• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.111-123
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• 2000

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences. Recycling cells are formed considering design, process and usage attributes. In this paper, a novel approach to the design of cellular recycling system is proposed, which deals with the recycling cell formation and assignment of identical products concurrently. Fuzzy clustering algorithm and Fuzzy-ART neural network are applied to describe the states of disposal product with the membership functions and to make recycling cell formation. This approach leads to recycling and reuse of the materials, components, and subassemblies and can evaluate the value at each cell of disposal products. Application examples are illustrated by disposal refrigerators, compared fuzzy clustering with Fuzzy-ART neural network performance in cell formation.

• Journal of the Korea Safety Management & Science
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• v.6 no.2
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• pp.187-197
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• 2004

The recycling cell formation problem means that disposal products are classified into recycling product families using group technology in their end-of-life phase. Disposal products have the uncertainties of product condition usage influences. Recycling cells are formed considering design, process and usage attributes. In this paper, a new approach for the design of cellular recycling system is proposed, which deals with the recycling cell formation and assignment of identical products concurrently. Fuzzy ART neural networks are applied to describe the condition of disposal product with the membership functions and to make recycling cell formation. The approach leads to cluster materials, components, and subassemblies for reuse or recycling and can evaluate the value at each cell of disposal products. Disposal refrigerators are shown as an example.

• Journal of Mechanical Science and Technology
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• v.18 no.12
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• pp.2137-2147
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• 2004

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end-of-life phase. Disposal products have the uncertainties of product status by usage influences during product use phase, and recycling cells are formed design, process and usage attributes. In order to deal with the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. Fuzzy C-mean algorithm and a heuristic approach based on fuzzy ART neural network is suggested. Especially, the modified Fuzzy ART neural network is shown that it has a good clustering results and gives an extension for systematically generating alternative solutions in the recycling cell formation problem. Disposal refrigerators are shown as examples.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products me classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem far disposal products. In this paper, a heuristic approach fuzzy ART neural network is suggested. The modified fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its ai is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. In this paper, a heuristic approach for fuzzy ART neural network is suggested. The modified Fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its aim is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• The Korean Journal of Physiology and Pharmacology
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• v.24 no.1
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• pp.1-10
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• 2020

Autophagy is a highly conserved intracellular degradation and energy-recycling mechanism that contributes to the maintenance of cellular homeostasis. Extensive researches over the past decades have defined the role of autophagy innate immune cells. In this review, we describe the current state of knowledge regarding the role of autophagy in neutrophil biology and a picture of molecular mechanism underlying autophagy in neutrophils. Neutrophils are professional phagocytes that comprise the first line of defense against pathogen. Autophagy machineries are highly conserved in neutrophils. Autophagy is not only involved in generalized function of neutrophils such as differentiation in bone marrow but also plays crucial role effector functions of neutrophils such as granule formation, degranulation, neutrophil extracellular traps release, cytokine production, bactericidal activity and controlling inflammation. This review outlines the current understanding of autophagy in neutrophils and provides insight towards identification of novel therapeutics targeting autophagy in neutrophils.

• Parasites, Hosts and Diseases
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• v.49 no.2
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• pp.103-108
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• 2011

Autophagy is a catabolic process involved in the degradation of a cell's own components for cell growth, development, homeostasis, and the recycling of cellular products. Autophagosome is an essential component in the protozoan parasite during differentiation and encystation. The present study identified and characterized autophagy-related protein (Atg) 3, a member of Atg8 conjugation system, in Acanthamoeba castellanii (AcAtg3). AcAtg3 encoding a 304 amino acid protein showed high similarity with the catalytic cysteine site of other E2 like enzymes of ubiquitin system. Predicted 3D structure of AcAtg3 revealed a hammer-like shape, which is the characteristic structure of E2-like enzymes. The expression level of AcAtg3 did not increase during encystation. However, the formation of mature cysts was significantly reduced in Atg3-siRNA transfected cells in which the production of Atg8-phosphatidylethanolamine conjugate was inhibited. Fluorescent microscopic analysis revealed that dispersed AcAtg3-EGFP fusion protein gathered around autophagosomal membranes during encystation. These results provide important information for understanding autophagic machinery through the lipidation reaction mediated by Atg3 in Acanthamoeba.

• Journal of Life Science
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• v.27 no.3
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• pp.370-381
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• 2017

Protein dephosphorylation is important for cellular regulation, which is catalyzed by protein phosphatases. Among protein phosphatases, carboxy-terminal domain (CTD) phosphatases are recently emerging and new functional roles of them have been revealed. There are 7 CTD phosphatases in human genome, which are composed of CTD phosphatase 1 (CTDP1), CTD small phosphatase 1 (CTDSP1), CTD small phosphatase 2 (CTDSP2), CTD small phosphatase-like (CTDSPL), CTD small phosphatase-like 2 (CTDSPL2), CTD nuclear envelope phosphatase (CTDNEP1), and ubiquitin-like domain containing CTD phosphatase 1 (UBLCP1). CTDP1 dephosphorylates the second phosphor-serine of CTD of RNA polymerase II (RNAPII), while CTDSP1, STDSP2, and CTDSPL dephosphorylate the fifth phosphor-serine of CTD of RNAPII. In addition, CTDSP1 dephosphorylates new substrates such as mothers against decapentaplegic homologs (SMADs), cell division cycle-associated protein 3 (CDCA3), Twist1, tumor-suppressor protein promyelocytic leukemia (PML), and c-Myc. CTDP1 is related to RNA polymerase II complex recycling, mitosis regulation and cancer cell growth. CTDSP1, CTDSP2 and CTDSPL are related to transcription factor recruitment, tumor suppressor function and stem cell differentiation. CTDNEP1 dephosphorylates LIPIN1 and is related to neural tube formation and nuclear envelope formation. CTDSPL2 is related to hematopoietic stem cell differentiation. UBLCP1 dephosphorylates 26S proteasome and is related to nuclear proteasome regulation. In conclusion, noble roles of CTD phosphatases are emerging through recent researches and this review is intended to summarize emerging roles of CTD phosphatases.

• Resources Recycling
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• v.20 no.5
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• pp.34-39
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• 2011

Metallurgical grade silicon(MG-Si) was melted with Ca at 1500$^{\circ}C$ under Ar atmosphere. The sample was cooled at 10 $^{\circ}C$/min to room temperature and leached in aqua regia. In the present study, the effect of Ca addition and conditions of acid leaching on removal of Fe and P in MG-Si were investigated. CaSi$_2$ phase was formed at the grain boundary of MG-Si melting with Ca. Also FeSi$_2$ phase was precipitated in CaSi$_2$ phase. By the formation of CaSi$_2$ phase, 97% of Fe and 66 % of P were removed from Ca added MG-Si with the particle size of 600~850${\mu}m$ by aqua regia(more than 30%) leaching.

• Journal of Life Science
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• v.27 no.8
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• pp.958-964
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• 2017

Autophagy plays an important role in cellular homeostasis and survival for cell recycling and various stresses within the cell. Recent studies have shown that autophagy activity modulates the expression of oncogene and tumor suppressor genes, leading to the development or suppression of cancer. Induction of autophagy is involved in preventing cancer development in normal cells and plays an important role in prompting a specific cell death mechanism in cancer cells with damaged cell death function. It is also known that autophagy inhibition increases the therapeutic efficacy by sensitizing cancer cells that are resistant to chemotherapy. However, the role of autophagy has not yet been fully understood in cancer treatment. Oral squamous cell carcinoma accounts for more than 90% of oral cancer and is the sixth most common cancer in the world. The incidence of oral cancer has increased by 50% over the last 20 years and the mortality rate is over 40% within 5 years after the onset. In oral cancers, the role of autophagy are described to look for tumor inhibitory in the early stages of tumor formation, like other cancers, indicating the dual functions involved in tumor cell survival include tumor progression stages. This review summarizes the various roles of autophagy in cancer cells and suggests the possibility of autophagy as a promising target for effective oral cancer therapy.