• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.595-604
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• 2021

This research aimed to explore the relationship between the challenge and enjoyment dimensions of intrinsic motivation and employee creativity at an individual level. Besides, the study focused on investigating the moderating role of empowering leadership in promoting employee creativity at work. In particular, in the context of Vietnam's electricity industry, the power generation stage faces significant challenges, forcing to innovate and restructure strongly to respond flexibly to the requirements of the electricity market development in Vietnam as well as gradually integrate with other countries in Southeast Asia. The authors used structural equations modeling (SEM) combined with Hayes' moderator variable analysis method (2017) based on primary data. The data included 550 questionnaires from technicians, engineers, and experts directly involved in the operation and production of 36 power generation businesses Vietnam. The results showed the relationship between the enjoyment dimension of intrinsic motivation and employee creativity is not statistically significant, which partly explains the instability of the link between intrinsic motivation and employee creativity. Meanwhile, the challenge dimension is positively associated with employee creativity, but this relationship is more robust in empowering leadership. The study also indicated the challenge dimension of intrinsic motivation is an important predictor of employee creativity.

• 대한수학교육학회지:수학교육학연구
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• 제13권1호
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• pp.57-75
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• 2003

The goal of this paper is to offer material which make mathematising Fruedenthal(1991) proposed be experienced through the process of teaching and learning mathematics. In this paper, the number of unit squares a diagonal passes through for an m$\times$n lattice rectangle is studied and its generalization is discussed. Through this discussion, the adaptability of this material Is analysed. Especially, beyond inductional conjecture, the number of unit squares is studied by more complete way, and generalization in 3-dimension and 4-dimension are tried. In school mathematics, it is enough to generalize in 3-dimension. This material is basically appropriate for teaching and learning mathematising in math classroom. In studying the number of unit squares and unit cubes, some kinds of mathematising are accompanied. Enough time are allowed for students to study unit squares and unit cubes to make them experience mathematising really. To do so, it is desirable to give students that problem as a task, and make them challenge that problem for enough long time by their own ways. This material can be connected to advanced mathematics naturally in that it is possible to generalize this problem in n-dimension. So, it is appropriate for making in-service mathematics teachers realize them as a real material connecting school mathematics and advanced mathematics.

• 구강회복응용과학지
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• 제26권4호
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• pp.455-462
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• 2010

치아의 마모를 보이는 환자가 진료실을 찾는 이유는 보통 심미적인 이유, 기능적인 이유, 지각 과민증의 증가 때문이다. 이때 먼저 병인 요소들의 조절이 필요하고, 환자의 나이가 고려되어야 한다. 전반적인 치아 마모를 보이는 환자의 치료를 위하여 때때로 전악을 보철로 수복해야 할 경우가 있고, 이때에는 보철물의 공간 확보를 위한 교합거상이 필요하다. 전악 수복을 할 때 장기적인 좋은 결과를 얻기 위해서는 정확한 진단, 적절한 수직고경 확립, 최적의 수복재료 선정을 바탕으로 지속적인 교합조정 및 구강 위생 관리가 필수적이다. 본 증례에서는 과도한 마모를 보여 심미적인 이유로 병원을 찾아온 환자로, 보철수복 공간을 위하여 교합고경을 증가시켜 중심위를 이용하여 수복한 치험례를 문헌고찰과 함께 보고하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.597-618
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• 2019

Categorical range aggregation, which is conceptually equivalent to running a range aggregation query separately on multiple datasets, returns the query result on each dataset. The challenge is when the number of dataset is as large as hundreds or thousands, it takes a lot of computation time and I/O. In previous work, only a single dimension of the range restriction has been solved, and in practice, more applications are being used to calculate multiple range restriction statistics. We proposed MCRI-Tree, an index structure designed to solve multi-dimensional categorical range aggregation queries, which can utilize main memory to maximize the efficiency of CRA queries. Specifically, the MCRI-Tree answers any query in $O(nk^{n-1})$ I/Os (where n is the number of dimensions, and k denotes the maximum number of pages covered in one dimension among all the n dimensions during a query). The practical efficiency of our technique is demonstrated with extensive experiments.

• 성인간호학회지
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• 제19권1호
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• pp.155-165
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• 2007

Purpose: The purpose of this study was to determine the relationships of pain cognition, performance status, and hope with health-related quality of life. Methods: Patients(n=149) with various cancer diagnoses completed the SF-36 standard Korean Version and the Herth Hope Index. The Perceived Meanings of Cancer Pain Inventory was used to measure the cognition dimension of pain, whereas the Brief Pain Inventory Korean version was used to represent the sensory dimension of pain. Results: The patients in the pain group had significant differences in the three dimensions(loss, threat, spiritual awareness) of pain cognition. There were statistically significant negative correlations between the three dimensions(loss, threat, and spiritual awareness) of pain cognitions and SF-36 dimension, and the positive correlations between challenge dimension and SF-36 dimension. Hope had the positive correlation with SF-36 dimensions. Conclusion: Pain has a negative impact on health-related quality of life, especially on physical health. However, patients who ascribed more positive meaning to their pain, tended to have a higher quality of life. Therefore, nursing intervention to reinforce the positive aspects of pain cognition is to empower patients to create a sense of control and assume an active role in pain management and quality of life.

• 한국산학기술학회논문지
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• 제20권6호
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• pp.48-54
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• 2019

본 연구는 직무요구-자원 모형을 기반으로 두어 건강상의 문제가 있음에도 불구하고 일을 하여 생산성이 감소되는 프리젠티즘의 심리적 원인에 대해 파악하고자 하였다. 프리젠티즘의 심리적 원인에 대해 알아보고자 직무자원을 개인적 차원의 심리적 자원인 긍정심리자본으로 재해석 하였으며, 직무요구를 도전성 및 방해성 스트레서로 구분하여 직무요구의 긍정적인 측면과 부정적인 측면에 대해 확인해보고자 하였다. 이를 위해 국내 다양한 직종에 종사하고 있는 직장인 329명을 대상으로 온라인 설문조사를 실시하였다. 자료분석은 SPSS 21.0과 AMOS 20.0을 사용하여 분석하였다. 연구결과, 도전성 스트레서는 직무열의와 정적으로 유의한 상관을 보였고, 방해성 스트레서는 직무열의와는 부적으로 유의한 상관을 직무탈진과는 정적으로 유의한 상관을 보였으며, 긍정심리자본은 직무열의와 정적상관을 직무탈진과는 부적으로 유의한 상관을 보였다. 마지막으로 프리젠티즘은 직무탈진과 부적으로 유의한 상관을 보였다. 마지막으로 이들 변인을 종합한 매개분석결과, 수용할 만한 부합도 지수를 보였다.

• 한국정보통신학회논문지
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• 제23권5호
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• pp.533-539
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• 2019

본 연구는 본 연구는 Microsoft Malware Classification Challenge 데이터 셋을 사용해 임의의 길이 입력 데이터에 대응할 수 있는 멀웨어 분류 모델을 제안한다. 우리는 기존 연구의 멜웨어 데이터를 이미지화 시키는 것을 기반으로 한다. 제안 모델은 멀웨어 데이터가 큰 경우는 많은 이미지를 생성하고, 작은 데이터는 적은 이미지를 생성한다. 생성된 이미지를 시계열 데이터로 Dynamic RNN으로 학습시킨다. RNN의 출력 값은 Attention 기법을 응용해 가장 가중치가 높은 출력만 사용하고, RNN 출력값을 다시 Residual CNN으로 학습시켜 최종적으로 멀웨어를 분류한다. 제안모델을 실험한 결과 검증 데이터 셋에서 Micro-average F1 score 92%를 기록하였다. 실험 결과 특별한 특징 추출 및 차원 축소 없이 임의 길이의 데이터를 학습 및 분류할 수 있는 모델의 성능을 검증할 수 있었다.

• 구강회복응용과학지
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• 제19권3호
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• pp.247-256
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• 2003

The patient had bruxism and epilepsy tendency. Inadequate or unstable posterior support was identified due to severe anterior attrition and decreased occlusal vertical dimension. Prematurities of posterior occlusal and wear facets increased the function of anterior teeth, resulting in severe wear. Wear facets displayed sharply defined peripheries, which are matched on articulated diagnostic casts. Also the patient showed C III malocclusion tendency, and lost some facial contour with drooping corners on the mouth. In this case, the alteration of OVD (Occlusal Vertical Dimention) may provide a biologically compatible adjunct to the treatment such as dentofacial esthetics, improved visual proportion in facial heightand mechanical solutions to the force-management of the masticatory system. The patient requires extensive restorative treatment to regain appropriate function, esthetics and comfort. According to the report by Farhad Fays, the average vertical distance from the maxillary to the mandibular mucolabial reflection in the region of the central incisors is approximately 34mm. However, the vertical distance of this patient was found to be 32mm, which was necessary to add gauge 20-sheets to apply vertical dimension. A removable occlusal overlay splint, which restores OVD to the estimated optimalposition, is the general first trial. The patient was observed periodically for 6 weeks, while appropriate adjustments were made vertical dimension to function. When patient felt comfortable with the splint, the teeth were prepared, and provisional restorations are placed for 3 months. The provisional restoration was fabricated by a diagnostic wax-up. When the patient felt comfortable with the provisional restoration, the final restoration mimics OVD, function, and esthetics that have been developed in the treatment restorations. Restoration of the extremely worn dentition presents a substantial challenge to thedentists. Therefore, careful evaluation of the etiology, history, and factors associated with occlusal vertical dimension should be preceded prior to the appropriate treatment planning.

• Applied Microscopy
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• 제51권
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• pp.6.1-6.9
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• 2021

Histopathology is a well-established standard diagnosis employed for the majority of malignancies, including breast cancer. Nevertheless, despite training and standardization, it is considered operator-dependent and errors are still a concern. Fractal dimension analysis is a computational image processing technique that allows assessing the degree of complexity in patterns. We aimed here at providing a robust and easily attainable method for introducing computer-assisted techniques to histopathology laboratories. Slides from two databases were used: A) Breast Cancer Histopathological; and B) Grand Challenge on Breast Cancer Histology. Set A contained 2480 images from 24 patients with benign alterations, and 5429 images from 58 patients with breast cancer. Set B comprised 100 images of each type: normal tissue, benign alterations, in situ carcinoma, and invasive carcinoma. All images were analyzed with the FracLac algorithm in the ImageJ computational environment to yield the box count fractal dimension (Db) results. Images on set A on 40x magnification were statistically different (p = 0.0003), whereas images on 400x did not present differences in their means. On set B, the mean Db values presented promising statistical differences when comparing. Normal and/or benign images to in situ and/or invasive carcinoma (all p < 0.0001). Interestingly, there was no difference when comparing normal tissue to benign alterations. These data corroborate with previous work in which fractal analysis allowed differentiating malignancies. Computer-aided diagnosis algorithms may beneficiate from using Db data; specific Db cut-off values may yield ~ 99% specificity in diagnosing breast cancer. Furthermore, the fact that it allows assessing tissue complexity, this tool may be used to understand the progression of the histological alterations in cancer.

• Structural Engineering and Mechanics
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• 제76권6호
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• pp.675-685
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• 2020

As the classical response surface method (RSM), the polynomial RSM is so easy-to-apply that it is widely used in reliability analysis. However, the trade-off of accuracy and efficiency is still a challenge and the "curse of dimension" usually confines RSM to low dimension systems. In this paper, based on the univariate decomposition, the polynomial RSM is executed in a new mode, called as DPRSM. The general form of DPRSM is given and its implementation is designed referring to the classical RSM firstly. Then, in order to balance the accuracy and efficiency of DPRSM, its adaptive order revision around the most probable point (MPP) is proposed by introducing the univariate polynomial order analysis, noted as RDPRSM, which can analyze the exact nonlinearity of the limit state surface in the region around MPP. For testing the proposed techniques, several numerical examples are studied in detail, and the results indicate that DPRSM with low order can obtain similar results to the classical RSM, DPRSM with high order can obtain more precision with a large efficiency loss; RDPRSM can perform a good balance between accuracy and efficiency and preserve the good robustness property meanwhile, especially for those problems with high nonlinearity and complex problems; the proposed methods can also give a good performance in the high-dimensional cases.