• Smart Structures and Systems
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• 제24권4호
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• pp.553-566
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• 2019

This study aimed to categorize pervious rubberized concrete into fresh and hardened concrete analyzing its durability, permeability and strength. During the globalization of modern life, growing population and industry rate have signified a sustainable approach to all aspects of modern life. In recent years, pervious concrete (porous concrete) has significantly substituted for pavements due to its mechanical and environmental properties. On the other hand, scrap rubber tire has been also contributed with several disposal challenges. Considering the huge amount of annually tire wastes tossing out, the conditions become worse. Pervious concrete (PC) gap has graded surface assisted with storm water management, recharging groundwater sources and alleviate water run-offs. The results have shown that the use of waste tires as aggregate built into pervious concrete has tremendously reduced the scrap tire wastes enhancing environmental compliance.

• Nuclear Engineering and Technology
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• 제55권11호
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• pp.4213-4227
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• 2023

Computer Automated Radioactive Particle Tracking (CARPT) technique has been successfully utilized to measure the velocity profiles and mixing parameters in different multiphase flow systems where a single radioactive tracer is used to track the tagged phase. However, many industrial processes use a wide range of particles with different physical properties where solid particles could vary in size, shape and density. For application in such systems, the capability of current single tracer CARPT can be advanced to track more than one particle simultaneously. Tracking multiple particles will thus enable to track the motion of particles of different size shape and density, determine segregation of particles and probing particle interactions. In this work, a newly developed Multiple Radioactive Particle Tracking technique (M-RPT) used to track two different radioactive tracers is demonstrated. The M-RPT electronics was developed that can differentiate between gamma counts obtained from the different radioactive tracers on the basis of their gamma energy peak. The M-RPT technique was validated by tracking two stationary and moving particles (Sc-46 and Co-60) simultaneously. Finally, M-RPT was successfully implemented to track two phases, solid and liquid, simultaneously in three phase slurry bubble column reactors.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제36권2호
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• pp.229-252
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• 2022

본 연구는 한국, 싱가포르, 미국, 일본의 초등학교 교과서에 제시된 모으기와 가르기, 덧셈 및 뺄셈의 도입 단원을 비교하고 분석한 것이다. 분석의 초점은 시각적 모델 및 제시된 문제 상황과의 연결성, 언어적 표현 및 시각적 모델과의 연결성, 관계적 이해 및 추가 활동이다. 분석 결과, 교과서에 따라 문제 상황, 시각적 모델, 언어적 표현이 다르게 구현됨에 따라 연결성도 다르게 나타났다. 각 교과서는 문제 상황의 제시 방법과 순서에서 차이가 있었고, 시각적 모델 측면에서도 하나의 모델을 지속적으로 사용하는 경우와 다양한 모델을 사용하는 경우가 있었다. 언어적 표현 측면에서는 각 교과서 마다 다른 특징이 있었으며, 관계적 이해 측면에서는 모든 교과서가 등호 양변의 값이 같다는 것을 강조하는 활동을 제시하였다. 이와 같은 연구 결과를 바탕으로 덧셈과 뺄셈 도입과 관련된 문제 상황, 시각적 모델의 활용, 언어적 표현 방안 등 후속 교과서의 단원 개발과 관련한 시사점을 논의하였다.

• 한국지구과학회지
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• 제27권2호
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• pp.130-139
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• 2006

자연사 박물관을 비형식교육기관으로 정의하게 될 경우, 가장 먼저 고려하는 것은 형식교육기관과 어떤 형식으로 보조를 맞추고 도움을 주고받을 수 있는가 이다. 이는 전시의 내용과 전시의 형태에서 과학교육과정을 어느 정도로 또한 어떻게 반영하고 있는가를 통해 알아볼 수 있을 것으로 가정하였다. 본 연구에서는 미국 자연사 박물관인 스미소니안 자연사 박물관과 뉴욕의 아메리칸 자연사 박물관의 전시물 중에서 지구과학관련 전시물 461점을 선별하였다. 선발된 전시물의 다양한 측면을 개발된 도구를 이용해 조사하였다. 개발된 교육과정분석틀은 미국 국가과학교육기준(National Science Curriculum Standard; NRC, 1996)과 TIMSS(Third International Mathematics and Science Study; Robitaille et al., 1993)의 과학교육과정 프레임을 근거로 구성하였다. 고려되었던 전시의 특징은 우선 전시의 활동 유형, 전시 기술, 전시 매체, 전시 표현 등이고 아울러 과학의 본성이 어떻게 전시물에 나타나는가를 살펴보았다. 비형식 교육기관으로서의 자연사 박물관의 역할에 대한 잠재력을 본 연구를 통해 재검토하였다.

• Advances in nano research
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• 제16권5호
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• pp.509-519
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• 2024

In this study, the static analysis of carbon nanotube-reinforced composites (CNTRC) beams resting on a Winkler-Pasternak elastic foundation is presented. The developed theories account for higher-order variation of transverse shear strain through the depth of the beam and satisfy the stress-free boundary conditions on the top and bottom surfaces of the beam. To study the effect of carbon nanotubes distribution in functionally graded (FG-CNT), we introduce in the equation of CNT volume fraction a new exponent equation. The SWCNTs are assumed to be aligned and distributed in the polymeric matrix with different patterns of reinforcement. The rule of mixture is used to describe the material properties of the CNTRC beams. The governing equations were derived by employing Hamilton's principle. The models presented in this work are numerically provided to verify the accuracy of the present theory. The analytical solutions are presented, and the obtained results are compared with the existing solutions to verify the validity of the developed theories. Many parameters are investigated, such as the Pasternak shear modulus parameter, the Winkler modulus parameter, the volume fraction, and the order of the exponent in the volume fraction equation. New results obtained from bending and stresses are presented and discussed in detail. From the obtained results, it became clear the influence of the exponential CNTs distribution and Winkler-Pasternak model improved the mechanical properties of the CNTRC beams.

• Nutrition Research and Practice
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• 제5권3호
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• pp.253-259
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• 2011

The rapid rise in the incidence of obesity has emerged as one of the most pressing global public health issues in recent years. The underlying etiological causes of obesity, whether behavioral, environmental, genetic, or a combination of several of them, have not been completely elucidated. The obesity epidemic has been attributed to the ready availability, abundance, and overconsumption of high-energy content food. We determined here by Pearson's correlation the relationship between food type consumption and rising obesity using the loss-adjusted food availability data from the United States Department of Agriculture (USDA) Economic Research Services (ERS) as well as the obesity prevalence data from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey (NHANES) at the Centers for Disease Control and Prevention (CDC). Our analysis showed that total calorie intake and consumption of high fructose com syrup (HFCS) did not correlate with rising obesity trends. Intake of other major food types, including chicken, dairy fats, salad and cooking oils, and cheese also did not correlate with obesity trends. However, our results surprisingly revealed that consumption of com products correlated with rising obesity and was independent of gender and race/ethnicity among population dynamics in the U.S. Therefore, we were able to demonstrate a novel link between the consumption of com products and rising obesity trends that has not been previously attributed to the obesity epidemic. This correlation coincides with the introduction of bioengineered corns into the human food chain, thus raising a new hypothesis that should be tested in molecular and animal models of obesity.

• Genomics & Informatics
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• 제20권2호
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• pp.23.1-23.9
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• 2022

A survival prediction model has recently been developed to evaluate the prognosis of resected nonmetastatic pancreatic ductal adenocarcinoma based on a Cox model using two nationwide databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP). In this study, we applied two machine learning methods-random survival forests (RSF) and support vector machines (SVM)-for survival analysis and compared their prediction performance using the SEER and KOTUS-BP datasets. Three schemes were used for model development and evaluation. First, we utilized data from SEER for model development and used data from KOTUS-BP for external evaluation. Second, these two datasets were swapped by taking data from KOTUS-BP for model development and data from SEER for external evaluation. Finally, we mixed these two datasets half and half and utilized the mixed datasets for model development and validation. We used 9,624 patients from SEER and 3,281 patients from KOTUS-BP to construct a prediction model with seven covariates: age, sex, histologic differentiation, adjuvant treatment, resection margin status, and the American Joint Committee on Cancer 8th edition T-stage and N-stage. Comparing the three schemes, the performance of the Cox model, RSF, and SVM was better when using the mixed datasets than when using the unmixed datasets. When using the mixed datasets, the C-index, 1-year, 2-year, and 3-year time-dependent areas under the curve for the Cox model were 0.644, 0.698, 0.680, and 0.687, respectively. The Cox model performed slightly better than RSF and SVM.