Writing conferences are one-on-one feedback sessions that enable teachers and students to engage in constructive interactions to improve students’ writing. While interacting individually, a teacher can use various feedback strategies to improve the quality of a student’s writing. This study examined how a secondary English teacher elicited students’ self-correction of writing issues during EFL writing conferences conducted in Korean (L1) as part of an after-school English program at a Korean high school. One English teacher and five first-year students participated in writing classes for two weeks during the winter vacation. Their conversations were video-recorded and analyzed using Conversation Analysis. Findings revealed that the teacher elicited the student’s selfcorrection through four key strategies: (1) metalinguistic clues, (2) building on initial corrections, (3) leveraging morphological knowledge, and (4) guiding students through a stepwise construction of sentence elements. This study can enhance our understanding of corrective feedback in secondary EFL writing conferences and offer insights for improving teacher-student feedback interactions.

This study used an in-house beta version code, developed on the Microsoft® Excel platform and based on the Regulatory Guide 1.109 model, for radiation dose calculations. The results were compared with those of NRCDose3 Code Version 1.1.4. Although most results were compatible, five significant discrepancies were identified. First, potential errors in the effective dose for 3H inhalation and ingestion were due to inadequate incorporation of dose coefficients based on chemical forms or absorption types in the GASPAR module. Second, potential errors in 14C effective doses resulted from incorrect application of age-specific consumption values and dose coefficients. Third, potential errors for 131I inhalation doses occurred due to inadequate consideration of dose coefficients for chemical form or absorption type in the GASPAR. Fourth, potential errors in equivalent dose for radionuclides (e.g., 60Co and 131I) were caused by inconsistencies in the ordering of organs or tissues in dose coefficients and output files. Fifth, in the LADTAP module, when “Salt water” was selected and the International Commission on Radiological Protection Publication 72 was applied, liquid effluent doses were incorrectly output for only three age groups instead of six. This study analyzes these errors and proposes interim corrective measures to ensure accuracy pending software revisions.

이 논문은 영화 시나리오 작성 방법의 오류와 이에 대한 수정을 연구 의 내용으로 다루고 있다. 또한, 창작 과정에서의 구체적 오류를 제시하 고 수정의 방향 역시 함께 기술하는 데 목적이 있으며 연구의 결과는 다 음과 같다. 이야기 내부에서의 오류는 장소와 인물의 표현과 관련된 오 류, 문학적 표현과 기술되어야 할 대사의 생략 등이 있다. 이러한 오류를 수정하기 위해서는 보편적으로 알 수 있는 장소로의 기술, 장소 내부에 서 정확한 공간을 특정해 슬러그 라인을 기술, 장소에 등장하는 풍경에 관한 기술이 병행되어야 한다. 그리고 인물의 성별이나 나이대에 관한 기술, 인물에게 일어난 상황에 따라 인물의 옷차림, 소지품, 현재 있는 공간에 대한 묘사, 구체적인 행동이나 시선 처리, 인물의 감정적 반응을 지문에 포함하는 것이 필요하다. 다음으로 이야기 외적인 부분의 오류는 시나리오에 과도한 기술적 표현 사용, 장면, 지문, 대사의 부적절한 구 분, 시나리오 읽기를 방해하는 기술 방법, 작품의 신뢰를 하락시킬 수 있 는 요인들에 관한 것이다. 이에 대한 오류의 수정 방법은 꼭 필요하지 않은 기술적 표현과 아이디어와 제작 준비 과정에 대한 메모 삭제, 정밀 한 지문 묘사 등이 있다. 그리고 내부의 공간들을 분리하여 하나의 장면 에 하나의 공간만 기술, 각각의 위치에 맞게 적절히 지문과 대사가 작성 되어야 한다. 또한, 슬러그 라인, 지문, 인물의 대사 라인을 구분하여 띄 우고, 인물과 대사 사이의 간격을 확보해야 한다.

This study investigates the effectiveness of self-correction in improving lexical stress placement among Korean English learners, a critical yet challenging feature for speakers of Korean, which lacks lexical stress contrasts. Grounded in Schmidt’s (1990) Noticing Hypothesis, the research compares the benefits of self-correction— where learners reflect on and correct their own pronunciation errors —with the shadowing technique. Forty-seven college students participated, with an experimental group practicing self-correction and a control group engaged in shadowing. Pre- and post-test analyses revealed that the self-correction group demonstrated significantly greater improvement, particularly with trisyllabic and tetrasyllabic words, while the shadowing group showed minimal change. These findings highlight self-correction’s role in promoting learner engagement, error awareness, and deeper cognitive processing, offering practical implications for pronunciation instruction that emphasizes learner autonomy and focused attention.

본 논문에서는 마스크 설계에 다양한 위상 최적설계 기법을 적용하고, 광학 근접 보정 성능을 비교한다. 포토리소그래피 공정 중 포토레지스트에 가해지는 빛의 간섭 효과를 보정하는 광학 근접 보정 기술은 반도체 품질을 결정하는 중요한 요소 중 하나이다. 전통 적인 광학 근접 보정 기술에서는 마스크의 일부 요소를 조정하며 보정 효과를 시뮬레이션과 실험으로 확인하면서 설계를 진행한다. 이러한 경험적 설계를 통해 최적의 마스크 형상을 얻는 데는 한계가 있기 때문에, 위상 최적화 기법을 이용한 마스크 설계의 필요성이 증가하고 있으며, 민감도 기반 알고리듬을 이용한 위상 최적설계가 진행되어 왔다. 본 논문에서는 이진 구조 위상 최적설계(TOBS)와 새롭게 고안한 완화된 이진 구조 위상 최적설계(Continuated TOBS)를 이용하여 기존 최적설계와 비교하고, 더 발전된 최적설계 방향 을 제시한다.

Full spectrum fitting is a powerful tool for estimating the stellar populations of galaxies, but the fitting results are often significantly influenced by internal dust attenuation. For understanding howthe choice of the internal dust correction method affects the detailed stellar populations estimated from the full spectrum fitting, we analyze the Sydney-Australian Astronomical Observatory Multiobject Integral field spectrograph (SAMI) galaxy survey data using the Penalized PiXel-Fitting (PPXF) package. Three choices are compared: (Choice-1) using the PPXF reddening option, (Choice-2) using the multiplicative Legendre polynomial, and (Choice-3) using none of them (no dust correction). In any case, the total mean stellar populations show reasonable mass-age and mass-metallicity relations (MTR and MZR), although the correlations appear to be strongest for Choice-1 (MTR) and Choice-2 (MZR). Whenwe compare the age-divided mean stellar populations, theMZRof young (<109.5 yr ≈ 3.2 Gyr) stellar components in Choice-2 is consistent with the gas-phase MZR, whereas those in the other two choices hardly are. On the other hand, the MTR of old (≥109.5 yr) stellar components in Choice-1 seems to be more reasonable than that in Choice-2, because the old stellar components in low-mass galaxies tend to be relatively younger than those in massive galaxies. Based on the results, we provide empirical guidelines for choosing the optimal options for dust correction.

Concrete is the primary building material for nuclear facilities, making it one of the most common forms of radioactive waste generated when decommissioning a nuclear facility. Of the total waste generated at the Connecticut Yankee and Maine Yankee nuclear power plants in the United States, concrete waste accounts for 83.5% of the total for Connecticut Yankee and 52% for Maine Yankee. In order to dispose of the low- to medium-level radioactive concrete waste generated during the decommissioning of nuclear power plants, it is necessary to analyze the radioactivity concentration of gamma nuclides such as Co-58, Co-60, Cs-137, and Ce-144. Gamma-ray spectroscopy is commonly used method to measure the radioactivity concentration of gamma nuclides in the radioactive waste; however, due to the nature of gamma detectors, gamma rays from sequentially decaying nuclides such as Co-60 or Y-88 are subject to True Coincidence Summing (TCS). TCS reduces the Full Energy Peak Efficiency (FEPE) of specific gamma ray and it can cause underestimation of radioactivity concentration. Therefor the TCS effect must be compensated for in order to accurately assess the radioactivity of the sample. In addition, samples with high density and large volume will experience a certain level of self-shielding effect of gamma rays, so this must also be compensated for. The Radioactive Waste Chemical Analysis Center at the Korea Atomic Energy Research Institute performs nuclide analysis for the final disposal of low- and intermediate-level concrete waste. Since a large number of samples must be analyzed within the facility, the analytical method must simultaneously satisfy accuracy and speed. In this study, we report on the results of evaluating the accuracy of the radioactivity concentration correction by applying an efficiency transfer method that appears to satisfy these requirements to concrete standard reference material.

In this study, we examined dimensional changes in processing carbon fiber composites using a cost-competitive domestic high-speed router. Lacking temperature compensation features found in typical machines, it faces increased defect rates due to temperature fluctuations during processing. To mitigate this, we defined specific processing temperature conditions, established hole positions as distance references for various temperatures, and measured dimensional changes. This enabled us to calculate necessary dimensional corrections, minimizing thermal deformation.

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.