• Title/Summary/Keyword: Linear prediction analysis

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Measurement of Fat Content in Potatochips by Near-infrared Spectroscopy (근적외선 분광 분석법에 의한 감자칩의 지방 함량 측정)

  • Bae, Young-Min;Cho, Seong-In;Chun, Jae-Geun
    • Korean Journal of Food Science and Technology
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    • v.28 no.5
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    • pp.916-921
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    • 1996
  • This study was conducted to measure fat contents of potatochips by near infrared spectroscopy (NIRS). Both potatochip powder and potatochips were used to find correlations between the absorbance at certain wavelengths find the fat contents. Based on the correlation analysis, linear regression models predicting the fat contents were developed to predict the fat contents. Artificial neural network (ANN) models were also developed. Predicted values were compared to the measured ones. The regression and the ANN model predicting the fat contents of potatochip powder had determination coefficients of 0.93 and 0.92, and standard errors of prediction (SEP) of 1.29% and 1.17%, respectively. The correlation analysis of potatochips showed that the determination coefficients were low. Therefore, the fat contents of not potatochips but potatochip powder could be measured by NIRS.

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To Predict Body Composition of Children and Adolescents by BIA in China

  • Zhang Li-Wei;Zhai Feng-Ying;Yu Wen-Tao;Huang Lei;Wang Hui-Jun
    • Journal of Community Nutrition
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    • v.6 no.3
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    • pp.121-124
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    • 2004
  • Objective : The paper aims to provide predictive coefficients via BIA for the assessment of body composition in children and adolescents to serve clinical as well as research purposes. Methods : Body composition via dual-energy x­ray absorptiometry (DXA) and bioelectric impedance as well as other anthropometric index were derived from meaurements on 1026 children and adolescents aged from 6 to 18 years from Beijing City. The best subset regression and principle component analysis were adopted to build the predictive coefficients with the logarithm of body composition via DXA as response variable. Results : Condition index ${\varphi}$ of fat-free mass multiple linear regression achieves 113.49 and 91.18 for males and females respectively, demonstrating severe multicollinearity among anthropometric indexes in children and adolescents. BIA predictive coefficients base on the best subset regression and principle component analysis boast a content predictive value for lean mass ($r^2$ = 0.9697 and 0.9664 for boys and girls respectively, p < 0.0001) and for Fat$\%$ ($r^2$ = 0.7705 and 0.6959 for boys and girls respectively, p < 0.0001). Conclusions : BIA method is applicable for the prediction of body composition for children and adolescents.

Possibility of the Nondestructive Quality Evaluation of Apples using Near-infrared Spectroscopy (근적외 분광분석법을 응용한 사과의 비파괴 품질 측정 가능성 조사)

  • Sohn, Mi-Ryeong;Kwon, Young-Kil;Lee, Kyung-Hee;Park, Woo-Churl;Cho, Rae-Kwang
    • Applied Biological Chemistry
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    • v.41 no.2
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    • pp.153-159
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    • 1998
  • A possibility of evaluation of the major internal quality factors-Brix, moisture contents, firmness and acid content in the Korean domestic 'Fuji'apple fruits by near-infrared reflectance spectroscopic (NIRS) methods were investigated. A multiple linear regression(MLR) analysis between the data obtained by physico- chemical analysis method using refractometer, freeze drier, texture analyzer and titrater and NIR spectral data was carried out to make a calibration. The standard error of prediction(SEP) of Brix, moisture, firmness and acid content were $0.50^{\circ}Brix,\;0.64%,\;0.14kg/cm^2$ and 0.07%. It is concluded that NIRS methods can be used to evaluate Brix and moisture contents of in a apple non-destructive and rapid way but the accuracy for determination of firmness and acid content was slightly low.

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Analysis Technique for Chloride Penetration in High Performance Concrete Behavior Considering Time-Dependent Accelerated Chloride Diffusivity (촉진염화물 확산계수의 시간의존성을 고려한 고성능 콘크리트의 염화물 침투 해석기법)

  • Kwon, Seung-Jun;Park, Sun-Gyu
    • Journal of the Korea Concrete Institute
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    • v.25 no.2
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    • pp.145-153
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    • 2013
  • Recently, accelerated chloride diffusion coefficients are used for an evaluation of chloride behavior. Similar as apparent diffusion coefficients, accelerated diffusion coefficients decrease with time. In this study, decrease in diffusion coefficient with time is simulated with porosity. Utilizing DUCOM-program, porosities from 15 mix proportions are obtained and diffusion coefficients are modelled with regression analysis of porosity for 270 days. Considering non-linear binding capacity which means the relation between free and bound chloride ion, chloride behavior in high performance concrete is evaluated. Through utilizing the previous test results for concrete under chlorides for 180 days, the applicability of the proposed technique is verified. The proposed technique is evaluated to reasonably predict the chloride behavior in concrete with various w/c (water to cement) ratios and mineral admixtures (GGBFS and FA). It is also shown that decrease in chloride diffusion should be considered for chloride prediction in concrete with mineral admixture since it has very clear decrease in diffusivity with time.

An improved polynomial model for top -and seat- angle connection

  • Prabha, P.;Marimuthu, V.;Jayachandran, S. Arul;Seetharaman, S.;Raman, N.
    • Steel and Composite Structures
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    • v.8 no.5
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    • pp.403-421
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    • 2008
  • The design provisions for semi-rigid steel frames have been incorporated in codes of practice for steel structures. In order to do the same, it is necessary to know the experimental moment-relative rotation (M-${\theta}_r$) behaviour of beam-to-column connections. In spite of numerous publications and collection of several connection databases, there is no unified approach for the semi-rigid design of steel frames. Amongst the many connection models available, the Frye-Morris polynomial model, with its limitations reported in the literature, is simple to adopt at least for the linear design space. However this model requires more number of connection tests and regression analyses to make it a realistic prediction model. In this paper, 3D nonlinear finite element (FE) analysis of beam-column connection specimens, carried out using ABAQUS software, for evaluating the M-${\theta}_r$ behaviour of semi-rigid top and seat-angle (TSA) bolted connections are described. The finite element model is validated against experimental behaviour of the same connection with regard to their moment-rotation behaviour, stress distribution and mode of failure of the connections. The calibrated FE model is used to evaluate the performance of the Frye-Morris polynomial model. The results of the numerical parametric studies carried out using the validated FE model have been used in proposing modifications to the Frye-Morris model for TSA connection in terms of the powers of the size parameters.

A Study for Automatic Analysis of Qualysis of Quality Components in Tabacco Leaves Using Non-destructive Analytical Method (근적외 분광분석법에 의한 잎담배의 품질측정 자동화)

  • Cho, Rae-Kwang;Lee, Kyung-Hee;Lee, Jung-Hwan;Kwon, Yong-Kil
    • Applied Biological Chemistry
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    • v.37 no.5
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    • pp.349-355
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    • 1994
  • The present study was conducted to develop the automatic analytical method for determining moisture, nicotine, reducing sugar and total nitrogen contents and color(L, a, b) value in domestic tobacco leaves using near infrared(NIR) spectroscopy. The results of multiple linear regression analysis between chemical and NIR data showed that NIR spectro-scopy can determine those quality components of tobacco samples in 30 seconds, non-destructively. The results using developed calibrations are summarized as follows; The standard error of prediction(SEP) for moisture, nicotine. total nitrogen, reducing sugar contents and color(L, a, b) value in domestic tobacco leaves was 0.28%, 0.25%, 0.07%, 0.75%, 1.25, 0.44 and 1.07, respectively. In addition, The possibility of developing the cheaper filter type NIR instrument, for quality evaluation in the procurement from leaf tobacco cultivators and process control was investigated.

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PLK2 Single Nucleotide Variant in Gastric Cancer Patients Affects miR-23b-5p Binding

  • Dominkus, Pia Puzar;Mesic, Aner;Hudler, Petra
    • Journal of Gastric Cancer
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    • v.22 no.4
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    • pp.348-368
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    • 2022
  • Purpose: Chromosomal instability is a hallmark of gastric cancer (GC). It can be driven by single nucleotide variants (SNVs) in cell cycle genes. We investigated the associations between SNVs in candidate genes, PLK2, PLK3, and ATM, and GC risk and clinicopathological features. Materials and Methods: The genotyping study included 542 patients with GC and healthy controls. Generalized linear models were used for the risk and clinicopathological association analyses. Survival analysis was performed using the Kaplan-Meier method. The binding of candidate miRs was analyzed using a luciferase reporter assay. Results: The PLK2 Crs15009-Crs963615 haplotype was under-represented in the GC group compared to that in the control group (Pcorr=0.050). Male patients with the PLK2 rs963615 CT genotype had a lower risk of GC, whereas female patients had a higher risk (P=0.023; P=0.026). The PLK2 rs963615 CT genotype was associated with the absence of vascular invasion (P=0.012). The PLK3 rs12404160 AA genotype was associated with a higher risk of GC in the male population (P=0.015). The ATM Trs228589-Ars189037-Grs4585 haplotype was associated with a higher risk of GC (P<0.001). The ATM rs228589, rs189037, and rs4585 genotypes TA+AA, AG+GG, and TG+GG were associated with the absence of perineural invasion (P=0.034). In vitro analysis showed that the cancer-associated miR-23b-5p mimic specifically bound to the PLK2 rs15009 G allele (P=0.0097). Moreover, low miR-23b expression predicted longer 10-year survival (P=0.0066) in patients with GC. Conclusions: PLK2, PLK3, and ATM SNVs could potentially be helpful for the prediction of GC risk and clinicopathological features. PLK2 rs15009 affects the binding of miR-23b-5p. MiR-23b-5p expression status could serve as a prognostic marker for survival in patients with GC.

The effects of satisfaction with major, and dental hygiene professionalism on career preparation behavior of dental hygiene students (치위생(학)과 학생의 전공만족도, 치위생전문직관이 진로준비행동에 미치는 영향)

  • Ji-Hyoung Han;Min-Young Kim
    • Journal of Korean society of Dental Hygiene
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    • v.23 no.5
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    • pp.387-393
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    • 2023
  • Objectives: This study was attempted in order to understand about the satisfaction with major and the dental hygiene professionalism in dental hygiene students and to grasp the factors affecting the career preparation behavior. Methods: The research subjects included 264 juniors and seniors who are attending dental hygiene department across Korea (three locations in Gyeonggi province, one locations in Daejeon, four locations in Jeolla province, and one locations in Daegu). Data were collected using the online questionnaire between March 6 to April 7, 2023. The chosen data analysis method included descriptive statistical analysis, t-test, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple linear regression. Results: The following average scores were obtained from those surveyed: 3.25 points concerning career preparation behavior, 3.83 points concerning the respondent's satisfaction with their major, and 3.45 points concerning dental hygiene professionalism. As for a difference in career preparation behavior according to general characteristics, a meaningful difference was shown in terms of gender, motivation for entering the field, and first desired employment. Aspects of career preparation behavior, satisfaction with one's major, and dental hygiene professionalism showed a significant correlation and were confirmed to explain the prediction of 29.1% of the variation in the regression model. Conclusions: For the sake of having an integrated understanding about career preparation behavior among dental hygiene students, there is a need to conduct repeated research on diverse variables and to inquire into a causal relationships between such variables.

Correlation between Vocational Training Evaluation Data and Employment Outcomes: A Study on Prediction Approaches through Machine Learning Models (직업훈련생 평가 데이터와 취업 결과의 상관관계: 머신러닝 모델을 통한 예측 방안 연구)

  • Jae-Sung Chun;Il-Young Moon
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.291-296
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    • 2024
  • This study analyzed various machine learning models that predict employment outcomes after vocational training using pre-assessment data of disabled vocational trainees. The study selected and utilized the most appropriate machine learning models based on a data set containing various personal characteristics, including trainees' gender, age, and type of disability. Through this analysis, the goal is to improve the employment rate and job satisfaction of disabled trainees using only pre-assessment data. As a result, it presents a universal approach that can be applied not only to people with disabilities, but also to vocational trainees from a variety of backgrounds. This is expected to make an important contribution to the development and implementation of tailored vocational training programs, ultimately helping to achieve better employment outcomes and job satisfaction.

Analyses of Hydrology and Groundwater Level Fluctuation in Granite Aquifer with Tunnel Excavation (터널 굴착에 의한 화강암 대수층의 수리 수문 및 지하수위변동 분석)

  • Chung, Sang-Yong;Kim, Byung-Woo;Kang, Dong-Hwan;Shim, Byoung-Ohan;Cheong, Sang-Won
    • The Journal of Engineering Geology
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    • v.17 no.4
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    • pp.643-653
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    • 2007
  • Average hydraulic conductivity was $2.64{\times}10^{-8}m/sec$ average RQD was 78%, average porosity was 0.51%, and range of groundwater level was $77.06{\sim}125.97m$ by measured in 8 boreholes at the Surak Mt. tunnel area. Groundwater level of two peaks in the Surak Mt. tunnel area were estimated through linear regression analysis for groundwater level versus elevation. And, average horizontal hydraulic gradient in the Surak Mt. tunnel area was calculated 0.267. Minimum, maximum, and average hydraulic conductivities that estimated by field tests were $5.56{\times}10^{-9}m/sec,\;6.12{\times}10^{-8}m/sec,\;and\;2.64{\times}10^{-8}m/sec$, respectively. Groundwater discharge rates per 1 meter that estimated using minimum, maximum, and average hydraulic conductivities and average horizontal hydraulic gradient were $0.00585m^2/day,\;0.06434m^2/day,\;and\;0.02775m^2/day$, respectively. Pure groundwater recharge rate per unit recharge area was calculated 223.96 mm/yr through water balance analysis. Prediction simulation of groundwater level fluctuation with minimum, maximum, and average hydraulic conductivities were conducted. Discharge rate into the Surak Mt. tunnel for minimum hydraulic conductivity was small, but groundwaer drawdown was highly. Discharge rate into the Surak Mt. tunnel for maximum hydraulic conductivity was higher, but groundwaer level was recovered quickly.