• Title/Summary/Keyword: Consumption growth

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Influence of Amino Acid and Vitamin Addition on the Growth and Metabolism of a Hybridoma in Batch Culture (하이브리도마의 회분식배양에서 아미노산과 비타민의 첨가에 따른 세포성장과 대사의 변화)

  • 이동섭;박홍우
    • KSBB Journal
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    • v.13 no.3
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    • pp.289-294
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    • 1998
  • The effects of various step-fortifications of the initial medium with amino acids, glucose, and vitamines on the growth and metabolism of a hybridoma cell line in batch cultures were quantified. Comparisons between the metabolic rates of the various cultivations were made for the exponential growth phase. Fortification of the basal medium resulted in higher cell densities through a prolonged growth phase, but the maximum specific growth rate was not affected. The uptake rate of glutamine increased with the addition of amino acids but did not change upon the addition of glucose or vitamines. The specific glucose consumption decreased slightly with the addition of amino acids but increased production of lactate and {{{{ { NH}`_{4 } ^{ +} }}}}. A reciprocal relationship between the yields of {{{{ { NH}`_{4 } ^{+ } }}}} and lactate indicated a joint regulation of glycolysis and glutaminolysis.

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Development of an Algorithm for Searching Optimal Temperature Setpoint for Lettuce in Greenhouse Using Crop Growth Model (작물생장모델을 이용한 상추의 온실 최적설정온도 탐색 알고리즘의 개발)

  • 류관희;김기영;김희구;채희연
    • Journal of Biosystems Engineering
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    • v.24 no.5
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    • pp.445-452
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    • 1999
  • This study was conducted to develop a searching algorithm for optimal daily temperature setpoint greenhouse. An algorithm using crop growth and energy models was developed to determine optimum crop growth environment. The results of this study were as follows: 1. Mathematical models for crop growth and energy consumption were derived to define optimal daily temperature setpoint. 2. Optimum temperature setpoint, which could maximize performance criterion, was determined by using Pontryagin maximum principle. 3. Dynamic control of daily temperature using the developed algorithm showed higher performance criterion than static control with fixed temperature setpoint. Performance criteria for dynamic control models were with simulated periodic weather data and with real weather data, increased by 48% and 60%, respectively.

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Effects of dietary protein and energy levels on growth and body composition of juvenile turbot (Scophthalmus maximus L.) reared under optimal salinity condition

  • Cho, Sung-Hwoan;Lee, Jong-Kwan;Lee, Jong-Ha;Lim, Young-Soo;Lim, Han-Kyu;Lee, Jung-Ho;Lee, Sang-Min
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2003.05a
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    • pp.239-241
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    • 2003
  • Several nutrients in feed are needed for growth and maintenance of fish and protein among them is probably the most important factor influencing its growth and determining feed cost due to high Proportion. Besides, dietary energy level is critical because protein source in the feed was utilized as energy source when the feed deficient in energy was fed to fish, whereas when the feed excess in energy was fed to fish, feed consumption decreased and resulted in growth reduction due to lack of necessary other nutrients for the normal growth (Lovell 1989). (omitted)

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Energy Efficiency and CO2 Emissions of the Transportation System of Kazakhstan: A Case of Almaty

  • Yessekina, Aiman;Urpekova, Amina
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.3
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    • pp.41-46
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    • 2015
  • Energy saving in the transport sector in the framework of the annual growth of energy consumption, the degree of negative impact on the environment and the amount of harmful emissions are becoming increasingly important. The article considers the world tendencies of energy consumption in transportation sector and emphasizes its dependency from oil. Also article describes the dynamics of energy use and CO2 emissions from transport of city Almaty. In conclusion authors identify a number of problems in the transport sector, which hinder the implementation of energy efficiency measures and measures to reduce CO2 emissions.

An Assessment of the Energy Consumption & CO2 Emission during the Construction Stage of Government Building using the Input-Output Analysis (산업연관분석법을 통한 공공청사 신축공사단계의 에너지 소비량 및 CO2 발생량 평가)

  • Choi, Young-Hun;Lee, Sang-Beom;Song, Ho-San
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2011.11a
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    • pp.149-150
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    • 2011
  • Recently, Goverment's Energy-saving policy in Korea as 'Green Growth' is very remarkable effort. By intensive poliicies, the private is encouraged to participate in policy. Especially, it is very important in the field of architecture and we have to work for construction of law system. However, these efforts of the government buildings for energy efficiency in use stage is as mandatory system that may occur in the construction phase and the enviromental impact of greenhouse gas reductions is not affected. For this reason, Assess the amount of the energy consumption and CO2 emissioont of Government Buildings in 2010 ordered by PPS(Public Procurement Service) in the construction phase and suggest to recognize the need for legal restrictions.

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Heat Release Rate Measurements of Residential Combustibles Using Oxygen Consumption Method (산소소모법을 이용한 주택 가연물 발열량 측정)

  • Choi, Byung-Il;Han, Yong-Shik;Kim, Myung-Bae
    • Fire Science and Engineering
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    • v.22 no.2
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    • pp.104-107
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    • 2008
  • Heat release rates of main combustibles in residence area were measured by a calorimeter using oxygen consumption method. It was found that the peak heat release rates of the combustibles were 1.0MW for a refrigerator, 0.8MW for a desk, 4.2MW for a wardrobe and 0.4MW for a bed. Especially, the refrigerator and wardrobe were found to be very hazardous because of their fast fire growth rate.

Heuristic based Energy-aware Resource Allocation by Dynamic Consolidation of Virtual Machines in Cloud Data Center

  • Sabbir Hasan, Md.;Huh, Eui-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.8
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    • pp.1825-1842
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    • 2013
  • Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), this leads to stipulations in dealing with energy-performance trade-offs, as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a heuristic based resource allocation of VM selection and a VM allocation approach that aims to minimize the total energy consumption and operating costs while meeting the client-level SLA. Our experiment results demonstrate significant enhancements in cloud providers' profit and energy savings while improving the SLA at a certain level.

Outlook of the Global Dairy Industry and Its Current Situation: IV. 2015 Global Consumption and Trade of Dairy Products (세계 낙농산업 동향: IV. 유제품 소비 및 교역을 중심으로)

  • Kim, Seongjun;Oh, Sejong
    • Journal of Dairy Science and Biotechnology
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    • v.34 no.1
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    • pp.59-62
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    • 2016
  • Recently, underdeveloped countries have exhibited slight increases in their share of global dairy production. However, this growth is mostly the result of an increase in the number of producing animals, rather than a rise in productivity per milking cow. Fortunately, with the increase in milk production, the world dairy trade reported that the abundance of milk has resulted in increased production of other dairy products, such as dairy powder and butter. In general, there has been an increasing trend in the demand and supply of milk and all dairy products in the international dairy market since 2005. As the economy recovers, both the demand and consumption of milk will increase. However, no change is expected in the long-term prospects for the dairy market, particularly for 2016.

Energy efficiency retrofit package plan for existing buildings (기존 건축물의 에너지 효율화 리트로핏 패키지 방안)

  • Kim, Su Min;Cho, Hyun Mi
    • Land and Housing Review
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    • v.11 no.1
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    • pp.95-101
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    • 2020
  • In the past few decades, the global population growth and rapid economic development have resulted in significant increases in building energy consumption. To reduce greenhouse-gas emissions and building energy consumption, building materials and energy technologies must be optimized. Building retrofitting is a more efficient method than reconstruction to improve the building energy performance. In order to improve the energy performance of existing buildings, this study proposed energy-efficiency retrofit plans and derived cost-effective retrofit plan. The energy efficient retrofit method is achieved through the packaging of energy technology and the energy and cost reduction effect of the energy efficiency retrofit package are analyzed. As a result of the study, the energy-efficiency retrofit package showed an energy reduction effect of up to 60% or more and a construction cost reduction of about 30%. This study argues that optimal energy and construction cost reduction of existing buildings are possible through the packaging of energy efficiency technology.

The Effect of Artificial Intelligence on Economic Growth: Evidence from Cross-Province Panel Data

  • HE, Yugang
    • Korean Journal of Artificial Intelligence
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    • v.7 no.2
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    • pp.9-12
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    • 2019
  • With the Chinese government's attention to the artificial intelligence industry, the Chinese government has invested a lot in it recently. Of course, the importance of artificial intelligence industry for China's economic development is increasingly significant. The advent of artificial intelligence boom has also triggered a large number of scientists to analyze the impact of artificial intelligence on economic growth. Therefore, this paper use 31 China's cross-province panel data to study the effect of artificial intelligence on economic growth. Via empirical analyses under a series of econometric methods such as the province and year fixed effect model, the empirical result shows that artificial intelligence has a positive and significant effect on economic growth. Namely, the artificial intelligence is a new engine for economic growth. Meanwhile, the empirical results also indicate that the investment and consumption has a significant and positive effect on economic growth. Oppositely, the inflation and government purchase have a significant negative effect on economic growth. These findings in this paper also provide some important evidences for policy-makers to perform precise behaviors so as to promote the economic growth. Moreover, these finding enriches existing literature on artificial intelligence and economic growth.