• Proceedings of the KAIS Fall Conference
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• 2003.06a
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• pp.267-270
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• 2003

All artificial infernal organs which are using electric energy supply energy with inductive couple. Transcutaneous energy transmission system enhance survival chance of the patients and quality of life by reducing volume and mass. In this research, we used both tune in transmission system in state of fixing cycle in order to increase the voltage gain and the current gain and to reduce effect of leakage inductance. Also to maximize the effect of resonance, a constant frequency duty cycle control method is used. Test is progressed with litz wire which is set up with various sizes of core to minimize size of converter. This research aimed in analysis of transcutaneous energy transmission system and in measuring of stability and efficiency of Lithium-ion battery charge which are using transmitted energy.

• BMB Reports
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• v.56 no.1
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• pp.43-48
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• 2023

Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.421-422
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• 2021

In this paper, we develop an ultra-sensitive sensor and signal analysis system to measure the load on the wrist. The ultra-sensitive sensor inspired by the organs of a spider is manufactured and the measured signal attached to the wrist is analyzed using FFT (Fast Fourier Transform) and a fuzzy system.

• Proceedings of the Korean Environmental Health Society Conference
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• 2004.12a
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• pp.63-68
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• 2004

Immunohistochemical and ultrastructural experiments were conducted to find out heavy metal accumulation in some selected organs such as the kidney, the digestive gland, and the gill of the Antarctic clam Laternula elliptica and R. philippinarum. According to the immunohistochemical study the subject organs of the clam showed reactions indicating the presence of MT (metallothionein), a metal-binding protein involved in metal detoxifying process. Examination under the transmission electron microscope also revealed that other ligands may play a role in metal accumulating and detoxifying process in L. elliptica and R. philippinarum. In the artificial exposure of the clam to Cd, the clams showed immediate subcellular responses. The level of the anti-MT reactions became higher in the proportion to the degree of pollution of their habitat and to the period of Cd exposure. These suggest that the two species can be used as efficient biomarkers for Cd exposure in the natural environment.

• Applied Microscopy
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• v.26 no.1
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• pp.59-65
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• 1996

The silkworm feeding behaviour reveals two types of feeding response i. e., energetic and inert feeding response to diet. These two new technical terms are being introduced in the present study. The structures of functional organs of mouthpart and antenna of energetic and inert feeding response to diet were examined by scanning electron microscope. There is a big variations in the ultrastructures of different sensilla. The maxillary palpi or sensilla basiconica at the top of maxillary palpus of maxilla are well developed in the energetic larva while in the inert larva, these organs on the right side are extremely deformed. Similarly, these sensilla on the third segment of antenna are well developed in the larva energetic to diet has only two deformed sensilla basiconica, that is why silkworm can not show a proper form. This is related to abnormality and it is due to the fact that behaviour is too strong to select the food but fails and finally dies of the starvation.

• Journal of fish pathology
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• v.7 no.2
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• pp.127-149
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• 1994

Histopathological studies on the two lymphomyeloid organs of spleen and head kidney in tilapia, Oreochromis niloticus, were carried out to clarify the significance on the morphological characteristics of melano - macrophage centers (MMCs) which are varied in different physiological and pathological conditions of teleosts. To examine the histological changes by the artificial modification of the immunological states, tilapia were treated intraperitoneally with FKC and LPS of Edwardsiella tarda, and orally with dexamethasone, and then followed by the intraperitoneal injection of colloidal carbon for chasing the macrophages. There were marked differences in phagocytic avidity of macrophages, and accumulating patterns of carbon - ladening macrophages into the MMCs among the test groups. In the non - pretreated control group, carbon - ladening macrophages were densely accumulated at 12th and 20th day within the MMCs of head kidney and spleen, respectively. And, in the groups treated with bacterial antigens (FKC & LPS), the macrophages were more rapidly and densely aggregated within MMCs. But in the group with dexamethasone, only a few carbon particles were detected in both organs. Any compactly isolated form of particles was not found in this group. From the present results, it was strongly suggested that certain changes in immunological states of tilapia influence on the morphology of MMCs including the frequency of appearance, sizes, aggregating patterns or outlines. Therefore, morphology of MMCs would be very important in the interpretation for histopathological findings seen in the teleost's lymphomyeloid organs.

• Korean Journal of Remote Sensing
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• v.36 no.4
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• pp.573-586
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• 2020

PM (particulate matter) is of interest to everyone because it can have adverse effects on human health by the infiltration from respiratory to internal organs. To date, many studies have made efforts for the prediction of PM10 and PM2.5 concentrations. Unlike previous studies, we conducted the prediction of tomorrow's PM10 concentration for the Air Korea stations using Chinese PM10 data in addition to the satellite AOD and weather variables. We constructed 230,639 matchups from the raw data over 3 million and built an RF (random forest) model from the matchups to cope with the complexity and nonlinearity. The validation statistics from the blind test showed excellent accuracy with the RMSE (root mean square error) of 9.905 ㎍/㎥ and the CC (correlation coefficient) of 0.918. Moreover, our prediction model showed a stable performance without the dependency on seasons or the degree of PM10 concentration. However, part of coastal areas had a relatively low accuracy, which implies that a dedicated model for coastal areas will be necessary. Additional input variables such as wind direction, precipitation, and air stability should also be incorporated into the prediction model as future work.

• Progress in Medical Physics
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• v.31 no.3
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• pp.111-123
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• 2020

Deep learning (DL) is a subset of machine learning and artificial intelligence that has a deep neural network with a structure similar to the human neural system and has been trained using big data. DL narrows the gap between data acquisition and meaningful interpretation without explicit programming. It has so far outperformed most classification and regression methods and can automatically learn data representations for specific tasks. The application areas of DL in radiation oncology include classification, semantic segmentation, object detection, image translation and generation, and image captioning. This article tries to understand what is the potential role of DL and what can be more achieved by utilizing it in radiation oncology. With the advances in DL, various studies contributing to the development of radiation oncology were investigated comprehensively. In this article, the radiation treatment process was divided into six consecutive stages as follows: patient assessment, simulation, target and organs-at-risk segmentation, treatment planning, quality assurance, and beam delivery in terms of workflow. Studies using DL were classified and organized according to each radiation treatment process. State-of-the-art studies were identified, and the clinical utilities of those researches were examined. The DL model could provide faster and more accurate solutions to problems faced by oncologists. While the effect of a data-driven approach on improving the quality of care for cancer patients is evidently clear, implementing these methods will require cultural changes at both the professional and institutional levels. We believe this paper will serve as a guide for both clinicians and medical physicists on issues that need to be addressed in time.

• The Journal of the Society of Stroke on Korean Medicine
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• v.23 no.1
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• pp.41-54
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• 2022

Brady-arrhythmia is defined as an arrhythmia in which the heart rate slows to less than 60 beats per minute. Brady-arrhythmia reduces cardiac output and causes changes in blood flow. As a result, dizziness occurs because not only ischemia occurs in the central nervous system, but also blood flow in major organs decreases. The insertion of an artificial pacemaker is known as almost the only treatment alternative for patients with brady-arrhythmia with symptoms. This study reports a case of 85 year old male diagnosed with brady-arrhythmia complaining presyncope type of dizziness. The patient underwent complex Korean medicine treatments by herbal medicine, acupuncture and moxibustion. The daily average value of pulse rate, K-DHI score, NRS score and the patient's subjective expression of symptoms were used as evaluation tools. This study suggested a significant improvement in symptoms through complex Korean medicine treatments without the use of anti-arrhythmic drugs or insertion of an artificial pacemaker in the patient with brady-arrhythmia complaining dizziness.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.2-5
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• 2022

Human organs in the body have a complex structure, and in particular, the small intestine is about 7m long, so endoscopy is not easy and the risk of endoscopy is high. Currently, the test is performed with a capsule endoscope, and the test time is very long. The doctor connects the removed storage device to the computer to store the patient's capsule endoscope image and reads it using a program, but the capsule endoscope test results in a long image length, which takes a lot of time to read. In addition, in the case of the small intestine, there are many curves due to villi, so the occlusion area or light and shade of the image are clearly visible during the examination, and there may be cases where lesions and abnormal signs are missed during the examination. In this paper, we provide a method of assisting small intestine capsule endoscopic lesion examination using artificial neural networks to shorten the doctor's image reading time and improve diagnostic reliability.