• Title/Summary/Keyword: Energy data

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Analysis of difference in body fluid composition and dietary intake between Korean adults with and without type 2 diabetes mellitus (한국성인의 제2형 당뇨병 유무에 따른 체액 조성 차이 및 영양소 섭취량 분석)

  • Yu-Gyeong Kim;Ha-Neul Choi ;Jung-Eun Yim
    • Journal of Nutrition and Health
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    • v.56 no.4
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    • pp.377-390
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    • 2023
  • Purpose: Diabetes mellitus (DM) causes body fluid imbalance because of hyperglycemia, but there is a lack of research on the relationship between DM and body fluid imbalance in the Korean population. This study compared the differences in body fluid composition and dietary intake between individuals with type 2 DM (T2DM) and a normal control (NC) group without the disease. Methods: In this study, 36 subjects with T2DM and 21 without diabetes were divided into the T2DM and NC groups. The subjects were divided into four subgroups to assess differences in body fluid volume according to sex: men T2DM group (n = 24), men NC group (n = 9), women T2DM group (n = 12), and women NC group (n = 12). The body fluid composition was measured using bioelectrical impedance analysis, including intracellular water (ICW), extracellular water (ECW), total body water (TBW), ECW/ICW, and ECW/TBW. Nutrient intake was evaluated using their dietary records. Results: The results showed that the ECW/ICW and the ECW/TBW were significantly higher in the T2DM group compared to the NC group. Both men and women in the T2DM group showed significantly higher ECW/ICW and ECW/TBW than the respective NC group. The T2DM group had a higher carbohydrate, dietary fiber, vitamin A, vitamin C, sodium, and potassium intake per 1,000 kcal and lower total daily energy, fat, and cholesterol intake per 1,000 kcal than the NC group. Conclusion: These results suggest a positive association between T2DM and body fluid imbalance. This study can be used widely as basic data for the evaluation and diagnosis of diabetic complications in the future.

EU Enlargement and economic environmental change of Russia and Eastern Europe - From asymmetry and subsidiarity paradigm in industrial cooperative paradigm (EU의 동방확대에 따른 동유럽·러시아간의 경제 환경 변화 - 비대칭성 및 보완성 패러다임에서 산업협력 패러다임으로)

  • Kim, Sang Won
    • Journal of International Area Studies (JIAS)
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    • v.13 no.1
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    • pp.135-156
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    • 2009
  • The two waves of EU enlargement in 2004 and 2007, have been milestones of European integration. While research has been conducted into the impact of these events on both the European and the global economies,1 there have been few attempts to assess the effects of EU enlargement and the introduction of the euro on countries such as Russia, which neighbour the EU but currently have no perspective of accession. This paper aims to provide an assessment of the effects that EU enlargement and the introduction of the euro have had on Russia, the largest country neighbouring the EU. In particular, it focuses on trade and investment links between the EU and Russia, as well as the use of the energy by Russian residents and authorities. Economic links between Russia and the EU are found to have strengthened considerably in the areas of trade, investment and other financial flows in recent years. Strong growth, particularly in Russia, as well as the high price of oil and gas, Russia's major export items, has facilitated this expansion of trade and finance. Moreover, available data do not suggest that EU enlargement has had a negative impact on Russia in terms of trade or investment diversion. Thus, the strategic partnership between Russia and the EU has been increasingly underpinned by an expansion of cross-border economic activities. Thus, the paper contributes to two broad strands of literature on this subject, namely the impact of regional trade and economic arrangements on non-member countries and the international role of currencies.

Development of Detailed Design Automation Technology for AI-based Exterior Wall Panels and its Backframes

  • Kim, HaYoung;Yi, June-Seong
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1249-1249
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    • 2022
  • The facade, an exterior material of a building, is one of the crucial factors that determine its morphological identity and its functional levels, such as energy performance, earthquake and fire resistance. However, regardless of the type of exterior materials, huge property and human casualties are continuing due to frequent exterior materials dropout accidents. The quality of the building envelope depends on the detailed design and is closely related to the back frames that support the exterior material. Detailed design means the creation of a shop drawing, which is the stage of developing the basic design to a level where construction is possible by specifying the exact necessary details. However, due to chronic problems in the construction industry, such as reducing working hours and the lack of design personnel, detailed design is not being appropriately implemented. Considering these characteristics, it is necessary to develop the detailed design process of exterior materials and works based on the domain-expert knowledge of the construction industry using artificial intelligence (AI). Therefore, this study aims to establish a detailed design automation algorithm for AI-based condition-responsive exterior wall panels and their back frames. The scope of the study is limited to "detailed design" performed based on the working drawings during the exterior work process and "stone panels" among exterior materials. First, working-level data on stone works is collected to analyze the existing detailed design process. After that, design parameters are derived by analyzing factors that affect the design of the building's exterior wall and back frames, such as structure, floor height, wind load, lift limit, and transportation elements. The relational expression between the derived parameters is derived, and it is algorithmized to implement a rule-based AI design. These algorithms can be applied to detailed designs based on 3D BIM to automatically calculate quantity and unit price. The next goal is to derive the iterative elements that occur in the process and implement a robotic process automation (RPA)-based system to link the entire "Detailed design-Quality calculation-Order process." This study is significant because it expands the design automation research, which has been rather limited to basic and implemented design, to the detailed design area at the beginning of the construction execution and increases the productivity by using AI. In addition, it can help fundamentally improve the working environment of the construction industry through the development of direct and applicable technologies to practice.

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Clinical Application of Focused Ultrasound in Korean Medicine (집속초음파 치료의 한의 임상 활용에 대한 고찰)

  • Yoomin Choi;Maeum Lee;Nayeon Hur;Eunhee Lee;Hyugyong Choi;Hyung-Sik Seo;Eui-Hyoung Hwang;Insoo Jang
    • Korean Journal of Acupuncture
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    • v.40 no.3
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    • pp.79-89
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    • 2023
  • Objectives : The purpose of this study is to investigate various application methods of focused ultrasound and apply them to clinical use in Korean medicine. Methods : Search was performed using the search engines of electronic databases, including PubMed, ScienceDirect, Cumulative Index to Nursing and Allied Health Literature (CINAHL), ScienceON, Oriental Medicine Advanced Searching Integrated System (OASIS), China National Knowledge Infrastructure (CNKI), Wanfang Data, Japan Science Technology Information Aggregator, Electronic (J-STAGE) and Citation Information by NII (CiNii), from inception to July 2023 without language limitation. Inclusion criteria were clinical studies including randomized controlled trials (RCTs), and animal experimental studies related with focused ultrasound treatments for acupoints or meridian sinews. Results : Total 17 papers, 7 for RCT, 6 for in vivo animal studies, and other experimental studies, were finally selected. Indications used in studies were shoulder pain, back pain, chronic back pain, and degenerative knee arthritis. In experimental studies, studies on animal models of hypoxic ischemic brain damage and hyperlipidemia were also conducted. As for the acupoints, LR3, LI4, and ST36 were used in clinical studies and, in animal experimental studies, GV20, KI1, and ST36 were used. As for the dose, 4 studies below 3 W/cm2 and 3 studies in the range of 0.625 to 5 W/cm2 in clinical studies, and all studies did not exceed 5 W/cm2. In animal experimental studies, 0.5 W/cm2, 2 W/cm2, 7.5 WW/cm2, 15 W/cm2, 10~20 W/cm2 were used. In all three studies describing the penetration depth during irradiation, it was less than 1 cm. Conclusions : We suggest that focused ultrasound is an appropriate treatment tool for stimulating the acupoints to transfer heat energy. Future studies with rigorous and well-designed RCTs for various diseases will be required to ascertain the focused ultrasound stimulate acupoints or meridian sinews.

“Aluminium Nitride Technology-a review of problems and potential"

  • Dryburgh, Peter M.
    • Proceedings of the Korea Association of Crystal Growth Conference
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    • 1996.06a
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    • pp.75-87
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    • 1996
  • This review is presented under the following headings: 1.Introduction 1.1 Brief review of the properties of AlN 1.2 Historical survey of work on ceramic and single crystal AlN 2.Thermochemical background 3.Crystal growth 4.Doping 5.Potential applications and future work The known properties of AlN which make it of interest for various are discussed briefly. The properties include chemical stability, crystal structure and lattice constants, refractive indices and other optical properties, dielectric constant, surface acoustic wave velocity and thermal conductivity. The history of work in single crystals, thin films and ceramics are outlined and the thermochemistry of AlN reviewed together with some of the relevant properties of aluminium and nitrogen; the problems encountered in growing crystals of AlN are shown to arise directly from these thermochemical relationships. Methods have been reported in the literature for growing AlN crystals from melts, solution and vapour and these methods are compared critically. It is proposed that the only practicable approach to the growth of AlN is by vapour phase methods. All vapour based procedures share the share the same problems: $.$the difficulty of preventing contamination by oxygen & carbon $.$the high bond energy of molecular nitrogen $.$the refractory nature of AlN (melting point~3073K at 100ats.) $.$the high reactivity of Al at high temperatures It is shown that the growth of epitactic layers and polycrystalline layers present additional problems: $.$chemical incompatibility of substrates $.$crystallographic mismatch of substrates $.$thermal mismatch of substrates The result of all these problems is that there is no good substrate material for the growth of AlN layers. Organometallic precursors which contain an Al-N bond have been used recently to deposit AlN layers but organometallic precursors gave the disadvantage of giving significant carbon contamination. Organometallic precursors which contain an Al-N bound have been used recently to deposit AlN layers but organometallic precursors have the disadvantage of giving significant carbon contamination. It is conclude that progress in the application of AlN to optical and electronic devices will be made only if considerable effort is devoted to the growth of larges, pure (and particularly, oxygen-free) crystals. Progress in applications of epi-layers and ceramic AlN would almost certainly be assisted also by the availability of more reliable data on the pure material. The essential features of any stategy for the growth of AlN from the vapour are outlined and discussed.

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A Method for Estimating Input-output Tables with Disaggregated Sector (부문 분리된 산업연관표 추계방법)

  • Kiho Jeong
    • Environmental and Resource Economics Review
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    • v.31 no.4
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    • pp.849-864
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    • 2022
  • In case of a specific sector being divided into sub-sectors, this study presents a process for estimating an input-output table, which is frequently used as basic data in fields of energy and environment economics. RAS method, which is universally used for this case, requires information on production, intermediate input sum, and intermediate demand sum for each sector in the new table. But in many cases, it is difficult to secure information on intermediate demand sum by sector. This study suggests a process for estimating a new input-output table without using information of intermediate demand sum in the case of sector separation, under the assumption that information of production value and intermediate input sum by sector are available. The key idea is that the values of many elements in the input-output table after disaggregation are the same as those in the table before disaggregation and that the sum of the elements after disaggregation, equals the values of the elements before disaggregation. The process of estimating the intemediate transaction matrix or the input coefficient matrix is presented by using these information instead of intermediate demand sum information. A small-scale simulation shows that the average error rate of the process proposed in this study is about 11.23% in estimating input coefficients, which is smaller than the 11.30% estimation error of RAS using the information of intermediate demand sum. However, since it is known in the literature that using additional information does not always improve estimation performance compared to not using it, additional research on various simulations is needed to apply the method of this study to reality.

Exploring the Microbial Community and Functional Characteristics of the Livestock Feces Using the Whole Metagenome Shotgun Sequencing

  • Hyeri Kim;Eun Sol Kim;Jin Ho Cho;Minho Song;Jae Hyoung Cho;Sheena Kim;Gi Beom Keum;Jinok Kwak;Hyunok Doo;Sriniwas Pandey;Seung-Hwan Park;Ju Huck Lee;Hyunjung Jung;Tai Young Hur;Jae-Kyung Kim;Kwang Kyo Oh;Hyeun Bum Kim;Ju-Hoon Lee
    • Journal of Microbiology and Biotechnology
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    • v.33 no.1
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    • pp.51-60
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    • 2023
  • The foodborne illness is the important public health concerns, and the livestock feces are known to be one of the major reservoirs of foodborne pathogens. Also, it was reported that 45.5% of foodborne illness outbreaks have been associated with the animal products contaminated with the livestock feces. In addition, it has been known that the persistence of a pathogens depends on many potential virulent factors including the various virulent genes. Therefore, the first step to understanding the public health risk of livestock feces is to identify and describe microbial communities and potential virulent genes that contribute to bacterial pathogenicity. We used the whole metagenome shotgun sequencing to evaluate the prevalence of foodborne pathogens and to characterize the virulence associated genes in pig and chicken feces. Our data showed that the relative abundance of potential foodborne pathogens, such as Bacillus cereus was higher in chickens than pigs at the species level while the relative abundance of foodborne pathogens including Campylobacter coli was only detected in pigs. Also, the microbial functional characteristics of livestock feces revealed that the gene families related to "Biofilm formation and quorum sensing" were highly enriched in pigs than chicken. Moreover, the variety of gene families associated with "Resistance to antibiotics and toxic compounds" were detected in both animals. These results will help us to prepare the scientific action plans to improve awareness and understanding of the public health risks of livestock feces.

The Effect of Dietary Fiber Levels on the Size of Brolier′s Gut and Chromium Turnover Time in Each Segment (사료내 섬유소 수준이 브로일러의 소화기 발달과 장 내용물의 통과 시간에 미치는 영향)

  • Nahm K. H.;Carlson C. W.
    • Korean Journal of Poultry Science
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    • v.14 no.1
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    • pp.9-13
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    • 1987
  • Three-week-old, broiler-type, mixed sex chicks were divided into replicate groups of 10 birds each and fed for 5 weeks. The wheat bran was defatted and added at 0, 10 and 20% levels. A fourth group received the 20% wheat bran plus a cellulase enzyme added at the level of 0.008%. After a five-week experimental period without a marker a 24-pen battery on the four diets were supplemented with 1% chromic oxide and fed 100g daily. After a 2-day preliminary period, feces were collected three times daily from each diet group for two days at 2, 4 or 8 hours after feeding. At the end of 4 days, within each diet group, birds were randomly selected for slaughter at 2, 4 or 8 hours after feeding and the entire gastrointestinal tract was removed and ligated to form five compartments. The lengths of each segment were measured after straightening, and the gizzard was emptied and weighed. The summarized data showed that the group fed on the high-energy basal diet had the lowest gizzard weight (P〈0.05). Chromium turnover time (minutes) in the each segment and entire GI tract of chicks was not influenced by the high fiber diet or cellulase.

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Photochemical Conversion of NOX in Atmosphere by Photocatalyst Coated Mortar (광촉매 코팅한 모르타르를 이용한 대기 중 NOX의 광화학적 변환)

  • Hyeon Jin;Kyong Ku Yun;Hajin Choi;Kyo-Seon Kim
    • Korean Chemical Engineering Research
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    • v.61 no.2
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    • pp.240-246
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    • 2023
  • This study was performed to convert NOx in atmosphere by photochemical reaction utilizing the eco-friendly solar energy. The mortar specimen coated with photocatalyst was fabricated and the photochemical conversion efficiency of NOx was analyzed. The photocatalyst coated concrete was fabricated by first adding TiO2 photocatalyst on the bottom of mold first and next adding cement mortar and, then, curing the concrete mortar. The grease was sprayed on the bottom of mold in advance so that the concrete can be demolded easily after curing. The conversion efficiencies of NOx by photochemical reactions were investigated systematically by changing the process variable conditions of amount of TiO2 coating, UV-A light intensity, total gas flow rate, relative humidity and initial NOx concentration. It was confirmed that the photocatalyst coated concrete fabricated in this study could convert NOx successfully for various process conditions in atmosphere. In future, we believe this research result can be utilized as basic data to design the infrastructure of building, tunnel and road for controlling efficiently the air pollutants such as NOx, SOx, and VOCs.

A Study on the Development Methodology of Intelligent Medical Devices Utilizing KANO-QFD Model (지능형 메디컬 기기 개발을 위한 KANO-QFD 모델 제안: AI 기반 탈모관리 기기 중심으로)

  • Kim, Yechan;Choi, Kwangeun;Chung, Doohee
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.217-242
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    • 2022
  • With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.