• Journal of Veterinary Science
• /
• v.24 no.5
• /
• pp.73.1-73.16
• /
• 2023

Background: Highly pathogenic avian influenza virus (HPAIV) is considered a global threat to both human health and the poultry industry. MicroRNAs (miRNA) can modulate the immune system by affecting gene expression patterns in HPAIV-infected chickens. Objectives: To gain further insights into the role of miRNAs in immune responses against H5N1 infection, as well as the development of strategies for breeding disease-resistant chickens, we characterized miRNA expression patterns in tracheal tissues from H5N1-infected Ri chickens. Methods: miRNAs expression was analyzed from two H5N1-infected Ri chicken lines using small RNA sequencing. The target genes of differentially expressed (DE) miRNAs were predicted using miRDB. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were then conducted. Furthermore, using quantitative real-time polymerase chain reaction, we validated the expression levels of DE miRNAs (miR-22-3p, miR-146b-3p, miR27b-3p, miR-128-3p, miR-2188-5p, miR-451, miR-205a, miR-203a, miR-21-3p, and miR-200a3p) from all comparisons and their immune-related target genes. Results: A total of 53 miRNAs were significantly expressed in the infection samples of the resistant compared to the susceptible line. Network analyses between the DE miRNAs and target genes revealed that DE miRNAs may regulate the expression of target genes involved in the transforming growth factor-beta, mitogen-activated protein kinase, and Toll-like receptor signaling pathways, all of which are related to influenza A virus progression. Conclusions: Collectively, our results provided novel insights into the miRNA expression patterns of tracheal tissues from H5N1-infected Ri chickens. More importantly, our findings offer insights into the relationship between miRNA and immune-related target genes and the role of miRNA in HPAIV infections in chickens.

• Smart Media Journal
• /
• v.12 no.10
• /
• pp.55-62
• /
• 2023

Innovation and change are occurring rapidly in the agriculture and livestock industry, and new technologies such as smart bams are being introduced, and data that can be used to control equipment is being collected by utilizing various sensors. However, there are various challenges in the operation of bams, and virtual sensor technology is needed to solve these challenges. In this paper, we define various data items and sensor data types used in livestock farms, study cases that utilize virtual sensors in other fields, and implement and design a virtual sensor system for the final smart livestock farm. MBE and EVRMSE were used to evaluate the finalized system and analyze performance indicators. As a result of collecting and managing data using virtual sensors, there was no obvious difference in data values from physical sensors, showing satisfactory results. By utilizing the virtual sensor system in smart livestock farms, innovation and efficiency improvement can be expected in various areas such as livestock operation and livestock health status monitoring. This paper proposes an innovative method of data collection and management by utilizing virtual sensor technology in the field of smart livestock, and has obtained important results in verifying its performance. As a future research task, we would like to explore the connection of digital livestock using virtual sensors.

• Industry Promotion Research
• /
• v.8 no.4
• /
• pp.37-46
• /
• 2023

Due to the aging, advancement, and complexity of chemical facilities, non-routine work such as facility inspection, repair, or maintenance work is increasing. Of the 1,483 accidents that occurred over the past 10 years at chemical product manufacturing sites subject to PSM, accidents that occurred during non-routine work accounted for 56% (932 Cases) of the total. It can be seen that more accidents occur during non-routine work than during routine work. In particular, in order to improve the economy and efficiency of factory operation, there are cases where some facilities are stopped without stopping the entire factory and then inspection, repair, or maintenance work is performed while isolated from the operating facilities. Therefore, first, a safe isolation method must be selected by establishing an isolation standard (Baseline Isolation Standard) based on the chemicals handled, operating conditions, and risk level of the equipment in the chemical plant. Second, since current domestic laws and standards do not suggest the need for specific quarantine standards, it is necessary to institutionalize the preparation of quarantine standards. Technical and institutional improvements are needed to prevent fires, explosions, and poisoning accidents caused by leaks of chemical substances.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.17-23
• /
• 2023

This study purports to explore the landscape of welfare attitudes of young generation of Korea in their 20s and 30s focusing upon potential differences from those of older generations. Korea has recently been in the significant debate on pension reform and the disadvantages of relatively young generations has been on of the most crucial issues during the reform. Survey data from 17th Korean Welfare Panel are analyzed and such variable as attitudes toward government expenditure on public pension, health care, old age support, poverty, family and child care and so on. In addition, welfare-related variables such as universalism vs selectivism, tax increase for welfare expenditure, and political orientation are to be analyzed. The results show several findings. First of all, correspondence analysis shows that young generation in Korea are strongly associated with higher education and full time employment compared to older generations. Secondly, the most interested welfare issues of young generations are housing and child support. Moreover, young generations' attitudes toward government expenditure increase differ from those of older generations on the issues of public pension, housing, and family and child support. Lastly, political orientation of those young generation tend to be progressive and they support universalism in welfare policy, but they do not support tax increase for welfare purpose, which, I would say, is inconsistent.

• Journal of Oriental Neuropsychiatry
• /
• v.34 no.4
• /
• pp.335-347
• /
• 2023

Objectives: The study aimed to understand the current treatment patterns in Korean medicine to develop clinical practice guidelines for autonomic dysfunction in Korean medicine. Methods: This study sent an online survey vai text message to 25,900 Korean medicine doctors whose contact information was registered with the Association of Korean Medicine. A total of 1,410 Korean medical doctors completed the online survey. Results: When autonomic treating dysfunction clinically, 77% of the cases included only a description without entering a diagnosis code. The most commonly used information to diagnose o autonomic dysfunction was history-taking and symptoms (79%), and the main symptoms of autonomic dysfunction were palpitations, dizziness, sleeping difficulties, anxiety/nervousness, and depression/lethargy. The most frequently mentioned cause of autonomic dysfunction was mental problems (54%). The most commonly used Korean medicine treatment method for autonomic dysfunction was herbal medicine (70%), and Soyo-san/Gamisoyo-san is the most frequently used herbal medicine preparation. Liver qi depression used to indicate the most often mentioned Korean medicine pattern identification used to indicate autonomic dysfunction (31%). When asked whether cardiac neurosis in Chinese medicine can be considered autonomic dysfunction, opinions for and against it are determined almost equally. Conclusions: Our results serve are a foundation for developing clinical practice guidelines for autonomic dysfunction in Korean medicine and are expected to catalyst promoting future clinical research on autonomic dysfunction.

• Animal Bioscience
• /
• v.37 no.5
• /
• pp.952-961
• /
• 2024

Objective: Stocking density (SD) is an important issue in the poultry industry, which is related to the production performance, intestinal health and immune status. In the present study, the effects of SD on the metabolism and homeostasis of uric acid as well as the related functions of the liver and kidney in ducks were examined. Methods: A total of 360 healthy 56-day-old Shan-ma ducks were randomly divided into the low stocking density (n = 60, density = 5 birds/m²), medium stocking density (n = 120, density = 10 birds/m²) and high stocking density groups (HSD; n = 180, density = 15 birds/m²). Samples were collected in the 3rd, 6th, and 9th weeks of the experiment for analysis. Results: The serum levels of uric acid, lipopolysaccharide and inflammatory cytokines (interleukin-1β [IL-1β], IL-8, and tumor necrosis factor-α [TNF-α]) were increased significantly in the HSD group. Serious histopathological lesions could be seen in both the livers and kidneys in the HSD group in the 9th week. The mRNA expression levels of inflammatory cytokines (IL-8 and TNF-α) and related pathway components (toll-like receptor 4, myeloid differentiation primary response gene 88, and nuclear factor-κB) were increased significantly in both the livers and kidneys in the HSD group. The mRNA expression levels of enzymes (adenosine deaminase, xanthine oxidase, phosphoribosyl pyrophosphate amidotransferase, and phosphoribosyl pyrophosphate synthetase 1) related to the synthesis of uric acid increased significantly in the livers in the HSD group. However, the mRNA expression level of solute carrier family 2 member 9, which plays an important role in the excretion of uric acid by the kidney, was decreased significantly in the kidneys in the HSD group. Conclusion: These results indicated that a higher SD could cause tissue inflammatory lesions in the liver and kidney and subsequently affect the metabolism and homeostasis of uric acid, and is helpful for guiding decisions related to the breeding and production of ducks.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.57 no.2
• /
• pp.116-121
• /
• 2024

The meats of tuna Thunnus albacares and swordfish Xiphias gladius are ideal for fish patty production, offering high nutrition and other health benefits. Although red fish meat, including tuna, is added for cost-effectiveness, swordfish white meat is also used, as its aroma resembles that of market-sold beef patties. Here, we assessed the different blending ratios of tuna red meat and swordfish white meat (60:40, 40:60, 20:80, and 0:100) to find the optimal combination for fish patty production. Regarding color, the heated fish patties exhibited increased redness (a*) and yellowness (b*) compared with those of non-heated ones, with similar brightness (L*). The heated patties also scored higher concerning hardness, springiness, gumminess, and chewiness. A higher proportion of swordfish white meat resulted in a softer texture, particularly in patties with a ratio of 40% red meat to 60% white meat. Considering the results of the texture comparison analysis, it is recommended that the texture be improved by increasing the physical property "softness." Sensory evaluations revealed that the addition of white meat led to increased scores in terms of smell, beef taste, texture, and elasticity. These results suggest that swordfish white meat, with improved overall quality, is a suitable raw material for fish patties. Accordingly, the recommended ratio of 20% tuna red meat to 80% swordfish white meat is optimal for fish patty production.

• Information Systems Review
• /
• v.22 no.1
• /
• pp.33-57
• /
• 2020

Although cryptocurrency which can promote innovation in the blockchain ecosystem is published for many useful purposes, in Korea, cryptocurrency is recognized only as a means of investment for the profit. The fact emphasizes only the speculative nature of the cryptocurrency, so investor negates the fundamental purpose of cryptocurrency and hinders innovation in the blockchain ecosystem. The purpose of this study is to investigate the cause of cryptocurrency perception and speculative behavior of domestic cryptocurrency investors from an academic perspective. We use a model that reflects the traditional considerations and cryptocurrency's characteristics in investment. Using the model, we can explain the cause of misperception of cryptocurrency through the theory of bounded rationality. In building the research model, we use variables of venture and angel investor's consideration used in investment decisions and collect the keywords from indexes of whitepaper to reflect the properties of cryptocurrency. This study mentions that, due to the imitations presented by Simon, individuals are forced to perceive cryptocurrency as a means of speculation and to make irrational decisions that impair ecosystem health. We analyze whether there is a significant difference in rationality in decision made by the sample under limited knowledge and imperfect information constraints. As a result, imperfect information constraints led investors to consider only irrational criteria in decision making. From this result, this study suggests that information asymmetry needs to be relaxed so that investment can be pursued together with rational investment and development of blockchain ecosystem. In addition, the industry can capture strategic insights for successful financing through ICO by enabling better understanding of investor decision-making.

• Industry Promotion Research
• /
• v.9 no.1
• /
• pp.231-239
• /
• 2024

This study aims to verify the moderated mediating effect of a growth mindset on the effect of academic burnout on academic self-efficacy through study engagement among Chinese college students. Data were collected through a survey targeting 547 college students who were purposively sampled at a junior college in China. The collected data was analyzed using SPSS PC+ Win ver. 25.0 and SPSS PROCESS macro ver. 4.2. The applied statistical methods were frequency analysis, reliability analysis, correlation analysis, and moderated mediation effect analysis. The study showed that academic burnout had a significant negative correlation with growth mindset, study engagement, and academic self-efficacy. On the other hand, growth mindset, study engagement, and academic self-efficacy showed a significant positive correlation. Second, the moderated mediating effect of a growth mindset was verified in the effect of academic burnout on academic self-efficacy through study engagement. Based on these results, this study proposed a method to protect academic self-efficacy by applying study engagement and growth mindset in situations where academic burnout among college students reduces academic self-efficacy.

• Journal of Veterinary Clinics
• /
• v.40 no.6
• /
• pp.399-407
• /
• 2023

Chronic kidney disease (CKD) occurs in more than 15% of the dogs over 10 years of age and causes irreversible renal function deterioration. Therefore, it is important to diagnose CKD early and treat the disease properly. The purpose of this study aimed to to evaluate the clinical utility of urine albumin/creatinine ratio (ACR) using POC (point-of-care) device as an early detection urinary biomarker in CKD dogs and to confirm the correlation between ACR and other known CKD biomarkers. Urine and serum samples were obtained from 50 healthy dogs and 50 dogs with CKD. Serum blood urea nitrogen (BUN), creatinine, and symmetric dimethylarginine (SDMA) concentrations, and urine protein creatinine ratio (UPC) were measured. Urine specific gravity (USG) was evaluated using refractometer, and ACR was measured using an i-SENS A1Care analyzer. The ACR values of dogs with CKD were significantly different from those of healthy dogs (p < 0.001), as with other renal biomarkers. ACR showed significant differences between healthy dogs and dogs with CKD at every IRIS stage (p < 0.005), whereas no significant differences were observed between dogs with CKD IRIS stage I and healthy dogs with UPC. There are significant positive correlation between ACR and BUN (r = 0.611, p < 0.001), creatinine (r = 0.788, p < 0.001), SDMA (r = 0.747, p < 0.001), and UPC (r = 0.784, p < 0.001), and significant negative correlation between ACR and USG (r = -0.700, p < 0.001). In receiver operator characteristic curve analysis, the area under the curve (AUC) was 0.982 (95% CI 0.963-1.000, p < 0.001), with an optimal cut-off value of 64.20 mg/g (94% sensitivity and 94% specificity). Thus, ACR is a useful urinary biomarker for the early diagnosis of proteinuria in CKD and combined use of ACR and other renal biomarkers may be helpful for early diagnosis and prevention of CKD in dogs.