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公开(公告)号:US20190062375A1
公开(公告)日:2019-02-28
申请号:US16081342
申请日:2017-03-28
Inventor: Yong Sung KIM , Ye Jin KIM
IPC: C07K7/08 , C07K16/28 , A61K39/395 , A61K38/17 , A61K38/08
Abstract: The present invention relates to methods of overcoming the resistance to an EGFR (Epidermal Growth Factor Receptor)-targeting antibody through a peptide that binds specifically to neuropilin-1 (NRP1). Moreover, the present invention relates to a fusion antibody in which a peptide that binds specifically to NRP1 is fused to an EGFR-targeting antibody, and to a composition of overcoming the resistance to an EGFR-targeting antibody alone by co-administration of the EGFR-targeting antibody and an NRP1-binding peptide-fused Fc. In addition, the fusion antibody according to the present invention, in which the NRP1-specific binding peptide is fused to an EGFR-targeting antibody, overcomes the resistance to the EGFR-targeting antibody alone in pancreatic cancer. Furthermore, the fusion antibody, in which the NRP1-specific binding peptide is fused to the EGFR-targeting antibody, also overcomes resistance to the EGFR-targeting antibody alone even in lung cancer. Thus, the NRP1-specific binding-fused EGFR-targeting antibody according to the present invention may be highly effective in the treatment of various tumors resistant to EGFR-targeting antibody alone.
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公开(公告)号:US20190049628A1
公开(公告)日:2019-02-14
申请号:US16057128
申请日:2018-08-07
Inventor: Chang-Koo KIM , Jun-Hyun KIM
IPC: G02B1/11 , H01L31/054 , H01L31/028 , H01L31/0236 , H01L33/46
Abstract: The present disclosure provides a structure having a low reflectance surface, wherein the structure comprises: a base plate; and a plurality of inclined rods protruding from a first face of the base plate and inclined relative to a normal line to the first face, wherein the inclined rods are spaced from each other. Travel paths of light beams in the structure may be longer along the inclined rods. As a result, a larger amount of light may be absorbed by the structure having a low reflectance surface. The amount of light-beams as reflected from the structure having a low reflectance surface may be significantly reduced.
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83.
公开(公告)号:US10204304B2
公开(公告)日:2019-02-12
申请号:US14937307
申请日:2015-11-10
Inventor: Seokwon Lee , Sinyoung Park
IPC: G06N5/02
Abstract: In a variability modeling method implemented in a computer system to implement a self-adaptive system, the variability modeling method includes building ontology in which a target system to be modeled is defined through requirement analysis of the target system, deciding whether adaptation is required by continuously monitoring the target system and a change in environment, and when it is decided that the adaptation is required, performing reconfiguration of the target system by determining the variable point suitable for a change in context.
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公开(公告)号:US10058316B2
公开(公告)日:2018-08-28
申请号:US15312291
申请日:2015-05-14
Inventor: Moon Gu Lee , Yong Ho Jeon , Kil Yeon Lee , Jae Seung Kim
CPC classification number: A61B17/0218 , A61B2017/00283 , A61B2017/00411 , A61B2017/00876
Abstract: A surgical traction apparatus according to the present invention includes a moving body portion including a magnetic body and configured to be inserted into a body, a hook portion configured to be connected to the moving body portion inside the body and pull an object inside the body, an operating portion configured to operate the moving body portion to move inside the body while moving outside the body, and a magnet portion configured to be mounted on the operating portion and be with adjustable magnetic strength.
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公开(公告)号:US20180240016A1
公开(公告)日:2018-08-23
申请号:US15687773
申请日:2017-08-28
Inventor: Tae Shik SHON , Seok Jun LEE , Seok Cheol LEE , Hyung Uk YOO
Abstract: Provided is a method for generating a one class model based on a data frequency. The method for generating a one class model based on a data frequency includes: generating, by a machine learning apparatus, a plurality of spatial coordinates by arranging a plurality of learning data in corresponding coordinates in a feature space; classifying, by the machine learning apparatus, the plurality of spatial coordinates into a plurality of internal coordinates PI and a plurality of external coordinates PO based on a frequency of the learning data arranged in the respective spatial coordinates which belong to the plurality of spatial coordinates; and generating, by the machine learning apparatus, a one class model based on the plurality of internal coordinates PI based on mutual spatial distances of the plurality of external coordinates PO and the plurality of internal coordinates PI.
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公开(公告)号:US20180166289A1
公开(公告)日:2018-06-14
申请号:US15580370
申请日:2016-06-07
Inventor: Chang-Koo KIM , Sung-Woon CHO , Jun-Hyun KIM , Jeong-Geun BAK
IPC: H01L21/3065 , H01L21/033 , H01L21/02 , B32B33/00
CPC classification number: H01L21/3065 , B32B33/00 , B32B2307/73 , B32B2307/732 , B32B2457/14 , B81B1/008 , B81B2201/055 , B81B2203/0361 , B81B2207/056 , B81C1/00031 , B81C1/00111 , B81C1/00206 , B81C1/00214 , B81C1/00531 , B81C1/00539 , B82Y40/00 , C09D5/00 , C09K13/00 , H01L21/02112 , H01L21/0334
Abstract: The present invention relates to a method for producing a super-hydrophobic surface, and to a stack having a super-hydrophobic surface prepared by the above method. The super-hydrophobic surface may be realized only by plasma etching and deposition. The super-hydrophobic surface according to the present invention has a very low work of adhesion less than or equal to 3 mJ/m2. This super-hydrophobic surface may be applied to various fields including self-cleaning surface, anti-fogging surface, automobile glass surface, and drug delivery device surface.
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公开(公告)号:US20180152711A1
公开(公告)日:2018-05-31
申请号:US15819027
申请日:2017-11-21
Inventor: Myung Hoon SUNWOO , Jong Hyun BAE
IPC: H04N19/147 , H04N19/172 , H04N19/119
CPC classification number: H04N19/147 , H04N19/119 , H04N19/157 , H04N19/172 , H04N19/176 , H04N19/196 , H04N19/96
Abstract: Provided is a history based CU depth determining method. A history based CU depth determining method according to an exemplary embodiment of the present disclosure is a method for determining depths of a plurality of coding units (CU) included in each of a plurality of coding tree units (CTU) which configures a frame of a video, including: dividing a plurality of previous CTUs of a plurality of previous frames which are the same position as a current CTU of a current frame into a plurality of areas to generate depth history information including information of a CU depth for each of the plurality of areas; determining a plurality of depth candidates for a CU depth for each of the plurality of areas of the current CTU, based on the depth history information; and selecting an optimal CU depth among the plurality of depth candidates for each of the plurality of areas of the current CTU, through a rate-distortion cost (RD-cost) calculation.
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88.
公开(公告)号:US20180148728A1
公开(公告)日:2018-05-31
申请号:US15540611
申请日:2015-12-31
Inventor: Pyung Cheon LEE , Bo Hyun CHOI , Sun Hyoung CHOI
CPC classification number: C12N15/70 , C12N9/001 , C12N9/0073 , C12N9/1048 , C12N9/1085 , C12N9/90 , C12N15/01 , C12P23/00 , C12Y103/9903 , C12Y114/13129 , C12Y205/01001 , C12Y205/01032 , C12Y505/01019
Abstract: Provided is a mutant having an ability to overproduce carotenoids and a method for producing carotenoids by using the mutant. The mutant, of which mutations are induced by irradiation after being transformed with a recombinant vector according to the subject matter, has an excellent ability to produce carotenoids and can be mass-produced, and thus can be useful in various industrial fields, which use carotenoids, such as cosmetics, food, and feed.
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公开(公告)号:US20180148455A1
公开(公告)日:2018-05-31
申请号:US15578086
申请日:2015-12-23
Inventor: Sang Dun CHOI , Prasannavenkatesh DURAI , Asma ACHEK
IPC: C07D487/04 , C07D409/12 , C07D211/26 , C07D243/08 , C07C251/24 , C07D265/30 , C07D401/12 , C07D471/10 , C07D211/34 , C07D401/14 , C07D403/06 , C07D403/12 , C07D401/06 , C07D333/78 , C07D207/277 , C07D471/04 , A61P7/00 , A61P17/00 , A61P37/08 , A61P11/06 , A61P27/02 , A61P1/02 , A61P27/00 , A61P27/16 , A61P1/00 , A61P31/12 , A61P11/00 , A61P1/04 , A61P19/06 , A61P19/02 , A61P29/00 , A61P13/12 , A61P25/28
CPC classification number: C07D487/04 , A61K9/0053 , A61K31/4178 , A61K31/4453 , A61K31/496 , A61K31/506 , A61K31/5377 , A61K31/551 , A61P1/00 , A61P1/02 , A61P1/04 , A61P7/00 , A61P11/00 , A61P11/06 , A61P13/12 , A61P17/00 , A61P19/02 , A61P19/06 , A61P25/28 , A61P27/00 , A61P27/02 , A61P27/16 , A61P29/00 , A61P31/12 , A61P37/08 , C07C251/24 , C07D207/277 , C07D211/26 , C07D211/34 , C07D243/08 , C07D265/30 , C07D333/78 , C07D401/06 , C07D401/12 , C07D401/14 , C07D403/06 , C07D403/12 , C07D409/12 , C07D471/04 , C07D471/10
Abstract: The present disclosure relates to a novel small molecule TLR2 antagonist, and particularly, to 19 novel TLR2 antagonists, a pharmaceutical composition, including the antagonists, for preventing or treating inflammatory diseases, and a TLR4 regulator.The novel TLR2 antagonists according to the present disclosure can be effectively used as a preparation for oral administration by having low molecular weight and high oral bioavailability, and can be useful in pharmaceutical compositions for preventing or treating inflammatory diseases since the secretion of IL-8 is effectively inhibited and in vivo cytotoxicity is not induced. In addition, the novel TLR2 antagonists according to the present disclosure can be used as a TLR4 regulator.
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公开(公告)号:US20180144534A1
公开(公告)日:2018-05-24
申请号:US15821981
申请日:2017-11-24
Inventor: Kyung Won LEE , Hyo Ji HA , Hyun Woo HAN , Sung Yun BAE , Ji Hye LEE , Chang Hyung HONG , Sang Joon SON , Hyun Jung SHIN
IPC: G06T15/00
CPC classification number: G06T15/00 , G06F16/00 , G06K9/6218 , G06T11/206 , G06T19/00 , G16H50/70
Abstract: Provided is a method of visualizing a plurality of nodes respectively including a plurality of variable values for a data object. The method includes: allocating a predetermined upper limit value and a predetermined lower limit value for each of a plurality of variables to vertices of a three-dimensional polygon facing each other; respectively determining partial positions related to the variables for the nodes based on the upper limit value and the lower limit value for each of the variables, a maximum variable value and a minimum variable value for each variable from among variable values of the nodes, and the variable values of the nodes; respectively determining final positions of the nodes in the three-dimensional polygon based on the determined partial positions; and arranging the nodes in the three-dimensional polygon according to the determined final positions.
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