• Korean journal of applied entomology
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• v.53 no.2
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• pp.171-175
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• 2014

A taxonomic study of the genus Eudectus Redtenbacher in Korea is presented. Two species, E. japonicus Zerche and E. rufulus Weise, are newly added to the Korean fauna. Redescriptions, illustrations of the diagnostic features, and a key to the species are provided.

• Korean journal of applied entomology
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• v.54 no.1
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• pp.25-30
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• 2015

A taxonomic study of the genus Thamiaraea Thomson in Korea is presented. The genus and its two species (T. diffinis Sharp and T. japonica Cameron) are new to the Korean Peninsula. A key, redescriptions and illustrations of diagnostic characters are provided.

• Korean journal of applied entomology
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• v.53 no.4
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• pp.441-448
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• 2014

We conducted taxonomic study of Languriinae in Korea. Nine species that belong to two genera of one tribe were identified in Korea. Two species, Anadastus ruficeps (Crotch) and Anadastus praetermissus (Janson), were recorded for the first time in Korea. Description, photographs of adults, illustrations of diagnostic characteristics, and a key have been provided.

• Korean journal of applied entomology
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• v.52 no.3
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• pp.181-184
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• 2013

A taxonomic study of Korean Leptusa Kraatz is presented. Two species-L. (Drepanoleptusa) deplanata (Sawada) and L. (Eospisalia) kitazawai kitazawai (Sawada)-are recognized. The genus and species are recorded for the first time in Korea. A key, diagnoses, habitus photographs and illustrations of diagnostic characters are provided.

• Animal Systematics, Evolution and Diversity
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• v.28 no.4
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• pp.317-321
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• 2012

Previously, 13 species in six genera of the subfamily Banchinae and 29 speices in 16 genera of the subfamily Pimplinae were known from Korea. In this paper, two species, Rynchobanchus minomensis (Uchida, 1933) and Theronia laevigata nigra Uchida, 1928 are new to Korea. Also, the genus Rynchobanchus is recorded for the first time in Korea. Only one species of Theronia, Theronia atalantae (Poda, 1761), was recorded from Korea by Uchida (1928). New Korean names proposed for these two species are "Eol-gul-ga-si-maep-si-beol" and "Geom-jeong-nap-jak-maep-si-beol" for the R. minomensis and T. laevigata nigra, respectively. A key to the species of Theronia, diagnosis and photographs of diagnostic characters of them are provided.

• Animal Systematics, Evolution and Diversity
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• v.29 no.3
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• pp.207-216
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• 2013

We recognized Linnaemya microchaetopsis Shima, L. picta (Meigen) and L. zachvatkini Zimin in Korean Linnaemya subgenus Ophina Robineau-Desvoidy and the latter two are reported for the first time in Korea. The subgenus Ophina shares the following morphological characteristics (sensu Shima): 1) the male tergite 6 is fused mid-dorsally with sternite 7+8; 2) the female tergite 6 and tergite 7 are almost always divided longitudinally into two hemitergites; 3) the female tergite 6 is always longer than the tergite 7; 4) circus parallel-sided in caudal view; 5) epiphallus present; and 6) pteropleural seta long, reaching posterior margin of lower calypter. We provide a key to the included Korean species, as well as descriptions and illustrations with their diagnostic characters indicated.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.2
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• pp.320-326
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• 2008

In this paper, we propose a new algorithm emulating the DNA characteristics for noise-tolerant pattern matching problem on digital system. The digital pattern matching becomes core technology in various fields, such as, robot vision, remote sensing, character recognition, and medical diagnosis in particular. As the properties of natural DNA strands allow hybridization with a certain portion of incompatible base pairs, DNA-inspired data structure and computation technique can be adopted to bio-signal pattern classification problems which often contain imprecise data patterns. The key feature of noise-tolerance of DNA computing comes from control of reaction temperature. Our hardware system mimics such property to diagnose cardiovascular disease and results superior classification performance over existing supervised learning pattern matching algorithms. The hardware design employing parallel architecture is also very efficient in time and area.

• Sleep Medicine and Psychophysiology
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• v.18 no.1
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• pp.17-22
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• 2011

Childhood narcolepsy is one of the underdiagnosed diseases even the first symptoms often appear in childhood. Making diagnosis through history taking is not always easy because the symptoms of childhood narcolepsy are different from those of adulthood. Diagnostic laboratory tests such as sleep studies, tests for human leukocyte antigens, cerebrospinal fluid hypocretin measurement should be considered when the child has excessive daytime sleepiness without cataplexy. Treatment approach should be start as early as possible to avoid secondary academic, emotional difficulties. Both pharmacological and non-pharmacological management, and close cooperation between parents and school teachers should be maintained. In the near future, childhood narcolepsy can be a key to understand the pathogenesis of narcolepsy.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.45-52
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• 2000

Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

• 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.