• Journal of Magnetics
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• v.4 no.3
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• pp.76-79
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• 1999

We report results on metastable CuCo ribbons at low Co contents (2 and 10 at %), which were prepared by conventional melt-spinning technique and subsequent annealing. The properties of these materials cannot consistently be described by those of an assembly of superparamagnetic single-domain particles. Magnetic measurements related to magnetic dynamics reveal spin-glass-like properties. Especially, we find very slow nonequilibrium relaxation processes in Co10Cu90, which depend on prehistory, when probing the relaxation of the resistivity. The results are clear evidence for frustrated interaction effects due to magnetic couplings between Co clusters or precipitates in these alloys.

• BMB Reports
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• v.47 no.9
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• pp.500-505
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• 2014

Colorectal cancer has become the third most common cancer and leads to high mortality worldwide. Although colorectal cancer has been studied widely, the underlying molecular mechanism remains unclear. PER3 is related to tumor differentiation and the progression of colorectal cancer. High expression of miR-103 is associated with poor prognosis in patients with colorectal cancer. However, the relationship between miR-103 and PER3 in CRC cells remains unclear. In this study, we found that PER3 was downregulated in CRC tissues and CRC cell lines, whereas miR-103 was upregulated in CRC cell lines. We also found that PER3 promoted CRC cells apoptosis. These results indicate that PER3 plays a suppressive role in CRC cells. Moreover, we found that PER3 was targeted, at least partially, by miR-103. Taken together, we provide evidence to characterize the role of PER3 in CRC, which may be a new therapeutic target for CRC.

• The Korean Journal of Mycology
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• v.37 no.1
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• pp.19-27
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• 2009

This study was conducted to investigate genetic characteristics of 25 Pleurotus eringii strains that have been released in Korea based on cultural, morphological features and PCR fingerprints. Strains PER-007 and PER-012 showed distinct cultural characteristics in growth rate, morphological characteristics of mycelial colony and fruiting bodies when compared to those of other strains. Strain PER-007 did not form primordium initiation in sawdust medium and PER-012 also showed different phenotypes on fruiting bodies. Eleven URP primers were used to detect PCR polymophic bands in P. eringii strains. Primers URP1F, URP2R, URP2F, URP4R, URP6R, URP9F and URP17R were selected as useful primers for amplifying PCR polymorphic bands in P. eringii strains. The genetic similarity index was calculated by using PCR polymorphic bands amplified by eight URP primers among the 25 strains. The P. eringii strains were grouped by four distinct clusters on the UPGMA analysis. The genetic similarity values ranged from 100% to 76% were observed in three major groups, suggesting close genetic relatedness of them. Exceptionally, PER-007 and PER-017 were involved in outgroup.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.12
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• pp.1717-1725
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• 2000

The objective was to determine the relationship between feed intake levels and patterns, and growth performance and body composition of barrows and gilts using automatic feed intake recording equipment (F.I.R.E.). This system records the time of visits to the feeder and the duration and size of meals for individual animals housed in groups. Ninety-six crossbred pigs were grown from $33.4{\pm}0.51$ to $109.7{\pm}1.39kg$ live weight over a 13-week period. Eight mixed-sex groups of 12 pigs were used and 4 dietary treatments were compared giving 2 pens per treatment. The dietary treatments consisted of corn-soybean meal diets with differing protein levels which ranged from 14.7% to 19% between 30 to 55 kg, from 13.3% to 16.9% between 56 and 85 kg, and from 12.3% to 16.8% for the remainder of the study. Animals were ultrasonically scanned to measure loin-eye area and backfat thickness to estimate carcass fat-free lean content at the beginning and end of the study. Barrows had higher daily feed intake than gilts (2.67 vs. 2.46 kg resp. p<0.05) which was the result of a longer feeder occupation time per visit (4.77 vs. 4.54 min, resp. p<0.05), higher feed consumption rates (30.4 vs. 29.0 g/min, resp. p<0.05), and higher feed intakes per visit (136.9 vs. 126.8 g, resp. p<0.01). Gilts had less backfat and greater loin-eye area than barrows (p<0.05). Diet had no significant effect on growth performance and had limited impact on feeding patterns. Body weight showed high correlations with ADG (r=0.74), feed intake per visit (r=0.51) and feed consumption rate (r=0.69). Positive correlation were also found between daily feed intake and feed intake per visit (r=0.45), feeder occupation time per day (r=0.56), and feed consumption rate (r=0.55), and between daily feed intake and backfat thickness (r=0.32) and feed consumption rate and loin-eye area (r=0.32). There were negative correlations between number of feeder visit per day and daily feed intake (r=-0.54), and between feed intake per visit and number of feeder visits per day (r=-0.43). However, correlations between feed intake traits and carcass traits were generally low. Visits to the feeder were greatest during the morning (0700 to 1100 h) and lowest during the evening and nighttime. These results highlight limited variation among the sexes in feeding patterns and suggest important relationships between feeding behavior and feed intake.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.1
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• pp.51-68
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• 2001

The purpose of this study was to explain the relationship between smoking status, smoking behavior and hardiness in university students in Gangnung City. The subjects were a convenience sample of 315 students. The data were collected by a questionnaire given to the students between May 22 to June 2, 2000. An instrument developed by Akers & Gang(1996) and translated by Sohn, Jung-Nam(1999) was used in this study to measure definition of smoking, differential reinforcement of smoking and smoking behavior. The differential peer association scale developed Krohn et al.(1982) and translated by Sohn, Jung-Nam(1999), and the hardiness scale developed by Pollock(1984) and translated by Suh, Mun-Sa(1988) were also used. The data were analyzed using the SAS/PC+ Program and included descriptive statistics, t-test, ANOVA, and Spearman correlation coefficients. The results of this study are as follows : 1. The smoking rate for university students was 50.5% of which 44.7% started smoking in high school. 2. The mean score for level of hardiness was $3.14{\pm}0.43$ 3. The mean score for smoking behavior was as follows : 1) The mean score for the neutralizing definition was $2.16{\pm}0.57$ 2) The mean score for the negative definition was $2.37{\pm}0.71$ 3) The mean score for the positive differential reinforcement was $1.89{\pm}0.63$ 4) The mean score for the negative differential reinforcement was $2.96{\pm}0.64$ 5) The mean score for the differential peer association was $2.67{\pm}1.05$ 4. The data showed positive correlations between hardiness and the neutralizing definition(r=.1951, P<.001), between hardiness and the positive differential reinforcement(r=.1128, P<.05), between hardiness and the amount of smoking per day(r=.1452, P<.05) between the neutralizing definition and positive differential reinforcement(r=.4212, P<.0001), between the neutralizing definition and differential peer association(r=.1856, P<.001), between the neutralizing definition and age at smoking initiation(r=.1582, P<.05), between the negative definition and negative differential reinforcement(r=.2985, P<.0001), between the positive differential reinforcement and differential peer association(r=.3451, P<.0001), between positive differential reinforcement and the amount of smoking per day(r=.4431, P<.0001), between differential peer association and the duration of smoking(r=.2789, P<.0001), between differential peer association and the amount of smoking per day(r=.5410, P<.0001), between the duration of smoking and the amount of smoking per day(r=.4245, P<.0001). The data showed negative correlations between the neutralizing definition and the negative definition(r=-.2065, P<.001) between the neutralizing definition and negative differential reinforcement(r=-.3943, P<.0001) between the neutralizing definition and duration of smoking(r=-.1957, P<.05), between the negative definition and positive differential reinforcement(r=-.2093, P<.001), between the negative definition and the amount of smoking per day(r=-.2282, P<.001), between positive differential reinforcement and negative differential reinforcement(r=-.5555, P<.0001) between negative differential reinforcement and differential peer association(r=-.3653, P<.0001), between negative differential reinforcement and the amount of smoking per day(r=-.4570, P<.0001), between the age at smoking initiation and the duration of smoking(r=-.4594, P<.0001).

• The Journal of Natural Sciences
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• v.18 no.1
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• pp.47-53
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• 2007

In order to find novel sRNA in Bacillus subtilis which would be used to adapt to several conditions, we searched the whole genome of Bacillus subtilis using the following procedure. At first, the locations of recognition sequence of transcription factors such as PerR, OhrR, Fur and Zur were searched in the intergenic region of Bacillus subtilis genome and the locations of rho independent transcription terminator sites were also determined. Based on the information of these locations, the sRNA candidates were chosen by close locations (less than 300 bp) between the recognition site of transcription factors and rho independent transcription terminator site. Than transcription promoter sites were searched in the region of previously identified sRNA candidates and 5 PerR, 1 OhrR, 1 Fur and 1 Zur regulated good sRNA candidates were found.

• Environmental and Resource Economics Review
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• v.25 no.1
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• pp.89-112
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• 2016

In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

• IE interfaces
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• v.5 no.1
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• pp.61-74
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• 1992

Recognizing the lack of empirical studies on the returns to R & D investment in Korean firms, this paper analyzes the relationships between R & D investment and corporate performances measured by sales growth rate, profit rate and PER. The data used here are from 167 firms in 8 different industries covering the period from 1985 to 1989. The results show that the profit rate is strongly correlated with R & D investment. But unlike the results of most studies previously done in the U.S., R & D investment only weakly and insignificantly correlated with sales growth and PER.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.14
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• pp.41-45
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• 1973

This study was carried out in the central part of Korea in 1972 to investigate optimum grain number per square meter and variation of the yield and its components in the direct sowing culture on irrigated paddy field. The results could be summarized as follows; 1. Number of maximum tillerings was directly increased with increase of grain number from 120 to 280 per square meter and it was gradually decreased with increase of number sowing grain. So number of maximum tillerings showed at the plot of 280 grain per square meter. Also it was showed remarkable competition at the plot more than 280 grain per square meter. 2. Percentage of effective tiller was decreased with increase of number of sowing grain from 120 to 280 per square meter and after it was gradually decreased with increase of number of sowing grain. 3. It was not remarkable competition in plot less than 1, 000 tillering per square meter on the number of maximum tillerings. 4. It was remarkable positive correlation between the number of panicle and the number of sowing grain, but it was tendency to negative correlation between the number of panicle and the number of spiklets per panicle, and between the number of panicle and the ripening ratio. 5. Correlation coefficient between the yield and the number of spiklet per square meter of land area was 0.929, r=0.695 in the yield and the number of panicle, r=0.796 in the number of panicles and the number of spiklets per square meter Also in rank correlation, it was showed most highly positive correlation(r=0.954) between the yield and the number of panicles, so number of panicles was most largely dominated on yield among the yield components in direct sowing culture on irrigated paddy field. 6. It was producted highest yield in the plot of 280 grain sowing per square meter.

• Bulletin of the Korean Chemical Society
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• v.31 no.6
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• pp.1573-1576
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• 2010

Bacillus subtilis PerR is a metal-dependent peroxide-sensing transcription factor which uses metal-catalyzed histidine oxidation for peroxide-sensing. PerR contains two metal binding sites, one for structural $Zn^{2+}$ and the other for the regulatory/peroxide-sensing metal. Here we investigated the effect of mutations at both the structural and regulatory metal binding sites on the oxidation of either H37 or H91, two of the peroxide-sensing ligands. All four serine substitution mutants at the structural $Zn^{2+}$ site (C96S, C99S, C136S and C139S) exhibited no detectable oxidation at histidine residues. Two of the alanine substitution mutants at regulatory metal site (H37A and D85A) exhibited selective oxidation preferentially at the H91-containing tryptic peptide, whereas no oxidation was detected in the other mutants (H91A, H93A and D104A). Our results suggest that the cysteine residues coordinating structural $Zn^{2+}$ are essential for peroxide sensing by PerR, and that the C-terminal regulatory metal binding site composed of H91, H93 and D104 can bind $Fe^{2+}$, providing a possible explanation for the peroxide sensing mechanisms by PerR.