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Search Results: 1 - 10 of 2585 matches for " Sangkyun Jeong "
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Genetic Approach to Elucidation of Sasang Constitutional Medicine
Bu-Yeo Kim,Seongwon Cha,Hee-Jeong Jin,Sangkyun Jeong
Evidence-Based Complementary and Alternative Medicine , 2009, DOI: 10.1093/ecam/nep058
Abstract: Sasang Constitutional Medicine (SCM) offers a medical principle that classifies humans into four constitution groups and guides their treatment with constitution-matched medical assistance. The principle of this traditional medicine, although requires significant scientific support, appears to suggest a genetic influence on constitution type. The relative frequency of constitution types in a population, for instance, has remained relatively constant since Jema Lee first described them from his observations. In addition, the body compartment concept of SCM appears to be related to the anterio–posterior patterning of the embryonic gut and associated internal organs. This study describes the attributes of the constitution concept of SCM that can be interpreted in the language of genetics and current approaches to identity the genetic factors that make up the constitution. These efforts should make it possible to interpret the principle of this traditional medicine scientifically. Considering the recent trend in medicine that pursues individualized or tailored medical offerings, once SCM is proven to be explainable with scientific evidence, it will be able to contribute to and take a place in the rapidly evolving medicine environment.
Optimal Discount Rates for Government Projects
Sangkyun Park
ISRN Economics , 2012, DOI: 10.5402/2012/982093
Abstract:
Optimal Discount Rates for Government Projects
Sangkyun Park
ISRN Economics , 2012, DOI: 10.5402/2012/982093
Abstract: Project selection based on the net present value can be optimal only if the discount rate is optimal. The optimal discount rate for a government project can be a risk-free rate, a comparable market rate (market interest rate corresponding to the risk of cash flows to the government), or an adjusted market rate, depending on circumstances. This paper clarifies the conditions for each case. Provided that the optimal discount rate is the comparable market rate, it varies across intervention methods and changes with the subsidy rate. 1. Introduction The government should allocate its budget to maximize social welfare. When the net present value (NPV) is used as the basis of project choice, the discount rate critically influences budget allocation. Yet there is no consensus on the optimal discount rate that would maximize social welfare. An old debate is whether the discount rate for a government project should reflect the risk premium (compensation for uncertainty) that is normally demanded in the market, in addition to the time preference of individuals. Another line of research focuses on determining the social discount rate that reflects the society time preference best. Both issues have attracted considerable attention in recent years. In the USA, the Federal Credit Reform Act of 1990 has explicitly incorporated discounting into the federal budget, although it is limited to credit programs. Under the act, expected cash flows from government credit programs are discounted by Treasury rates of comparable maturities. Assuming that the Treasury rate approximates the risk-free rate, the government discount rate does not contain the risk premium in this case. The Emergency Economic Stabilization Act of 2008, however, mandates that cash flows from the Troubled Asset Relief Program be discounted by market risk-adjusted discount rates (Treasury rates plus risk premiums that would be demanded by private investors), rekindling the old debate in the policy arena. Increased concerns about climate changes and needs for environmental regulation have heightened the importance of the social discount rate. For environmental policies, which typically have large effects in a very distant future, cost-benefit analyses are extremely sensitive to the discount rate. Important issues arising from the long time horizon include uncertainty about the discount rate itself, intergenerational inequality in consumption, and rationales for applying a lower discount rate to a farther future. The focus of this paper is on the market risk premium. Research in the social discount rate has
Genetic Effects of FTO and MC4R Polymorphisms on Body Mass in Constitutional Types
Seongwon Cha,Imhoi Koo,Byung L. Park,Sangkyun Jeong,Sun M. Choi,Kil S. Kim,Hyoung D. Shin,Jong Y. Kim
Evidence-Based Complementary and Alternative Medicine , 2011, DOI: 10.1093/ecam/nep162
Abstract: Sasang constitutional medicine (SCM), a Korean tailored medicine, categorizes human beings into four types through states of physiological imbalances and responsiveness to herbal medicine. One SCM type susceptible to obesity seems sensitive to energy intake due to an imbalance toward preserving energy. Common variants of fat mass and obesity associated (FTO) and melanocortin 4 receptor (MC4R) genes have been associated with increased body mass index (BMI) by affecting energy intake. Here, we statistically examined the association of FTO and MC4R polymorphisms with BMI in two populations with 1370 Koreans before and after SCM typing, and with the lowering of BMI in 538 individuals who underwent a 1-month lifestyle intervention. The increased BMI replicated the association with FTO haplotypes (effect size ? 1.1 kg/m2) and MC4R variants (effect size ? 0.64 kg/m2). After the lifestyle intervention, the carriers of the haplotype represented by the minor allele of rs1075440 had a tendency to lose more waist-to-hip ratio (0.76%) than non-carriers. The constitutional discrepancy for the accumulation of body mass by the effects of FTO and/or MC4R variants seemed to reflect the physique differences shown in each group of SCM constitutional types. In conclusion, FTO and MC4R polymorphisms appear to play an important role in weight gain, while only FTO variants play a role in weight loss after lifestyle intervention. Different trends were observed among individuals of SCM types, especially for weight gain. Therefore, classification of individuals based on physiological imbalance would offer a good genetic stratification system in assessing the effects of obesity genes.
Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
Sangkyun Lee,Stephen J. Wright
Computer Science , 2011,
Abstract: Subgradient algorithms for training support vector machines have been quite successful for solving large-scale and online learning problems. However, they have been restricted to linear kernels and strongly convex formulations. This paper describes efficient subgradient approaches without such limitations. Our approaches make use of randomized low-dimensional approximations to nonlinear kernels, and minimization of a reduced primal formulation using an algorithm based on robust stochastic approximation, which do not require strong convexity. Experiments illustrate that our approaches produce solutions of comparable prediction accuracy with the solutions acquired from existing SVM solvers, but often in much shorter time. We also suggest efficient prediction schemes that depend only on the dimension of kernel approximation, not on the number of support vectors.
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered $\ell_1$-Norm
Sangkyun Lee,Damian Brzyski,Malgorzata Bogdan
Mathematics , 2015,
Abstract: In this paper we propose a primal-dual proximal extragradient algorithm to solve the generalized Dantzig selector (GDS) estimation, based on a new convex-concave saddle-point (SP) formulation of the GDS and a simple gradient extrapolation technique. Our reformulation makes it possible to adapt recent developments in saddle-point optimization, to achieve the optimal $O(1/k)$ rate of convergence. Compared to the optimal non-SP algorithms, ours do not require specification of sensitive parameters that affect algorithm performance or solution quality. We also provide a new analysis showing a possibility of acceleration in special cases even without strong convexity or strong smoothness. As an application, we propose a GDS equipped with the ordered $\ell_1$-norm, showing its false discovery rate control properties in variable selection. Algorithm performance is compared between ours and other alternatives, including the linearized ADMM, Nesterov's smoothing, Nemirovski's mirror-prox, and the accelerated hybrid proximal extragradient techniques.
Evaluation of Network Stack Optimization Techniques for Wireless Sensor Networks  [PDF]
Jaein JEONG
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.28083
Abstract: We present a network stack implementation for a wireless sensor platform based on a byte-level radio. The network stack provides error-correction code, multi-channel capability and reliable communication for a high packet reception rate as well as a basic packet-level communication interface. In outdoor tests, the packet reception rate is close to 100% within 800 ft and is reasonably good up to 1100 ft. This is made possible by using error correction code and a reliable transport layer. Our implementation also allows us to choose a fre-quency among multiple channels. By using multiple frequencies as well as a reliable transport layer, we can achieve a high packet reception rate by paying additional retransmission time when collisions increase with additional sensor nodes.
Characterization of Multicultural Values: Affective Impact of Writing Extensive Journals in a University-Level Course  [PDF]
Taekhil Jeong
Creative Education (CE) , 2013, DOI: 10.4236/ce.2013.47A2022
Abstract:

The highest educational objective of affective domain is characterization, which refers to the level of character development where individuals’ behaviors and values remain consistent. Because the educational objectives of affect are categorically different from cognitive educational objectives, an alternative pedagogical conceptualization that integrates teaching, learning, and evaluating aspects of character development is essential in multicultural education. The current action research presents: 1) a rubric of multicultural education journal writing that evaluates the quality of students’ journals; 2) coherent journal topics and accessible resources for journal entries; and 3) exemplary student journals that sufficiently meet the criteria of rubric, topic, and resource requirements. The presented rubric, topics, resources, and actual student journal examples may serve as a model that both multicultural education teachers and students alike can utilize in their teaching and learning practices.

A Study on the Impact of South Korea’s Official Developmental Assistance Policy toward Vietnam  [PDF]
Seungho Jeong
Modern Economy (ME) , 2018, DOI: 10.4236/me.2018.98091
Abstract: The purpose of this research paper is to study and analyze the Official Development Assistance (ODA) policy of South Korea toward Vietnam. The research methodology used was qualitative and relied on processed information from secondary sources. It is noted that South Korea has been a major foreign aid partner of Vietnam since it became a donor member of the Development Assistance Committee (DAC). Currently, South Korea preferentially gives Vietnam the largest share of its donor funds in the form of concessional loans and grants. Also found in this investigation is that the main determinant of this sizable ODA is in the form of commercial opportunities available in the recipient country and the rich diplomatic relations shared by the two countries. South Korea has realized commercial benefits such as an expanded market for exports, employment opportunities for its citizens, and foreign direct investment (FDI) chances in Vietnam as a result of this ODA volume. On the other hand, Vietnam has used money received to immensely transform its economy. In conclusion, the ODA policy of South Korea toward Vietnam has been found to be largely beneficial for both countries.
Incremental Network Programming for Wireless Sensors  [PDF]
Jaein JEONG, David CULLER
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.25048
Abstract: We present an incremental network programming mechanism which reprograms wireless sensors quickly by transmitting the incremental changes using the Rsync algorithm; we generate the difference of the two program images allowing us to distribute only the key changes. Unlike previous approaches, our design does not assume any prior knowledge of the program code structure and can be applied to any hardware platform. To meet the resource constraints of wireless sensors, we tuned the Rsync algorithm which was originally made for updating binary files among powerful host machines. The sensor node processes the delivery and the decoding of the difference script separately making it easy to extend for multi-hop network programming. We are able to get a speed-up of 9.1 for changing a constant and 2.1 to 2.5 for changing a few lines in the source code.
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