• The Journal of Asian Finance, Economics and Business
• /
• 제8권3호
• /
• pp.1073-1081
• /
• 2021

When firms have higher environmental performance, they can provide sustainable business that allows firms to build the value of credibility and ethics, higher reputation, higher productivity, and lower costs. The advantages of environmental responsibilities help firms to maintain their earnings level over a long-term period. This research aims to examine the effect of environmental performance on earnings persistence. Research samples include 413 manufacturing firms-years listed in the Indonesian Stock Exchange and the PROPER evaluation in 2013-2019. Environmental performance is measured by PROPER evaluation rating. The result shows that environmental performance has a positive effect on earnings persistence. The advantage of environmental responsibilities allows firms to enjoy performance sustainability and persistence in a long-term period, not only periodically. Also, the positive effect of environmental performance on earnings persistence occurs more in the environmentally sensitive industry than non-sensitive ones. Since an environmentally-sensitive industry brings more environmental damage, higher environmental performance is more valuable to provide sustainability. This research has limitations to use all the Indonesian Stock Exchange-listed firms since not all firms participate in the PROPER evaluation. This research implies firms' management should maintain earnings persistence and sustainability by implementing higher-quality environmental responsibility, especially for firms in an environmentally-sensitive industry.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2004년도 춘계학술발표대회
• /
• pp.907-910
• /
• 2004

컴퓨터와 네트워크의 성능이 나날이 발전해감에 따라, 여러 대의 컴퓨팅 자원들을 통합하여 하나의 시스템처럼 사용하고자 하는 클러스터에 관한 연구가 활발히 진행되고 있다. 본 논문에서는 리눅스 기반의 컴퓨터 자원들을 하나의 클러스터로 구성하여 컴퓨팅 파워의 성능을 평가 하였다. 향후 대규모 그리드 환경에서의 효과적인 성능평가 수행을 위한 방법을 제시 하였다.

• Asian-Australasian Journal of Animal Sciences
• /
• 제12권4호
• /
• pp.554-557
• /
• 1999

Hatchery waste including infertile eggs, dead embryos in shell, dead or low grade chicks was cooked at $100^{\circ}C$ for 15 minutes and then oven dried and ground. Hatchery waste meal (HWM) thus prepared contained 44.25% protein, 4,573 kcal/kg gross energy, 3,600 kcal/kg metabolizable energy, 30% ether extract, 1.9% fibre, 14% ash, 9.8% nitrogen free extract, 7.26% Ca, 0.84%P, 1.86% lysine and 0.66% methionine with no Salmonella and E. coli. In biological evaluation trial, significantly higher weight gain was observed in ration containing 12% HWM compared with that containing similar amount of fish meal. Protein efficiency ratio on the two rations was 3.96 vs 2.85; protein digestibility, 86.02 vs 71.9; net protein utilization, 64.9 vs 42.37 and biological value, 75.37 vs 58.84, respectively, indicating better balance of amino acids in HWM compared with fish meal. Growth performance trial on broiler chicks also revealed better weight gain and feed efficiency on ration containing 12% HWM than that containing similar level of fish meal.

• Asian Pacific Journal of Cancer Prevention
• /
• 제14권9호
• /
• pp.5455-5459
• /
• 2013

Background: The risk of malignancy index (RMI) for the evaluation of adnexal masses is a sensitive tool in certain populations. The best cut off value for RMI 1, 2 and 3 is 200. The cut off value of RMI-4 to differentiate benign from malignant lesions is 450. Our aim was to evaluate the efficiency of four different malignancy indexes (RMI1-4) in a homogeneous population. Materials and Methods: We evaluated a total of 153 non-pregnant women with adnexal masses who did not have a history of malignancy and who were above 18 years of age. Results: A cut-off value of 250 for RMI-1 provided 95.9% inter-observer agreement, yielding 95.9% specificity, 93.5% negative predictive value, 75.0% sensitivity and 82.8% positive predictive value. A cut-off value of 250 for RMI-1 showed high performance in preoperative diagnosis of invasive malignant lesions than cut-off value of 200 in our population. A cut-off value of 350 for RMI-2 provided 94.5% inter-observed agreement, yielding 94.2% specificity, 93.4% negative predictive value, 75.0% sensitivity and 77.4% positive predictive value. RMI-2 showed the higher performance when the cut-off value was set at 350 in our population. A cut-off value of 250 provided 95.2% inter-observer agreement, yielding 95.0% specificity, 93.2% negative predictive value, 75.0% sensitivity, and 88.0% positive predictive value. RMI-3 showed the highest performance to diagnose malignant adnexal masses when the cut-off value was set at 250. In our study, RMI-4 showed similar statistical performance when the cut-off value was set at 400 [(Kappa: 0.684/p=0.000), yielding 93.8% inter-observer agreement, 93.4% specificity, 93.4% negative predictive value, 75.0% sensitivity, and 75.0% negative predictive value]. Conclusions: We showed successful utilization of RMIs in preoperative differentiation of benign from malignant masses. Many studies conducted in Asian and Pacific countries have reported different cut-off values as was the case in our study. We think that it is difficult to determine universally accepted cut-off values for RMIs for common use around the globe.

• Structural Engineering and Mechanics
• /
• 제49권4호
• /
• pp.463-477
• /
• 2014

In this paper, seismic performance of Kozyatagi Bridge is evaluated by employing nonlinear elasto-plastic dynamic analysis and the deformation-based performance. The time-history records of the 1999 Izmit, 1971 San Fernando and 1989 Loma Prieta earthquakes are modified by adopting a probability of exceedance of 2% in 50 years corresponding to the return period of 2475 years. The analysis is carried out for three different bearing cases which are movable bearings, restrained bearings, and movable bearings with viscous fluid dampers in the radial direction. The analysis results show that the bridge can be retrofitted with viscous fluid dampers. In this case the reinforced concrete piers need not be strengthened by any jacketing techniques in order to preserve the original architectural appearance of the bridge. The retrofitting design of the bridge with viscous fluid dampers is also presented in detail.

• Healthcare Informatics Research
• /
• 제24권4호
• /
• pp.335-345
• /
• 2018

Objectives: The retinal nerve fiber layer (RNFL) is a site of glaucomatous optic neuropathy whose early changes need to be detected because glaucoma is one of the most common causes of blindness. This paper proposes an automated RNFL detection method based on the texture feature by forming a co-occurrence matrix and a backpropagation neural network as the classifier. Methods: We propose two texture features, namely, correlation and autocorrelation based on a co-occurrence matrix. Those features are selected by using a correlation feature selection method. Then the backpropagation neural network is applied as the classifier to implement RNFL detection in a retinal fundus image. Results: We used 40 retinal fundus images as testing data and 160 sub-images (80 showing a normal RNFL and 80 showing RNFL loss) as training data to evaluate the performance of our proposed method. Overall, this work achieved an accuracy of 94.52%. Conclusions: Our results demonstrated that the proposed method achieved a high accuracy, which indicates good performance.

• 의학교육논단
• /
• 제9권2호
• /
• pp.1-12
• /
• 2007

Purpose: The aim of this study is to identify the elements of success in curriculum reformation using focus group interview and faculty survey. Methods: We analyzed the 105 questionnaires that were collected horn 450 faculties in Yonsei University College of Medicine from September 1 to September 12, 2005. The interview of focus group was conducted to 105 faculty and students using 10 interview questions from July 25 to August 29, 2005. The data of focus group interview and faculty survey were analyzed by content analysis. frequency and percentile. Results : 66.7% of faculty have pointed out that it is right a direction of new curriculum but there are some problems in curriculum management. The most frequently addressed problem in the new curriculum is as follows : ability of self-directed learning(15.3%). deficiency of faculty understanding(10.5%). The faculty comments on the improvement areas of new curriculum such as curriculum revision (8.6%). efficiency of curriculum management (6.7%), reward and incentive system of education(6.7%). The focus groups pointed out the important factors of curriculum reformation such as horizontal and vertical integrity between subjects, improvement of student achievement test, enhancement of self-directed learning. responsibility and authorities of course director. Conclusions : It should be concluded. to succeed curriculum reformation, which the purpose of curriculum reformation announces obviously and management group should effort continuously so that professors may understand the new curriculum. The course directors have to responsibility and authorities operating the subjects and the university should develop the students' evaluation system and faculty performance appraisal system.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권7호
• /
• pp.2568-2584
• /
• 2015

Spectral clustering has become one of the most popular clustering approaches in recent years. Similarity graph constructed on the data is one of the key factors that influence the performance of spectral clustering. However, the similarity graphs constructed by existing methods usually contain some unreliable edges. To construct reliable similarity graph for spectral clustering, an efficient method based on Markov random walk (MRW) is proposed in this paper. In the proposed method, theMRW model is defined on the raw k-NN graph and the neighbors of each sample are determined by the probability of the MRW. Since the high order transition probabilities carry complex relationships among data, the neighbors in the graph determined by our proposed method are more reliable than those of the existing methods. Experiments are performed on the synthetic and real-world datasets for performance evaluation and comparison. The results show that the graph obtained by our proposed method reflects the structure of the data better than those of the state-of-the-art methods and can effectively improve the performance of spectral clustering.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제4권4호
• /
• pp.452-474
• /
• 2010

Formidable growth of Internet technologies has revealed challenging issues about its scale and performance evaluation. Modeling and simulation play a central role in the evaluation of the behavior and performance of the large-scale network systems. Large numbers of nodes affect simulation performance, simulation execution time and scalability in a weighty manner. Most of the existing simulators have numerous problems such as size, lack of system theoretic approach and complexity of modeled network. In this work, a scalable discrete-event modeling approach is described for studying networks' scalability and performance traits. Key fundamental attributes of Internet and its protocols are incorporated into a set of simulation models developed using the Discrete Event System Specification (DEVS) approach. Large-scale network models are simulated and evaluated to show the benefits of the developed network models and approaches.

• 한국도서관정보학회지
• /
• 제53권4호
• /
• pp.211-232
• /
• 2022

연구업적평가는 계량서지학을 중심으로 활용하여 정량적인 기준을 중심으로 이루어져 왔다. 하지만 정량평가만을 활용한 평가에 여러 한계점이 드러나고 연구품질의 우수성 평가에 대한 요구가 커지며 정성적인 평가 요소의 중요성이 커지고 있다. 이에 본 연구는 2010년 이후 전 세계에서 나타난 연구 평가 개선을 위한 사례를 조사하여 소개하고, 연구업적평가에 도입 가능한 정성적인 요소를 추출하기 위해 외국대학의 업적평가 사례를 조사·정리하여 국내 도입을 제안하였다. 전 세계 상위 10개 대학의 업적평가 서류, 평가 절차, 심사기준 등을 분석하여 정성적 평가 요소를 추출하였다. 결과로 본 연구는 업적평가 문서의 다각화, 다면 평가와 다단계 업적평가 과정, 다양한 질적 업적평가 기준에 대해 국내 도입을 제안한다. 전통적인 계량서지학에서 연구 평가 지표 생성 시 인용도를 측정하였다면, 미래 지표에서는 추천 점수를 지표로 반영하거나, 산업 연계성, 교육/산업에서의 활용도 등을 포함할 수 있다. 궁극적으로 본 논문을 통해 업적평가 방식이 균형을 이루고, 교수의 연구업적평가가 개인이 우수한 연구자로 성장하여 연구 환경 발전에 도움이 될 수 있는 과정으로 기능하게 되기를 희망한다.