• Journal of Microbiology
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• v.45 no.6
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• pp.499-504
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• 2007

A new antagonistic strain of actinomycete, designated AP19-2, was isolated from the feces of giant pandas inhabiting the Foping National Nature Reserve in China. Cultural characteristic studies strongly suggested that this strain is a member of the genus Streptomyces. The nucleotide sequence of the 16S rRNA gene of strain AP19-2 evidenced profound similarity (97-99 %) with other Streptomyces strains. Two pure active molecules were isolated from a fermentation broth of Streptomyces sp. strain AP19-2 via extraction, concentration, silica gel G column chromatography, and HPLC. The chemical structures of the two related compounds (referred to as chromomycin $A_2$ and chromomycin $A_3$) were established on the basis of their Infrared spectra (IR), High Resolution Electrospray Ionization Mass Spectrometry (HR-ESI-MS), and Nuclear Magnetic Resonance (NMR) data, and by comparison with published data.

• Journal of Veterinary Clinics
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• v.12 no.1
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• pp.897-904
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• 1995

Two giant pandas, which come from China have been roared in Yong-in Farmland zoo since 1994. One of them, which is female and 2 years old showed anorexia, mucous diarrhea and severe abdominal pain. It revealed neutrophilia and hypokalemia which suggested inflammation and loss of electrolytes by diarrhea. The mucous material contained intestinal mucoid epithelim which was infected Gram negative bacilli and infiltrated with neutrophils. The antibacterial therapy with nafcillin and ampicillin was not successful. Yersinia entrocolitica was implicated as a causative organism in the occurrence of bacterial enteritis. This organism had resistance to ampicillin, chlorampenicol, cefalothin, tetracycline, trimetoprim-sul-famethoxazole, erythromycin, gentamicin, kanamycin, carbanicillin and danofloxacin. It responded to the simultaneous administration of cefopherazone, flunixin-meglumine, physiological saline, Lactate Rainger's solution, sodium bicarbonate, KCL and vitamins and recovered after a period of 30days.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.2
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• pp.27-31
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• 2023

Purpose: Establishment of a real-time monitoring system for odor control in traditional markets in Gangwon-do and a system for linking prevention facilities. Research design, data and methodology: Build server and system logic based on data through real-time monitoring device (sensor-based). A temporary data generation program for deep learning is developed to develop a model for odor data. Results: A REST API was developed for using the model prediction service, and a test was performed to find an algorithm with high prediction probability and parameter values optimized for learning. In the deep learning algorithm for AI modeling development, Pandas was used for data analysis and processing, and TensorFlow V2 (keras) was used as the deep learning library. The activation function was swish, the performance of the model was optimized for Adam, the performance was measured with MSE, the model method was Functional API, and the model storage format was Sequential API (LSTM)/HDF5. Conclusions: The developed system has the potential to effectively monitor and manage odors in traditional markets. By utilizing real-time data, the system can provide timely alerts and facilitate preventive measures to control and mitigate odors. The AI modeling component enhances the system's predictive capabilities, allowing for proactive odor management.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.1-6
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• 2024

In this paper, we develop an AI-based recommendation system that matches the specifications of smartphones from company 'S'. The system aims to simplify the complex decision-making process of consumers and guide them to choose the smartphone that best suits their daily needs. The recommendation system analyzes five specifications of smartphones (price, battery capacity, weight, camera quality, capacity) to help users make informed decisions without searching for extensive information. This approach not only saves time but also improves user satisfaction by ensuring that the selected smartphone closely matches the user's lifestyle and needs. The system utilizes unsupervised learning, i.e. clustering (K-MEANS, DBSCAN, Hierarchical Clustering), and provides personalized recommendations by evaluating them with silhouette scores, ensuring accurate and reliable grouping of similar smartphone models. By leveraging advanced data analysis techniques, the system can identify subtle patterns and preferences that might not be immediately apparent to consumers, enhancing the overall user experience. The ultimate goal of this AI recommendation system is to simplify the smartphone selection process, making it more accessible and user-friendly for all consumers. This paper discusses the data collection, preprocessing, development, implementation, and potential impact of the system using Pandas, crawling, scikit-learn, etc., and highlights the benefits of helping consumers explore the various options available and confidently choose the smartphone that best suits their daily lives.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.24 no.3
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• pp.151-156
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• 2013

Objectives : It has been reported that higher percentage of B cells react with monoclonal D8/17 antibody in patients with rheumatic fever, childhood onset obsessive-compulsive disorder, Tourette's disorder, or prepubertal anorexia nervosa. The purpose of this study is to replicate the previous studies in a Korean young population with tic disorder and to identify any relationship between D8/17 and clinical symptoms. Methods : The binding of D8/17 to B cells was determined in patients with tic disorder (N=21) and healthy controls (N=9) by Fluorescence-Activated Cell Sorter analysis. Results : In the sample examined by this study, the average percentage of B cells expressing D8/17 in tic disorder was 2.05%; healthy controls was 3.15%. No statistically significant differences were found in the mean percentages of D8/17 between the two groups. Conclusion : The expression of D8/17 in B cells was very low in this study. No subjects with tic disorder or healthy controls was above 12% in D8/17 positive proportion. Further studies, including higher number of patients and control group members, should be performed.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3854-3859
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• 2023

Background: This study aims to develop an evaluator that can quickly and accurately evaluate the shielding of low-energy industrial radiation generators. Methods: We used PyQt to develop a graphical user interface (GUI)-based program and employed the calculation methodology reported in the National Council on Radiation Protection and Measurements (NCRP)-49 for shielding calculations. We gathered the necessary factors for shielding evaluation using two libraries designed for Python, pandas and NumPy, and processed them into a database. We verified the effectiveness of the proposed program by comparing the results with those from safety reports of six domestic facilities. Results: After verifying the effectiveness of the program using the NCRP-49 example, we obtained an average error rate of 1.73%. When comparing the facility safety report and results obtained using the program, we found that the error rate was between 1.09% and 6.51%. However, facilities that did not use a defined shielding methodology were underestimated by 31.82% compared with the program (the final barrier thickness satisfied the shielding standard). Conclusion: The developed program provides a fast and accurate shielding evaluation that can assist personnel that work in radiation generator facilities and government officials in reviewing safety.