• Title/Summary/Keyword: qualitative and quantitative analysis

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Gametogenic Cycle and the Number of Spawning Seasons by Quantitative Reproductive Analysis in Female Ruditapes philippinarum in Western Korea

  • Chung, Ee-Yung;Lee, Chang-Hoon;Choi, Ki-Ho;Choi, Moon-Sul;Lee, Ki-Young
    • The Korean Journal of Malacology
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    • v.26 no.3
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    • pp.245-254
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    • 2010
  • For the studies of germ cell development and maturation in the ovary, the gametogenic cycle and the number of spawning seasons per year in female Ruditapes philippinarum were investigated by quantitative statistical analysis using an Image Analyzer System. Compared with the results by qualitative and quantitative analyses, monthly variations in female gonad indice by qualitative histological analysis showed a pattern similar to that of the female gametogenic cycle calculated by quantitative statistical analysis. The number of spawning seasons occurred once per year, from June to October. In quantitative statistical analysis using an image analyzer system, monthly changes in the portions (%) of the ovary area to total tissue areas in females increased in March and reached a maximum in May, and then showed a rapid decrease from June to October when spawning occurred. And also monthly changes in portions (%) of follicle areas to the ovary area and in portions of oocyte areas to ovarian tissue areas in females began to increase in March and reached a maximum in May, and then. rapidly dropped from June to October when spawnig occurred. From these data, it is apparent that the number of spawning seasons occurred once per year, from June to October. Monthly changes in the number of the oocyte per $mm^2$ and in mean diameter of the oocyte in captured image which were calculated for each female slide showed a maximum in May and reached the minimum from December to February. Therefore, female R. philippinarum showed a unimodal gametogenic cycle during the year.

Qualitative Approach in Research on Human Resource Management (인적자원관리 연구를 위한 질적 접근방법의 고찰)

  • Lee, Jeong Eon
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.188-195
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    • 2016
  • Human resource management (HRM) deals with essentially complex human phenomena and multiple interactive relationships. Thus, the use of quantitative data to research and understand HRM is necessarily limited. Although important qualitative issues in HRM research are often central to supporting or creating a firm's competitive advantage, they are frequently neglected. Research into HRM is increasingly difficult and complicated, therefore, it is very difficult to research through strict quantitative methods. This paper's focus is to develop an effective idea for applying qualitative research approaches to HRM studies. A justification of a qualitative approach is considered as being a superior means for researching HRM issues. The underlying foundation of this paper is that new problems are confronted HRM research, therefore, qualitative research methods will be necessary. It is suggested that quantitative analysis in understanding and explaining firm's HRM is not sufficient and a qualitative may provide the indepth insight into HR researches.

Soft Set Theory Oriented Forecast Combination Method for Business Failure Prediction

  • Xu, Wei;Xiao, Zhi
    • Journal of Information Processing Systems
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    • v.12 no.1
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    • pp.109-128
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    • 2016
  • This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components whose weights are determined by the receiver operating characteristic (ROC) curve. The proposed procedure was applied to real data sets from Chinese listed firms. For performance comparison, single ES, LR, and SVM methods, the combined forecasting method based on equal weights (CFBEWs), the combined forecasting method based on neural networks (CFBNNs), and the combined forecasting method based on rough sets and the D-S theory (CFBRSDS) were also included in the empirical experiment. CFBSS obtains the highest forecasting accuracy and the second-best forecasting stability. The empirical results demonstrate the superior forecasting performance of our method in terms of accuracy and stability.

The Quantitative Analysis in terms of the Requisite for Logistics Support of the War History using Simulation Moscow Expedition of Napoleon (시뮬레이션을 이용한 전쟁사 군수지원 요소의 정량적 분석 : 나폴레옹의 모스크바 원정 사례 연구)

  • Jung, Won-Il;Byun, Mu-Hyun;Cho, Sung-Jin;Kang, Sung-Jin
    • Journal of the military operations research society of Korea
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    • v.37 no.1
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    • pp.27-38
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    • 2011
  • Purpose that studies the war history is to prevent the war in the advance through instruction that is gotten by understanding the past war and in case of emergency, it is to win victory in the war from the enemy by doing not commit a same mistake like the past war. For these reasons, many studies about the war history have proceeded continuously in domestic and outside the country, and those are being carried out in present. However, most of studies of the war history have been analyzed only on qualitative analysis. In this study, we want to suggest quantitative analysis method using simulation with qualitative analysis. As an example of study, we quantitatively analyzed the importance of logistics support on the Moscow expedition of Napoleon. Also, on the basis of this, we found failure factor of logistics support of Napoleon force and through this, deduced instruction. There is meaning that this paper suggested quantitative analytical method in terms of study of the war history with qualitative analytical method.

Development of uncertainly failure information for FFTA (FFTA(Fuzzy Fault Tree Analysis)에 의한 불확실한 고장정보 연구)

  • 정영득;박주식;김건호;강경식
    • Journal of the Korea Safety Management & Science
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    • v.3 no.2
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    • pp.113-121
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    • 2001
  • Today, facilities are composed of many complex components or parts. Because of this characteristics, the frequency of failures is decreasing, but the strength of failures is increasing; therefore, the failure analysis about many complex components or parts was needed. In the former research about Fault Tree Analysis, failure data of similar facilities have been used for forecasting about target system or components, but in case that the system or components for forecasting failure is new or qualitative and quantitative data are given simultaneously, there are many difficulty in using Fault Tree Analysis with this incorrect failure data. Therefore, this paper deal with the Fault Tree Analysis method which be applied with Fuzzy theory in above case. In case that , therefore, if there is no the correct failure data, it is represented a system or components as qualitative variable. subsequently, it converted to the quantitative value using fuzzy theory, and the values used as the value for failure forecast.

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Dynamic fracture instability in brittle materials: Insights from DEM simulations

  • Kou, Miaomiao;Han, Dongchen;Xiao, Congcong;Wang, Yunteng
    • Structural Engineering and Mechanics
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    • v.71 no.1
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    • pp.65-75
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    • 2019
  • In this article, the dynamic fracture instability characteristics, including dynamic crack propagation and crack branching, in PMMA brittle solids under dynamic loading are investigated using the discrete element method (DEM) simulations. The microscopic parameters in DEM are first calibrated using the comparison with the previous experimental results not only in the field of qualitative analysis, but also in the field of quantitative analysis. The calibrating process illustrates that the selected microscopic parameters in DEM are suitable to effectively and accurately simulate dynamic fracture process in PMMA brittle solids subjected to dynamic loads. The typical dynamic fracture behaviors of solids under dynamic loading are then reproduced by DEM. Compared with the previous experimental and numerical results, the present numerical results are in good agreement with the existing ones not only in the field of qualitative analysis, but also in the field of quantitative analysis. Furthermore, effects of dynamic loading magnitude, offset distance of the initial crack and initial crack length on dynamic fracture behaviors are numerically discussed.

Gametogenic Cycle by Quantitative Statistical Analysis and the Biological Minimum Size in Protothaca (Notochione) jedoensis (Bivalvia: Veneridae) in Western Korea

  • Park, Kwan-Ha;Chung, Ee-Yung;Lee, Chang-Hoon;Kim, Sung-Han;Kim, Sung-Yeon;Seo, Won-Jae;Ryu, Dong-Ki
    • The Korean Journal of Malacology
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    • v.27 no.3
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    • pp.261-271
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    • 2011
  • The gametogenic cycle, the spawning season and the biological minimum sizes in female and male Protothaca (Notochione) jedoensis were investigated by quantitative statistical analysis. In females, monthly changes in the percents of the follicle areas to the ovarian tissue areas and the percents of the oocyte areas to the ovarian tissue areas increased in February and reached the maximum in April, and then gradually decreased from May to July, with the spawning peak between June and July. In males, monthly changes in the percents of the testicular tissue areas to total tissue areas and the percents of the spermatogenic stage areas to the testicular tissue areas increased in February and reached the maximum in April, and then showed a rapid decrease from May to July. From these data, it is apparent that the number of spawning seasons in female and male P. (N.) jedoensis occurred once a year, from May to July. Therefore, P. (N.) jedoensis in both sexes showed a unimodal gametogenic cycle during the year. Compared the gametogenic cycle by quantitative statistical analysis in 2007 with the previous qualitative results of this species, the results of the gametogenic cycle calculated by quantitative statistical analysis showed some differentiations in the spawning seasons evaluated by the gonad index by qualitative histological analysis. The intervals of the beginning of two spawning seasons showed one month between the results of quantitative and qualitative analyses. The biological minimum sizes (considering to 50% of group sexual maturity) in female and male clams by quantitative analysis of this species are 32.01 mm in shell length in females and 30.58 mm in males, respectively. According to the mean shell length fitted to von Bertalanffy's equation, 30.58 and 32.01 mm in shell length were considered to be two years old. Therefore, we assume that both sexes of this population begin reproduction from two years of age.

Character Analysis of Silkworm Strains Registered as Genetic Stocks in Korea

  • Kang, Pil-Don;Kim, Kee-Young;Jung, I-Yoen;Kim, Mi-Ja;Jin, Byung-Rae;Kim, Ik-Soo
    • International Journal of Industrial Entomology and Biomaterials
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    • v.19 no.1
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    • pp.205-213
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    • 2009
  • In order for further systematic maintenance of silkworm stocks kept in Korea we analyzed character quality of a diverse array of silkworm strains originated from several sericulture-practicing countries. The analysis of about ten qualitative characters from 67 strains (13 of Japanese strains, 15 of Chinese strains, 14 of European strains, 6 of Korean and Tropical strains, and 19 of unknown origin) revealed a significant difference in the ten different qualitative characters among silkworm strains. In the analysis of quantitative characters, Japanese and European strains were highest in hatchability, the Korean and Tropical strains were highest in pupation rate, and unknown origin and Chinese strains were highest in cocoon yield and number of egg laid. With the connection of molecular genetic analysis the current data may provide the advanced ground for further systematic maintenance of valuable genetic resources of silkworms, although more breeds should be investigated for further complete pictures.

Deconstruction of the Street Fashion in 1990s -Focus on S/S pret-a-porter Collections- (1990년대 스트리트 패션에 나타난 해체주의 경향 -S/S 프레타포르테 콜렉션을 중심으로-)

  • 이영재;박민여
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.8
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    • pp.1155-1166
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    • 2000
  • The purpose of this study is to investigate deconstructive trends of the street fashion in the 1990s spring/summer(S/S) Collections. This study was carried out by both the qualitative analysis and the quantitative analysis. In the qualitative analysis, the important street fashion was grouped and deconstruction was sampling of category. In the quantitative analysis, it took frequency, percentage and $\chi$$^2$-test. The results of the quantitative analysis are as follows: 1. \"N대-Hippie/Grunge\" has been most popular street fashion through the 1990s. The next is \"Sportive Casual\". 2. According to \"deconstructive inner meanings\", there are significant differences between the S/S street fashion in the 1990s. In \"N대-Mods/Jazz\" style, \"Sportive Casual style\" and \"Technos/Cyber-punk\" style, \"Intertextuality\" is high. In \"N대-Hippie/Grunge\" style, \"Exhibition of Otherness\" is high. 3. According to the \"deconstructive outer description\", there are also significant differences between the S/S street fashion in the 1990s. But, In \"Neo-Mods/Jazz\" style, \"Not Included\" is high, which means the \"N대-Mods/Jazz\" isnt related to the \"deconstructive outer description\". In \"N대-Hippie/Grunge\" style, \"Poverty.outworn\" is high. In \"Sportive Casual\", \"Exposure\" is high. In the \"Technos/Cyber-punk\", \"Destruction.Division\" is high.

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