• Title/Summary/Keyword: Growth performance

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Effects of the crude protein concentration on the growth performance and blood parameters in growing Hanwoo steers (Bos taurus coreanae)

  • Seoyoung, Jeon;Hyunjin, Cho;Hamin, Kang;Kyewon, Kang;Mingyung, Lee;Enkyu, Park;Seokman, Hong;Seongwon, Seo
    • Korean Journal of Agricultural Science
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    • v.48 no.4
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    • pp.975-985
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    • 2021
  • The sufficient amount of protein supply is crucial for improving the growth performance of growing beef cattle. In addition, due to the improvement in the genetic potential of the carcass weight of Hanwoo steers, dietary protein requirements may be increased during the rapid growth period. Accordingly, the dietary crude protein (CP) level in growing Hanwoo steers has been increasing in the field. However, little scientific evidence is available in relation to this. Therefore, this study was conducted to test whether a higher dietary CP level than convention would improve the growth performance and body metabolism in growing Hanwoo steers. Fifty growing Hanwoo steers were randomly divided into two groups and fed either a commercial diet (CON) or a higher CP (HCP) concentrate mix, provided with a similar level of dietary energy. Tall fescue hay was provided ad libitum. The dietary CP level did not affect growth performance and blood metabolite. Nitrogen intake, predicted nitrogen excretion, and retained nitrogen were higher in the HCP group than in the CON group (p < 0.01). Although there was no difference in the nitrogen utilization efficiency, the growth efficiency per retained nitrogen decreased in the HCP group (p = 0.02). A higher dietary CP level may increase nitrogen retention in growing Hanwoo steers without improving growth performance, which leads to reduced growth efficiency per retained nitrogen. Furthermore, considering the high price of feed protein and increased nitrogen excretion to the environment, a further increase in the protein level may not be sustainable.

Development of Dietary Supplement for the Growth and Exercise Performance Improvement (성장과 운동수행능력 향상에 도움을 주는 식이조성물의 개발)

  • 윤승원;정은희;양동식;이홍석;윤유식
    • Korean Journal of Community Nutrition
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    • v.8 no.3
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    • pp.349-355
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    • 2003
  • We developed a dietary supplement using natural herbs and nutrients for the growth and exercise performance improvement. It called 50-22 supplement containing distilled extracts of natural herbs to remove bitterness and the addition of Vitamin B1, B6, Ca and xylitol. We investigated on the effect of 10-22 supplementation on the maximal exercise performance, IGF-1 (insulin like growth factor-1) concentration and antioxidant activity in SD rat model. In result, JR-22 supplement group was better than control group about 10% in exercise performance test and increased about 63% of IGF-1 concentration in blood. In addition, the oxidative damage induced by exercise was reduced by JR-22 supplementation. Therefore, we suggested that 50-22 supplementation enhanced effectively exercise performance and IGF-1 concentration and reduced to oxidative stress in muscles. Also, we analysed biochemical factors in blood for the safety of JR-22 supplement. We known that there is no change of blood lactic acid, ammonia, inorganic phosphorous ion and creatine kinase activity. (Korean J Community Nutrition 8(3) : 349∼355, 2003)

Cost and Schedule Analysis of Highway Projects based on Project Types

  • Shrestha, Bandana;Shrestha, Pramen P.
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.50-56
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    • 2022
  • Change Orders generally impact cost and schedule performance of highway projects. However, highway projects that do not have any change orders also face cost growth and schedule delays. This study seeks to determine the cost and schedule performance of Texas DOT projects by collecting project data for 120 highway projects completed between 2016 to 2020. For the study, we selected project data that has zero or negative change orders which were then grouped and analyzed based on their Project Types i.e., maintenance works; structural works; restoration and rehabilitation works; and safety works. The study found that performance of Maintenance and Safety type projects had less cost and schedule growth among the data analyzed. Statistical tests also found that even though the projects have no change orders, Rehabilitation and Restoration type projects experienced significant schedule growth compared to others. However, the data did not show any significant cost and schedule growth for the projects when statistical tests were performed on overall data. The study concluded that highway projects are experiencing schedule growth even though the projects had no change orders. Results from the study can help planners, engineers, and administrators to gain better insight on how different types of highway projects are performing in terms of cost and schedule and eventually derive appropriate solutions to minimize cost and schedule growth in such projects.

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Comparison of long-term forecasting performance of export growth rate using time series analysis models and machine learning analysis (시계열 분석 모형 및 머신 러닝 분석을 이용한 수출 증가율 장기예측 성능 비교)

  • Seong-Hwi Nam
    • Korea Trade Review
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    • v.46 no.6
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    • pp.191-209
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    • 2021
  • In this paper, various time series analysis models and machine learning models are presented for long-term prediction of export growth rate, and the prediction performance is compared and reviewed by RMSE and MAE. Export growth rate is one of the major economic indicators to evaluate the economic status. And It is also used to predict economic forecast. The export growth rate may have a negative (-) value as well as a positive (+) value. Therefore, Instead of using the ReLU function, which is often used for time series prediction of deep learning models, the PReLU function, which can have a negative (-) value as an output value, was used as the activation function of deep learning models. The time series prediction performance of each model for three types of data was compared and reviewed. The forecast data of long-term prediction of export growth rate was deduced by three forecast methods such as a fixed forecast method, a recursive forecast method and a rolling forecast method. As a result of the forecast, the traditional time series analysis model, ARDL, showed excellent performance, but as the time period of learning data increases, the performance of machine learning models including LSTM was relatively improved.

Modeling the Growth of Bulk Single Crystals via High Performance Computing

  • Andrew Yeckel;Kwon, Yong-Il;Jeffrey J. Derby
    • Proceedings of the Korea Association of Crystal Growth Conference
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    • 1997.06a
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    • pp.115-120
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    • 1997
  • We have developed new algorithms for solution of the three-dimensional, time-dependent Navier-Stokes equations that utilize massively parallel supercomputing implemented on the Connection Machine 5. Here, we apply these techniques to analyze he fluid flows that occur during the growth of the tow nonlinear optical crystals-potassium dihydrogen phosphate (KDP), which is producted in a novel rapid growth system under development by the Lawrence Livermore National Laboratory Laser Division, and Potassium titanyl phosphate(KTP), which is grown from a high-temperature aqueous solution.

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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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An Empirical Study on the Correlation of IT Investment and Management Performance in the Financial Industry (금융산업에서 IT투자와 경영성과의 상관관계에 관한 실증적 연구)

  • Park, Sang-Kook;Kim, Jong-Bae
    • Journal of Information Technology Services
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    • v.11 no.3
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    • pp.89-101
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    • 2012
  • The study investigated if IT investment in Korean financial markets for the past 18 years has grown following the s-curve pattern based on Nolan's growth model in order to find the correlation between IT investment and management performance in the financial industry. According to the research finding it can be said that the overall financial markets maintain s-curve pattern, and IT investment is related to management performance, particularly increase in total assets and net profit. However, each sector has defining features of growth patterns. The banking industry has grown similarly to the s-curve, and the insurance industry also shows the s-curve but it looks more like linear pattern. In terms of securities industry, its growth patterns can hardly be considered s-curve due to the irregular changes. his research outcome illustrates the analysis of IT growth patterns in the financial industry and thus, it is expected to be a useful reference when deciding the appropriate time for IT investment in the financial industry.

Growth Performance of Pinus densiflora Introduced from Six Provenances of Japan at Chungju, Korea (충주에 식재한 일본 6개 산지 소나무의 생장)

  • Kwon, Yong-Rak;Ryu, Keun-Ok;Kim, In-Sik;Lee, Kap Yeon
    • Journal of Korean Society of Forest Science
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    • v.95 no.3
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    • pp.250-255
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    • 2006
  • Pinus densiflora is a dominant conifer species in Korea and also distributed in regions of Japan and eastern China. Success in the establishment and productivity of forest tree plantation is largely determined by selection of species and seed source. The provenance tests of Pinus densiflora in Korea are underway. However, the information of the growth performance of Japanese and Chinese provenances are insufficient. Therefore, this study was conducted to evaluate the growth performance of Pinus densiflora Japanese provenances. Data were collected from a provenance trial including established by Korea Forest Research Institude at Chungju in 1970. Six Japanese provenances ($31^{\circ}90^{\prime}{\sim}40^{\circ} 27^{\prime}$ in latitude and $128^{\circ}47^{\prime}{\sim}141^{\circ}80^{\prime}$ in longitude) were included in this trial. Pyeongchang provenance at Kangwon province in Korea was used for reference provenance. At nursery stage, the height and diameter at root collar of six Japanese provenances were smaller than those of Pyeongchang provenance. Among Japanese provenances, Kasahara provenance showed higher growth performance than those of others. The provenance rankings of growth performance were fluctuated until age 11. However, the growth performance of Japanese provenances showed higher than those of reference provenance after age 17. Kirishima-yama provenance showed best growth performance. Simple correlation analysis was conducted to investigate the geographic factors affecting growth performance. The height growth showed negative corelation with latitude of seed origin. Generally, Japanese provenences of Pinus densiflora were well adapted and grown in Chungju. However, it was suggested that further studies on other sites need to generalize the results of this study.

Effects of Dietary Energy Intake Levels on Growth Performance and Body Composition of Finishing Barrows and Gilts

  • Cho, Sung Back;Kim, Dong Woon;Baek, Kyung Hoon;Lee, Byong Seak;Chung, Il Byung;Chung, Wan Tae;Choi, Nag-Jin
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.10
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    • pp.1516-1521
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    • 2008
  • This study was conducted to investigate the effects of different energy intake on physical and chemical composition in body fractions, growth performance and meat characteristics of finishing barrows and gilts. A total of twenty six crossbred (Landrace$\times$Yorkshire) consisting of 16 barrows and 13 gilts were used in this study. The animals were allocated by sex to two treatments to form a $2\times2$ factorial arrangement. The respective factors were sex (barrow and gilt) and dietary energy intake (1.8 and 3.0 times energy for maintenance). Pigs were kept in individual pens and had ad libitum access to feed and water from the start of the experiment at $52.4{\pm}1.9kg$ until they reached $109.9{\pm}4.4kg$ live weight. The growth performance, physical composition and meat characteristics of finishing pigs were not greatly affected by the sex. However, higher fat tissue weight in the carcass was observed in barrows compared with gilts (p<0.05). Higher proportions of water and protein (p<0.05), and lower lipid proportion (p<0.01) in the empty body and carcass were observed in gilts compared with barrows, while protein proportion in lean tissue was not affected by the sex. In fat tissue, only protein proportion was higher in gilts compared with barrows (p<0.05). Although, growth performance, physical and chemical compositions in body fractions were greatly affected, final body or carcass weight was partly affected by the energy intake In addition, loin characteristics such as shear force and loin eye area were partly influenced by energy intake levels. Therefore, the present results showed that growth performance and meat characteristics were not influenced but chemical body composition was greatly influenced by the sex. Growth performance, physical and chemical compositions in body fractions were greatly affected, whereas meat characteristics were partly affected by the energy intake levels.

The Impact of Win-Win Growth Effort of Large Firms on Their Financial Performance (기업의 동반성장 노력이 재무성과에 미치는 영향)

  • Min, Jae H.;Kim, Bumseok
    • Korean Management Science Review
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    • v.30 no.2
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    • pp.79-95
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    • 2013
  • In this study, we empirically examine the impact of win-win growth effort of domestic large firms on their financial performance. Specifically, we classify the financial performance into three aspects such as profitability, stability and efficiency, select corresponding financial ratios to each aspect, and analyze the causal relationship between the firms' win-win growth effort and each of the financial ratios. In addition, we figure out the impact of the firms' win-win growth effort on their stock rate of return. From the analysis, we show that the win-win growth effort has a positive impact on the firms' profitability, stability and stock prices; however, it does not give statistically significant impact on the firms' efficiency with even negative impact on it. These results imply that the firms' win-win growth effort could bring about inefficiency in their business operations, but the effort could increase the firms' profitability and make their financial structure more stable. Furthermore, the effort could enhance the firms' image of leading CSR (corporate social responsibility), which in turn increase their stock values.