• Title/Summary/Keyword: AI frequency

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BRCA1 Promoter Hypermethylation Signature for Early Detection of Breast Cancer in the Vietnamese Population

  • Truong, Phuong Kim;Lao, Thuan Duc;Doan, Thao Phuong Thi;Huyen, Thuy Ai
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.9607-9610
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    • 2014
  • Breast cancer, a leading cause of death among women in most countries worldwide, is rapidly increasing in incidence in Vietnam. One of biomarkers is the disruption of the genetic material including epigenetic changes like DNA methylation. With the aim of finding hypermethylation at CpG islands of promoter of BRCA1 gene, belonged to the tumor suppressor gene family, as the biomarker for breast cancer in Vietnamese population, sensitive methyl specific PCR (MSP) was carried out on 115 samples including 95 breast cancer specimens and 20 normal breast tissues with other diseases which were obtained from Ho Chi Minh City Medical Hospital, Vietnam. The result indicated that the frequency of BRCA1 hypermethylation reached 82.1% in the cases (p<0.001). In addition, the DNA hypermethylation of this candidate gene increased the possibility to be breast cancer with high incidence via calculated odd ratios (p<0.05). In conclusion, hypermethylation of this candidate gene could be used as the promising biomarker application with Vietnamese breast cancer patients.

Antinociceptive, antidiarrhoeal and cytotoxic activity of Aegiceras corniculatum

  • Ahmed, F;Mamun, AH AI;Shahid, IZ;Rahman, AA;Sadhu, SK
    • Advances in Traditional Medicine
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    • v.7 no.2
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    • pp.191-196
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    • 2007
  • The ethanol extract of leaves of the mangrove Aegiceras corniculatum Blanco (Myrsinaceae) was screened for its antinociceptive, antidiarrhoeal and cytotoxic activities. The extract produced significant writhing inhibition in acetic acid-induced writhing in mice at the oral dose of 250 and 500 mg/kg body weight (P < 0.001), which was comparable to the standard drug diclofenac sodium at the dose of 25 mg/kg of body weight. When tested for its antidiarrhoeal effects on castor oil induced diarrhoea in mice, it increased mean latent period and decreased the frequency of defecation significantly at the oral dose of 500 mg/kg body weight (P<0.05; P<0.01) comparable to the standard drug loperamide at the dose of 50 mg/kg of body weight. Moreover, when tested for toxicity using brine shrimp, the extract showed potent activity against the brine shrimp Artemia salina ($LC_{50}$ 10 mg/ml). The overall results tend to suggest the antinociceptive, antidiarrhoeal and cytotoxic activities of the extract.

Statistical Life Prediction of Fatigue Crack Growth for SiC Whisker Reinforced Aluminium Composite (SiC 휘스커 보강 Al6061 복합재료의 통계학적 피로균열진전 수명예측)

  • 권재도;안정주;김상태
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.2
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    • pp.475-485
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    • 1995
  • In this study, statistical analysis of fatigue data which had obtained from respective 24 fatigue crack, was examined for SiC whisker reinforced aluminium 6061 composite alloy (SiC$_{w}$/A16061) and aluminium 6061 alloy. SiC volume fraction in composite alloy is 25%. The analysis results stress intensity factor range and 0.1 mm fatigue crack initiation life for SiC$_{w}$/A16061 composite & A16061 matrix are the log-normal distribution. And regression analysis by linear model, exponential model and multiplicative model were performed to find out the relationship between fatigue crack growth rate(da/dN) and stress intensity for find out the relationship between fatigue crack growth rate(da/dN) and stress intensity factor range(.DELTA.K) in the SiC$_{w}$/A16061 composite and examine the applicability of Paris' equation to SiC$_{w}$A16061 composite. Also computer simulation was performed for fatigue life prediction of SiC$_{w}$/A16061 composite using the statistical results of this study.udy.

Research of intelligent rhythm service of edutainment humanoid robot (에듀테인먼트 휴머노이드 로봇의 지능적인 율동 서비스 연구)

  • Yoon, Taebok;Na, Eunsuk
    • Journal of Korea Game Society
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    • v.18 no.4
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    • pp.75-82
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    • 2018
  • With the development of information and communication technology, various methods have been tried to provide learners with a fun educational environment through fun and interest. It is a good example to utilize technologies such as games and robots in education for edutainment and game-based learning. In this study, we propose an intelligent rhythm education system using user data collection and analysis for humanoid robot rhythm generation. To do this, the user selects music and inputs rhythm information according to the selected music. The robot utilization data of this user extracts patterns through collection and analysis. Patterns are based on frequency, and FFT similarity comparison method is applied when past data is insufficient. The proposed method is validated through experiments of kindergarten children.

A Novel High Step-Up Converter with a Switched-Coupled-Inductor-Capacitor Structure for Sustainable Energy Systems

  • Liu, Hongchen;Ai, Jian;Li, Fei
    • Journal of Power Electronics
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    • v.16 no.2
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    • pp.436-446
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    • 2016
  • A novel step-up DC-DC converter with a switched-coupled-inductor-capacitor (SCIC) which successfully integrates three-winding coupled inductors and switched-capacitor techniques is proposed in this paper. The primary side of the coupled inductors for the SCIC is charged by the input source, and the capacitors are charged in parallel and discharged in series by the secondary windings of the coupled inductor to achieve a high step-up voltage gain with an appropriate duty ratio. In addition, the passive lossless clamped circuits recycle the leakage energy and reduce the voltage stress on the main switch effectively, and the reverse-recovery problem of the diodes is alleviated by the leakage inductor. Thus, the efficiency can be improved. The operating principle and steady-state analyses of the converter are discussed in detail. Finally, a prototype circuit at a 50 kHz switching frequency with a 20-V input voltage, a 200-V output voltage, and a 200-W output power is built in the laboratory to verify the performance of the proposed converter.

Exploratory Study on Customer-Oriented Service Contact Elements in Foodservice Industry (푸드서비스산업에서 고객지향적인 서비스 컨택요소의 탐색적 연구)

  • Han, Myung Ai;Chong, Yu Kyeong
    • Journal of the Korean Dietetic Association
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    • v.21 no.1
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    • pp.72-82
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    • 2015
  • The purpose of this study was to provide preliminary data for competitive dominance in an institutional foodservice environment. Data were collected from 85 experts and practitioners on customer-oriented service contact elements and contact fields in the foodservice industry. PASW Statistics ver.18 and MS Excel were used for data analysis. From the pilot study, 67 service contact-elements were derived. Contribution rate analysis and frequency analysis in each contact field were performed in order to categorize four factors, including environment-oriented contact, product-oriented contact, service-oriented contact, and image-oriented contact fields. Thirty three contact elements were derived, and environment-oriented contact consisted of eight contact-elements (cleanliness of restaurant/kitchen, etc.), product-oriented contact consisted of twelve contact-elements (food taste, etc.), service-oriented contact consisted of seven contact-elements (service quality, etc.), and image-oriented contact consisted of six contact-elements (image/reputation, etc.). The results of study will be useful to develop an effective marketing program for competitive dominance in an competitive foodservice industry environment.

Factors Influencing Job Satisfaction of Dietitians(Nutrition Teachers) of School Foodservice in Daejeon/Chungnam Province (대전.충남지역 학교급식 영양(교)사의 직무만족도에 영향을 미치는 요인)

  • Shin, Wang-Mi;Han, Jang-Il;Kim, Seong-Ai
    • Korean Journal of Community Nutrition
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    • v.14 no.6
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    • pp.798-806
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    • 2009
  • The objective of this study was to investigate how to improve job satisfaction for dietitians and nutrition teachers by identifying influencing factors in Daejeon and Chungnam Province, South Korea. A survey was conducted among school foodservice dietitians and nutrition teachers from selected primary, middle and high school in the area. This survey consisted of general characteristics, status of their job, job satisfaction, work satisfaction and work performance. In this study we found current state of general characteristics and status of their job according to frequency analysis and the level of work satisfaction, work performance and job satisfaction using descriptive statistics. The t-test, ANOVA and Duncan-test were also conducted in order to searching for tendency of job satisfaction according to the general characteristics and the status of their job. Pearson's correlation was carried out in order to find correlation with job satisfaction. Also, factors, which influenced job satisfaction according to regression analysis, were drawn. We describe the difference of job satisfaction between irregular dietitians and nutrition teachers as well. Besides we discussed the improvement of dietitians' (nutrition teachers') work environment to raise their job satisfaction through this study.

Explainable Machine Learning Based a Packed Red Blood Cell Transfusion Prediction and Evaluation for Major Internal Medical Condition

  • Lee, Seongbin;Lee, Seunghee;Chang, Duhyeuk;Song, Mi-Hwa;Kim, Jong-Yeup;Lee, Suehyun
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.302-310
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    • 2022
  • Efficient use of limited blood products is becoming very important in terms of socioeconomic status and patient recovery. To predict the appropriateness of patient-specific transfusions for the intensive care unit (ICU) patients who require real-time monitoring, we evaluated a model to predict the possibility of transfusion dynamically by using the Medical Information Mart for Intensive Care III (MIMIC-III), an ICU admission record at Harvard Medical School. In this study, we developed an explainable machine learning to predict the possibility of red blood cell transfusion for major medical diseases in the ICU. Target disease groups that received packed red blood cell transfusions at high frequency were selected and 16,222 patients were finally extracted. The prediction model achieved an area under the ROC curve of 0.9070 and an F1-score of 0.8166 (LightGBM). To explain the performance of the machine learning model, feature importance analysis and a partial dependence plot were used. The results of our study can be used as basic data for recommendations related to the adequacy of blood transfusions and are expected to ultimately contribute to the recovery of patients and prevention of excessive consumption of blood products.

Development of AI oxygen temperature measurement technology using hyperspectral optical visualization technology (초분광 광학가시화 기술을 활용한 인공지능 산소온도 측정기술 개발)

  • Jeong Hun Lee;Bo Ra Kim;Seung Hun Lee;Joon Sik Kim;Min Yoon;Gyeong Rae Cho
    • Journal of the Korean Society of Visualization
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    • v.21 no.1
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    • pp.103-109
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    • 2023
  • This research developed a measurement technique that can measure the oxygen temperature inside a high temperature furnace. Instead of measuring only changes in frequency components within a small range used in the existing variable laser absorption spectroscopy, laser spectroscopy technology was used to spread out wavelength of the light source passing through the gas Based on a total of 20,000 image data, research was conducted to predict the temperature of a high-temperature furnace using CNN with black and white images in the form of spectral bands by temperature of 25 to 800 degrees. The optimal model was found through Hyper parameter optimization, R2 score is 0.89, and the accuracy of the test data is 88.73%. Based on this research, it is expected that concentration measurement and air-fuel ratio control technology can be applied.

Information Distribution of Sport Social Networking Sites: Their Use in Promoting Psychological Well-Being

  • Seung Hwan PARK;Min Soo KIM;Miok KIM;Seungmin LEE;Taeyeon OH;Sun Ju KIM;Won Jae SEO
    • Journal of Distribution Science
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    • v.22 no.3
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    • pp.83-92
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    • 2024
  • Purpose: With the rapid information distribution of sport-related SNS, sport industry has utilized SNS as technical solution to distribute sport and health-related information. The current study examined the effect of SNS information use for running-specific content on running engagement and psychological well-being. Research design, data and methodology: Data were collected via online survey of participants in marathon events of United States. Descriptive statistics and Chi-square test were conducted to compare demographics and psycho-behavioral outcomes among SNS information users and non-users for running-specific contents. Multivariate hierarchical regression was next employed to examine research hypotheses. Results: A mass-participant running event was used to test seven hypotheses related to the potential role of SNS for running content in promoting running engagement and life satisfaction. In general, findings revealed that use of SNS for running content along with frequency of use can perhaps facilitate running intensity and influence participation in running-related outdoor activities. Furthermore, while overall life satisfaction did not appear to be influenced by use of SNS for running content, there was a demonstrated influence on the individual satisfaction domains. Conclusions: The findings of current study suggest that sport SNS is information distribution media enhancing users' engagement and their six life satisfaction domains. Further implications were discussed.