• Bulletin of the Korean Chemical Society
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• v.4 no.1
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• pp.17-25
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• 1983

The hyperfine integrals for 4d orbitals have been evaluated adopting a general method which is applicable to a general vector, R, pointing arbitrary direction in space. The operator and the spherical harmonic part of 4d orbitals are expressed in terms of R and r$_{N}$ and the exponential part, r$^{2}$exp(-2${\beta}$r), of 4d orbitals is also translated as a function of R and r$_{N}$ and then integration is performed. The radial integrals for 4d orbitals are tabulated in analytical forms. The hyperfine integrals for 4d orbitals are also represented in analytical forms, using the specific formulas of radial series which we found.

• Bulletin of the Korean Chemical Society
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• v.18 no.4
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• pp.424-427
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• 1997

To study the NMR chemical shift arising from the 5f-electron orbital angular momentum and the 5f-electron spin dipolar-nuclear spin angular momentum interactions, the evaluation of the hyperfine integrals has been extended to any pairs of SCF type 5f orbitals adopting a general method which is applicable to a general vector R, pointing in any direction in space. From the electronic wavefunctions for 5f orbitals expressed in common coordinate system, the radial part of the hyperfine interaction integrals are derived by translating the exponential part, r2 exp(-2βr), in terms of R, rN and the modified Bessel functions. The radial integals for 5f orbitals are tabulated in analytical forms. When two of the hyperfine integrals along the (100), (010), (001), (110), and (111) axes are calculated using the derived radial integrals, the calculated values for the 5f system change sign for R-values larger than R　0.35 nm. But the calculated values for the 4f systems change sign for R-values larger than R　0.20 nm.

• Clinical Psychopharmacology and Neuroscience
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• v.16 no.4
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• pp.501-504
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• 2018

Autoimmune hemolytic anemia is a disease characterized with destruction of erythrocytes as a result of antibody produce against patient's own erythrocytes and anemia. Autoimmune hemolytic anemia can be roughly stratified into two groups according to serological features and secondary causes including drugs induced hemolytic anemia. Drugs induced autoimmune hemolytic anemia is very rare in pediatric patients. Even though hematological side effects such as leucopenia, agranulocytosis, eosinophilia, thrombocytopenic purpura and aplastic anemia might occur due to psychotropic drug use; to the best of our knowledge there is no autoimmune hemolytic anemia case due to quetiapine, an atypical antipsychotics, in literature. We hereby describe the first child case of autoimmune hemolytic anemia during quetiapine treatment.We also are pointing out that one should keep in mind serious hematological side effects with atypical antipsychotic drug use with this case report.

• Journal of Astronomy and Space Sciences
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• v.35 no.4
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• pp.287-293
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• 2018

This paper presents a satellite relative navigation strategy for formation flying, which chooses an appropriate navigation algorithm according to the operating environment. Not only global positioning system (GPS) measurements, but laser measurements can also be utilized to determine the relative positions of satellites. Laser data is used solely or together with GPS measurements. Numerical simulations were conducted to compare the relative navigation algorithm using only laser data and laser data combined with GPS data. If an accurate direction of laser pointing is estimated, the relative position of satellites can be determined using only laser measurements. If not, the combined algorithm has better performance, and is irrelevant to the precision of the relative angle data between two satellites in spherical coordinates. Within 10 km relative distance between satellites, relative navigation using double difference GPS data makes more precise relative position estimation results. If the simulation results are applied to the relative navigation strategy, the proper algorithm can be chosen, and the relative position of satellites can be estimated precisely in changing mission environments.

• The Korean Journal of Physiology and Pharmacology
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• v.23 no.5
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• pp.311-315
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• 2019

Recently, digital health has gained the attention of physicians, patients, and healthcare industries. Digital health, a broad umbrella term, can be defined as an emerging health area that uses brand new digital or medical technologies involving genomics, big data, wearables, mobile applications, and artificial intelligence. Digital health has been highlighted as a way of realizing precision medicine, and in addition is expected to become synonymous with health itself with the rapid digitization of all health-related data. In this article, we first define digital health by reviewing the diverse range of definitions among academia and government agencies. Based on these definitions, we then review the current status of digital health, mainly in Korea, suggest points that are missing from the discussion or ought to be added, and provide future directions of digital health in clinical practice by pointing out certain key points.

• Journal of Industrial Convergence
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• v.12 no.1
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• pp.24-37
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• 2014

An increasing numbers ot enterprises are involving in the Contents marketing. The reason is that Contents Marketing owns the stronger influences on the market which relative to that of other media. In this research the aim is presenting of the effective schemes that suitable for the domestic contents marketing climate, through analytical research of current situations and pointing of potential issues of contents marketing progress. Enterprises may have the abundant and essential cognitions about the contents marketing before the starting of the contents marketing project. Then, it is useful to develop the correlative communication strategies, customers' management strategies and crisis-resolution strategies. All of that done may bring the functional benefits for the domestic enterprises investment in the contents marketing.

• Journal of Korea Multimedia Society
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• v.24 no.4
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• pp.528-537
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• 2021

Face recognition has gained significant notice because of its application in many businesses: security, healthcare, and marketing. In this paper, we will present the recognition method using the combination of correlation filters (CF) and Support Vector Machine (SVM). Firstly, we evaluate the performance and compared four different correlation filters: minimum average correlation energy (MACE), maximum average correlation height (MACH), unconstrained minimum average correlation energy (UMACE), and optimal-tradeoff (OT). Secondly, we propose the machine learning approach by using the OT correlation filter for features extraction and SVM for classification. The numerical results on National Cheng Kung University (NCKU) and Pointing'04 face database show that the proposed method OT-SVM gets higher accuracy in face recognition compared to other machine learning methods. Our approach doesn't require graphics card to train the image. As a result, it could run well on a low hardware system like an embedded system.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.505-517
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• 2021

This research presented an implementation of autostereoscopic virtual three-dimensional (3D) button device as non-contact style. The proposed device has several characteristics about visible feature, non-contact use and artificial intelligence (AI) engine. The device was designed to be contactless to prevent virus contamination and consists of 3D buttons in a virtual stereoscopic view. To specify the button pressed virtually by fingertip pointing, a simple deep learning network having two stages without convolution filters was designed. As confirmed in the experiment, if the input data composition is clearly designed, the deep learning network does not need to be configured so complexly. As the results of testing and evaluation by the certification institute, the proposed button device shows high reliability and stability.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.344-358
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• 2022

Text summarization is the task of producing a shorter version of a long document while accurately preserving the main contents of the original text. Abstractive summarization generates novel words and phrases using a language generation method through text transformation and prior-embedded word information. However, newly coined words or out-of-vocabulary words decrease the performance of automatic summarization because they are not pre-trained in the machine learning process. In this study, we demonstrated an improvement in summarization quality through the contextualized embedding of BERT with out-of-vocabulary masking. In addition, explicitly providing precise pointing and an optional copy instruction along with BERT embedding, we achieved an increased accuracy than the baseline model. The recall-based word-generation metric ROUGE-1 score was 55.11 and the word-order-based ROUGE-L score was 39.65.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.10-16
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• 2022

This paper focuses on the aesthetic ideology and aesthetic style embodied in the work of 'Blue is the Warmest Color' to dissect it and examine the identity and construction of identity as a minority group in a postmodern context. Blue is the Warmest Color is a film that focuses on homosexual emotions in adolescent development, showing the budding love and emotional orientation of a 15-year-old girl's adolescence, and the ecstsy and torment that comes with an awakened consciousness. The evolutionary process of the characters' emotional orientations is dissected, pointing out that the central theme of the film is the concern for fluid identity and self-identity. Through the narrative and the setting of the characters' emotional patterns and the "Body Writing" of women, this paper further examine the typical variability and fragmentation of postmodern identity, and interpret in detail the content, messages and effects of the characters' dialogues in the film to illustrate the way in which the work expresses class and identity differences. The research method is based on textual analysis and theoretical research.