At Pyropia farms, organic acid treatments have enhanced productivity and quality by removing pest algae (such as Ulva spp. and diatoms) and reducing the occurrence of diseases. Ulva spp. attaches to the Pyropia nets competing for inorganic nutrients & space and diminishing productivity. Additionally, the presence of attached contaminants (such as diatoms and middy particles) on the Pyropia nets negatively affects the quality of Pyropia. This study investigated the effects of removing Ulva linza and washing the Pyropia yezoensis nets using an activating treatment agent (organic acid and highly saline solution) with an air bubble device. The results of measuring the dead cell ratios after treatment under different conditions showed that the dead cell ratio of U. linza did not significantly increase when the air bubble device combined the activating treatment agent with the activating treatment agent alone. When washing the P. yezoensis nets, the air bubble device was about 19-37% more effective than the activating treatment agent alone. The findings of this study suggest that the air bubble device enhances the efficacy of the activating treatment agent, resulting in the effective cleaning of the Pyropia nets.

The aim of this study was to determine the quality characteristics of bread with 2%, 4%, 6%, and 8% cuttlefish ink added. The pH of the dough decreased as the addition percentage increased, and the addition of 8% was the lowest. The pH of the bread and the fermentation expansion power of the dough decreased as the addition percentage increased. Moisture and ash content were positively correlated with the addition percentage, and the crude protein and crude ash content were negatively correlated. As the addition percentage increased, the color of the bread became darker, and the bread volume decreased. The inside and outside color of the bread also decreased as the addition percentage increased. The volume and specific volume of bread decreased as the addition percentage increased. The amino acid analysis indicated glutamic acid was the largest, free amino acid analysis pointed out aspartic acid the highest. The springiness, cohesiveness, gumminess, brittleness, and hardness of the bread were positively correlated with the addition percentage. Overall, it seems possible to develop bakery items using cuttlefish ink as a functional ingredient.

To identify some significant phenotypic characteristics of maize(zea mays) seeds, we have obtained Red, Green, Blue(RGB) digital image data from 82 recombinant inbred lines. Based on the collected image data, their morphological and color data were analyzed, and seven significant parameters were selected, including area, perimeter, length, width, circularity, roundness, and surface texture. The extracted RGB data were converted into color hex codes to visualize the representative colors of the seeds. These visualized colors were categorized into six groups: gray, yellowish white, yellow, grayish orange, purple, and brown. The results of maize seed phenotypic analysis using the RGB digital images in this study will serve as a useful tool for constructing a database of seed phenotyping database and establishing a standardized classification system.

본 연구는 당대 최고의 시인이자 철학가와 비평가였던 엘리엇이 근대주의(Modernism)적 관점에서 쓴 ｢블레이크｣와 낭만주의 최고의 시인 예이츠가 편집한 󰡔윌리엄 블레이크의 선집󰡕의 서문과 소개문에서, 내용을 비교 분석하여, 블레이크의 상상력에 대한 새로운 이해를 시도한다. 이를 위하여 예이츠의 ｢재림｣(“The Second Coming”)에서 인간의 머리를 쓴 사자, 블레이크의 시 ｢호랑이｣(“The Tyger”), 엘리엇의 1920년 ｢블레이크｣와 같은 해에 쓴 ｢게론천｣(“Gerontion”)의 호랑이, 엘리엇이 개종 이후 1935년에 쓴 ｢어느 노인에 대한 시｣(“Lines for an Old Man”)에 등장하는 호랑이에 대한 비교를 통하여, 상상력과 예술가의 교육 환경과의 관계에 대하여 고찰한다.

Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational safety and reliability of the parcel loading system, a predictive maintenance platform was implemented based on the Naive Bayes-LSTM(Long Short Term Memory) model. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on a RabbitMQ, loading data in an InMemory method using a Redis, and managing snapshot DB in real time. Also, in this paper, as a verification of the Naive Bayes-LSTM predictive maintenance platform, the function of measuring the time for data collection/storage/processing and determining outliers/normal values was confirmed. The predictive maintenance platform can contribute to securing reliability and safety by identifying potential failures and defects that may occur in the operation of the parcel loading system in the future.

목적: 본 연구의 목적은 작업치료에서 과거와 비교하여 인지재활의 발전현황을 조사하고, 현재 인지평가와 인지중재에서 문제와 제도적 난제를 밝히며, 한국의 인지재활 발전을 위해 전략적 방향성을 제시하는 등 정책 제안을 도출하기 위함이다. 연구방법: 본 연구의 최초 조사대상자는 현재 작업치료 현장에서 직무수행을 하고 있고, 인지재활에 관심 있는 대한인지재활학회 정회원 3,448명을 선정하였다. 연구기간은 2022년 9월부터 2023년 2월까지 이루어졌 다. 이들 중 본 조사에 적극적으로 참여하여 성실하게 답변한 154명의 참가자가 최종 조사대상이다. 조사도구는 선행연구에서 인지재활 발전현황과 문제점 및 향후 발전방안을 델파이 조사를 통해 도출하고 타당성을 갖춘 104개 항목을 5점 리커트 척도로 정량화하여 사용하였다. 결과: 인지재활은 작업치료에서 지속적 발전을 거듭하였다. 법적으로 작업치료 업무범위로 보장을 받았고, 전문성 확보를 위한 전문 교육이 강화되었으며, 인지재활을 시행하는 기관과 치료사가 늘어났다. 그러나 작업수행 기반 인지재활 평가도구와 작업치료 시간 내 평가가능한 평가도구 개발이 필요하다. 제도적으로는 인지재활 의료보험 수가 확대와 인지재활 가이드라인 개발이 필요하다. 임상현장의 작업치료사들은 인지요소별 중재보다 작업수행 기반의 기능인지가 임상현장에서 실현되는 것이 필요하다고 인식하였다. 결론: 인지재활은 작업치료사의 주요 직무이고 지속적으로 발전하였다. 인지재활 발전을 위해 지난 과거부터 해결하지 못하고 난제로 남아있는 의료보험 수가 등의 제도 문제의 해결이 시급하다. 작업치료 현장의 발전을 위해서는 인지평가도구, 중재기술, 기능인지 중심 인지재활 적용 방법에 대한 연구가 필요하다.

The study aim was to develop and test the effects of integrated simulation pertaining to patients with schizophrenia using a hypertensive crisis module for nursing students. Methods: This pilot study with seven undergraduate nursing students used a single group, pre-post test design. Integrated simulation pertaining to patients with schizophrenia using a hypertensive crisis module was developed based on the ADDIE model (i.e., Analysis, Design, Development, Implementation, and Evaluation), expert meetings with subject professors, a literature review, a preliminary survey, and focus group interviews. Data were collected and measured for general characteristics of the study participants, critical thinking disposition, problem-solving, clinical judgment, self-efficacy, simulation design, and simulation effectiveness. Qualitative contents were analyzed through focus group interviews. Results: No statistically significant differences were found in class design, critical thinking disposition, problem-solving, clinical judgment, and self-efficacy after applying the integrated simulation module. Based on the data obtained from the focus group interviews of study participants, the following four categories were established: “Integrating knowledge and applying it to practice,” “Nursing in unexpected situations,” “Challenged to be an expert,” and “Ensuring receptive and psychological safety in simulation practice.” Conclusion: An integrated simulation module was developed to integrate the nursing problems associated with individual subjects beyond the scope of one subject, and the effect was verified by applying it

Purpose: This study describes and seeks to understand the experiences of Korean nurses at a specialty hospital in the United Arab Emirates. Methods: Data were collected from September 12 to October 12, 2023, through in-depth interviews with 10 Korean nurses who had worked at a specialty hospital in the Middle East for more than five years. Recorded interviews were transcribed verbatim. The data were analyzed using the qualitative thematic analysis method suggested by Braun and Clarke. Results: The analysis identified four themes and 10 sub-themes. The themes are as follows: “Job insecurity and a rapid change of employment conditions”, “Stress of a dual organizational culture”, “Confusion due to cultural differences”, and “Advantages and rewards of working abroad”. Conclusion: Korean hospitals expanding into the Middle East through international medical projects can utilize the information gleaned from Korean nurses' experiences at the United Arab Emirates Specialty Hospital.

인공지능은 4차 산업혁명의 프레임이 소개된 이후 점차 보편적인 기술로 자리를 잡아가고 있으며, 인공지능 관련 특허 출원도 크게 증가하고 있다. 최근에는 특허 생태계가 출원 건수 위주의 양적 경쟁에서 고품질의 특허 확보라는 질적 경쟁으로 패러다임이 변화되면서, 저품질 특허로 인한 비용 손실에 관심이 높아지고 있다. 이러한 배경으로 본 연구에서는 머신러닝과 Doc2Vec 알고리즘을 활용하여 특허 품질을 예측하는 방법을 제안하고자 한다. 본 연구를 위해 WIPO에서 정의한 CPC 코드를 활용하여 미국 특허청(USPTO)에 등록된 인공지능 관련 특허 데이터를 추출하였고, 이를 통해 정형 데이터 기반 19개 변수, 비정형 데이터 기반 7개 변수를 개발하였다. 특히, 새롭게 제안하는 Doc2Vec 알고리즘을 이용한 제목과 초록 텍스트 유사도 변수는 고품질 특허를 예측하는데 영향을 미칠 것으로 판단된다. 이에 유사도 변수의 효과를 확인하기 위해 유사도 변수를 포함한 앙상블 기반 머신러닝 모델과 포함하지 않은 모델을 개발하여 비교하였다. 실험 결과, 유사도 변수를 포함한 모델이 AUC 0.013, f1-score 0.025가 높게 나타나 더 우수한 성능을 보였다. 이는 유사도 변수가 고품질 특허 예측에 기여한다는 것을 시사한다. 또한, SHAP을 이용하여 블랙박스 형태의 머신러닝 변수 영향도를 설명하였다. 본 연구를 통해 핵심 기술 분야인 인공지능과 같은 영역에서 특허의 품질을 예측하고, 고품질 특허 개발을 장려함으로써 사회적 가치를 실현하는 데 기여할 수 있을 것으로 기대한다.