• Progress in Medical Physics
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• v.30 no.2
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• pp.39-48
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• 2019

Deep learning has been applied to various medical data. In particular, current deep learning models exhibit remarkable performance at specific tasks, sometimes offering higher accuracy than that of experts for discriminating specific diseases from medical images. The current status of deep learning applications to molecular imaging can be divided into a few subtypes in terms of their purposes: differential diagnostic classification, enhancement of image acquisition, and image-based quantification. As functional and pathophysiologic information is key to molecular imaging, this review will emphasize the need for accurate biomarker acquisition by deep learning in molecular imaging. Furthermore, this review addresses practical issues that include clinical validation, data distribution, labeling issues, and harmonization to achieve clinically feasible deep learning models. Eventually, deep learning will enhance the role of theranostics, which aims at precision targeting of pathophysiology by maximizing molecular imaging functional information.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.5B no.4
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• pp.392-398
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• 2005

This paper presents technologies that have strategic importance in future motor drives. The underlying strategic issue for motor drives is maintaining cost while increasing certain dimensions of functionality. The dimensions of functionality which should increase include reliability and added value features such as providing continuous energy optimization, providing sensing of the driven system suitable for application specific diagnostic purposes, and providing continuously optimal thermal utilization of the capability of the drive. This paper will address each of these issues and discuss the technology status for each case, with a focus on research needed to fully deliver the needed functionality.

• Clinical and Experimental Pediatrics
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• v.50 no.3
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• pp.223-229
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• 2007

The fetus is completely dependent on mother for glucose and other nutrient transfer across the placenta. At birth, when the maternal supply is discontinued, the neonate must adjust to an independent existence. The changes in the neonate's glucose homeostasis during this transition to the extrauterine environment are influenced by the mother's metabolism and intrinsic fetal and placental problems. Maturation of carbohydrate homeostasis results from a balance between substrate availability and coordination of developing hormonal, enzymatic, and neural systems. These mechanisms may not be fully developed in neonates, so the neonate is vulnerable to carbohydrate disequilibrium resulting in damage to the central nervous system. Hypoglycemia is a relatively common metabolic problem seen during newborn care. However its definition, management and long term sequalae remain controversial. Hyporglycemia occurs frequently as a transient disorder with excellent prognosis. It also may persist and recur and cause permanent neurological complications. Although the key to effective treatment of hypoglycemia is diagnostic specific, the maintenance of euglycemia is critical to the preservation of central nervous system function. This article discusses physiology of perinatal glucose homeostasis, focusing on evaluation and treatment of hypoglycemia.

• Nuclear Medicine and Molecular Imaging
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• v.40 no.4
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• pp.193-199
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• 2006

Infectious and inflammatory bone diseases include a wide range of disease process, depending on the patient's age, location of infection, various causative organisms, duration from symtom onset, accompanied fracture or prior surgery, prosthesis insertion, and underlying systemic disease such as diabetes, etc. Bone infection may induce massive destruction of bones and joints, results in functional reduction and disability. The key to successful management is early diagnosis and proper treatment. Various radionuclide imaging methods including three phase bone scan, Ga-67 scan, WBC scan, and combined imaging techniques such as bone/Ga-67 scan, WBC/bone marrow scan add complementary role to the radiologic imaging modalities including plain radiography, CT and MRI. F-18 FDG PET imaging also has recently been introduced in diagnosis of infected prosthesis and chronic active osteomyelitis. Selection of proper nuclear medicine imaging method will improve the diagnostic accuracy of infections and inflammatory bone diseases, based on understading of pathogenesis and radiologic imaging findings.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.14 no.4
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• pp.263-268
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• 2001

This paper describes the effects of applied bias conditions on electrochemical etch-stop characteristics. THere are a number of key issues such as diode leakage and ohmic losses which arise when applying the conventional 3-electrochemical etch-stop to fabricated some of he MEMS(microelectro mechanical system) and SOI(Si-on-insulator) structures which employ SDB(Si-wafer direct bonding). This work allows to perform anin situ diagnostic to predict whether or not an electrochemical etch-stop would fail due to diode-leakage-induced premature passivation. In addition, it presents technology which takes into account the effects of ohmic losses and allows to calculate the appropriate bias necessary to obtain a successful electrochemical etch-stop.

• Animal cells and systems
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• v.16 no.1
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• pp.34-40
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• 2012

Seven species of the genus $Melanaphis$ van der Goot are recognized in Korea, including $M.$ $sorini$ Halbert and Remaudi$\grave{e}$re new to Korea. Morphometric analysis is performed based on 27 major characteristics to determine the morphometric correlation between species and to suggest useful diagnostic characters in this species complex. We provide the identification key based on the results of the morphometric analysis.

• Smart Structures and Systems
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• v.5 no.2
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• pp.139-152
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• 2009

Globally, civil infrastructures are deteriorating at an alarming rate caused by overuse, overloading, aging, damage or failure due to natural or man-made hazards. With such a vast network of deteriorating infrastructure, there is a growing interest in continuous monitoring technologies. In order to provide a true distributed sensor and control system for civil structures, we are developing a Structural Nervous System that mimics key attributes of a human nervous system. This nervous system is made up of building blocks that are designed based on mechanoreceptors as a fundamentally new approach for the development of a structural health monitoring and diagnostic system that utilizes the recently developed piezo-fibers capable of sensing and actuation. In particular, our research has been focused on producing a sensory nervous system for civil structures by using piezo-fibers as sensory receptors, nerve fibers, neuronal pools, and spinocervical tract to the nodal and central processing units. This paper presents up to date results of our research, including the design and analysis of the structural nervous system.

• Korean journal of applied entomology
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• v.55 no.4
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• pp.343-346
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• 2016

A taxonomic study of Korean Hydrovatus Motschulsky is presented. Two species are recognized, one of which (H. acuminatus Motschulsky) is reported for the first time in Korea. Habitus, key and diagnostic characters with line drawings of the species are provided.

• Korean journal of applied entomology
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• v.55 no.4
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• pp.495-499
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• 2016

The specimens belonging to the family Biphyllidae were collected at Mt. Baekun-san (Nonsil and Hanjae), Jeollanam-do with Lindgren funnel traps from May to August, 2015. Through this study, we report seven species of the genus Biphyllus including three newly recorded species; B. aequalis (Reitter), B. flexuosus (Reitter) and B. kuzurius Sasaji. We herein present the key to the identification of species of the Korean Biphyllidae and illustrations of diagnostic characteristics of them.

• Sleep Medicine and Psychophysiology
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• v.12 no.1
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• pp.11-16
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• 2005

Sleep can be easily disrupted by variety of conditions. Most of medical illnesses could be a primary condition causing secondary insomnia. The common underlying mechanism of secondary insomnia is presumed to be stress effects on sleep. The assessment and treatment of secondary insomnia are often complicated. Establishing an causal inference between primary condition and insomnia is the key to assessment. However, it can be difficult even for experienced clinicians due to diagnostic ambiguity of secondary insomnia. Therefore, through medical evaluation and integrative understanding of primary condition is essential to manage secondary insomnia properly. Although treatment have been usually focused on the primary medical illnesses per se, nonpharmacologic interventions, such as sleep hygiene, might be effective in many cases.