• Journal of Microbiology and Biotechnology
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• v.13 no.5
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• pp.647-650
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• 2003

In anhydrous organic solvents, the complexes formed between AOT (dodecylbenzene sulfuric acid sodium salt) and hemoproteins, such as hemoglobin, myoglobin, or cytochrome c, displayed remarkably higher activity than the hemoprotein powders to oxidize dibenzothiophene, a model compound of organic sulfurs contained in fossil fuels. In slightly hydrophobic organic solvents, such as ethyl acetate and butyl acetate, dibenzothiophene was completely oxidized catalytically by the cytochrome c-AOT complex with cumene hydroperoxide (${\alpha},{\alpha}-dimethylbenzyl$ hydroperoxide) as an oxidant. In highly hydrophobic organic solvents, such as decane and hexadecane, however, the activity of the cytochrome c-AOT complex decreased, presumably due to the aggregation of the hemoprotein-AOT complex in these solvents.

• Bulletin of the Korean Chemical Society
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• v.18 no.12
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• pp.1260-1264
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• 1997

The phase-transfer reagent (PTC), ethyl tri-n-octylammonium bromide (ETABr), strongly catalyzes the reaction of p-nitrophenyldiphenylphosphinate (p-NPDPIN) with benzimidazole (BI) and its anion (BI-). In ETABr solutions, the dephosphorylation reactions exhibit higer than first order kinetics with respect to the nucleophile, BI, and ETABr, suggesting that reactions are occuring in small aggregates of the three species including the substrate, whereas the reaction of p-NPDPIN with OH- is not catalyzed by ETABr. This behavior for the drastic rate-enhancement of the dephosphorylation is refered as 'aggregation complex model' for reactions of hydrophobic organic phosphinates with benzimidazole in hydrophobic quarternary ammonium salt solutions.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.5
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• pp.253-263
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• 2021

Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.

• Genomics & Informatics
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• v.20 no.4
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• pp.40.1-40.8
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• 2022

The concepts of phylogeny and floral genetics play a crucial role in understanding the origin and diversification of flowers in angiosperms. Angiosperms evolved a great diversity of ways to display their flowers for reproductive success with variations in floral color, size, shape, scent, arrangements, and flowering time. The various innovations in floral forms and the aggregation of flowers into different kinds of inflorescences have driven new ecological adaptations, speciation, and angiosperm diversification. Evolutionary developmental biology seeks to uncover the developmental and genetic basis underlying morphological diversification. Advances in the developmental genetics of floral display have provided a foundation for insights into the genetic basis of floral and inflorescence evolution. A number of regulatory genes controlling floral and inflorescence development have been identified in model plants such as Arabidopsis thaliana and Antirrhinum majus using forward genetics, and conserved functions of many of these genes across diverse non-model species have been revealed by reverse genetics. Transcription factors are vital elements in systems that play crucial roles in linked gene expression in the evolution and development of flowers. Therefore, we review the sex-linked genes, mostly transcription factors, associated with the complex and dynamic event of floral development and briefly discuss the sex-linked genes that have been characterized through next-generation sequencing.

• Journal of Microbiology and Biotechnology
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• v.10 no.4
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• pp.449-454
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• 2000

The heavy chain monoclonal antibody (HC MAb) was produced in suspension cultures of genetically modified Nicotiana tabacum. The HC MAb secreted to the medium was unstable due to unfavorable interactions in the plant cell medium. The addition of gelatin (5g/l) stabilized the extracellular HC MAb and increased its production 10-fold. A kinetic model was developed describing the interaction between the secretedprotein and the stabilizer. The model accounted for the inactivation of the protein by simple aggregation and general instability. It was assumed that the secreted protein and the stabilizer form a stable complex. Culturing the cells semicontinuously could further increase the productivity of HC MAb.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.6
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• pp.279-286
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• 2001

A load modeling, micro method, is performed by component load modeling, load composition rate estimation and aggregation of component load model, etc. The load model obtained from this process must be applied to actual load bus to verify it and to get reliable load model. But it is difficult to apply every load bus due to al lot of load buses and complex experiment. This paper proposed the field test method in load bus to verify the load modeling. For appropriate field test, representative load buses are selected by the proposed algorithm considering the composition rate of user category in all load buses. The field tests were performed at selected load buses to obtain load characteristics of bus by time and seasonal without blackout. The results of measurement and analysis are presented in detail.

• The Transactions of the Korea Information Processing Society
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• v.2 no.4
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• pp.443-452
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• 1995

Object-oriented database systems have been proposed as an effective solution for providing the data management facilities of complex applications. Proving this claim and the investigation of related issues such as query processing have been hampered by the absence of a formal object-oriented query model. In this paper, we not only define a query model based on aggregation inheritance but also develop semantic rewriting rules which are applied to equivalence preserving rewrite rules in algebraic expression of a query. Analyzing semantically the query model, the query model can be optimized to logically object-oriented query processing. And algebra expresstions of a query can be optimized by applying equivalence preserving rewrite rules.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.5
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• pp.1223-1237
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• 2024

Autonomous vehicles use onboard sensors to sense the surrounding environment. In complex autonomous driving scenarios, the detection and recognition capabilities are constrained, which may result in serious accidents. An efficient way to enhance the detection and recognition capabilities is establishing collaborations with the neighbor vehicles. However, the collaborations introduce additional challenges in terms of the data heterogeneity, communication cost, and data privacy. In this paper, a novel personalized federated learning framework is proposed for addressing the challenges and enabling efficient collaborations in autonomous driving environment. For obtaining a global model, vehicles perform local training and transmit logits to a central unit instead of the entire model, and thus the communication cost is minimized, and the data privacy is protected. Then, the inference similarity is derived for capturing the characteristics of data heterogeneity. The vehicles are divided into clusters based on the inference similarity and a weighted aggregation is performed within a cluster. Finally, the vehicles download the corresponding aggregated global model and train a personalized model which is personalized for the cluster that has similar data distribution, so that accuracy is not affected by heterogeneous data. Experimental results demonstrate significant advantages of our proposed method in improving the efficiency of collaborative perception and reducing communication cost.

• Journal of Ginseng Research
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• v.45 no.2
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• pp.236-245
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• 2021

Background: Red ginseng (RG) extract, especially ginsenoside Rg1 and Rb1 fractions has been reported to have antithrombotic activities. However, gastric instability and low intestinal permeability are considered to be obstacles to its oral administration. We hypothesized that stability, permeability, and activities of RG might be improved by encapsulation within nanoparticles (NPs) prepared with antithrombotic coating materials. Methods: RG-loaded chitosan (CS) NPs (PF-NPs) were prepared by complex ionic gelation with the antithrombotic wall materials, polyglutamic acid (PGA), and fucoidan (Fu). The concentrations of PGA (mg/mL, X₁) and Fu (mg/mL, X₂) were optimized for the smallest particle size by response surface methodology. Antithrombotic activities of RG and PF-NPs were analyzed using ex vivo and in vivo antiplatelet activities, in vivo carrageenan-induced mouse tail, and arteriovenous shunt rat thrombosis models. Results: In accordance with a quadratic regression model, the smallest PF-NPs (286 ± 36.6 nm) were fabricated at 0.628 mg/mL PGA and 0.081 mg/mL Fu. The inhibitory activities of RG on ex vivo and in vivo platelet aggregation and thrombosis in in vivo arteriovenous shunt significantly (p < 0.05) increased to approximately 66.82%, 35.42%, and 38.95%, respectively, by encapsulation within PF-NPs. For an in vivo carrageenan-induced mouse tail thrombosis model, though RG had a weaker inhibitory effect, PF-NPs reduced thrombus significantly due to the presence of PGA and Fu. Conclusion: PF-NPs contributed to improve the activities of RG not only by nanoencapsulation but also by antithrombotic coating materials. Therefore, PG-NPs can be suggested as an efficient delivery system for oral administration of RG.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.91-94
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• 2005

공학적 기반의 응용 프로그램에서는 복합관계(complex relationship) 및 복합객체(complex object)의 개념이 요구되는데, 이러한 개념들은 비즈니스 응용에 적합한 관계형 데이터베이스로 다루기에는 저장과 검색 시 많은 문제점을 야기한다. 이와 같은 문제점을 해결하기 위해서 객체 관계형 데이터베이스 시스템이 출현하게 되었다. 한편, 고전적인 데이터베이스 설계 기법은 개체 관계형 모델(Entity Relationship Model)과 같은 개념적 모델을 사용하며 데이터 중심의 구조적 관점(structural aspect)만을 고려하는 반면, UML(Unified Modeling Language)같은 객체지향형 설계 도구를 사용하여 데이터베이스를 설계할 경우 구조적 관점 및 행위적 관점(behavioral aspect)을 모두 포함한다. UML은 확장 가능한 언어로서, 특정 응용프로그램에 대한 새로운 스테레오타입(stereotype)의 사용이 가능하다. 데이터베이스 설계를 위한 확장된 UML의 스테레오타입이 제안되었지만, 대부분 관계형 데이터베이스에 초점이 맞추어져 있다. 본 논문에서는 객체 관계형 데이터베이스 설계를 위한 확장된 UML 스테레오타입을 기술하며, 복합관계 및 복합객체를 지원하기 위해 Aggregation, Composition, Association의 개념을 재정의한 설계기법을 제안하고, 제안한 설계기법을 지원하는 설계 도구(ORDesigner)의 구현에 대해서 기술한다.