SMEs as an organization to succeed and to be sustainable must have the most essential and strategic capital, namely creativity, competitive advantage, and intellectual capital. This study aims to explore how creativity and intellectual capital determines SMEs’ sustainability as well as examine the emerging role of competitive advantage in supporting this relationship. A quantitative method was applied to gain a better understanding of the relationship between variables undergoing Structural Equation Modeling with Partial Least Square (SEM-PLS). This study collected data from 123 SMEs in East Java of Indonesia using an online survey. The approach adopted in this study is a convenience random sampling method, which is widely used in entrepreneurship and SMEs’ sustainability research. The findings showed that intellectual capital positively affects both competitive advantage and SMEs’ sustainability. Additionally, the result of this study confirms a robust relationship between intellectual capital and SMEs’ sustainability. However, partially, creativity failed in explaining SMEs’ sustainability. Furthermore, this study confirmed that competitive advantage has successfully mediated both the influence of creativity and intellectual capital to SMEs’ sustainability. Although this research only involved participants in East Java, this study can be the first step for relevant research of SMEs’ sustainability, in particular, in Indonesia.

The implementation of physical or social distancing during the Covid-19 pandemic has an implication on the shifting of conventional to online business activities. This study aims to explore how financial support, perceived benefits, external pressure determine social media marketing as well as understanding the role of internet and e-business technology (IEBT) that occurs in this relationship. This study adopted a quantitative study with Structural Equation Modeling (SEM)-based variance Partial Least Square (PLS), which aims to enhance understanding of the relationship between variables. The surveyed population of this study came from 123 small- and medium-sized enterprise (SME) owners in East Java of Indonesia, using an online survey and selected with the convenience random sampling method. The findings of this study indicated that the perceived benefits and external pressure have a positive effect on the adoption of IEBT. However, financial support failed in explaining SMEs’ adoption of IEBT. This study confirmed that the adoption of IEBT has successfully mediated the influence of financial support, perceived benefits, and external pressure on social media marketing. Despite the samples solely collected from East Java, this study is the first step in research related to the social media marketing in SMEs in Indonesia.

This study examines the determinant factors affecting young people in preparing entrepreneurship in Indonesia. This study involved several variables, including the need for achievement, risk perception, locus of control, entrepreneurial attitude to predict entrepreneurial intention, and preparation for entrepreneurship among young people. The approach utilized in this study was a quantitative research design using a survey model. The participants of this study were recruited from young people in East Java, Indonesia. Structural equation modeling with Partial Least Square (SEM-PLS) was implemented to test the hypotheses and the relationships between variables. The findings of this research showed that the attitudes toward entrepreneurship and entrepreneurial intention of young people in Indonesia are determined by several variables such as the need for achievement, risk perception, and locus of control. The correlation between variables showed one positive direction in which all independent variables can influence dependent variables. Additionally, the result of this study confirms a robust relationship between the attitude toward entrepreneurship and preparing for entrepreneurship among young people. Lastly, this study showed a positive correlation between entrepreneurial intention and preparation for entrepreneurship. This study suggests that government institutions and universities need to be concerned about entrepreneurial programs to promote young entrepreneurs.

Glucosinolates (GSLs), beneficial secondary metabolites for human health are abundantly present in radish vegetable. Radish is a member of Brassicaceae family and its seed, leaf and root contain very important GSLs. The objective of this study was to determine the variation of individual and total GSL contents in leaves and roots of 44 radish (Raphanus spp.) germplasm (26 R. sativus L., 3 R. raphanistrum, and 15 R. sativus L. var. raphanistroides Makino), and compare the GSL contents between leaves and roots among three Raphanus species. Thirteen GSLs were identified, being the glucoraphasatin (GRS) and glucobrassicin (GBS) the most abundant aliphatic and indolyl GSLs in both the leaves and roots. Variation in individual and total GSL contents was found among the germplasm of three Raphanus species. The GRS content was higher in roots than that of leaves in all three Raphanus species but the GBS content was higher in leaves than roots. GRS was represented 87.0%, 92.7% and 94.7% of the total GSL in roots of R. sativus L., R. raphanistrum and R. sativus L. var. raphanistroides (Makino) germplasm, respectively. Germplasm of R. raphanistrum exhibited the highest (average, 79.5 μmol/g dw) total GSL with a ranged from 62.7 to 92.9 μmol/g dw. The germplasm IT119288, Joseonmu and IT119262 from R. sativus L., RA 504 and K046542 from R. raphanistrum, and Gyeongju-2003-32 (G2003-32) and IT302373 from R. sativus L. var. raphanistroides (Makino) had high total GSL contents and these could be good candidates for developing the functional compounds-rich varieties in radish breeding program.

Soluble sugar content in soybean seed is an important quality attribute for soyfood and feed. Usually, soluble sugars comprise 6 to 17% of total dry wt. in mature soybean seeds. In this study, 414 soybean mutant lines induced by gamma-ray were screened by colormetric assay, FACE (Fluorophore-assisted carbohydrate electrophoresis), and GC-MS to identify the change of soluble sugar contents. Among 414 soybean mutant lines, 12 mutant lines derived from three different soybean cultivars (Hwanggum, Paldal, and Bangsa) showed higher level of soluble sugar content compared to their original cultivars. However, 5 mutant lines derived from soybean landrace KAS 636-15 showed lower level in the colormetric assay. In FACE, 17 soybean mutant lines selected by colormetric assay also showed different band intensity compared with their original cultivars. However, there were no different soluble sugar patterns between soybean original cultivars and mutant lines. Finally, the variations of soluble sugar content in 17 soybean mutant lines were confirmed by using GC-MS. These mutant lines will be used for genetic study to find mutations of genes related soluble sugar biosynthesis.

It is extremely important to predict the logistics requirements in a scientific and rational way. However, in recent years, the improvement effect on the prediction method is not very significant and the traditional statistical prediction method has the defects of low precision and poor interpretation of the prediction model, which cannot only guarantee the generalization ability of the prediction model theoretically, but also cannot explain the models effectively. Therefore, in combination with the theories of the spatial economics, industrial economics, and neo-classical economics, taking city of Erdos as the research object, the study identifies the leading industry that can produce a large number of cargoes, and further predicts the static logistics generation of the Erdos and hinterlands. By integrating various factors that can affect the regional logistics requirements, this study established a logistics requirements potential model from the aspect of spatial economic principles, and expanded the way of logistics requirements prediction from the single statistical principles to an new area of special and regional economics.

The protein in soybean seeds accounts for approximately 40% of the dry seed weight. Two major storage proteins, 7S and 11S, constitute 70-80% of the total storage proteins in the seeds. In this study, the variation of total soluble protein extracts from 1152 soybean landraces that have been collected from South Korea were studied using high-throughput screening method with HT Protein Express Labchip (Caliper Life Sciences, Inc.). Seven distinct protein band patterns - four protein sub-units of 11S and three sub-units of 7S, were taken into account and their presence or absence were analyzed. Among the 1152 landraces, 525 genotypes were identified as lacking lipoxygenase, 255 lacking α1 subunit, 680 lacking α subunit, 169 lacking β subunit, 140 lacking acidic, 114 lacking Kunitz Trypsin Inhibitor (KTi) and 199 lacking basic protein patterns. The high-throughput protein analysis is helpful in screening a large number of populations with less time and minimum labor. The selected genotypes with low amounts or lacking of anti-nutritional factors such as trypsin inhibitor, lipoxygenase and α subunit would be used for future breeding purpose of quality improvement in soybean protein.

As the competition among the container terminals in Korea has become increasingly fierce, every terminal is striving to increase its investments constantly and lower its operational costs in order to maintain the competitive edge and provide satisfactory services to terminal users. The unreasoning behavior, however, has induced that substantial waste and inefficiency exists in container terminal production. Therefore, it is of great importance for the terminal to know whether it has fully used its existing infrastructures and that output has been maximized given the input. From this perspective, data envelopment analysis (DEA) provides a more appropriate benchmark. This study applies three models of DEA to acquire a variety of analytical results about the operational efficiency to the Korean container terminals. According to efficiency value analysis, this study first finds the reason of inefficiency. It is followed by identification of the potential areas of improvement for inefficient terminals by applying slack variable method and giving the projection results. Finally, return to scale approach is used to assess whether each terminal is in a state of increasing, decreasing, or constant return to scale. The results of this study can provide terminal managers with insight into resource allocation and optimization of the operating performance.

The container port industry has been variously studied by many researchers, because the contemporary container transportation and container port industries play a pivotal role in globalization of the world economy. For container terminals, the productivity, affected by many factors, is an important target in measuring container terminal performance. Under this background, finding the critical factors affecting the productivity is necessary. Regression analysis can be used to identify which independent variables are related to the dependent variable, and explore the relationships of them. The aim of paper is to evaluate the factors affecting the productivity of Chinese major terminals by using a regression statistical analysis modeling approach, which is to establish the variable preprocessing model (VPM) and regression analysis model (RAM), by means of collecting the major Chinese container terminals data in the year of 2008.

Lunasin is a unique 43-amino acid peptide which has shown a chemopreventive in mammalian cells and in a skin cancer mouse model. In search for new sources of lunasin and the role of cereals in cancer prevention, we report here the properties of lunasin purified from millet. Stability of millet lunasin was measured by in vitro digestibility assay using pepsin and pancreatin. Inhibition of HAT (histone acetyltransferase) and nuclear localization in mammalian cells were used to measure lunasin bioactivity as the cancer chemopreventive agent. Lunasin present in millet crude protein was stable to pepsin and pancreatin in in vitro digestion and inhibited the activities of HATs. When added exogenously, lunasin purified from millet internalized in the nuclei of mouse fibroblast cells. On the base of this result, we conclude that lunasin in millet is bioactive and consumption of millet may play an important role on cancer prevention in millet-consuming populations.

Starch RVA profile parameters serve as important indices in the estimation of rice cooking and eating quality. Four cold- tolerant and five cold-sensitive japonica rice varieties grown at 3 different altitudes in Yunnan plateau were used in this experiments. RVA parameters including peak viscosity(PKV), hot viscosity(HTV), final viscosity(FLV), breakdown viscosity(BDV), setback viscosity(SBV) and pasting temperature(PaT) were investigated. SBV and PaT of cold tolerant varieties and PKV, BDV and SBV of cold-sensitive varieties were significantly influenced by environments. The variances of RVA parameters were affected by genotype×environment interactions in cold tolerant and sensitive varieties. The coefficients of variation of RVA parameters except for SBV in cold tolerant varieties were lower than those in cold sensitive varieties. HTV, FLV and SBV of cold tolerant varieties were significantly lower, while PKV, BDV and PaT were significantly higher than those of cold sensitive varieties. With altitude increasing, SBV and PaT of cold sensitive varieties increased significantly, whereas PKV, HTV, FLV and BDV decreased significantly. However, PKV, BDV and PaT of cold tolerant varieties gradually increased while HTV, FLV and SBV increased and then gradually decreased with altitude rising. These results suggested that cooking and eating quality would be improved by improving cold tolerance of rice varieties in breeding program.

Lunasin is small subunit peptide of coded from Gm2S-1 gene in soybean. It has been previously demonstrated that lunasin is a novel and promising cancer preventive peptide. Lunasin peptide is found only in the seed and not other tissues. And lunasin peptide starts to appear at 5 weeks after flowering and remains in the mature seed. We report here firstly lunasin peptide identified from soybean callus induced by the tissue culture and demonstrate its anticancer properties. The lunasin was identified and purified from soybean callus aged for 6 months. The callus lunasin(1μm) inhibited the acetylation of histone H3 and H4 by 58.8% and 56.5%, respectively. And it fully inhibited foci formation compared to the values of the positive control(no lunasin) and negative control(no MCA). Purified lunasin was able to internalize into the cell and localized in the nucleus.

The purpose is to study the identification method of Huangjinju powder for injection and the medicinal materials by the fingerprint off-ray Diffraction Fourier (XRDF). We used the same method on both the studying of Huangjinju and the medicinal materials. Then we selected a few components alignment to compare. We analyzed the data by setting up the deviation d(a) as ±0.05 to calculate the rate of special mark on the sample (Px) and on the patent (P). The special XRDF of Huangjinju[d(a)/(I/I0)] have 5 peaks that have not expressed in medicinal materials. Therefore Px is 22.73%. Flos Trollii Chinensis has 3 special marks and Px is 17.65%. Flos Chrysanthemi Indici has 1 special mark and Px is 3.57%. Its coincided interplanar spacing with the patent is 2.907a. Flos Lonicerae Japonicae has 6 special marks and Px is 23.08%. Its special mark in the patent are 4.95/14 and 4.50/15, respectively. The P is 9.09%. Its coincided interplanar spacing with the patent is 2.910a and 3.05a, respectively. The number of special XRDF mark peaks of baicalin is 9 and Px is 18.37%. Its coincided interplanar spacing with the patent is 2.910a. It has visible mark and specificity adopting XRDF fingerprint to identify Huangjinju and medicinal materials. Establishing the quality standard is a synthetic index that depends both on special marks in the medicinal materials of the patent and on the coincidence peak data.