In the present investigation, a new electrochemical sensor based on carbon paste electrode was applied to simultaneous determine the tramadol, olanzapine and acetaminophen for the first time. The CuO/reduced graphene nanoribbons (rGNR) nanocomposites and 1-ethyl 3-methyl imidazolinium chloride as ionic liquid (IL) were employed as modifiers. The electrooxidation of these drugs at the surface of the modified electrode was evaluated using cyclic voltammetry (CV), differential pulse voltammetry (DPV), electrochemical impedance spectroscopy (EIS) and chronoamperometry. Various techniques such as scanning electron microscopy (SEM) with energy dispersive X-Ray analysis (EDX), X-ray diffraction (XRD) and fourier-transform infrared spectroscopy (FTIR), were used to validate the structure of CuO-rGNR nanocomposites. This sensor displayed a superb electro catalytic oxidation activity and good sensitivity. Under optimized conditions, the results showed the linear in the concentration range of 0.08–900 μM and detection limit (LOD) was achieved to be 0.05 μM. The suggested technique was effectively used to the determination of tramadol in pharmaceuticals and human serum samples. For the first time, the present study demonstrated the synthesis and utilization of the porous nanocomposites to make a unique and sensitive electrode and ionic liquid for electrode modification to co-measurement of these drugs.

수소는 다양한 신재생에너지 중 환경친화적인 에너지로 각광받고 있지만 농업에 적용된 사례는 드물다. 본 연구는 수소 연료전지 삼중 열병합 시스템을 온실에 적용하여 에너지를 절 약하고 온실가스를 줄이고자 한다. 이 시스템은 배출된 열을 회수하면서 수소로부터 난방, 냉각 및 전기를 생산할 수 있다. 수소 연료 전지 삼중 열 병합 시스템을 온실에 적용하기 위해 서는 온실의 냉난방 부하 분석이 필요하다. 이를 위해서는 온 실의 형태, 냉난방 시스템, 작물 등을 고려해야 한다. 따라서 본 연구에서는 건물 에너지 시뮬레이션(BES)을 활용하여 냉 난방 부하를 추정하고자 한다. 전주지역의 토마토를 재배하 는 반밀폐형 온실을 대상으로 2012년부터 2021년까지의 기 상데이터를 수집하여 분석했다. 온실 설계도를 참고하여 피 복재와 골조를 모델화하여 작물 에너지와 토양 에너지 교환을 실시했다. 건물 에너지 시뮬레이션의 유효성을 검증하기 위 해 작물의 유무에 의한 분석, 정적 에너지 및 동적 에너지 분석 을 실시했다. 또한 월별 최대 냉난방 부하 분석에 의해 평균 최 대 난방 용량 449,578kJ·h-1, 냉방 용량 431,187kJ·h-1이 산정 되었다.

한국에서 알스트로메리아(Alstroemeria)는 저온 작물로 난 방비 절감 효과가 있고 장식용 절화 소재로 꾸준히 소비되어, 일정 재배면적이 유지되고 있다. 본 연구는 알스트로메리아 ‘한에로스’의 기내 대량증식과 뿌리 발근 조건을 구명하고 무 균묘 생산 시스템을 구축하기 위해 수행했다. 기내 대량 증식 조건 구명 실험에는 Murashige and Skoog(MS) 배지(3% sucrose, 0.25% gelrite)에 BA 단용 처리(BA 0.25, 0.5, 0.75mg･L-1)와 NAA 0.2mg･L-1에 BA를 농도(BA 0.25, 0.5, 0.75mg･L-1)에 따라 혼용 처리하였다. 발근 조건 구명을 위 해 MS배지(3% sucrose, 0.25% gelrite)에 BA 0.25 mg･L-1 단용 처리와 BA 0.25mg･L-1에 NAA를 농도(NAA 0.1, 0.2, 0.3mg･L-1)에 따라 혼용 처리하였다. 뿌리줄기 증식 실험 결 과, 호르몬 첨가에 따른 생육차이는 뿌리줄기 수를 제외한 나 머지 부분에서 뚜렷하게 확인되었다. 단용 처리구 보다 혼용 처리구에서 많은 신초가 유도되었다. BA 0.5mg･L-1와 NAA 0.2mg･L-1 혼용 배지에서 가장 많은 1.43개의 신초가 유도되 었다. 발근 실험 결과, ‘한에로스’는 BA 0.25mg･L-1 와 NAA 0.3mg･L-1 혼용 배지에서 뿌리 수가 3.96개로 가장 많고, 뿌 리가 짧고 두꺼워 순화 과정 중에 뿌리 손실이 적었다. 또한, 순화 과정 중 묘가 고사하지 않았다. 종합적으로, ‘한에로스’ 는 BA 0.5mg･L-1와 NAA0.2 mg･L-1 혼용 배지에서 증식을 하는 것이 적절하며, BA 0.25mg･L-1와 NAA 0.3mg･L-1 혼 용 배지에서 발근 후 순화하는 것이 최적의 기내 배양 조건으 로 사료된다. 본 연구의 결과로 알스트로메리아 무균묘의 보 급 확대에 기여하고자 한다.

This study investigated the role of competition in academic settings by conceptualizing competitive engagement and examining how competition self-efficacy defined as confidence in one’s ability to outperform others could mediate learner engagement and self-determination to learn English as a foreign language (EFL). Within the context of a videoconference EFL course, a cross-sectional research design was employed during the fourth semester of remote teaching in South Korea due to COVID-19. Statistically significant relationships existed among variables. Students reported high levels of cognitive and behavioral engagement but low levels of competitive engagement. Through structural modeling, competitive engagement emerged as a conceptually unique form of engagement. The relationship between competitive engagement and selfdetermination to learn English when attending an EFL videoconference course was fully mediated by competition self-efficacy. Partial mediation was observed in the relationship between cognitive engagement and self-determination. These findings suggest that both competitive and cognitive engagement are powerful indicators of learning outcomes, especially when learning EFL.

한 척의 선박을 건조하기 위해서는 다양한 크기의 블록(block)들을 이동 및 탑재해야 한다. 이러한 과정에서 블록의 체결 방법 및 각 조선소 설비 특성에 맞는 다양한 기능에 부합하는 러그를 사용하고 있다. 블록 구조의 중량 및 형태에 따라서 러그의 크기와 형상이 다양하며, 샤클(shackle)이 체결되는 홀 주변에 부족한 강성을 보완하기 위하여 덧판(doubling pad)을 용접하여 구조를 보강한다. 리프팅 (lifting) 조건별 러그의 설계를 하는 방법은 보 이론(beam theory)에 의한 수계산 방법과 유한요소해석 모델링을 이용한 구조해석을 수행하고 있다. 해석적 방법의 경우, 요소의 종류와 모델링 방법에 따라서 결과 차이가 발생하여 표준화된 평가법의 정립이 필요한 상황이다. 이러한 모호한 방법론 적용 시 블록의 이동 및 반전(turn-over) 과정 중에서 심각한 안전 문제를 유발할 가능성이 있다. 본 연구에서는 러그의 실제 탑재공정에 따른 구조 응답을 평가할 수 있는 모델링 조건, 평가법을 확정하고자 다양한 변수의 영향을 수치 구조해석을 통하여 비교 및 분석하였다. 러그 홀(hole) 주변 덧판부와 용접 비드(bead)를 표현한 모델링 기법이 가장 실제적인 거동 결과를 주고 있다. 실제 러그와 동일 한 조건(용접부 비드만 주재료와 연결)의 모델링에 등가하중을 적용한 결과는 MPC 하중 적용 결과보다 낮은 최종강도를 나타낸다. 더불어 해석 시간 단축을 위해서 2차원 쉘(shell) 요소를 적용한 경우, 덧판 두께를 85% 수준으로 감소시켜서 안전사용하중을 예측할 수 있음을 확 인하였다. 논문에서 검토한 다양한 변수의 영향들 결과는 러그 설계 및 안전사용하중 예측에 근거 자료로 활용될 것으로 기대된다.

This study assessed the measurement technique of odorous substances using a GC/MOS system with MOS sensor at the detector and the method detection limits were determined for odorous substances such as hydrogen sulfide, acetaldehyde, toluene, m,pxylene, and o-xylene. The portable GC/MOS system was able to separate and measure about 16 out of 22 odorous substances including sulfur compounds, aldehydes, and VOCs. The peak values for hydrogen sulfide, acetaldehyde, toluene, m,p-xylene, and o-xylene showed a nonlinear relationship with concentration and a correlation coefficient of 0.95 or higher was confirmed. The method detection limits for hydrogen sulfide, acetaldehyde, toluene, m.pxylene, and o-xylene using the portable GC/MOS system were determined to be 0.005, 0.023, 0.016, 0.004, and 0.051 ppm, respectively. It is expected that the system can measure odor samples with concentrations of least 50 ppb without additional pretreatment or concentration processes.

Radioactive wastes, including used nuclear fuel and decommissioning wastes, have been treated using molten salts. Electrochemical sensors are one of the options for in-situ process monitoring using molten salts. However, in order to use electrochemical sensors in molten salt, the surface area must be known. This is because the surface area affects the current of the electrode. Previous studies have used a variety of methods to determine the electrode surface area in molten salts. One method of calculating the electrode surface area is to use the reduction current peak difference between electrodes with known length differences. The method is based on the reduction peak and has the benefit of providing long-term in-situ monitoring of surfaces immersed in molten salt. A number of assumptions have been made regarding this method, including that there is no mass transport by migration or convection; the reaction is reversible and limited by diffusion; the chemical activity of the deposit should be unity; and species should follow linear diffusion. For the purpose of overcoming these limitations, a variety of machine learning algorithms were applied to different voltammogram datasets in order to calculate the surface area. Voltammogram datasets were collected from multiarray electrodes, comprising a multiarray holder, two tungsten rods (1 mm diameter) working electrodes, a quasi-reference electrode, and a counter electrode. The multiarray electrode holder was connected to the auto vertical translator, which uses a servo motor, for changing the height of the rod in the molten salts. To make big and diverse data for training machine learning models, various concentrations of corrosion products (Cr, Fe) and fission products (Eu, Sm) in NaCl-MgCl2 eutectic salts were used as electrolyte; electrolyte temperatures were 500, 525, 550, 575, and 600°C. This study will demonstrate the potential of utilizing machine learning based electrochemical in situ monitoring in molten salt processing.

Low- and intermediate-level radioactive waste for permanent disposal often contains organic complexing agents, so-called chelating agents. Organic complexing agents, which are polycarboxylic acids, can increase the mobility of radionuclides into the environment by forming water-soluble complexes with most heavy metals. Therefore, analyzing the complexing agents in radioactive waste is crucial for comprehensive management of nuclear wastes. According to regulatory guidelines, specifically Notice No. 2021-16 issued by the Nuclear Safety and Security Commission, the determination of chelating agent content in radioactive waste materials is required to ensure proper management and safe disposal. However, only a few methods are available to analyze the chelators in various matrices such as concrete, metals, soil, and mixed solid wastes like plastics, vinyl, and rubber. Recently, we found a UV-Vis method based on an enzymatic reaction is inadequate for analyzing citric acid in radioactive waste with a complex matrix like concrete. To address this, we developed a method to determine the contents of EDTA and NTA using a UV-Vis spectrophotometer and citric acid using ion chromatography. The results showed good validity and reliability to determine the chelating agents in various radioactive wastes.

According to ISO 4037, the thickness of the inherent filtration for the radiation qualities L-40 to L- 240, N-40 to N-400, W-60 to W-300 and H-80 to H-400 shall be equivalent to 4 mm Al for matched reference radiation fields or adjusted as far as possible to 4 mm Al for characterized reference radiation fields. And for matched reference fields, the tube window must be made of beryllium and its thickness should not exceed 10 mm. In the case of characterized reference fields, the thickness of the beryllium window should not exceed 10 mm, but it is acceptable to use an aluminum window with a maximum thickness of 1.5 mm. 320 KV X-ray tube installed at KHNP-CRI has been designed to equipped with a 3 mm Be for tube window and an additional 4 mm Al to obtain a total inherent filtration equivalent to that of 4 mm Al. In the previous study, the inherent filtration of 320 kV X-ray tube at KHNP-CRI has been verified by MCNP simulation. However, the ISO standards suggest a method for determining the thickness of the inherent filtration by half-value layer (HVL) measurement and spectrometry. In this regard, the inherent filtration was reassessed using HVL measurement. To determine the inherent filtration, 1st HVL of the beam generated by the tube at a tube potential 60 kV was measured. The measurements were conducted with a calibrated spherical ionization chamber (model A3, Exradine) placed at a distance of 1 m from the target, at the center of the radiation field size. The X-ray tube current was set to 2 mA. The thickness of aluminum absorbers was gradually adjusted in subsequent measurements until approached the 1st HVL. 1st HVL were estimated using the linear regression equation computed with the current values for the thickness of the absorbers. As a results, the thickness of the 1st HVL was estimated as 2.845 mm Al. According to the correlation between the inherent filtration and 1st HVL suggested in ISO standard, the value of the inherent filtration was deduced as 4.25 mm Al that is rounded to the nearest 0.05 mm by interpolation. Further studies on the effects of the inherent filtration thickness determined in this study will be conducted.

In KAERI, a site descriptive model for stress field estimation had already been constructed by using integrated field data within KURT site scale. A sub-divided rock block domain containing major fracture zones has spatial rock mass and fault properties. The properties were decided based on the rock classification results of several borehole investigations. Modeling for maximum and minimum horizontal stress field estimation was performed and compared with the in-situ data. As a result, a depth-dependent stress ratio was adopted to obtain numerical results closer to actual in-situ data. Although the results were suitable at a relatively low depth (~500 m), there is still some deviation trend at a deep depth. This study aims to improve these modeling results by incorporating not only depth-dependent stress ratio but also changes in rock mass properties along the depth. The deep borehole of DB2 in the KURT site indicated fracture distribution corresponding to the property changes. Natural fractures are typically randomly oriented, and the fracture frequency decreases with increasing depth. The increase in P-wave velocity log data accompanies these features. A discrete fracture network (DFN) model can be used to simulate fractured rock explicitly, but DFN modeling is not feasible for site scale analysis because of its numerical efficiency. Therefore, as a preliminary model in this study, the effect of fracture distribution was considered by substituting the influence for the depth-dependent property. The properties were estimated from the fracture frequency and P-wave velocity log data. The influence of elastic modulus and density on the site stress field was dominant, with decreasing the deviation trend between modeling and in-situ data at a deep depth. Considering that the depth of the repository construction is within about 500 m, it may not be necessary to consider the change of rock properties with depth. However, it was determined that the rock property effect might need to be considered when the loading conditions change due to subsidence in the long-term evolution scenario. Continuously, this site descriptive modeling will be interdependently conducted with a representative DFN block model for deriving equivalent properties in fractured rock.

본 연구는 고등학생의 자기결정성 동기가 운동만족, 운동지속의도에 미치는 영향 관계를 분석 하는데 목적이 있다. 이를 위해 2022년 3월을 기준으로 서울, 경기지역의 고등학교에 재학 중인 남학생 440명을 대상으로 온라인 설문지를 배포하여 자기평가기입법을 통해 설문을 작성하도록 하였다. 같은 패 턴의 응답, 미완성된 응답 등 불성실한 응답자 94부를 제외한 346부를 유효 표본으로 선정하였다. 자료처 리는 SPSS 24.0와 IBM AMOS 18.0 통계 프로그램을 이용하여 빈도분석, 확인적요인분석, 상관관계분석 을 진행하였으며, 요인 간 구조적 관계를 파악하기 위하여 구조방정식모형 분석을 통해 다음과 같은 결과 를 도출하였다. 첫째, 자기결정성 동기 요인 중 유능성, 관계성은 운동만족에 정(+)의 영향을 주지만, 자율 성은 운동만족에 부(-)의 영향이 미치는 것으로 나타났다. 둘째, 고등학생의 자기결정성 동기와 운동지속 의도는 관련이 없는 것으로 나타났다. 셋째, 운동만족과 운동지속의도의 관계에서는 정(+)의 영향을 미치 는 것으로 나타났다.

The emergence of micropollutants in natural water sources due to the overuse of anthropogenic chemicals in industry and households has threatened the production of clean and safe tap water in drinking water treatment plants. Conventional physicochemical processes such as coagulation/flocculation followed by sand filtration are not effective for the control of micropollutants, whereas chemical oxidation processes (applying chlorine, permanganate, ozone, etc.) are known to be promising alternatives. Determining the optimum oxidant dose is important issue related to the production of disinfection by-products as well as unnecessary operating cost, and is made possible by simulations of target-micropollutant abatement based on kinetic model equation consisting of second-order rate constant (between the oxidant and the target) and oxidant exposure. However, the difficulty in determining oxidant exposure as a function of complex water quality parameters limits the field application of kinetic model equation. With respect to representative oxidants used in drinking water treatment plants, this article reviews two main approaches for determining oxidant exposure: i) direct measurement in situ and ii) prediction by empirical models based on key water quality parameters. In addition, we discussed research requirements to improve the predictive accuracy of the empirical models for oxidant exposure and to develop a rational algorithm to determine optimal oxidant dose by considering the priority of the target pollutants to be treated.

최근 한국 조선업계가 세계 선박 발주 물량의 대부분을 수주하고 있지만, 생산 현장에서는 인력난으로 생산공정 차질을 겪고 있다. 오랜 조선업 불황으로 일감과 임금 모두 줄어든 탓에 근로자들이 조선소를 떠났기 때문이다. 수주가 증가한 주요 요인은 카타르 LNG선 대량 발주였으며, 선박에 요구되는 기술 사양이 복잡해지는 상황도 유리하게 작용하고 있다. 선박은 계약한 인도 시점이 무엇보다 도 중요하기 때문에, 조선소의 주요 공정 중 도크 진수 계획이 무엇보다도 중요한 관리 아이템이다. 도크에서 건조되는 구조물은 의장 작 업을 남긴 선체 혹은 완성형 선박일 수 있으며, 때에 따라서 선체의 일부 블록 수준일 경우도 많다. 진수 시, 선체는 유체력에 의한 호깅 (hogging) 혹은 새깅(sagging) 모멘트 영향을 받게 되고, 블록 연결부의 구조강도에 대한 안전성 확보가 무엇보다도 중요하다. 정상적인 공 정이라면 연결 부재는 용접을 끝낸 상태에서 진수하지만, 실제 조선사에서는 도크 일정을 준수하기 위하여 구조 안전성이 확보되는 조건 에 대한 빠른 의사결정이 필요하다. 본 연구에서는 앞서 언급한 문제점들을 엔지니어링 관점에서 합리적으로 판단하기 위하여 휨 응력 평가법과 유한요소해석 모델링을 사용한 상세 해석법과 적용성을 분석하였다. 논문에서 언급된 주요 내용은 향후 유사 구조 강도 평가의 진행 시 좋은 사례로 활용될 수 있을 것으로 생각한다.

Recently, elevator inspection and self-examination were strengthened through the revision of the Elevator Safety Management Act, but there have been no significant reduction in serious accidents and major failures. Therefore, the government intends to lay the foundation for reflecting the safety quality rating system, which adjusts the elevator inspection cycle, as a policy to induce safety management of preemptive and active management entities. This study systematically reviewed and classified the safety quality rating system for elevator inspection cycle adjustment in previous studies, collected expert opinions, and reconstructed the key items into realistic evaluation items, and evaluated and scored the relative importance of each factor through the AHP technique.

플루옥사스트로빈은 Strobilurus 속의 버섯에서 추출한 천 연물을 기반으로 개발된 살균제로서 곰팡이성 질병 방제에 효과적이다. 잔류물의 정의는 유럽(EU), 미국(EPA), 일본 (JFCRF)에서는 플루옥사스트로빈과 플루옥사스트로빈 Z 이 성질체의 합으로 정의하고 있으며, 감자, 대두 등 90품목 에 대하여 0.01-60 mg/kg으로 잔류허용기준이 설정되어 있 다. 코덱스(CODEX)와 국내에는 잔류허용기준이 설정되어 있지 않음에 따라 본 연구에서는 추후 국내·외 수입 및 재 배 농산물 중 플루옥사스트로빈에 대한 잔류허용기준 준수 여부 확인을 위한 시험법을 개발하고자 하였다. 전처리 과 정은 플루옥사스트로빈의 물리·화학적 특성을 고려하여 QuEChERS법을 이용한 추출 및 정제방법으로 최적화하였 으며, LC-MS/MS를 이용하여 시험법을 개발하였다. 추출 용매는 아세토니트릴로 하고, MgSO4 및 PSA를 이용하여 정제과정을 확립하였다. 대표 농산물 5종에 대해 0.01, 0.1 및 0.5 mg/kg의 처리농도로 실험을 진행한 결과, 플루옥사 스트로빈 및 플루옥사스트로빈 Z 이성질체의 결정계수(R2) 는 0.998 이상이고 플루옥사스트로빈의 평균 회수율(n=5) 은 75.5-100.3%, 플루옥사스트로빈 Z 이성질체는 75.0- 103.9%이었다. 상대표준편차는 플루옥사스트로빈이 5.5% 이하, 플루옥사스트로빈 Z 이성질체가 4.3% 이하로 확인 되었다. 또한 시험법의 유효성을 확인하기 위해 외부 실험 기관인 광주지방식품의약품안전청과의 실험실간 검증을 진 행하였으며, 검증 결과 두 실험실간의 회수율은 플루옥사 스트로빈의 경우 80.3-101.4%, 플루옥사스트로빈 Z 이성질 체는 80.2-105.0%이었고, 상대표준편차는 모두 18.1% 이하 로 정확성 및 재현성이 우수함을 확인할 수 있었다. 따라 서 본 연구 결과는 CODEX 가이드라인(CAC/GL 40-1993, 2003) 및 식품의약품안전평가원의 가이드라인(MFDS, 2016) 에 만족함에 따라 공정시험법으로 활용 가능할 것이다.

This study aimed to investigate the impacts of extreme weather on the dry matter yield (DMY) of silage maize in South Korea. The maize data (n=3,041) were collected from various reports of the new variety of adaptability experiments by the Rural Development Administration (1978-2017). Eight weather variables were collected: mean temperature, low temperature, high temperature, maximum precipitation, accumulated precipitation, maximum wind speed, mean wind speed, and sunshine duration. These variables were calculated based on ten days within seeding to harvesting period. The box plot detected an outlier to distinguish extreme weather from normal weather. The difference in DMY between extreme and normal weather was determined using a t-test with a 5% significance level. As a result, outliers of high-extreme precipitation were observed in July and August. Low-extreme mean temperature was remarkable in middle May, middle June, and late July. Moreover, the difference in DMY between extreme and normal weather was greatest (5,597.76 kg/ha) during the maximum precipitation in early July. This indicates that the impact of heavy rainfall during the Korean monsoon season was fatal to the DMY of silage maize. However, in this study, the frequency of extreme weather was too low and should not be generalize. Thus, in the future, we plan to compare DMY with statistical simulations based on extreme distributions.

In this work, a nanocomposite containing gold (Au) nanofibers decorated iron-metal–organic framework (Fe-MOF) was successfully synthesized for electrochemical detection of acetaminophen (AAP). The as-synthesized Au@Fe-MOF nanocomposite was confirmed by various characterization techniques. Morphological analysis showed that the Au nanofibers with an average size of less than 10 nm were dispersed on the Fe-MOF. Cyclic voltammetric analysis showed that the Au@Fe-MOF nanocomposite showed well-defined redox peaks with higher current than that of GCE and Fe-MOF. The Au@Fe-MOF/ GCE exhibited a linear range, sensitivity, and detection limit of 0.5–18 μM, 4.95 μM/μA/cm2, and 0.12 μM, respectively. The Au@Fe-MOF/GCE showed a very low response for the interference materials. The real sample analysis revealed that the Au@Fe-MOF/GCE showed good recovery towards the AAP in urine and paracetamol. Therefore, the developed sensor can be used for quality control of AAP.