• 한국경영과학회지
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• 제30권3호
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• pp.137-149
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• 2005

This study proposes a framework enhancing the accuracy of estimation for project duration by combining linear Bayesian updating scheme with the learning curve effect. Activities in a particular project might share resources in various forms and might be affected by risk factors such as weather Statistical dependence stemming from such resource or risk sharing might help us learn about the duration of upcoming activities in the Bayesian model. We illustrate, using a Monte Carlo simulation, that for partially repetitive projects a higher degree of statistical dependence among activity duration results in more variation in estimating the project duration in total, although more accurate forecasting Is achievable for the duration of an individual activity.

• Journal of Gastric Cancer
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• 제15권3호
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• pp.151-158
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• 2015

Purpose: Obesity is associated with morbidity following gastric cancer surgery, but whether obesity influences morbidity after laparoscopic gastrectomy (LG) remains controversial. The present study evaluated whether body mass index (BMI) and visceral fat area (VFA) predict postoperative complications. Materials and Methods: A total of 217 consecutive patients who had undergone LG for gastric cancer between May 2003 and December 2005 were included in the present study. We divided the patients into two groups ('before learning curve' and 'after learning curve') based on the learning curve effect of the surgeon. Each of these groups was sub-classified according to BMI (<$25kg/m^2$ and ${\geq}25kg/m^2$) and VFA (<$100cm^2$ and ${\geq}100cm^2$). Surgical outcomes, including operative time, quantity of blood loss, and postoperative complications, were compared between BMI and VFA subgroups. Results: The mean operative time, length of hospital stay, and complication rate were significantly higher in the before learning curve group than in the after learning curve group. In the subgroup analysis, complication rate and length of hospital stay did not differ according to BMI or VFA; however, for the before learning curve group, mean operative time and blood loss were significantly higher in the high VFA subgroup than in the low VFA subgroup (P=0.047 and P=0.028, respectively). Conclusions: VFA may be a better predictive marker than BMI for selecting candidates for LG, which may help to get a better surgical outcome for inexperienced surgeons.

• Journal of Korean Neurosurgical Society
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• 제64권3호
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• pp.447-459
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• 2021

Objective : Oblique lateral interbody fusion (OLIF) is becoming the preferred treatment for degenerative lumbar diseases. As beginners, we performed 143 surgeries over 19 months. In these consecutive cases, we analyzed the learning curve and reviewed the complications in our experience. Methods : This was a retrospective study; however, complications that were well known in the previous literature were strictly recorded prospectively. We followed up the changes in estimated blood loss (EBL), operation time, and transient psoas paresis according to case accumulation to analyze the learning curve. Results : Complication-free patients accounted for 43.6% (12.9%, early stage 70 patients and 74.3%, late stage 70 patients). The most common complication was transient psoas paresis (n=52). Most of these complications occurred in the early stages of learning. C-reactive protein normalization was delayed in seven patients (4.89%). The operation time showed a decreasing trend with the cases; however, EBL did not show any significant change. Notable operation-induced complications were cage malposition, vertebral body fracture, injury to the ureter, and injury to the lumbar vein. Conclusion : According to the learning curve, the operation time and psoas paresis decreased. It is important to select an appropriately sized cage along with clear dissection of the anterior border of the psoas muscle to prevent OLIF-specific complications.

• Journal of Radiation Protection and Research
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• 제48권1호
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• pp.20-27
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• 2023

Background: As the number of nuclear facilities nearing their pre-determined design life increases, demand is increasing for technology and infrastructure related to the decommissioning and decontamination (D&D) process. It is necessary to consider the nature of the dismantling environment constantly changing and the worker doing new tasks. A method was studied that can calculate the effect of learning and the change in work time on the work process, according to the learning-forgetting curve model (LFCM). Materials and Methods: The LFCM was analyzed, and input values and scenarios were analyzed for substitution into the D&D process of a nuclear facility. Results and Discussion: The effectiveness and efficiency of the training were analyzed. It was calculated that skilled workers can receive a 16.9% less collective radiation dose than workers with only basic training. Conclusion: Using these research methods and models, it was possible to calculate the change in the efficiency of workers performing new tasks in the D&D process and the corresponding reduction in the work time and collective dose.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2031-2048
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• 2021

Not only can air pollution reduce the overall competitiveness of tourist destinations, but also changes tourists' travel decisions, thereby affecting the tourism flows. The study presents a machine learning method to analyze how the haze pollution puts spatial effect on tourism flows in China from 2001 to 2018, and reveals the regional differences in heterogeneity among eastern, central, and western China. Our investigation reveals three interesting observations. First, the Environmental Kuznets Curve of the impact of haze pollution on tourism flows is not significant. In the eastern and western regions, the interaction between haze pollution and domestic tourism flows as well as inbound tourism flows shows an inverted U-shaped curve respectively. Second, there is an significantly positive spillover effect of tourism flows in all of the eastern, central, and western regions. As to the intensity of spillover, domestic tourism flows is higher than that of the inbound tourism flows. Both of the above figures are greatest in the eastern. Third, the Chinese haze pollution mainly reduces the inbound tourism flows, and only imposes significantly negative direct effects on the domestic tourism flows in the central region. In the central and eastern regions, significantly negative direct effects and spillover effects are exerted on inbound tourism.

• Journal of Gastric Cancer
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• 제6권3호
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• pp.167-172
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• 2006

목적: 조기위암 치료에 있어서 복강경 위암 수술이 새로운 패러다임으로 정착하고 있다. 기존에 시행하고 있던 개복에 의한 위절제술에 익숙한 경험 많은 외과의사들은 복강경 위암 수술은 시간이 많이 소요되며 기술적으로 습득하는데 많은 제약이 있음을 느끼며 복강경 수술에 소극적 자세를 취하는 경향이 있다. 이에 저자 등은 개복 위절제술에 경험이 풍부한 외과의사에 의한 복강경 위절제술의 learning curve를 결정하고, 이에 영향을 미치는 요인들을 분석하였다. 대상 및 방법: 2005년 4월부터 2006년 3월까지 한 명의 술자에 의하여 수술전 조기 위암(cT1N0)으로 진단 받고 복강경 보조하 원위부 위절제술(LADG) 및 $D1+{\beta}$ 림프절 곽청을 시행 받은 62명을 대상으로 하였으며 복강경 위절제술 시행을 위하여 전문팀을 구성하였다. 대상 환자를 6명씩 한 그룹으로 총 10그룹(마지막 그룹은 8명으로 구성함)으로 나누어 각 그룹의 평균 수술시간을 비교하여 learning curve 극복 전후의 나이, 성별, 수술 후 합병증, 절개창의 길이, 수혈유무, 적출된 림프절 개수, 수술 전 후 혈색소 변화 등을 분석하였다. 결과: 평균 수술 시간을 분석한 결과 여섯 번째 그룹 (31st case)부터 수술 시간의 Plateau를 보였다. 이에 저자들은 learning curve 극복시점을 30th case (7개월)로 간주하였으며 극복 전후 집단 간의 평균 수술시간을 분석하였을 때 각각 $239.0{\pm}69.7$분과 $170.0{\pm}32.6$분으로 유의하게 나타났다(P<0.05), 양 군 간 평균나이, 성별, BMI, 수술 전후의 혈색소 수치변화, 적출된 림프절 개수 등은 유의한 차이를 보이지 않았다. 또한 절개창의 길이, 수혈유무, 수술 후 합병증 유무도 양 군 간에 통계적으로 유의하지 않았다. 결론: 저자들의 LADG learning curve 극복은 30예(7개월)로 다른 보고보다 일찍 도달할 수 있었다. 이는 개복 수술의 풍부한 경험, 전문 수술팀 구성, 그리고 단기간 집중적인 시술에 의한 것으로 생각된다.

• 산업경영시스템학회지
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• 제20권43호
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• pp.175-195
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• 1997

The learning curve has an important effect the growth of corporation. But, in Korea, the study and inference on the learning rate of each industry are unprepared, and so, Korean industires have difficult in productivity and cost. At this point, this study infers the learning rate of the oil industries and investigates the productivity and growth of them. In conclusion, this study presents the direction of the oil industries' development. With the intention of this objects, this study seizes the status which is concerned the total quantity, the operating rate, the plant capacity, the indicators concerning productivity, the investment of R & D and the scales, and then, infers and verifies the relevancy in connection with the learning rate. In the oil industry, the average rate of learning is 65.96% from 1982 to 1994 which the total quantity and the average operation time are used to infer the rate. To observe the low rate within a same period of time, this study takes the consequences that the learning rate is almost indentical with them each year. This steady state is caused by a difference between the employee and the decision maker about the acquirement and assimiliated of technology. When the high-quality technologies posses the environment to applicate in the scene of labor with them, this technology applies to the productivities. As the learning rate increases, the productivity has more effectiveness. The result of analysis about the effectiveness of the learning rate follows that the R & D unfoldes to exist and does not contribute to the growth of the oil industry. To analyze the variables of the growth, such as the learning rate, the investement of R & D, the operating rate and the gross value added to property, plant and equipment, the model is established and examined. The business strategy in the oil industry must be developed to achive the internal growth as well as the external.

• 구강회복응용과학지
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• 제33권2호
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• pp.88-96
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• 2017

목적: 치과 임플란트 캐드 소프트웨어를 이용하여 맞춤형 지대주 디자인 시에 소요되는 시간과 반복학습의 관계를 평가하는 것이다. 연구 재료 및 방법: 맞춤형 지대주 디자인은 3DS 캐드 소프트웨어와 EXO 캐드 소프트웨어를 사용하여 지정된 4개의 단계 순으로 시행되었고, 단계별로 3회 반복 측정하였다. 반복학습에 의한 학습효과는 학습곡선으로 나타냈고, 반복학습에 따른 디자인 시에 소요되는 총 시간과 단계별 소요되는 시간의 감소가 유의한지는 Friedman 검정과 사후검증(Wilcoxon signed rank test)으로 평가하였다. 디자인 시간과 군간의 차이는 반복 측정 이 요인 분석으로 평가하였다. 통계 분석은 SPSS 통계 소프트웨어를 사용하여 수행하였다(P < 0.05). 결과: 맞춤형 지대주 디자인의 반복학습은 횟수와 단계에 따라 유의한 차이를 나타냈다(P < 0.001). 디자인 시간에 따른 차이는 유의한 것으로 나타났으며(P < 0.001), 캐드 소프트웨어 간의 차이도 유의한 것으로 나타났다(P = 0.006). 결론: 캐드 소프트웨어의 반복학습은 디자인 시간을 단축하였고 디자인 평균시간은 3DS 캐드가 EXO 캐드에 비하여 더 적게 소요되었으나, 학습효과에 따른 학습률은 EXO 캐드가 3DS 캐드보다 좋은 결과를 보였다.

• 한국경영과학회지
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• 제26권1호
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• pp.61-69
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• 2001

This paper presents a two stage game model which examines the effect of learning-by-doing and spillover. Increases in the firm’s cumulative experience lower its unit cost in future period. However, the firm’s rival also enjoys the experience via spillover. Unlike previous theoretical research model, a cost asymmetric market entry game model is developed between the incumbent firm and new entrant. Mathematical results show that the incumbent firm exploits the learning curve to gain future cost advantage, and that the diffusion of learning to the new entrant induces the incumbent firm to choose decreasing output strategically. As a main result, we show that the relative magnitude between the learning and spillover rate determines the market share ratio of competing firms.

• Asia Marketing Journal
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• 제15권3호
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• pp.159-172
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• 2013

In the present study, we apply the multiple cue probability learning (MCPL) paradigm to examine consumer learning from feedback in repeated trials. This paradigm is useful in investigating consumer learning, especially learning the relationships between the overall quality and attributes. With this paradigm, we can analyze what people learn from repeated trials by using the lens model, i.e., whether it is knowledge or consistency. In addition to introducing this paradigm, we aim to demonstrate that knowledge people gain from repeated trials with feedback is robust enough to weaken one of the most often examined contextual effects, the asymmetric dominance effect. The experiment consists of learning session and a choice task and stimuli are sport rafting boats with motor engines. During the learning session, the participants are shown an option with three attributes and are asked to evaluate its overall quality and type in a number between 0 and 100. Then an expert's evaluation, a number between 0 and 100, is provided as feedback. This trial is repeated fifteen times with different sets of attributes, which comprises one learning session. Depending on the conditions, the participants do one (low) or three (high) learning sessions or do not go through any learning session (no learning). After learning session, the participants then are provided with either a core or an extended choice set to make a choice to examine if learning from feedback would weaken the asymmetric dominance effect. The experiment uses a between-subjects experimental design (2 × 3; core set vs. extended set; no vs. low vs. high learning). The results show that the participants evaluate the overall qualities more accurately with learning. They learn the true trade-off rule between attributes (increase in knowledge) and become more consistent in their evaluations. Regarding the choice task, there is a significant decrease in the percentage of choosing the target option in the extended sets with learning, which clearly demonstrates that learning decreases the magnitude of the asymmetric dominance effect. However, these results are significant only when no learning condition is compared either to low or high learning condition. There is no significant result between low and high learning conditions, which may be due to fatigue or reflect the characteristics of learning curve. The present study introduces the MCPL paradigm in examining consumer learning and demonstrates that learning from feedback increases both knowledge and consistency and weakens the asymmetric dominance effect. The latter result may suggest that the previous demonstrations of the asymmetric dominance effect are somewhat exaggerated. In a single choice setting, people do not have enough information or experience about the stimuli, which may lead them to depend mostly on the contextual structure among options. In the future, more realistic stimuli and real experts' judgments can be used to increase the external validity of study results. In addition, consumers often learn through repeated choices in real consumer settings. Therefore, what consumers learn from feedback in repeated choices would be an interesting topic to investigate.