• Title/Summary/Keyword: Elderly population

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Synergetic effect of soluble whey protein hydrolysate and Panax ginseng berry extract on muscle atrophy in hindlimb-immobilized C57BL/6 mice

  • Han, Min Ji;Shin, Ji Eun;Park, Seok Jun;Choung, Se-Young
    • Journal of Ginseng Research
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    • v.46 no.2
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    • pp.283-289
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    • 2022
  • Background: Sarcopenia, defined as loss of muscle mass and strength with age, becomes a public health concern as the elderly population increases. This study aimed to determine whether the mixture of soluble whey protein hydrolysate (WPH) and Panax ginseng berry extract (GBE) has a synergetic effect on sarcopenia and, if so, to identify the relevant mechanisms and optimal mixing ratio. Methods: In the first experiment, C57BL/6 mice were hindlimb immobilized for one-week and then administered WPH 800 mg/kg, GBE 100 mg/kg, WPH 800 mg/kg+ GBE 100 mg/kg mixture, and Fructus Schisandrae extract (SFE) 200 mg/kg for two weeks. In the second experiment, experimental design was same, but mice were administered three different doses of WPH and GBE mixture (WPH 800 mg/kg+ GBE 100 mg/kg, WPH 800 mg/kg+ GBE 90 mg/kg, WPH 1000 mg/kg+ GBE 75 mg/kg). Results: In the first experiment, we confirmed the synergetic effect of WPH and GBE on muscle mass and identified that GBE was more effective on the protein synthesis side, and WPH tended to be slightly more effective for protein degradation. In the second experiment, among three different ratios, the WPH 800 mg/kg+ GBE 100 mg/kg was most effective for muscle mass and strength. The mixtures activated muscle protein synthesis via PI3K/Akt/mTORc1 pathway and inhibited muscle protein degradation via suppressing ubiquitin-proteasome system (UPS) and autophagy-lysosome system (ALS), and these effects were more GBE dose-dependent than WPH. Conclusion: The WPH and GBE mixture having a synergetic effect is a potential agent to prevent sarcopenia.

Latest Information Technologies in the UK Adults Education System

  • Tverezovska, Nina;Bilyk, Ruslana;Rozman, Iryna;Semerenko, Zhanna;Orlova, Nataliya;Vytrykhovska, Oksana;Oros, Ildiko
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.25-34
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    • 2022
  • Today, further education of adults in the UK is one of the developing areas of continuing education. The Open University with distance learning, in the process of which innovative forms and methods based on computer and telecommunication technologies are used, is particularly successful in the organization of additional education of the adult population. The advantages of distance learning, multimedia - the latest information technologies, which provide the combination of graphic images, video, sound with the help of modern computer tools, are noted. The basic principles and forms underlying the technologies and forms of work with the elderly are defined. The international experience of implementing "Universities of the Third Age" is summarized. The most widespread approach in adult education in Great Britain is informational. The use of computer technologies motivates a new paradigm in educational methods and strategies, which requires new approaches, forms of learning, and innovative ways of delivering educational materials to adult learners. Information technologies have gained great popularity in such activities as distance learning, online learning, assistance in the education management system, development of programs and virtual textbooks in various subjects, online search for information for the educational process, computer testing of students' knowledge, creation of electronic libraries, formation of a single scientific electronic environment, publication of virtual magazines and newspapers on pedagogical topics, teleconferences, expansion of international cooperation in the field of Internet education. The information technology of synchronous distance learning "online" has gained considerable popularity in the educational process today. A promising direction is the use of multimedia technologies in educational activities to create a design of a virtual computer environment by decoding audiovisual information.

Long-term administration of red ginseng non-saponin fraction rescues the loss of skeletal muscle mass and strength associated with aging in mice

  • Cho, Da-Eun;Choi, Gwang-Muk;Lee, Yong-Seok;Hong, Joon-Pyo;Yeom, Mijung;Lee, Bombi;Hahm, Dae-Hyun
    • Journal of Ginseng Research
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    • v.46 no.5
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    • pp.657-665
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    • 2022
  • Background: Sarcopenia is a new and emerging risk factor aggravating the quality of life of elderly population. Because Korean Red Ginseng (RG) is known to have a great effect on relieving fatigue and enhancing physical performance, it is invaluable to examine its potential as an anti-sarcopenic drug. Methods: Anti-sarcopenic effect of non-saponin fraction of Korean Red Ginseng (RGNS) was evaluated in C2C12 myoblasts treated with C2-ceramide to induce senescence phenotypes, and 22-month-old mice fed with chow diet containing 2% RGNS (w/w) for 4 further months. Results: The RGNS treatment significantly alleviated cellular senescence indicated by intracellular lipid accumulation, increased amount of lysosomal β-galactosidase, and reduced proliferative capacity in C2C12 myoblasts. This effect was not observed with saponin fraction. In an aged mouse, the 4-month-RGNS diet significantly improved aging-associated loss of muscle mass and strength, assessed by the weights of hindlimb skeletal muscles such as tibialis anterior (TA), extensor digitorum longus (EDL), gastrocnemius (GN) and soleus (SOL), and the cross-sectional area (CSA) of SOL muscle, and the behaviors in grip strength and hanging wire tests, respectively. During the same period, an aging-associated shift of fast-to slow-twitch muscle in SOL muscle was also retarded by the RGNS treatment. Conclusions: These findings suggested that the long-term diet of RGNS significantly prevented aging-associated muscle atrophy and reduced physical performance, and thus RGNS has a strong potential to be developed as a drug that prevents or improves sarcopenia.

Factors Affecting Residents' Propensity to Stay in Their Current Residence: Focused on Aging Effect (지역소멸 위기감이 계속거주의향에 미치는 영향에 관한 연구 - 연령의 조절효과를 중심으로 -)

  • You, Na-young;Lee, Gi-Hun;Ma, Kang-Rae
    • Journal of the Korean Regional Science Association
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    • v.38 no.4
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    • pp.19-29
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    • 2022
  • Previous studies on the factors affecting residents' migration have shown that residents who feel dissatisfied with their residential environment are more likely to move to another area than those who feel satisfied. The main purpose of this study is to investigate the subjective evaluation of the decline of the place and its impact on the intention to stay. This study used the data from Hankyoreh 21 survey of the residents who have been residing in the declining regions. The main finding of this study is that residents have a much higher propensity to stay as they become older. The fact that residents' staying intention tends to increase with age seems to be closely related to physical and economic constraints of older residents. Therefore, it can be inferred from the result that the elderly are more likely to be exposed to disadvantageous environments than the young residents in the declining regions.

Daylighting Design Factors for Korean Dementia Nursing Homes Based on the Therapeutic Effects of Light (빛에 의한 치료적 효과 기반의 한국형 치매요양시설의 자연채광 계획 요소에 관한 고찰)

  • Jee, Soo In
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.28 no.4
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    • pp.71-87
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    • 2022
  • Purpose: This study examines the daylighting design factors of Korean dementia nursing homes, in order to realize a therapeutic environment based on the therapeutic effect of light in the rapidly aging trend with an huge increase in the population of dementia in Korea. Methods: Through literature reviews, this study aims to theoretically examine the therapeutic light environment for the elderly with dementia, derive daylighting design factors of Korean dementia nursing homes, and analyze their detailed design factors. Results: The result of this study can be summarized into two points. The first one is that the daylighting design factors reflected in dementia nursing homes are derived into six factors: building layout, windows, glazing, shading devices, spaces, and interior finishings that determine the availability of daylight. The second one is that the detailed daylighting design factors are shown as primary and secondary detailed design factors, and the main values to be considered when applying these factors into dementia nursing homes are analyzed as maximizing daylight availability, optimization of the possibility of therapeutic view, and anti-glare. Implications: The daylighting design factors will contribute to maximizing the availability of daylight, optimizing the possibility of view, and minimizing the glare in the living spaces of dementia nursing homes in Korea.

Cognitive Training Protocol Design and System Implementation using AR (증강현실을 이용한 인지훈련 프로토콜 설계 및 시스템 구현)

  • Cheol-Seung, Lee;Kuk-Se, Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1207-1212
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    • 2022
  • Realistic media, the next-generation media technology in the era of the 4th industrial revolution, is becoming an issue as a technology to experience through an environment that optimizes user experience, especially! It is rapidly developing into the health and healthcare convergence and complex fields. Realistic media technologies and services are being adopted to solve the problems of the increase in chronic diseases due to the increase in the elderly population and the lack of infrastructure and professional manpower in the fields of cognitive training and rehabilitation. Therefore, in this study, a cognitive training system was designed and implemented for the purpose of improving cognitive ability and daily life activity in subjects with mild cognitive impairment (MCI) who require cognitive rehabilitation. In the future, an integrated service platform with interactive communication and immediate feedback as an intelligent cognitive rehabilitation integrated platform based on AI and BigData is left as a research project.

A Design of Growth Measurement System Considering the Cultivation Environment of Aquaponics (아쿠아포닉스의 생육 환경을 고려한 성장 측정 시스템의 설계)

  • Hyoun-Sup, Lee;Jin-deog, Kim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.27-33
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    • 2023
  • Demands for eco-friendly food materials are increasing rapidly because of increased interest in well-being and health care, deterioration of air quality due to fine dust, and various soil and water pollution. Aquaponics is a system that can solve various problems such as economic activities, environmental problems, and safe food provision of the elderly population. However, techniques for deriving the optimal growth environment should be preceded. In this paper, we intend to design an intelligent plant growth measurement system that considers the characteristics of existing aquaponics. In particular, we would like to propose a module configuration plan for learning data and judgment systems when providing a uniform growth environment, focusing on designing systems suitable for production sites that do not have high-performance processing resources among intelligent aquaponics production management modules. It is believed that the proposed system can effectively perform deep learning with small analysis resources.

Effect of Generation Age as a Determinant of National Housing Price (국민주택 가격결정요인으로서 세대연령의 효과)

  • Choi, Won-Joon
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.252-259
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    • 2022
  • In order to discuss the implications for demographic changes due to an aging society, this study sought to verify the effect of generational age with a focus on the case of the national housing scale transaction in Seoul Seocho-gu. For the result, variance and linear regression analysis, and when the analysis showed a significant correlation between age and transaction price, and corrected the trading region and year, it was also confirmed that the higher the age in most regions, the lower the trading price tendency. Based on the results of this analysis, efforts to improve the adequacy and fairness of pricing in trading cases, and the direction of policy change due to the aging of the population were discussed, and on the basis of this, we even proposed measures for the support of the policy authorities. In addition, the management condition of individual communal houses was an important factor in the sale and the lack of utilization of Internet-based platforms was expected to be the cause of the low price sale. However, due to the use of 2nd order data on real trading cases, the direction of subsequent research was presented together with respect to the limitations of not being able to control a wider variety of individual characteristics.

Activity Type Detection Of Random Forest Model Using UWB Radar And Indoor Environmental Measurement Sensor (UWB 레이더와 실내 환경 측정 센서를 이용한 랜덤 포레스트 모델의 재실활동 유형 감지)

  • Park, Jin Su;Jeong, Ji Seong;Yang, Chul Seung;Lee, Jeong Gi
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.899-904
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    • 2022
  • As the world becomes an aging society due to a decrease in the birth rate and an increase in life expectancy, a system for health management of the elderly population is needed. Among them, various studies on occupancy and activity types are being conducted for smart home care services for indoor health management. In this paper, we propose a random forest model that classifies activity type as well as occupancy status through indoor temperature and humidity, CO2, fine dust values and UWB radar positioning for smart home care service. The experiment measures indoor environment and occupant positioning data at 2-second intervals using three sensors that measure indoor temperature and humidity, CO2, and fine dust and two UWB radars. The measured data is divided into 80% training set data and 20% test set data after correcting outliers and missing values, and the random forest model is applied to evaluate the list of important variables, accuracy, sensitivity, and specificity.

Anomaly Event Detection Algorithm of Single-person Households Fusing Vision, Activity, and LiDAR Sensors

  • Lee, Do-Hyeon;Ahn, Jun-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.6
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    • pp.23-31
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    • 2022
  • Due to the recent outbreak of COVID-19 and an aging population and an increase in single-person households, the amount of time that household members spend doing various activities at home has increased significantly. In this study, we propose an algorithm for detecting anomalies in members of single-person households, including the elderly, based on the results of human movement and fall detection using an image sensor algorithm through home CCTV, an activity sensor algorithm using an acceleration sensor built into a smartphone, and a 2D LiDAR sensor-based LiDAR sensor algorithm. However, each single sensor-based algorithm has a disadvantage in that it is difficult to detect anomalies in a specific situation due to the limitations of the sensor. Accordingly, rather than using only a single sensor-based algorithm, we developed a fusion method that combines each algorithm to detect anomalies in various situations. We evaluated the performance of algorithms through the data collected by each sensor, and show that even in situations where only one algorithm cannot be used to detect accurate anomaly event through certain scenarios we can complement each other to efficiently detect accurate anomaly event.