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Jin, Wook,Kim, Hyo Kyung,Kim, Jae Young,Kang, Sung Gyun,Lee, Sang Hee,Lee, Kye Joon Elsevier 2004 Journal of biotechnology Vol.114 No.1
<P><B>Abstract</B></P><P>The effects of growth rate and nutrient uptake rate on the production of cephamycin C were determined in the parental strain, <I>ΔrelA</I> mutant, and <I>Δrsh</I> null mutant of <I>S. clavuligerus</I>. Production of cephamycin C was inversely related to mycelium growth and the phosphate feed rate was more critical for the production of cephmycin C. On the contrary, the production of cephamycin C was completely abolished in the <I>ΔrelA</I> mutant, but not in <I>Δrsh</I> mutant. The changes in the cephamycin C production by disruption of the <I>relA</I> and <I>rsh</I> genes are presumably associated with the consequent ability of the mutants to accumulate (p)ppGpp under nutrient starvation. Therefore, it is concluded that the stringent response of <I>S. clavuligerus</I> to starvation for nutrients is governed mainly by RelA rather than Rsh and that the response is more apparently regulated by the limitation of phosphate.</P>
Jin, Wook,Kim, Gou Young,Park, So Young,Chun, Young Soo,Rhyu, Kee Hyung,Park, Ji Seon,Ryu, Kyung Nam American Roentgen Ray Society, etc.] 2010 American Journal of Roentgenology Vol.195 No.2
<P>The objective of this article is to illustrate the sonographic findings of malignant, vascularized superficial soft-tissue masses and their look-alikes.</P>
Jin, Wook,Ryu, Kyung Nam,Kim, Gou Young,Kim, Hyun Cheol,Lee, Jae Hoon,Park, Ji Seon W.B. Saunders 2008 Journal of ultrasound in medicine Vol.27 No.2
<P>OBJECTIVE: The purpose of this study was to retrospectively evaluate the sonographic findings of ruptured epidermal inclusion cysts in superficial soft tissue, with an emphasis on shapes, pericystic changes, and pericystic vascularity. METHODS: The cases of 61 patients with surgically confirmed epidermal inclusion cysts were reviewed, and 13 patients were found to have ruptured cysts. The Ethics Committees of our institutions did not require patient approval or informed patient consent for this retrospective study. We evaluated the shapes, sizes, locations, pericystic changes, and pericystic vascularity for the 13 cases. RESULTS: The shapes of the ruptured epidermal inclusion cysts were classified into 3 types: with lobulations (type I, 2 cases), with protrusions (type II, 8 cases), and with abscess pocket formations (type III, 3 cases). The mean long diameter of the cysts was 3 cm. Common sites of ruptured epidermal inclusion cysts were the plantar surface of the metatarsophalangeal joint (4 cases) and buttocks (3 cases). Pericystic changes were noted in all of the type II and III cysts. Increased vascularity on color Doppler sonography was prominent in 3 type II cysts and 3 type III cysts. Deep abscess formation was noted in the epidermal inclusion cysts, especially for the type III cysts. CONCLUSIONS: A ruptured epidermal inclusion cyst visualized by sonography had variable shapes; the sonographic findings can be useful for obtaining a correct diagnosis of a ruptured epidermal inclusion cyst.</P>
Jin, Wook,Kim, Gou Young,Park, So Young,Chun, Young Soo,Nam, Deok Ho,Park, Ji Seon,Ryu, Kyung Nam American Roentgen Ray Society, etc.] 2010 American Journal of Roentgenology Vol.195 No.2
<P>The objective of this article is to illustrate the sonographic findings of benign, vascularized superficial soft-tissue tumors.</P>
Jin, Wook,Ryu, Yong Gu,Kang, Sung Gyun,Kim, Sung Keun,Saito, Natsumi,Ochi, Kozo,Lee, Sang Hee,Lee, Kye Joon Microbiology Society 2004 Microbiology Vol.150 No.5
<P>This study is focused on the involvement of the unusual nucleotide (p)ppGpp during the morphological and physiological differentiation of Streptomyces clavuligerus. In particular, the functional and structural elements of two genes encoding the proteins RelA and Rsh were identified. The relA gene encodes an 843 aa protein (RelA), while the rsh gene encodes a 738 aa protein (Rsh). The relA and rsh genes were disrupted by the insertion of a hygromycin resistance gene and an apramycin resistance gene, respectively. The synthesis of ppGpp in the relA gene-disrupted mutant was completely eliminated under conditions of starvation for amino acids, whereas synthesis persisted, but was greatly reduced in the rsh gene-disrupted mutant. The relA gene-disrupted mutant had a bald appearance on agar plate cultures and retarded growth in submerged culture, while the rsh-disrupted mutant was unchanged in growth characteristics relative to the wild-type culture. The production of both clavulanic acid and cephamycin C were completely abolished in the relA-disrupted mutant. Thus, it is concluded that the relA gene rather than rsh is essential for morphological and physiological differentiation in S. clavuligerus and that RelA primarily governs the stringent response of S. clavuligerus to starvation for amino acids.</P>
Reliability-Based Multiview Depth Enhancement Considering Interview Coherence
Jinwook Choi,Dongbo Min,Kwanghoon Sohn Institute of Electrical and Electronics Engineers 2014 IEEE Transactions on Circuits and Systems for Vide Vol. No.
<P>Color-plus-depth video format has been increasingly popular in 3-D video applications, such as auto-stereoscopic 3-D TV and freeview TV. The performance of these applications is heavily dependent on the quality of depth maps since intermediate views are synthesized using the corresponding depth maps. This paper presents a novel framework for obtaining high-quality multiview color-plus-depth video using a hybrid sensor, which consists of multiple color cameras and depth sensors. Given multiple high-resolution color images and low quality depth maps obtained from the color cameras and depth sensors, we improve the quality of the depth map corresponding to each color view by increasing its spatial resolution and enforcing interview coherence. Specifically, a new up-sampling method considering the interview coherence is proposed to enhance multiview depth maps. This approach can improve the performance of the existing up-sampling algorithms, such as joint bilateral up-sampling and weighted mode filtering, which have been developed to enhance a single-view depth map only. In addition, an adaptive approach of fusing multiple input low-resolution depth maps is proposed based on the reliability that considers camera geometry and depth validity. The proposed framework can be extended into the temporal domain for temporally consistent depth maps. Experimental results demonstrate that the proposed method provides better multiview depth quality than the conventional single-view-based methods. We also show that it provides comparable results, yet much more efficiently, to other fusion approaches that employ both depth sensors and stereo matching algorithm together. Moreover, it is shown that the proposed method significantly reduces bit rates required to compress the multiview color-plus-depth video.</P>
Jinwook Oh,Seungjin Lee,Hoi-Jun Yoo IEEE 2013 IEEE transactions on very large scale integration Vol.21 No.5
<P>Object recognition is computationally intensive and it is challenging to meet 30-f/s real-time processing demands under sub-watt low-power constraints of mobile platforms even for heterogeneous many-core architecture. In this paper, an intelligent inference engine (IIE) is proposed as a hardware controller for a many-core processor to satisfy the requirements of low-power real-time object recognition. The IIE exploits learning and inference capabilities of the neurofuzzy system by adopting the versatile adaptive neurofuzzy inference system (VANFIS) with the proposed hardware-oriented learning algorithm. Using the programmable VANFIS, the IIE can configure its hardware topology adaptively for different target classifications. Its architecture contains analog/digital mixed-mode neurofuzzy circuits for updating online parameters to increase attention efficiency of object recognition process. It is implemented in 0.13-μm CMOS process and achieves 1.2-mW power consumption with 94% average classification accuracy within 1-μs operation delay. The 0.765-mm<SUP>2</SUP> IIE achieves 76% attention efficiency and reduces power and processing delay of the 50-mm<SUP>2</SUP> image processor by up to 37% and 28%, respectively, when 96% recognition accuracy is achieved.</P>