• Title/Summary/Keyword: BNs-3

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Effect of BNs-3 and BNs-7, Extracts of Citrous Orange Peel, on the Obesity Induced by ad libitum Feeding a Cholesterol-Containing Diet in Rats (콜레스테롤 함유 식이 랫드에서 감귤껍질추출물 BNs-3 및 BNs-7의 항비만 효과)

  • Chai, Hee-Youl;Sin, Ji-Soon;Kwon, Woon;Choi, Ehn-Kyoung;Cho, Young-Min;Zhang, Hu-Song;Hwang, Seock-Yeon;Bok, Song-Hae;Kim, Yun-Bae;Kang, Jong-Koo
    • Toxicological Research
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    • v.19 no.3
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    • pp.189-195
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    • 2003
  • The protective effects of BNs-3 and BNs-7, extracts of citrous orange peel, on the obesity induced by ad libitum feeding a cholesterol-containing diet to rats were investigated. The animals were fed on the diet including cholesterol (0.5%) with or without the citrous orange peel extracts BNs-3 (5%) and/or BNs-7 (0.1%) for 8 weeks. The ad libitum feeding a diet containing cholesterol to rats from 6 weeks of age increased the body weight gain compared with that of rats fed on a normal diet. Such an increase in body weights was markedly attenuated by the addition of BNs-3 or BNs-7 to the diet. Especially, a combinational feeding on BNs-3 and BNs-7 significantly reduced the body weight gain below that of normal diet-fed animals. Interestingly, the weights of abdominal adipose tis-sues surrounding epididymides were greatly reduced by the citrous orange peel extracts, in parallel with the decrease in body weights. In addition, blood concentrations of lipids including cholesterol were also lowered by the combinational treatment with BNs-3 and BNs-7. Taken together, it is suggested that the obesity and overweight produced by unrestricted overfeeding on diet with cholesterol may be partially due to the accumulation of abdominal adipose tissues, around the epididymides in rats, and that citrous orange peel extracts might exert antiobese activities by reducing the adipose tis-sues as well as blood lipid concentrations.

The Study to Reorganize the Course of Basic Nursing Science in a College of Nursing (일 간호대학 기초간호과학 교과 개편에 관한 연구)

  • Yoo, Ji-Soo;Ahn, Jeong-Ah;Yeo, Ki-Sun;Chu, Sang-Hui
    • Journal of Korean Biological Nursing Science
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    • v.10 no.2
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    • pp.162-169
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    • 2008
  • Purpose: This study was conducted to reorganize the course of basic nursing science (BNS). Methods: The curriculums of 10 leading nursing colleges (domestic and abroad) were analyzed. And a survey was performed on 178 nursing students to identify the perceived level of knowledge, clinical application, the adequacy of class hours and further improvements for the course of BNS. Results: The various levels of credits and percentage were found in the curriculums of other nursing colleges (12-18 credits and 8.6, 13.6%, respectively). The perceived levels of knowledge, clinical application were directly proportional to the adequacy of class hours, and students suggested the increment of class hours and in-depth study. Based on these results, the course of BNS was reorganized as follows: 1) The course of BNS was divided into 2 courses (BNS 1, 2) and total credits were increased to 5 credits. 2) The BNS 1 course was focused on basic concepts to understand human anatomy and physiology. And BNS 2 consisted of detailed structures and functions of human body system. 3) 12 Quizzes were added. Conclusion: The efforts to reorganize the curriculum of BNS might strengthen nursing students' ability to understand nursing phenomena, help student with academic performance and clinical training.

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Efficacy and Safety of Udenafil Once Daily in Patients with Erectile Dysfunction after Bilateral Nerve-Sparing Robot-Assisted Laparoscopic Radical Prostatectomy: A Randomized, Double-Blind, Placebo-Controlled Study

  • Jae Hoon Chung;Tae Gyun Kwon;Cheol Kwak;Gyung Tak Sung;Soo Dong Kim;Jin Seon Cho;Hyung Jin Kim;Hanjong Ahn;Seong Soo Jeon
    • The World Journal of Men's Health
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    • v.41 no.3
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    • pp.612-622
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    • 2023
  • Purpose To evaluate the efficacy and safety of udenafil 75 mg once daily in patients with erectile dysfunction following bilateral nerve-sparing robot-assisted laparoscopic radical prostatectomy (BNS-RALP). Materials and Methods A multi-center, prospective, randomized, controlled, double-blind study was conducted. Among patients with localized prostate cancer with international index of erectile function-erectile function domain (IIEF-EF) score of 18 or higher before BNS-RALP, those who developed postoperative erectile dysfunction (IIEF-EF score 14 or less at 4 weeks after BNS-RALP) were enrolled. Enrolled patients were randomly assigned to the udenafil 75 mg daily group or the placebo group in a 2:1 ratio. Each subject was followed up at 8 weeks (V2), 20 weeks (V3), and 32 weeks (V4) to evaluate the efficacy and safety of udenafil. Results In all, 101 patients were screened, of whom 99 were enrolled. Of the 99 patients, 67 were assigned to the experimental group and 32 to the control group. Ten (14.93%) patients in the experimental group and 10 (31.25%) in the control group dropped out of the study. After 32 weeks of treatment, IIEF-EF score of 22 or higher was seen in 36.51% (23/63) of patients in the experimental group and 13.04% (3/23) patients in the control group (p=0.021). The proportion of patients with IIEF-EF improvement of 25% or more compared to the baseline was 82.54% (52/63) in the experimental group and 62.96% (17/27) in the control group (p=0.058). Conclusions Udenafil 75 mg once daily after BNS-RALP improved the erectile function without any severe adverse effects.

Assessment of Breast Cancer Risk in an Iranian Female Population Using Bayesian Networks with Varying Node Number

  • Rezaianzadeh, Abbas;Sepandi, Mojtaba;Rahimikazerooni, Salar
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.11
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    • pp.4913-4916
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    • 2016
  • Objective: As a source of information, medical data can feature hidden relationships. However, the high volume of datasets and complexity of decision-making in medicine introduce difficulties for analysis and interpretation and processing steps may be needed before the data can be used by clinicians in their work. This study focused on the use of Bayesian models with different numbers of nodes to aid clinicians in breast cancer risk estimation. Methods: Bayesian networks (BNs) with a retrospectively collected dataset including mammographic details, risk factor exposure, and clinical findings was assessed for prediction of the probability of breast cancer in individual patients. Area under the receiver-operating characteristic curve (AUC), accuracy, sensitivity, specificity, and positive and negative predictive values were used to evaluate discriminative performance. Result: A network incorporating selected features performed better (AUC = 0.94) than that incorporating all the features (AUC = 0.93). The results revealed no significant difference among 3 models regarding performance indices at the 5% significance level. Conclusion: BNs could effectively discriminate malignant from benign abnormalities and accurately predict the risk of breast cancer in individuals. Moreover, the overall performance of the 9-node BN was better, and due to the lower number of nodes it might be more readily be applied in clinical settings.

Evaluation of the genotoxicity and cytotoxicity in the buccal epithelial cells of patients undergoing orthodontic treatment with three light-cured bonding composites by using micronucleus testing

  • Toy, Ebubekir;Yuksel, Sengul;Ozturk, Firat;Karatas, Orhan Hakki;Yalcin, Muhammet
    • The korean journal of orthodontics
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    • v.44 no.3
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    • pp.128-135
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    • 2014
  • Objective: This study evaluated the cytotoxicity and genotoxicity of fixed orthodontic treatment with three different light-cured orthodontic bonding composites by analyzing micronucleus (MN) formation in the buccal mucosa during a 6-month period. Methods: Thirty healthy volunteers were selected from consecutive patients referred for orthodontic treatment. Equilibrium 2 brackets and molar tubes (Dentaurum) were bonded with three different lightcured orthodontic bonding composites-Transbond XT (3M Unitek), Kurasper F (Kuraray Europe), or GrenGloo (Ormco Corporation)- to all teeth in both arches. Exfoliated buccal epithelial cells were scraped from the middle part of the inner cheeks with sterile cement spatulas before treatment and at 1, 3, and 6 months after treatment. MNs and nuclear alterations, such as karyorrhexis (KR), karyolysis (KL), and binucleated cells (BNs), were scored under a light microscope. Repeated measure ANOVA was used to calculate statistical differences in degenerative nuclear abnormalities. Results: MN rates did not significantly differ among different time points within the same cell type (p > 0.05). In contrast, the number of BNs in buccal epithelial cells significantly increased in all composite groups (p < 0.01, Transbond XT; p < 0.001, Kurasper F and GrenGloo). KL frequency significantly increased between the beginning and end of the study in the Kurasfer F ($0.80{\pm}0.79$ to $1.90{\pm}1.10$; p < 0.05) and GrenGloo ($1.30{\pm}1.06$ to $2.40{\pm}1.08$; p < 0.05) groups. Conclusions: After 6 months of fixed orthodontic treatment with different light-cured composites, morphological signs of cytotoxicity were observed but genotoxic effects were absent.

Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning

  • Nurzhan Ussipov;Zeinulla Zhanabaev;Almat, Akhmetali;Marat Zaidyn;Dana Turlykozhayeva;Aigerim Akniyazova;Timur Namazbayev
    • Journal of Astronomy and Space Sciences
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    • v.41 no.3
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    • pp.149-158
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    • 2024
  • This study developed a machine learning-based methodology to classify gravitational wave (GW) signals from black hol-eneutron star (BH-NS) mergers by combining convolutional neural network (CNN) with conditional information for feature extraction. The model was trained and validated on a dataset of simulated GW signals injected to Gaussian noise to mimic real world signals. We considered all three types of merger: binary black hole (BBH), binary neutron star (BNS) and neutron starblack hole (NSBH). We achieved up to 96% correct classification of GW signals sources. Incorporating our novel conditional information approach improved classification accuracy by 10% compared to standard time series training. Additionally, to show the effectiveness of our method, we tested the model with real GW data from the Gravitational Wave Transient Catalog (GWTC-3) and successfully classified ~90% of signals. These results are an important step towards low-latency real-time GW detection.

A study on Kerberos Authentication and Key Exchange based on PKINIT (PKINIT기반의 Kerberos 인증과 키 교환에 관한 연구)

  • Sin, Gwang-Cheol;Jeong, Il-Yong;Jeong, Jin-Uk
    • The KIPS Transactions:PartC
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    • v.9C no.3
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    • pp.313-322
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    • 2002
  • In this paper, proposes Kerberos certification mechanism that improve certification service of PKINIT base that announce in IETF CAT Working Ggroup. Did to certificate other realm because search position of outside realm through DNS and apply X.509 directory certification system, acquire public key from DNS server by chain (CertPath) between realms by certification and Key exchange way that provide service between realms applying X.509, DS/BNS of PKINIT base. In order to provide regional services, Certification and key exchange between realms use Kerberos' symmetric method and Session connection used Directory service to connection X.509 is designed using an asymmetric method. Excluded random number ($K_{rand}$) generation and duplex encryption progress to confirm Client. A Design of Kerberos system that have effect and simplification of certification formality that reduce Overload on communication.