• Title/Summary/Keyword: factors affecting migration

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Characteristics of Urban households that want to move to rural area after retirement. (은퇴 후 귀촌 희망 가구의 사회경제적 특성 및 지역 간 차이 분석)

  • Noh, Seung Chul
    • Journal of the Korean Regional Science Association
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    • v.31 no.2
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    • pp.29-45
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    • 2015
  • Urban household's interest in moving to rural area after retirement have been increasing. Most of them live in rural areal for the sake of pleasant natural environment such as fresh air, clean water. The purpose of the study is to analyse characteristics of them and factors affecting their decision. In 2010, about 27% of urban households wish to migrate to rural area after retirement. The results from the random intercept binary logit model implies that 40~50 age, less high-school graduate and middle-income households are more likely to move. And households are more concerned with residential environment-noise, air, water- than house condition. Also, more people have moved to rural in the region. more households wish to move. It implies that information about urban-to-rural migration and life in rural area affect people's positive attitude to move to rural after their retirement.

Toward Post-Pandemic Sustainable FDI Workforce: An Examination of Factors Affecting the Well-Being of Migrant Workers in Ho Chi Minh City

  • Pham Thanh Thoi;Tran Dinh Lam;Nguyen Hong Truc
    • SUVANNABHUMI
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    • v.16 no.1
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    • pp.303-343
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    • 2024
  • Globalization and the flow of foreign direct investment (FDI) in the post-pandemic context continue to play a critical role in shaping the workforce of emerging countries. In Vietnam, evidence obtained during the pandemic revealed that the well-being of employees, especially migrant workers, was extremely poor due to both work and non-work factors. This paper examines the most significant factors that impact the well-being of workers employed by various FDI companies in two Vietnamese industrial parks. The survey evidence (n=200) shows that worker well-being is influenced by seven key factors categorized in three dimensions, namely material stressors, social stressors, and human stressors. A further qualitative analysis of 60 participants provides an understanding of the ways in which each factor affects workers' well-being and how elements of well-being in the Vietnamese context are different compared with other countries. Low salaries, lack of social support, work-life imbalance due to job demands, and the interplay between these three determinants significantly affect the overall well-being of workers. In the current business climate, it is important to have well-targeted policies that encourage high-tech investments as well as persuade domestic firms to address low salaries and economic migration. To manage valuable human resources and keep competitive advantages, foreign firms need to authentically implement corporate social responsibility (CSR) initiatives focusing on workers' benefits, especially providing workforce housing. This will bring about win-win outcomes of improved employee well-being and business sustainability.

Influence of counter anions on metal separation and water transport in electrodialysis treating plating wastewater

  • Oh, Eunjoo;Kim, Joohyeong;Ryu, Jun Hee;Min, Kyung Jin;Shin, Hyun-Gon;Park, Ki Young
    • Membrane and Water Treatment
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    • v.11 no.3
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    • pp.201-206
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    • 2020
  • Electrodialysis (ED) is used in wastewater treatment, during the processing and recovery of beneficial materials, to produce usable water. In this study, sulfate and chlorine ions, which are the anions majorly used for electroplating, were studied as factors affecting the recovery of copper, nickel and water from wastewater by electrodialysis. Although the removal rates of copper and nickel ions were slightly higher with the use of chlorine ions than of sulfate ions, the removal efficiencies were above 99.9% under all experimental conditions. The metal ions of the plating wastewater flowed through the ion exchange membrane of the diluate tank and the concentrate tank while all the water moved together due to electro-osmosis. The migration of water from the diluate tank to the concentrate tank was higher in the presence of a monovalent chloride ion compared to that of a divalent sulfate ion. When sulfate was the anion used, the recoveries of copper and nickel increased by about 25% and 30%, respectively, as compared to the chloride ion. Therefore, when divalent ions such as sulfate are present in the electrodialysis, it is possible to reduce the movement amount of water and highly concentrate the copper and nickel in the plating wastewater.

Determination of Water-Soluble Vitamins by Free Solution Capillary Electrophoresis (모세관전기영동을 이용한 수용성비타민의 분석)

  • Choi, One-Kyun;Jo, Jae-Sun
    • Korean Journal of Food Science and Technology
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    • v.26 no.1
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    • pp.18-22
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    • 1994
  • This study was designed to investigate the method of the simultaneous determination of water-soluble vitamins (thiamine, ascorbic acid, riboflavin, folic acid, cyanocobalamine, pyridoxin, nicotinic acid) by free soloution capillary electrophoresis. Factors affecting on the separation were pH of the buffer, applied voltage and temperature. On-column detection at 254 nm allowed accurate and reproducible determination of these compounds. All these compounds were separated within ca. 8 min with fused silica capillary at 20 kV.

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A NUMERICAL STUDY ON THE FLOW CHARACTERISTICS OF GAS CHROMATOGRAPHIC COLUMN (가스 크로마토그래픽 컬럼의 유동특성에 대한 수치적 연구)

  • Kim T.-A.;Kim Youn J.
    • 한국전산유체공학회:학술대회논문집
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    • 2005.10a
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    • pp.21-26
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    • 2005
  • Gas Chromatography (GC) is a wisely technique used for the separation and analysis of liquid and gas sample. Separation of the sample vapors is achieved via their differential migration through a capillary column with an insert carrier gas. The identity and quantity of each vapor in the mixer can be determined from its retention time in the column and a particular property of the gas, such as thermal conductivity, which can be related to the concentration of sample vapor in the carrier gas. Therefore, the flow characteristics in the spiral gas chromatographic column are numerically investigated in this study. Especially, different pressure drop between the front and the rear of GC column with various flow rates is estimated the governing equations are derived from making using of three-dimensional Naver-Stokes equation with incompressible and laminar model due to the nature of low Reynolds number flow. Using a commercial code, FLUENT, the pressure and flow fields in GC column are calculated with various flow rates. The characteristics of thermal cycling which is one of the most important factors affecting the column efficiency and analysis time is also estimated. Furthermore, numerical analyses are also carried out by using commercial code, ANSYS, with various values of power, which is applied to the heating element located at lower GC column.

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Expression of HSP70 mRNA and Protein based on the Thermal Stress in the Primary Hepatocyte Culture of Walleye Pollock (Gadus chalcogrammus) (명태(Gadus chalcogrammus)의 일차 간세포 배양에서 온도 스트레스에 따른 HSP70 mRNA와 단백질 발현)

  • Kim, So-Sun;Lee, Chang-Ju;Park, Jang-Su
    • Journal of Environmental Science International
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    • v.29 no.6
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    • pp.633-641
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    • 2020
  • Water temperature is one of the most important factors of fish survival, affecting the habitat, migration route, development, and reproduction. This experiment studied the induction level of heat shock protein (HSP70) mRNA and protein in a walleye pollock (Gadus chalcogrammus) primary hepatocyte culture based on different temperatures. Hepatocytes were attached at 7.5℃ for 24 hours. Hsp70 induction levels were then measured for 48 hours at 5, 8, 11, 14, and 17℃. The induction level was lowest at 5℃ and generally increased with temperature until 14℃. The induction level was reduced at 17℃, indicating that 14℃ is the highest tolerable temperature for hepatocytes. These data indicate that primary hepatocyte cell culture is under no stress at 5 and 8℃. Temperatures greater than 11℃ induce stress, showing similar induction patterns in both mRNA and protein in hepatocytes. The results suggest that 14℃ is the maximum internal defense temperature of walleye pollock survival.

Evaluation of Fiber and Blast Furnace Slag Concrete Chloride Penetration through Computer Simulation

  • Kim, Dong-Hun;Petia, Staneva;Lim, Nam-Gi
    • Journal of the Korea Institute of Building Construction
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    • v.11 no.4
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    • pp.379-386
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    • 2011
  • Durability of concrete is an important issue, and one of the most critical aspects affecting durability is chloride diffusivity. Factors such as water.cement ratio, degree of hydration, volume of the aggregates and their particle size distribution have a significant effect on chloride diffusivity in concrete. The use of polypropylene fibers(particularly very fine and well dispersed micro fibers) or mineral additives has been shown to cause a reduction in concrete's permeability. The main objective of this study is to evaluate the manner in which the inclusion of fiber(in terms of volume and size) and blast furnace slag(BFS) (in terms of volume replacement of cement) influence the chloride diffusivity in concrete by applying 3D computer modeling for the composite structure and performing a simulation of the chloride penetration. The modeled parameters, i.e. chloride diffusivity in concrete, are compared to the experimental data obtained in a parallel chloride migration test experiment with the same concrete mixtures. A good agreement of the same order is found between multi.scale microstructure model, and through this chloride diffusivity in concrete was predicted with results similar to those experimentally measured.

Determination of Recombinant Human Epidermal Growth factor (rhEGF) in a Pharmaceutical Preparation by Capillary Electrophoresis

  • Hwang, Kyung-Hwa;Lee, Kang-Woo;Kim, Chang-Soo;Han, Kun;Chung, Youn-Bok;Moon, Dong-Cheul
    • Archives of Pharmacal Research
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    • v.24 no.6
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    • pp.601-606
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    • 2001
  • A simple assay method of recombinant human epidermal growth factor (rhEGF) in a pharmaceutical preparation was studied and validated by capillary electrophoresis (CE) using micellar electrokinetic chromatography (MEKC) techniques. Factors affecting the migration behavior and separation performances of the peptide; type of buffers pH, butler concentration, and concentration of sodium dodecyl sulfates (SDS) were investigated to optimize the analytical performance. CE was performed using running buffers 50.0 mM borate (pH 8.5) containing 12.5 mM SDS at 20 $mutextrm{V}$ of the applied voltage. Calibration curves for the rhEGF showed good linearity (r>0.999) over the wide dynamic range from 1.25 to $100{\mu\textrm{g}}/ml$. Sample analysis was performed by using standard addition method to eliminate the matrix effects of dosage vehicle. This method is assumed to be useful for quality control (QC) of various forms of pharmaceutical products of the peptide.

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Machine learning in concrete's strength prediction

  • Al-Gburi, Saddam N.A.;Akpinar, Pinar;Helwan, Abdulkader
    • Computers and Concrete
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    • v.29 no.6
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    • pp.433-444
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    • 2022
  • Concrete's compressive strength is widely studied in order to understand many qualities and the grade of the concrete mixture. Conventional civil engineering tests involve time and resources consuming laboratory operations which results in the deterioration of concrete samples. Proposing efficient non-destructive models for the prediction of concrete compressive strength will certainly yield advancements in concrete studies. In this study, the efficiency of using radial basis function neural network (RBFNN) which is not common in this field, is studied for the concrete compressive strength prediction. Complementary studies with back propagation neural network (BPNN), which is commonly used in this field, have also been carried out in order to verify the efficiency of RBFNN for compressive strength prediction. A total of 13 input parameters, including novel ones such as cement's and fly ash's compositional information, have been employed in the prediction models with RBFNN and BPNN since all these parameters are known to influence concrete strength. Three different train: test ratios were tested with both models, while different hidden neurons, epochs, and spread values were introduced to determine the optimum parameters for yielding the best prediction results. Prediction results obtained by RBFNN are observed to yield satisfactory high correlation coefficients and satisfactory low mean square error values when compared to the results in the previous studies, indicating the efficiency of the proposed model.

Influencing Factors on Freezing Characteristics of Frost Susceptible Soil Based on Sensitivity Analysis (민감도 분석을 기반으로 한 시료의 동결 특성에 미치는 영향인자 분석)

  • Go, Gyu-Hyun;Lee, Jangguen;Kim, Minseop
    • Journal of the Korean Geotechnical Society
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    • v.36 no.8
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    • pp.49-60
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    • 2020
  • A fully coupled thermo-hydro-mechanical model is established to evaluate frost heave behaviour of saturated frost-susceptible soils. The method is based on mass conservation, energy conservation, and force equilibrium equations, which are fully coupled with each other. These equations consider various physical phenomena during one-dimensional soil freezing such as latent heat of phase change, thermal conductivity changes, pore water migration, and the accompanying mechanical deformation. Using the thermo-hydro-mechanical model, a sensitivity analysis study is conducted to examine the effects of the geotechnical parameters and external conditions on the amount of frost heave and frost heaving rate. According to the results of the sensitivity analysis, initial void ratio significantly affects each objective as an individual parameter, whereas soil particle thermal conductivity and temperature gradient affect frost heave behaviour to a greater degree when applied simultaneously. The factors considered in this study are the main factors affecting the frost heaving amount and rate, which may be used to determine the frostbite sensitivity of a new sample.