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.

This study investigated chlorpheniramine maleate (CPM) residues in milk of intramuscularly dosed dairy cows and established the withdrawal time (WT) of CPM in milk. Sixteen healthy Holstein cows were injected with 10 (CPM-1) and 20 mL (CPM-2) of the drug containing 4 mg/mL of CPM, respectively. After administration of CPM, milk samples were collected from all cows at 12 hour intervals for 5 days. CPM residue concentrations in milk were determined using LC-MS/MS. The correlation coefficient of the calibration curve was 0.9956, and the limits of detection and quantification (LOQ) were 0.6 and 1.0 μg/kg, respectively. Recoveries ranged between 98.5-115.0%, and coefficient of variations were less than 10.96%. After treatment, CPM in CPM-1 and CPM-2 was detected below the LOQ in all milk samples at 12 hours. According to the European Medicines Agency’s guideline on determination of withdrawal periods for milk, withdrawal periods of both CPM-1 and CPM-2 in milk were established to 12 hours. In conclusion, the developed analytical method is sensitive and reliable for detection of CPM in milk, and the estimated WT of CPM in bovine milk will contribute to ensuring the safety of milk.

인터넷과 빅데이터 시대에 혼돈을 기반으로 한 디지털 영상암호화 알고리즘에 대한 연구는 정보보안 분야 의 연구 핫스팟 중 하나가 되었다. 기존의 텍스트 데이터에 비해 디지털 이미지는 데이터의 양이 많고 중복 성이 높은 특성을 가지고 있습니다. DES, AES 및 RSA와 같은 기존 방법은 디지털 이미지 암호화 요구 사 항을 충족할 수 없습니다. 초기 민감도와 고유한 임의성 때문에 카오스는 암호화의 혼란 및 확산 개념과 매 우 일치하므로 카오스 이미지 암호화에 대한 연구가 빠르게 발전했습니다. 본 논문에서는 주로 혼돈 영상 암호화에 대한 연구를 수행한다. 평문 영상에 대한 키 의존성을 목표로 비트 평면과 개선된 로지스틱 맵 기 반 영상 암호화 알고리즘을 제안한다. 알고리즘은 스크램블된 일반 텍스트 이미지의 낮은 4비트 비트 매트 릭스를 개선된 물류 맵의 제어 매개변수로 사용하여 일반 텍스트 이미지에 대한 키의 종속성을 높이고 놀 라운 일회성 비밀 특성을 갖습니다. 서로 다른 비트의 이미지 정보에 따라 서로 다른 강도의 암호화 알고리 즘을 설계하여 알고리즘의 효율성을 높입니다. 영상 암호화의 확산 모드를 목표로 하이퍼 카오스 시스템과 블록 모듈로 기반의 영상 암호화 알고리즘을 제안한다. 알고리즘은 하이퍼 카오스 시스템을 사용하여 카오 스 시퀀스를 반복적으로 생성하고, 암호화된 픽셀 주위에 임의의 이미지 블록을 분할하고, 블록의 픽셀 값 에 대해 적분 모듈로 연산을 수행하여 암호화된 픽셀 회색 값을 얻음으로써 확산 범위를 효과적으로 확장 하고 확산의 무작위성을 향상시킵니다.

While the use of metadiscourse in L2 writing has received considerable attention in the past, little effort has been made to examine how L2 writers’ use of metadiscourse in academic writing has evolved over time. In addressing this, the present study explored a diachronic evolution of interactional metadiscourse in research articles (RAs) published across a span of 40 years (1980-2021) in English Teaching. Based on 931 articles consisting of 6.4 million words, we examined whether the use of interactional metadiscourse has changed over the past 40 years. Our findings revealed that there was a global decrease in interactional metadiscourse over the past 40 years. While the frequency and diversity of interactional metadiscourse have slightly decreased over time, the proportion of each metadiscourse category remained consistent. The study further suggests that Korean L2 scholars who publish in English Teaching tend to hedge more than they boost or use attitude markers compared to those who publish in global journals.

Radioactively contaminated metal components from a nuclear power plant must be decontaminated to reduce the risk of radiation exposure to workers, which can be cleaned using a foam decontamination used to reduce the amount of wastewater significantly. Metal components with a fixed radioactive contamination can be effectively decontaminated using a foam consist of 0.5wt% nonionic surfactant, 0.5 M H2SO4, and 0.2 M Ce(SO4)2. However, strongly acidic wastewater is generated from the decontamination method, which contains a high concentration of the nonionic surfactant and ionic materials with radioactive nuclides. This wastewater must be treated as a stable form. In this study, an integrated process of precipitation and low pressure distillation was evaluated for the treatment of wastewater. It was confirmed that the surfactant and ionic materials were effectively removed from the wastewater through the integrated process.

In order to monitor the long-term condition of structures in nuclear waste disposal system and evaluate the degree of damage, it is necessary to secure quantitative monitoring, diagnosis, and prediction technology. However, at present, only simple monitoring or deterioration evaluation of the structure is being performed. Recently, there is a trend to develop monitoring systems using artificial intelligence algorithms, such as to introduce artificial intelligence-based failure diagnosis technology in nuclear power plant facilities. An artificial intelligence algorithm was applied to distinguish the noise signal and the destructive signal collected in the field. This can minimize false alarms in the monitoring system. However, it is difficult to apply artificial intelligence to industrial sites only by learning through laboratory data. Therefore, a database of noise signals and destructive signals was constructed through laboratory data, and signals effective for quantitative soundness determination of structures were separated and learned. In addition, an adaptive artificial intelligence algorithm was developed to enable additional learning and adaptive learning using field data, and its performance was verified through experiments.

This paper presents a strategic adoption model for blockchain technology in nuclear nonproliferation by analysing the implementation of legally binding agreements and leveraging results from governmentleading sectors. Blockchain has been emerging as not only a single promising technology but a foundational one which can be combined with diverse sectors. From the national point of view, it is imperative that the government formulates policy for fostering blockchain-related industries, thereby, gaining a competitive advantage at the national level. Accordingly, the Korean government has established the Blockchain Technology Development and Diffusion Strategies in 2018 and 2020, respectively, to verify the technology by supporting pilot projects for apposite industries, such as customs clearance, transhipment of containers, record-keeping of meat processing, and smart contracts. In addition, the strategies announce to support liaison with regulatory sandbox and cooperation between the projects. Internationally, on the other hand, nuclear nonproliferation imposes the duties of verifying that member states under the NPT and the Safeguards Agreement obey the IAEA mandate, “Atoms for Peace and Development”. Similarly, bilateral nuclear cooperation agreements and administrative arrangements specify reporting obligations for the origin and history records of the Trigger List items. Meanwhile, commercial and industrial secrets and other confidential information of any entities involved have to be securely protected. Provided accompanying activities accomplish the integrity of records and mutual transparency, it brings more credibility, and further, the competitiveness of the state’s nuclear industry. In conclusion, the tasks that the Republic of Korea implements as an exemplary country complying with the nuclear nonproliferation regime have many similarities with the pilot projects that have been or are being carried out under national strategies for fostering blockchain technology elsewhere. This implies that the leveraging of the subsets can derive a new competitive model in blockchain adoption that contributes to the competitiveness of the national nuclear industry due to the advanced nuclear regulations.

The prevalence of cancer in companion dogs is growing nowadays with the increasing worldwide population of domestic dogs. Since there is a less established standard of care in veterinary medicine, investigational treatments, such as the development of biomarkers can be considered as a therapeutic intervention for early diagnosis. Despite the enormous efforts that have been invested in the search of biomarkers, still, there is a need for easy detection of significant biological markers for predicting canine cancers at an early stage. In this study, we have analyzed the expression pattern of previously reported 46 canine cancer-associated candidate genes in blood specimens using real-time qPCR. We hypothesized that analysis of gene expression in blood would provide preliminary evidence of local or systemic immunogenic response which further contribute to the easy and early diagnosis of canine cancer from blood specimen as an analytical tool. The datasets included a total of 22 blood samples collected from different breeds of dogs diagnosed with cancer and five from healthy normal dogs. RT-qPCR analysis was performed by employing the SYBR Green PCR mix to assess the expression of these 46 genes in a total of 27 samples. From our result, a total of nine genes (ROS1, C1QA, CD48, IL1b, TLR2, IL2R, CHI3L1, CTSS, and TLR7) were found to be significantly up-regulated (p < 0.05 and p < 0.01) in the cancer samples compared to non-cancer samples. The relative expression level of ROS1, C1QA, CD48, IL1b, TLR2, IL2R, CHI3L1, CTSS, and TLR7 genes was 5.74, 4.78, 3.94, 2.94, 2.57, 2.53, 2.50, 2.04, and 2.57, respectively, in cancer samples compared to non-cancer samples. Thus, our results reveal several highly expressed cancer genes that can be therapeutic target genes for further testing in canine cancers.