현상학 연구는 질적 연구방법 중에서도 현상의 이면을 밝혀 그 본질을 도출하는 방법론이다. 이런 본래 의 현상학적 연구의 취지를 살려 연구의 성격에 맞춰 현상의 본질을 드러낼 수 있는 다양한 현상학적 방법 론이 적용될 필요가 있다. 하지만 현상학적 방법론은 현실적으로 지오르지(Giorgi)와 반마넨(Van Manen) 의 방법론에 치우쳐 있는 실정이다. 이런 문제의식을 바탕으로 본 연구자는 청소년의 학교폭력 경험에 적용 한 현상학적 자기평가방법의 분석방법을 고찰했다. 이 방법론은 환원과정이 4단계로 구체적이어서 현상학 의 본래 취지인 본질에 도달하는데 적합하다고 생각한다. 구체적으로 학교폭력 피해학생의 심층인터뷰를 활용해 현상학적 자기평가방법의 환원과정을 이 연구에서 보여주었다. 이 현상학적 자기평가방법은 사회복 지학이나 사회학에서 다루는 현상의 본질을 파악하기에 적합한 연구방법이라 할 수 있다.

본 연구는 특수한 조건에서의 줄눈 콘크리트포장의 설계 및 성능에 관한 분석을 목적으로 한다. 줄눈 콘크리트포장은 시멘트 콘크리트 포장의 한 형태로, 오랜 기간 도로 포장형식으로 사용되어 왔다. 이 포장 방식은 철근을 사용하지 않는 대신, 콘크리트 슬래브의 균열을 줄눈을 통해 유도하고, 다월바와 타이바를 통해 슬래브에 생기는 응력을 줄이는 방식이 다. 대한민국의 다양한 지역 환경과 계절적 특성은 도로 포장설계에 주요한 인자로 적용된다. 특히, 슬래브의 부등건조수 축이 평탄성 문제의 주요 원인으로 지적되며, 이는 온습도의 변화에 의해 발생한다. 본 연구에서는 3차원 유한요소해석 을 활용하여 줄눈 콘크리트포장 슬래브의 거동을 분석하고, 콘크리트 슬래브의 두께, 줄눈 간격, 타이바 및 다웰바의 배 치 등 주요 설계 변수의 영향을 평가한다. 이러한 설계 인자들이 슬래브의 응력과 변위에 미치는 영향을 확인하며, 다양 한 환경 조건 하에서의 설계 방법의 유효성을 검증한다. 본 연구는 줄눈 콘크리트포장의 실제 배치 방식을 모델링하여, 기존 설계 방식의 보안 사항을 파악하고, 설계 기준 내에서의 주요 인자 변화를 통해 부등건조수축을 완화할 수 있는 방 안을 제시한다. 이를 통해, 특수 환경 조건에서의 온습도 영향을 고려한 효율적인 포장 설계 방안을 도출함으로써, 도로 포장의 평탄성과 내구성 향상에 기여하고자 한다.

본 연구는 대학 창의융합수업에서 Appreciative Inquiry 교수학습방법을 적용한 후 창의융합역량 학습 성과 효과를 분석하는 것을 목적으로 하였다. 이를 위하여 창의융합교육을 위한 창의융합역량 학습성과 평가도구를 개발하고 이를 타당화하였다. 이후, 경기도 소재 G 대학교 경영대학원에서 교육경영 교과목을 수강하는 대학원생 12명을 대상으로 교수학습 방법을 적용한 창의융합교육을 실시하고 창의융합역량 학 습성과 효과를 분석하였다. 연구결과, 팀기반 Appreciative Inquiry 교수학습 방법이 학습자의 창의융합역 량 학습성과 증진에 유의미한 역할을 하였다. 학습자-학습자간, 교수자-학습자간 평가로 실시한 학습성 과 평가에서 Appreciative Inquiry의 4D 활동이 혁신적 사고, 다양한 아이디어, 경험의 결합, 협력적 태도 역량 증진에 효과적인 것으로 분석하였다. 이를 통해 창의융합교육에서 학습자의 적극적인 참여와 협업을 바탕으로 긍정적인 분위기의 아이디어 발산과 공유의 팀기반 교수학습 방법이 창의융합역량 학습성과에 효과가 있다 결론을 도출하였다.

Abstract Purpose : This study analyzed physical properties using 1,6-Hexanediol diacrylate (HDDA) as an additive to improve functionality of hydrogel lens such as durability. It was checked whether HDDA can be applied as a crosslinking agent in place of ethylene glycol dimethacrylate (EGDMA). Methods : Polymerization used thermal polymerization and photopolymerization methods, and HDDA was added to each polymerization method at a ratio of 1∼20%. Optical and physical characteristics of the manufactured lens were evaluated by measuring spectral transmittance, refractive index, water content, tensile strength, contact angle, and AFM. Results : Regardless of the polymerization method, the tensile strength ranged from 0.232~0.408 kgf/mm2 in thermal polymerization and from 0.146~0.429 kgf/mm2 depending on the addition ratio of HDDA. In addition, as a result of using HDDA instead of EGDMA, it was confirmed that the physical characteristics of the lens were similar to that of EGDMA, and in the case of tensile strength, HDDA was much improved. Conclusion : HDDA has been shown to be effective in improving the functionality of hydrogel lens and to improve stability and durability. In addition, it is believed that it can be used in various ways as an ophthalmic material as well as a photopolymerization crosslinking agent. Key words : Crosslinking agent, Tensile strength, 1,6-Hexanediol diacrylate, Hydrogel lens

Background: Single nucleotide polymorphisms (SNPs) are widely used genetic markers with applications in human disease diagnostics, animal breeding, and evolutionary studies, but existing genotyping methods can be labor-intensive and costly. The aim of this study is to develop a simple and rapid method for identification of a single nucleotide change. Methods: A modified Polymerase Chain Reaction Amplification of Multiple Specific Alleles (PAMSA) and high resolution melt (HRM) analysis was performed to discriminate a bovine polymorphism in the NCAPG gene (rs109570900, 1326T > G). Results: The inclusion of tails in the primers enabled allele discrimination based on PCR product lengths, detected through agarose gel electrophoresis, successfully determining various genotypes, albeit with some time and labor intensity due to the use of relatively costly high-resolution agarose gels. Additionally, high-resolution melt (HRM) analysis with tailed primers effectively distinguished the GG genotype from the TT genotype in bovine muscle cell lines, offering a reliable way to distinguish SNP polymorphisms without the need for time-consuming AS-PCR. Conclusions: Our experiments demonstrated the importance of incorporating unique mismatched bases in the allele-specific primers to prevent cross-amplification by fragmented primers. This efficient and cost-effective method, as presented here, enables genotyping laboratories to analyze SNPs using standard real-time PCR.

Dissolved organic matter (DOM) is a key component in the biogeochemical cycling in freshwater ecosystem. However, it has been rarely explored, particularly complex river watershed dominated by natural and anthropogenic sources, such as various effluent facility and livestock. The current research developed a new analytical method for TOC/TN (Total Organic Carbon/Total Nitrogen) stable isotope ratio, and distinguish DOM source using stable isotope value (δ13C-DOC) and spectroscopic indices (fluorescence index [FI] and biological index [BIX]). The TOC/TN-IR/MS analytical system was optimized and precision and accuracy were secured using two international standards (IAEA-600 Caffein, IAEA-CH-6 Sucrose). As a result of controlling the instrumental conditions to enable TOC stable isotope analysis even in low-concentration environmental samples (<1 mgC L-1), the minimum detection limit was improved. The 12 potential DOM source were collected from watershed, which includes top-soils, groundwater, plant group (fallen leaves, riparian plants, suspended algae) and effluent group (pig and cow livestock, agricultural land, urban, industry facility, swine facility and wastewater treatment facilities). As a result of comparing characteristics between 12 sources using spectroscopic indices and δ13C-DOC values, it were divided into four groups according to their characteristics as a respective DOM sources. The current study established the TOC/TN stable isotope analyses system for the first time in Korea, and found that spectroscopic indices and δ13C-DOC are very useful tool to trace the origin of organic matter in the aquatic environments through library database.

PURPOSES : This study is aimed to economic analysis of the ferronickel slag pavement method carried out to suggest the necessity of developing ferronickel slag pavement technology. METHODS : A life cycle cost analysis of the application of the Ferronickel Slag pavement method and the cutting + overlay pavement method was performed to compare the economic indicators and greenhouse gas emissions for each pavement method. RESULTS : As a result of the analysis, regardless of the Ferronickel Slag mixing rate, if the common performance of the Ferronickel Slag pavement method is the same or superior to the existing pavement method, it is more economical than the existing pavement method. Furthermore, the lower the maintenance cost of the Ferronickel Slag pavement method, the higher the economic feasibility due to the high Ferronickel Slag mixing rate. Greenhouse gas emissions can be reduced from at least 9% to up to 53% through the application of the Ferronickel Slag pavement method, except for some scenario analysis results. CONCLUSIONS : This study provided that the Ferronickel Slag pavement method was superior to the existing pavement method in terms of economic and environmental aspects. Therefore, it was found that the objective justification of developing road pavement technology using Ferronickel Slag was secured.

Most of the C-14 produced is in the organic form, generated as methane (14CH4), methanol (14CH3OH), formaldehyde (14CH2O), and formic acid (14CO2H2). When analyzing C-14, it is transformed into the form of 14CO2, and its concentration is determined using LSC. Typical examples include the wet oxidation method, the combustion or Pyrolysis. The wet oxidation method uses strong acids and involves repeated operations, which generates large amounts of acid waste and secondary radioactive waste. The combustion method uses high temperatures, which requires an oxygen device. Pyrolysis also requires high temperature in a vacuum and catalysts. Catalysts are expensive because they are platinum-based. To compensate for these shortcomings, a C-14 analysis method using UV irradiation was developed. In this study, 100 mL of distilled water mixed with formic acid (CO2H2), potassium persulfate (K2S2O8), and silver nitrate (AgNO3) was irradiated with a 320-390 nm UV lamp to conduct a CO2 production reaction experiment. The UV range was measured using a photometer (UV Power puck II). The beaker was made of quartz in 150 mL size with three inlets : a temperature measurement, a sample inlet, and a collection tube connector. We changed the UV lamp used from a 450 W halogen lamp to a 100 W LED, which has a lower temperature and is safer. As a result of the experiment, CO2 bubbles were generated in the collection tube, due to the UV irradiation react, which uses oxidizer and catalysts. The maximum temperature of the solution irradiated with the LED UV lamp was less than 56°C. It confirmed the rate of bubble generation changed depending on the lamp distance, the amount of sample, oxidizer, and catalyst. In an experiment to confirm the reaction caused by heat, it was found that although a reaction occurred due to heat, the reaction was significantly lower than when using a UV lamp. The reproducibility experiment was conducted three times in total under the same conditions. It showed the same pattern. In the future, we plan to select mock samples, collect 14CO2 in Carbo- Sorb, and analyze them using LSC. The results of this research will be used as a technology to recover C-14 more safely and efficiently and will also be used to expand its application to the treatment of other wastes such as waste liquid and waste resin through simulated samples.

For safe disposal of radioactive wastes, accurate analysis of nuclear isotopes is important. It is known that there are 14 nuclides that have to identify nuclide-specific concentration levels. 63Ni, one of non-volatile nuclear isotopes which is included in those 14 nuclides, has to follow chemical separation for exact analysis. As various analysis methods were developed, various methods for analyzing 63Ni also emerged. Past method has used measurement specimens of 59Ni, after 59Ni measurement has been done. It used HClO4, known as strong oxidizing agent, to dissolve DMG, an organic substance used to form 59Ni precipitates. Nowadays, we analyze 59Ni and 63Ni simultaneously, which enables short analysis time, without use of HClO4. But high accuracy is just as important as short measurement time and efficiency. So, this paper compare 63Ni specific activity value used new method with the value, past method used, using real sample’s data. As a result, all sample data from new method’s relative 63Ni specific activity is within the uncertainty range of past ones based on past specific activity value. Consistency of new method’s result and past method’s data increased the reliability of the data and accuracy of those methods.

PURPOSES : Traffic volume, an important basic data in the field of road traffic, is collected from traffic survey equipment installed at certain locations, which sometimes results in missing traffic volume data and abnormal detection. Therefore, this study presents various missing correction techniques using traffic characteristic analysis to obtain accurate traffic volume statistics. METHODS : The fundamental premise behind the development of a traffic volume correction and prediction model is to set the corrected data as the reference value, and the traffic volume correction and prediction process for the outliers and missing values in the raw data were performed based on the set values. RESULTS : The simulation results confirmed that the algorithm combining seasonal composition, quantile AD, and aggregation techniques showed a detection performance of more than 91% compared with actual values. CONCLUSIONS : Raw data collected due to difficulties faced by traffic survey equipment will result in missing traffic volume data and abnormal detection. If these abnormal data are used without appropriate corrections, it is difficult to accurately predict traffic demand. Therefore, it is necessary to improve the accuracy of demand prediction through characteristic analysis and the correction of missing data or outliers in the traffic data.

본 연구에서는 T2 터보 스핀 에코 지방 포화 기법 중 딥러닝 기반 T2 터보 스핀 에코 Dixon 기법에서 지방분율에 대한 분석을 통해 정확한 지방 포화가 이루어지는지 알아보고자 하였다. 이에 미국 방사선학회 인증 팬텀을 기준 팬텀으로 설정 하고, 액체 지방 팬텀을 이용하여 일반 T2 지방 포화 기법들과 딥러닝 기반 T2 Dixon 기법의 지방분율을 정량적으로 분석 하였다. 연구 방법은 기준 팬텀 3시 방향에 지방 함유율이 0, 10, 20, 30%인 액체 지방 팬텀을 고정하고, 기법별 액체 지방 팬텀 중심부의 신호강도 값을 도출하였다. 그리고 측정된 값을 지방분율 공식을 이용하여 수치화하였다. 연구 결과 각각의 액체 지방 팬텀의 지방분율 측정에서 T2 Dixon 딥러닝 기법과 Dixon 기법이 다른 일반 지방 포화 기법들과 비교해 기준 지방분율에 가장 근접하였다. 그리고 두 기법 간 통계적 차이는 없어 딥러닝 영상 재구성이 지방 포화에 영향을 미치 지 않음을 알 수 있었다. 따라서 딥러닝 기반 T2 터보 스핀 에코 Dixon 기법은 정확한 지방분율로 지방 포화를 할 수 있어 그 유용성이 있다고 생각한다.

Benthic attached diatoms (BADs), a major primary producer in lotic stream and river ecosystems are micro-sized organisms and require a highly magnified microscopic technique in the observation work. Thus, it is often not easy to ensure accuracy and precision in both qualitative and quantitative analyses. This study proposed a new technique applicable to improve quality control of aquatic ecosystem monitoring and assessment using BADs. In order to meet the purpose of quality control, we developed a permanent mounting slide technique which can be used for both qualitative and quantitative analyses simultaneously. We designed specimens with the combination of grid on both cover and slide glasses and compared their efficiency. As a result of observation and counting of BADs, the slide glass designed with the color-lined grid showed the highest efficiency compared to other test conditions. We expect that the method developed in this study could be effectively used to analyze BADs and contributed to improve the quality control in aquatic ecosystem health monitoring and assessment.

소음공해는 인간과 해양환경에 악영향을 끼치며, 선박과 해양구조물에서 발생하는 유동소음을 예측을 통해 소음에 대한 안전 성을 평가하고 해양환경을 보존할 수 있다. 기존 수중구조 유동소음 해석기법은 전산유체역학과 FW-H음향상사식을 이용한 하이브리드법 기반이다. FW-H는 무한공간에서의 음향전파를 가정하여 소음해석을 수행하기 때문에 음파의 반사와 산란, 회절의 영향이 나타나는 근접 장 해석이 제한적이다. 반면 격자볼츠만기법 기반의 직접법 유동소음해석을 수행하면 근접장 음향효과를 소음해석에 반영할 수 있다. 직 접법 해석은 유동과 소음이 연성된 해석이 수행되고 구조경계에서의 반사와 회절, 유동에 의한 매질 불균일성에 따른 산란효과가 반영된 다. 그간 격자볼츠만기법이 수중조건에서 수치적으로 불안정하여 수중환경에 적용이 불가능했다. 하지만 수중환경에서 사용할 수 있는 DM-TS 격자볼츠만기법 충돌연산자가 개발되어 수중으로 확장이 가능해졌다. 본 연구에서는 파이프내 원형구멍에 대하여 격자볼츠만기 법 해석을 수행해 수중 유동소음해석이 가능함을 보였다. 격자볼츠만기법 해석을 통해 도출한 유동과 소음을 각각 실험과 비교하여 해석 의 신뢰도를 확보하였다. 파이프내 유동소음에 의한 주요 압력 피크가 해석에 반영되었으며 이를 통해 격자볼츠만기법을 이용한 근접장 유동소음해석이 가능함을 확인했다.

This study was conducted to select target fish species as baseline research for accumulation analysis of major hazardous chemicals entering the aquatic ecosystem in Korea and to analyze the impact on fish community. The test bed was selected from a sewage treatment plant, which could directly confirm the impact of the inflow of harmful chemicals, and the Geum River estuary where harmful chemicals introduced into the water system were concentrated. A multivariable metric model was developed to select target candidate fish species for hazardous chemical analysis. Details consisted of seven metrics: (1) commercially useful metric, (2) top-carnivorous species metric, (3) pollution fish indicator metric, (4) tolerance fish metric, (5) common abundant metric, (6) sampling availability (collectability) metric, and (7) widely distributed fish metric. Based on seven metric models for candidate fish species, eight species were selected as target candidates. The co-occurring dominant fish with target candidates was tolerant (50%), indicating that the highest abundance of tolerant species could be used as a water pollution indicator. A multi-metric fish-based model analysis for aquatic ecosystem health evaluation showed that the ecosystem health was diagnosed as “bad conditions”. Physicochemical water quality variables also influenced fish feeding and tolerance guild in the testbed. Eight water quality parameters appeared high at the T1 site, indicating a large impact of discharging water from the sewage treatment plant. T2 site showed massive algal bloom, with chlorophyll concentration about 15 times higher compared to the reference site.

현재, 국내에서는 가공식품인 식용유지에 대한 잔류농약 허용기준이 설정되어 있지 않아 잔류농약은 식용유 품질평 가의 사각지대라 할 수 있다. 본 연구에서는 식용유지에서 가열증류법을 이용하여 68종의 농약을 대상으로 추출 및 정 제법을 최적화하여 GC-MS/MS 분석법을 확립하였다. 가열 증류법은 가열온도 및 시간의 영향을 받았으며 이동상의 역 할을 하는 질소의 유량과 용출용매의 종류에는 큰 영향을 받지 않는 것으로 나타났다. 본 연구에서 잔류농약의 결정 계수(R2)는 0.99 이상으로 나타났고, 정량한계(LOQ)는 0.01- 0.02 mg/L이었으며, 대두유를 이용하여 0.01, 0.02, 0.1, 0.5 mg/L 수준으로 회수율 실험 결과 평균 회수율(n=5)은 66.1- 120.0%이었고 상대표준편차는 ±10%이하로 나타났다. 또한 실험실내 일간정밀도는 11%이하로 조사되어, 식품의약품안 전평가원의 ‘식품등 시험법 마련 표준절차에 관한 가이드라 인(2016)’에 적합한 수준임을 확인하였다. 따라서 본 연구에 서 개발한 시험법은 식용유지의 잔류농약 안전관리를 위한 시험법으로 활용이 가능할 것으로 기대된다.

The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.