• Title/Summary/Keyword: role play areas

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Role of Probiotics in Human Gut Microbiome-Associated Diseases

  • Kim, Seon-Kyun;Guevarra, Robin B.;Kim, You-Tae;Kwon, Joongi;Kim, Hyeri;Cho, Jae Hyoung;Kim, Hyeun Bum;Lee, Ju-Hoon
    • Journal of Microbiology and Biotechnology
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    • v.29 no.9
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    • pp.1335-1340
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    • 2019
  • Probiotics, including bacteria and yeast, are live microorganisms that have demonstrated beneficial effects on human health. Recently, probiotic bacteria are constantly being studied and their applications are also being considered in promising adjuvant treatments for various intestinal diseases. Clinical trials and in vivo experiments have extended our current understanding of the important roles that probiotics play in human gut microbiomeassociated diseases. It has been documented through many clinical trials that probiotics could shape the intestinal microbiota leading to potential control of multiple bowel diseases and promotion of overall wellness. In this review, we focused on the relationship between probiotics and the human gut microbiota and its roles in gut microbiome-associated diseases. Here, we also discuss future directions and research areas that need further elucidation in order to better understand the roles of probiotics in the treatment of intestinal diseases.

Horizon Run 5: the largest cosmological hydrodynamic simulation

  • Kim, Juhan;Shin, Jihye;Snaith, Owain;Lee, Jaehyun;Kim, Yonghwi;Kwon, Oh-Kyung;Park, Chan;Park, Changbom
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.33.2-33.2
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    • 2019
  • Horizon Run 5 is the most massive cosmological hydrodynamic simulation ever performed until now. Owing to the large spatial volume ($717{\times}80{\times}80[cMpc/h]^3$) and the high resolution down to 1 kpc, we may study the cosmological effects on star and galaxy formations over a wide range of mass scales from the dwarf to the cluster. We have modified the public available Ramses code to harness the power of the OpenMP parallelism, which is necessary for running simulations in such a huge KISTI supercomputer called Nurion. We have reached z=2.3 from z=200 for a given simulation period of 50 days using 2500 computing nodes of Nurion. During the simulation run, we have saved snapshot data at 97 redshifts and two light cone space data, which will be used later for the study of various research fields in galaxy formation and cosmology. We will close this talk by listing possible research topics that will play a crucial role in helping us take lead in those areas.

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Interleaved High Step-Up Boost Converter

  • Ma, Penghui;Liang, Wenjuan;Chen, Hao;Zhang, Yubo;Hu, Xuefeng
    • Journal of Power Electronics
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    • v.19 no.3
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    • pp.665-675
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    • 2019
  • Renewable energy based on photovoltaic systems is beginning to play an important role to supply power to remote areas all over the world. Owing to the lower output voltage of photovoltaic arrays, high gain DC-DC converters with a high efficiency are required in practice. This paper presents a novel interleaved DC-DC boost converter with a high voltage gain, where the input terminal is interlaced in parallel and the output terminal is staggered in series (IPOSB). The IPOSB configuration can reduce input current ripples because two inductors are interlaced in parallel. The double output capacitors are charged in staggered parallel and discharged in series for the load. Therefore, IPOSB can attain a high step-up conversion and a lower output voltage ripple. In addtion, the output voltage can be automatically divided by two capacitors, without the need for extra sharing control methods. At the same time, the voltage stress of the power devices is lowered. The inrush current problem of capacitors is restrained by the inductor when compared with high gain converters with a switching-capacitor structure. The working principle and steady-state characteristics of the converter are analyzed in detail. The correctness of the theoretical analysis is verified by experimental results.

Operational Resilience and Human Capital Toward Corporate Sustainable Longevity in Indonesian "Jamu" Industry

  • IRAWAN, Dadang;PRABOWO, Harjanto;KUNCORO, Engkos Achmad;THOHA, Nurianna
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1035-1044
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    • 2021
  • Corporate longevity is an interesting issue from a theoretical point of view. In today's uncertain economic climate, the first priority for a company is survival. The longevity of an organization is basically one of the areas that can classify the sustainability of a company. Known as the cultural heritage of Indonesia, the traditional herbal medicine industry faces challenges of longevity. The word Jamu is a generic expression for traditional herbal medicine in Indonesia. The Jamu industry as Indonesia's cultural heritage must be preserved with good support from a technical, regulatory, and commercial perspective so that Jamu companies do not go into the decline stage. Operational resilience is usually defined as the ability of an organization to adapt rapidly to changing environments. This study aims to identify the effect of operational resilience and human capital on corporate sustainable longevity through innovation performance. The questions are addressed through empirical research of 108 small companies that produce Jamu, traditional herbal medicine in Java, Indonesia. This study was conducted during July-September 2020. Data analysis is carried out with SEM-PLS using SmartPLS software version 3.0 to evaluate the data collected. The results indicated that operational resilience influences corporate sustainable longevity directly and indirectly through innovation performance. However, human capital could not play the antecedent role to corporate sustainable longevity directly or even indirectly through innovation performance. Human capital indicators require deeper exposure in the context of small industries.

Cost Management of Ecotourism Programs: A Case Study of the Community Enterprises in Thailand

  • DUNGTRIPOP, Wilawan;SRISUWAN, Praphada
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.181-193
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    • 2021
  • Thailand's tourism industry contributed to over three trillion baht in 2019. Tourist attractions across Thailand attract tourists around the world with their natural scenery, lifestyles, and cultures, especially in those called "second-tier cities". Community enterprises play a vital role to drive the tourism industry to local areas. However, most community enterprises lack professional accounting knowledge. This research aims to provide guidelines for ecotourism cost management of community enterprises in Thailand. Participatory Action Research (PAR) was employed to investigate the current circumstances of the Banlaem enterprise by using in-depth interviews to identify problems in cost management. Then, the focus and small group meetings were organized to monitor and evaluate solutions. The results reveal that the cost of VIP-Two Days trip was generating the highest net profit and margin, followed by VIP-One Day trip, but net losses were detected on the Students-One Day trip, even though income was greater than the variable costs, revenues didn't cover fixed costs. Thus, accounting knowledge could be a major concern of these enterprises. They should systematically record revenues and expenses, set appropriate labor costs, reduce production costs by using seasonal seafood and make use of vegetables in their gardens, and price products according to their production costs.

Development of Key Performance Indicators in Ammunition Demilitarization Facility Using the Balanced Score Card (균형성과표(BSC)를 활용한 탄약 비군사화 시설의 핵심성과지표 개발)

  • Bae, Young-Min;Han, Seung-Jo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.1
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    • pp.17-25
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    • 2021
  • Ammunition Demilitarization facility (ADF) should be set up the feasible goals and continue to operate, taking into account non-profit characteristics. However, due to the lack of performance measurement methods in ADF, which are essential to national policy at a significant cost each year, the reliability of the evaluation results can be insufficient. In this paper, the Balanced Score Card (BSC) method was applied that could be evaluated to reflect the financial and non-financial features. The relevant literature research and army regulations reflected the results of various interviews of the expert group. The extraction of success performance area in ADF was confirmed using the BSC method and the Decision Variable (DV) candidate was created to use regression for selecting the DV. Additionally, the key performance indicator was presented by verification the feasibility of content by conducting the survey of experts. The implications of this paper are as follows. First, the proposed BSC model was found to be suitable for practical use in ADF reflecting the non-profit characteristics. Second, accurate evaluation of ADF can contribute to long-term development of ADF. Finally, it can be applied to the management process of the other military sector, so it can be expected to play a role in providing basic data and spreading it to other areas.

Potential soil loss evaluation using the RUSLE/RUSLE-runoff models in Wadi Saida watershed (N-W Algeria)

  • Cherif, Kessar;Yahia, Nasrallah;Bilal, Bilssag
    • Advances in environmental research
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    • v.9 no.4
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    • pp.251-273
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    • 2020
  • Soil degradation has become a major worldwide environmental problem, particularly in arid and semi-arid climate zones due to irregular rainfall and the intensity of storms that frequently generate heavy flooding. The main objective of this study is the use of geographic information system and remote sensing techniques to quantify and to map the soil losses in the Wadi Saida watershed (624 ㎢) through the revised universal soil loss equation model and a proposed model based on the surface erosive runoff. The results Analysis revealed that the Wadi Saida watershed showed moderate to moderately high soil loss, between 0 and 1000 t/㎢/year. In the northern part of the basin in the region of Sidi Boubkeur and the mountains of Daia; which are characterized by steep slopes, values can reach up to 3000 t/㎢/year. The two models in comparison showed a good correlation with R = 0.95 and RMSE = 0.43; the use of the erosive surface runoff parameter is effective to estimate the rate of soil loss in the watersheds. The problem of soil erosion requires serious interventions, particularly in basins with disturbances and aggressive climatic parameters. Good agricultural practices and forest preservation areas play an important role in soil conservation.

Examination on Autonomous Recovery Algorithm of Piping System (배관 체계 자율 복구 알고리즘 비교, 분석 및 고찰)

  • Yang, Dae Won;Lee, Jeung-hoon;Shin, Yun-Ho
    • Journal of the Korean Society of Safety
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    • v.36 no.4
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    • pp.1-11
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    • 2021
  • Piping systems comprising pumps and valves are essential in the power plant, oil, and defense industry. Their purpose includes a stable supply of the working fluid or ensuring the target system's safe operation. However, piping system accidents due to leakage of toxic substances, explosions, and natural disasters are prevalent In addition, with the limited maintenance personnel, it becomes difficult to detect, isolate, and reconfigure the damage of the piping system and recover the unaffected area. An autonomous recovery piping system can play a vital role under such circumstances. The autonomous recovery algorithms for the piping system can be divided into low-pressure control algorithms, hydraulic resistance control algorithms, and flow inventory control algorithms. All three methods include autonomous opening/closing logic to isolate damaged areas and recovery the unaffected area of piping systems. However, because each algorithm has its strength and weakness, appropriate application considering the overall design, vital components, and operating conditions is crucial. In this regard, preliminary research on algorithm's working principle, its design procedures, and expected damage scenarios should be accomplished. This study examines the characteristics of algorithms, the design procedure, and working logic. Advantages and disadvantages are also analyzed through simulation results for a simplified piping system.

Calculation and measurement of Al prompt capture gammas above water in a pool-type reactor

  • Czakoj, Tomas;Kostal, Michal;Losa, Evzen;Matej, Zdenek;Simon, Jan;Mravec, Filip;Cvachovec, Frantisek
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3824-3832
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    • 2022
  • Prompt capture gammas are an important part of the fission reactor gamma field. Because some of the structural materials after neutron capture can emit photons with high energies forming the dominant component of the gamma spectrum in the high energy region, the following study of the high energy capture gamma was carried out. High energy gamma radiation may play a major role in areas of the radiation sciences as reactor dosimetry. The HPGe measurements and calculations of the high-energy aluminum capture gamma were performed at two moderator levels in the VR-1 pool-type reactor. The result comparison for nominal levels was within two sigma uncertainties for the major 7.724 MeV peak. A larger discrepancy of 60% was found for the 7.693 MeV peak. The spectra were also measured using a stilbene detector, and a good agreement between HPGe and stilbene was observed. This confirms the validity of stilbene measurements of gamma flux. Additionally, agreement of the wide peak measurement in 7-9.2 MeV by stilbene detector shows the possibility of using the organic scintillators as an independent power monitor. This fact is valid in these reactor types because power is proportional to the thermal neutron flux, which is also proportional to the production of capture gammas forming the wide peak.

Detecting Boundary of Erythema Using Deep Learning (딥러닝을 활용한 피부 발적의 경계 판별)

  • Kwon, Gwanyoung;Kim, Jong Hoon;Kim, Young Jae;Lee, Sang Min;Kim, Kwang Gi
    • Journal of Korea Multimedia Society
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    • v.24 no.11
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    • pp.1492-1499
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    • 2021
  • Skin prick test is widely used in diagnosing allergic sensitization to common inhalant or food allergens, in which positivities are manually determined by calculating the areas or mean diameters of wheals and erythemas provoked by allergens pricked into patients' skin. In this work, we propose a segmentation algorithm over U-Net, one of the FCN models of deep learning, to help us more objectively grasp the erythema boundaries. The performance of the model is analyzed by comparing the results of automatic segmentation of the test data to U-Net with the results of manual segmentation. As a result, the average Dice coefficient value was 94.93%, the average precision and sensitivity value was 95.19% and 95.24% respectively. We find that the proposed algorithm effectively discriminates the skin's erythema boundaries. We expect this algorithm to play an auxiliary role in skin prick test in real clinical trials in the future.