Recent progress has been made to establish intestinal organoids for an in vitro model as a potential alternative to an in vivo system in animals. We previously reported a reliable method for the isolation of intestinal crypts from the small intestine and robust three-dimensional (3D) expansion of intestinal organoids (basal-out) in adult bovines. The present study aimed to establish next-generation intestinal organoids for practical applications in disease modeling-based host-pathogen interactions and feed efficiency measurements. In this study, we developed a rapid and convenient method for the efficient generation of intestinal organoids through the modulation of the Wnt signaling pathway and continuous apical-out intestinal organoids. Remarkably, the intestinal epithelium only takes 3-4 days to undergo CHIR (1 µM) treatment as a Wnt activator, which is much shorter than that required for spontaneous differentiation (7 days). Subsequently, we successfully established an apical-out bovine intestinal organoid culture system through suspension culture without Matrigel matrix, indicating an apical-out membrane on the surface. Collectively, these results demonstrate the efficient generation and next-generation of bovine intestinal organoids and will facilitate their potential use for various purposes, such as disease modeling, in the field of animal biotechnology.

The leaves of Allium victorialis (AV) are known an edible perennial herb, which has been used in Korean traditional medicine. However, the beneficial pharmacological effects of AV extracts (AVE) on the antioxidant activity and atopic dermatitis (AD) have not been thoroughly examined. Therefore, the present study aims to investigate both antioxidant activity and anti-inflammatory effect of AVE on AD in vitro and in vivo. Antioxidant activity was evaluated by total polyphenol content and ferric reducing ability. AVE showed a level of polyphenol content and reducing power activity. The five-week-old BALB/c mice were used as an AD-like mouse model by treating them with 1-chloro-2, 4-dinitrobenzene (DNCB). Topical administration of AVE for 3 weeks to DNCB-treated mice significantly alleviated clinical skin lesion dermatitis severity and epidermal thickness. Histopathological analysis also demonstrated that AVE decreased eosinophil and mast cell infiltration into skin and ear tissue. These results suggest that topical application of AVE inhibits the development of AD-like skin lesion in mice by their antioxidant activity. Thus, AVE may be a potential therapeutic agent for AD.

Korea Research Reactor 1&2 (KRR-1&2), Korea’s first research reactor, began dismantling in 1997. As of 2022, the demolition of general areas such as offices has been completed, and contaminated areas such as reactor rooms remain. On the other hand, construction waste generated in contaminated areas of nuclear facilities cannot be disposed of as general industrial waste. It is predicted that about 5,000 tons of construction waste will be generated if the contaminated area of KRR-1&2 is demolished. In this study, the application plan for the demolition of contaminated area of KRR-1&2 was reviewed through a review of laws and cases related to domestic and overseas disposal. The only method for disposing of construction waste in contaminated areas that can be applied in Korea is clearance in accordance with Nuclear Safety Commission Notice No. 2020-06. In addition, there has been no case of demolishing large-scale nuclear facilities in Korea. Therefore, there are limitations in domestic laws and standards to be applied to the dismantling of contaminated areas of KRR-1&2. The IAEA and the United States specify comprehensive matters such as optimization of radiation protection and minimization of waste products. The EU recommends demolition after decontamination by removing contaminated areas before demolition of buildings. It also presents three options for reuse, recycling, and disposal of buildings and building waste. In particular, in the case of Germany, detailed radioactivity measurement methods for deregulation of buildings and building waste are presented in accordance with the EU’s guidelines. As a result of synthesizing this, it is judged that the EU and Germany building clearance plan will be suitable for domestic application.

The International Atomic Energy Agency recommends the deep geological disposal system as one of the disposal methods for high-level radioactive waste (HLW), such as spent nuclear fuel. The deep geological disposal system disposes of HLW in a deep and stable geological formation to isolate the HLW from the human biosphere and restrict the inflow of radionuclides into the ecosystem. It mainly consists of an engineered barrier and a natural barrier. Safety evaluation using a numerical model has been performed primarily to evaluate the buffer’s long-term stability. However, although the gas generation rate input for long-term stability evaluation is the critical factor that has the most significant influence on the long-term hydraulic-mechanical behavior of the buffer, in-depth research and experimental data are lacking. In this study, the gas generation rate on the interface between the disposal canister and the buffer material, a component of the engineered barrier, was mainly studied. Gas can be generated between the disposal canister and the buffer material due to various causes such as anaerobic corrosion of the disposal canister metal, organic matter decomposition, radiation decomposition, and steam generation due to high temperature. The generation of gas in such a disposal environment increases the pore gas pressure in the buffer and causes internal cracks. The occurred cracks increase the intrinsic permeability of the buffer, which leads to a decrease in the primary performance of the buffer. For this reason, it is essential to apply the appropriate gas generation rate according to the disposal condition and buffer material for accurate long-term stability analysis. Therefore, the theoretical models regarding the estimation of gas generation were summarized through a literature study. The amount of gas generated was estimated according to the disposal environment and material of the disposal canister. It is expected that estimated values might be used to estimate the long-term stability analysis of buffer performance according to the disposal condition.

The bacterial soft-rot disease is one of the most critical diseases in vegetables such as Chinese cabbage. The researchers isolated two bacteria (Pseudomonas kribbensis and Pantoea vagans) from diseased tissue samples of Chinese cabbages and confirmed them as being the strains that cause soft-rot disease. Lactic-acid bacteria (LAB), were screened and used to control soft-rot disease bacteria. The researchers tested the treatments with hypochlorous acid water (HAW) and LAB supernatant to control soft-rot disease bacteria. The tests confirmed that treatments with the HAW (over 120 ppm) or LAB (Lactobacillus plantarum PL203) culture supernatants (0.5 mL) completely controlled both P. kribbensis and P. vagans.

The objective of this study was to develop a simultaneous method for 8 amino acids including alanine, arginine, glutathione, lysine, ornithine, methionine, threonine and tryptophan in veterinary products using LC-MS/MS. To optimize MS analytical condition of 8 amino acids, each parameter was established by multiple reaction monitoring in positive mode. The chromatogram separation was achieved on a C18 column with mobile phase of 0.1% formic acid in D.W. and 0.1% formic acid in acetonitrile for green technology at a flow rate of 0.4mL/min for 5 min with gradient elution. The developed method was validated for mass accuracy, precision, linearity in veterinary products. Calibration curves were linear over the calibration ranges (0.5 – 10 mg/L) for all the analytes r2>0.99. Average recoveries were 92.96 – 105.61% and relative standard deviations (RSD) were 0.27 – 3.5%. The limit of detection (LOD) and the limit of quantification (LOQ) were 0.04 – 0.83 mg/L and 0.12 – 2.52 mg/L, respectively. All values were corresponded with the criteria ranges requested by CD 2002/657/EC. The application of this method will be helpful in quality control analysis of amino acids in veterinary products.

농촌진흥청 국립원예특작과학원에서는 2018년 오리엔탈-트럼펫(OT) 종간잡종나리 ‘Pink Bella’를 개발하였다. 2008년 연노란색 OT 종간잡종나리 ‘Valparadiso’와 붉은색의 오리엔탈나리 ‘Scalini’를 각각 모본과 부본으로 화주 절단 수분법과 주 두교배법으로 각 3화를 인공교배하였고, 교배 후 미숙한 3개의 꼬투리를 수확하여 배가 형성된 배주를 기내에서 배양하여 잡종을 획득한 후 재배하였다. 육묘한 배양묘로부터 2011년 분홍색의 OT 종간잡종 나리 ‘OTO-11-43’ 계통을 개체 선발하였다. 2012년부터 2017년까지 선발된 계통은 자구와 인편번식, 조직배양을 이용하여 번식 및 양구한 후 1, 2차 생육특성 검정을 실시하였다. 2018년 3차 생육특성검정 및 소비자 기호도 평가를 수행한 결과 화색 및 화형에 대한 기호도가 높은 분홍색(RHS, RP62C)의 조기개화성 절화용 OT 종간잡종 나리 ‘Pink Bella’를 육성하였다. 3배체의 OT 종간잡종 나리로 초장은 131.7cm로 초장신장성이 우수하였다. ‘Pink Bella’의 화폭은 18.6cm이며 대조품종 ‘Table Dance’의 18.4cm와 유사한 크기였으며, 내화피의 폭, 길이 역시 대조품종과 통계적인 차이가 없었다. ‘Pink Bella’의 개화기는 6월 15일로 대조품종 ‘Table Dance’의 6월 28일에 비교하여 개화기가 13일 단축된 것으로 나타났으며 통계적으로 유의하였다.

Predictive maintenance has been one of important applications of data science technology that creates a predictive model by collecting numerous data related to management targeted equipment. It does not predict equipment failure with just one or two signs, but quantifies and models numerous symptoms and historical data of actual failure. Statistical methods were used a lot in the past as this predictive maintenance method, but recently, many machine learning-based methods have been proposed. Such proposed machine learning-based methods are preferable in that they show more accurate prediction performance. However, with the exception of some learning models such as decision tree-based models, it is very difficult to explicitly know the structure of learning models (Black-Box Model) and to explain to what extent certain attributes (features or variables) of the learning model affected the prediction results. To overcome this problem, a recently proposed study is an explainable artificial intelligence (AI). It is a methodology that makes it easy for users to understand and trust the results of machine learning-based learning models. In this paper, we propose an explainable AI method to further enhance the explanatory power of the existing learning model by targeting the previously proposedpredictive model [5] that learned data from a core facility (Hyper Compressor) of a domestic chemical plant that produces polyethylene. The ensemble prediction model, which is a black box model, wasconverted to a white box model using the Explainable AI. The proposed methodology explains the direction of control for the major features in the failure prediction results through the Explainable AI. Through this methodology, it is possible to flexibly replace the timing of maintenance of the machine and supply and demand of parts, and to improve the efficiency of the facility operation through proper pre-control.

The role of transient receptor potential vanilloid receptor-1 (TRPV1) has been primarily investigated in pain sensory neurons. Relatively, little research has been performed in testicular cells. TRPV1 is abundantly expressed in Leydig cells of young adult mice. This study was conducted to determine the role of the TRPV1 channel in Leydig cells. TRPV1 modulators and testosterone were treated to the mouse Leydig cell line TM3 cells for 24 h. Capsaicin, a TRPV1 activator, dose-dependently induced cell death, whereas capsazepine, a TRPV1 inhibitor, inhibited capsaicin-induced cell death. Testosterone treatment reduced capsaicin-induced cell death. High concentrations of testosterone decreased TRPV1 mRNA and protein expression levels. However, TRPV1 modulators did not affect testosterone production. These results showed that capsaicin induced cell death of Leydig cells and that testosterone reduced capsaicininduced cell death. Our findings suggest that testosterone may regulate the survival of Leydig cells in young adult mice by decreasing the expression level of TRPV1.

토종닭의 중요성은 대부분의 농업인 단체에서 자원이 부족한 농업인들을 위한 중요한 사업으로 인식되면서 수년에 걸쳐 증가하고 있다. 그러나 이러한 사업은 낮은 수익률과 비경제적인 문제에 직면 해 있다. 케냐 농축산 연구기구(KALRO) 의 이전 기구이었던 케냐 케냐농업연구기구(KARI)는 토종 닭의 생산성 향상을위한 연구에 앞장서 왔다. KARI의 개량 닭 사양관리 기술은 생산성 저하 문제를 줄이기 위한 연구를 수행 하였다. KALRO는 KOPIA 프로젝트를 통해 지난 5년 동안 Machakos와 Kiambu County의 두 모델 마을에서 기술 이전을 추진 하였다. 본 연구는 KARI의 개량 닭이 식량과 가구 소득에 미치는 영향을 평가하기 위해 수행되었다. 두 카운티 모두 입식률이 2008년 2%에서 증가했으며, 2016년 Machakos County의 시범마을 참여 농업인의 59%와 Kiambu 에서 39%가 입식 한 최고치를 기록하였다. 그러나 병아리 입식은 2017년에 감소하다 다시 2018년에 증가하기 시작하였다. 두 카운티에서 2018 년에 판매 된 계란의 수는 Kiambu카운티에 서 230% 증가하였고, Machakos카운티 시범마을에서는 한 달에 가장 높은 963% 증가를 기록하면서 크게 증가하였다. 이는 주로 연간 180~250개의 알을 낳는 KALRO 개량 닭의 도입에 기인하였다. 이것은 계란 생산과 판매로 식량 및 가구 소득 증가로 이어졌습니다. 이 결과는 KARI 개량 닭이 가정의 식량과 소득 안정에 긍정적인 영향을 미쳤음을 보여주었다.

확산강조 영상은 자기공명영상에서 진단에 매우 중요한 역할을 차지하고 있다. 또한, 높은 b-value를 요구하는 검사가 늘어나는 추세로 확산강조 영상을 얻기 위하여 검사 시간이 길어지게 되며 인공물과 전체적인 신호 감소가 동반하게 된다. 본 연구에서는 확산강조 영상에서 확산 방법을 3스캔 추적 확산강조 영상(3-scan trace diffusion weighted image, tDWI) 에서 DTI의 원리를 적용한 대각선 확산강조 영상(diagonal diffusion weighted image, dDWI)로 변경하여 획득 하였을 때, 두 방법 간의 검사 시간의 단축과 영상을 비교 평가하였다. 농도가 0에서 50%까지 10% 간격인 팬텀을 제작하여 제한된 확산(restrict diffusion)을 단발 스핀에코평면영상(single shot spin echo echo planar, SE-EPI) 기법을 사용하여 검사하였다. 확산 방법을 변경하며 tDWI와 dDWI 검사를 진행하였으며, 획득한 영상을 Image J 프로그램을 이용 하여 농도별 동일한 관심 체적을 설정하여 신호를 측정 후 분석방법은 독립 T-test를 이용하고, 통계적 분석은 SAS를 통해 신호 대 잡음 비와 대조도 대 잡음 비를 비교·분석하였다. p-value 0.05를 기준으로 유의성을 검증하였다. b0를 제외한 b100 이상은 전반적으로 신호 대 잡음 비, 대조도 대 잡음 비가 크며, p-value 0.05 이상으로 나타났다. 확산 방법 간 유의하지 않지만, 전반적으로 dDWI이 tDWI에 비해 평균이 높았다. dDWI 방법이 tDWI에 비해 화질의 변화 없이 검사 시간이 18.35% 단축되는 효과가 있으며, 신호 대 잡음 비와 대조도 대 잡음 비가 소폭 향상된 것으로 나타나 다른 부위의 확산강조 영상을 사용하는 검사에 적용 시 유용할 것으로 사료 된다.