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.

Okadaic acid (OA) group toxins, including OA and its analogs, such as dinophysis toxins (DTXs), have been reported to cause diarrheal shellfish poisoning (DSP). These toxins are primarily produced by dinoflagellates and are accumulated in bivalves. Recently, the presence of Dinophysis sp., a causative alga of DSP, has been reported along the coasts of Korea, posing a potential risk of contamination to domestic seafood and exerting an impact on both the production and consumption of marine products. Accordingly, the European Food Safety Authority (EFSA) and the World Health Organization (WHO) have established standards for the permissible levels of OA group toxins in marine products for safety management. Additionally, in line with international initiatives, the domestic inclusion and regulation of DTX2 among the substances falling under the purview of management outlined by the 2022 diarrheal shellfish toxin standard have been implemented. In this study, we reviewed the physicochemical properties of OA group toxins, their various exposure routes (such as acute toxicity, genotoxicity, reproductive and developmental toxicity), and the relative toxicity factors associated with these toxins. We also performed a comparative assessment of the methods employed for toxin analysis across different countries. Furthermore, we aimed to conduct a broad review of human exposure cases and assess the international guideline for risk management of OA group toxins.

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.

막대한 예산이 투입되는 국가연구를 기획·관리·확산하는 연구관리 담당자들은 매우 중요한 인력이나, 역할에 관한 연구는 부족한 실정이다. 본 연구는 연구관리 전문기관 담당자에게 필요한 역량요소를 도출하고 역량의 중요도를 확인하고자 하였다. 이를 위해 4가 지 주요요인과 16개의 하위요인을 도출하였고, AHP 기법을 기반으로 설문조사(연구관리 담 당자와 연구자 90명 대상)를 추진하여 우선순위를 도출하였다. 전체 응답자 기준으로 역량의 중요도는 협력적 태도, 소통능력, 연구지식, 목표관리능력과 신의성실 순으로 확인되었으나, 담당자의 경우, 업무와 관련한 역량(규정지식, 판단능력, 정책지식)이 중요하다고 보는 반면, 연구자들의 경우 자신들을 보다 더 지원해 줄 수 있는 역량(협력적 태도, 소통능력)을 보다 더 중시하는 시각차를 볼 수 있었다. 이번 연구는 전문기관 연구관리 담당자의 채용과 역량 개발에 활용할 수 있을 것으로 사료된다.

Non-structural elements, such as equipment, are typically affixed to a building’s floor or ceiling and move in tandem with the structure during an earthquake. Seismic forces acting upon non-structural elements traverse the ground and the building’s structure. Considering this seismic load transmission mechanism, it becomes imperative to account for the interactions between soil, structure, and equipment, establishing seismic design procedures accordingly. In this study, a Soil-Structure-Equipment Interaction (SSEI) model is developed. Through seismic response analysis using this model, how the presence or absence of SSEI impacts equipment behavior is examined. Neglecting the SSEI aspect when assessing equipment responses results in an overly conservative evaluation of its seismic response. This emphasizes the necessity of proposing an analytical model and design methodology that adequately incorporate the interaction effect. Doing so enables the calculation of rational seismic forces and facilitates the seismic design of non-structural elements.

Determining the size or area of a plant's leaves is an important factor in predicting plant growth and improving the productivity of indoor farms. In this study, we developed a convolutional neural network (CNN)-based model to accurately predict the length and width of lettuce leaves using photographs of the leaves. A callback function was applied to overcome data limitations and overfitting problems, and K-fold cross-validation was used to improve the generalization ability of the model. In addition, ImageDataGenerator function was used to increase the diversity of training data through data augmentation. To compare model performance, we evaluated pre-trained models such as VGG16, Resnet152, and NASNetMobile. As a result, NASNetMobile showed the highest performance, especially in width prediction, with an R_squared value of 0.9436, and RMSE of 0.5659. In length prediction, the R_squared value was 0.9537, and RMSE of 0.8713. The optimized model adopted the NASNetMobile architecture, the RMSprop optimization tool, the MSE loss functions, and the ELU activation functions. The training time of the model averaged 73 minutes per Epoch, and it took the model an average of 0.29 seconds to process a single lettuce leaf photo. In this study, we developed a CNN-based model to predict the leaf length and leaf width of plants in indoor farms, which is expected to enable rapid and accurate assessment of plant growth status by simply taking images. It is also expected to contribute to increasing the productivity and resource efficiency of farms by taking appropriate agricultural measures such as adjusting nutrient solution in real time.

This study was aimed to determine the changes in CO2 concentration according to the temperatures of daytime and nighttime in the CO2 supplemental greenhouse, and to compare calculated supplementary CO2 concentration during winter and spring cultivation seasons. CO2 concentrations in experimental greenhouses were analyzed by selecting representative days with different average temperatures due to differences in integrated solar radiation at the growth stage of leaf area index (LAI) 2.0 during the winter season of 2022 and 2023 years. The CO2 concentration was 459, 299, 275, and 239 μmol·mol-1, respectively at 1, 2, 3, and 4 p.m. after the CO2 supplementary time (10:00-13:00) under the higher temperature (HT, > 18°C daytime temp. avg. 31.7, 26.8, 23.8, and 22.4°C, respectively), while it was 500, 368, 366, 364 μmol·mol-1, respectively under the lower temperature (LT, < 18°C daytime temp. avg. 22.0, 18.9, 15.0, and 13.7°C, respectively), indicating the CO2 reduction was significantly higher in the HT than that of LT. During the nighttime, the concentration of CO2 gradually increased from 6 p.m. (346 μmol·mol-1) to 3 a.m. (454 μmol·mol-1) in the HT with a rate of 11 μmol·mol-1 per hour (240 tomatoes, leaf area 330m2), while the increase was very lesser under the LT. During the spring season, the CO2 concentration measured just before the start of CO2 fertilization (7:30 a.m.) in the CO2 enrichment greenhouse was 3-4 times higher in the HT (>15°C nighttime temperature avg.) than that of LT (< 15°C nighttime temperature avg.), and the calculated amount of CO2 fertilization on the day was also lower in HT. All the integrated results indicate that CO2 concentrations during the nighttime varies depending on the temperature, and the increased CO2 is a major source of CO2 for photosynthesis after sunrise, and it is necessary to develop a model formula for CO2 supplement considering the nighttime CO2 concentration.

본 연구는 단기소득임산물 중 산림임업통계자료에 의한 생산량과 수요가 증가하고 있는 추세인 약용수 (꾸지뽕나무, 마가목, 헛개나무) 자생지를 대상으로 식물사회학적 방법에 의해 군락을 구분하여 식생 구조를 파악하고 Ordination CCA에 의한 군락구조와 환경요인의 상관관계를 분석하여 산채류 재배지 환경조성에 필요한 생태학적 기초자료를 제공하기 위하여 2021∼ 2022년에 수행되었다. 우리나라 꾸지뽕나무 자생지는 주로 남부지역에 분포하고 5개 지역, 11개 조사구를 대상으로 조사하였고, 마가목 자생지는 주로 고산지역에 분포하고 3개 지역, 8개 조사구를 대상으로 조사하였으며, 헛개나무 자생지는 중부 계곡부에 분포하고 5개 지역, 17개 조사구를 대상으로 조사하였다. 각 분류군의 중요치를 살펴보면, 꾸지뽕나무군락에서 나타난 중요치는 꾸지뽕나무가 61.10으로 가장 높았고 다음으로 팽나무, 곰솔, 새덕이, 때죽나무, 소사나무, 졸참나무, 상수리나무 등의 순으로 나타났고, 마가목군락에서는 신갈나무가 57.21로 가장 높았고 다음으로 마가목 42.58, 사스래나무, 피나무, 당단풍나무, 시닥나무, 층층나무, 함박꽃나무, 주목 등의 순으로 나타났으며, 헛개나무군락에서는 헛개나무가 64.58로 가장 높았고 다음으로 느티나무, 층층나무, 고로쇠나무, 졸참나무, 까치박달, 가래나무 등의 순으로 나타났다. 중요치가 높은 주요 분류군에 대한 흉고직경급을 분석한 결과 꾸지뽕나무군락에서는 꾸지뽕나무, 팽나무, 새덕이 및 소사나무는 어린 개체의 밀도를 높게 나타내고 있어 당분간은 이들 수종의 우점 상태가 계속 증가 될 것으로 보인다. 마가목군락에서 마가목은 역 J자형을 하고 있어 우점 상태가 계속 증가할 것으로 보이며, 신갈나무, 사스래나무 및 피나무는 정규분포형의 밀도를 나타내고 있어 당분간은 이들 수종의 우점 상태가 계속될 것으로 판단된다. 헛개나무군락에서는 까치박달과 가래나무는 역 J자형을 하고 있어 우점 상태가 계속 증가할 것으로 보이며, 헛개나무, 느티나무, 층층나무 및 고로쇠나무는 각 층에서 전체적으로 개체의 밀도가 높아 계속적으로 높은 우점도를 유지할 것으로 예상된다. TWINSPAN에 의해 분류된 3분류군의 30개 군락과 11개의 환경 요인으로 CCA ordination 결과, 해발고가 가장 높은 상관관계를 보였고, 꾸지뽕나무군락은 pH, C.E.C, Ca2+ 및 Mg2+ 는 가장 높고, 해발고는 낮고 남동사면과 남서사면의 경사는 완만하였으며, P2O5는 높은 지역과 낮은 지역에 골고루 분포하였다. 마가목군락은 해발고는 높고, 북사면의 경사는 다소 급하고, O.M과 T-N은 가장 많으나, 그 외 양료들은 적으며, pH는 낮게 나타났다. 헛개나무군락은 북동사면과 북서사면에서 해발고와 경사는 중간 지역이고, P2O5는 높게 나타났다.