• Korean Journal of Poultry Science
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• v.26 no.2
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• pp.81-84
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• 1999

Chicken has been one of the most useful animals for life. They have been not only one of the most economical and adundant sources of valuable nutrients, but also the very good experimental animal to develop modern sciences. In Japan, eggs laid by the chickens have long been good sources of cash income for farmers and in many cases even for Samurais. Although nearly 50 millions of chickens were raised and they were of considerable importance in Japanese agricultre before the World War II, the industrialization or specializatin started after the War, Substantiallysince the 1960s. Among other spcies of poultry then chickens, ducks and Japanese quails are of some importane in Japan. Duck meat is often used in various cuisines at higher class restaurants and Japanese quail eggs are widely used. Hower those those species of commpared with chickens.

• Journal of Microbiology and Biotechnology
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• v.25 no.7
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• pp.1154-1162
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• 2015

The emergence of carbapenem resistance among Pseudomonas aeruginosa is an increasing problem in many parts of the world. In particular, metallo-$\beta$-lactamases (MBLs) and AmpC $\beta$lactamases are responsible for high-level resistance to carbapenem and cephalosporin. We studied the diversity and frequency of $\beta$-lactamases and characterized chromosomal AmpC $\beta$lactamase from carbapenem-resistant P. aeruginosa isolates. Sixty-one carbapenem-resistant P. aeruginosa isolates were collected from patients in a tertiary hospital in Daejeon, Korea, from January 2011 to June 2014. Minimum inhibitory concentrations (MICs) of four antimicrobial agents were determined using the agar-dilution method. Polymerase chain reaction and sequencing were used to identify the various $\beta$-lactamase genes, class 1 integrons, and chromosomally encoded and plasmid-mediated ampC genes. In addition, the epidemiological relationship was investigated by multilocus sequence typing. Among 61 carbapenem-resistant P. aeruginosa isolates, 25 isolates (41.0%) were MBL producers. Additionally, 30 isolates producing PDC (Pseudomonas-derived cephalosporinase)-2 were highly resistant to ceftazidime (MIC₅₀ = $256{\mu}g/ml$) and cefepime (MIC₅₀ = $256{\mu}g/ml$). Of all the PDC variants, 25 isolates harboring MBL genes showed high levels of cephalosporin and carbapenem resistance, whereas 36 isolates that did not harbor MBL genes revealed relatively low-level resistance (ceftazidime, p < 0.001; cefepime, p < 0.001; imipenem, p = 0.003; meropenem, p < 0.001). The coexistence of MBLs and AmpC $\beta$-lactamases suggests that these may be important contributing factors for cephalosporin and carbapenem resistance. Therefore, efficient detection and intervention to control drug resistance are necessary to prevent the emergence of P. aeruginosa possessing this combination of $\beta$-lactamases.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3383-3397
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• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.

• Journal of information and communication convergence engineering
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• v.21 no.3
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• pp.208-215
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• 2023

Deep learning techniques provide powerful solutions to several pattern-recognition problems, including Raman spectral classification. However, these networks require large amounts of labeled data to perform well. Labeled data, which are typically obtained in a laboratory, can potentially be alleviated by data augmentation. This study investigated various data augmentation techniques and applied multiple deep learning methods to Raman spectral classification. Raman spectra yield fingerprint-like information about chemical compositions, but are prone to noise when the particles of the material are small. Five augmentation models were investigated to build robust deep learning classifiers: weighted sums of spectral signals, imitated chemical backgrounds, extended multiplicative signal augmentation, and generated Gaussian and Poisson-distributed noise. We compared the performance of nine state-of-the-art convolutional neural networks with all the augmentation techniques. The LeNet5 models with background noise augmentation yielded the highest accuracy when tested on real-world Raman spectral classification at 88.33% accuracy. A class activation map of the model was generated to provide a qualitative observation of the results.

• The Journal of Korean Association of Computer Education
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• v.17 no.2
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• pp.65-76
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• 2014

This paper aims at implementing experimental devices with which middle school students can explore scientific ideas using GoGo Board and NetLogo that connect real and simulated worlds. Related research literature was reviewed to design a simulation-based learning model using computer simulation and robot-related activities. In order to construct devices for exploratory experiments, GoGo Board was adopted for developing the interface of Micro-Based Laboratory(MBL) devices with several sensors while NetLogo was used for connecting MBL devices (real world) and simulated experiments (virtual world). The simulation contents were developed in the area of heat equilibrium for changing temperature and the conduct-current relationship appeared in the textbook of middle school science class. With the developed device and contents students can visualize the change of temperature cold and hot waters in terms of heat equilibrium. They also can measure the change of conductor representing the relationship between conductor and current. The formative evaluation of the contents carried out with several middle school students indicated the future direction for upgrading simulation contents and interface. The results might be beneficial for science educators who want to apply simulation contents with the use of computers.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.49-57
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• 2019

In this paper, we describe the implementation methods and algorithms for the various technologies and devices required for the construction of the engagement HILS(Hardware In the Loop Simulation) in the limited space to simulate the high-speed maneuvering encounter situation of the weapon system in 3-dimensional real world space. Through this research, we have been able to suggest ways to analyze the major design elements of future electronic warfare equipment through experiments simulating actual engagements between various high-speed maneuvering weapons systems and electronic warfare devices in the future battlefield. It was confirmed that the M&S technology could be used to eliminate technical risks, reduce development cost, and shorten development time in the future real system development. The results of this study can be a great assist not only for the field of electronic warfare system research and development, but also for the research & implementation on HILS of various engaging class weapons systems.

• Korean Journal of Environmental Biology
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• v.26 no.1
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• pp.22-29
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• 2008

Bombina orientalis, or Korean fire-bellied toad is belonging to Class Amphinia, Order Anura, Family Bombinatoridae, Genus Bombina. Ecological characteristics, such as small size, slow moving and swimming, gentle attitude to other species, under laboratory and/or wild condition lead the toad as suitable experimental animals with easy handling. Seasonal reproductive biology except breeding season (usually from Apr. to late Jun.) are unknown still caused by sampling methods for hibernating specimens have not been established yet. Most species of amphibian, include B. orientalis, are declined around the world related with global warming, therefore, wild caught specimen for any purposes must be limited controled soon. Even though, some pre-studies of biotope for increasing biodiversity have been reported, construction of an artificial biotope to get natural breeding cycling specimen for study of amphibian reproduction is unique modelling and only trial. In an effort to set year-round sampling for study of reproduction of B. orientalis, we suggest protocols for planning, construction manual and SOP(Standard Operation Process) to manage amphibian biotope. During pilot operation of a designed and constructed biotope, the seasonal acclimation during winter hibernation of B. orientalis were successful. It will be helpful for studying the reproductive biology of wild amphibians in temperate region and allow to get reasonable research conditions in amphibian laboratory.

• Biomedical Science Letters
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• v.13 no.1
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• pp.47-53
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• 2007

Due to wide abuse of antibiotics both in human and livestock use, the advent and spread of multidrug resistant (MDR) pathogens becomes a serious health problem all over the world. Since the development of new antibiotics is at a standstill in pharmaceutical industry, the choice of therapeutic antibiotics is getting narrower. In this study, in an effort to search new antibiotics, the antimicrobial activity of Paenibacillus DY1 isolated from Korean soil was characterized on its growth inhibition spectrum against various health threatening MDR strains, with its stability and chemical structure. Extracellular culture filtrate of Paenibacillus DY1 effectively inhibits the growth of all the tested MDR enteropathogenic Eshcherichia coli, enterohemolytic E. coli, and enterotoxigenic E. coli strains, at a similar level to that on the nonresistant control E. coli strains. It showed significant growth inhibition effect against the causative agents of class one legal communicable disease, MDR Salmonella typhi, MDR Salmonella paratyphi A, food poisoning bacteria, MDR Salmonella typhimurium, and other MDR Salmonella spp. The growth of all of 10 different MDR Shigella spp. strains and 6 different Vibrio spp. strains tested was also inhibited. The antimicrobial activity of Paenibacillus DY1 was well preserved after heat treatment, and was also stable in both alkaline and acidic environment. The antimicrobial activity was partially purified with Diaion HP20 column and TLC. By NMR study, the putative structure of the activity was postulated as an alkane having hydroxyl groups.

• Molecules and Cells
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• v.37 no.2
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• pp.161-171
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• 2014

In several lysosomal storage disorders, including Niemann-Pick disease Type C (NP-C), sphingolipids, including glycosphingolipids, particularly gangliosides, are the predominant storage materials in the brain, raising the possibility that accumulation of these lipids may be involved in the NP-C neurodegenerative process. However, correlation of these accumulations and NP-C neuropathology has not been fully characterized. Here we derived NP-C mice with complete and partial deletion of the Siat9 (encoding GM3 synthase) gene in order to investigate the role of ganglioside in NP-C pathogenesis. According to our results, NP-C mice with homozygotic deletion of GM3 synthase exhibited an enhanced neuropathological phenotype and died significantly earlier than NP-C mice. Notably, in contrast to complete depletion, NP-C mice with partial deletion of the GM3 synthase gene showed ameliorated NP-C neuropathology, including motor disability, demyelination, and abnormal accumulation of cholesterol and sphingolipids. These findings indicate the crucial role of GM3 synthesis in the NP-C phenotype and progression of CNS pathologic abnormality, suggesting that well-controlled inhibition of GM3 synthesis could be used as a therapeutic strategy.

• Journal of the Korean Chemical Society
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• v.46 no.5
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• pp.450-468
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• 2002

As the computer is popularized in individual and society, it is using in a many of area. In particular, there are many materials to learn a science knowledge using multimedia through computer. Many of them are web-based learning materials, which are developed by Java or Flash. Since the technology of the representation, storage, com-putation and communication in computer make progress, the environment of education is also developed. Especially, the internet and VR technology will cause the education to change. A key feature of VR is real-time interactivity, in that the computer is able to detect student input and instantaneously modify the virtual world. It is reported that using the VR simulation in chemistry education can increase student engagement in class, promote understanding of basic chem-ical principles, and augment laboratory experience. In this study, application way of the virtual reality technology in chemistry education is examined.