증강현실은 가상현실과는 구별되는 개념으로, 실제 세계와 가상 세계의 요소가 혼합된 상호작용 환경이다. 본 연 구는 가상현실 또는 일상에서 노출될 수 있는 일반적인 콘텐츠를 활용하여, 증강현실이 사용자 경험에 미치는 영향 을 검증하였다. 본 연구에서는 증강현실 사이버 멀미를 유발하기 위해서 조건에 따라 증강현실 노출 시간과 콘텐츠 의 움직임 속도를 조작하였다. 실험 과정에서 참가자는 증강현실 기기를 120분 동안 착용하고 30분씩 시뮬레이션 레이싱 게임을 시청하며 색 변화 탐지 과제를 수행하였고, 그로 인해 유발된 주관적인 불편감을 SSQ 설문지를 이용 해 보고하였다. 실험 결과, 증강현실 노출 시간이 길어질수록 사이버 멀미는 점진적으로 증가하였으며 기기를 해제 한 후에도 사이버 멀미는 지속되었다. 하지만, 움직임 속도는 사이버 멀미에 미미한 영향을 미쳤다. 특히, 메스꺼움 증상과 방향 감각 상실 증상이 높게 유발되는 가상현실과는 다르게 증강현실은 안구 운동 불편감에 대한 보고가 높게 관찰되었다. 본 연구는 증강현실 경험이 가상현실 경험과는 구별됨을 보여주며, 증강현실 경험으로 유발될 수 있는 인체 영향성을 다면적으로 측정했다는 점에서 의의가 있다.

음악적 몰입은 음악 청취, 악기 연주 등의 음악 활동에 참여하는 동안 음악에 깊게 집중하고 있는 심리적 상태를 의미한다. 특히 음악을 청취하는 동안 나타나는 몰입은 청취자로 하여금 긍 정적인 감정을 경험하게 하며, 이때 몰입을 자주 경험하는 사람일수록 주관적 행복감이 높은 것으 로 나타났다. 그렇다면 음악 청취 시 나타나는 음악적 몰입 상태를 어떻게 규정할 수 있으며, 청 취자가 몰입을 경험하고 있다는 것을 확인할 수 있는 방법에는 무엇이 있을까? 인지과학, 신경과 학 분야에서 다양한 연구들이 음악 청취자의 몰입 상태를 과학적으로 평가하고 정량화하고자 시 도하고 있다. 그러나 기존 연구에서는 플로우(flow), 몰두(absorption), 참여(engagement) 등 몰입 을 설명하는 여러 개념들이 혼재되어 사용되고 있어 음악적 몰입 현상을 개념화하기 어렵다는 문 제가 있다. 본 연구에서는 몰입에 관한 다양한 논문 리뷰를 통해 음악 청취 활동 시 나타나는 몰 입 모형이 선행요인-몰입 상태-결과의 3단계로 구분될 수 있음을 칙센트미하이(Csikszentmihalyi) 의 플로우 이론에 기반하여 확인할 것이다. 또한, 음악 청취의 몰입을 행동적, 생리학적, 신경과학 적으로 정량화할 수 있는 방법론과 향후 연구 방향을 제안하고자 한다.

eDNA (environmental DNA)란 특정 환경에 서식하는 생물로부터 유래한 DNA를 의미한다. 환경 시료로부터 추출한 eDNA를 활용하면 해당 환경에 서식하는 생물들의 효율적이고 정확한 모 니터링을 수행할 수 있다. 해수 시료로부터 얻은 eDNA를 기반으로 해양생물 다양성 연구를 수행할 수 있다. 해수 시료를 채집하고 이로부터 eDNA를 추출한 뒤, metagenome 분석을 통 해 서식하는 해양생물의 종 동정과 다양성 분석이 가능하다. 본 리뷰에서는 이처럼 해수의 eDNA를 활용하여 해양 지역의 생물 다양성 연구를 수행하는 전체적인 과정을 제시하고 있다. 아직 국내에는 해양생물 다양성 연구를 위해 eDNA를 적용하는 방법이 보편화 되어있지 않으 며, 본 리뷰를 기반으로 이와 같은 eDNA 연구 방법을 정립하는데 도움을 줄 수 있을 것이다.

본 연구는 소나무재선충병 방제대상지 선정의 효율성을 높이기 위해 진주시를 대상으로 소나무재선충병 잠재분포를 예측하였다. 예측에 사용된 MaxEnt 모델은 회귀분석을 기반으로 종 발생 확률 평가 및 다양한 잠재분포 예측에 이용되고 있다. 종속변수로는 소나무재선충병 감염목 자료를 사용하였으며, 독립변수로는 지리 ‧ 지형 ‧ 기후적 요인으로 총 15개 인자를 사용하였다. 잠재분포 예측 결과, 모델의 성능은 AUC가 0.801로 우수한 수준의 정확도를 나타냈다. 독립변수 중에는 전년도 감염목과의 거리, 6월 하순 강우량, 5월 강우량, 화목보일러와의 거리 순으로 잠재분포에 영향을 미치는 것으로 나타났다. 이러한 결과는 지속적인 소나무재선충병 감염목 DB 구축과 지리적 요인들에 대한 모니터링의 중요성이 크다는 것을 의미한다.

This study aims to verify the impact of a metaverse-based safety education program on the fire safety awareness of elementary school students. Utilizing the National Fire Agency's 119 metaverse program, an educational program was implemented for two months, and the experimental group was examined using paired-sample t-tests, while comparisons with the control group were made using independent-sample t-tests. The results revealed statistically significant differences between the experimental and control groups in the area of fire prevention. Although no statistically significant differences were observed over time within each group, the overall average scores for the entire class improved across all areas. Based on these findings, the effectiveness of metaverse-based safety education is suggested; however, a significant difference compared to traditional education was not detected. The study concludes by exploring implications for considerations in the implementation of metaverse safety education in the future.

Effects-Based Operations (EBO) refers to a process for achieving strategic goals by focusing on effects rather than attrition-based destruction. For a successful implementation of EBO, identifying key nodes in an adversary network is crucial in the process of EBO. In this study, we suggest a network-based approach that combines network centrality and optimization to select the most influential nodes. First, we analyze the adversary’s network structure to identify the node influence using degree and betweenness centrality. Degree centrality refers to the extent of direct links of a node to other nodes, and betweenness centrality refers to the extent to which a node lies between the paths connecting other nodes of a network together. Based on the centrality results, we then suggest an optimization model in which we minimize the sum of the main effects of the adversary by identifying the most influential nodes under the dynamic nature of the adversary network structure. Our results show that key node identification based on our optimization model outperforms simple centrality-based node identification in terms of decreasing the entire network value. We expect that these results can provide insight not only to military field for selecting key targets, but also to other multidisciplinary areas in identifying key nodes when they are interacting to each other in a network.

This study attempted to provide implications by analyzing the impact of business Owner’s safety commitment on industrial accidents and examining the mediating role of management supervisors’ safety leadership and worker participation. Analysis was conducted on 2,067 manufacturing sites with 20 to 50 employees in the 10th Occupational Safety and Health Survey data. SPSS waw used to secure the reliability of the measurement variable. Hypothesis vertification was carried out after securing the suitability and validity of the structural model using AMOS. The direct impact of three latent variables on industrial accidents was confirmed: the business owner’s safety commitment, the management supervisor’s safety leadership, and the worker participation. The employer’s safety will and the management supervisor’s safety leadership do not directly affect industial accidents, but it has been verified that worker participation has a diret impact on industrial accident reduction. In addition, it has been confirmed that the safety leadership and worker participation of the management. Supervior have a complete mediating effect on the reduction of industrial accidents by mediating with the safety leadership of the management supervior and the participation of the workers. This study analyzed the impact on industrial accidents by dividing the stakeholders constituting the workplace into three classes: business owners, superviors, and workers, but the results suggest that employers and all workers inside the workplace may be organically linked to achieving the goal of reducing industrial accidents. Therefore, in order to establish an autonomous safety management system for safety and health at workerplaces, efforts are needed to reduce industrial accidents in their respective location by forming an organic community among internal stakeholders.

목적: 디지털 헬스를 이용한 재활치료가 치매환자의 인지 기능, 우울, activities of daily living (ADL), instrumental activities of daily living (IADL), 삶의 질에 미치는 영향을 확인한 연구들에 대해 고찰하고 그 효과를 알아보고자 하였다. 연구방법: 국외, 내 데이터베이스를 통해 2010년 1월부터 2022년 5월까지의 연구 중 총 15편의 무작위 대조군 실험연구를 선정하였다. Pedro scale을 통해 문헌의 질을 확인하였고, 디지털 헬스를 이용한 재활치료가 치매환자의 인지 기능, 우울, ADL, IADL, 삶의 질에 미치는 효과크기를 검정하고자 R 4.2.0을 사용하여 효과크기, 통계적 이질성, 출간오류 검정을 실시하였다. 결과: 선정된 15편의 논문의 평균 Pedro scale은 6.4점으로 비교적 높은 편에 속했으며, 15편의 연구는 전산화 인지재활 6편, 가상현실을 이용한 중재 5편, 원격재활 2편, 디지털 회상치료 1편, 로봇 1편으로 구성되었다. 메타분석 결과, 치매환자의 인지 기능(0.30, p = 0.01)과 우울(-0.71, p < 0.0001)에서 중간 효과크기로 나타났으며, 통계적으로 유의미하였다. 하지만 ADL (0.41, p = 0.26), IADL (0.20, p = 0.34), 삶의 질(0.31, p = 0.11)에서는 통계적으로 유의하지 않았다. 결론: 치매환자에게 디지털 헬스를 이용한 재활치료는 인지 기능을 향상시키고 우울을 감소시키는 것으로 나타났다. 이를 통해 인지 기능 감소와 우울 증상을 보이는 치매환자의 재활을 위해 디지털 헬스를 이용한 중재가 활용되기를 기대한다.

In Korea, from January 2023, the Act on Labeling and Advertising of Food was revised to reflect the use-by-date rather than the sell-by-date. Hence, the purpose of this study was to establish a system for calculating the safety factor and determining the recommended use-by-date for each food type, thereby providing a scientific basis for the recommended use-by-date labels. A safety factor calculation technique based on scientific principles was designed through literature review and simulation, and opinions were collected by conducting surveys and discussions including industry and academia, among others. The main considerations in this study were pH, Aw, sterilization, preservatives, packaging for storage improvement, storage temperature, and other external factors. A safety factor of 0.97 was exceptionally applied for frozen products and 1.0 for sterilized products. In addition, a between-sample error value of 0.08 was applied to factors related to product and experimental design. This study suggests that clearly providing a safe use-by-date will help reduce food waste and contribute to carbon neutrality.

In this study, we detected the presence of residual pesticides in 341 agricultural products collected from local food outlets in western Gyeonggi Province. Residual pesticides were detected in 105 (30.8%) samples. Six samples exceeded the legal limits for residual pesticides, resulting in a non-compliance rate of 1.8%, which was slightly higher than the average non-compliance rate of 1.4% in the last three years. Among the tested agricultural products, only fruits and vegetables were found to have pesticide residues, with 24 of 34 fruits (a detection rate of 70.6%) and 81 of 277 vegetables (a detection rate of 29.2%) testing positive. In total, 59 types of pesticides, including acetamiprid, which was detected 208 times, were detected and had a detection range of 0.01–2.38 mg/kg. Among the 105 agricultural products containing pesticide residues, a single pesticide was detected in 62 samples (59%) and two or more pesticides were detected in 43 samples (41%). In particular, 14 pesticides were detected in the same sample of peaches; dinotefuran was detected 21 times. Upon examining the toxicity of the detected pesticides, Class III pesticides (moderate toxicity) were detected 44 times (21.2%) and Class IV pesticides (low toxicity) were detected 164 times (78.8%). Class I, II, and III pesticides with fish toxicity were detected 68 (32.7%), 14 (6.7%), and 126 times (60.6%), respectively. Upon examining the exposure to high-frequency pesticide components detected five or more times, the hazard index was found to be ≤2.8%. Accordingly, the hazard of residual pesticides based on dietary intake was deemed insignificant.

The status of residual pesticides was investigated in four pepper seed oil samples and 36 pepperflavored oil samples oil distributed on the market from August to December 2022. A total of 179 pesticides were monitored in 40 samples, and 14 pesticides were detected in 39 of the samples, with a detection range of 0.01-2.16 mg/kg. In chili seed oil, 10 pesticides were detected 27 times with a range of 0.11-2.16 mg/kg, and in pepper-flavored oil, 9 pesticides were detected 94 times with a range of 0.01-0.80 mg/kg. The most frequently detected pesticides were tebuconazole, ethion, and difenoconazole, with ethion being detected in large concentrations in products using Chinese raw materials. Ethion, an unregistered pesticide in the Republic of Korea, has not been detected in the Gyeonggi-do area in the past 10 years. It is thought that the detection of ethion can be utilized as an indicator of products made in China. Peppers are a representative agricultural product for which many pesticides are used, and if the pesticides transferred to pepper seeds are not removed, the probability of detecting various types of pesticides in pepper seed oil is very high. Therefore, continuous research is needed to ensure the safety of pepper seed oil.

This study aimed to investigate the acrylamide content in frozen food products after cooking. Twenty samples of bread (Group 1) and 30 samples of processed tuberous and corn vegetable products (Group 2) were selected. Acrylamide levels were quantified using liquid chromatography tandem-mass spectrometry (LC-MS/MS). The frozen food samples were heated using the air fryer cooking method according to the product packaging and were compared to ready-to-eat French fries (Group 3). The results showed that the acrylamide content was the highest in group 3, followed by that in group 2 and group 1. The acrylamide content of all the samples was found to be within the domestic recommended standard of 1 mg/kg. However, when the samples that exceeded EU benchmark level (0.5 mg/kg) were selected and cooked using the deep-fat frying method according to the product packaging, one of them showed the acrylamide content of 1.83 mg/kg, which exceeded the domestic recommended standard. The present study highlights the need for continued evaluation and management to reduce acrylamide contents in frozen foods, as increasing domestic exposure to acrylamide is concerning.

Dried apple jeonggwa, a traditional Korean dessert, was made using various apple varieties, such as Jonathan, Fuji, and Hongro. After making the dried apple jeonggwa, the physical and sensory properties of the dessert made using different apple varieties were compared. The apple varieties had no differences in moisture content, weight loss, or sugar content. Chromacity differences were observed depending on the varieties, but E was small. Hardness was highest in Jonathan, while resilience was highest in Fuji, but there was no significant difference in hardness. In the sensory evaluation, appearance, color, sweetness, hardness, chewiness, and overall acceptability were highest in Jonathan, while there was no substantial difference among the varieties in terms of flavor, sourness, or adhesiveness.

Conventional aquaculture faces declining productivity, shifting to recirculating aquaculture system (RAS), known for minimizing water usage and maintaining consistent water temperatures for year-round fish growth. Rainbow trout (Oncorhynchus mykiss), a globally important cold-water species and the third most farmed fish in inland waters of Korea, valued for its fecundity and rapid growth. Dissolved oxygen, an important environmental factor affecting fish production and economics, highlights the need for smart aquaculture practices. Since 2018, the rise of intelligent aquaculture platforms, incorporating information and communications technology (ICT), emphasizes the essential role of RAS implementation. This eight-week study aimed to determine the optimal dissolved oxygen concentration for rainbow trout in RAS, utilizing a device for continuous monitoring, control and record. Dissolved oxygen concentrations were set at 5-6 mg/L, 9-10 mg/L, 14-15 mg/L and 17-18 mg/L. The growth rate significantly decreased at 5-6 mg/L, with no significant differences in other experimental groups. In hematological analysis, growth hormone (GH) was significantly highest at 5-6 mg/L, followed by 9-10 mg/L while Insulin-like growth factor-1 (IGF-1) was significantly lowest at 5-6 mg/L. In conclusion, the optimal dissolved oxygen concentration for rainbow trout in RAS is approximately 9-10 mg/L. Higher concentrations do not contribute to further growth or profitability.

This study was conducted to determine seafood product quality change in the fresh food cold chain logistics. Salmon was stored in three different simulated refrigerated distribution environments according to door opening time (0, 20, and 60 s) every 10 min before the samples’ qualities were evaluated. The temperature inside the refrigerator generally rose from the bottom to the top, and it was possible to confirm the rapid change in temperature in the order of A, B, and C as the door opening time increased. It was observed that the freshness of salmon decreased as the door opening time increased through the evaluation of various food qualities of salmon, such as its appearance, color, pH, VBN, moisture content, hardness, general bacteria, and E. coli bacteria. It was confirmed that fresh food quality is strongly associated with delivery temperature, while cold-chain delivery vehicles must reduce heat exposure time during delivery.