This experiment was conducted to investigate the effect of dietary supplemental Astragalus membranaceus on performance and meat quality of broiler chicks for 5 weeks. Basal diets based on corn and soybean meal contained 21% crude protein for the first three weeks and 19% for the rest of two weeks. Four levels of dietary Astragalus membranaceus(0, 0.25, 0.50, 1.00%) were fed in a one way design. There were four replicates of 50 chicks per treatment. Weight gain, feed intake, feed efficiency, blood component, breast meat lipid and protein were measured at the end of experiment. No increased growth rate was observed in chicks fed the basal diet supplemented with Astragalus membranaceus. Chicks fed the diet containing 0.5 and 1.00% Astragalus membranaceus tended to depress the growth rate. Feed intake of 0.25% Astragalus membranaceus treatment was significantly lower than control group(P<0.05), Dietary supplemental Astragalus membranaceus improved the feed efficiency compared to the control group, but was not significantly different between them. However, Astragalus membranaceus treatment exhibited decreased serum cholesterol and AST compared to those of control group, but was not significantly different between supplemental groups. Serum hematocrit, triglyceride, phosphate and BUN decreased at 0.25% Asparagus membranaceous supplementation. Growth hormone and IGF-1 (ng/ml) of chicks fed more than 0.50% Astragalus membranaceus significantly decreased compared to those of control(P<0.05). The total lipid and protein content of chicks fed 0.25 and 0.50% Astragalus membranaceus tended to increase, but did not show consistency at more than 0.50% supplement. The results of this experiment indicated that optimum dietary Astragalus membranaceus level to improve the performance and meat quality of broiler chicks may be less than 0.25%.
There can be little dissension that the ultimate goal of all physical therapy interventions with the elderly is to restore or maintain the highest level of function possible for the individual. Whenever physical therapists take on this challenge, they assist elders in maintaining their identities as competent adults. Advancing age is associated with profound changes in body composition, including increased fat mass, decreased fat-free mass(particularly muscle), decreased total body water and decreased bone density. Along with these changes in body compositions, and perhaps as a direct result of them, elderly people have lower energy needs, reduced strength and functional capacity and a greatly increased risk for such diseases as noninsulin-dependent diabetes mellitus and osteoporosis. Resistance training is considered a promising intervention for reversing the loss of muscle function and the deterioration of muscle structure that is associated with advanced age. This reversal is thought to result in improvements in functional abilities and health status in the elderly by increasing muscle mass, strength and power and by increasing bone mineral density. In the past couple of decades, many studies have examined the effects of Resistance training on risk factors for age-related diseases or disabilities. We have explored the positive and negative aspects of older adults' participation in resistance training programs. The benefits to older adults are reported to be increased strength, endurance, muscle capacity, and flexibility; more energy; and improved self-image and confidence. The negative aspects include some pain or stiffness and other nonspecific problems. The positive and negative aspects of resistance training are therefore very similar to those in younger populations. Scientific investigations over the past 10 years have demonstrated that resistance training can be safely and successfully implemented in older populations. Even the frail and very sick elderly can benefit and improve their quality of life. Proper design and progression of a resistance training program for older adults is vital to optimal benefits from resistance exercise. The results of data provided by this research on resistance training for health shows that there is enough existing evidence to conclude that resistance training, particularly when incorporated into a comprehensive fitness program, can offer substantial health benefits which can be obtained by persons of all ages. These benefits, including improvements in functional capacity, translate into an improved quality of life.
Congestion on expressways is increasing in spite of continuous road construction. In enlargement of expressway capacity to lessen congestion, a long period is needed and in the case of traffic congestion, it would be impossible to avoid long periods of traffic congestion. So, it is necessary to cope with traffic congestion through continuous traffic condition monitoring, analysis of the causes of congestion and the development of alternatives before traffic conditions worsen. A congestion index that can express traffic operating conditions measurably is needed to monitor those conditions. Thus, in this research, a new congestion index, the Traffic Condition Index (TCI), is developed. TCI is able to evaluate roads that have different grades (or design speeds) and to judge traffic condition as good, fair and poor (congested). In addition, TCI has merits in that it can strengthen the function of existing Freeway Traffic Management Systems (FTMS) and can be applied to congestion management easily: TCI calculates congestion intensity and severity using data obtained from existing FTMS. In order to validate TCI, it was applied to the Kyungbu Expressway and the Seohaean Expressway. As a result, TCI shows a good performance in the aspect of applicability and ability of presentation of traffic conditions compared with travel speed and Travel Time Index (TTI).
Numerical models for seepage analysis are useful tools to analyze problems and design protection techniques that are related to seepage through a levee. Though every model may have its own limitations and shortcomings, there were no generalized verifications or calibrations for the commercial models. It means that users can run the model and get the result without understanding nor taking any enough training. This paper Investigates applicability and suitability of some seepage numerical models by comparing analytical solutions with experiments in the user's viewpoint. The results showed that it is more desirable to use analyses with unsaturated-unsteady condition rather than those with saturated-steady conditions, since seepage phenomenon of real levees are changed according to water level and soil property. This study also compared the calculated unsteady solutions with the calculated steady solutions for the levee at Koa of the Nakdong River The comparison revealed that as the result, the safety factor of $2.0{\sim}3.5$ has the same effects for seepage protection techniques when they are designed on the basis of steady-state analysis.
Park, Jimin;Lee, Jung-Ho;Park, Yong-Sun;Jin, Kyoungsuk;Nam, Ki Tae
Proceedings of the Korean Vacuum Society Conference
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2013.08a
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pp.91-91
/
2013
Imagine a world where we could biomanufacture hybrid nanomaterials having atomic-scale resolution over functionality and architecture. Toward this vision, a fundamental challenge in materials science is how to design and synthesize protein-like material that can be fully self-assembled and exhibit information-specific process. In an ongoing effort to extend the fundamental understanding of protein structure to non-natural systems, we have designed a class of short peptides to fold like proteins and assemble into defined nanostructures. In this talk, I will talk about new strategies to drive the self-assembled structures designing sequence of peptide. I will also discuss about the specific interaction between proteins and inorganics that can be used for the development of new hybrid solar energy devices. Splitting water into hydrogen and oxygen is one of the promising pathways for solar to energy convertsion and storage system. The oxygen evolution reaction (OER) has been regarded as a major bottleneck in the overall water splitting process due to the slow transfer rate of four electrons and the high activation energy barrier for O-O bond formation. In nature, there is a water oxidation complex (WOC) in photosystem II (PSII) comprised of the earthabundant elements Mn and Ca. The WOC in photosystem II, in the form of a cubical CaMn4O5 cluster, efficiently catalyzes water oxidation under neutral conditions with extremely low overpotential (~160 mV) and a high TOF number. The cluster is stabilized by a surrounding redox-active peptide ligand, and undergo successive changes in oxidation state by PCET (proton-coupled electron transfer) reaction with the peptide ligand. It is fundamental challenge to achieve a level of structural complexity and functionality that rivals that seen in the cubane Mn4CaO5 cluster and surrounding peptide in nature. In this presentation, I will present a new strategy to mimic the natural photosystem. The approach is based on the atomically defined assembly based on the short redox-active peptide sequences. Additionally, I will show a newly identified manganese based compound that is very close to manganese clusters in photosystem II.
Kim, Seong-Ho;Kang, Bok-Hee;Noh, Sang-Gyun;Kim, Jong-Guk;Lee, Sang-Han;Lee, Jin-Man
Journal of Life Science
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v.18
no.4
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pp.550-555
/
2008
This study focused on alcohol fermentation properties of red ginseng extracts using Saccharomyces cerevisiae JF-Y3. Central composite design was employed to investigate the influence of red ginseng extract content ($10{\sim}50%$, v/v) and yeast extract ($0.5{\sim}2.5%$, w/v) on the properties of alcohol fermentation added with red ginseng extracts. Yeast cell growth was affected both by red ginseng extract content and yeast extract content, and red ginseng extract content had a greater effect on yeast cell number than yeast extract content. Yeast cell number increased along with decrease of the red ginseng extract content and with increase of yeast extract content. Alcohol content was maximal at 30% red ginseng extracts and 0.50% yeast extract and the predicted maximum value of alcohol content was 12.45%. Brix degree and total sugar content were significant within 1% level (p<0.01), and brix degree was affected both by red ginseng extract and yeast extract content. Total sugar content was significantly affected by red ginseng content.
Increasingly the information technology (IT) outsourcing phenomenon has been a subject of much academic research. Scholars have argued that knowledge complementarities playa crucial role in forming successful IT outsourcing relationships. However, notwithstanding the fast growth of IT outsourcing, prior studies on IT outsourcing have not included knowledge complementarities in their research design as a determining factor for IT outsourcing effectiveness. Further, the understanding of knowledge complementarities itself remains ambiguous. In this study, the concept of knowledge complementarities is explored in the IT outsourcing context at the firm level. Specifically, it addresses the following questions: what is knowledge complementarities? How does it affect IT outsourcing effectiveness? Is the relationship between knowledge complementarities and IT outsourcing effectiveness influenced by organizational trust between the client and the vendor? Grounded in the relevant theories to knowledge management and IT outsourcing, we develop a research model in which both the main effects of knowledge complementarities and organizational trust and the moderating effect of organizational trust on the relationships between knowledge complementarities and IT outsourcing effectiveness are tested. Within this research model, we develop a second order construct of knowledge complementarities, consisting of complementary business knowledge and complementary IT knowledge as the first order constructs. We have used data from a field study of 103 firms in Korea to test the proposed model. Controlling the effects of conflict resolution efforts, our empirical analysis found significant main effects of knowledge complementarities and organizational trust on IT outsourcing effectiveness. The results suggest that knowledge complementarities between the client and vendor positively contribute to IT outsourcing effectiveness. Specifically, the client needs to have enough IT knowledge to assess the quality of IT outsourcing services provided by the vendor. Meanwhile, the vendor should understand the client's business well enough to provide IT services, Contrary to our expectations, the moderating effect of trust on the relationship between knowledge complementarities and IT outsourcing effectiveness was not supported in this study. The results also show that organizational trust between client and vendor significantly influences IT outsourcing effectiveness. As for contributions of this study, we have not only clarified the concept of knowledge complementarities, but also developed an instrument to measure the concept and empirically validated it. Further, we have tested the idea that knowledge complementarities and trust directly influence IT outsourcing effectiveness and trust moderates the relationship between knowledge complementarities and IT outsourcing effectiveness. Out results prescribe the knowledge complementarities of client and vendor as a useful path to IT outsourcing effectiveness. These findings have important theoretical and practical implications, which are discussed in the paper.
Journal of the Korean Society for Nondestructive Testing
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v.36
no.3
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pp.195-201
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2016
Eddy current testing (ECT) is commonly applied for the inspection of automated production lines of metallic products, because it has a high inspection speed and a reasonable price. When ECT is applied for the inspection of a metallic object having an uneven target surface, such as the spline gear of a spline shaft, it is difficult to distinguish between the original signal obtained from the sensor and the signal generated by a defect because of the relatively large surface signals having similar frequency distributions. To facilitate the detection of defect signals from the spline gear, implementation of high-order filters is essential, so that the fault signals can be distinguished from the surrounding noise signals, and simultaneously, the pass-band of the filter can be adjusted according to the status of each production line and the object to be inspected. We will examine the infinite impulse filters (IIR filters) available for implementing an advanced filter for ECT, and attempt to detect the flaw signals through optimization of system design parameters for detecting the signals at the system level.
Optical packet switching(OPS) is a strong candidate for the next-generation internet, since it has a fine switching granularity at the packet level for providing flexible bandwidth, and provides seamless integration between WDM layer and IP layer. Optical packet switching have been studied in two categories: OPS in synchronous and OPS in asynchronous networks. In this article we are focused on contention resolution of OPS in asynchronous networks. The hybrid buffer have been addressed, to reduce packet loss further as one of the alternative buffer structures for contention resolution of asynchronous and variable length packets, which consists of the FDL buffer and the electronic buffer. The OPS design issue for the limited number of TWCs and internal wavelengths is important in the aspect of switch cost and resource efficiency. Therefore, an hybrid buffer structured optical packet switch and its scheduling algorithm is presented for considering the limited number of TWCs and internal wavelengths, for contention resolution of asynchronous and variable length packets. The proposed algorithm could lead to the packet loss improvement compared to the legacy LAUC-VF algorithm with only the FDL buffer.
Intrusion detection is a process that identifies the attacks and responds to the malicious intrusion actions for the protection of the computer and the network resources. Due to the fast development of the Internet, the types of intrusions become more complex recently and need immediate and correct responses because the frequent occurrences of a new intrusion type rise rapidly. Therefore, to solve these problems of the intrusion detection systems, we propose a sequential pattern miner for analysis of the alert data in order to support intelligent and automatic detection of the intrusion. Sequential pattern mining is one of the methods to find the patterns among the extracted items that are frequent in the fixed sequences. We apply the prefixSpan algorithm to find out the alert sequences. This method can be used to predict the actions of the sequential patterns and to create the rules of the intrusions. In this paper, we propose an extended prefixSpan algorithm which is designed to consider the specific characteristics of the alert data. The extended sequential pattern miner will be used as a part of alert data analyzer of intrusion detection systems. By using the created rules from the sequential pattern miner, the HA(high-level alert analyzer) of PEP(policy enforcement point), usually called IDS, performs the prediction of the sequence behaviors and changing patterns that were not visibly checked.
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