 species of plants were compared by dividing the plants into 3 groups according to their characteristics: vines, trees, and shrubs and small trees. In the vine plant group, the averages of PM10, PM2.5, and PM1 were 7.917%, 8.796%, and 30.275%, respectively. In the shrubs and small trees group, the average of PM10, PM2.5, and PM1 were 10.142%, 11.133%, and 36.448%, respectively. In the trees group, the average of PM10, PM2.5, and PM1 were 11.475%, 12.892%, and 40.421%, respectively. When the initial concentration was 100%, PM10, PM2.5, and PM1 of Viburnum odoratissimum var. awabuki with the largest leaf area were 5.6%, 6.3%, and 21.0% after 5 hours, respectively, the best results among 12 species of plants. Conclusion: The vine plant group was more effective in removing PM than the other two groups. In the tree groups, the fact that the leaf development was relatively inactive at a plant height of 30 cm was considered to have an effect on the removal of particulate matter.

• 공업화학
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• 제34권2호
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• pp.199-205
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• 2023

Arsenic is a highly toxic element, and its contamination is widespread around the world. The natural materials with high selectivity and efficiency toward pollutants are important in wastewater treatment technology. In this study, the mesoporous synthetic hectorite was synthesized by facile hydrothermal crystallization of gels comprising silica, magnesium hydroxide, and lithium fluoride. Additionally, the naturally available clay was modified using zirconium at room temperature. Both synthetic and modified natural clays were employed in the removal of arsenate from aquatic environments. The materials were fully characterized by scanning electron microscope (SEM), X-ray diffraction (XRD), and Fourier transform-infrared (FT-IR) analyses. The synthesized materials were used to remove arsenic (V) under varied physicochemical conditions. Both materials, i.e., Zr-bentonite and Zr-hectorite, showed high percentage removal of arsenic (V) at lower pH, and the efficiency decreased in an alkaline medium. The equilibrium-state sorption data agrees well with the Langmuir and Freundlich adsorption isotherms, and the maximum sorption capacity is found to be 4.608 and 2.207 mg/g for Zr-bentonite and Zr-hectorite, respectively. The kinetic data fits well with the pseudo-second order kinetic model. Furthermore, the effect of the background electrolytes study indicated that arsenic (V) is specifically sorbed at the surface of these two nanocomposites. This study demonstrated that zirconium intercalated synthetic hectorite as well as zirconium modified natural clays are effective and efficient materials for the selective removal of arsenic (V) from aqueous medium.

• 치위생과학회지
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• 제23권3호
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• pp.208-215
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• 2023

Background: Dental caries in preschool children can cause early loss of teeth, reduced masticatory function, malocclusion, and speech disorders, making oral care for preschool children essential. However, because children have a poor ability to perform oral hygiene by themselves, educational tools that help establish correct oral health behaviors are required. This study evaluated the effect of toothbrushing application for kids on dental plaque removal and toothbrushing interest in preschool children. Methods: Seven 5-year-old children enrolled in a daycare center participated in the evaluation, and the same children participated in the experiment twice a week. The Pokémon Smile application (App) was used as an auxiliary application for tooth brushing, and the degree of dental plaque removal on the tooth surface was evaluated by quantitative light-induced fluorescence-digital imaging. After the experiment, children's toothbrushing preferences were investigated through interviews. Results: The levels of AREA R30 and AREA R70 measured after the children's toothbrushing as usual decreased compared to those before toothbrushing; however, the change was not significant. The levels of AREA R30 and AREA R70 measured after using the Pokémon Smile App were significantly reduced compared to those before toothbrushing. Children's interest in brushing their teeth increased by 28.59% after using the Pokémon Smile App. Conclusion: The toothbrushing application for kids effectively removes dental plaque by helping preschool children brush their teeth. It also increased preschool children's interest in tooth brushing. Therefore, an oral health education application would be useful for children who need to develop correct oral care methods and habits.

• Archives of Plastic Surgery
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• 제51권1호
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• pp.36-41
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• 2024

Background Among breast reconstruction methods, implant-based breast reconstruction has become the mainstream. However, periprosthetic infection is still an unresolved problem. Although published articles have revealed that limited use of antibiotics is sufficient to reduce infection rates, the number of surgeons still preferring elongated usage of antibiotics is not less. The aim of our study is to validate the appropriate duration of antibiotic use to reduce infection rate after implant-based breast reconstruction. Methods A retrospective study reviewed medical record of 235 patients (274 implants for reconstruction) who underwent prepectoral direct to implant breast reconstruction using acellular dermal matrix wrapping technique. Infection rates were analyzed for the patients administered postoperative prophylactic antibiotics until drain removal and those who received only perioperative prophylactic antibiotics for 24 hours. Results Of the 274 implants, 98 who were administered prophylactic antibiotics until drain removal had an infection rate of 3.06% (three implants) and 176 who received prophylactic antibiotics no longer than 24 hours postoperatively had an infection rate of 4.49% (eight implants). A total of 11 patients diagnosed with postoperative infection clinically, 8 were salvaged by antibiotic treatment, and 3 had implant removal and replacement with autologous flap. Postoperative antibiotic prophylaxis duration had no statistically significant effects in the risk of infection (p = 0.549). Conclusion The duration of prophylactic antibiotics after surgery was not related to infection risk. Further study with a large number of patients, randomized control study, and route of antibiotics is needed.

• Environmental Engineering Research
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• 제23권2호
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• pp.129-135
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• 2018

The aim of this study is to assess the applicability of ferrate(VI) in the efficient treatment of aqueous waste contaminated with potassium hydrogen phthalate (KHP) which is known to be a potent endocrine disrupting chemicals. Simulated batch reactor operations were conducted at a wide range of pH (7.0 to 12.0) and molar ratios of KHP to ferrate(VI). Kinetic studies were performed in the degradation process and overall rate constant was found to be 83.40 L/mol/min at pH 8.0. The stoichiometry of ferrate(VI) and KHP was found to be 1:1. Further, lower pH values and higher KHP concentrations were favoured greatly the degradation of KHP by ferrate(VI). Total organic carbon analysis showed that partial mineralization of KHP was achieved. The presence of several background electrolytes were studied in the degradation of KHP by ferrate(VI).

• 한국컴퓨터정보학회논문지
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• 제24권1호
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• pp.9-23
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• 2019

In this paper, we propose a layer structure of a pest image classifier model using CNN (Convolutional Neural Network) and background removal image processing algorithm for improving classification accuracy in order to build a smart monitoring system for pine wilt pest control. In this study, we have constructed and trained a CNN classifier model by collecting image data of pine wilt pest mediators, and experimented to verify the classification accuracy of the model and the effect of the proposed classification algorithm. Experimental results showed that the proposed method successfully detected and preprocessed the region of the object accurately for all the test images, resulting in showing classification accuracy of about 98.91%. This study shows that the layer structure of the proposed CNN classifier model classified the targeted pest image effectively in various environments. In the field test using the Smart Trap for capturing the pine wilt pest mediators, the proposed classification algorithm is effective in the real environment, showing a classification accuracy of 88.25%, which is improved by about 8.12% according to whether the image cropping preprocessing is performed. Ultimately, we will proceed with procedures to apply the techniques and verify the functionality to field tests on various sites.

• Journal of Microbiology and Biotechnology
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• 제15권4호
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• pp.780-786
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• 2005

The biomass of the brown seaweed, Ecklonia, was used to remove Cr(VI) from wastewater. Previously, Cr(VI) was removed through its reduction to Cr(III) when brought into contact with the biomass. In this study, the effects of ionic strength, background electrolytes, and Cr(III), Ni(II), Zn(II), and Fe(III) on the Cr(VI) reduction were examined. An increased ionic strength inhibited the Cr(VI) reduction. The presence of other heavy metals, such as Cr(III), Ni(II), or Zn(II), only slightly affected the Cr(VI) reduction, while Fe(III) enhanced the reduction. Although the above various parameters could affect the reduction rate of Cr(VI) by Ecklonia biomass, these effects were relatively smaller than those of pH and temperature. In addition, the previously derived rate equation was found to be applicable over a range of ionic strengths and with different background electrolytes. In conclusion, Ecklonia, bioniass may be a good candidate as a biosorbent for the removal of Cr(VI) from wastewaters containing various other impurities, and scale-up to a practical process may be accomplished using the previously derived rate equation.

• 융합신호처리학회논문지
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• 제20권3호
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• pp.159-164
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• 2019

영상정보에서 색상만을 이용하여 산불을 감지하는 것은 매우 어려운 이슈이다. 본 논문은 산불을 포함하고 있는 동영상에서 영역의 색상과 움직임을 분석하여 산불영역을 감지하는 알고리즘을 제안한다. 제안하는 알고리즘에서는 조명 상태에 의존하지 않고 배경 영역을 추출 가능한 가우시안 믹스쳐 기반의 배경 분할 알고리즘을 이용하여 제거한다. 또한 RGB채널을 HSV채널로 변경하여 색상 기반으로 화염 후보들을 추출한다. 그렇게 추출된 화염후보들은 라벨링 및 트래킹을 하면서 면적이 일정하면서 이동하면 화염이 아니라고 판단한다. 이런 방법으로 추출된 화염후보 영역들이 2분 이상 같은 위치에 있으면 화염으로 판단한다. 구현된 알고리즘을 이용하여 실험한 결과 그 유효성을 확인하였다.

• 한국멀티미디어학회논문지
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• 제14권5호
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• pp.607-613
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• 2011

본 논문에서는 조명과 배경에 강인한 동적임계값을 이용한 손 영상 분할방법을 제안한다. 먼저 시간단위 입력 차영상을 구하여 움직이는 물체에 대한 손의 실루엣을 추출한다 그 후, 추출된 손 실루엣에 해당하는 영상의 R,G,B 히스토그램 분석을 통하여 R,G,B 각각에 대한 임계구간을 동적으로 구한다. 마지막으로 획득된 동적 임계값을 이용하여 영상에서 손영역을 분할한 다음 모폴로지, 연결요소 분석, 플러드필 연산을 이용한 잡음 제거를 수행한다. 실험 결과 본 논문에서 제시하는 기법은 기존의 비전 기술을 통한 손 인식 기법들과 비교하여 별도의 고정임계값을 두지 않고 실행시간에 정확한 임계값을 추출 할 수 있으며, 다양한 배경과 조명에 대해서도 정확하게 손을 분할할 수 있다. 본 연구에서 제안한 기법은 혼합 현실 응용을 위한 사용자 인터페이스로 사용될 수 있다.