• The Journal of Information Systems
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• v.29 no.4
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• pp.45-56
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• 2020

Purpose The purpose of this study is to present the direction of efficient e-learning education through the importance and satisfaction survey of learners of non-face-to-face video lectures. Therefore, by grasping the degree of satisfaction of the importance ratio through the IPA analysis method, we try to present improvement measures for insufficient education methods. Design/methodology/approach For IPA analysis, we conducted an online survey of four universities and analyzed 154 samples. The analysis method used SPSS, and through the wordcloud analysis method of R, the suggestions for the non-face-to-face lecture method felt by learners were analyzed to derive implications for improving the quality of education. Findings As a result of the overall satisfaction survey for the entire non-face-to-face class, the factors with the greatest dissatisfaction are listed as follows. Complaints about the adequacy of learning materials and activities (quiz, discussion, assignments, etc.), Complaints about how to use the produced content, and complaints about announcements about class management (lecture schedule, lecture method) were identified in order. The factors of dissatisfaction were clear in the non-face-to-face class where interactive communication was impossible or insufficient. In addition to the lack of quick Q&A, there seems to have been a phenomenon of some neglect.

• Smart Structures and Systems
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• v.30 no.2
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• pp.173-181
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• 2022

The current paper presents a technique to detect crack in non-uniform cantilever-type pipe beams, that have step changes in the properties of their cross sections, restrained by a translational and rotational spring with a tip mass at the free end. An equation for estimating the natural frequencies for the non-uniform beams is derived using the boundary and continuity conditions, and an equivalent bending stiffness for cracked beam is applied to calculate the natural frequencies of the cracked beam. An experimental study for a step-changed non-uniform cantilever-type pipe beam restrained by bolts with a tip mass is carried out to verify the proposed method. The translational and rotational spring constants are updated using the neural network technique to the results of the experiment for intact case in order to establish a baseline model for the subsequent crack detection. Then, several numerical simulations for the specimen are carried out using the derived equation for estimating the natural frequencies of the cracked beam to construct a set of training patterns of a neural network. The crack locations and sizes are identified using the trained neural network for the 5 damage cases. It is found that the crack locations and sizes are reasonably well estimated from a practical point of view. And it is considered that the usefulness of the proposed method for structural health monitoring of the step-changed non-uniform cantilever-type pipe beam-like structures elastically restrained in the ground and have a tip mass at the free end could be verified.

• Computers and Concrete
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• v.32 no.1
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• pp.1-13
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• 2023

This paper discusses a framework for predicting the flexural strength of prestressed and non-prestressed FRP reinforced T-shaped concrete beams using soft computing techniques. An analysis of 83 tests performed on T-beams of varying widths has been conducted for this purpose with different widths of compressive face, beam depth, compressive strength of concrete, area of prestressed and non-prestressed FRP bars, elasticity modulus of prestressed and non-prestressed FRP bars, and the ultimate tensile strength of prestressed and non-prestressed FRP bars. By analyzing the data using two soft computing techniques, named artificial neural networks (ANN) and gene expression programming (GEP), the fundamental parameters affecting the flexural performance of prestressed and non-prestressed FRP reinforced T-shaped beams were identified. The results showed that although the proposed ANN model outperformed the GEP model with higher values of R and lower error values, the closed-form equation of the GEP model can provide a simple way to predict the effect of input parameters on flexural strength as the output. The sensitivity analysis results revealed the most influential input parameters in ANN and GEP models are respectively the beam depth and elasticity modulus of FRP bars.

• Journal of Korean Clinical Health Science
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• v.11 no.1
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• pp.1607-1615
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• 2023

purpose: In addition to evaluating the quality of sleep of college students, the effect on non-face-to-face online learning satisfaction is identified and used as basic data for improving the quality of remote lectures. Methods: From June 1 to June 24, 2022, a self-entry survey was conducted on students enrolled in the dental hygiene department of D University in Daegu. To evaluate the non-face-to-face online learning satisfaction and sleep quality of the study subjects using the lBM SPSS Statistics 21 program, ANOVA analysis was conducted on the difference between individual stress levels and non-face-to-face online learning satisfaction. The correlation between sleep quality, stress, and non-face-to-face online learning satisfaction was analyzed using Pearson's correlation coefficient. Results: The lower the quality of sleep, the higher the stress, resulting in statistically significant results (p<0.001). The higher the quality of sleep, the higher the learning satisfaction, resulting in statistically significant results (p<0.001). There was a statistically significant positive correlation between learning satisfaction and stress (r=0.591, p<0.01). Conciussions: Through the above results, in order to improve the satisfaction of non-face-to-face online learning, it is necessary to manage the individual's learning environment and health to relieve stress. Instructors also need to communicate with learners and apply teaching methods considering learners' academic abilities.

• Korean Journal of Occupational Health Nursing
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• v.33 no.1
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• pp.1-11
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• 2024

Purpose: This study aimed to analyze the factors influencing the well-being of middle-aged non-shift female workers using health-determinant models. Methods: This study analyzed data from the fifth Korean Working Conditions Survey (KWCS), involving 5,449 participants. A hierarchical multiple regression analysis was employed to examine the relationships between various factors and well-being. Results: The analysis identified key factors affecting well-being in middle-aged female non-shift workers, including supervisor support, presenteeism, satisfaction with the working environment, autonomy in working hours, support from coworkers, workplace discrimination, occupation, work-life balance, sleep problems, workplace size, weekly work hours, and sickness absence. This study confirms that the well-being of middle-aged non-shift female workers is influenced by factors at the individual, social, and community levels as well as by conditions related to love. Conclusion: To enhance the well-being of middle-aged female non-shift workers, it is essential to reinforce positive factors such as support from coworkers and superiors. Additionally, addressing and mitigating negatively influencing factors such as workplace discrimination and sleep problems is crucial in promoting well-being. By implementing measures to improve these aspects, organizations and policymakers can contribute to a healthier and more supportive work environment for middle-aged, non-shift female workers.

• Asia-Pacific Journal of Business
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• v.12 no.2
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• pp.187-203
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• 2021

Purpose - The purpose of this study is to analyze the effects of non-tariff barriers on the Free Trade Agreement. Currently, it has achieved significant export effects by signing free trade agreements with many countries in Korea. However, most countries have implemented non-tariff barriers to protect their industries. This study analyzes the effects of non-tariff barriers in counterpart countries that have signed a free trade agreement. Design/methodology/approach - For analysis, first, prior studies were summarized, and second, the current status of free trade agreements and non-tariff barriers were identified. And, based on the current situation, the relationship between non-tariff barriers and export volume was analyzed. The targets of analysis are the United States, China, and Vietnam, which are Korea's three largest exporters. As for non-tariff barriers, anti-dumping tariffs, countervailing tariffs, and emergency import restrictions were analyzed as import regulatory measures. Findings - In the case of the United States, it can be seen that the decline in textiles, steel and electronics sectors is even greater. In the case of China, it can be seen that exports declined after imposing non-tariff barriers in the steel sector. Finally, it can be seen that exports declined after Vietnam implemented a non-tariff barrier on the steel sector. It was found that non-tariff barriers offset the effects of the Free Trade Agreement. Research implications or Originality - Currently, Korea has free trade agreements with numerous countries. However, after the free trade agreement entered into force, the number of annual average import regulation investigations for Korean products is on the rise. In the end, the implementation of non-tariff barriers is offsetting the effects of free trade agreements. Therefore, when signing a free trade agreement, it is necessary to thoroughly prepare for import regulatory measures such as the insertion of provisions of non-tariff barriers.

• Journal of Food Hygiene and Safety
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• v.33 no.6
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• pp.510-515
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• 2018

In the present study, we investigated the anti-oxidant activities of selenium-treated Spinacia oleracea L. by utilizing experiments in vitro assays. The selenium content of non-treated spinach in this study was noted at $61.19{\mu}g/kg$, whereby the selenium-treated spinach which was treated by a 2000 mg/kg selenium was 1000-fold diluted, and was reported to be about 4 times higher than that of non-treated spinach. In this case, the 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity in the concentration of selenium-treated spinach, 0.1~1.0 mg/mL was measured as stronger than that of the identified non-treated spinach. By the same token, the DPPH radical activity of non-treated spinach and selenium-treated spinach was recorded as 46.05~52.75% and 49.52~59.09% respectively. It is emphasized that the 2,2'-azino-di-2-ethyl-benzthiazoline-sulphonate (ABTS) radical scavenging activity as revealed in the concentration of selenium-treated spinach, 0.1~1.0 mg/mL was noted as being stronger than that of non-treated spinach. The ABTS radical activity of non-treated spinach and selenium-treated spinach was 11.85~52.01% and 27.14~53.59% respectively. In this respect, the nitric oxide (NO) radical scavenging activity and reducing power activity in the concentration of selenium-treated spinach, 0.1~1.0 mg/mL was identified and noted as stronger than that of non-treated spinach. These results suggest that selenium-treated spinach could possibly be more useful as a potential antioxidant to improve human health outcomes, than the non-treated spinach.

• Journal of Microbiology and Biotechnology
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• v.16 no.4
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• pp.623-632
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• 2006

To find potential targets of novel antimicrobial agents, we identified essential genes of Staphylococcus aureus N315 by using comparative genomics and allele replacement mutagenesis. By comparing the genome of S. aureus N315 with those of Bacillus subtilis, Enterococcus faecalis, Escherichia coli, Pseudomonas aeruginosa, and Streptococcus pneumoniae, a total of 481 candidate target genes with similar amino acid sequences with at least three other species by >40% sequence identity were selected. of 481 disrupted candidate genes, 122 genes were identified as essential genes for growth of S. aureus N315. Of these, 51 essential genes were those not identified in any bacterial species, and 24 genes encode proteins of unknown function. Seventeen genes were determined as non-essential although they were identified as essential genes in other strain of S. aureus and other species. We found no significant difference among essential genes between Streptococcus pneumoniae and S. aureus with regard to cellular function.

• Journal of Photoscience
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• v.9 no.2
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• pp.269-271
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• 2002

To investigate the visual and extra-ocular photoreception, we cloned the opsin genes in ayu (Plecoglossus allivelis). Amplified fragments encoding exon-4 (-5) of opsin cDNAs were cloned from the retina and brains of ayu, and sequenced. One clone was identified as rod (AYU-Rh), two as green cone (AYU-GI, -G2), one as red cone (A YU-R), two as ultraviolet cone (AYU-UVl, UV2), one as VA (AYU-VA), and one as extra-ocular rod (AYU-ExoRh) opsins. 335 amino acids sequence deduced from the full-length cDNA of AYU-Rh showed high identity with that of other fish. Southern blotting analysis indicated that ayu possess two 'rhodopsin' genes, one is visual rhodopsin and the other is non-visual extra-ocular rhodopsin. In situ hybridization showed that the mRNA of AYU-Rh was localized only in rod cells in the retina. On the other hands, AYU-ExoRh was expressed only in the pineal. We cloned two isoforms (AYU-VAM and -VAL) of VA opsin from ayu. The deduced amino acid sequences of these variants were identical to each other within the first 342 residues, but they showed divergence in the C-terminal sequence. AYU- VAL corresponded to the long isoform found in other fish, and AYU-VAM was identified as a new type of VA opsin variant. Pal-VAM is a new probably functional non-visual photoreceptive molecule in fish.

• KSBB Journal
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• v.23 no.5
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• pp.398-402
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• 2008

Cyanobacteria havebeen identified as one of the most promising group producing novel biochemically active natural products. Cyanobacteria are a very old group of prokaryotic organisms that produce very diverse secondary metabolites, especially non-ribosomal peptide and polyketide structures. Though many useful natural products have been identified in cyanobacterial biomass, cyanobacteria produce also extracellular proteins related with NRPS/PKS. Detection of unknown secondary metabolites in medium was carried in the present study by a screening of 98 cyanobacterial strains. A degenerated PCR technique as molecular approaches was used for general screening of NRPS/PKS gene in cyanobacteria. A putative PKS gene was detected by DKF/DKR primer in 38 strains (38.8%) and PCR amplicons resulted from a presence of NRPS gene were showed by MTF2/MTR2 primer in 30 strains (30.6%) and by A3/A7 primer in 26 strains (26.5%). HPLC analysis for a detection of natural products was performed in extracts from medium in which cyanobacteria containing putative PKS or NRPS were cultivated. CBT57, CBT62, CBT590 and CBT632 strains were screened for a production of extracellular natural products. 5 pure substances were detected from medium of these cyanobacteria.