• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.44 no.4
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• pp.312-322
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• 2008

The age and growth of the sandfish, Arctoscopus japonicus were investigated from samples of the eastern sea danish seine and gill net fishery in the East Sea of Korea from February, 2004 to December, 2007. Ages were determined from annuli in otoliths and annuli were formed between December and February once a year. Also, the main spawning period was estimated to be between December and January, thus rings were considered to be annual marks. For the relationship between fork length and total weight, a multiplicative error structure was assumed because variability in growth increased as a function of the length. The relationship between fork length and total weight were $TW=0.0083FL^{3.01}(R^2=0.966)$ for female and $TW=0.0079FL^{3.04}(R^2=0.969)$ for male. The variability in growth was constant as a function of age, revealing an additive error structure. The von Bertalanffy growth parameters estimated by a non-linear method were $L_{\infty}=31.6cm$, K=0.266/year, $t_0=-0.835$ years for female and $L_{\infty}=27.7cm$, K=0.273/year, $t_0=-0.806$ years for male. Growth at age between male and female had a significant difference(P<0.001).

• Journal of Physiology & Pathology in Korean Medicine
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• v.38 no.2
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• pp.49-58
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• 2024

The rapid advancement of generative large language models has revolutionized various real-life domains, emphasizing the importance of exploring their applications in healthcare. This study aims to examine how generative large language models are implemented in the medical domain, with the specific objective of searching for the possibility and potential of integration between generative large language models and East Asian medicine. Through a comprehensive current state analysis, we identified limitations in the deployment of generative large language models within East Asian medicine and proposed directions for future research. Our findings highlight the essential need for accumulating and generating structured data to improve the capabilities of generative large language models in East Asian medicine. Additionally, we tackle the issue of hallucination and the necessity for a robust model evaluation framework. Despite these challenges, the application of generative large language models in East Asian medicine has demonstrated promising results. Techniques such as model augmentation, multimodal structures, and knowledge distillation have the potential to significantly enhance accuracy, efficiency, and accessibility. In conclusion, we expect generative large language models to play a pivotal role in facilitating precise diagnostics, personalized treatment in clinical fields, and fostering innovation in education and research within East Asian medicine.

• Imaging Science in Dentistry
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• v.54 no.3
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• pp.257-263
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• 2024

Purpose: The purpose of this study was to classify mandibular molar furcation involvement (FI) in periapical radiographs using a deep learning algorithm. Materials and Methods: Full mouth series taken at East Carolina University School of Dental Medicine from 2011-2023 were screened. Diagnostic-quality mandibular premolar and molar periapical radiographs with healthy or FI mandibular molars were included. The radiographs were cropped into individual molar images, annotated as "healthy" or "FI," and divided into training, validation, and testing datasets. The images were preprocessed by PyTorch transformations. ResNet-18, a convolutional neural network model, was refined using the PyTorch deep learning framework for the specific imaging classification task. CrossEntropyLoss and the AdamW optimizer were employed for loss function training and optimizing the learning rate, respectively. The images were loaded by PyTorch DataLoader for efficiency. The performance of ResNet-18 algorithm was evaluated with multiple metrics, including training and validation losses, confusion matrix, accuracy, sensitivity, specificity, the receiver operating characteristic (ROC) curve, and the area under the ROC curve. Results: After adequate training, ResNet-18 classified healthy vs. FI molars in the testing set with an accuracy of 96.47%, indicating its suitability for image classification. Conclusion: The deep learning algorithm developed in this study was shown to be promising for classifying mandibular molar FI. It could serve as a valuable supplemental tool for detecting and managing periodontal diseases.

• Journal of Environmental Science International
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• v.21 no.11
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• pp.1407-1418
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• 2012

The purpose of this study is to analyze seasonal variations of seaweed community structure according to ocean environment at three areas in the east coast of Korea. Mean water temperatures of Gosung, Samchuk, and Gyeongju were $8.3^{\circ}C$, $11.2^{\circ}C$, and $13.1^{\circ}C$, respectively, during the growing winter season of 2011. Subtidal benthic macroalgal flora and community structure were investigated at the sites between February to November 2011. The numbers of seaweed species at the areas were 38, 12, and 15, respectively. The amounts of biomass were 7.35 kg $m^{-2}$, 1.80 kg $m^{-2}$, and 0.84 kg $m^{-2}$, respectively, during the period. The values of C/P, R/P, and (R+C)/P representing flora characteristics at Sokcho area were 0.1, 1.1, and 1.2, respectively. The values of flora characteristics at Samchuk were 0.3, 0.6, and 1.0, respectively. The values of flora characteristics at Gyeongju were 0.4, 4.0, and 1.2, respectively.

• Korea Trade Review
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• v.41 no.4
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• pp.293-313
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• 2016

In the East Asian region, the advancement of trade networks is being facilitated, which turns out that economic integration across borders is being advanced due to FTA expansion, freedom of business activity growing through the reform of regulatory system in each country, and the processing of division of labor between processes across borders. Trans-Pacific Partnership(TPP), which is a U.S. led multilateral FTA, was signed on February 4 2016 in Auckland, New Zealand by 12 countries, by which changes in the East Asia Trade Network are also expected. For this reason, this study examined the impact that TPP would have on East Asia Trade Network. According to the result of this study, it was determined that TPP, as the regulation and system which will lead globalization of the supply chain, will change Supply Chain structure and result in a positive effect on Value Chain. This will have a significant impact on the East Asian trade network, and connect to enhanced competitiveness of participating enterprises. In addition, TPP seems to be the basis for realization of FTAAP(Free Trade Area of the Asia-Pacific) in the future, Therefore, Korea who has high Degree of Dependence upon Foreign Trade will have to pay make political effort to effectively deal with this changing trading environment in East Asia.

• The Journal of Korean Medicine
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• v.25 no.4
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• pp.152-160
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• 2004

Objective : Recently, an increasing portion of cancer patients use various therapies of complementary and alternative medicine (CAM) including traditional oriental medicine, which is believed to improve the consequence of cancer according to clinical experience and laboratory data. But the clinical-based systemic statistic validity of these therapies is lacking, so this study was aimed to validate the traditional oriental therapies (TOT) for terminally ill cancer patients. Patients and methods : This retrospective study was performed on 273 patients who were diagnosed with terminally ill cancer in Korea and treated with TOT in the oriental hospital of Daejeon University, from March 1997 to June 2003. We examined the median duration of the terminal period and the correlations between 9 factors and survival of terminally ill cancer patients. Results : During the study period, we could confirm 142 patients' death (52.01%) in 273 subjects. The median length of survival in terminally ill cancer patients was 16 weeks (95%CI 14.0∼20.0) and 40.15% (95%CI 40.07∼40.22) of patients had survived more than 24 weeks. According to Cox's proportional hazard model including gender, age, conventional therapies (chemotherapy, radiotherapy and surgery), performance status and clinical symptoms as independent variables, history of conventional therapies (RR 0.581, 95%CI 0.381∼0.885), higher performance status (RR 1,855, 95%CI 1.454∼2.366) and absence of ascites and pleural effusion (RR 1.631, 95%CI 1.047∼2.538) showed independent prognostic value of survival. Conclusion : Our findings suggest that TOT offer potential benefits for cancer patients at the terminal stage.

• Journal of Microbiology and Biotechnology
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• v.25 no.8
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• pp.1227-1233
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• 2015

Vascular endothelial growth factor (VEGF) plays a key role in angiogenesis through binding to its specific receptors, which mainly occurs to VEGF receptor 2 (VEGFR-2), a kinase insert domain-containing receptor. Therefore, the disruption of VEGFR-2 signaling provides a promising therapeutic approach for the treatment of cancer by inhibiting abnormal or tumorinduced angiogenesis. To explore this potential, we expressed the catalytic domain of VEGFR-2 (VEGFR-2-CD) as a soluble active kinase in Escherichia coli. The recombinant protein was purified and the VEGFR-2-CD activity was investigated. The obtained VEGFR-2-CD showed autophosphorylation activity and phosphate transfer activity comparable to the commercial enzyme. Furthermore, the IC₅₀ value of known VEGFR-2 inhibitor was determined using the purified VEGFR-2-CD. These results indicated a possibility for functional and economical VEGFR-2-CD expression in E. coli to use for inhibitor screening.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.1
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• pp.26-34
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• 2012

This study is to investigate the effects of Chinemys reevesii (CR) on allergic inflammation mechanism related chronic dermatitis. To investigate the effects of CR, we study inhibitory effect of CR on the levels of pro-inflammatory cytokines released from RAW 264.7 cell stimulated with lipopolysaccaride (LPS), and EoL-1, THP-1, Jutkat cell stimulated with Dermatophagoides pteronyssinus (DP), and LPS induced acute inflammatory BALB/c mouse model. CR reduced the levels of IL-$1{\beta}$ released from RAW 264.7 cell stimulated with LPS at 20 ug/ml, 10 ug/ml concentration. CR significantly reduced the levels of MCP-1 released from EoL-1 cell, IL-6 from THP-1 cell, and IL-4, IL-5, TNF-${\alpha}$ from Jutkat cell stimulated with DP at all the concentration. CR significantly reduced the levels of TNF-${\alpha}$, IL-6, IL-$1{\beta}$, in LPS induced inflammatory BALB/c mouse model, in a dose-dependent manner. These results suggested that CR has suppressive effects on pro-inflammatory cytokines in various inflammation related cell lines through the regulation of immune system. CR could be a therapeutic agent for treatment of chronic inflammatory dermatitis in the future.

• The Journal of Korean Medicine
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• v.25 no.4
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• pp.8-14
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• 2004

Objective : Achyranthes japonica Nakai (AJ) has been classified as a herb that activates blood flow and clears the stagnated blood. In this study, we evaluated its anti-nociceptive and anti-inflammatory activity in animals to clarify the effect of AJ on pain or inflammation. Methods : ICR mice and Sprague-Dawley rats were pretreated with an ethanolic extract of AJ with two dosages of 200 mg/kg (p.o.) and 400 mg/kg (p.o.). Nociceptive responses of acute pain were determined by hotplate and tail-flick tests. The effects of AJ on inflammation were evaluated by flexion/extention test and mechanical hyperalgesia test in models induced by both carrageenan and Complete Freund's Adjuvant (CFA). Results : AJ showed significant analgesic effects in both hotplate and tail-flick tests at the dose of 400 mg/kg. It also produced a significant inhibition of carrageenan-induced paw edema and CFA induced arthritis in rats at the dose of 400 mg/kg. Conclusion : We have demonstrated the analgesic and anti-inflammatory properties of an 80% ethanolic extract of AJ in animals. This suggests the application of AJ in relief of pain or inflammatory disease.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.7
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• pp.476-487
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• 2007

Flash memory offers attractive features, such as non-volatile, shock resistance, fast access, and low power consumption for data storage. However, it has one main drawback of requiring an erase before updating the contents. Furthermore, flash memory can only be erased limited number of times. To overcome limitations, flash memory needs a software layer called flash translation layer (FTL). The basic function of FTL is to translate the logical address from the file system like file allocation table (FAT) to the physical address in flash memory. In this paper, a new FTL algorithm called an efficient and advanced space-management technique (EAST) is proposed. EAST improves the performance by optimizing the number of log blocks, by applying the state transition, and by using reallocation blocks. The results of experiments show that EAST outperforms FAST, which is an enhanced log block scheme, particularly when the usage of flash memory is not full.