In the P300-based concealed information test, most commonly used methods to detect whether a subject is lying are the bootstrapped amplitude difference (BAD) and the bootstrap correlation difference (BCD). Previous studies comparing the accuracy of the two methods reported inconsistent results. Most studies showed that the BAD is more accurate than the BCD, but some studies found that the BCD had a higher accuracy rate than the BAD. The purpose of the study is to identify conditions where the each method has higher accuracy compared to the other. In the result of Monte Carlo study, the false alarm rate of the BAD was generally higher than that of the BCD, and the hit rate of the BAD was higher than that of the BCD. Compared to the condition where the P300 latencies of probe and irrelevant were similar, the hit rate of the BCD was decreased when the P300 latency of probe was about 100 ms faster, and the hit rate of the BCD was increased when the P300 latency of probe was about 100 ms slower. When the P300 amplitude of the probe was slightly larger than that of the irrelevant and the P300 latency of probe was longer than that of target, the hit rate of the BCD was higher than that of the BAD. The reason why the false alarm rate of the BAD is higher than that of BCD and why the hit rate of the BCD is affected by the P300 latency of the probe were discussed.
Under the FTA agreement, preferential tariffs between FTA members will result in tariff reductions. In order to ensure the stable use of the FTA tariff system, it is necessary for the customs authorities to determine whether the origin goods are clearly applicable. This study analyzed the procedure of appeal according to the origin verification system based on the decision made by Korea Customs Service and Tax Tribunal. From this, we examined whether the rate of re-claiming a case rejected in the 'Review System of the Legality Before Taxation' differs. In addition, we carried out a quantitative analysis using bootstrapping technique in order to overcome the scarcity cases of verification of origin among FTA members. The implications of this paper are summarized as follows: First, we tested the hypothesis that the re-claiming rate of Western countries is higher. Second, some issues represented higher re-claiming rate. Third, there was no significant difference between the verification group and the re-claiming rate. Finally, even if an applicant makes a claim again, there is a possibility of being rejected again.
Objectives : This study aimed to examine the mediating effect of sleep quality and interpretation bias for ambiguity in the relationship between hopelessness and suicidal ideation in psychiatric patients. Methods : A total of 231 psychiatric outpatients and inpatients completed the Beck Hopelessness Scale, Pittsburgh Sleep Quality Index, Ambiguous/Unambiguous Situations Diary-Extended Version, and Ultra-Short Suicidal Ideation Scale. Data analysis was conducted using regression analyses and bootstrap sampling. Results : The results of this study showed that hopelessness had a direct effect on suicidal ideation, and that sleep quality and interpretation bias for ambiguity mediated the association between hopelessness and suicidal ideation. Moreover, there was a significant double mediating effect of sleep quality and interpretation bias for ambiguity on the relationship between hopelessness and suicidal ideation. Conclusions : These results suggest that it is important to consider both sleep quality and interpretation bias for ambiguity to prevent hopelessness from leading to suicidal idea. These results suggest that considering both sleep quality and interpretation bias for ambiguity may be important in preventing hopelessness from leading to suicidal ideation.
This study is a research study aimed at finding out the relationship between lifestyle and life satisfaction of single youth households and the relationship between the mediating role of interpersonal relationships and the effect of parents' social and economic status regulation in the relationship between lifestyle and life satisfaction. To this end, this study conducted a self-written survey of single-person youth households across the country through an online survey institution, regardless of gender, and used a total of 501 copies out of 520 subjects for final results analysis. The data were analyzed using the SPSS 25.0 and AMOS 25.0 programs, and the applied statistical techniques included correlation analysis, confirmatory factor analysis, structural equation model analysis, multi-group analysis, and bootstrap. As a result of the study, there was a significant positive (+) correlation between lifestyle, life satisfaction, and interpersonal relationships of single youth households, and interpersonal relationships were found to have a mediating effect in the relationship between lifestyle and life satisfaction. It was found to have a significant positive (+) effect on income and income satisfaction, but the moderating effect of education, economic activity, housing ownership type, and class consciousness was not significant. Based on the results of these studies, it was intended to provide basic data for developing various community programs and institutional arrangements for single youth households.
This study aims to test the relationship between brand embeddedness and cross-selling intention, as well as how customer satisfaction affects as mediator its relationship. The data set includes 258 consumers using a specific smartphone brand and we gather the data by conducting a survey. We use structural equation modeling to verify hypotheses and do nonparametric bootstrap approach for additional analysis of the mediating role of customer satisfaction. The results of analysis are as follows. First, it has been shown that barnd embeddedness positively affects customer satisfaction and cross-buying intention. Second, customer satisfaction is found to have a positive effect on cross-buying. By combining these results and additional analysis, we confirm that the direct effect of brand embeddedness is more effective for cross-buying intention than the indirect effect of customer satisfaction. The results of this empirical analysis show the academic value that brand embeddedness as social capital can be a antecedent for cross-buying intention. In addition, this study suggests the need for brand practitioners to increase the embeddedness of customers related to the brand and consider the mediating role of customer satisfaction together in order to increase cross-buying.
The 886-bp sequence of the mitochondrial region encoding the cytb gene was used to identify the origin of the Goryeong (GR) population of Pungitius kaibarae and to characterize genetic diversity and structure among wild populations. The GR population showed the lowest haplotype diversity (Hd=0.000), while the highest haplotype diversity was confirmed at 0.755 among the Goseoung (GS) population. Nucleotide diversity ranged was the highest diversity at 0.00291 in the GS population and the lowest diversity at 0.00000 in the GR population. The GR population was genetically closest to the Pohang (PH) population. The haplotype network confirmed that the GR population was most similar to the PH population. The GR population also clustered with the PH population with high bootstrap support (98%) in a phylogenetic tree. We thus conclude that the GR population is derived from a population similar to the PH population.
Predicting corporate failure has been an important topic in accounting and finance. The costs associated with bankruptcy are high, so the accuracy of bankruptcy prediction is greatly important for financial institutions. Lots of researchers have dealt with the topic associated with bankruptcy prediction in the past three decades. The current research attempts to use ensemble models for improving the performance of bankruptcy prediction. Ensemble classification is to combine individually trained classifiers in order to gain more accurate prediction than individual models. Ensemble techniques are shown to be very useful for improving the generalization ability of the classifier. Bagging is the most commonly used methods for constructing ensemble classifiers. In bagging, the different training data subsets are randomly drawn with replacement from the original training dataset. Base classifiers are trained on the different bootstrap samples. Instance selection is to select critical instances while deleting and removing irrelevant and harmful instances from the original set. Instance selection and bagging are quite well known in data mining. However, few studies have dealt with the integration of instance selection and bagging. This study proposes an improved bagging ensemble based on instance selection using genetic algorithms (GA) for improving the performance of SVM. GA is an efficient optimization procedure based on the theory of natural selection and evolution. GA uses the idea of survival of the fittest by progressively accepting better solutions to the problems. GA searches by maintaining a population of solutions from which better solutions are created rather than making incremental changes to a single solution to the problem. The initial solution population is generated randomly and evolves into the next generation by genetic operators such as selection, crossover and mutation. The solutions coded by strings are evaluated by the fitness function. The proposed model consists of two phases: GA based Instance Selection and Instance based Bagging. In the first phase, GA is used to select optimal instance subset that is used as input data of bagging model. In this study, the chromosome is encoded as a form of binary string for the instance subset. In this phase, the population size was set to 100 while maximum number of generations was set to 150. We set the crossover rate and mutation rate to 0.7 and 0.1 respectively. We used the prediction accuracy of model as the fitness function of GA. SVM model is trained on training data set using the selected instance subset. The prediction accuracy of SVM model over test data set is used as fitness value in order to avoid overfitting. In the second phase, we used the optimal instance subset selected in the first phase as input data of bagging model. We used SVM model as base classifier for bagging ensemble. The majority voting scheme was used as a combining method in this study. This study applies the proposed model to the bankruptcy prediction problem using a real data set from Korean companies. The research data used in this study contains 1832 externally non-audited firms which filed for bankruptcy (916 cases) and non-bankruptcy (916 cases). Financial ratios categorized as stability, profitability, growth, activity and cash flow were investigated through literature review and basic statistical methods and we selected 8 financial ratios as the final input variables. We separated the whole data into three subsets as training, test and validation data set. In this study, we compared the proposed model with several comparative models including the simple individual SVM model, the simple bagging model and the instance selection based SVM model. The McNemar tests were used to examine whether the proposed model significantly outperforms the other models. The experimental results show that the proposed model outperforms the other models.
This study was carried out to decide ITS (internal transcribed spacer) sequence of some Korean native $Aster$ species and to resolve their relationship among Korean native $Aster$, including $Kalimeris$, $Gymnaster$, $Heteropappus$ genus separated from $Aster$ in a previously study based on the pappus length. We registered 11 ITS sequences of $Aster$ species including $A.$$glehni$ to GenBank and those sequences were used for the cluster analysis with $Kalimeris$ species. The size of ITS1 was varied from 248 to 256 bp, while ITS2 was varied from 220 to 222 bp. The G + C content of the ITS region ranged from 49.4 to 53.5%. Pairwise comparison results showed that the substitution rate of ITS1 and ITS2 region was 9% and 10%, respectively. $Kalimeris$ sensu strict substitution rate was lower than that of $Aster$ sensu strict species. The strict consensus parsimonious cluster analysis showed $A.$$tripolium$ is the first branching from the clade and the next is $A.$$scaber$. The $Kalimeris$ species except for the $A.$$hispidus$ were grouped into the same clade with high bootstrap value (91%) within $Aster$. $Gymnaster$ and $Heteropappus$ that has been classified by morphological characters were also grouped into broad sense $Aster$ clade. These results implied these three genera could be merged together into $Aster$ based on the ITS sequences.
The identity of toxin producers remains only hypothesis unless there were identified by strain isolation and analytical confirmation of both the cyanotoxin production and the genetic identity of the monoculture. The purposes of this study were to identify a morphologic and phylogenetic classification in Aphanizomenon flos-aquae strains isolated from the Nakdong River and to investigate the potential ability of the strains to produce toxins such as saxitoxin and cylindrospermopsin using target genes. The 16S rRNA and sxtA, sxtI, cyrA, cyrJ genes were analyzed on two strains (DGUC001, DGUC003) isolated from the Nakdong River. Morphological features of the strains were observed a shape of aggregated trichomes in parallel fascicles which can reach up to macroscopic size and a hyaline terminal cell without aerotope. In addition, the 16S rRNA phylogenetic analyses showed that the strains were identified as the same species with high genetic similarity of 98.4% and grouped within a monospecific andsupported cluster I of Aphanizomenon flos-aquae selected from GenBank of the NCBI. The cyrA and cyrJ genes encoding for the cylindrospermopsin-biosynthesis were not detected in the present study. The sxtA gene was in detected both the two strains, whereas the sxtI gene which had been suggested as a suitable molecular marker to detect saxitoxin-producing cyanobacteria was not found both the strains. Thus, the two strains isolated from Nakdong River were identified as the same species of Aphanizomenon flos-aquae Ralfs ex Bornet et Flahault 1888, the two strains were confirmed as potential non-producing strains of the saxitoxin and cylindrospermopsin.
Seo, Young-Il;Kim, Joo-Il;Oh, Taeg-Yun;Lee, Sun-Kil;Park, Jong-Hwa;Kim, Hee-Yong;Cho, Eun-Seob
Journal of Life Science
/
v.20
no.3
/
pp.336-344
/
2010
To assess population structure and genetic diversity among the Pacific cod (Gadus macrocephalus), we investigated mtDNA COI gene sequences of 7 populations. Samples were obtained from Sokcho, Wolsung, Geojedo, Yeosu, Geomundo and Westsouth in 2008 and 2009 (n=28). The sequence analysis of 28 individual samples showed 8 haplotypes, ranging in sequence divergence by pairwise comparisons from 0.2 to 2.2% (1 bp-11 bp). The Gal haplotype was found in Wolsung, Geojedo, Yeosu, Geomundo and Westsouth, and was regarded as the main haplotype of Korean Pacific cod. Ga2, Ga3, Ga6 and Ga7 haplotypes were found only in Sokcho. In the PHYLIP analysis, 8 haplotypes formed two independent groups: cladeA consisted of Ga2, Ga3, Ga6 and Ga7 haplotypes, whereas cladeB contained Gal, Ga4, Ga5 and Ga8 haplotypes. The genetic relationship between the two groups was weakly supported by bootstrap analysis(<50%). In pairwise comparisons between 6 populations other than that from Sokcho, a very high per generation migration ratio ($N_m$=infinite) and a very low level of geographic distance ($F_{sr}=-0.0123-(-0.0423)$) were observed. The estimates of genetic distance between Sokcho and the other localities were all statistically significant (p<0.05, p<0.01, p<0.001), indicating a limited mtDNA-based gene flow between Sokcho and other regions. The finding of the lowest genetic diversity in the Sokcho population (nucleotide diversity=0.00589) may be a result of relatively small population size and interrupted gene flow to other localities. Consequently, the overall considerable migration of Pacific cod population in Korea caused a genetically homogeneous structure to form, although a distinct population was found in this study.
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