• Title/Summary/Keyword: predictive distribution

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Trouble prediction of Thyristor Rectifiers by the method of heat distribution survey (열분포측정에 의한 정류회로 고장예측)

  • Park, Ho-Cheul
    • Proceedings of the KIEE Conference
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    • 1993.07b
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    • pp.818-820
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    • 1993
  • In the three phase full-wave thyristor rectifier, heat radiation concentrated at a few thyristor(s), while equipment's output is normal. That is very important on the predictive maintenance or checking including replacement of parts(or modules). Therefore, this report explains the method of effective diagnosis and the reason that firing control modules have to be adjusted accuratly on each phase.

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Ka Band Rain Attenuation Analysis of Domestic Regional Rainfall-Rate Distribution by Crane Prediction Model (Crane 예측 모델을 활용하여 국내 지역별 강우강도 분포에 따른 Ka대역 강우감쇠 분석)

  • Cho, Yongwan
    • Journal of Satellite, Information and Communications
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    • v.11 no.3
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    • pp.110-113
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    • 2016
  • In this paper of ka band satellite communication using geostationary satellite is very weak to rainfall. So the rain attenuation reflect the values calculated using the satellite communication links vulnerable when designing a more reliable rainfall area distribution of rain attenuation and accurate predictive models must analyze the link budget. In this paper, by utilizing domestic distribution analysis in the recent local rainfall Crane and regional rainfall in the model and compared with the country of the regional distribution of rainfall in your area to fit the rain attenuation in Ka band frequency characteristics Crane rain attenuation prediction models were analyzed to between geostationary satellites and ground station position, distance and year time percentage(%).

Effects of Body Fat Distribution on Percentage of Body Fat, Serum Insulin, Lipids and Energy Intake in Adult Female (체지방의 분포형태의 차이가 체지방 함량, 혈청 인슐린과 지질농도, 식사행동, 섭취열량에 미치는 영향)

  • 윤진숙
    • Journal of Nutrition and Health
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    • v.25 no.7
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    • pp.617-627
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    • 1992
  • This study was attempted to observe the possibility of body fat distribution and fasting serum insulin as potential predictive factors for obesity and energy intake. Subjects participated in this study were seventeen pairs of upper body type women and lower body type women whose age weight BMI daily energy expenditure per body weight were equally matched, Waist to hip girth ratio(WHR) was measured as a criteria of body fat distribution. Comparison of eating behavior between upper body type and lower body type women did not show any significant differences in meal size meal duration and energy intake per minute While serum free fatty acid level was lower in upper body type women percentage of body fat and fasting serum insulin triglycerde level of upper body type women were statistically higher than those of lower body type women(p<0.05) Our data may indicate the possibility that sympathetic nervous system activity was suppressed in upper body type women which needs ti be examined in future studies. In addition since the upper body type women were dieting over the period of survey with the intention of weigh loss we can conclude that upper body type women had larger variabilities than lower body type women in terms of daily energy intake level.

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Factors influencing the spatial distribution of soil organic carbon storage in South Korea

  • May Thi Tuyet Do;Min Ho Yeon;Young Hun Kim;Gi Ha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.167-167
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    • 2023
  • Soil organic carbon (SOC) is a critical component of soil health and is crucial in mitigating climate change by sequestering carbon from the atmosphere. Accurate estimation of SOC storage is essential for understanding SOC dynamics and developing effective soil management strategies. This study aimed to investigate the factors influencing the spatial distribution of SOC storage in South Korea, using bulk density (BD) prediction to estimate SOC stock. The study utilized data from 393 soil series collected from various land uses across South Korea established by Korea Rural Development Administration from 1968-1999. The samples were analyzed for soil properties such as soil texture, pH, and BD, and SOC stock was estimated using a predictive model based on BD. The average SOC stock in South Korea at 30 cm topsoil was 49.1 Mg/ha. The study results revealed that soil texture and land use were the most significant factors influencing the spatial distribution of SOC storage in South Korea. Forested areas had significantly higher SOC storage than other land use types. Climate variables such as temperature and precipitation had a relative influence on SOC storage. The findings of this study provide valuable insights into the factors influencing the spatial distribution of SOC storage in South Korea.

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The Development of Predictive Growth Models for Total Viable Cells and Escherichia coli on Chicken Breast as a Function of Temperature

  • Heo, Chan;Kim, Ji-Hyun;Kim, Hyoun-Wook;Lee, Joo-Yeon;Hong, Wan-Soo;Kim, Cheon-Jei;Paik, Hyun-Dong
    • Food Science of Animal Resources
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    • v.30 no.1
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    • pp.49-54
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    • 2010
  • The aim of this research was to estimate the effect of temperature and develop predictive models for the growth of total viable cells (TVC) and Escherichia coli (EC) on chicken breast under aerobic and various temperature conditions. The primary models were determined by Baranyi model. The secondary models for the specific growth rate (SGR) and lag time (LT), as a function of storage temperature, were developed by the polynomial model. The initial contamination level of chicken breasts was around 4.3 Log CFU/g of TVC and 1.0 Log CFU/g of E. coli. During 216 h of storage, SGR of TVC showed 0.05, 0.15, and 0.54 Log CFU/g/h at 5, 15, and $25^{\circ}C$. Also, the growth tendency of EC was similar to those of TVC. As storage temperature increased, the values of SGR of microorganisms increased dramatically and the values of LT decreased inversely. The predicted growth models with experimental data were evaluated by $B_f$, $A_f$, RMSE, and $R^2$. These values indicated that these developed models were reliable to express the growth of TVC and EC on chicken breasts. The temperature changes of distribution and showcase in markets might affect the growth of microorganisms and spoilage of chicken breast mainly.

A Study on the Development of Predictive Model for Patient Visibility in Korean Intensive Care Units (ICUs) - Focused on "Corridor or Continental" type units

  • Ullah, Ubaid;Park, Jae Seung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.22 no.3
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    • pp.27-34
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    • 2016
  • Purpose: The purpose of this paper is to develop a predictive model for patient visibility in Korean ICUs (corridor or continental type). Methods: The measures of static visibility were used to quantify the patient visibility (upper third part of the patient bed) from the nurse station. The measure of space programme and area distribution (patient zone percentage, staff zone percentage and departmental gross square meter per patient bed) were calculated by using AutoCAD and MS Excel programs. Regression analysis was conducted for visibility as dependant variable with independent variables of patient area percentage, staff area percentage as well as departmental gross square meter per bed by using IBM SPSS. Results: (1) Average patient visibility and percentage of patient area in ICU shows a strong negative correlation ($r^2$=0.66), p=0.01. (2) Patient visibility in Korean ICU (corridor or continental type) can be calculated as below with the given conditions: Y= $-1.449(X)+124.3{\pm}6$, Y is the total visibility of the ICU (corridor or continental type) and X is the percentage of patient area in the unit. Conditions:1. Given that the unit has a mixed programme of open bed and closed patient rooms and 2. The unit have a minimum of 20% patient rooms. Implications: This study may contribute to the visibility analysis of existing and future ICU design (corridor or continental type) in Korea to achieve maximum patient visibility and reduced patient mortality.

Predictive Factors of Aspects of the Transtheoretical Model on Smoking Cessation in a Rural Community (범이론 모형을 기초로 한 농촌지역 성인의 금연행위에 영향을 미치는 요인)

  • Ahn Ok-Hee;Yeun Eunja;Kwon Sung-Bok;Chung Hae-Kyung;Ryu Eunjung
    • Journal of Korean Academy of Nursing
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    • v.35 no.7
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    • pp.1285-1294
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    • 2005
  • Purpose: This study was done to evaluate the predictive value of aspects of the Transtheoretical model (TTM) of behavior change as applied to smoking cessation in a rural population. Method: A convenience sample was recruited from a public health center in a community. A total of 484 participants were recruited, including 319 smokers, 116 ex-smokers and 49 non-smokers. A cross-sectional and descriptive design was used in this study. Data was analyzed using descriptive statistics, frequency statistics, ANOVA and Logistic regression. Result: The major findings were 1) The participants were assessed at baseline for their current Stage of Change resulting in a distribution with $42.1\%$ in Precontemplation, $24.1\%$ in Contemplation, $9.7\%$ in Preparation, $6.2\%$ in Active, and $17.9\%$ in the Maintenance stage. 2) There were statistically significant differences of processes of change, decisional balance and situational temptation across the stages of change. 3) The main factors that affect smoking cessation were age, number of years smoking, age when began smoking, self-liberation and negative/affective situations, which combined explained $33.2\%$ of the smoking cessation. Conclusion: TTM variables measured prior to a smoking cessation program added little predictive value for cessation outcome beyond that explained by demographic and smoking history variables.

Quantitative Microbial Risk Assessment for Campylobacter jejuni in Ground Meat Products in Korea

  • Lee, Jeeyeon;Lee, Heeyoung;Lee, Soomin;Kim, Sejeong;Ha, Jimyeong;Choi, Yukyung;Oh, Hyemin;Kim, Yujin;Lee, Yewon;Yoon, Ki-Sun;Seo, Kunho;Yoon, Yohan
    • Food Science of Animal Resources
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    • v.39 no.4
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    • pp.565-575
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    • 2019
  • This study evaluated Campylobacter jejuni risk in ground meat products. The C. jejuni prevalence in ground meat products was investigated. To develop the predictive model, survival data of C. jejuni were collected at $4^{\circ}C-30^{\circ}C$ during storage, and the data were fitted using the Weibull model. In addition, the storage temperature and time of ground meat products were investigated during distribution. The consumption amount and frequency of ground meat products were investigated by interviewing 1,500 adults. The prevalence, temperature, time, and consumption data were analyzed by @RISK to generate probabilistic distributions. In 224 samples of ground meat products, there were no C. jejuni-contaminated samples. A scenario with a series of probabilistic distributions, a predictive model and a dose-response model was prepared to calculate the probability of illness, and it showed that the probability of foodborne illness caused by C. jejuni per person per day from ground meat products was $5.68{\times}10^{-10}$, which can be considered low risk.

Distribution of KRAS and BRAF Mutations in Metastatic Colorectal Cancers in Turkish Patients

  • Gorukmez, Orhan;Yakut, Tahsin;Gorukmez, Ozlem;Sag, Sebnem Ozemri;Karkucak, Mutlu;Kanat, Ozkan
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.3
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    • pp.1175-1179
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    • 2016
  • The results of this study demonstrate the potential prognostic and predictive values of KRAS and BRAF gene mutations in patients with colorectal cancer (CRC). It has been proven that KRAS and BRAF mutations are predictive biomarkers for resistance to anti-EGFR monoclonal antibody treatment in patients with metastatic CRC (mCRC). We demonstrated the distribution of KRAS (codons 12, 13 and 61) and BRAF (codon 600) gene mutations in 50 mCRCs using direct sequencing and compared the results with clinicopathological data. KRAS and BRAF mutations were identified in 15 (30%) and 1 (2%) patients, respectively. We identified KRAS mutations in codon 12, 13 and 61 in 73.3% (11/15), 20% (3/15) and 6.67% (1/15) of the positive patients, respectively. The KRAS mutation frequency was significantly higher in tumors located in the ascending colon (p=0.043). Thus, we found that approximately 1/3 of the patients with mCRC had KRAS mutations and the only clinicopathological factor related to this mutation was tumor location. Future studies with larger patient groups should yield more accurate data regarding the molecular mechanism of CRC and the association between KRAS and BRAF mutations and clinicopathological features.

Platelet Indices May be Useful in Discrimination of Benign and Malign Endometrial Lesions, and Early and Advanced Stage Endometrial Cancer

  • Kurtoglu, Emel;Kokcu, Arif;Celik, Handan;Sari, Seher;Tosun, Migraci
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.13
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    • pp.5397-5400
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    • 2015
  • Background: The aim of this study was to investigate the predictive value of white blood cells (WBC), the neutrophil to lymphocyte ratio (NLR), platelet indices including mean platelet volume (MPV), platelet distribution width (PDW), platelet crit (PCT) and platelet to lymphocyte ratio (PLR) in discrimination between benign and malign endometrial lesions, and early and advanced stage endometrial adenocarcinomas. Materials and Methods: Data for 105 patients undergoing total abdominal or vaginal hysterectomy for benign uterine diseases and 114 patients surgically staged for endometrium adenocarcinoma at Ondokuz Mayis University, Department of Gynecology and Obstetrics, between 2008 and 2014, were collected. Parameters were preoperative and postoperative complete blood counts in the week prior to surgery with differentials including WBC, platelet count, platelet indices (MPV, PCT, PDW), NLR and PLR. Pathologic evaluations for both benign and malign endometrium lesions, grade of endometrium adenocarcinoma, tumor stage, presence of lymphovascular space invasion (LVI) were retrospectively analyzed. Results: Regarding definitive factors in discriminating patients with endometrium cancer from those with benign diseases, MPV was significantly increased in the malign group whereas there was a significant decrease in the PDW value compared to the benign group. The best cut-off value in differentiation of the benign and malign groups, malign cases were found to increase over the value of 7.54 for MPV, and under 37.8 for PDW. When definitive factors in discrimination of early stage endometrium cancer from advanced stage disease and LVI in the malign group were evaluated according to the ROC analysis, no significant relation was detected between blood parameters and the stage and the LVI of the disease. Conclusions: MPV and PDW may have predictive value in the discrimination of benign and malign endometrium diseases. Nevertheless, since there have been few reports on this topic, further large-scale prospective studies are necessary.