강황 분말의 첨가가 마요네즈의 품질특성, 항산화활성 및 산화안정성에 미치는 영향에 대해 평가하였다. 들기름으로 제조된 마요네즈에 강황 분말을 0.5%, 1%, 2%, 3% 농도로 첨가하여 4°C에서 12주 동안 저장하였으며, 강황 분말 무첨가구와 비교하였다. 강황 분말 첨가량이 많아짐에 따라 들기름 마요네즈의 L* (명도) 값은 유의적으로 감소하였고, a* (적색도)는 모든 실험구에서 negative (-)값이었으며, b* (황색도)값은 유의적으로 증가되는 경향이었다(p<0.05). 강황 분말 첨가량이 많아짐에 따라 총 페놀 함량 및 항산화 활성이 유의적으로 증가하였다(p<0.05). 마요네즈를 저장하는 동안 과산화물가는 유의적으로 증가하였으나, 강황 분말 첨가 시료에서는 유의적으로 낮았다(p<0.05). 마요네즈의 유화안정성은 저장 초기에 비해 저장 기간이 길어질수록 감소되는 경향이었으나, 0.5%의 강황 분말 첨가구는 무첨가구에 비해 유의적으로 높은 유화안정성을 보였으며, 1%의 강황 분말 첨가구는 무첨가구와 유의차를 보이지 않았다. 점도는 저장 기간이 경과됨에 따라 감소되었으나, 무첨가구에 비해 1% 이상의 강황 분말 첨가구에서 유의적으로 높았다. 들기름 마요네즈에 강황 분말 첨가 시 항산화 활성 증대 및 과산화물의 생성 억제에 효과적이었으며, 특히 0.5~1% 첨가시 마요네즈의 유화안정성 및 점도 개선에 도움이 될 것으로 판단된다.

목적 : 본 연구는 치매 환자들에게 적용할 수 있는 디지털 매체를 활용한 회상치료의 중재 방법과 효과를 제시하고자 한다. 연구방법 : 본 연구에서는 Google Scholar, Pubmed에서 제공되는 연구논문들 중 2012월 1월 부터 2021년 12월 까지 발표된 자료를 수집하였다. 포함 및 배제기준을 적용하여 6개의 논문이 분석대상으로 사용되었다. 이 연구들은 연구의 근거기반 질적 수준 분석모델에 따라 분류하였고 PICO로 정리하였다. 검색어는 “치매” AND “회상치료”, “dementia” AND “reminiscence therapy” AND “media” OR “digital” OR “app”로 사용하였다. 결과 : 디지털 회상치료에 대한 연구는 2015년, 2016년, 2020년은 각각 1편, 2021년은 3편, 총 6편으로 이루어져 있으 며, 태블릿을 활용한 회상치료, 디지털 소프트웨어를 활용한 회상치료, 디지털 동영상을 활용한 회상치료, VR기기를 활 용한 회상치료 등 다양한 매체를 활용하여 중재에 적용하였다. 디지털 회상치료를 적용하였을 때, 우울 감소, 삶의 질, 인지기능 향상의 효과가 가장 많았으며 평가도구는 MMSE(Mini-Mental State Examination)가 가장 많이 사용된 것 을 확인할 수 있었다. 결론 : 디지털 매체를 활용한 회상치료의 중재 방법과 효과를 알아보고자 하였다. 태블릿을 활용한 회상치료, 디지털 소프 트웨어를 활용한 회상치료 등이 있었으며 우울 감소, 삶의 질 향상 등의 효과가 있었다. 이러한 결과를 바탕으로 추후 연구에서는 디지털 매체를 활용한 회상치료 간의 비교를 통해 어떠한 디지털 매체가 회상치료에 적용되었을 때 더 효과 가 있는지 비교연구가 활발히 이루어지기를 기대한다.

기후변화 영향으로 이상고수온, 태풍, 홍수, 가뭄 등 재난 및 안전 관리기술은 지속적으로 고도화를 요구받고 있으며, 특히 해 수면 온도는 한반도 주변에서 발생되는 여름철 적조 발생과 동해안 냉수대 출현, 소멸 등에 영향을 신속하게 분석할 수 있는 중요한 인자 이다. 따라서, 본 연구에서는 해수면 온도 자료를 해양 이상현상 및 연구에 적극 활용되기 위해 통계적 방법과 딥러닝 알고리즘을 적용하 여 예측성능을 평가하였다. 예측에 사용된 해수면 수온자료는 흑산도 조위관측소의 2018년부터 2022년까지 자료이며, 기존 통계적 ARIMA 방법과 Long Short-Term Memory(LSTM), Gated Recurrent Unit(GRU)을 사용하였고, LSTM의 성능을 더욱 향상할 수 있는 Sequence-to-Sequence(s2s) 구조에 Attention 기법을 추가한 Attention Long Short-Term Memory (LSTM)기법을 사용하여 예측 성능 평가를 진행하 였다. 평가 결과 Attention LSTM 모델이 타 모델과 비교하여 더 좋은 성능을 보였으며, Hyper parameter 튜닝을 통해 해수면 수온 성능을 개 선할 수 있었다.

인공위성은 최첨단 기술로써 시공간적 관측제약이 적어 해양 사고에 효과적 대응과 해양 변동 특성 분석 등으로 각국의 국가 기관들이 위성 정보를 활용하고 있다. 하지만 고해상도 위성 관측 기반 해수면 온도 자료(Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA)는 위성의 기기적, 또는 지리적 오류와 구름으로 인해 낮게 관측되거나 공백으로 처리되며 이를 복원하기까지 수 시간이 소요된다. 본 연구는 최신 딥러닝 기반 알고리즘인 LaMa 기법을 활용하여 결측된 OSTIA 자료를 복원하고, 그 성능을 기존에 이용되어 온 세 가지 영상처리 기법들의 성능과 비교하여 평가하였다. 결정계수(R²)와 평균절대오차(MAE) 값을 이용하여 각 기법의 위성 영상 복원 성 능을 평가한 결과, LaMa 알고리즘을 적용하였을 때의 R²과 MAE 값이 각각 0.9 이상, 0.5℃ 이하로, 기존에 사용되어 온 쌍 선형보간법, 쌍 삼차보간법, DeepFill v1 기법을 적용한 것보다 더 우수한 성능을 보였다. 향후에는 현업 위성 자료 제공 시스템에 LaMa 기법을 적용하여 그 가능성을 평가해 보고자 한다.

The air dilution olfactory method to measure complex odors needs to store and carry odor samples from the field sampling until the analysis in laboratories. Until the analysis of sample in the laboratory, odor dilution factor (odor sensitivity) in the sample bag may decrease over time depending on the characteristics of each odor substances. This is one of the limitation for the air dilution olfactory method. Thus, the air dilution device enable to measure without loss in complex odors of samples. Recently, many studies on the performance test of on-site air dilution devices, i.e., field olfactometer, has been conducted to figure out the feasibility of the field olfactometers. In this study, seven odor samples were collected from five odor emission source sites. And comparative analysis with the air dilution olfactory method was carried out to assess the field applicability of the olfactometer. As results, the performance of the field olfactometer used in this study is regared as the affordable method. The dilution factors from between two methods showed the similar values, indicating low values of standard deviations. In order to ensure the accuracy and precision of measurement data using the field olfactometer, methodology minimized variables (that may affect measurement) needs to establish.

To cultivate pine mushroom (Tricholoma matsutake) artificially, co-cultivation with microorganisms has been introduced. Here, experiments were performed to assess the growth-promoting effect of bacteria on T. matsutake mycelia. Bacteria were isolated from soil samples collected in Yangyang County, Korea. Four of the bacterial isolates (Y22_B06, Y22_B11, Y22_B18, and Y22_B22) exhibited a growth-promoting effect on T. matsutake mycelia (154.67%, 125.91%, 134.06%, and 158.28%, respectively). To analyze the characteristics of the bacteria, especially the antifungal activity, -amylase and cellulase activity assays were performed. In comparison with the controls, the isolated bacteria exhibited low -amylase and cellulase activity. 16S rRNA gene sequencing was performed to identify the four bacterial isolates. The isolates belonged to the Terrabacteria group and were identified as Microbacterium paraoxydans, Paenibacillus castaneae, Peribacillus frigoritolerans, and P. butanolivorans. These bacterial isolates are expected to have contributed to the growth promotion of T. matsutake mycelia and the artificial cultivation of T. matsutake.

This study was conducted to develop a renewable and sustainable bio-material to replace polystyrene (EPS) in fungal-mycelium-based composite using agricultural by-products. Four mushrooms (Ganoderma lucidum, Fomitella fraxinea, Phellinus linteus, and Schizophyllum commune) were cultured in an oak sawdust plus rice bran substrate to select the mushroom with the best growth. The mycelia of G. lucidum showed the best growth. To investigate the optimal mixing ratio with spent mushroom substrate (SM) and oak sawdust (OS), samples were prepared by mixing SM and OS at ratios of 50%:50%, 60%:40%, and 80%:20% (w/w). Each substrate was then inoculated with G. lucidum. G. lucidum showed the best mycelial growth of 140.0 mm in the substrate with SM and OS mixed at a 60%:40% ratio. It was also found that the substrate with SM and OS mixed at a 60%:40% ratio had the best handling properties. The compressive strength of mycelial materials inoculated with G. lucidum was in the range of 300–302 kgf mm-1, and the materials were four times stronger than polystyrene materials. These results indicate that substrates comprising spent mushroom substrate mixed with oak sawdust can be successfully upcycled to mycelium-based composite materials using G. lucidum. This represents a sustainable approach.

Cucurbita is one of the crops with high demand in the world. Securing breeding sources is crucial and fundamental to any plant breeding program. This study was conducted to investigate the characterization of phenotypic traits and phylogenetic classification of germplasm provided by the National Agrobiodiversity Center of RDA. Fourteen phenotypic traits were measured in 199 accessions of Cucurbita germplasm. Among these germplasm, 92 accessions of C. moschata, 34 accessions of C. maxima, and 73 accessions of C. pepo were classified using the KASP marker from the Seed Industry Center. It was confirmed that there were five classifications in C. moschata, five in C. maxima and four in the C. pepo. The results of this study provide fundamental data on Cucurbita germplasm and are expected to be useful in breeding programs.

The effects of punching treatment on mycelial culture and fruiting body productivity were investigated in a new Lentinula edodes cultivar, “Jadam”, in sawdust medium for the stable production of oak mushroom. As the punching volume and number increased, the weight loss rate and color difference increased and the L value decreased. After spawn inoculation, the sawdust medium temperature and CO2 concentration reached their highest values at 33 and 19 days of incubation, respectively. The O2 concentration showed the lowest value on the 14th day of incubation, which was the opposite pattern to the CO2 concentration. As the punching volume and the number increased, the medium temperature and O2 concentration increased, and the CO2 concentration decreased. Higher punching volumes and numbers resulted in higher temperatures and lower CO2 concentrations. The best fruiting body yield was 5 × 70 mm - 30 (punching diameter × depth - number), and the total yield after three cycles was 644.7 g.

A new spore-less cultivar Lentinula edodes ‘Daedam’ was bred from monokaryotic strains of ‘LE15401-24’ and ‘LE192118-10’. The optimum temperature for mycelial growth of ‘Daedam’ on potato dextrose agar was 22~25oC. Total cultivation period of the new cultivar, from inoculation to its first harvest, was 134 days, similar to that of the control cultivar ‘Hwadam’. Total yield of ‘Daedam’ was 222g per 3kg substrate, and was lower than that of control cultivar(266.0g). The fruiting body of ‘Daedam’ had a thick and small pileus and a longer stem compare to control cultivar. As a result of a analyzing the productivity of ‘Daedam’ on the different substrate types, the biological efficiency was 26.7% in the 1.2kg cylindrical substrate(CS), which was higher than that of the 3kg rod-type substrate(RS). 'Daedam' had a similar yield compared to 'Hanacham' in first fruiting body production, but the cultivation period was 40 days shorter. Therefore, 'Daedam' can only harvest fruiting bodies once, it is thought that it can be used as spore-less oak mushroom cultivar for short-term cultivation instead of 'Hanacham' in mushroom farms.

This study was conducted to reduce the phenomenon of the biased cultivation of certain mushroom varieties and to develop a competitive variety of Pleurotus nebrodensis. We have collected and tested characteristics of genetic resources from domestic and overseas varieties since 2015. We bred the domestic variety ‘Boram’. The optimal temperature was 26~29oC for mycelial growth and 15~18oC for fruit body growth temperature. This variety was similar to the control variety (Uram) in terms of the number of cultivation days and yield per bottle. The shape of the new cultivar was round, whereas that of the control group was spatula-like. The yield was 181.1 g/bottle, which was statistically similar to that of the control variety. When incubating the parent and control varieties, the replacement line was clear. Moreover, polymerase chain reaction analysis of mycelial DNA resulted in different band patterns between the parent and control varieties, confirming the hybrid species.

On pig farms, the highest mortality rate is observed among nursing piglets. To reduce this mortality rate, farmers need to carefully observe the piglets to prevent accidents such as being crushed and to maintain a proper body temperature. However, observing a large number of pigs individually can be challenging for farmers. Therefore, our aim was to detect the behavior of piglets and sows in real-time using deep learning models, such as YOLOv4-CSP and YOLOv7-E6E, that allow for real-time object detection. YOLOv4-CSP reduces computational cost by partitioning feature maps and utilizing Cross-stage Hierarchy to remove redundant gradient calculation. YOLOv7-E6E analyzes and controls gradient paths such that the weights of each layer learn diverse features. We detected standing, sitting, and lying behaviors in sows and lactating and starving behaviors in piglets, which indicate nursing behavior and movement to colder areas away from the group. We optimized the model parameters for the best object detection and improved reliability by acquiring data through experts. We conducted object detection for the five different behaviors. The YOLOv4-CSP model achieved an accuracy of 0.63 and mAP of 0.662, whereas the YOLOv7-E6E model showed an accuracy of 0.65 and mAP of 0.637. Therefore, based on mAP, which includes both class and localization performance, YOLOv4-CSP showed the superior performance. Such research is anticipated to be effectively utilized for the behavioral analysis of fattening pigs and in preventing piglet crushing in the future.

Physicochemical properties and storage stability of plant-based alternative meat prepared with low-fat soybean powder (LPAM) treated by supercritical-CO2 and those of full-fat soybean powder (FPAM) were compared. Ash and crude protein contents were higher in LPAM than in FRAM. Water absorption capacity and oil absorption capacity were significantly higher in LPAM than in FPAM. Water binding capacity was higher in LPAM than in FPAM during a 20 days storage period at 5℃ and pH was significantly lower in LPAM than in FPAM after a 5~10 days storage period. Hardness, gumminess and chewiness significantly increased with the increase in the storage period, and the three were significantly higher in LPAM than in FPAM after 10 days and 20 days of storage. The acid value showed no remarkable difference according to the storage period in LPAM; however, it was significantly higher in FPAM than in LPAM after 20 days of storage. The peroxide value and TBA value were significantly increased according to the storage period, and were significantly lower iin LPAM than in FPAM during all the storage periods. Therefore, the use of low-fat soybean powder may be effective in improving oxidative stability during storage in the production of plant-based alternative meat.

This study was conducted to provide basic data on the antioxidant activity, inhibition of adipocyte differentiation and reactive oxygen species (ROS) production of a mixture of Brassica juncea extract (BJE) and fermented black rice fraction (BRF). We investigated the total phenol content, total flavonoid content, antioxidant effects (DPPH radical scavenging, ABTS radical scavenging, reducing power, FRAP and ORAC assay) and anti-obesity activity of the mixture in 3T3-L1 cells. Our results showed that the total phenol and flavonoid content increased with increasing BRF mixture ratio. The antioxidant activity increased as the BRF mixture ratio increased. In addition, BJE and BRF mixtures did not show any cytotoxicity during the 3T3-L1 differentiation period. During adipocyte differentiation, BJE and BRF mixtures significantly inhibited lipid accumulation and ROS production compared to the control group. These results warrant further experiments to develop an anti-obesity functional food using a mixture of BJE and BRF.

To analyze the pesticide residues in commercial bee pollen products in South Korea, 61 samples were collected and screened for 339 pesticides. Results revealed that approximately 34% (>LOQ) of samples were contaminated with at least one pesticide. The pesticide residue detection rates of domestic and imported samples were 31% and 44%, respectively. Furthermore, the pesticide residue detection rate of online distribution (60%) was higher than that of offline distribution (27%). Fifteen pesticides were discovered in bee pollen, and pendimethalin, chlorfenvinphos, chlorpyrifos, and fluazinam were detected in 7, 6, 3, and 2 order of frequency, respectively. Even though its concentration was low, chlorfenvinphos which is banned in food crops in the United States, European Union, and Korea, was detected in bee pollen samples commonly. Therefore, continuous investigation of pesticide residues in bee pollen products and their acceptance criteria is required for safety.

Porous ceramics are used in various industrial applications based on their physical properties, including isolation, storage, and thermal barrier properties. However, traditional manufacturing environments require additional steps to control artificial pores and limit deformities, because they rely on limited molding methods. To overcome this drawback, many studies have recently focused on fabricating porous structures using additive manufacturing techniques. In particular, the binder jet technology enables high porosity and various types of designs, and avoids the limitations of existing manufacturing processes. In this study, we investigated process optimization for manufacturing porous ceramic filters using the binder jet technology. In binder jet technology, the flowability of the powder used as the base material is an important factor, as well as compatibility with the binder in the process and for the final print. Flow agents and secondary binders were used to optimize the flowability and compatibility of the powders. In addition, the effects of the amount of added glass frit, and changes in sintering temperature on the microstructure, porosity and mechanical properties of the final printed product were investigated.

Boron carbide (B4C) is highly significant in the production of lightweight protective materials when added to aluminum owing to its exceptional mechanical properties. In this study, a method for fabricating Al-B4C composites using high-energy ball milling and directed energy deposition (DED) is presented. Al-4 wt.% B4C composites were fabricated under 21 different laser conditions to analyze the microstructure and mechanical properties at different values of laser power and scan speeds. The composites fabricated at a laser power of 600 W and the same scan speed exhibited the highest hardness and generated the fewest pores. In contrast, the composites fabricated at a laser power of 1000 W exhibited the lowest hardness and generated a significant number of large pores. This can be explained by the influence of the microstructure on the energy density at different values of laser power.