• Title/Summary/Keyword: Non-extraction

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Changes in the Antioxidant Potential of Persimmon Peel Extracts Prepared by Different Extraction Methods (고종시 감껍질의 추출조건에 따른 항산화 활성)

  • Jeong, Myeong Jin;Jin, Soon Woo;Hwa, Sung Yong;Bang, Hee Ok;Han, Dong Moon;Jeon, Ji Yeong;Hwa, Se Kyung
    • Korean Journal of Medicinal Crop Science
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    • v.27 no.3
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    • pp.186-193
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    • 2019
  • Background: Astringent persimmon (Diospyros kaki Thunb. cv. Kojongsi) peels are by-products of dried persimmons. This study aimed to evaluate the antioxidant activities of Kojongsi persimmon peel (KPP) extracts prepared by 15 different extraction methods: 5 heating durations (0.5 - 2.5 h) at 3 heating temperatures (50, 70, and $90^{\circ}C$). Methods and Results: An increase in heating temperature increased the antioxidant effect of KPP extracts. Those prepared by heating at 1 h had the highest total phenol content, regardless of the heating temperature. In addition, the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity and cell-protective effects against $H_2O_2-induced$ oxidative stress were dependent on the total phenol contents of the extract. However, the KPP-induced increased in catalase expression was dependent on heating temperature and duration. Conclusions: These results suggest that extraction by heating at $90^{\circ}C$ for 1 h may enhance KPP's antioxidant effects, which mainly involve non-enzymatic antioxidant systems.

Non-inferiority study of the efficacy of two hyaluronic acid products in post-extraction sockets of impacted third molars

  • Yang, Hyunwoo;Kim, Junghun;Kim, Jihong;Kim, Dongwook;Kim, Hyung Jun
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.42
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    • pp.40.1-40.5
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    • 2020
  • Background: Hyaluronic acid (HA) is well known to exert an anti-inflammatory effect during oral wound healing and is commonly applied after tooth extraction. However, no double-blind randomized controlled study comparing two hyaluronate mouthwash products has been conducted so far. The aim of this study was to comparatively analyze the efficacy of Mucobarrier® and Aloclair® in terms of clinical symptoms. Results: A total of 112 patients were randomly assigned to assess the degree of discomfort, pain reduction, redness, burning sensation, and swelling between two groups on the day of surgery and 7 days later in a double blind test, with a total 56 Aloclair patients and 56 Mucobarrier patients. There was no statistically significant difference in the overall discomfort, degree of pain reduction, redness, burning sensation, and swelling between the Mucobarrier and Aloclair groups. Conclusion: The local application of hyaluronic acid mouth wash after wisdom tooth extraction is beneficial in reducing overall discomfort and pain reduction, and the clinical utility of Mucobarrier® is no different from Aloclair®. Trial registration: Institutional Review Board of Yonsei University College of Dentistry, 2-2018-0036. Registered 10 September 2018-prospectively registered, https://eirb.yuhs.ac/

Estimation of Automatic Video Captioning in Real Applications using Machine Learning Techniques and Convolutional Neural Network

  • Vaishnavi, J;Narmatha, V
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.316-326
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    • 2022
  • The prompt development in the field of video is the outbreak of online services which replaces the television media within a shorter period in gaining popularity. The online videos are encouraged more in use due to the captions displayed along with the scenes for better understandability. Not only entertainment media but other marketing companies and organizations are utilizing videos along with captions for their product promotions. The need for captions is enabled for its usage in many ways for hearing impaired and non-native people. Research is continued in an automatic display of the appropriate messages for the videos uploaded in shows, movies, educational videos, online classes, websites, etc. This paper focuses on two concerns namely the first part dealing with the machine learning method for preprocessing the videos into frames and resizing, the resized frames are classified into multiple actions after feature extraction. For the feature extraction statistical method, GLCM and Hu moments are used. The second part deals with the deep learning method where the CNN architecture is used to acquire the results. Finally both the results are compared to find the best accuracy where CNN proves to give top accuracy of 96.10% in classification.

Hiding Sensitive Frequent Itemsets by a Border-Based Approach

  • Sun, Xingzhi;Yu, Philip S.
    • Journal of Computing Science and Engineering
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    • v.1 no.1
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    • pp.74-94
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    • 2007
  • Nowadays, sharing data among organizations is often required during the business collaboration. Data mining technology has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address this privacy issue, one may sanitize the original database so that the sensitive knowledge is hidden. The challenge is to minimize the side effect on the quality of the sanitized database so that non-sensitive knowledge can still be mined. In this paper, we study such a problem in the context of hiding sensitive frequent itemsets by judiciously modifying the transactions in the database. Unlike previous work, we consider the quality of the sanitized database especially on preserving the non-sensitive frequent itemsets. To preserve the non-sensitive frequent itemsets, we propose a border-based approach to efficiently evaluate the impact of any modification to the database during the hiding process. The quality of database can be well maintained by greedily selecting the modifications with minimal side effect. Experiments results are also reported to show the effectiveness of the proposed approach.

Enhanced SIFT Descriptor Based on Modified Discrete Gaussian-Hermite Moment

  • Kang, Tae-Koo;Zhang, Huazhen;Kim, Dong W.;Park, Gwi-Tae
    • ETRI Journal
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    • v.34 no.4
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    • pp.572-582
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    • 2012
  • The discrete Gaussian-Hermite moment (DGHM) is a global feature representation method that can be applied to square images. We propose a modified DGHM (MDGHM) method and an MDGHM-based scale-invariant feature transform (MDGHM-SIFT) descriptor. In the MDGHM, we devise a movable mask to represent the local features of a non-square image. The complete set of non-square image features are then represented by the summation of all MDGHMs. We also propose to apply an accumulated MDGHM using multi-order derivatives to obtain distinguishable feature information in the third stage of the SIFT. Finally, we calculate an MDGHM-based magnitude and an MDGHM-based orientation using the accumulated MDGHM. We carry out experiments using the proposed method with six kinds of deformations. The results show that the proposed method can be applied to non-square images without any image truncation and that it significantly outperforms the matching accuracy of other SIFT algorithms.

Survey Effects of Oil Income on Nonoil Export and Effort for Decline in Dependence to Oil Income

  • Varahrami, Vida
    • East Asian Journal of Business Economics (EAJBE)
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    • v.4 no.4
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    • pp.21-23
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    • 2016
  • There are so much oil and gas reserves in Iran. Therefore extraction from these reserves and sell extracted oil and gas in international markets causes to high oil income for Iran. Especially in some years which oil price increases, our oil income was too high. In this paper, we want to reveal that, high oil income is not cause to rise of nonoil export. For this aim, we use from data of 1971-2013 and with Johansen co-integration test and Error Correction Model (ECM) extract short run and long run relations. Results of estimation reveal that in Iran high oil income is not cause to many non oil exports in long run and short run. Therefore, we should allocate oil income to import industrial machines and reallocate them to agriculture and industrial sectors which causes to raise national production which will cause to high non oil export. Then, in this condition, our needy exchanges are provided from non oil export and our dependence to oil income will be declined.

Clustering Effects in Sparse NMF(Non-negative Matrix Factorization) (Sparse NMF에 의한 클러스터링)

  • Oh, Sang-Hoon
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.92-95
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    • 2008
  • NMF(Non-negative Matrix Factorization) has been proposed as an useful algorithm for feature extraction. Using NMF, we can extract low-dimensional feature vectors. Also, we can find clustering effects in the NMF algorithm. Also, it is reported that the sparse NMF algorithm shows better clustering effects. This paper compares the two approaches in the viewpoint of clustering effects.

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Feature Extraction of Non-proliferative Diabetic Retinopathy Using Faster R-CNN and Automatic Severity Classification System Using Random Forest Method

  • Jung, Younghoon;Kim, Daewon
    • Journal of Information Processing Systems
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    • v.18 no.5
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    • pp.599-613
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    • 2022
  • Non-proliferative diabetic retinopathy is a representative complication of diabetic patients and is known to be a major cause of impaired vision and blindness. There has been ongoing research on automatic detection of diabetic retinopathy, however, there is also a growing need for research on an automatic severity classification system. This study proposes an automatic detection system for pathological symptoms of diabetic retinopathy such as microaneurysms, retinal hemorrhage, and hard exudate by applying the Faster R-CNN technique. An automatic severity classification system was devised by training and testing a Random Forest classifier based on the data obtained through preprocessing of detected features. An experiment of classifying 228 test fundus images with the proposed classification system showed 97.8% accuracy.

Two new relationships for slip velocity and characteristic velocity in a non-center rotating column

  • Torkaman, Rezvan;Heydari, Mehran;Cheshmeh, Javad Najafi;Heydari, Ali;Asadollahzadeh, Mehdi
    • Nuclear Engineering and Technology
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    • v.54 no.8
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    • pp.2809-2818
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    • 2022
  • In this investigation work, liquid-liquid extraction (L.L.E) through three distinctive frameworks have been examined for assurance of slip velocity (S.V), and characteristic velocity (C.V) in a non-center rotating column (N.C.R.C) with a wide extend of factors. Three double frameworks with distinctive interfacial tension comprising of toluene-water (high interfacial tension), n-butyl acetate-water (medium interfacial tension), and n-butanol-water (low interfacial tension) were investigated for tests. Two common relationships for the expectation of S.V and C.V, including phase stream rates, rotor speed, column geometry additionally physical properties, are displayed. The recommended relationships were compared with test information gotten from the writing and the display examination. Findings of this study, the present proposed correlations are more accurate than those previously reported.

Hot Water Extraction of Crude Chondroitin Sulfate from Shark Cartilage Treated with Ozone Water (오존수로 세척한 상어연골로부터 Crude Chondroitin Sulfate의 열수추출)

  • Jung, Yoo-Kyung;Shin, Kyung-Ok;Shin, Jong-Wook;No, Hong-Kyoon;Kim, Soon-Dong
    • Journal of Marine Bioscience and Biotechnology
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    • v.2 no.3
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    • pp.149-154
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    • 2007
  • This study was conducted to investigate the effect of ozone treatment on removal of brown color and ammonia-like odor produced from shark cartilage (SC) and to establish the optimal extraction conditions of chondroitin sulfate (CS) by NaOH and hot water. Treatment of SC with 0.3 ppm ozone water resulted in higher color $L^*$ value but lower $a^*$ and $b^*$ values compared with those of non-treated SC, without affecting its proximate compositions (moisture, protein, lipid, carbohydrate, and ash). Ozone treatment also increased the overall acceptability of SC by reducing ammonia-like odor. The optimum concentration and time for extraction of CS from SC using NaOH at $100^{\circ}C$ were 1 N and 120 min, respectively, with 10.02% of extraction yield. The total yield (10.01%) of CS obtained by 7 times repeated extraction with hot water at $100^{\circ}C$ was comparable to that of the 1 N NaOH extraction for 120 min at $100^{\circ}C$.

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