• Title/Summary/Keyword: Competitive interactions

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Spatial Point Pattern Analysis of Riparian Tree Distribution After the 2020 Summer Extreme Flood in the Seomjin River (2020년 여름 섬진강 대홍수 이후 하천 수목 분포에 대한 공간 점 패턴 분석)

  • Lee, Keonhak;Cho, Eunsuk;Cho, Jonghun;Lee, Cheolho;Kim, Hwirae;Baek, Donghae;Kim, Won;Cho, Kang-Hyun;Kim, Daehyun
    • Ecology and Resilient Infrastructure
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    • v.9 no.2
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    • pp.83-92
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    • 2022
  • The 2020 summer extreme flood severely disturbed the riparian ecosystem of the Seomjin River. Some trees were killed by the flood impact, whereas others have recovered through epicormic regeneration after the disturbance. At the same time, several tree individuals newly germinated. This research aimed to explain the recovery of the riparian ecosystem by spatial proximity between each tree individual of different characteristics, such as "dead", "recovered", and "newly germinated". A spatial point pattern analysis based on K and g-functions revealed that the newly germinated trees and the existing trees were distributed in the spatially clumping patterns. However, further detailed analysis revealed that the new trees were statistically less attracted to the recovered trees than the dead trees, implying competitive interactions hidden in the facilitative interactions. Habitat amelioration by the existing trees positively affected the growth of the new trees, while "living" existing trees were competing with the new trees for resources. This research is expected to provide new knowledge in this era of rapid climate change, which likely induces stronger and more frequent natural disturbance than before. Environmental factors have been widely used for ecosystem modeling, but species interactions, represented by the relative spatial distribution of plant individuals, are also valuable factors explaining ecosystem dynamics.

Mathematical Models of Competitive Adsorption of Inorganic Anions in Soils

  • Lee, Kyo Suk;Lee, Dong Sung;Lee, Jae Bong;Joo, Rhee Na;Lee, Myong Yun;Chung, Doug Young
    • Korean Journal of Soil Science and Fertilizer
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    • v.48 no.6
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    • pp.666-670
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    • 2015
  • Competition among anion species in solution for same sorption sites and soil surface can be of major significance in determining the effective mobility of any potentially adsorbing species. Major soil anion species include $OH^-$, $F^-$, $Cl^-$, $HCO_3{^-}$, $CO_3{^-}$, $NO_3{^-}$, $SO_4{^{2-}}$, and $PO_4{^{3-}}$. And some micro nutrients such as boron and molybdenum exist as $H_2BO_3{^-}$ and $MoO_4{^{2-}}$, as do some heavy metals such as chrome and arsenic as $CrO_4{^{2-}}$ and $HAsO_4{^{2-}}$. Pesticides such as 2,4,5-T and 2,4-D also exist as anions. Many anion species are retained by more complex mechanisms than the simple electrostatic attractions involved in most cation adsorption reactions. In binary system composed of two anions, the adsorption of one anion is influenced by the other anion due to the competition for the available and limited binding sites in soil constituents. The specifically adsorbed anions may compete more effectively for sorption sites than that of nonspecifically adsorbed anion. In this study, we aim to evaluate the mathematical models to determine the magnitude of concentration variations in adsorption due to competitive interactions between anions introduced to a system in binary mixtures.

Theoretical Characterization of Binding Mode of Organosilicon Inhibitor with p38: Docking, MD Simulation and MM/GBSA Free Energy Approach

  • Gadhe, Changdev G.;Balupuri, Anand;Kothandan, Gugan;Cho, Seung Joo
    • Bulletin of the Korean Chemical Society
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    • v.35 no.8
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    • pp.2494-2504
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    • 2014
  • P38 mitogen activated protein (MAP) kinase is an important anti-inflammatory drug target, which can be activated by responding to various stimuli such as stress and immune response. Based on the conformation of the conserved DFG loop (in or out), binding inhibitors are termed as type-I and II. Type-I inhibitors are ATP competitive, whereas type-II inhibitors bind in DFG-out conformation of allosteric pocket. It remains unclear that how these allosteric inhibitors stabilize the DFG-out conformation and interact. Organosilicon compounds provide unusual opportunity to enhance potency and diversity of drug molecules due to their low toxicity. However, very few examples have been reported to utilize this property. In this regard, we performed docking of an inhibitor (BIRB) and its silicon analog (Si-BIRB) in an allosteric binding pocket of p38. Further, molecular dynamics (MD) simulations were performed to study the dynamic behavior of the simulated complexes. The difference in the biological activity and mechanism of action of the simulated inhibitors could be explained based on the molecular mechanics/generalized Born surface area (MM/GBSA) binding free energy per residue decomposition. MM/GBSA showed that biological activities were related with calculated binding free energy of inhibitors. Analyses of the per-residue decomposed energy indicated that van der Waals and non-polar interactions were predominant in the ligand-protein interactions. Further, crucial residues identified for hydrogen bond, salt bridge and hydrophobic interactions were Tyr35, Lys53, Glu71, Leu74, Leu75, Ile84, Met109, Leu167, Asp168 and Phe169. Our results indicate that stronger hydrophobic interaction of Si-BIRB with the binding site residues could be responsible for its greater binding affinity compared with BIRB.

An Analysis of the Affective Effect of Whole Brain Based Cooperative Learning for the Gifted (영재 교육을 위한 전뇌 이론 기반 협동학습의 정의적 효과 분석)

  • Kim, Soon-Hwa;Song, Ki-Sang
    • Journal of Gifted/Talented Education
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    • v.21 no.2
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    • pp.255-268
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    • 2011
  • The 21st century is called as the "Age of knowledge flood", and thus the importance of the ability which can use knowledge creatively is more emphasized. Also, not only individual problem solving but also solving problems through effective communication skills with group members are needed, and therefore, it is requested to train potential gifted learner working together with others to practice cooperation and eventually grown up as a competitive human resource to adapt successfully in future environment. In this paper, to show the effectiveness of cooperative learning in gifted learners, members for cooperative learning group has been selected using whole brain theory from the 42 gifted middle school students who participated in summer gifted learner vacation program. From the analysis of the learners' learning motivation and frequency of interactions whole brain based cooperative learning is effective for enhancing both learning motivation and interactions. Therefore, the whole brain based cooperative learning is an effective pedagogy for enhancing the motivation as well as facilitating interactions within gifted learners.

Electrophoretic Mobility to Monitor Protein-Surfacant Interactions

  • Hong, Soon-Taek
    • Preventive Nutrition and Food Science
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    • v.3 no.2
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    • pp.143-151
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    • 1998
  • Protein -surfactant interactions have been investigate by measuring ζ-potential of $\beta$-lactoglobulin-coated emulsion droplets and $\beta$-lactoglobulin in solution in the rpesenceof surfactant, with particular emphasis on the effect of protein heat treatment(7$0^{\circ}C$, 30min). When ionic surfactant (SDS or DATEM) is added to the protein solution, the ζ-potential of the mixture is found to increase with increasing surfactant concentration, indicating surfactant binding to the protein molecules. For heat-denatured protein,it has been observed that the ζ-potential tends to be lower than that of the native protein. The effect of surfactant on emulsions is rather complicated .With SDS, small amounts of surfactant addition induce a sharp increase in zeta potential arising from the specific interaction of surfactant with protein. With further surfacant addition, there is a gradual reductio in the ζ-potential, presumably caused by the displacement of adsorped protein (and protein-surfactant complex) from the emulsion droplet surfac by the excess of SDS molecules. At even higher surfactant concentrations, the measured zeta potential appears to increase slightly, possibly due to the formation of a surfactant measured zeta potential appears to increase slightly, possibly due to the formation of surfactant micellar structure at the oil droplet surface. This behaviour contrastswith the results of the corresponding systems containing the anionic emulsifier DATEM, in which the ζ-potential of the system is found to increase continuously with R, particularly at very low surfactant concentration. Overall, such behaviour is consisten with a combination of complexation and competitive displacement between surfactant and protein occurring at the oil-water interface. In addition, it has also been found that above the CMC, there is a time-dependent increase in the negative ζ-potential of emulsion droplets in solutions of SDS, possibly due to the solublization of oil droplets into surfactant micelles in the aqueous bulk phase.

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Individual-based Competition Analysis for Secondary Forest in Northeast China

  • Li, Fengri;Chen, Dongsheng;Lu, Jun
    • Journal of Korean Society of Forest Science
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    • v.97 no.5
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    • pp.501-507
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    • 2008
  • The data of crown width with 4 directions, DBH, tree height, and coordinate for sample trees were collected from 30 permanent sample plots in secondary fore st of the Maoershan Experimental Forestry Farm, Northeast China. In this paper, the competition of individual trees in stand were discussed for secondary forest by using iterative Hegyi competition index and crown overlap index that represented the competitive and cooperative interactions among neighboring trees. Active competitors of subject tree in the competition zone were selected to calculate the iterative competition index. Using the results of crown classification based on the equal crown projection area, a new distance dependent competition index called crown overlap index (COI) was developed for secondary forest. The COI performed well in describing the crown competition rather than crown competition factor (CCF). The individual-based competition index discussed in this paper will provide more precise for developing individual tree growth models for secondary forest and it can also use to adjust the stand structure for spatial optimal management.

Innovation Policies and Locational Competitiveness : Lessons from Singapore

  • Ebner, Alexander
    • Journal of Technology Innovation
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    • v.12 no.2
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    • pp.47-66
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    • 2004
  • The relationship between innovation policies and locational competitiveness has emerged as an important area in the analysis of economic development, reflecting both the centralisation and decentralisation of globalising economic activities. The underlying spatial and institutional components are subject to a pattern of cumulative causation in which strategic interventions of policy actors exercise a decisive role in shaping competitive advantages, while promoting interactions with local and foreign partners both from the private and public sectors. The Singaporean development experience illustrated these strategic interdependencies of innovation policies and locational competitiveness. Based on her role as a manufacturing and service hub, Singapore is viewed as an infrastructural nodal point which is interconnected to global production networks. Paralleling efforts in the domain of technological innovation, Singapore's policies for locational competitiveness aim at an adaptive harmonisation of the needs of international investors with local developmental objectives. This orientation characterises also current efforts in promoting Singapore as a knowledge agglomeration with a distinct science base, expanding R&D operations and an innovation-driven pattern of economic development. In conclusion, the locational rationale of Singapore's innovation policies provides lessons for dealing with the spatial and institutional implications of technological globalisation.

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Dynamic Customer Population Management Model at Aggregate Level

  • Kim, Geon-Ha
    • Management Science and Financial Engineering
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    • v.16 no.3
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    • pp.49-70
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    • 2010
  • Customer population management models can be classified into three categories: the first category includes the models that analyze the customer population at cohort level; the second one deals with the customer population at aggregate level; the third one has interest in the interactions among the customer populations in the competitive market. Our study proposes a model that can analyze the dynamics of customer population in consumer-durables market at aggregate level. The dynamics of customer population includes the retention curves from the purchase or at a specific duration time, the duration time expectancy at a specific duration time, and customer population growth or decline including net replacement rate, intrinsic rate of increase, and the generation time of customer population. For this study, we adopt mathematical ecology models, redefine them, and restructure interdisciplinary models to analyze the dynamics of customer population at aggregate level. We use the data of previous research on dynamic customer population management at cohort level to compare its results with those of ours and to demonstrate the useful analytical effects which the precious research cannot provide for marketers.

Development of a Knowledge Management Promotion System of Utilizing the SECI Model in Production Fields (SECI모델을 이용한 생산현장 지식경영촉진체계 구축)

  • Kim, Young-In;Hong, Sung-Jo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.31 no.2
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    • pp.1-10
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    • 2008
  • In the knowledge-based society which recognizes knowledge as a core value, knowledge management is one of the most interesting issues. The creation of knowledge within an organization occurs as a result of interactions of tacit and explicit knowledge, in process of knowledge conversion. One useful model of this process is the SECI model which stands for a process of socialization, externalization, combination and internalization of knowledge. The enterprise competitive power depends on how an organization accelerates the speed of the cycle of knowledge creation well. In this paper we introduce a knowledge management promotion system based on SECI model and proposal system to promote the cycle of knowledge creation in production fields, and study an enterprise case.

5G Network Communication, Caching, and Computing Algorithms Based on the Two-Tier Game Model

  • Kim, Sungwook
    • ETRI Journal
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    • v.40 no.1
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    • pp.61-71
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    • 2018
  • In this study, we developed hybrid control algorithms in smart base stations (SBSs) along with devised communication, caching, and computing techniques. In the proposed scheme, SBSs are equipped with computing power and data storage to collectively offload the computation from mobile user equipment and to cache the data from clouds. To combine in a refined manner the communication, caching, and computing algorithms, game theory is adopted to characterize competitive and cooperative interactions. The main contribution of our proposed scheme is to illuminate the ultimate synergy behind a fully integrated approach, while providing excellent adaptability and flexibility to satisfy the different performance requirements. Simulation results demonstrate that the proposed approach can outperform existing schemes by approximately 5% to 15% in terms of bandwidth utilization, access delay, and system throughput.