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The Effect of Pulsatility Index on Infarct Volume in Acute Lacunar Stroke
Kim, Yoon,Lee, Hanbin,An, Se-A,Yim, Byeongsoo,Kim, Jonguk,Kim, Ok Joon,Kim, Won Chan,Kim, Hyun Sook,Oh, Seung Hun,Kim, Jinkwon Yonsei University College of Medicine 2016 Yonsei medical journal Vol.57 No.4
<P><B>Purpose</B></P><P>Lacunar stroke, in the context of small vessel disease, is a type of cerebral infarction caused by occlusion of a penetrating artery. Pulsatility index (PI) is an easily measurable parameter in Transcranial Doppler ultrasound (TCD) study. PI reflects distal cerebral vascular resistance and has been interpreted as a surrogate marker of small vessel disease. We hypothesized that an increased PI, a marker of small vessel disease, might be associated with a larger infarct volume in acute lacunar stroke.</P><P><B>Materials and Methods</B></P><P>This study included 64 patients with acute lacunar stroke who underwent TCD and brain MRI. We evaluated the association between the mean PI value of bilateral middle cerebral arteries and infarct volume on diffusion-weighted MRI using univariate and multivariate linear regression.</P><P><B>Results</B></P><P>The mean infarct volume and PI were 482.18±406.40 mm<SUP>3</SUP> and 0.86±0.18, respectively. On univariate linear regression, there was a significant positive association between PI and infarct volume (<I>p</I>=0.001). In the multivariate model, a single standard deviation increase of PI (per 0.18) was associated with an increase of 139.05 mm<SUP>3</SUP> in infarct volume (95% confidence interval, 21.25 to 256.85; <I>p</I>=0.022).</P><P><B>Conclusion</B></P><P>We demonstrated that PI was an independent determinant of infarct volume in acute lacunar stroke. The PI value measured in acute stroke may be a surrogate marker of the extent of ischemic injury.</P>
Kim, Junyeap,Yoo, Hanbin,Lee, Heesung,Kim, Seong Kwang,Choi, Sungju,Choi, Sung-Jin,Kim, Dae Hwan,Kim, Dong Myong Elsevier 2018 Microelectronics and reliability Vol.85 No.-
<P>Parasitic resistances cause degradation of transconductance (g(m)), cutoff frequency (f(T)), current driving capability, and long term reliability of MOSFETs. We report a comprehensive extraction of parasitic resistance components in MOSFETs for the contact, the spreading current path, and the lightly doped drain region caused by the process, structure, and degradation. We considered the gate bias (V-GS)-dependence and the asymmetric overlap length (L-ov,L-SD) in the source and drain. We report systematically integrated extraction technique combined with the channel resistance method, the transfer length method, the dual-sweep combinational transconductance technique, the open drain method, and the parasitic junction current method. V Gs -independent resistances were separated to be R-Se = 6.8-6.9 Omega, R-De = 7.4-7.5 Omega, R-SUB = 7.4-7.6 Omega, R-So = 1.8-2.1 Omega, and R-Do = 3.2-3.5 Omega for MOSFETs with and at W/L = 50 mu m/0.27 mu m. V-GS-dependent intrinsic resistances are obtained to be R-Si = 1.9-4.4 Omega, R-Di = 1.4-3.2 Omega for the same devices. The V-GS-dependent intrinsic channel resistance (R-CH) is extracted with different channel lengths for MOSFETs with L = 0.18 mu m/0.27 mu m/0.36 mu m.</P>
Deformable Ionic Polymer Artificial Mechanotransducer with an Interpenetrating Nanofibrillar Network
Kim, So Young,Kim, Yongchan,Cho, Changhyeon,Choi, Hanbin,Park, Han Wool,Lee, Dayoon,Heo, Eunah,Park, Sangsik,Lee, Hojin,Kim, Do Hwan American Chemical Society 2019 ACS APPLIED MATERIALS & INTERFACES Vol.11 No.32
<P>We demonstrate an ionic polymer artificial mechanotransducer (i-PAM) capable of simultaneously yielding an efficient wide bandwidth and a blocking force to maximize human tactile recognition in soft tactile feedback. The unique methodology in the i-PAM relies on an ionic interpenetrating nanofibrillar network that is formed at the interface of (i) an ionic thermoplastic polyurethane nanofibrillar matrix with an ionic liquid of 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide ([EMIM]<SUP>+</SUP>[TFSI]<SUP>−</SUP>) and (ii) ionic poly(3,4-ethylenedioxythiophene):poly(styrenesulfonic acid) (PEDOT:PSS) conducting polymer electrodes with dimethyl sulfoxide and [EMIM]<SUP>+</SUP>[TFSI]<SUP>−</SUP> as additives. The i-PAM-based actuator with the ionic PEDOT:PSS exhibits a stable operation up to 200 Hz at low voltage as well as a blocking force of 0.4 mN, which can be potentially adapted to soft tactile feedback. Furthermore, on the basis of this fast i-PAM, we realized alphabet tactile rendering by using a 3 × 3 i-PAM array stimulated by a dc input of 2 V. We believe that our proposed approach can provide a rational guide to the human-machine soft haptic interface.</P> [FIG OMISSION]</BR>
머신러닝 기술을 활용한 손해보험사 현장조사 의뢰에 대한 효용 극대화
김아현(Kim, Ah-Hyeon),이보미(Lee, Bomi),양승철(Yang, Seungchul),곽한빈(Kwak, Hanbin),김대원(Kim, Daewon),이승권(Lee, Seungkwon) 대한산업공학회 2020 대한산업공학회 추계학술대회논문집 Vol.2020 No.11
보험사기 적발 금액이 지속해서 증가하는 요즘, 고객 보호 및 기업 손실 최소화를 위해 현장조사가 필요한 건을 적시에 의뢰하는 것은 굉장히 중요하다. 이를 위해 본 연구는 한 국내 손해 보험사의 보험금 청구 데이터를 이용하여, Boosting tree 알고리즘 기반으로 하는 다양한 알고리즘을 활용하여 현장조사 의뢰 필요 여부를 예측하고, 그 효용을 극대화하고자 하였다. 그 결과 현장조사 여부만을 Target 으로 하는 단일 모델이 아닌 여러 모델을 결합하는 3 가지 고도화 기법을 제시하였고 이를 통해 효용이 있는 현장조사 필요 건들을 더 많이 찾을 수 있었다.