• Title/Summary/Keyword: Rapid aging

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Does Population Aging Contribute to Increased Fiscal Spending?

  • LEE, Mihye
    • Asian Journal of Business Environment
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    • v.9 no.4
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    • pp.23-28
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    • 2019
  • Purpose - With rapid population aging in Korea, changes in the population structure will result in a rise in the fiscal burden. This paper investigates the effects of population aging on fiscal spending based on Korea's province data and country panel data from the OECD. Research design, data, and methodology - We use province-level fiscal data from Local Finance Integrated Open System and the Korean Statistical Information Service and also collect country panel data from the OECD. To investigate the relationship between population aging and fiscal expenditures, our analysis uses the fixed effects model. Results - The empirical analysis based on Korean local finance and country panel data show that population aging has a positive impact on social welfare expenditures and it also has a positive impact on spending related to children and the elderly, implying that population aging may lead to an increase in fiscal spending via an increase in social welfare expenditures and spending related to children and the elderly. Conclusion - These empirical results suggest that countries like Korea that expect to experience rapid population aging need to pay more attention to prepare for the expected increase in age-related spending in the near future.

Wearable Sensor based Gait Pattern Analysis for detection of ON/OFF State in Parkinson's Disease

  • Aich, Satyabrata;Park, Jinse;Joo, Moon-il;Sim, Jong Seong;Kim, Hee-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.283-284
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    • 2019
  • In the last decades patient's suffering with Parkinson's disease is increasing at a rapid rate and as per prediction it will grow more rapidly as old age population is increasing at a rapid rate through out the world. As the performance of wearable sensor based approach reached to a new height as well as powerful machine learning technique provides more accurate result these combination has been widely used for assessment of various neurological diseases. ON state is the state where the effect of medicine is present and OFF state the effect of medicine is reduced or not present at all. Classification of ON/OFF state for the Parkinson's disease is important because the patients could injure them self due to freezing of gait and gait related problems in the OFF state. in this paper wearable sensor based approach has been used to collect the data in ON and OFF state and machine learning techniques are used to automate the classification based on the gait pattern. Supervised machine learning techniques able to provide 97.6% accuracy while classifying the ON/OFF state.

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Combinatorial Approach Using Caenorhabditis elegans and Mammalian Systems for Aging Research

  • Lee, Gee-Yoon;Sohn, Jooyeon;Lee, Seung-Jae V.
    • Molecules and Cells
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    • v.44 no.7
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    • pp.425-432
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    • 2021
  • Aging is associated with functional and structural declines in organisms over time. Organisms as diverse as the nematode Caenorhabditis elegans and mammals share signaling pathways that regulate aging and lifespan. In this review, we discuss recent combinatorial approach to aging research employing C. elegans and mammalian systems that have contributed to our understanding of evolutionarily conserved aging-regulating pathways. The topics covered here include insulin/IGF-1, mechanistic target of rapamycin (mTOR), and sirtuin signaling pathways; dietary restriction; autophagy; mitochondria; and the nervous system. A combinatorial approach employing high-throughput, rapid C. elegans systems, and human model mammalian systems is likely to continue providing mechanistic insights into aging biology and will help develop therapeutics against age-associated disorders.

A Study on Cosmetic Acupuncture Through Anatomy and Physiology Interpretation (해부생리학 해석을 통한 미용침의 연구)

  • Kim, Min-Sik
    • Korean Journal of Acupuncture
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    • v.30 no.3
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    • pp.171-177
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    • 2013
  • Objectives : The purpose of this study is to investigate the mechanism of Cosmetic Acupuncture through reinterpretation of anatomy and physiology. Methods : The causes of wrinkle increases and rapid aging of facial skin were studied and the theoretical system of Cosmetic Acupuncture treatment was analyzed through anatomy and physiology reinterpretation. Results and Conclusions : An increase in wrinkles and rapid aging of facial skin is caused by xerosis. Skin condition represents the condition of subcutaneous muscle. The reason why skin becomes easily dry is the heat produced by craniofacial part. Craniofacial part always generates lot of physiological fever because of the muscles. This physiological fever is produced from the muscles that are responsible for maintaining skull suture, controlling the movement of temporomandibular joint, maintaining head and neck posture. Controlling this fever is the crux of Cosmetic Acupuncture mechanism. These muscles correspond to Foot Taeyang meridian-muscle, Foot Soyang meridian-muscle and Foot Yangmyung meridian-muscle. Cosmetic Acupuncture is effective for preventing facial skin from aging and wrinkle increase by mechanical stimulus on facial muscles, and for controlling craniofacial part meridian-muscle system producing the heat.

Partialt Discharge Measurement Techniques for Diagnosis of Surface Aging on Organic Insulation (고체 합성수지절연체와 표면노화 진단기술로서의 부분방전 측정평가기술에 대하여)

  • 박완기
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1994.05a
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    • pp.50-56
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    • 1994
  • Partial discharge on organic insulation surfaces are an important sauce of aging. Furthermore the modern PD measurement technigues are rapid developed as quality control and diagnostic tests to determine the fitness for use of HV equipment employing sol id electrical insulation. This paper deals with theory of conventional PD measurement and new tendency of technical development on PD measurements und evaluations. Finally the Measuring system used for diagnosing the surface aging on the organic insulation at High Voltage Laboratory of Technical University of Darmstadt in Germany is presented.

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Aging Influence on Labor Productivity (고령화가 노동 생산성에 미치는 영향)

  • Lee Keun-Boo;Oh Se-Ho;Yang Hee-Joong
    • Journal of the Korea Safety Management & Science
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    • v.8 no.2
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    • pp.81-90
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    • 2006
  • As aging society makes rapid progress, various social problems arise. The drop of productive labor and the increase of welfare cost can be taken as examples. From this point of view, a use of aged labor is a matter of great Important to national productivity improvement. But, the participation rate of the aged in economical activity amounts to 49.8 percent and their unemployment rate does 2.1 percent. The purpose of this paper is to analyze the deterioration of skill and the lowering of adaption to new working environments due to aging. Since the aging effect is closely related to worker's productivity, it should be properly measured and analyzed. The coordination tester is used to find out activity limitations. Experimental results show that the expert skill of the workers can be improved through the effective of their experience. Therefore we can say that some operation is not influenced by aging.

Population Aging in Korea: Importance of Elderly Workers

  • JAEJOON LEE
    • KDI Journal of Economic Policy
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    • v.45 no.2
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    • pp.51-69
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    • 2023
  • Korea's population is aging at a faster pace than any other major country, and the adverse impact of this trend on the economy is predicted to be significant. This paper focuses on the macroeconomic effects of population aging with particular attention paid to the pace of aging in Korea. According to our analysis, it is difficult to offset the decline in the labor supply driven by rapid population aging, even if the labor force participation rate of the working-age population rises to a significantly high level. We suggest a re-orientation of policy directions to correspond to the behavioral changes of economic agents. Policies must focus on promoting labor force participation among the elderly while pushing towards human capital advancement and higher productivity.

Aging Characteristics of 7xxx Series Al Composites with Al2O3 (Al2O3 첨가에 따른 7xxx계 알루미늄 소결체의 시효특성 변화)

  • Min Kyung-Ho;Park Kwang-Hyun;Seo Young-Ik;Chang Si-Young;Kim Young-Do
    • Journal of Powder Materials
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    • v.13 no.3 s.56
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    • pp.172-177
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    • 2006
  • Aging characteristics and mechanical properties of commercial 7xxx series Al composites were investigated from viewpoint of ceramic contents. After sintering process, sintered densities of blended and composite powder were 95 and 97%, respectively. Each part was solution-treated at $475^{\circ}C$ for 60 min and aged $175^{\circ}C$. And two-step aging was also performed form $120^{\circ}C$ to $175^{\circ}C$. The aging behavior of the sintered composite pow-der was different from that of sintered blended powder. The peak aging time of the composite was rapid as well due to strain. Before aging, mechanical properties of sintered composite powder was significantly higher than that of sintered blended powder. These increments of properties were directly affected by ceramic particles. However, after aging, incremental rate of mechanical properties was slowed in the composite.

Evolutionary Computing Driven Extreme Learning Machine for Objected Oriented Software Aging Prediction

  • Ahamad, Shahanawaj
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.232-240
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    • 2022
  • To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.

The Effect of Aging Treatment on the Microstructure and Mechanical Properties of Super Duplex Stainless Steel with W (W이 첨가된 슈퍼 2상 스테인리스강의 미세조직과 기계적성질에 미치는 시효처리의 영향)

  • Kim, Soo-Chun;Bae, Dong-Soo;Kang, Chang-Yong
    • Journal of Ocean Engineering and Technology
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    • v.23 no.4
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    • pp.52-57
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    • 2009
  • The effect of aging treatment on the microstructure and mechanical properties of super duplex stainless steel with W was investigated. The phase was precipitated mainly at the early stage of aging and a lower aging temperature under $750^{\circ}C$, but the phase was formed after long-term aging treatment between $600^{\circ}C$ and $900^{\circ}C$. The volume fraction of the phase increased with aging temperature up to $750^{\circ}C$ and then decreased up to $900^{\circ}C$. With an increase in the aging time, the volume fraction phase at the early stage of aging increased slightly, and then increased rapidly beyond a certain time. The rapid increase in the tensile strength and hardness and decrease in the elongation and impact toughness were measured with aging temperatures up to $750^{\circ}C$. On the other hand, the tensile strength and hardness decreased slightly, and the elongation and Charpy impact toughness were unchanged with aging temperatures over $750^{\circ}C$. The tensile strength and hardness increased rapidly at the early stage of aging, and then increased slowly beyond a certain time. The elongation and Charpy impact toughness decreased rapidly at the early stage of aging, and then remained unchanged beyond a certain time. The phase that formed at the early stage of aging and the lower aging temperature had a considerable effect on the elongation and Charpy impact toughness of the super duplex stainless steel with W.