International Journal of Computer Science & Network Security
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v.22
no.1
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pp.340-346
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2022
The article examines the formation of the scientific paradigm of transformation of the potential-forming space of the regional economy under the influence of intellectual and innovative determinants. Based on the study of different scientific views on the nature and properties of potential-forming space through the study of approaches to understanding the concept of "space" clarified the complexity and multifaceted nature of the phenomenon and found that its characteristics are relevant to the industrial development model. It is revealed that the leading modern trends related to the spread of globalization and regionalization, rapid development of information and communication technologies, diffusion of innovations accompany the transition from industrial to post-industrial development and its development, which leads to new development: changes production, nature and relations between business entities, etc. It is proved that under such conditions, the region as a key element of the economic system, acquires a leading role in achieving sustainable and balanced development. These processes significantly affect the potential-forming space of the regional economy under the influence of intellectual and innovative determinants, leading to the need for its transformation and change in accordance with modern realities, which is reflected in thorough research on the formation of scientific paradigm based on the formation of its theoretical foundations and methodological basis. This study reveals the essence, role, functions, structure, process of formation of the scientific paradigm of transformation of the potential-forming space of the regional economy under the influence of intellectual and innovative determinants. It is proved that the formation of the modern scientific paradigm of transformation of the potential-forming space of the regional economy under the influence of intellectual and innovative determinants occurs in the context of building a post-industrial model of development, accompanied by consideration of the region as a spatial object territories from the physical plane to the spatial environment in which the development of human capital, innovation and self-development of the region. Taking into account the above, the article outlines the prerequisites and factors of formation of the scientific paradigm of transformation of the potential-forming space of the regional economy under the influence of intellectual and innovative determinants.
On this study, we've analyzed Emotional labor's effect on turnover intention with mediation of flourishing and moderate of social support, targeting the 323 employees working in a downtown duty free store by using SPSS 22.0 and SPSS PROCESS MACRO(V. 2.16.3) to verify used study structure. From this study, a few main things can be summarized as follow. First, there is a positively relative relationship between emotional labor and turn over intention also negatively relative relationship between flourishing and social support after study. Secondly, It is founded out there is a mediation effect of flourishing between emotional labor and turn over intention. Thirdly, Flourishing works as mediator and social support is works as a moderator fact on flourishing. Fourthly, social support effect works better when emotional labor lever is higher. Based on this result, we provide some implications, advices and limitations for alleviating turn over coming from emotion labor level of duty free working clerks.
Energy-resolved neutron imaging is an effective way to investigate the internal structure and residual stress of materials. Different sample sizes have varying requirements for the detector's imaging field of view (FOV) and spatial resolution. Therefore, a dual-mode energy-resolved neutron imaging detector was developed, which mainly consisted of a neutron scintillator screen, a mirror, imaging lenses, and a time-stamping optical fast camera. This detector could operate in a large FOV mode or a high spatial resolution mode. To evaluate the performance of the detector, the neutron wavelength spectra and the multiple spatial resolution tests were conducted at CSNS. The results demonstrated that the detector accurately measured the neutron wavelength spectra selected by a bandwidth chopper. The best spatial resolution was about 20 ㎛ in high spatial resolution mode after event reconstruction, and a FOV of 45.0 mm × 45.0 mm was obtained in large FOV mode. The feasibility was validated to change the spatial resolution and FOV by replacing the scintillator screen and adjusting the lens magnification.
Zhihao Zhang;Huijiao Yan;Hidayat Hussain;Xiangfeng Chen;Jeong Hill Park;Sung Won Kwon;Lei Xie;Bowen Zheng;Xiaohui Xu;Daijie Wang;Jinao Duan
Journal of Ginseng Research
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v.48
no.5
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pp.454-463
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2024
Background: Panax quinquefolius L, widely recognized for its valuable contributions to medicine, has aroused considerable attention globally. Different from the extensive research has been dedicated to the root of P. quinquefolius, its berry has received relatively scant focus. Given its promising medicinal properties, this study was focused on the structural characterizations and anti-inflammatory potential of acidic polysaccharides from the P. quinquefolius berry. Materials and methods: P. quinquefolius berry was extracted with hot water, precipitated by alcohol, separated by DEAE-52-cellulose column to give a series of fractions. One of these fractions was further purified via Sephadex G-200 column to give three fractions. Then, the main fraction named as AGBP-A3 was characterized by methylation analysis, NMR spectroscopy, etc. Its anti-inflammatory activity was assessed by RAW 264.7 cell model, zebrafish model and molecular docking. Results: The main chain comprised of α-L-Rhap, α-D-GalAp and β-D-Galp, while the branch consisted mainly of α-L-Araf, β-D-Glcp, α-D-GalAp, β-D-Galp. The RAW264.7 cell assay results showed that the inhibition rates against IL-6 and IL-1β secretion at the concentration of 625 ng/mL were 24.83 %, 11.84 %, while the inhibition rate against IL-10 secretion was 70.17 % at the concentration of 312 ng/mL. In the zebrafish assay, the migrating neutrophils were significantly reduced in number, and their migration to inflammatory tissues was inhibited. Molecular docking predictions correlated well with the results of the anti-inflammatory assay. Conclusion: The present study demonstrated the structure of acidic polysaccharides of P. quinquefolius berry and their effect on inflammation, providing a reference for screening anti-inflammatory drugs.
It has been 7 months since medical students boycotted classes and resident doctors left hospitals in protest against the government's policy to increase the number of doctors. As education was suspended and services at university hospitals reduced, medical gaps in medical care have emerged. As a result, concerns are growing about a potential crisis in the healthcare system. The reason for the doctors' strong opposition to the policy lies in several issues that need improvement in the government's decision-making process. By reviewing these issues, we look forward to drawing lessons for making better policy decisions in the future. First, because the evidence supporting policy decisions has various characteristics and scopes, it is important to thoroughly discuss these grounds with stakeholders. Second, the discussion structure for reviewing evidence and making decisions should consist of members capable of fully negotiating diverse perspectives and should be operated through a fair and transparent process. If these steps are not properly implemented, conflicts surrounding the evidence could escalate, thereby lowering trust in the government. When stakeholders lose trust in the government, the social costs of implementing policies may rise, and policy efficiency may decline. Therefore, it is time to restructure the decision-making system in the direction of reducing potential conflicts that may arise during the future policy implementation process and increasing trust in the government.
Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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2001.06a
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pp.1126-1126
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2001
The paper presented here is the initial part of a larger study, in which it was determined which quality parameters in cheese powder could already be predicted by NIR at an early stage in the process and which could only be predicted at the final stages of the process. This initial study was performed in order to establish the levels and nature of variation within and between batches such that the subsequent data collection could be tackled optimally. The perspectives evolved into more than was originally planned and revealed some interesting uses of NIR-technology. Cheese powder production starts as a batch process, where waste cheese from other dairies is melted down in a vat. The process then turns into a continual process as the vat is emptied and the melted cheese is then filtered, homogenized, pasteurized and finally spray dried. Between each batch the powder is to a greater or lesser degree a mixture of 2 batches. This paper is divided into 2 aspects, one regarding the optimization of sampling time and the other is a study of process dynamics. Optimizing sampling time This initial study included 9 powder samples from 9 different batches produced during one day. The raw materials for the batches were chosen with the aim of creating a relatively high level of variation in the data. The total of 81 samples were taken out at regular intervals and spectra were collected on a NIR-systems 6500 instrument. The subsequent reduction of the data by PCA to score values shows the power of NIR as a tool to determine not only when samples are representative of a certain batch, but also which batches are stable enough to include in a further study. Studying process dynamics To take this experiment a step further 1 of the 81 samples were sent to the laboratory for further analyses. The samples were chosen on the criteria that they covered the spectral variation in the dataset. These samples were analysed for 4 chemical components and 5 physical attributes, which are essential for describing the quality of the product. The latent structure of the 7 samples, using the chemical and physical variables, is totally comparable to the latent structure of the NIR spectra. This outcome makes it possible to describe the dynamics of one day's production both chemically and physically with relatively little resources. Additionally it raises the question as to whether reference values are needed, as the latent structure of the NIR-spectra appears to be sufficient in providing information on the quality of the product. To be able to use NIR in this way would require defining quality limits in the principal component space as opposed to each of the reference values. The potential of NIR applied in an explorative fashion with batch processes opens a whole new gateway for the use of this technology. This study explains yet again after so many years in the field “why I'm crazy about NIR!”.
The Journal of the Convergence on Culture Technology
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v.1
no.4
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pp.27-43
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2015
The objective of this study is to find out the construct of intellectual capital in a fashion company. To this end, the mixed research methods that combined qualitative and quantitative approaches were conducted. Qualitative research was first conducted by in-depth interviews with 16 experts working in the fashion industry, and a questionnaire was then given to 121 fashion companies in order to fulfill the quantitative research portion of this study. The findings of this study are as follows: First, the conceptual structure of intellectual capital in a fashion company was revealed. A fashion company's intellectual capital is composed of 'human capital', 'structural capital', and 'relational capital'. Human capital has three components: a chief executive officer (CEO), members, and a human resource management capability. Structural capital has four components: organizational culture, information management capability, merchandising capability, and product innovation capability. Relational capital has three components: customer equity, marketing capability, and relationship management capability. Second, the conceptual structure of intellectual capital was confirmed via quantitative research analysis. All of the components of intellectual capital have internal consistency, convergent validity, construct validity, and discriminant validity.
Journal of the Korean Regional Science Association
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v.33
no.1
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pp.17-27
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2017
The purpose of this study is to analyze the determinants of start-ups by industry based on the theoretical background of entrepreneurship. For this purpose, regional industrial structure and local labor market structure are considered in order to focus on regional factors in addition to economic factors, income factors, and technological innovation factors. As an analyzed result, three theories of entrepreneurship generally agree with the determinants of industry - specific entrepreneurship. During the economic recession, the number of start-ups has increased. The intra-regional consumption and the local government expenditure per capita have also positive effects on the start-up. The incubation center has a positive effect on the start - up in the manufacturing sector. Therefore, the academic-industrial leading various incubation facilities should be activated in addition to the central or local government leading incubation centers, which is a part of the policy to support start-ups of central and local governments. In addition, population growth is a very important factor in terms of potential demand creation, and the characteristics of regional industrial structure and the effect of human capital within the region differ by industry. In the case of the manufacturing industry, the accumulation effect positively influences the start-up of the industry. In other service industries, the human capital variable had the greatest effect on the start-up when all other conditions are constant.
Korean Journal of Construction Engineering and Management
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v.22
no.6
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pp.96-106
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2021
The PC structure based on the OSC (Off-Site Construction) is mentioned as a representative method of innovation in the construction industry that converts the existing construction environment from site-centered to factory production-transportation-site assembly. However, recent research on PC method has focused on improving the functions of subsidiary materials and improving the production system to increase productivity and institutional / policy R&D that can be universally applied to the life-cycle stage of ordering / design /construction is insufficient. In particular, the absence of standardized cost calculation standards makes it difficult to calculate and verify of objectified appropriate construction cost. So which is an obstacle to the activation of the PC method. In this study, the standards for construction costs of domestic and foreign PC method were surveyed and similar Construction Standard Production Rates were analyzed to confirm the product structure suitable for PC method. Subsequently, the construction procedures and input resources for each PC subsidiary materials were identified through on-site surveys to derive component for subsidiary materials, and the factors of change in the product according to the construction characteristics(height, weight of subsidiary material) were verified. As a result the standard product calculation system suitable for the site installation of the PC method for apartment was presented.
Chen, Feiyan;Chen, Lin;Liang, Weifeng;Zhang, Zhengguang;Li, Jiao;Zheng, Wan;Zhu, Zhu;Zhu, Jiapeng;Zhao, Yunan
Journal of Ginseng Research
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v.45
no.4
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pp.465-472
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2021
Background: Ginseng can help regulate brain excitability, promote learning and memory, and resist cerebral ischemia in the central nervous system. Ginsenosides are the major effective compounds of Ginseng, but their protein targets in the brain have not been determined. Methods: We screened proteins that interact with the main components of ginseng (ginsenosides) by affinity chromatography and identified the 14-3-3 ζ protein as a potential target of ginsenosides in brain tissues. Results: Biolayer interferometry (BLI) analysis showed that 20(S)-protopanaxadiol (PPD), a ginseng saponin metabolite, exhibited the highest direct interaction to the 14-3-3 ζ protein. Subsequently, BLI kinetics analysis and isothermal titration calorimetry (ITC) assay showed that PPD specifically bound to the 14-3-3 ζ protein. The cocrystal structure of the 14-3-3 ζ protein-PPD complex showed that the main interactions occurred between the residues R56, R127, and Y128 of the 14-3-3 ζ protein and a portion of PPD. Moreover, mutating any of the above residues resulted in a significant decrease of affinity between PPD and the 14-3-3 ζ protein. Conclusion: Our results indicate the 14-3-3 ζ protein is the target of PPD, a ginsenoside metabolite. Crystallographic and mutagenesis studies suggest a direct interaction between PPD and the 14-3-3 ζ protein. This finding can help in the development of small-molecular compounds that bind to the 14-3-3 ζ protein on the basis of the structure of dammarane-type triterpenoid.
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