본 연구는 Q방법론을 적용하여 사회복지학에서의 융합교육의 전망에 관한 실증적 연구이다. 심층면접과 문헌연구를 통해 Q표본 38개를 선정 하고. 사회복지학 전공교수, 현장전문가, 융합연구경험이 있는 전문가 등 23명을 대상으로 Q분류를 실시하였다. QUANL 프로그램으로 자료를 분 석하여 3개 요인으이 추출되었고, 전체 변량의 49.24%를 설명한다. 3개 요인은 융합교육이 추구하는 인재상, 교육에서의 강조점, 시기성을 핵심 요인으로 하여 총 6개 유형으로 세분화하여 해석하였다. 구체적으로 인 재상(요인1)에 따라 디지로그형과 학습자주도형, 교육에서의 초점(요인2) 에 따라 핵심역량강조형과 교육방안강조형, 시기성(요인3)에 따라 융합교 육보류형과 융합교육현재실행형으로 구분할 수 있다. 각 유형의 특성을 분석하여 사회복지학에서의 ICT 융합교육에 대한 인식유형을 밝혔으며, 연구결과를 기반으로 함의를 제시하였다.

This study was conducted to analyze the effects of stand density on fire fuel (FF) changes in a Chamaecyparis obtusa forest. The study site was located in Mt. Munsu in Jeollabuk-do and consisted of a control, 30% thinning treatment (LT), and 50% thinning treatment (HT). Three-year-old seedlings were planted at a density of 3,000 trees ha-1 in 1976, and thinning was carried out in 2000. FF production was measured every 2 months by installing 3 circular litter traps 1.2 m above the ground. Litter bags containing 5 g of each leaf and branch were made and buried in the organic layer to investigate the FF decomposition rate. The decay constant was calculated after 18 months. FF accumulation was measured by collecting dry-weight organic matter from each plot using a square frame (0.09 m2) in September 2018. The FF production in LT and HT was significantly lower than that of the control (P<0.001). The leaf decay constant for HT was significantly lower than that of the control (P<0.05). The FF accumulation in HT was significantly lower than that of the control (P<0.01), but LT was not significantly different from the control. The results of this study showed that thinning decreased FF production.

Currently, there is no definitive regulation for the appropriate frequency of data sampling in water distribution networks, yet it plays a crucial role in the efficient operation of these systems. This study proposes a new methodology for determining the optimal frequency of data acquisition in water distribution networks. Based on the decomposition of signals using harmonic series, this methodology has been validated using actual data from water distribution networks. By analyzing 12 types of data collected from two points, it was demonstrated that utilizing the factors and cumulative periodograms of harmonic series enables similar accuracy at lower data acquisition frequencies compared to the original signals.

Tomato is one of the major widely cultivated crops around the world. The leaf area is directly related to the total amount of photosynthesis, which affects the yield and quality of the fruit. Traditional methods of measuring the leaf area are time-consuming and can cause damage to the leaves. To address these problems, various studies are being conducted for measuring the leaf area. In this study, we introduced a model to estimate the leaf area using images of tomatoes. Using images captured by a camera, we measured the leaf length and width and used linear regression analysis to derive the leaf area estimation formula. Furthermore, we used a Neural Network (NN) for additional analysis to compare the accuracy of the models. Initially, to verify the reliability of the image data, we conducted a correlation analysis between the actual measurement data and the image data, which showed a high positive correlation. The leaf area estimation model presented 23 estimation formulas. We used regression analysis to estimate the coefficients of each model and also used employed an artificial neural network analysis to derive high R-squared (R2) values and low Root Mean Square Error (RMSE) values. Among the estimation formulas, the ninth model showed the highest reliability with an R-squared value of 0.863. We conducted a verification experiment to confirm the accuracy of the selected model, and the R-squared value was 0.925. This study confirmed the reliability of data measured from images and the reliability of the leaf area estimation model using image data. These methods are expected to be an important tool in agriculture, using imaging equipment for measuring and monitoring the crop growth.

The grassland section of the greenhouse gas inventory has limitations due to a lack of review and verification of biomass compared to organic carbon in soil while grassland is considered one of the carbon storages in terrestrial ecosystems. Considering the situation at internal and external where the calculation of greenhouse gas inventory is being upgraded to a method with higher scientific accuracy, research on standards and methods for calculating carbon accumulation of grassland biomass is required. The purpose of this study was to identify international trends in the calculation method of the grassland biomass sector that meets the Tier 2 method and to conduct a review of variables applicable to the Republic of Korea. Identify the estimation methods and access levels for grassland biomass through the National Inventory Report in the United Nations Framework Convention on Climate Change and type the main implications derived from overseas cases. And, a field survey was conducted on 28 grasslands in the Republic of Korea to analyse the applicability of major issues. Four major international issues regarding grassland biomass were identified. 1) country-specific coefficients by land use; 2) calculations on woody plants; 3) loss and recovery due to wildfire; 4) amount of change by human activities. As a result of field surveys and analysis of activity data available domestically, it was found that there was a significant difference in the amount of carbon in biomass according to use type classification and climate zone-soil type classification. Therefore, in order to create an inventory of grassland biomass at the Tier 2 level, a policy and institutional system for making activity data should develop country-specific coefficients for climate zones and soil types.

This experiment investigated the effects of feed additives of Sasa quelpaertensis Nakai (SQN) extract on Landrace pigs on economic traits such as the quality, physiological characteristics, and productivity. Sixteen pigs with an average age of 154 days were selected as experimental subjects. The experiment was conducted by dividing the group into eight pigs for the supplementation group, feeding with SQN extract, and another eight for the control group feeding without SQN extract. Water was fed ad libitum. On the 30th day, there was no significant difference between meat quality and productivity. However, the glucose and thyroxine were statistically lower with the supplementation group than with the control group (p<0.05). Also, the levels of creatinine difference between 1.18 ± 0.12 ㎎/㎗ with the supplementation group and 0.70 ± 0.06 ㎎/㎗ with the control group (p<0.05). However, all serum biochemistry values were within a normal range, with no health problems. The present study will help solve the problem of reducing the diversity of plant species in Halla Mountain by increasing the availability of the SQN as a pig feed additive.

체원은 고려 후기 화엄교단에서 주도적인 역할을 담당했던 승려로 신라 의상 (義相)의 「백화도량발원문」이 그의 『백화도량발원문약해』를 통해 세상에 알려 졌다. 간략한 해석이라는 뜻의 『약해(略解)』는 「백화도량발원문」의 주석서로 체원의 해설을 통해 의상의 관음신앙을 살펴볼 수 있으며, 체원이 어떻게 이해 하고 풀어내고 있는지를 살펴봄으로써 발원문에 대한 체원의 이해에도 접근할 수 있다. 『약해』는 총 20장으로 이루어져 있으며 크게 서론과 본론으로 나눌 수 있다. 체원은 서론에서는 최치원의 「의상본전(義相本傳)」을 인용하여 의상 의 전기(傳記)를 소개하였고, 본론에서는 「백화도량발원문」이라는 제목과 본문 을 해설하였다. 이 글에서는 제목과 본문에서 귀의에 해당하는 발원문의 앞부 분을 살펴볼 것이다. 발원문에서는 제목에서 볼 수 있듯이 관세음보살의 주처 (住處)인 ‘백화도량’을 발원자가 귀의하는 대상으로 삼고 있다. 의상(義相)은 관 음(觀音)의 대원경지와(大圓鏡智)와 제자의 성정본각(性靜本覺)을 먼저 관(觀) 함으로써 성인과 범부가 비록 의보(依報)와 정보(正報)는 같지 않지만 하나의 대원경(大圓鏡)을 벗어나지 않는다고 말한다. 이때의 관(觀)은 관하는 주체의 지혜로서 망상과 집착을 여의고 허공과 같이 청정하여 걸림이 없는 경지로 ‘지 (止)’의 실천을 포함한 지혜이다. 이러한 진관(眞觀)으로 관(觀)하면 관음의 대 원경지와 제자의 성정본각은 성기법성(性起法性)이어서 서로 통하는 것이다. 따라서 스승[관음]과 제자[의상]는 각자의 자리를 움직이지 않고서도 융섭하여 하나가 되므로 귀의의 대상과 귀의의 주체라고 할 것도 없어지게 되는 것이다. 결론부터 말하자면 체원이 바라본 관음은 백화도량에서 머물며 대비행 법문을 설해 중생을 구제하고 보살도를 행하는 분이 아니다. 발원을 하는 범부인 제자 또한 관음과 다르지 않은 것이다.

본 연구는 낙지의 생식생태 이해에 필요한 수컷 생식기관과 정포의 미세해부학적 구조를 기재 하였다. 낙지는 교접완의 유무를 통하여 성을 구별할 수 있는 성적이형을 갖는 종이다. 수컷 생 식기관은 정소, 일차수정관, 저정낭, 이차수정관, 정포선, 정포낭으로 구성된다. 정소는 조직학 적으로 정세관형이었으며, 수컷 생식세포들은 층상배열상을 보였다. 일차수정관은 정소와 저정 낭을 연결하는 관으로 상피층과 결합조직으로 이루어져 있었다. 저정낭은 일차수정관과 이차 수정관의 사이에 위치하며, 상피층은 상피세포와 점액세포로 구성된다. 점액세포는 AB-PAS (pH 2.5) 반응에서 푸른색, AF-AB (pH 2.5) 반응에서 보라색으로 반응하였다. 이차수정관은 저정낭 과 정포선을 연결하는 짧은 관으로 내강에 주름이 발달하였다. 정포선은 다수의 관상선으로 이루어져 있었으며, 분비세포는 호산성 과립을 가지고 있었다. 정포낭은 주머니 모양으로 내강 에 주름이 발달하였으며, 상피층에 공포상의 분비세포가 존재하였다. 정포는 길이 약 83.5 mm 로 전방부의 당김사, 중간부의 발사체와 고정체, 후방부의 정자 저장부로 구성되어 있었다.

본 연구는 생리적, 환경적 변화에 따른 명태 Gadus chalcogrammus 피부계의 변화 연구를 위 한 기초 연구로서 피부계의 구조, 구성 세포 종류 및 조직화학적 특징을 기재하였다. 측선은 전반부가 완만한 곡선형이었으며, 중반부터 후반부까지는 직선으로 나타났다. 피부는 상피층과 진피층으로 구성되며, 상피층은 다층으로 상피세포, 점액세포, 곤봉세포로 이루어져 있다. 상피 세포는 표면층의 편평형 세포, 중간층의 입방형 세포, 기저층의 원주형 세포로 구성된다. 상피 층의 두께는 122.9 μm, 체장에 대한 상피층의 두께 비율은 0.03%였다. 단세포선인 점액세포와 곤봉세포는 주로 상피층의 표면층과 중간층에 분포하며, 점액세포는 산성 당단백질의 점액물 질을 함유하고 있었다. 상피층에서 점액세포와 곤봉세포의 분포비율은 각각 21.3 (± 7.0.)%와 4.0 (± 1.0)%였다. 진피층은 치밀결합조직으로 주로 콜라겐 섬유로 구성되며, 섬유세포, 혈관, 색소포, 비늘이 관찰되었다.

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies – Bitcoin, Ethereum, Litecoin, and EOS – and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies – AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet – representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning- based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

The aim of this study was to prepare rice straw silage using cabbage by-product and persimmon peel which are agricultural by-products produced during the same season in Korea. The treatments comprised a commercial corn silage as the control and four rice straw silages (P15-1, P15-2, P30-1, and P30-2) with different levels of persimmon peel supplementation (15%, 30%) and ensiled periods (1 or 2 months). The cabbage by-products were used to adjust silage moisture (approximately 65%). The quality of the experimental silages was evaluated based on organic acid content, palatability to three Holstein dairy cows, and manufacturing cost. In the corn silage, all chemical compositions, except total digestible nutrients and levels of lactic and butyric acids, were significantly (p<0.05) higher than those of the rice straw silages. However, considering the quality analysis using Flieg's score, the rice straw silage supplemented with 30% persimmon peel ensiled for 2 months (P30-2) was estimated as second grade to corn silage, and was relatively better in palatability to dairy cows than the other rice straw silages, which were considered third grade. The manufacturing cost of rice straw silages using cabbage by-product and persimmon peel compared to that of corn silage was reduced by 28%. Consequently, to prepare rice straw silage adjusted to 65% moisture using only cabbage by-products without inoculant, 30% of persimmon peel, 10% of ground corn, and 2% of molasses as a sugar source should be ensiled for at least 2 months.

This research aims to investigate Park Kilyong’s architectural theory and critique of Gyeongseong (Seoul) buildings, expressed in his ‘Overview of Modern Buildings in Gyeongseong’ and ‘Critique of Gyeongseong Buildings’ (Samcheolli, Sept. and Oct. 1935); and ‘Architectural Form of the 100% Function’ and ‘The Modern and Architecture (1)-(4)’ (Dong-A Daily, 28 Jul. to 1 Aug. 1936). As a result, it is confirmed that Park had the functionalist theory of modern architecture, which suggests that Korean architects of the Japanese colonial period were accommodating the contemporary trend of world architecture. However, Park shows his fundamental limitations in the fact that the main content of his articles was a verbatim translation of two Japanese references (Kurata, 1927; Ishihara, 1929) without proper indications. Despite the limitations, his texts are still meaningful since he formed his own architectural theory on the basis of what he translated; and indeed his critique of Gyeongseong buildings, however simple, was based on the theory. This research makes a critical analysis of Park’s functionalist theory from both the 1930s’ and present points of view and compares his commentaries on Gyeongseong architecture with those by Ko Yu-seop (1932) and Hong Yunsick (1937), illustrating how Korea perceived architecture and modernism in 1930s.

Numerous factors contribute to the deterioration of reinforced concrete structures. Elevated temperatures significantly alter the composition of the concrete ingredients, consequently diminishing the concrete's strength properties. With the escalation of global CO2 levels, the carbonation of concrete structures has emerged as a critical challenge, substantially affecting concrete durability research. Assessing and predicting concrete degradation due to thermal effects and carbonation are crucial yet intricate tasks. To address this, multiple prediction models for concrete carbonation and compressive strength under thermal impact have been developed. This study employs seven machine learning algorithms—specifically, multiple linear regression, decision trees, random forest, support vector machines, k-nearest neighbors, artificial neural networks, and extreme gradient boosting algorithms—to formulate predictive models for concrete carbonation and thermal impact. Two distinct datasets, derived from reported experimental studies, were utilized for training these predictive models. Performance evaluation relied on metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analytical outcomes demonstrate that neural networks and extreme gradient boosting algorithms outshine the remaining five machine learning approaches, showcasing outstanding predictive performance for concrete carbonation and thermal effect modeling.

In this study, the seismic response characteristics of the three analysis model with or without TMD were investigated to find out the effective dome shape. The three analysis models are rib type, lattice type and geodesic type dome structure composed of space frame. The maximum vertical and horizontal displacements were evaluated at 1/4 point of the span by applying the resonance harmonic load and historical earthquake loads (El Centro, Kobe, Northridge earthquakes). The study of the effective TMD installation position for the dome structure shows that seismic response control was effective when eight TMDs were installed in all types of analysis model. The investigation of the efficiency of TMD according to dome shape presents that lattice dome and geodesic dome show excellent control performance, while rib dome shows different control performance depending on the historical seismic loads. Therefore, lattice and geodesic types are desirable for seismic response reduction using TMD compared to rib type.

As the demand for p-type semiconductors increases, much effort is being put into developing new p-type materials. This demand has led to the development of novel new p-type semiconductors that go beyond existing p-type semiconductors. Copper iodide (CuI) has recently received much attention due to its wide band gap, excellent optical and electrical properties, and low temperature synthesis. However, there are limits to its use as a semiconductor material for thin film transistor devices due to the uncontrolled generation of copper vacancies and excessive hole doping. In this work, p-type CuI semiconductors were fabricated using the chemical vapor deposition (CVD) process for thin-film transistor (TFT) applications. The vacuum process has advantages over conventional solution processes, including conformal coating, large area uniformity, easy thickness control and so on. CuI thin films were fabricated at various deposition temperatures from 150 to 250 °C The surface roughness root mean square (RMS) value, which is related to carrier transport, decreases with increasing deposition temperature. Hall effect measurements showed that all fabricated CuI films had p-type behavior and that the Hall mobility decreased with increasing deposition temperature. The CuI TFTs showed no clear on/off because of the high concentration of carriers. By adopting a Zn capping layer, carrier concentrations decreased, leading to clear on and off behavior. Finally, stability tests of the PBS and NBS showed a threshold voltage shift within ±1 V.

This study established optimal cookie conditions by varying the amount of modified starch treated with octenyl succinic anhydride (OSA). It also investigated the quality and digestion characteristics of the cookies produced. The moisture content increased as the amount of OSA-modified starch added to the cookies increased. As for cookie color brightness, the redness and yellowness decreased as the OSA-modified starch content increased. The spread factor and hardness of the cookies showed the most similar results for control and OSA: 20%. As the amount of OSA-modified starch added to cookies increased, RS tended to increase. It was found that OSA-modified starch cannot easily replace wheat flour completely and that the optimal amount of OSA-modified starch added to cookies is 20%. OSA-modified starch can be used not only as a cookie but also as a low-calorie food ingredient.

This study investigated the changes in the cyanogenic glycoside (CN-Glc) content of maesil chung (MC) prepared according to its preparation conditions (i.e., maesil part, sugar type, maesil-sugar mixing ratio, liquid separation) and sugaring-ripening period and the quality characteristics of their products finalized through filtration and heat treatment (85oC, 30 min) with the 6-month ripened MC. The CN-Glc content dramatically decreased when the maesil flesh, isomaltooligosaccharide, maesil:sugar ratio of 5:5, and liquid separation after the 4-month sugaring were applied to the MC production. The CN-Glc content decreased with the ripening period. There was no effect of filtration and heat treatment on the CN-Glc reduction of the MC product. The sugar type predominantly affected the soluble solid and total carbohydrate content of the MC products, and their contents increased in the order of high-fructose corn syrup > sucrose > isomaltooligosaccharide. The MC product at a maesil:sugar ratio of 6:4 exhibited the higher organic acid content. There was no direct association between the total polyphenolic compound content and the preparation conditions of the MC product. Overall, the use of maesil flesh as a maesil ingredient and more than 6-month ripening after liquid separation may be a pivotal factor in producing the cyanogenic glycoside-reduced maesil chung.

The objective of this study was to investigate changes in the cyanogenic glycoside (CN-Glc) content of apricot and plum chungs over the sugaring-ripening period and to evaluate their quality characteristics. The whole and flesh parts of the apricot and plum were mixed with sugar to a mixing ratio of 1:1 (w/w) to prepare their chungs, after which the fruit-sugar mixtures were stored for 13 months. The CN-Glc content dramatically increased within 3-4 months, reached the maximum, and gradually decreased over storage by 13 months. The apricot and plum chungs with seeds exhibited much higher CN-Glc contents than those without seeds. All chungs stored for 10 months were filtrated and treated for 30 min at 85oC to measure their quality characteristics. Similar soluble solid contents (53.4- 53.6oBx) were found in all chungs. The apricot and plum chungs without seeds exhibited the higher concentrations of total carbohydrate, organic acid, and total polyphenolic compounds than those with seeds. In addition, the color of the apricot and plum chungs without seeds was darker and deeper yellow than those with seeds. Overall, the apricot and plum flesh may be better for producing the stone fruit chungs with minimal CN-Glc content and better nutrition.

This study aimed to identify the actual catch situation of offshore dredge gear which is newly regulated in the legislation. It’s also conducted to identify the species composition, weight of the catch including the target species and incidental catches, and to provide the basic information necessary for the resource management of aquatic organisms caught by offshore dredge. During the investigation period (from September 2022 to May 2023), a total of 61 species appeared in the test operation sea of Boryeong, Chungcheongnam-do and Gunsan, Jeollabuk-do, with 31 species of fishes, 11 species of malacostraca, six species of gastropoda, five species of bivalvia, three species of cephalopoda, three species of asteroidea, one species each of asteroidea and holothuroidea appeared. According to the results of the test operation conducted in September and November 2022, the non-catch season of Atrina (Servatrina) pectinata, 1,203 shellfishes were caught out of 2,979 caught in number, showing a bycatch rate of 59.6%, and by weight, 157.9 kg of shellfish was caught out of the total catch of 448.4 kg, showing a bycatch rate of 64.8%. On the other hand, in February and May 2023, the catch season for Atrina (Servatrina) pectinata, 3,692 fishsells were caught out of the 4,232 catches in total, showing a bycatch rate of 12.8%, and by weight, 1,185.0 kg of shellfish was caught out of the total catch of 1,293.2 kg, showing an 8.3% bycatch rate.